National Library of Energy BETA

Sample records for field discoveries estimated

  1. Published New Reservoir Proved Revision Revision New Field Discoveries

    U.S. Energy Information Administration (EIA) Indexed Site

    Total natural gas proved reserves, reserves changes, and production, wet after lease separation, 2014 billion cubic feet Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases Decreases Sales Acquisitions Extensions Discoveries in Old Fields Production Reserves State and subdivision 12/31/13 (+,-) (+) (-) (-) (+) (+) (+) (+) (-) 12/31/14 Alaska 7,383 -25 268 690 167 195 146 0 0 305 6,805 Lower 48 States 346,611 4,930 55,060 53,654

  2. Published New Reservoir Proved Revision Revision New Field Discoveries

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated natural gas proved reserves, reserves changes, and production, wet after lease separation, 2014 billion cubic feet Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases Decreases Sales Acquisitions Extensions Discoveries in Old Fields Production Reserves State and Subdivision 12/31/13 (+,-) (+) (-) (-) (+) (+) (+) (+) (-) 12/31/14 Alaska 955 -24 89 137 0 34 138 0 0 101 954 Lower 48 States 294,549 3,533 41,975 44,047

  3. Published New Reservoir Proved Revision Revision New Field Discoveries

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-dissolved natural gas proved reserves, reserves changes, and production, wet after lease separation, 2014 billion cubic feet Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases Decreases Sales Acquisitions Extensions Discoveries in Old Fields Production Reserves State and Subdivision 12/31/13 (+,-) (+) (-) (-) (+) (+) (+) (+) (-) 12/31/14 Alaska 6,428 -1 179 553 167 161 8 0 0 204 5,851 Lower 48 States 52,062 1,397

  4. Virginia Dry Natural Gas Reserves New Field Discoveries (Billion...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) Virginia Dry Natural Gas Reserves New Field ... New Field Discoveries of Dry Natural Gas Reserves Virginia Dry Natural Gas Proved Reserves ...

  5. North Dakota Dry Natural Gas Reserves New Field Discoveries ...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) North Dakota Dry Natural Gas Reserves New Field ... New Field Discoveries of Dry Natural Gas Reserves North Dakota Dry Natural Gas Proved ...

  6. West Virginia Dry Natural Gas Reserves New Field Discoveries...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) West Virginia Dry Natural Gas Reserves New ... New Field Discoveries of Dry Natural Gas Reserves West Virginia Dry Natural Gas Proved ...

  7. Published New Reservoir Proved Revision Revision New Field Discoveries

    U.S. Energy Information Administration (EIA) Indexed Site

    Shale natural gas proved reserves, reserves changes, and production, wet after lease separation, 2014 billion cubic feet Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases Decreases Sales Acquisitions Extensions Discoveries in Old Fields Production Reserves State and Subdivision 12/31/13 (+,-) (+) (-) (-) (+) (+) (+) (+) (-) 12/31/14 Alaska 0 0 0 0 0 0 0 0 0 0 0 Lower 48 States 159,115 12,113 27,643 26,199 5,029 7,657 35,401

  8. Published New Reservoir Proved Revision Revision New Field Discoveries

    U.S. Energy Information Administration (EIA) Indexed Site

    Coalbed methane proved reserves, reserves changes, and production, 2014 billion cubic feet Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases Decreases Sales Acquisitions Extensions Discoveries in Old Fields Production Reserves State and Subdivision 12/31/13 (+,-) (+) (-) (-) (+) (+) (+) (+) (-) 12/31/14 Alaska 0 0 0 0 0 0 0 0 0 0 0 Lower 48 States 12,392 1,796 3,299 1,020 442 680 395 0 0 1,404 15,696 Alabama 413 641 42 40 0 0 0

  9. Published New Reservoir Proved Revision Revision New Field Discoveries

    U.S. Energy Information Administration (EIA) Indexed Site

    Crude oil and lease condensate proved reserves, reserves changes, and production, 2014 million barrels Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases Decreases Sales Acquisitions Extensions Discoveries in Old Fields Production Reserves State and Subdivision 12/31/13 (+,-) (+) (-) (-) (+) (+) (+) (+) (-) 12/31/14 Alaska 2,898 1 239 196 125 187 35 0 0 182 2,857 Lower 48 States 33,622 439 5,789 5,416 2,350 2,641 4,986 164 219

  10. Published New Reservoir Proved Revision Revision New Field Discoveries

    U.S. Energy Information Administration (EIA) Indexed Site

    Crude oil proved reserves, reserves changes, and production, 2014 million barrels Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases Decreases Sales Acquisitions Extensions Discoveries in Old Fields Production Reserves State and Subdivision 12/31/13 (+,-) (+) (-) (-) (+) (+) (+) (+) (-) 12/31/14 Alaska 2,898 1 238 196 125 186 35 0 0 182 2,855 Lower 48 States 30,473 515 5,077 4,798 2,032 2,234 4,395 151 207 2,692 33,530 Alabama

  11. Published New Reservoir Proved Revision Revision New Field Discoveries

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease condensate proved reserves, reserves changes, and production, 2014 million barrels Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases Decreases Sales Acquisitions Extensions Discoveries in Old Fields Production Reserves State and Subdivision 12/31/13 (+,-) (+) (-) (-) (+) (+) (+) (+) (-) 12/31/14 Alaska 0 0 1 0 0 1 0 0 0 0 2 Lower 48 States 3,149 -76 712 618 318 407 591 13 12 326 3,546 Alabama 14 1 0 1 0 0 0 0 0 1 13

  12. New Mexico Crude Oil + Lease Condensate Reserves New Field Discoveries...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Million Barrels) New Mexico Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

  13. Michigan Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Michigan Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  14. Wyoming Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Wyoming Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  15. Ohio Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Ohio Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  16. Montana Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Montana Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  17. Oklahoma Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Oklahoma Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  18. Alabama Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Alabama Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  19. Florida Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ... Dry Natural Gas New Reservoir Discoveries in Old Fields Florida Dry Natural Gas Proved ...

  20. Colorado Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Colorado Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  1. Virginia Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Virginia Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  2. Louisiana Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Louisiana Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  3. Utah Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Utah Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  4. Alaska Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Alaska Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  5. Texas Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Texas Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  6. Kentucky Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Kentucky Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  7. Arkansas Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Arkansas Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  8. New Mexico Dry Natural Gas Reserves New Field Discoveries (Billion...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    New Field Discoveries (Billion Cubic Feet) New Mexico Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 ...

  9. New York Dry Natural Gas Reserves New Field Discoveries (Billion...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) New York Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 ...

  10. Langley Deep Field, discovery and interpretation

    SciTech Connect (OSTI)

    Henderson, G.J.; Lake, E.A.; Douglas, G.

    1984-01-01

    In May 1978, ARCO Oil and Gas Co. completed the Langley Deep Unit 1 well in Lea County, New Mexico, discovering a deep gas field with production from two horizons. The discovery well produces gas from a northwest-southeast-trending anticline that has a reverse fault at the Ellenburger formation on the northeast flank of the structure. This reverse fault, possibly persistent to the base of the Wolfcamp Formation, generated an anticlinal feature in the upthrown block at the Devonian level. The fault itself is the trap at the Ellenburger formation. Since the discovery of the Langley Deep field in 1978, a new geologic interpretation has been proposed for the eastern rim of the Delaware basin. A major conclusion, based on seismic control, the well control from this field, and on subsurface control throughout southern Lea County, New Mexico, is that a strike-slip fault was activated during the Late Pennsylvanian and Early Permian and caused deformation resulting in the formation of the Langley Deep structure.

  11. ,"New Mexico Dry Natural Gas Reserves New Field Discoveries ...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)",1,"Annual",2013...

  12. ,"Texas Dry Natural Gas Reserves New Field Discoveries (Billion...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)",1,"Annual",2013...

  13. ,"Texas Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic...

  14. Louisiana Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) New Field Discoveries (Billion Cubic Feet) Louisiana Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 772 7 16 23 17 1990's 3 68 75 5 25 63 13 11 57 44 2000's 45 27 68 12 18 6 27 0 191 257 2010's 48 47 5 17 57 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  15. Michigan Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) New Field Discoveries (Billion Cubic Feet) Michigan Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 115 47 48 1980's 33 18 16 15 30 42 65 90 96 30 1990's 39 16 7 0 0 10 76 0 6 0 2000's 15 50 8 0 0 11 1 0 4 19 2010's 2 14 7 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  16. Oklahoma Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) New Field Discoveries (Billion Cubic Feet) Oklahoma Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 181 155 197 1980's 168 412 376 53 53 94 14 11 26 91 1990's 50 10 0 25 0 23 30 2 4 0 2000's 20 13 14 6 8 1 0 6 21 0 2010's 51 47 44 2 135 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015

  17. Kentucky Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) New Field Discoveries (Billion Cubic Feet) Kentucky Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3 0 1 1980's 2 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 1 0 0 0 2000's 5 0 0 0 0 17 0 0 0 0 2010's 0 1 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  18. Mississippi Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) New Field Discoveries (Billion Cubic Feet) Mississippi Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 98 53 17 1980's 359 45 15 9 17 10 0 1 20 25 1990's 21 12 5 10 4 14 0 0 0 0 2000's 1 0 1 0 0 0 0 0 2 2 2010's 0 1 1 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release

  19. Pennsylvania Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) New Field Discoveries (Billion Cubic Feet) Pennsylvania Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1 5 60 1980's 8 48 13 3 0 0 6 0 0 0 1990's 6 0 0 0 0 0 0 0 1 0 2000's 0 33 0 21 0 0 13 7 61 128 2010's 50 165 414 36 7 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release

  20. Arkansas Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) New Field Discoveries (Billion Cubic Feet) Arkansas Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4 1 3 1980's 5 17 7 4 2 13 0 0 0 0 1990's 3 0 1 0 1 0 2 0 0 1 2000's 0 0 24 0 4 4 7 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  1. California Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) New Field Discoveries (Billion Cubic Feet) California Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 31 25 12 1980's 4 2 1 10 13 1990's 2 1 22 14 0 0 0 0 0 0 2000's 7 0 0 5 0 0 0 0 0 1 2010's 1 0 4 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  2. Colorado Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) New Field Discoveries (Billion Cubic Feet) Colorado Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 31 9 22 1980's 15 16 20 12 12 22 0 7 2 8 1990's 2 2 5 2 3 80 0 2 0 123 2000's 0 4 1 1 171 32 14 15 17 8 2010's 22 18 9 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release

  3. U.S. Shale Proved Reserves New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    Reservoir Discoveries in Old Fields (Billion Cubic Feet) U.S. Shale Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  4. U.S. Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) U.S. Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  5. New Mexico Dry Natural Gas New Reservoir Discoveries in Old Fields...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) New Mexico Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  6. New York Dry Natural Gas New Reservoir Discoveries in Old Fields...

    Gasoline and Diesel Fuel Update (EIA)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) New York Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  7. U.S. Coalbed Methane Proved Reserves New Field Discoveries (Billion...

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Coalbed Methane Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade ... Release Date: 11192015 Next Release Date: 12312016 Referring Pages: Coalbed Methane ...

  8. Discoveries

    U.S. Energy Information Administration (EIA) Indexed Site

    Changes to proved reserves of U.S. natural gas by source, 2013-14 trillion cubic feet Year-end 2013 2014 Year-end 2014 proved 2014 revisions and 2014 proved Source of natural gas reserves Discoveries other changes production reserves Coalbed methane 12.4 0.4 4.3 -1.4 15.7 Shale 159.1 37.8 16.2 -13.4 199.7 Other U.S. natural gas Lower 48 onshore 166.0 11.4 -8.4 -11.7 157.2 Lower 48 offshore 9.1 0.8 0.8 -1.3 9.4 Alaska 7.4 0.1 -0.4 -0.3 6.8 U.S. TOTAL 354.0 50.5 12.4 -28.1 388.8 Note: Lower 48

  9. U.S. Natural Gas Liquids Lease Condensate, Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) Indexed Site

    (Million Barrels) New Field Discoveries (Million Barrels) U.S. Natural Gas Liquids Lease Condensate, Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 19 2010's 36 4 2 3 13 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Lease Condensate New Field Discoveries U.S.

  10. U.S. Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    Field Discoveries (Billion Cubic Feet) U.S. Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 868 2010's 557 232 353 16 158 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  11. U.S. Crude Oil + Lease Condensate Reserves New Field Discoveries (Million

    U.S. Energy Information Administration (EIA) Indexed Site

    Barrels) New Field Discoveries (Million Barrels) U.S. Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 141 2010's 124 481 55 191 164 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discove

  12. Wyoming Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) Wyoming Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 391 332 123 1980's 130 287 85 42 27 87 17 5 9 2 1990's 4 16 6 0 17 21 0 39 7 18 2000's 8 44 15 32 8 11 2 2 1 0 2010's 1 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  13. Alabama Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) Alabama Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 40 4 13 1980's 1 5 1990's 433 35 95 0 1 0 0 0 10 0 2000's 0 42 0 0 3 0 0 0 2 0 2010's 3 2 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: New

  14. California Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion

    U.S. Energy Information Administration (EIA) Indexed Site

    Cubic Feet) New Reservoir Discoveries in Old Fields (Billion Cubic Feet) California Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 38 2 3 1980's 13 0 2 6 11 1990's 32 11 13 15 7 14 17 10 12 3 2000's 5 2 5 0 5 2 4 1 14 0 2010's 0 0 9 2 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  15. Texas Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) Texas Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 949 667 79 177 601 222 1990's 203 123 127 139 257 268 516 373 249 92 2000's 303 603 84 195 264 138 80 78 472 476 2010's 519 69 58 5 30 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release

  16. U.S. Natural Gas Plant Liquids, Reserves New Field Discoveries (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) New Field Discoveries (Million Barrels) U.S. Natural Gas Plant Liquids, Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 94 1980's 90 131 112 70 55 44 34 39 41 83 1990's 39 25 20 24 54 52 65 114 66 51 2000's 92 138 48 35 26 32 16 30 65 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  17. Estimating Motor Efficiency in the Field | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Estimating Motor Efficiency in the Field Estimating Motor Efficiency in the Field Some utility companies and public agencies offer rebates to encourage customers to upgrade their existing standard efficiency motors to premium efficiency motors. It is important to know the efficiency of the existing motor and how it is being used to accurately estimate potential annual energy and dollar savings. This tip sheet provides suggested actions and estimates of savings from improved efficiency. Motor

  18. Kansas Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion

    U.S. Energy Information Administration (EIA) Indexed Site

    Cubic Feet) New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Kansas Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 7 18 14 1980's 3 99 7 5 6 6 2 1 5 4 1990's 1 6 24 3 7 3 3 4 1 1 2000's 0 1 2 0 0 4 3 0 2 0 2010's 1 1 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  19. Kansas Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) Kansas Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 21 23 23 1980's 22 5 8 3 7 8 37 8 10 4 1990's 1 4 1 11 13 1 0 0 1 6 2000's 3 2 5 0 1 0 0 0 9 0 2010's 4 0 5 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  20. Montana Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) Montana Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4 4 5 1980's 21 6 3 6 2 2 4 0 0 1 1990's 0 0 0 0 0 0 0 0 1 0 2000's 0 1 4 0 1 0 19 0 0 0 2010's 0 7 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring

  1. Ohio Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) Ohio Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 28 0 1980's 0 2 0 0 0 0 0 0 0 0 1990's 0 1 1 1 0 0 0 0 0 0 2000's 0 0 2 0 0 5 0 0 1 0 2010's 0 0 14 17 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring

  2. Alaska Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) Alaska Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 0 15 1980's 0 0 0 0 0 0 0 12 0 0 1990's 0 0 0 0 0 0 61 0 4 56 2000's 0 74 0 20 0 22 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  3. Florida Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 0 0 1980's 0 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: New Field Discoveries of Dry Natural Gas Reserves Florida Dry Natural Gas

  4. U.S. Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) U.S. Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,173 3,860 3,188 1980's 2,539 3,731 2,687 1,574 2,536 999 1,099 1,089 1,638 1,450 1990's 2,004 848 649 899 1,894 1,666 1,451 2,681 1,074 1,568 2000's 1,983 3,578 1,332 1,222 759 942 409 796 1,170 1,372 2010's 850 947 762 256 632 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  5. Utah Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Billion Cubic Feet) Utah Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 32 84 41 1980's 9 3 11 8 3 0 0 5 3 0 1990's 0 5 0 8 1 2 17 0 0 4 2000's 0 4 0 0 5 4 45 4 64 0 2010's 0 1 0 0 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring

  6. Shongaloo field: A recent smackover (Jurassic) discovery in the Arkansas-Louisiana state-line graben

    SciTech Connect (OSTI)

    DeMis, W.D.; Milliken, J.V. )

    1993-09-01

    The new North Shongaloo/Red Rock/Haynesville/East Haynesville (herein called Shongaloo) field is a recent discovery (1988) with reserves of 20-30 MMBOE. The field has over 50 wells producing from the Smackover Formation at about 11,000 ft depth, and is the largest field discovered in the very mature Arkansas-Louisiana state-line Smackover play in the past 20 yr. More significantly, the field is locate within the state-line graben, an area considered by industry as barren of Smackover potential because Smackover reservoir rocks were assumed absent. Shongaloo field pay is from the Smackover. The [open quotes]C[close quotes] sand has average porosity of 5-7% and average permeability of less than 1 md (average initial flow rate is 1500 MCFGD with 430 BCPD). The [open quotes]B[close quotes] carbonate reservoirs consist of ooid grainstones with average porosity of 14% and average permeability of 60 md, ranging up to 1800 md (average initial flow rate is 550 BOPD and 950 MCFGD). Shongaloo field is an upthrown fault trap within the overall downthrown central graben. Shongaloo field was found by overcoming two technical hurdles. First, reservoir rock distribution was shown to follow paleoshorelines through the graben. Porous ooid grainstones facies within a mappable cycle of the Smackover [open quotes]B[close quotes] are parallel to, and immediately downdip (<1.5 mi) of paleoshorelines. Paleoshorelines are documented by the updip pinchout of [open quotes]B[close quotes] cycles into time-equivalent Buckner red beds. Second, the critical trapping fault was resolved by shooting and interpreting modern proprietary seismic data. The discovery of Shongaloo field proves that significant reserves can be found in mature domestic plays by applying new technology and stratigraphic concepts.

  7. THE DISCOVERY OF Y DWARFS USING DATA FROM THE WIDE-FIELD INFRARED SURVEY EXPLORER (WISE)

    SciTech Connect (OSTI)

    Cushing, Michael C.; Mainzer, A.; Eisenhardt, Peter R.; Kirkpatrick, J. Davy; Gelino, Christopher R.; Griffith, Roger L.; Marsh, Kenneth A.; Beichman, Charles A.; Skrutskie, Michael F.; Burgasser, Adam J.; Prato, Lisa A.; Simcoe, Robert A.; Marley, Mark S.; Freedman, Richard S.; Saumon, D.; Wright, Edward L.

    2011-12-10

    We present the discovery of seven ultracool brown dwarfs identified with the Wide-field Infrared Survey Explorer (WISE). Near-infrared spectroscopy reveals deep absorption bands of H{sub 2}O and CH{sub 4} that indicate all seven of the brown dwarfs have spectral types later than UGPS J072227.51-054031.2, the latest-type T dwarf currently known. The spectrum of WISEP J182831.08+265037.8 is distinct in that the heights of the J- and H-band peaks are approximately equal in units of f{sub {lambda}}, so we identify it as the archetypal member of the Y spectral class. The spectra of at least two of the other brown dwarfs exhibit absorption on the blue wing of the H-band peak that we tentatively ascribe to NH{sub 3}. These spectral morphological changes provide a clear transition between the T dwarfs and the Y dwarfs. In order to produce a smooth near-infrared spectral sequence across the T/Y dwarf transition, we have reclassified UGPS 0722-05 as the T9 spectral standard and tentatively assign WISEP J173835.52+273258.9 as the Y0 spectral standard. In total, six of the seven new brown dwarfs are classified as Y dwarfs: four are classified as Y0, one is classified as Y0 (pec?), and WISEP J1828+2650 is classified as >Y0. We have also compared the spectra to the model atmospheres of Marley and Saumon and infer that the brown dwarfs have effective temperatures ranging from 300 K to 500 K, making them the coldest spectroscopically confirmed brown dwarfs known to date.

  8. Serendipitous discovery of a dwarf Nova in the Kepler field near the G dwarf KIC 5438845

    SciTech Connect (OSTI)

    Brown, Alexander; Ayres, Thomas R.; Neff, James E.; Wells, Mark A.; Kowalski, Adam; Berdyugina, Svetlana; Harper, Graham M.; Korhonen, Heidi; Piskunov, Nikolai; Saar, Steven; Walkowicz, Lucianne

    2015-02-01

    The Kepler satellite provides a unique window into stellar temporal variability by observing a wide variety of stars with multi-year, near-continuous, high precision, optical photometric time series. While most Kepler targets are faint stars with poorly known physical properties, many unexpected discoveries should result from a long photometric survey of such a large area of sky. During our Kepler Guest Observer programs that monitored late-type stars for starspot and flaring variability, we discovered a previously unknown dwarf nova that lies within a few arcseconds of the mid-G dwarf star KIC 5438845. This dwarf nova underwent nine outbursts over a 4 year time span. The two largest outbursts lasted ?1718 days and show strong modulations with a 110.8 minute period and a declining amplitude during the outburst decay phase. These properties are characteristic of an SU UMa-type cataclysmic variable. By analogy with other dwarf nova light curves, we associate the 110.8 minute (1.847 hr) period with the superhump period, close to but slightly longer than the orbital period of the binary. No precursor outbursts are seen before the super-outbursts and the overall super-outburst morphology corresponds to Osaki and Meyer Case B outbursts, which are initiated when the outer edge of the disk reaches the tidal truncation radius. Case B outbursts are rare within the Kepler light curves of dwarf novae. The dwarf nova is undergoing relatively slow mass transfer, as evidenced by the long intervals between outbursts, but the mass transfer rate appears to be steady, because the smaller normal outbursts show a strong correlation between the integrated outburst energy and the elapsed time since the previous outburst. At super-outburst maximum the system was at V ? 18, but in quiescence it is fainter than V ? 22, which will make any detailed quiescent follow-up of this system difficult.

  9. Pampo, Linguado, and Badejo Fields: Their discoveries, appraisals, and early production systems

    SciTech Connect (OSTI)

    Tigre, C.A.; Possato, S.

    1983-05-01

    The three oil fields Pampo, Linguado and Badejo are located in the southwesternmost known producing areas of the offshore Brazilian Campos Basin. They were discovered as a result of reflection seismic survey and produce from fractured lower Cretaceous (Neocomian) basalts, coquinas of the Aptian Lagoa Feia Formation, carbonates of the Albian Macae Formation and from Eocene sandstones of the Carapebus Member of the Campos Formation. This work describes the prospects, their results, the main reservoirs, correlations, continuity and diagenetic problems. Two early production systems are in operation engaged in gathering a better knowledge of the fields for the planning of a definitive production system.

  10. Estimating of pulsed electric fields using optical measurements.

    SciTech Connect (OSTI)

    Flanagan, Timothy McGuire; Chantler, Gary R.

    2013-09-01

    We performed optical electric field measurements ion nanosecond time scales using the electrooptic crystal beta barium borate (BBO). Tests were based on a preliminary bench top design intended to be a proofofprinciple stepping stone towards a modulardesign optical Efield diagnostic that has no metal in the interrogated environment. The long term goal is to field a modular version of the diagnostic in experiments on large scale xray source facilities, or similarly harsh environments.

  11. SOURCE IDENTIFICATION IN THE IGR J17448-3232 FIELD: DISCOVERY OF THE SCORPIUS GALAXY CLUSTER

    SciTech Connect (OSTI)

    Barrière, Nicolas M.; Tomsick, John A.; Wik, Daniel R.; Chaty, Sylvain; Rodriguez, Jérome

    2015-01-20

    We use a 43 ks XMM-Newton observation to investigate the nature of sources first distinguished by a follow-up Chandra observation of the field surrounding INTEGRAL source IGR J17448-3232, which includes extended emission and a bright point source previously classified as a blazar. We establish that the extended emission is a heretofore unknown massive galaxy cluster hidden behind the Galactic bulge. The emission-weighted temperature of the cluster within the field of view is 8.8 keV, with parts of the cluster reaching temperatures of up to 12 keV; no cool core is evident. At a redshift of 0.055, the cluster is somewhat under-luminous relative to the X-ray luminosity-temperature relation, which may be attributable to its dynamical state. We present a preliminary analysis of its properties in this paper. We also confirm that the bright point source is a blazar, and we propose that it is either a flat spectrum radio quasar or a low-frequency peaked BL Lac object. We find four other fainter sources in the field, which we study and tentatively identify. Only one, which we propose is a foreground Galactic X-ray binary, is hard enough to contribute to IGR J17448-3232, but it is too faint to be significant. We thus determine that IGR J17448-3232 is in fact the galaxy cluster up to ≈45 keV and the blazar beyond.

  12. DISCOVERY OF AN ULTRA-FAINT DWARF GALAXY IN THE INTRACLUSTER FIELD OF THE VIRGO CENTER: A FOSSIL OF THE FIRST GALAXIES?

    SciTech Connect (OSTI)

    Jang, In Sung; Lee, Myung Gyoon E-mail: mglee@astro.snu.ac.kr

    2014-11-01

    Ultra-faint dwarf galaxies (UFDs) are newcomers among galaxies, and are the faintest galaxies in the observed universe. To date, they have only been found around the Milky Way Galaxy and M31 in the Local Group. We present the discovery of a UFD in the intracluster field in the core of the Virgo cluster (Virgo UFD1), which is far from any massive galaxies. The color-magnitude diagram of the resolved stars in this galaxy shows a narrow red giant branch, similar to those of metal-poor globular clusters in the Milky Way. We estimate its distance by comparing the red giant branch with isochrones, and we obtain a value 16.4 ± 0.4 Mpc. This shows that it is indeed a member of the Virgo cluster. From the color of the red giants we estimate its mean metallicity to be very low, [Fe/H] =–2.4 ± 0.4. Its absolute V-band magnitude and effective radius are derived to be M{sub V} = –6.5 ± 0.2 and r {sub eff} = 81 ± 7 pc, much fainter and smaller than the classical dwarf spheroidal galaxies. Its central surface brightness is estimated to be as low as μ {sub V,} {sub 0} = 26.37 ± 0.05 mag arcsec{sup –2}. Its properties are similar to those of the Local Group analogs. No evidence of tidal features are found in this galaxy. Considering its narrow red giant branch with no asymptotic giant branch stars, low metallicity, and location, it may be a fossil remnant of the first galaxies.

  13. DISCOVERY OF A METER-WAVELENGTH RADIO TRANSIENT IN THE SWIRE DEEP FIELD: 1046+59

    SciTech Connect (OSTI)

    Jaeger, T. R.; Kassim, N. E.; Hyman, S. D.; Lazio, T. J. W.

    2012-04-15

    We report the results of a low frequency radio variability and slow transient search using archival observations from the Very Long Array. We selected six 325 MHz radio observations from the spring of 2006, each centered on the Spitzer-Space-Telescope Wide-area Infrared Extragalactic Survey (SWIRE) Deep Field: 1046+59. Observations were spaced between one day to three months, with a typical single-epoch peak flux sensitivity below 0.2 mJy beam{sup -1} near the field pointing center. We describe the observation parameters, data post-processing, and search methodology used to identify variable and transient emission. Our search revealed multiple variable sources and the presence of one, day-scale transient event with no apparent astronomical counterpart. This detection implies a transient rate of 1 {+-} 1 event per 6.5 deg{sup 2} per 72 observing hours in the direction of 1046+59 and an isotropic transient surface density {Sigma} = 0.12 deg{sup -2}at 95% confidence for sources with average peak flux density higher than 2.1 mJy over 12 hr.

  14. Force Field Parameter Estimation of Functional Perfluoropolyether Lubricants

    SciTech Connect (OSTI)

    Smith, R.; Chung, P.S.; Steckel, J; Jhon, M.S.; Biegler, L.T.

    2011-01-01

    The head disk interface in a hard disk drive can be considered to be one of the hierarchical multiscale systems, which require the hybridization of multiscale modeling methods with coarse-graining procedure. However, the fundamental force field parameters are required to enable the coarse-graining procedure from atomistic/molecular scale to mesoscale models. In this paper, we investigate beyond molecular level and perform ab initio calculations to obtain the force field parameters. Intramolecular force field parameters for Zdol and Ztetraol were evaluated with truncated PFPE molecules to allow for feasible quantum calculations while still maintaining the characteristic chemical structure of the end groups. Using the harmonic approximation to the bond and angle potentials, the parameters were derived from the Hessian matrix, and the dihedral force constants are fit to the torsional energy profiles generated by a series of constrained molecular geometry optimization.

  15. Force Field Parameter Estimation of Functional Perfluoropolyether Lubricants

    SciTech Connect (OSTI)

    Smith, R.; Chung, P.S.; Steckel, J; Jhon, M.S.; Biegler, L.T.

    2011-01-01

    The head disk interface in hard disk drive can be considered one of the hierarchical multiscale systems, which require the hybridization of multiscale modeling methods with coarse-graining procedure. However, the fundamental force field parameters are required to enable the coarse-graining procedure from atomistic/molecular scale to mesoscale models .In this paper, we investigate beyond molecular level and perform ab-initio calculations to obtain the force field parameters. Intramolecular force field parameters for the Zdol and Ztetraol were evaluated with truncated PFPE molecules to allow for feasible quantum calculations while still maintaining the characteristic chemical structure of the end groups. Using the harmonic approximation to the bond and angle potentials, the parameters were derived from the Hessian matrix, and the dihedral force constants are fit to the torsional energy profiles generated by a series of constrained molecular geometry optimization.

  16. Development of a Geothermal Well Database for Estimating In-Field EGS

    Office of Scientific and Technical Information (OSTI)

    Potential in the State of Nevada (Conference) | SciTech Connect Development of a Geothermal Well Database for Estimating In-Field EGS Potential in the State of Nevada Citation Details In-Document Search Title: Development of a Geothermal Well Database for Estimating In-Field EGS Potential in the State of Nevada Authors: Hanson, Hillary ; Wood, Rachel ; Augustine, Chad ; Mines, Greg ; Lopez, Anthony ; Hettinger, Dylan Publication Date: 2014-10-01 OSTI Identifier: 1214999 Report Number(s):

  17. A sparse reconstruction method for the estimation of multiresolution emission fields via atmospheric inversion

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Ray, J.; Lee, J.; Yadav, V.; Lefantzi, S.; Michalak, A. M.; van Bloemen Waanders, B.

    2014-08-20

    We present a sparse reconstruction scheme that can also be used to ensure non-negativity when fitting wavelet-based random field models to limited observations in non-rectangular geometries. The method is relevant when multiresolution fields are estimated using linear inverse problems. Examples include the estimation of emission fields for many anthropogenic pollutants using atmospheric inversion or hydraulic conductivity in aquifers from flow measurements. The scheme is based on three new developments. Firstly, we extend an existing sparse reconstruction method, Stagewise Orthogonal Matching Pursuit (StOMP), to incorporate prior information on the target field. Secondly, we develop an iterative method that uses StOMP tomore » impose non-negativity on the estimated field. Finally, we devise a method, based on compressive sensing, to limit the estimated field within an irregularly shaped domain. We demonstrate the method on the estimation of fossil-fuel CO2 (ffCO2) emissions in the lower 48 states of the US. The application uses a recently developed multiresolution random field model and synthetic observations of ffCO2 concentrations from a limited set of measurement sites. We find that our method for limiting the estimated field within an irregularly shaped region is about a factor of 10 faster than conventional approaches. It also reduces the overall computational cost by a factor of two. Further, the sparse reconstruction scheme imposes non-negativity without introducing strong nonlinearities, such as those introduced by employing log-transformed fields, and thus reaps the benefits of simplicity and computational speed that are characteristic of linear inverse problems.« less

  18. A sparse reconstruction method for the estimation of multi-resolution emission fields via atmospheric inversion

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Ray, J.; Lee, J.; Yadav, V.; Lefantzi, S.; Michalak, A. M.; van Bloemen Waanders, B.

    2015-04-29

    Atmospheric inversions are frequently used to estimate fluxes of atmospheric greenhouse gases (e.g., biospheric CO2 flux fields) at Earth's surface. These inversions typically assume that flux departures from a prior model are spatially smoothly varying, which are then modeled using a multi-variate Gaussian. When the field being estimated is spatially rough, multi-variate Gaussian models are difficult to construct and a wavelet-based field model may be more suitable. Unfortunately, such models are very high dimensional and are most conveniently used when the estimation method can simultaneously perform data-driven model simplification (removal of model parameters that cannot be reliably estimated) and fitting.more » Such sparse reconstruction methods are typically not used in atmospheric inversions. In this work, we devise a sparse reconstruction method, and illustrate it in an idealized atmospheric inversion problem for the estimation of fossil fuel CO2 (ffCO2) emissions in the lower 48 states of the USA. Our new method is based on stagewise orthogonal matching pursuit (StOMP), a method used to reconstruct compressively sensed images. Our adaptations bestow three properties to the sparse reconstruction procedure which are useful in atmospheric inversions. We have modified StOMP to incorporate prior information on the emission field being estimated and to enforce non-negativity on the estimated field. Finally, though based on wavelets, our method allows for the estimation of fields in non-rectangular geometries, e.g., emission fields inside geographical and political boundaries. Our idealized inversions use a recently developed multi-resolution (i.e., wavelet-based) random field model developed for ffCO2 emissions and synthetic observations of ffCO2 concentrations from a limited set of measurement sites. We find that our method for limiting the estimated field within an irregularly shaped region is about a factor of 10 faster than conventional approaches. It also

  19. North Dakota Dry Natural Gas New Reservoir Discoveries in Old...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) North Dakota Dry Natural Gas ... Dry Natural Gas New Reservoir Discoveries in Old Fields North Dakota Dry Natural Gas ...

  20. Cost estimates for the Uranium-in-Soils Integrated Demonstration field screening technologies

    SciTech Connect (OSTI)

    Douthat, D.M.; Armstrong, A.Q.; Ladd, B.

    1993-09-01

    The objective of this document is to describe the work conducted by the ORNL Performance Assessment Group members responsible for developing the cost analysis reports for the uranium-in-soils Integrated Demonstration (ID). The following information is provided in this report: (1) an explanation of the cost input questionnaires, which were sent to the developers of the field screening technologies and used by the cost estimator to acquire information and develop the cost estimates, (2) a description of the computer software package chosen to create the cost estimates, as well as why it was chosen, (3) a description of how the Uranium-in-Soils ID project is broken down structurally in terms of a work breakdown structure (WBS) for the cost estimates, (4) an explanation of the assumptions made by the cost estimator in developing the cost estimates, (5) a summary of the expected costs for each field screening technology, and (6) an explanation of how the cost analysis reports for a scenario evaluation (provided in the cost input questionnaires) were derived, as well as a summary of the scenario evaluation costs for each technology.

  1. The Greatest Mathematical Discovery?

    SciTech Connect (OSTI)

    Bailey, David H.; Borwein, Jonathan M.

    2010-05-12

    What mathematical discovery more than 1500 years ago: (1) Is one of the greatest, if not the greatest, single discovery in the field of mathematics? (2) Involved three subtle ideas that eluded the greatest minds of antiquity, even geniuses such as Archimedes? (3) Was fiercely resisted in Europe for hundreds of years after its discovery? (4) Even today, in historical treatments of mathematics, is often dismissed with scant mention, or else is ascribed to the wrong source? Answer: Our modern system of positional decimal notation with zero, together with the basic arithmetic computational schemes, which were discovered in India about 500 CE.

  2. Determining effective soil formation thermal properties from field data using a parameter estimation technique

    SciTech Connect (OSTI)

    Shonder, J.A.; Beck, J.V.

    1998-11-01

    A one-dimensional thermal model is derived to describe the temperature field around a vertical borehole heat exchanger (BHEx) for a geothermal heat pump. The inlet and outlet pipe flows are modeled as one, and an effective heat capacity is added to model the heat storage in the fluid and pipes. Parameter estimation techniques are then used to estimate various parameters associated with the model, including the thermal conductivity of the soil and of the grout which fills the borehole and surrounds the u-tube. The model is validated using test data from an experimental rig containing sand with known thermal conductivity. The estimates of the sand thermal conductivity derived from the model are found to be in good agreement with independent measurements.

  3. Determining Effective Soil Formation Thermal Properties From Field Data Using A Parameter Estimation Technique

    SciTech Connect (OSTI)

    Shonder, John A; Beck, Dr. James V.

    1999-01-01

    A one-dimensional thermal model is derived to describe the temperature field around a vertical borehole heat exchanger (BHEX) for a geothermal heat pump. The inlet and outlet pipe flows are modeled as one, and an effective heat capacity is added to model the heat storage in the fluid and pipes. Parameter estimation techniques are then used to estimate various parameters associated with the model, including the thermal conductivity of the soil and the grout that fills the borehole and surrounds the U-tube. The model is validated using test data from an experimental rig containing sand with known thermal conductivity. The estimates of the sand's thermal conductivity derived from the model are found to be in good agreement with independent measurements.

  4. Estimated human health risks of disposing of nonhazardous oil field waste in salt caverns

    SciTech Connect (OSTI)

    Tomasko, D.; Elcock, D.; Veil, J.

    1997-09-01

    Argonne National Laboratory (ANL) has completed an evaluation of the possibility that adverse human health effects (carcinogenic and noncarcinogenic) could result from exposure to contaminants released from nonhazardous oil field wastes (NOW) disposed in domal salt caverns. In this assessment, several steps were used to evaluate potential human health risks: identifying potential contaminants of concern, determining how humans could be exposed to these contaminants, assessing the contaminants` toxicities, estimating contaminant intakes, and, finally, calculating human cancer and noncancer risks.

  5. Develpment of a low Cost Method to Estimate the Seismic Signiture of a Geothemal Field from Ambient Seismic Noise Analysis

    Broader source: Energy.gov [DOE]

    Develpment of a low Cost Method to Estimate the Seismic Signiture of a Geothemal Field from Ambient Seismic Noise Analysis presentation at the April 2013 peer review meeting held in Denver, Colorado.

  6. sparse-msrf:A package for sparse modeling and estimation of fossil-fuel CO2 emission fields

    SciTech Connect (OSTI)

    2014-10-06

    The software is used to fit models of emission fields (e.g., fossil-fuel CO2 emissions) to sparse measurements of gaseous concentrations. Its primary aim is to provide an implementation and a demonstration for the algorithms and models developed in J. Ray, V. Yadav, A. M. Michalak, B. van Bloemen Waanders and S. A. McKenna, "A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions", accepted, Geoscientific Model Development, 2014. The software can be used to estimate emissions of non-reactive gases such as fossil-fuel CO2, methane etc. The software uses a proxy of the emission field being estimated (e.g., for fossil-fuel CO2, a population density map is a good proxy) to construct a wavelet model for the emission field. It then uses a shrinkage regression algorithm called Stagewise Orthogonal Matching Pursuit (StOMP) to fit the wavelet model to concentration measurements, using an atmospheric transport model to relate emission and concentration fields. Algorithmic novelties described in the paper above (1) ensure that the estimated emission fields are non-negative, (2) allow the use of guesses for emission fields to accelerate the estimation processes and (3) ensure that under/overestimates in the guesses do not skew the estimation.

  7. sparse-msrf:A package for sparse modeling and estimation of fossil-fuel CO2 emission fields

    Energy Science and Technology Software Center (OSTI)

    2014-10-06

    The software is used to fit models of emission fields (e.g., fossil-fuel CO2 emissions) to sparse measurements of gaseous concentrations. Its primary aim is to provide an implementation and a demonstration for the algorithms and models developed in J. Ray, V. Yadav, A. M. Michalak, B. van Bloemen Waanders and S. A. McKenna, "A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions", accepted, Geoscientific Model Development, 2014. The softwaremore » can be used to estimate emissions of non-reactive gases such as fossil-fuel CO2, methane etc. The software uses a proxy of the emission field being estimated (e.g., for fossil-fuel CO2, a population density map is a good proxy) to construct a wavelet model for the emission field. It then uses a shrinkage regression algorithm called Stagewise Orthogonal Matching Pursuit (StOMP) to fit the wavelet model to concentration measurements, using an atmospheric transport model to relate emission and concentration fields. Algorithmic novelties described in the paper above (1) ensure that the estimated emission fields are non-negative, (2) allow the use of guesses for emission fields to accelerate the estimation processes and (3) ensure that under/overestimates in the guesses do not skew the estimation.« less

  8. Discovery in Action - Pacific Northwest National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Discovery in Action Discovery in Action

  9. Discovery Science

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    universe Discovery Science Since the beginning of civilization, humans have marveled at the night sky and pondered the vast stretches of the universe. The invention of telescopes in the 17th century revealed the first details of the Moon and the planets in our solar system. Four hundred years later, space-based observatories such as NASA's Hubble and Kepler regularly capture amazing vistas of billions of galaxies millions of light years away. Despite these advances, astronomers have only been

  10. Estimate of the risks of disposing nonhazardous oil field wastes into salt caverns

    SciTech Connect (OSTI)

    Tomasko, D.; Elcock, D.; Veil, J.

    1997-12-31

    Argonne National Laboratory (ANL) has completed an evaluation of the possibility that adverse human health effects (carcinogenic and noncarcinogenic) could result from exposure to contaminants released from nonhazardous oil field wastes (NOW) disposed in domal salt caverns. Potential human health risks associated with hazardous substances (arsenic, benzene, cadmium, and chromium) in NOW were assessed under four postclosure cavern release scenarios: inadvertent cavern intrusion, failure of the cavern seal, failure of the cavern through cracks or leaky interbeds, and a partial collapse of the cavern roof. To estimate potential human health risks for these scenarios, contaminant concentrations at the receptor were calculated using a one-dimensional solution to an advection/dispersion equation that included first order degradation. Assuming a single, generic salt cavern and generic oil-field wastes, the best-estimate excess cancer risks ranged from 1.7 {times} 10{sup {minus}12} to 1.1 {times} 10{sup {minus}8} and hazard indices (referring to noncancer health effects) ranged from 7 {times} 10{sup {minus}9} to 7 {times} 10{sup {minus}4}. Under worse-case conditions in which the probability of cavern failure is 1.0, excess cancer risks ranged from 4.9 {times} 10{sup {minus}9} to 1.7 {times} 10{sup {minus}5} and hazard indices ranged from 7.0 {times} 10{sup {minus}4} to 0.07. Even under worst-case conditions, the risks are within the US Environmental Protection Agency (EPA) target range for acceptable exposure levels. From a human health risk perspective, salt caverns can, therefore, provide an acceptable disposal method for NOW.

  11. Mississippi Dry Natural Gas New Reservoir Discoveries in Old...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Mississippi Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  12. West Virginia Dry Natural Gas New Reservoir Discoveries in Old...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) West Virginia Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  13. Pennsylvania Dry Natural Gas New Reservoir Discoveries in Old...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Pennsylvania Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  14. Lease Condensate New Field Discoveries

    U.S. Energy Information Administration (EIA) Indexed Site

    9 36 4 2 3 13 2009-2014 Federal Offshore U.S. 9 2 2 0 2 8 2009-2014 Pacific (California) 0 0 0 0 0 0 2009-2014 Gulf of Mexico (Louisiana & Alabama) 0 2 2 0 2 8 2009-2014 Gulf of...

  15. Approaches to efficiently estimate solvation and explicit water energetics in ligand binding: the use of WaterMap [WaterMap and Its Implementation in Drug Discovery

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Yang, Yue; Wong, Sergio E.; Lightstone, Felice C.

    2012-09-08

    Solvents play quite an important role in most chemical and biological processes. It is widely accepted that the presence of water or other solvents in many chemical reactions can result in much lower energy barrier. In enzymatic catalysis, water mediated reaction pathways have been observed in various studies. In addition, different conformation flexibility and hydrogen bond patterns have been discovered for cyclic peptides in the presence of membrane and water, further illustrating the impact of solvent in biological activities such like membrane penetration. moreover, as will be discussed later in this review, water also plays a critical role in host-guestmore » chemistry and thus is essential to drug design. As such, it is not surprising that accounting for solvents is critical in drug discovery since drugs must modulate biological systems.« less

  16. Approaches to efficiently estimate solvation and explicit water energetics in ligand binding: the use of WaterMap [WaterMap and Its Implementation in Drug Discovery

    SciTech Connect (OSTI)

    Yang, Yue; Wong, Sergio E.; Lightstone, Felice C.

    2012-09-08

    Solvents play quite an important role in most chemical and biological processes. It is widely accepted that the presence of water or other solvents in many chemical reactions can result in much lower energy barrier. In enzymatic catalysis, water mediated reaction pathways have been observed in various studies. In addition, different conformation flexibility and hydrogen bond patterns have been discovered for cyclic peptides in the presence of membrane and water, further illustrating the impact of solvent in biological activities such like membrane penetration. moreover, as will be discussed later in this review, water also plays a critical role in host-guest chemistry and thus is essential to drug design. As such, it is not surprising that accounting for solvents is critical in drug discovery since drugs must modulate biological systems.

  17. Estimation of field-scale soil hydraulic and dielectric parametersthrough joint inversion of GPR and hydrological data

    SciTech Connect (OSTI)

    Kowalsky, Michael B.; Finsterle, Stefan; Peterson, John; Hubbard,Susan; Rubin, Yoram; Majer, Ernest; Ward, Andy; Gee, Glendon

    2005-05-05

    A method is described for jointly using time-lapse multiple-offset cross-borehole ground-penetrating radar (GPR) travel time measurements and hydrological measurements to estimate field-scale soil hydraulic parameters and parameters of the petrophysical function, which relates soil porosity and water saturation to the effective dielectric constant. We build upon previous work to take advantage of a wide range of GPR data acquisition configurations and to accommodate uncertainty in the petrophysical function. Within the context of water injection experiments in the vadose zone, we test our inversion methodology with synthetic examples and apply it to field data. The synthetic examples show that while realistic errors in the petrophysical function cause substantial errors in the soil hydraulic parameter estimates,simultaneously estimating petrophysical parameters allows for these errors to be minimized. Additionally, we observe in some cases that inaccuracy in the GPR simulator causes systematic error in simulated travel times, making necessary the simultaneous estimation of a correction parameter. We also apply the method to a three-dimensional field setting using time-lapse GPR and neutron probe (NP) data sets collected during an infiltration experiment at the U.S. Department of Energy (DOE) Hanford site in Washington. We find that inclusion of GPR data in the inversion procedure allows for improved predictions of water content, compared to predictions made using NP data alone.

  18. Estimation of constitutive parameters for the Belridge Diatomite, South Belridge Diatomite Field

    SciTech Connect (OSTI)

    Fossum, A.F.; Fredrich, J.T.

    1998-06-01

    A cooperative national laboratory/industry research program was initiated in 1994 that improved understanding of the geomechanical processes causing well casing damage during oil production from weak, compactible formations. The program focused on the shallow diatomaceous oil reservoirs located in California`s San Joaquin Valley, and combined analyses of historical field data, experimental determination of rock mechanical behavior, and geomechanical simulation of the reservoir and overburden response to production and injection. Sandia National Laboratories` quasi-static, large-deformation structural mechanics finite element code JAS3D was used to perform the three-dimensional geomechanical simulations. One of the material models implemented in JAS3D to simulate the time-independent inelastic (non-linear) deformation of geomaterials is a generalized version of the Sandler and Rubin cap plasticity model (Sandler and Rubin, 1979). This report documents the experimental rock mechanics data and material cap plasticity models that were derived to describe the Belridge Diatomite reservoir rock at the South Belridge Diatomite Field, Section 33.

  19. Estimating Field-Scale Hydraulic Parameters of Heterogeneous Soils Using A Combination of Parameter Scaling and Inverse Methods

    SciTech Connect (OSTI)

    Zhang, Z. F.; Ward, Andy L.; Gee, Glendon W.

    2002-12-10

    As the Hanford Site transitions into remediation of contaminated soil waste sites and tank farm closure, more information is needed about the transport of contaminants as they move through the vadose zone to the underlying water table. The hydraulic properties must be characterized for accurate simulation of flow and transport. This characterization includes the determination of soil texture types, their three-dimensional distribution, and the parameterization of each soil texture. This document describes a method to estimate the soil hydraulic parameter using the parameter scaling concept (Zhang et al. 2002) and inverse techniques. To this end, the Groundwater Protection Program Science and Technology Project funded vadose zone transport field studies, including analysis of the results to estimate field-scale hydraulic parameters for modeling. Parameter scaling is a new method to scale hydraulic parameters. The method relates the hydraulic-parameter values measured at different spatial scales for different soil textures. Parameter scaling factors relevant to a reference texture are determined using these local-scale parameter values, e.g., those measured in the lab using small soil cores. After parameter scaling is applied, the total number of unknown variables in hydraulic parameters is reduced by a factor equal to the number of soil textures. The field-scale values of the unknown variables can then be estimated using inverse techniques and a well-designed field experiment. Finally, parameters for individual textures are obtained through inverse scaling of the reference values using an a priori relationship between reference parameter values and the specific values for each texture. Inverse methods have the benefits of 1) calculating parameter values that produce the best-fit between observed and simulated values, 2) quantifying the confidence limits in parameter estimates and the predictions, 3) providing diagnostic statistics that quantify the quality of

  20. Seismic estimation of porosity in the Permian San Andres carbonate reservoir, Welch Field, Dawson, County, Texas

    SciTech Connect (OSTI)

    Watts, G.P.; Hinterlong, G.D. )

    1996-01-01

    OXY and the DOE Are partners in a advanced technology demonstration project at OXY's West Welch Unit. Production is from a low permeability San Andres reservoir of Permian age similar to many shallow shelf carbonate reservoirs in the Permian Basin. The project involves the construction of a detailed geological model for numerical simulation to design and then conduct a CO[sub 2] flood of the reservoir. Depositional textures of the reservoir rock are highly variable from diagenesis, mostly anhydritic cementing, creating a highly complex pore system. Identification of the interwell reservoir continuity and flow units present the greatest challenge to the reservoir description. A 1993 vintage 3-D seismic survey with a bin spacing of 110[prime] by 165[prime] has been used to assist with the interwell reservoir description. The structure definition at the top and base of the reservoir have been accurately mapped with respect to the well data. Core and well log measurements of porosity, permeability and water saturation were computed and summed across the seismic reservoir interval. Measurements of amplitude, frequency and phase within the 3-D volume were summed across the reservoir interval. All seismic attributes were sampled to the wells and compared through scatterplots to the well log and core measurements. Excellent correlation between three seismic attributes and porosity has been documented. A deterministic method has been used to estimate porosity values at each seismic bin location. The method uses the seismic measurements to shape the geology between the wells while maintaining agreement with the well data at the well locations.

  1. Seismic estimation of porosity in the Permian San Andres carbonate reservoir, Welch Field, Dawson, County, Texas

    SciTech Connect (OSTI)

    Watts, G.P.; Hinterlong, G.D.

    1996-12-31

    OXY and the DOE Are partners in a advanced technology demonstration project at OXY`s West Welch Unit. Production is from a low permeability San Andres reservoir of Permian age similar to many shallow shelf carbonate reservoirs in the Permian Basin. The project involves the construction of a detailed geological model for numerical simulation to design and then conduct a CO{sub 2} flood of the reservoir. Depositional textures of the reservoir rock are highly variable from diagenesis, mostly anhydritic cementing, creating a highly complex pore system. Identification of the interwell reservoir continuity and flow units present the greatest challenge to the reservoir description. A 1993 vintage 3-D seismic survey with a bin spacing of 110{prime} by 165{prime} has been used to assist with the interwell reservoir description. The structure definition at the top and base of the reservoir have been accurately mapped with respect to the well data. Core and well log measurements of porosity, permeability and water saturation were computed and summed across the seismic reservoir interval. Measurements of amplitude, frequency and phase within the 3-D volume were summed across the reservoir interval. All seismic attributes were sampled to the wells and compared through scatterplots to the well log and core measurements. Excellent correlation between three seismic attributes and porosity has been documented. A deterministic method has been used to estimate porosity values at each seismic bin location. The method uses the seismic measurements to shape the geology between the wells while maintaining agreement with the well data at the well locations.

  2. ,"New Mexico Dry Natural Gas New Reservoir Discoveries in Old...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic...

  3. U.S. Coalbed Methane Proved Reserves New Reservoir Discoveries...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) U.S. Coalbed Methane Proved ... Release Date: 11192015 Next Release Date: 12312016 Referring Pages: Coalbed Methane ...

  4. field

    National Nuclear Security Administration (NNSA)

    09%2A en Ten-Year Site Plans (TYSP) http:www.nnsa.energy.govaboutusouroperationsinfopsinfopstysp

    field field-type-text field-field-page-name">
  5. field

    National Nuclear Security Administration (NNSA)

    09%2A en Ten-Year Site Plans (TYSP) http:nnsa.energy.govaboutusouroperationsinfopsinfopstysp

    field field-type-text field-field-page-name">
  6. U.S. Crude Oil + Lease Condensate New Reservoir Discoveries in...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Reservoir Discoveries in Old Fields (Million Barrels) U.S. Crude Oil + Lease Condensate New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 ...

  7. Decades of Discovery

    DOE R&D Accomplishments [OSTI]

    2011-06-01

    For the past two-and-a-half decades, the Office of Science at the U.S. Department of Energy has been at the forefront of scientific discovery. Over 100 important discoveries supported by the Office of Science are represented in this document.

  8. Development of a Geothermal Well Database for Estimating In-Field EGS Potential in the State of Nevada

    SciTech Connect (OSTI)

    Hillary Hanson; Greg Mines

    2001-09-01

    well database will be used to help estimate the in-field EGS resource potential in future work. Additionally, it is envisioned that the completed database can be queried to report useful information such as the ratio of injection-to-production wells at hydrothermal sites, or on the ratio of successful geothermal wells to dry wells.

  9. BNL Discovery to Deployment

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Discovery to Deployment: Chemistry for Sustainable Energy Alex Harris Chair, BNL Chemistry Department State Energy Advisory Board October 10, 2012 Topics  BNL Energy Research in Sustainable Chemical Conversion  Fuel Cell Electrocatalysis: Discovery to Deployment 2 Brookhaven Mission, Part I: "Advance photon sciences, energy, and environment-related research and apply them to 21 st Century problems of critical importance to the Nation." Brookhaven Energy R&D Basic Research,

  10. Natural Gas Liquids New Field Discoveries

    Gasoline and Diesel Fuel Update (EIA)

    35 26 32 16 30 65 1979-2008 Federal Offshore U.S. 25 7 21 6 24 22 1981-2008 Pacific (California) 0 0 0 0 0 0 1979-2008 Gulf of Mexico (Louisiana & Alabama) 25 7 21 6 13 22 1981-2008 Gulf of Mexico (Texas) 0 0 0 0 11 0 1981-2008 Alaska 0 0 0 0 0 0 1979-2008 Lower 48 States 35 26 32 16 30 65 1979-2008 Alabama 0 0 0 0 0 0 1979-2008 Arkansas 0 0 0 0 0 0 1979-2008 California 0 0 0 0 0 0 1979-2008 Coastal Region Onshore 0 0 0 0 0 0 1979-2008 Los Angeles Basin Onshore 0 0 0 0 0 0 1979-2008 San

  11. Discovery of Charm

    DOE R&D Accomplishments [OSTI]

    Goldhaber, G.

    1984-11-01

    In my talk I will cover the period 1973 to 1976 which saw the discoveries of the J/psi and psi' resonances and most of the Psion spectroscopy, the tau lepton and the D0030099,D0015599 charmed meson doublet. Occasionally I will refer briefly to more recent results. Since this conference is on the history of the weak-interactions I will deal primarily with the properties of naked charm and in particular the weakly decaying doublet of charmed mesons. Most of the discoveries I will mention were made with the SLAC-LBL Magnetic Detector or MARK I which we operated at SPEAR from 1973 to 1976.

  12. Oil discoveries and basin resource prediction in Latin America: Past, present, and future

    SciTech Connect (OSTI)

    Kronman, G.E.; Aleman, A.M.; Rushworth, S.W. )

    1993-02-01

    Over 350 oil discoveries were made in Latin America during the 1980s. About 12% are estimated to contain reserves greater than 100 MMBO. Several of the larger finds (>500 MMBO), such as Cusiana (Colombia), Furrial/Musipan (Venezuela), Cano Lima (Colombia) and Marlim (Brazil) represent an important part of the giant field found worldwide since 1980. Most of the larger discoveries were made by national oil companies in Venezuela, Mexico and Brazil. Undiscovered oil resources of 40-80 BBO are estimated to remain in the highest potential Latin American basins, including those in Mexico, based on historical field size data and current geological knowledge. Over 150 BBO of produced oil and proven reserves has been found in the same group of basins. The probability of finding large undiscovered oil and gas fields (>100 MMBOE) in selected established and mature Latin American basins is high. The Campos (Brazil), Llanos (Colombia), Magadalena (Colombia), Maracaibo (Venezuela), Marahon-Oriente-Putomayo (Peru-Ecuador-Colombia), Maturin (Venezuela), Reforma-Campeche (Mexico) and Ucayali (Peru) basins have the best possibility for such accumulations. Another tier of frontier and emerging basins may also contain significant resources, but limited data makes it difficult to estimate their undiscovered resources. Some of the higher potential basins in this group include the Sierra de Chiapas (Mexico/Guatemala), Huallaga (Peru), Yucatan (Mexico), Sabinas, and Burgos (Mexico) basins.

  13. Alaska Crude Oil + Lease Condensate New Reservoir Discoveries...

    U.S. Energy Information Administration (EIA) Indexed Site

    Crude Oil + Lease Condensate New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's...

  14. A test of the 'one-point method' for estimating maximum carboxylation capacity from field-measured, light-saturated photosynthesis

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Martin G. De Kauwe; Serbin, Shawn P.; Lin, Yan -Shih; Wright, Ian J.; Medlyn, Belinda E.; Crous, Kristine Y.; Ellsworth, David S.; Maire, Vincent; Prentice, I. Colin; Atkin, Owen K.; et al

    2015-12-31

    Here, simulations of photosynthesis by terrestrial biosphere models typically need a specification of the maximum carboxylation rate (Vcmax). Estimating this parameter using A–Ci curves (net photosynthesis, A, vs intercellular CO2 concentration, Ci) is laborious, which limits availability of Vcmax data. However, many multispecies field datasets include net photosynthetic rate at saturating irradiance and at ambient atmospheric CO2 concentration (Asat) measurements, from which Vcmax can be extracted using a ‘one-point method’.

  15. Sample size requirements for estimating effective dose from computed tomography using solid-state metal-oxide-semiconductor field-effect transistor dosimetry

    SciTech Connect (OSTI)

    Trattner, Sigal; Cheng, Bin; Pieniazek, Radoslaw L.; Hoffmann, Udo; Douglas, Pamela S.; Einstein, Andrew J.

    2014-04-15

    Purpose: Effective dose (ED) is a widely used metric for comparing ionizing radiation burden between different imaging modalities, scanners, and scan protocols. In computed tomography (CT), ED can be estimated by performing scans on an anthropomorphic phantom in which metal-oxide-semiconductor field-effect transistor (MOSFET) solid-state dosimeters have been placed to enable organ dose measurements. Here a statistical framework is established to determine the sample size (number of scans) needed for estimating ED to a desired precision and confidence, for a particular scanner and scan protocol, subject to practical limitations. Methods: The statistical scheme involves solving equations which minimize the sample size required for estimating ED to desired precision and confidence. It is subject to a constrained variation of the estimated ED and solved using the Lagrange multiplier method. The scheme incorporates measurement variation introduced both by MOSFET calibration, and by variation in MOSFET readings between repeated CT scans. Sample size requirements are illustrated on cardiac, chest, and abdomenpelvis CT scans performed on a 320-row scanner and chest CT performed on a 16-row scanner. Results: Sample sizes for estimating ED vary considerably between scanners and protocols. Sample size increases as the required precision or confidence is higher and also as the anticipated ED is lower. For example, for a helical chest protocol, for 95% confidence and 5% precision for the ED, 30 measurements are required on the 320-row scanner and 11 on the 16-row scanner when the anticipated ED is 4 mSv; these sample sizes are 5 and 2, respectively, when the anticipated ED is 10 mSv. Conclusions: Applying the suggested scheme, it was found that even at modest sample sizes, it is feasible to estimate ED with high precision and a high degree of confidence. As CT technology develops enabling ED to be lowered, more MOSFET measurements are needed to estimate ED with the same

  16. Decades of Discovery

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 6/1/2011 2.24 Unraveling the Mystery of High-Temperature Superconductivity Since the discovery in the 1980s of high-temperature superconductors, the Office of Science has supported research designed to explain and improve the physical behavior of these materials and develop methods of making wires and other objects from them. These materials conduct electricity with virtually no resistance at temperatures high enough to be cooled by liquid nitrogen (-196 degrees C, or -321 degrees F) instead

  17. Fluid pressure arrival time tomography: Estimation and assessment in the presence of inequality constraints, with an application to a producing gas field at Krechba, Algeria

    SciTech Connect (OSTI)

    Rucci, A.; Vasco, D.W.; Novali, F.

    2010-04-01

    Deformation in the overburden proves useful in deducing spatial and temporal changes in the volume of a producing reservoir. Based upon these changes we estimate diffusive travel times associated with the transient flow due to production, and then, as the solution of a linear inverse problem, the effective permeability of the reservoir. An advantage an approach based upon travel times, as opposed to one based upon the amplitude of surface deformation, is that it is much less sensitive to the exact geomechanical properties of the reservoir and overburden. Inequalities constrain the inversion, under the assumption that the fluid production only results in pore volume decreases within the reservoir. We apply the formulation to satellite-based estimates of deformation in the material overlying a thin gas production zone at the Krechba field in Algeria. The peak displacement after three years of gas production is approximately 0.5 cm, overlying the eastern margin of the anticlinal structure defining the gas field. Using data from 15 irregularly-spaced images of range change, we calculate the diffusive travel times associated with the startup of a gas production well. The inequality constraints are incorporated into the estimates of model parameter resolution and covariance, improving the resolution by roughly 30 to 40%.

  18. Decades of Discovery

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7 6/1/2011 3.2 Discovery of One of the Smallest Particles of Matter Forces of nature are mediated by the interaction or exchange of particles called bosons. In 1989, experiments at Stanford Linear Accelerator Center and the European Laboratory for Particle Physics (also known as CERN) made precise measurements of the lifetime of the Z0 boson, which carries the "weak force" that allows particles to change form. The experiment was significant because it implied that only three families

  19. LBNL-41172 Discovery

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    41172 Discovery of a Supernova Explosion at Half the Age of the Universe and its Cosmological Implications S. Perlmutter, G. Aldering, M. Della Valle, S. Deustua, R. S. Ellis, S. Fabbro, A. Fruchter, G. Goldhaber, A. Goobar, D. E. Groom, 1. M. Hook, A. G. Kim, M. Y. Kim, R.A. Knop, C. Lidman, R. G. McMahon, P. Nugent, R. Pain, N. Panagia, C. R. Pennypacker, P. Ruiz-Lapuente, B. Schaefer & N. Walton (The Supernova Cosmology Project) This work was supported in part by the Director, Office of

  20. The effect of the geomagnetic field on cosmic ray energy estimates and large scale anisotropy searches on data from the Pierre Auger Observatory

    SciTech Connect (OSTI)

    Abreu, P.; Aglietta, M.; Ahn, E.J.; Albuquerque, I.F.M.; Allard, D.; Allekotte, I.; Allen, J.; Allison, P.; Alvarez Castillo, J.; Alvarez-Muniz, J.; Ambrosio, M.; ,

    2011-11-01

    We present a comprehensive study of the influence of the geomagnetic field on the energy estimation of extensive air showers with a zenith angle smaller than 60{sup o}, detected at the Pierre Auger Observatory. The geomagnetic field induces an azimuthal modulation of the estimated energy of cosmic rays up to the {approx} 2% level at large zenith angles. We present a method to account for this modulation of the reconstructed energy. We analyse the effect of the modulation on large scale anisotropy searches in the arrival direction distributions of cosmic rays. At a given energy, the geomagnetic effect is shown to induce a pseudo-dipolar pattern at the percent level in the declination distribution that needs to be accounted for. In this work, we have identified and quantified a systematic uncertainty affecting the energy determination of cosmic rays detected by the surface detector array of the Pierre Auger Observatory. This systematic uncertainty, induced by the influence of the geomagnetic field on the shower development, has a strength which depends on both the zenith and the azimuthal angles. Consequently, we have shown that it induces distortions of the estimated cosmic ray event rate at a given energy at the percent level in both the azimuthal and the declination distributions, the latter of which mimics an almost dipolar pattern. We have also shown that the induced distortions are already at the level of the statistical uncertainties for a number of events N {approx_equal} 32 000 (we note that the full Auger surface detector array collects about 6500 events per year with energies above 3 EeV). Accounting for these effects is thus essential with regard to the correct interpretation of large scale anisotropy measurements taking explicitly profit from the declination distribution.

  1. A test of the 'one-point method' for estimating maximum carboxylation capacity from field-measured, light-saturated photosynthesis

    SciTech Connect (OSTI)

    Martin G. De Kauwe; Serbin, Shawn P.; Lin, Yan -Shih; Wright, Ian J.; Medlyn, Belinda E.; Crous, Kristine Y.; Ellsworth, David S.; Maire, Vincent; Prentice, I. Colin; Atkin, Owen K.; Rogers, Alistair; Niinemets, Ulo; Meir, Patrick; Uddling, Johan; Togashi, Henrique F.; Tarvainen, Lasse; Weerasinghe, Lasantha K.; Evans, Bradley J.; Ishida, F. Yoko; Domingues, Tomas F.

    2015-12-31

    Here, simulations of photosynthesis by terrestrial biosphere models typically need a specification of the maximum carboxylation rate (Vcmax). Estimating this parameter using A–Ci curves (net photosynthesis, A, vs intercellular CO2 concentration, Ci) is laborious, which limits availability of Vcmax data. However, many multispecies field datasets include net photosynthetic rate at saturating irradiance and at ambient atmospheric CO2 concentration (Asat) measurements, from which Vcmax can be extracted using a ‘one-point method’.

  2. Coupling field and laboratory measurements to estimate the emission factors of identified and unidentified trace gases for prescribed fires

    SciTech Connect (OSTI)

    Yokelson, Robert J.; Burling, Ian R.; Gilman, Jessica; Warneke, Carsten; Stockwell, Chelsea E.; de Gouw, Joost A.; Akagi, Sheryl; Urbanski, Shawn; Veres, Patrick; Roberts, James M.; Kuster, W. C.; Reardon, James; Griffith, David WT; Johnson, Timothy J.; Hosseini, SeyedEhsan; Miller, J. Wayne; Cocker, David R.; Jung, H.; Weise, David

    2013-01-07

    Vegetative fuels commonly consumed in prescribed fires were collected from five locations in the southeastern and southwestern U.S. and burned in a series of 77 fires at the U.S. Forest Service Fire Sciences Laboratory in Missoula, Montana. The particulate matter (PM2.5) emissions were measured by gravimetric filter sampling with subsequent analysis for elemental carbon (EC), organic carbon (OC), and 38 elements. The trace gas emissions were measured with a large suite of state-of-the-art instrumentation including an open-path Fourier transform infrared (OP FTIR) spectrometer, proton-transfer-reaction mass spectrometry (PTR-MS), proton-transfer ion-trap mass spectrometry (PIT-MS), negative-ion proton-transfer chemical-ionization mass spectrometry (NI-PT-CIMS), and gas chromatography with MS detection (GC-MS). 204 trace gas species (mostly non-methane organic compounds (NMOC)) were identified and quantified with the above instruments. An additional 152 significant peaks in the unit mass resolution mass spectra were quantified, but either could not be identified or most of the signal at that molecular mass was unaccounted for by identifiable species. As phase II of this study, we conducted airborne and ground-based sampling of the emissions from real prescribed fires mostly in the same land management units where the fuels for the lab fires were collected. A broad variety, but smaller number of species (21 trace gas species and PM2.5) was measured on 14 fires in chaparral and oak savanna in the southwestern US, as well as pine forest understory in the southeastern US and Sierra Nevada mountains of California. These extensive field measurements of emission factors (EF) for temperate biomass burning are useful both for modeling and to examine the representativeness of our lab fire EF. The lab/field EF ratio for the pine understory fuels was not statistically different from one, on average. However, our lab EF for smoldering compounds emitted by burning the semi

  3. Choosing experiments to accelerate collective discovery

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Rzhetsky, Andrey; Foster, Jacob G.; Foster, Ian T.; Evans, James A.

    2015-11-24

    Scientists perform a tiny subset of all possible experiments. What characterizes the experiments they choose? What are the consequences of those choices for the pace of scientific discovery? We model scientific knowledge as a network and science as a sequence of experiments designed to gradually uncover it. By analyzing millions of biomedical articles published over 30 y, we find that biomedical scientists pursue conservative research strategies exploring the local neighborhood of central, important molecules. Although such strategies probably serve scientific careers, we show that they slow scientific advance, especially in mature fields, where more risk and less redundant experimentation wouldmore » accelerate discovery of the network. Lastly, we also consider institutional arrangements that could help science pursue these more efficient strategies.« less

  4. Choosing experiments to accelerate collective discovery

    SciTech Connect (OSTI)

    Rzhetsky, Andrey; Foster, Jacob G.; Foster, Ian T.; Evans, James A.

    2015-11-24

    Scientists perform a tiny subset of all possible experiments. What characterizes the experiments they choose? What are the consequences of those choices for the pace of scientific discovery? We model scientific knowledge as a network and science as a sequence of experiments designed to gradually uncover it. By analyzing millions of biomedical articles published over 30 y, we find that biomedical scientists pursue conservative research strategies exploring the local neighborhood of central, important molecules. Although such strategies probably serve scientific careers, we show that they slow scientific advance, especially in mature fields, where more risk and less redundant experimentation would accelerate discovery of the network. Lastly, we also consider institutional arrangements that could help science pursue these more efficient strategies.

  5. System for Information Discovery

    Energy Science and Technology Software Center (OSTI)

    1998-09-25

    SID characterizes natural language based documents so that they may be related and retrieved based on content similarity. This technology processes textual documents, autonoumsly identifies the major topics of the document set, and constructs an interpretable, high dimensional representation of each document. SID also provides the ability to interactively reweight representations based on user need, so users may analyze the dataset from multiple points of view. The particular advantages SID offers are speed, data compression,more » flexibility in representation, and incremental processing. SPIRE consists of software for visual analysis of text-based information sources. This technology enables users to make discoveries about the content of very large sets of textual documents without requiring the user to read or presort the documents. It employs algorithms for text and word proximity analysis to identify the key themes within the documents. The results of this analysis are projected onto a visual spatial proximity display (Galaxies or Themescape) where document proximity represents the degree of relatedness of theme.« less

  6. New Mexico - East Crude Oil + Lease Condensate Reserves New Field...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Million Barrels) New Mexico - East Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

  7. Fermilab | Inquiring Minds | Neutrino | Discovery | Particles...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    | theory | astrophysics | discoveries at Fermilab Discoveries at Fermilab - The Tau Neutrino Neutrino Symbol An international collaboration of scientists at the Department...

  8. Materials Discovery | Materials Science | NREL

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Discovery Images of red and yellow particles NREL's research in materials discovery serves as a foundation for technological progress in renewable energies. Our experimental activities in inorganic solid-state materials innovation span a broad range of technological readiness levels-from basic science through applied research to device development-relying on a high-throughput combinatorial materials science approach, followed by traditional targeted experiments. In addition, our researchers work

  9. Determining Best Estimates and Uncertainties in Cloud Microphysical Parameters from ARM Field Data: Implications for Models, Retrieval Schemes and Aerosol-Cloud-Radiation Interactions

    SciTech Connect (OSTI)

    McFarquhar, Greg

    2015-12-28

    We proposed to analyze in-situ cloud data collected during ARM/ASR field campaigns to create databases of cloud microphysical properties and their uncertainties as needed for the development of improved cloud parameterizations for models and remote sensing retrievals, and for evaluation of model simulations and retrievals. In particular, we proposed to analyze data collected over the Southern Great Plains (SGP) during the Mid-latitude Continental Convective Clouds Experiment (MC3E), the Storm Peak Laboratory Cloud Property Validation Experiment (STORMVEX), the Small Particles in Cirrus (SPARTICUS) Experiment and the Routine AAF Clouds with Low Optical Water Depths (CLOWD) Optical Radiative Observations (RACORO) field campaign, over the North Slope of Alaska during the Indirect and Semi-Direct Aerosol Campaign (ISDAC) and the Mixed-Phase Arctic Cloud Experiment (M-PACE), and over the Tropical Western Pacific (TWP) during The Tropical Warm Pool International Cloud Experiment (TWP-ICE), to meet the following 3 objectives; derive statistical databases of single ice particle properties (aspect ratio AR, dominant habit, mass, projected area) and distributions of ice crystals (size distributions SDs, mass-dimension m-D, area-dimension A-D relations, mass-weighted fall speeds, single-scattering properties, total concentrations N, ice mass contents IWC), complete with uncertainty estimates; assess processes by which aerosols modulate cloud properties in arctic stratus and mid-latitude cumuli, and quantify aerosol’s influence in context of varying meteorological and surface conditions; and determine how ice cloud microphysical, single-scattering and fall-out properties and contributions of small ice crystals to such properties vary according to location, environment, surface, meteorological and aerosol conditions, and develop parameterizations of such effects.In this report we describe the accomplishments that we made on all 3 research objectives.

  10. Estimating Methods

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

  11. DISCOVERY OF A WOLF-RAYET STAR THROUGH DETECTION OF ITS PHOTOMETRIC VARIABILITY

    SciTech Connect (OSTI)

    Littlefield, Colin; Garnavich, Peter; McClelland, Colin; Rettig, Terrence; Marion, G. H.; Vinko, Jozsef; Wheeler, J. Craig

    2012-06-15

    We report the serendipitous discovery of a heavily reddened Wolf-Rayet star that we name WR 142b. While photometrically monitoring a cataclysmic variable, we detected weak variability in a nearby field star. Low-resolution spectroscopy revealed a strong emission line at 7100 A, suggesting an unusual object and prompting further study. A spectrum taken with the Hobby-Eberly Telescope confirms strong He II emission and an N IV 7112 A line consistent with a nitrogen-rich Wolf-Rayet star of spectral class WN6. Analysis of the He II line strengths reveals no detectable hydrogen in WR 142b. A blue-sensitive spectrum obtained with the Large Binocular Telescope shows no evidence for a hot companion star. The continuum shape and emission line ratios imply a reddening of E(B - V) = 2.2-2.6 mag. We estimate that the distance to WR 142b is 1.4 {+-} 0.3 kpc.

  12. DISCOVERY OF TWO ADDITIONAL JOVIAN IRREGULARS

    SciTech Connect (OSTI)

    Alexandersen, M.; Gladman, B.; Veillet, C.; Jacobson, R.; Brozovic, M.; Rousselot, P.

    2012-07-15

    We report on the discovery of two previously undetected irregular satellites of Jupiter (S/2010 J 1 and S/2010 J 2) during recovery observations of other known satellites. S/2010 J 1 was discovered with the Palomar 200 inch Hale telescope on September 7 UT of 2011, while S/2010 J 2 was discovered on September 8 with the 3.5 m Canada-France-Hawaii Telescope. The satellites have r-band magnitudes of 23.2 {+-} 0.3 and 24.0 {+-} 0.3, for S/2010 J 1 and S/2010 J 2, respectively, indicating diameters of {approx}2-3 km. Both S/2010 J 1 and S/2010 J 2 are on bound retrograde orbits. Time-averaged integrated orbits suggest the association to the Carme and Ananke groups, respectively. Given that the satellites were discovered within a small field during the routine observations of the previously known irregulars, their discovery agrees with predictions that other moons of similar sizes remain undetected in the Jovian Hill sphere.

  13. A REFINED ESTIMATE OF THE IONIZING EMISSIVITY FROM GALAXIES AT z {approx_equal} 3: SPECTROSCOPIC FOLLOW-UP IN THE SSA22a FIELD

    SciTech Connect (OSTI)

    Nestor, Daniel B.; Shapley, Alice E.; Kornei, Katherine A.; Steidel, Charles C.; Siana, Brian

    2013-03-01

    We investigate the contribution of star-forming galaxies to the ionizing background at z {approx} 3, building on previous work based on narrowband (NB3640) imaging in the SSA22a field. We use new Keck/LRIS spectra of Lyman break galaxies (LBGs) and narrowband-selected Ly{alpha} emitters (LAEs) to measure redshifts for 16 LBGs and 87 LAEs at z > 3.055, such that our NB3640 imaging probes the Lyman-continuum (LyC) region. When we include the existing set of spectroscopically confirmed LBGs, our total sample with z > 3.055 consists of 41 LBGs and 91 LAEs, of which 9 LBGs and 20 LAEs are detected in our NB3640 image. With our combined imaging and spectroscopic data sets, we critically investigate the origin of NB3640 emission for detected LBGs and LAEs. We remove from our samples three LBGs and three LAEs with spectroscopic evidence of contamination of their NB3640 flux by foreground galaxies and statistically model the effects of additional, unidentified foreground contaminants. The resulting contamination and LyC-detection rates, respectively, are 62% {+-} 13% and 8% {+-} 3% for our LBG sample, and 47% {+-} 10% and 12% {+-} 2% for our LAE sample. The corresponding ratios of non-ionizing UV to LyC flux density, corrected for intergalactic medium (IGM) attenuation, are 18.0{sup +34.8} {sub -7.4} for LBGs and 3.7{sup +2.5} {sub -1.1} for LAEs. We use these ratios to estimate the total contribution of star-forming galaxies to the ionizing background and the hydrogen photoionization rate in the IGM, finding values larger than, but consistent with, those measured in the Ly{alpha} forest. Finally, the measured UV to LyC flux-density ratios imply model-dependent LyC escape fractions of f {sup LyC} {sub esc} {approx} 5%-7% for our LBG sample and f {sup LyC} {sub esc} {approx} 10%-30% for our fainter LAE sample.

  14. Fermilab | Science | Particle Physics | Key Discoveries

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Key Discoveries Fermilab produced its first high-energy particle beam on March 1, 1972. Since then hundreds of experiments have used Fermilab's accelerators to study matter at ever smaller scales and its detectors to study the universe at great distances. Here an overview of the top achievements so far. Discovery of the Higgs boson Discovery of the top quark Discovery of the bottom quark Observation of tau neutrino Discovery of a quasar at a distance of 27 billion light-years Observation of

  15. ARM - Field Campaign - Remote Cloud Sensing (RCS) Field Evaluation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsRemote Cloud Sensing (RCS) Field Evaluation ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA....

  16. ARM - AAF RACORO Field Campaign

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govField CampaignsRoutine AAF Clouds with Low Optical Water Depths (CLOWD) Optical Radiative Observations (RACORO)Data Plots Related Links RACORO Home AAF Home ARM Data Discovery...

  17. Frontiers for Discovery in High Energy Density Physics

    SciTech Connect (OSTI)

    Davidson, R. C.; Katsouleas, T.; Arons, J.; Baring, M.; Deeney, C.; Di Mauro, L.; Ditmire, T.; Falcone, R.; Hammer, D.; Hill, W.; Jacak, B.; Joshi, C.; Lamb, F.; Lee, R.; Logan, B. G.; Melissinos, A.; Meyerhofer, D.; Mori, W.; Murnane, M.; Remington, B.; Rosner, R.; Schneider, D.; Silvera, I.; Stone, J.; Wilde, B.; Zajc. W.

    2004-07-20

    The report is intended to identify the compelling research opportunities of high intellectual value in high energy density physics. The opportunities for discovery include the broad scope of this highly interdisciplinary field that spans a wide range of physics areas including plasma physics, laser and particle beam physics, nuclear physics, astrophysics, atomic and molecular physics, materials science and condensed matter physics, intense radiation-matter interaction physics, fluid dynamics, and magnetohydrodynamics

  18. Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation

    SciTech Connect (OSTI)

    Keller, Brad M.; Nathan, Diane L.; Wang Yan; Zheng Yuanjie; Gee, James C.; Conant, Emily F.; Kontos, Despina

    2012-08-15

    Purpose: The amount of fibroglandular tissue content in the breast as estimated mammographically, commonly referred to as breast percent density (PD%), is one of the most significant risk factors for developing breast cancer. Approaches to quantify breast density commonly focus on either semiautomated methods or visual assessment, both of which are highly subjective. Furthermore, most studies published to date investigating computer-aided assessment of breast PD% have been performed using digitized screen-film mammograms, while digital mammography is increasingly replacing screen-film mammography in breast cancer screening protocols. Digital mammography imaging generates two types of images for analysis, raw (i.e., 'FOR PROCESSING') and vendor postprocessed (i.e., 'FOR PRESENTATION'), of which postprocessed images are commonly used in clinical practice. Development of an algorithm which effectively estimates breast PD% in both raw and postprocessed digital mammography images would be beneficial in terms of direct clinical application and retrospective analysis. Methods: This work proposes a new algorithm for fully automated quantification of breast PD% based on adaptive multiclass fuzzy c-means (FCM) clustering and support vector machine (SVM) classification, optimized for the imaging characteristics of both raw and processed digital mammography images as well as for individual patient and image characteristics. Our algorithm first delineates the breast region within the mammogram via an automated thresholding scheme to identify background air followed by a straight line Hough transform to extract the pectoral muscle region. The algorithm then applies adaptive FCM clustering based on an optimal number of clusters derived from image properties of the specific mammogram to subdivide the breast into regions of similar gray-level intensity. Finally, a SVM classifier is trained to identify which clusters within the breast tissue are likely fibroglandular, which are then

  19. Materials Discovery across Technological Readiness Levels | Materials

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Science | NREL Materials Discovery across Technological Readiness Levels Materials discovery is important across technology readiness levels: basic science, applied research, and device development. Over the past several years, NREL has worked at each of these levels, demonstrating our competence in a broad range of materials discovery problems. Basic Science An image of a triangular diagram with tantalum-cobalt-tin at the top vertex, tantalum at the lower left vertex, and cobalt at the

  20. Stories of Discovery & Innovation: Scientists Create World's...

    Office of Science (SC) Website

    Scientists Create World's Smallest Battery Energy Frontier Research Centers (EFRCs) EFRCs ... Stories of Discovery & Innovation: Scientists Create World's Smallest Battery Print Text ...

  1. Quantification of Contralateral Breast Dose and Risk Estimate of Radiation-Induced Contralateral Breast Cancer Among Young Women Using Tangential Fields and Different Modes of Breathing

    SciTech Connect (OSTI)

    Zurl, Brigitte; Stranzl, Heidi; Winkler, Peter; Kapp, Karin Sigrid

    2013-02-01

    Purpose: Whole breast irradiation with deep-inspiration breath-hold (DIBH) technique among left-sided breast cancer patients significantly reduces cardiac irradiation; however, a potential disadvantage is increased incidental irradiation of the contralateral breast. Methods and Materials: Contralateral breast dose (CBD) was calculated by comparing 400 treatment plans of 200 left-sided breast cancer patients whose tangential fields had been planned on gated and nongated CT data sets. Various anatomic and field parameters were analyzed for their impact on CBD. For a subgroup of patients (aged {<=}45 years) second cancer risk in the contralateral breast (CB) was modeled by applying the linear quadratic model, compound models, and compound models considering dose-volume information (DVH). Results: The mean CBD was significantly higher in DIBH with 0.69 Gy compared with 0.65 Gy in normal breathing (P=.01). The greatest impact on CBD was due to a shift of the inner field margin toward the CB in DIBH (mean 0.4 cm; range, 0-2), followed by field size in magnitude. Calculation with different risk models for CBC revealed values of excess relative risk/Gy ranging from 0.48-0.65 vs 0.46-0.61 for DIBH vs normal breathing, respectively. Conclusion: Contralateral breast dose, although within a low dose range, was mildly but significantly increased in 200 treatment plans generated under gated conditions, predominately due to a shift in the medial field margin. Risk modeling for CBC among women aged {<=}45 years also pointed to a higher risk when comparing DIBH with normal breathing. This risk, however, was substantially lower in the model considering DVH information. We think that clinical decisions should not be affected by this small increase in CBD with DIBH because DIBH is effective in reducing the dose to the heart in all patients.

  2. Discoveries in Energy & Environment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Changes to proved reserves of U.S. natural gas by source, 2013-14 trillion cubic feet Year-end 2013 2014 Year-end 2014 proved 2014 revisions and 2014 proved Source of natural gas reserves Discoveries other changes production reserves Coalbed methane 12.4 0.4 4.3 -1.4 15.7 Shale 159.1 37.8 16.2 -13.4 199.7 Other U.S. natural gas Lower 48 onshore 166.0 11.4 -8.4 -11.7 157.2 Lower 48 offshore 9.1 0.8 0.8 -1.3 9.4 Alaska 7.4 0.1 -0.4 -0.3 6.8 U.S. TOTAL 354.0 50.5 12.4 -28.1 388.8 Note: Lower 48

  3. Lease Condensate New Reservoir Discoveries in Old Fields

    U.S. Energy Information Administration (EIA) Indexed Site

    4 8 29 7 24 12 2009-2014 Federal Offshore U.S. 10 4 1 0 3 1 2009-2014 Pacific (California) 0 0 0 0 0 0 2009-2014 Gulf of Mexico (Louisiana & Alabama) 5 1 1 0 1 1 2009-2014 Gulf of...

  4. Dry Natural Gas New Reservoir Discoveries in Old Fields

    Gasoline and Diesel Fuel Update (EIA)

    ,598 1,668 1,227 376 1,566 2,562 1977-2014 Federal Offshore U.S. 300 237 76 103 73 94 1990-2014 Pacific (California) 0 0 0 0 0 0 1977-2014 Gulf of Mexico (Louisiana & Alabama) 223 213 76 48 56 68 1981-2014 Gulf of Mexico (Texas) 77 24 0 55 17 26 1981-2014 Alaska 0 0 3 0 1 0 1977-2014 Lower 48 States 2,598 1,668 1,224 376 1,565 2,562 1977-2014 Alabama 0 0 0 0 0 14 1977-2014 Arkansas 36 27 23 11 1 2 1977-2014 California 0 0 0 9 2 2 1977-2014 Coastal Region Onshore 0 0 0 0 0 0 1977-2014 Los

  5. Dry Natural Gas New Reservoir Discoveries in Old Fields (Summary)

    Gasoline and Diesel Fuel Update (EIA)

    2,598 1,668 1,227 376 1,566 2,562 1977-2014 Alabama 0 0 0 0 0 14 1977-2014 Alaska 0 0 3 0 1 0 1977-2014 Arkansas 36 27 23 11 1 2 1977-2014 California 0 0 0 9 2 2 1977-2014 Colorado 0 27 0 0 12 6 1977-2014 Florida 0 0 0 0 0 0 1977-2014 Kansas 0 1 1 0 0 0 1977-2014 Kentucky 0 0 0 0 0 1 1977-2014 Louisiana 1,542 279 167 13 21 69 1981-2014 Michigan 9 0 0 1 3 1 1977-2014 Mississippi 0 0 0 0 0 2 1977-2014 Montana 0 1 1 0 0 0 1977-2014 New Mexico 3 3 9 4 89 3 1977-2014 New York 0 0 27 0 0 0 1977-2014

  6. Dry Natural Gas Proved Reserves New Field Discoveries (Summary)

    Gasoline and Diesel Fuel Update (EIA)

    1,372 850 947 762 256 632 1977-2014 Alabama 0 3 2 0 0 0 1977-2014 Alaska 0 0 0 0 0 0 1977-2014 Arkansas 0 0 0 0 0 0 1977-2014 California 1 1 0 4 0 0 1977-2014 Colorado 8 22 18 9 0 0 1977-2014 Florida 0 0 0 0 0 0 1977-2014 Kansas 0 4 0 5 0 0 1977-2014 Kentucky 0 0 1 0 0 0 1977-2014 Louisiana 257 48 47 5 17 57 1981-2014 Michigan 19 2 14 7 0 0 1977-2014 Mississippi 2 0 1 1 0 1 1977-2014 Montana 0 0 7 0 0 0 1977-2014 New Mexico 1 0 3 1 0 1 1977-2014 New York 0 56 0 0 0 0 1977-2014 North Dakota 6 25

  7. Natural Gas Liquids New Reservoir Discoveries in Old Fields

    Gasoline and Diesel Fuel Update (EIA)

    72 54 42 53 58 68 1979-2008 Federal Offshore U.S. 37 32 21 19 16 18 1981-2008 Pacific (California) 0 0 0 0 0 0 1979-2008 Gulf of Mexico (Louisiana & Alabama) 32 31 19 18 16 17 1981-2008 Gulf of Mexico (Texas) 5 1 2 1 0 1 1981-2008 Alaska 0 0 0 0 0 0 1979-2008 Lower 48 States 72 54 42 53 58 68 1979-2008 Alabama 0 0 0 0 0 0 1979-2008 Arkansas 0 0 0 0 0 0 1979-2008 California 0 0 0 0 0 1 1979-2008 Coastal Region Onshore 0 0 0 0 0 0 1979-2008 Los Angeles Basin Onshore 0 0 0 0 0 0 1979-2008 San

  8. New Field Discoveries of Dry Natural Gas Reserves

    Gasoline and Diesel Fuel Update (EIA)

    1,372 850 947 762 256 632 1977-2014 Federal Offshore U.S. 308 68 562 82 84 378 1990-2014 Pacific (California) 0 0 0 0 0 0 1977-2014 Gulf of Mexico (Louisiana & Alabama) 48 68 562 64 84 378 1981-2014 Gulf of Mexico (Texas) 260 0 0 18 0 0 1981-2014 Alaska 0 0 0 0 0 0 1977-2014 Lower 48 States 1,372 850 947 762 256 632 1977-2014 Alabama 0 3 2 0 0 0 1977-2014 Arkansas 0 0 0 0 0 0 1977-2014 California 1 1 0 4 0 0 1977-2014 Coastal Region Onshore 0 0 0 0 0 0 1977-2014 Los Angeles Basin Onshore 0 0

  9. New Field Discoveries of Natural Gas, Wet After Lease Separation

    Gasoline and Diesel Fuel Update (EIA)

    1,423 895 987 780 263 671 1979-2014 Federal Offshore U.S. 310 71 590 87 88 399 1990-2014 Pacific (California) 0 0 0 0 0 0 1979-2014 Gulf of Mexico (Louisiana & Alabama) 50 71 590 68 88 399 1981-2014 Gulf of Mexico (Texas) 260 0 0 19 0 0 1981-2014 Alaska 0 0 0 0 0 0 1979-2014 Lower 48 States 1,423 895 987 780 263 671 1979-2014 Alabama 0 3 2 0 0 0 1979-2014 Arkansas 0 0 0 0 0 0 1979-2014 California 1 1 0 4 0 0 1979-2014 Coastal Region Onshore 0 0 0 0 0 0 1979-2014 Los Angeles Basin Onshore 0 0

  10. Nonassociated Natural Gas New Field Discoveries, Wet After Lease Separation

    Gasoline and Diesel Fuel Update (EIA)

    1,160 793 376 629 200 344 1979-2014 Federal Offshore U.S. 96 65 66 22 34 96 1990-2014 Pacific (California) 0 0 0 0 0 0 1979-2014 Gulf of Mexico (Louisiana & Alabama) 25 65 66 3 34 96 1981-2014 Gulf of Mexico (Texas) 71 0 0 19 0 0 1981-2014 Alaska 0 0 0 0 0 0 1979-2014 Lower 48 States 1,160 793 376 629 200 344 1979-2014 Alabama 0 1 0 0 0 0 1979-2014 Arkansas 0 0 0 0 0 0 1979-2014 California 1 1 0 0 0 0 1979-2014 Coastal Region Onshore 0 0 0 0 0 0 1979-2014 Los Angeles Basin Onshore 0 0 0 0 0

  11. Nonassociated Natural Gas New Reservoir Discoveries in Old Fields, Wet

    Gasoline and Diesel Fuel Update (EIA)

    After Lease Separation 2,487 1,515 1,100 179 1,099 2,161 1979-2014 Federal Offshore U.S. 186 95 38 28 65 90 1990-2014 Pacific (California) 0 0 0 0 0 0 1979-2014 Gulf of Mexico (Louisiana & Alabama) 150 83 38 22 47 64 1981-2014 Gulf of Mexico (Texas) 36 12 0 6 18 26 1981-2014 Alaska 0 0 3 0 1 0 1979-2014 Lower 48 States 2,487 1,515 1,097 179 1,098 2,161 1979-2014 Alabama 0 0 0 0 0 0 1979-2014 Arkansas 36 27 23 11 1 2 1979-2014 California 0 0 0 9 0 0 1979-2014 Coastal Region Onshore 0 0 0

  12. Discovery of the young L dwarf wise J174102.78-464225.5

    SciTech Connect (OSTI)

    Schneider, Adam C.; Cushing, Michael C.; Kirkpatrick, J. Davy; Mace, Gregory N.; Gelino, Christopher R.; Fajardo-Acosta, Sergio; Faherty, Jacqueline K.; Sheppard, Scott S.

    2014-02-01

    We report the discovery of the L dwarf WISE J174102.78464225.5, which was discovered as part of a search for nearby L dwarfs using the Wide-field Infrared Survey Explorer (WISE). The distinct triangular peak of the H-band portion of its near-infrared spectrum and its red near-infrared colors (J K{sub S} = 2.35 0.08 mag) are indicative of a young age. Via comparison to spectral standards and other red L dwarfs, we estimate a near-infrared spectral type of L7 2 (pec). From a comparison to spectral and low-mass evolutionary models, we determine self-consistent effective temperature, log g, age, and mass values of 1450 100 K, 4.0 0.25 (cm s{sup 2}), 10-100 Myr, and 4-21 M {sub Jup}, respectively. With an estimated distance of 10-30 pc, we explore the possibility that WISE J174102.78464225.5 belongs to one of the young nearby moving groups via a kinematic analysis and we find potential membership in the ? Pictoris or AB Doradus associations. A trigonometric parallax measurement and a precise radial velocity can help to secure its membership in either of these groups.

  13. 2006 Department of Energy Strategic Plan - Scientific Discovery...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Plan - Scientific Discovery and Innovation 2006 Department of Energy Strategic Plan - Scientific Discovery and Innovation The United States has always been a Nation of innovators ...

  14. NERSC User Day February 13 - Trends, Discovery, and Innovation...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Day February 13 - Trends, Discovery, and Innovation in HPC NERSC User Day February 13 - Trends, Discovery, and Innovation in HPC February 10, 2013 by Francesca Verdier All members ...

  15. Flow cytometry aids basic cell biology research and drug discovery

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Flow cytometry aids basic cell biology research and drug discovery Flow cytometry aids basic cell biology research and drug discovery Life Technologies Corporation and LANL have ...

  16. UC 9-8-307 - Antiquities Discovery Reporting Requirements | Open...

    Open Energy Info (EERE)

    UC 9-8-307 - Antiquities Discovery Reporting RequirementsLegal Abstract Sets forth reporting requirements for discovery of archaeological resources on nonfederal lands....

  17. The Top Quark, Its Discovery, and Subsequent Research

    Office of Scientific and Technical Information (OSTI)

    The Top Quark, Its Discovery, and Subsequent Research Resources with Additional Information 'Ever since the existence of the bottom (or b) quark was inferred from the discovery of ...

  18. Materials Design and Discovery: Catalysis and Energy Storage...

    Office of Scientific and Technical Information (OSTI)

    Materials Design and Discovery: Catalysis and Energy Storage (Mira Early Science Program ... Citation Details In-Document Search Title: Materials Design and Discovery: Catalysis and ...

  19. On the belated discovery of fission

    SciTech Connect (OSTI)

    Pearson, J. Michael

    2015-06-15

    A remarkable sequence of missteps, misfortune, and oversights delayed the discovery of nuclear fission until the eve of World War II—and likely altered history’s course.

  20. 2015 Discovery Science Call for Proposal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    users 2015 Discovery Science Call for Proposal Reference Links: - Basic NIF Specs (User ... proposals via the web based form June 30, 2015. Full proposals are due by September 1, ...

  1. COLLOQUIUM: Laboratory Study of Magnetic Reconnection: Recent Discoveries

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    on MRX | Princeton Plasma Physics Lab March 27, 2013, 4:15pm to 5:30pm Colloquia MBG Auditorium COLLOQUIUM: Laboratory Study of Magnetic Reconnection: Recent Discoveries on MRX Dr. Masaaki Yamada Princeton University Presentation: File WC27MAR2013_MYamada.pptx Magnetic reconnection is a phenomenon of nature in which magnetic field lines change their topology in plasma and convert magnetic energy to particles by acceleration and heating. It is one of the most fundamental processes at work in

  2. Abandoned Texas oil fields

    SciTech Connect (OSTI)

    Not Available

    1980-12-01

    Data for Texas abandoned oil fields were primarily derived from two sources: (1) Texas Railroad Commission (TRRC), and (2) Dwight's ENERGYDATA. For purposes of this report, abandoned oil fields are defined as those fields that had no production during 1977. The TRRC OILMASTER computer tapes were used to identify these abandoned oil fields. The tapes also provided data on formation depth, gravity of oil production, location (both district and county), discovery date, and the cumulative production of the field since its discovery. In all, the computer tapes identified 9211 abandoned fields, most of which had less than 250,000 barrel cumulative production. This report focuses on the 676 abandoned onshore Texas oil fields that had cumulative production of over 250,000 barrels. The Dwight's ENERGYDATA computer tapes provided production histories for approximately two-thirds of the larger fields abandoned in 1966 and thereafter. Fields which ceased production prior to 1966 will show no production history nor abandonment date in this report. The Department of Energy hopes the general availability of these data will catalyze the private sector recovery of this unproduced resource.

  3. The Electrochemical Discovery Laboratory - Joint Center for Energy Storage

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Research Electrochemical Discovery Laboratory The Electrochemical Discovery Laboratory (EDL) - a key JCESR discovery tool located at Argonne - synthesizes high-quality materials for testing in beyond-lithium-ion batteries and characterizes their properties with state-of-the-art analytical techniques. Download Electrochemical Discovery Laboratory

  4. VBD-0063- In the Matter of Bruce R. Field

    Broader source: Energy.gov [DOE]

    This determination will consider a Motion for Discovery filed with the Office of Hearings and Appeals (OHA) by Bruce R. Field (Field). This Motion, dated August 2, 2001, concerns the hearing...

  5. Electrochemical Discovery Laboratory - Joint Center for Energy Storage

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Research Electrochemical Discovery Laboratory March 28, 2016, Accomplishments The Electrochemical Discovery Laboratory The Electrochemical Discovery Laboratory (EDL) - a key JCESR discovery tool located at Argonne - synthesizes high-quality materials for testing in beyond-lithium-ion batteries and characterizes their properties with state-of-the-art analytical techniques. Read More Electrochemical Discovery Laboratory February 29, 2016, Accomplishments Water as a Catalyst - Improving how

  6. COLDz: KARL G. JANSKY VERY LARGE ARRAY DISCOVERY OF A GAS-RICH GALAXY IN COSMOS

    SciTech Connect (OSTI)

    Lentati, L.; Wagg, J.; Carilli, C. L.; Riechers, D.; Sharon, C.; Capak, P.; Scoville, N.; Walter, F.; Da Cunha, E.; Decarli, R.; Aravena, M.; Hodge, J. A.; Ivison, R. J.; Smail, I.; Daddi, E.; Dickinson, M.; Sargent, M.; Smolčć, V.

    2015-02-10

    The broad spectral bandwidth at millimeter and centimeter wavelengths provided by the recent upgrades to the Karl G. Jansky Very Large Array (VLA) has made it possible to conduct unbiased searches for molecular CO line emission at redshifts, z > 1.31. We present the discovery of a gas-rich, star-forming galaxy at z = 2.48 through the detection of CO J = 1-0 line emission in the COLDz survey and through a sensitive, Ka-band (31-39 GHz) VLA survey of a 6.5 arcmin{sup 2} region of the COSMOS field. We argue that the broad line (FWHM ∼ 570 ± 80 km s{sup –1}) is most likely to be CO J = 1-0 at z = 2.48, as the integrated emission is spatially coincident with an infrared-detected galaxy with a photometric redshift estimate of z {sub phot} = 3.2 ± 0.4. The CO J = 1-0 line luminosity is L{sub CO}{sup ′}=(2.2±0.3)×10{sup 10} K km s{sup –1} pc{sup 2}, suggesting a cold molecular gas mass of M {sub gas} ∼ (2-8) × 10{sup 10} M {sub ☉} depending on the assumed value of the molecular gas mass to CO luminosity ratio α{sub CO}. The estimated infrared luminosity from the (rest-frame) far-infrared spectral energy distribution (SED) is L {sub IR} = 2.5 × 10{sup 12} L {sub ☉} and the star formation rate is ∼250 M {sub ☉} yr{sup –1}, with the SED shape indicating substantial dust obscuration of the stellar light. The infrared to CO line luminosity ratio is ∼114 ± 19 L {sub ☉}/(K km s{sup –1} pc{sup 2}), similar to galaxies with similar SFRs selected at UV/optical to radio wavelengths. This discovery confirms the potential for molecular emission line surveys as a route to study populations of gas-rich galaxies in the future.

  7. Estimating Motor Efficiency in the Field

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    acceptable methods and devices, motor effciency values can be obtained at full and part load. ... The necessary instruments are costly, and the process is very time and labor ...

  8. Research towards a systematic signature discovery process

    SciTech Connect (OSTI)

    Baker, Nathan A.; Barr, Jonathan L.; Bonheyo, George T.; Joslyn, Cliff A.; Krishnaswami, Kannan; Oxley, Mark; Quadrel, Richard W.; Sego, Landon H.; Tardiff, Mark F.; Wynne, Adam S.

    2013-06-04

    In its most general form, a signature is a unique or distinguishing measurement, pattern, or collection of data that identifies a phenomenon (object, action, or behavior) of interest. The discovery of signatures is an important aspect of a wide range of disciplines from basic science to national security for the rapid and efficient detection and/or prediction of phenomena. Current practice in signature discovery is typically accomplished by asking domain experts to characterize and/or model individual phenomena to identify what might compose a useful signature. What is lacking is an approach that can be applied across a broad spectrum of domains and information sources to efficiently and robustly construct candidate signatures, validate their reliability, measure their quality, and overcome the challenge of detection -- all in the face of dynamic conditions, measurement obfuscation and noisy data environments. Our research has focused on the identification of common elements of signature discovery across application domains and the synthesis of those elements into a systematic process for more robust and efficient signature development. In this way, a systematic signature discovery process lays the groundwork for leveraging knowledge obtained from signatures to a particular domain or problem area, and, more generally, to problems outside that domain. This paper presents the initial results of this research by discussing a mathematical framework for representing signatures and placing that framework in the context of a systematic signature discovery process. Additionally, the basic steps of this process are described with details about the methods available to support the different stages of signature discovery, development, and deployment.

  9. Shell appraising deepwater discovery off Philippines

    SciTech Connect (OSTI)

    Scherer, M. ); Lambers, E.J.T.; Steffens, G.S. )

    1993-05-10

    Shell International Petroleum Co. Ltd. negotiated a farmout in 1990 from Occidental International Exploration and Production Co. for Block SC-38 in the South China Sea off Palawan, Philippines, following Oxy's discovery of gas in 1989 in a Miocene Nido limestone buildup. Under the terms of the farmout agreement, Shell became operator with a 50% share. Following the disappointing well North Iloc 1, Shell was successful in finding oil and gas in Malampaya 1. Water 700-1,000 m deep, remoteness, and adverse weather conditions have imposed major challenges for offshore operations. The paper describes the tectonic setting; the Nido limestone play; the Malampaya discovery; and Shell's appraisal studies.

  10. Discovery of a transiting planet near the snow-line

    SciTech Connect (OSTI)

    Kipping, D. M.; Torres, G.; Buchhave, L. A.; Kenyon, S. J. [Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138 (United States); Henze, C.; Bryson, S. T. [NASA Ames Research Center, Moffett Field, CA 94035 (United States); Isaacson, H.; Kolbl, R.; Marcy, G. W. [University of California, Berkeley, CA 94720 (United States); Stassun, K. [Department of Physics and Astronomy, Vanderbilt University, 1807 Station B, Nashville, TN 37235 (United States); Bastien, F., E-mail: dkipping@cfa.harvard.edu [Physics Department, Fisk University, 1000 17th Ave. N, Nashville, TN 37208 (United States)

    2014-11-01

    In most theories of planet formation, the snow-line represents a boundary between the emergence of the interior rocky planets and the exterior ice giants. The wide separation of the snow-line makes the discovery of transiting worlds challenging, yet transits would allow for detailed subsequent characterization. We present the discovery of Kepler-421b, a Uranus-sized exoplanet transiting a G9/K0 dwarf once every 704.2 days in a near-circular orbit. Using public Kepler photometry, we demonstrate that the two observed transits can be uniquely attributed to the 704.2 day period. Detailed light curve analysis with BLENDER validates the planetary nature of Kepler-421b to >4? confidence. Kepler-421b receives the same insolation as a body at ?2 AU in the solar system, as well as a Uranian albedo, which would have an effective temperature of ?180 K. Using a time-dependent model for the protoplanetary disk, we estimate that Kepler-421b's present semi-major axis was beyond the snow-line after ?3 Myr, indicating that Kepler-421b may have formed at its observed location.

  11. Magnetic nanoparticle temperature estimation

    SciTech Connect (OSTI)

    Weaver, John B.; Rauwerdink, Adam M.; Hansen, Eric W.

    2009-05-15

    The authors present a method of measuring the temperature of magnetic nanoparticles that can be adapted to provide in vivo temperature maps. Many of the minimally invasive therapies that promise to reduce health care costs and improve patient outcomes heat tissue to very specific temperatures to be effective. Measurements are required because physiological cooling, primarily blood flow, makes the temperature difficult to predict a priori. The ratio of the fifth and third harmonics of the magnetization generated by magnetic nanoparticles in a sinusoidal field is used to generate a calibration curve and to subsequently estimate the temperature. The calibration curve is obtained by varying the amplitude of the sinusoidal field. The temperature can then be estimated from any subsequent measurement of the ratio. The accuracy was 0.3 deg. K between 20 and 50 deg. C using the current apparatus and half-second measurements. The method is independent of nanoparticle concentration and nanoparticle size distribution.

  12. Bioenergy Knowledge Discovery Framework (KDF) Fact Sheet

    SciTech Connect (OSTI)

    2013-07-29

    The Bioenergy Knowledge Discovery Framework (KDF) is an online collaboration and geospatial analysis tool that allows researchers, policymakers, and investors to explore and engage the latest bioenergy research. This publication describes how the KDF harnesses Web 2.0 and social networking technologies to build a collective knowledge system that facilitates collaborative production, integration, and analysis of bioenergy-related information.

  13. Unraveling the Higgs Boson Discovery - Rik Yoshida

    SciTech Connect (OSTI)

    Rik Yoshida

    2012-10-02

    Argonne physicist Rik Yoshida explains what the Higgs boson is and what its discovery means for physics, the universe, and life. The third of Argonne's "OutLoud" public lecture series, held at the lab on September 27, 2012. Find out when the next one is at http://www.anl.gov/community/outloud

  14. Unraveling the Higgs Boson Discovery - Rik Yoshida

    ScienceCinema (OSTI)

    Rik Yoshida

    2013-06-06

    Argonne physicist Rik Yoshida explains what the Higgs boson is and what its discovery means for physics, the universe, and life. The third of Argonne's "OutLoud" public lecture series, held at the lab on September 27, 2012. Find out when the next one is at http://www.anl.gov/community/outloud

  15. ARM - Evaluation Product - Radiatively Important Parameters Best Estimate

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    (RIPBE) ProductsRadiatively Important Parameters Best Estimate (RIPBE) ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Radiatively Important Parameters Best Estimate (RIPBE) The Radiatively Important Parameters Best Estimate (RIPBE) VAP combines multiple input datastreams, each with their own temporal

  16. U.S. Natural Gas, Wet After Lease Separation New Reservoir Discoveries in

    U.S. Energy Information Administration (EIA) Indexed Site

    Old Fields (Billion Cubic Feet) New Reservoir Discoveries in Old Fields (Billion Cubic Feet) U.S. Natural Gas, Wet After Lease Separation New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,637 1980's 2,648 3,080 3,520 3,071 2,778 3,053 1,855 1,556 1,979 2,313 1990's 2,492 1,655 1,773 1,930 3,606 2,518 3,209 2,455 2,240 2,265 2000's 2,463 2,898 1,752 1,653 1,244 1,243 1,197 1,244 1,678 2,656 2010's

  17. Geothermal Discovery Offers Hope for More Potential Across the...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Discovery Offers Hope for More Potential Across the Country Geothermal Discovery Offers Hope for More Potential Across the Country October 17, 2012 - 12:50pm Addthis The solution...

  18. Lab Discovery: Water Leads to Chemical that "Gunks Up" Biofuels...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Lab Discovery: Water Leads to Chemical that "Gunks Up" Biofuels Production November 20, 2014 - 12:16pm Addthis In this episode of 90 Seconds of Discovery, Catalysis Scientist ...

  19. Discovery sheds light on nuclear reactor fuel behavior during...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Discovery sheds light on nuclear reactor fuel behavior during a severe event By Angela Hardin * November 20, 2014 Tweet EmailPrint A new discovery about the atomic structure of...

  20. The Discovery of the Top Quark

    DOE R&D Accomplishments [OSTI]

    Sinervo, P.K.

    1995-12-01

    The top quark and the Higgs boson are the heaviest elementary particles predicted by the standard model. The four lightest quark flavours, the up, down, strange and charm quarks, were well-established by the mid-1970's. The discovery in 1977 of the {Tau} resonances, a new family of massive hadrons, required the introduction of the fifth quark flavour. Experimental and theoretical studies have indicated that this quark also has a heavier partner, the top quark.

  1. DISCOVERY AND CHARACTERIZATION OF A FAINT STELLAR COMPANION TO THE A3V STAR zeta VIRGINIS

    SciTech Connect (OSTI)

    Hinkley, Sasha; Hillenbrand, Lynne; Oppenheimer, Ben R.; Brenner, Douglas; Zimmerman, Neil; Sivaramakrishnan, Anand; Roberts, Lewis C.; Roberts, Jennifer E.; Burruss, Rick; Shao, Michael; Vasisht, Gautam; Parry, Ian R.; King, David L.; Soummer, Remi; Simon, Michal; Perrin, Marshall D.; Lloyd, James P.; Bouchez, Antonin; Dekany, Richard; Beichman, Charles

    2010-03-20

    Through the combination of high-order adaptive optics and coronagraphy, we report the discovery of a faint stellar companion to the A3V star zeta Virginis. This companion is {approx}7 mag fainter than its host star in the H band, and infrared imaging spanning 4.75 years over five epochs indicates this companion has common proper motion with its host star. Using evolutionary models, we estimate its mass to be 0.168{sup +0.012}{sub -0.016} M{sub sun}, giving a mass ratio for this system q = 0.082{sup +0.007}{sub -0.008}. Assuming the two objects are coeval, this mass suggests an M4V-M7V spectral type for the companion, which is confirmed through {integral} field spectroscopic measurements. We see clear evidence for orbital motion from this companion and are able to constrain the semimajor axis to be {approx}>24.9 AU, the period {approx}>124 yr, and eccentricity {approx}>0.16. Multiplicity studies of higher mass stars are relatively rare, and binary companions such as this one at the extreme low end of the mass ratio distribution are useful additions to surveys incomplete at such a low mass ratio. Moreover, the frequency of binary companions can help to discriminate between binary formation scenarios that predict an abundance of low-mass companions forming from the early fragmentation of a massive circumstellar disk. A system such as this may provide insight into the anomalous X-ray emission from A stars, hypothesized to be from unseen late-type stellar companions. Indeed, we calculate that the presence of this M-dwarf companion easily accounts for the X-ray emission from this star detected by ROSAT.

  2. THE SUBARU HIGH-z QUASAR SURVEY: DISCOVERY OF FAINT z ? 6 QUASARS

    SciTech Connect (OSTI)

    Kashikawa, Nobunari; Furusawa, Hisanori; Niino, Yuu [Optical and Infrared Astronomy Division, National Astronomical Observatory, Mitaka, Tokyo 181-8588 (Japan); Ishizaki, Yoshifumi; Onoue, Masafusa; Toshikawa, Jun; Ishikawa, Shogo [Department of Astronomy, School of Science, Graduate University for Advanced Studies, Mitaka, Tokyo 181-8588 (Japan); Willott, Chris J. [Herzberg Institute of Astrophysics, National Research Council, 5071 West Saanich Road, Victoria, BC V9E 2E7 (Canada); Im, Myungshin [Center for the Exploration of the Origin of the Universe (CEOU), Astronomy Program, Department of Physics and Astronomy, Seoul National University, 1 Gwanak-rho, Gwanak-gu, Seoul 151-742 (Korea, Republic of); Shimasaku, Kazuhiro [Department of Astronomy, University of Tokyo, Hongo, Tokyo 113-0033 (Japan); Ouchi, Masami [Institute for Cosmic Ray Research, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8582 (Japan); Hibon, Pascale, E-mail: n.kashikawa@nao.ac.jp [Gemini Observatory, La Serena (Chile)

    2015-01-01

    We present the discovery of one or two extremely faint z ? 6 quasars in 6.5 deg{sup 2} utilizing a unique capability of the wide-field imaging of the Subaru/Suprime-Cam. The quasar selection was made in (i'-z{sub B} ) and (z{sub B} -z{sub R} ) colors, where z{sub B} and z{sub R} are bandpasses with central wavelengths of 8842 and 9841 , respectively. The color selection can effectively isolate quasars at z ? 6 from M/L/T dwarfs without the J-band photometry down to z{sub R} < 24.0, which is 3.5 mag deeper than the Sloan Digital Sky Survey (SDSS). We have selected 17 promising quasar candidates. The follow-up spectroscopy for seven targets identified one apparent quasar at z = 6.156 with M {sub 1450} = 23.10. We also identified one possible quasar at z = 6.041 with a faint continuum of M {sub 1450} = 22.58 and a narrow Ly? emission with HWHM =427 km s{sup 1}, which cannot be distinguished from Lyman ? emitters. We derive the quasar luminosity function at z ? 6 by combining our faint quasar sample with the bright quasar samples by SDSS and CFHQS. Including our data points invokes a higher number density in the faintest bin of the quasar luminosity function than the previous estimate employed. This suggests a steeper faint-end slope than lower z, though it is yet uncertain based on a small number of spectroscopically identified faint quasars, and several quasar candidates still remain to be diagnosed. The steepening of the quasar luminosity function at the faint end does increase the expected emission rate of the ionizing photon; however, it only changes by a factor of approximately two to six. This was found to still be insufficient for the required photon budget of reionization at z ? 6.

  3. RAPID/Geothermal/Well Field/Utah | Open Energy Information

    Open Energy Info (EERE)

    an operating unit and have like characteristics. Local Well Field Process not available Policies & Regulations UAC Rule R655-1 Wells Used for the Discovery and Production of...

  4. DISCOVERY OF AN ULTRAMASSIVE PULSATING WHITE DWARF

    SciTech Connect (OSTI)

    Hermes, J. J.; Castanheira, Barbara G.; Winget, D. E.; Montgomery, M. H.; Harrold, Samuel T.; Kepler, S. O.; Gianninas, A.; Brown, Warren R.

    2013-07-01

    We announce the discovery of the most massive pulsating hydrogen-atmosphere white dwarf (WD) ever discovered, GD 518. Model atmosphere fits to the optical spectrum of this star show it is a 12, 030 {+-} 210 K WD with a log g =9.08 {+-} 0.06, which corresponds to a mass of 1.20 {+-} 0.03 M{sub Sun }. Stellar evolution models indicate that the progenitor of such a high-mass WD endured a stable carbon-burning phase, producing an oxygen-neon-core WD. The discovery of pulsations in GD 518 thus offers the first opportunity to probe the interior of a WD with a possible oxygen-neon core. Such a massive WD should also be significantly crystallized at this temperature. The star exhibits multi-periodic luminosity variations at timescales ranging from roughly 425 to 595 s and amplitudes up to 0.7%, consistent in period and amplitude with the observed variability of typical ZZ Ceti stars, which exhibit non-radial g-mode pulsations driven by a hydrogen partial ionization zone. Successfully unraveling both the total mass and core composition of GD 518 provides a unique opportunity to investigate intermediate-mass stellar evolution, and can possibly place an upper limit to the mass of a carbon-oxygen-core WD, which in turn constrains Type Ia supernovae progenitor systems.

  5. ARM - Field Campaign - Precision Gas Sampling (PGS) Validation Field

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Campaign govCampaignsPrecision Gas Sampling (PGS) Validation Field Campaign ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Precision Gas Sampling (PGS) Validation Field Campaign 2001.07.11 - 2001.07.25 Lead Scientist : Marc Fischer Data Availability Data are being processed for inclusion in ARM Archive. For data sets, see below. Summary July, 2001: Three systems were deployed in four fields during a

  6. Data Science and Optimal Learning for Material Discovery and Design

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Data Science & Optimal Learning for Material Discovery & Design Data Science and Optimal Learning for Material Discovery and Design WHEN: May 16, 2016 8:00 AM - May 18, 2016 5:00 PM WHERE: Hilton Santa Fe CONTACT: Karla Jackson (505) 667-5336 CATEGORY: Community Science TYPE: Conference INTERNAL: Calendar Login Event Description Accelerating materials discovery has been an emerging theme in several Office of Science and other government reports and proposal calls. It also has been the

  7. Single, Key Gene Discovery Could Streamline Production of Biofuels |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Single, Key Gene Discovery Could Streamline Production of Biofuels Single, Key Gene Discovery Could Streamline Production of Biofuels August 11, 2011 - 3:51pm Addthis WASHINGTON, DC -- A team of researchers at the Department of Energy's BioEnergy Science Center (BESC) have pinpointed the exact, single gene that controls ethanol production capacity in a microorganism. This discovery could be the missing link in developing biomass crops that produce higher concentrations

  8. Machine learning accelerates the discovery of new materials

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Machine learning accelerates the discovery of new materials Machine learning accelerates the discovery of new materials Researchers recently demonstrated how an informatics-based adaptive design strategy, tightly coupled to experiments, can accelerate the discovery of new materials with targeted properties. May 9, 2016 Adaptive design framework. Adaptive design framework. Contact Nancy Ambrosiano Communications Office (505) 667-0471 Email "What we've done is show that, starting with a

  9. Electrochemical Discovery Laboratory - Joint Center for Energy Storage

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Research Electrochemical Discovery Laboratory The Electrochemical Discovery Laboratory (EDL)-a key JCESR discovery tool located at Argonne-synthesizes high-quality materials for testing in beyond-lithium-ion batteries and characterizes their properties with state-of-the-art analytical techniques. These techniques include structural, compositional, and trace analysis probes with the goal of understanding, at atomic and molecular levels, the chemical transformations that occur during battery

  10. 2006 Department of Energy Strategic Plan - Scientific Discovery and

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Innovation | Department of Energy Plan - Scientific Discovery and Innovation 2006 Department of Energy Strategic Plan - Scientific Discovery and Innovation The United States has always been a Nation of innovators and the Department of Energy has been a major contributor to that legacy. DOE-supported basic research has produced Nobel Laureates, numerous paradigm-shifting scientific discoveries, and revolutionary technologies that have spawned entirely new industries. Such breakthroughs have

  11. Quantum Field Theory & Gravity

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Quantum Field Theory & Gravity Quantum Field Theory & Gravity Understanding discoveries at the Energy, Intensity, and Cosmic Frontiers Get Expertise Rajan Gupta (505) 667-7664 Email Bruce Carlsten (505) 667-5657 Email Quantum Field Theory and Gravity at Los Alamos The HEP effort at Los Alamos in this area is actively pursing a number of questions in this area. What is the final state of complete gravitational collapse? What happens at the event horizon? What is dark energy? How did the

  12. Discovery of novel hydrogen storage materials: an atomic scale...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Discovery of novel hydrogen storage materials: an atomic scale computational approach Home Author: C. Wolverton, D. J. Siegel, A. R. Akbarzadeh, V. Ozolins Year: 2008 Abstract:...

  13. ADVANCES IN HYDROGEOCHEMICAL INDICATORS FOR THE DISCOVERY OF...

    Office of Scientific and Technical Information (OSTI)

    OF NEW GEOTHERMAL RESOURCES IN THE GREAT BASIN, USA Citation Details In-Document Search Title: ADVANCES IN HYDROGEOCHEMICAL INDICATORS FOR THE DISCOVERY OF NEW GEOTHERMAL ...

  14. Discovery of the Transuranium Elements (LBNL Summer Lecture Series)

    ScienceCinema (OSTI)

    Hoffman, Darleane

    2011-04-28

    Summer Lecture Series 2006: Darleane Hoffman, a Berkeley Lab nuclear chemist, chronicles the discovery of the heaviest elements ? those much heavier than uranium and plutonium.

  15. Discovery-Spring Garden, Maryland: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Discovery-Spring Garden, Maryland: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.4614398, -77.358284 Show Map Loading map......

  16. Discovery of functional toxin/antitoxin systems in bacteria by...

    Office of Scientific and Technical Information (OSTI)

    ...antitoxin systems in bacteria by shotgun cloning Citation Details In-Document Search Title: Discovery of functional toxinantitoxin systems in bacteria by shotgun cloning ...

  17. Discovery of the Fundamental Mechanism of Action of Resveratrol...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Discovery of the Fundamental Mechanism of Action of Resveratrol Thursday, May 28, 2015 Resveratrol is reported to extend lifespan and provide cardio-neuro-protective, ...

  18. Stories of Discovery & Innovation: A Step Toward Artificial Photosynth...

    Office of Science (SC) Website

    This work, featured in the Office of Science's Stories of Discovery & Innovation, was supported by the Photosynthetic Antenna Research Center (PARC), an EFRC led by Robert ...

  19. New design strategy reduces time and cost of material discovery

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    New design strategy New design strategy reduces time and cost of material discovery Iteratively guiding experiments toward finding materials with the desired target properties May ...

  20. A General Strategy for the Discovery of Metabolic Pathways: d...

    Office of Scientific and Technical Information (OSTI)

    Title: A General Strategy for the Discovery of Metabolic Pathways: d-Threitol, l-Threitol, and Erythritol Utilization in Mycobacterium smegmatis Authors: Huang, Hua ; Carter, ...

  1. Rapid discovery and functional characterization of terpene synthases...

    Office of Scientific and Technical Information (OSTI)

    Title: Rapid discovery and functional characterization of terpene synthases from four endophytic xylariaceae Endophytic fungi are ubiquitous plant endosymbionts that establish ...

  2. Materials Design and Discovery: Catalysis and Energy Storage...

    Office of Scientific and Technical Information (OSTI)

    Materials Design and Discovery: Catalysis and Energy Storage (Mira Early Science Program Final Technical Report): ALCF-2 Early Science Program Technical Report Citation Details ...

  3. Discovery and Preclinical Characterization of theCyclopropylindoloben...

    Office of Scientific and Technical Information (OSTI)

    clopropylindolobenzazepine BMS-791325, A Potent Allosteric Inhibitor of the Hepatitis C Virus NS5B Polymerase Citation Details In-Document Search Title: Discovery and Preclinical...

  4. Discovery of bridgmanite, the most abundant mineral in Earth...

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Search Results Journal Article: Discovery of bridgmanite, the most abundant mineral in Earth, in a shocked meteorite Citation Details In-Document Search Title: ...

  5. Stories of Discovery & Innovation: From Human Genome to Materials...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    From Human Genome to Materials "Genome" Energy Frontier Research Centers (EFRCs) EFRCs ... Stories of Discovery & Innovation: From Human Genome to Materials "Genome" Print Text ...

  6. A MULTI-SURVEY APPROACH TO WHITE DWARF DISCOVERY

    SciTech Connect (OSTI)

    Sayres, Conor; Davenport, James R. A.; AlSayyad, Yusra; Tofflemire, Benjamin M.; Subasavage, John P.; Bergeron, P.; Dufour, P.

    2012-04-15

    By selecting astrometric and photometric data from the Sloan Digital Sky Survey (SDSS), the Lepine and Shara Proper Motion North Catalog (LSPM-North), the Two Micron All Sky Survey (2MASS), and the USNO-B1.0 catalog, we use a succession of methods to isolate white dwarf (WD) candidates for follow-up spectroscopy. Our methods include reduced proper motion diagram cuts, color cuts, and atmospheric model adherence. We present spectroscopy of 26 WDs obtained from the CTIO 4 m and APO 3.5 m telescopes. Additionally, we confirm 28 WDs with spectra available in the SDSS DR7 database but unpublished elsewhere, presenting a total of 54 WDs. We label one of these as a recovered WD while the remaining 53 are new discoveries. We determine physical parameters and estimate distances based on atmospheric model analyses. Three new WDs are modeled to lie within 25 pc. Two additional WDs are confirmed to be metal-polluted (DAZ). Follow-up time series photometry confirms another object to be a pulsating ZZ Ceti WD.

  7. Delta: the First Pion Nucleon Resonance - Its Discovery and Applications

    DOE R&D Accomplishments [OSTI]

    Nagle, D. E.

    1984-07-01

    It is attempted to recapture some of the fun and excitement of the pion-scattering work that led to the discovery of what is now called the delta particle. How significant this discovery was became apparent only gradually. That the delta is alive today and thriving at Los Alamos (as well as other places) is described.

  8. MICROLENSING DISCOVERY OF A POPULATION OF VERY TIGHT, VERY LOW MASS BINARY BROWN DWARFS

    SciTech Connect (OSTI)

    Choi, J.-Y.; Han, C.; Udalski, A.; Sumi, T.; Gaudi, B. S.; Gould, A.; Bennett, D. P.; Dominik, M.; Beaulieu, J.-P.; Tsapras, Y.; Bozza, V.; Abe, F.; Furusawa, K.; Itow, Y.; Bond, I. A.; Ling, C. H.; Botzler, C. S.; Freeman, M.; Chote, P.; Fukui, A.; Collaboration: MOA Collaboration; OGLE Collaboration; muFUN Collaboration; MiNDSTEp Consortium; PLANET Collaboration; RoboNet Collaboration; and others

    2013-05-10

    Although many models have been proposed, the physical mechanisms responsible for the formation of low-mass brown dwarfs (BDs) are poorly understood. The multiplicity properties and minimum mass of the BD mass function provide critical empirical diagnostics of these mechanisms. We present the discovery via gravitational microlensing of two very low mass, very tight binary systems. These binaries have directly and precisely measured total system masses of 0.025 M{sub Sun} and 0.034 M{sub Sun }, and projected separations of 0.31 AU and 0.19 AU, making them the lowest-mass and tightest field BD binaries known. The discovery of a population of such binaries indicates that BD binaries can robustly form at least down to masses of {approx}0.02 M{sub Sun }. Future microlensing surveys will measure a mass-selected sample of BD binary systems, which can then be directly compared to similar samples of stellar binaries.

  9. Systems and methods for knowledge discovery in spatial data

    DOE Patents [OSTI]

    Obradovic, Zoran; Fiez, Timothy E.; Vucetic, Slobodan; Lazarevic, Aleksandar; Pokrajac, Dragoljub; Hoskinson, Reed L.

    2005-03-08

    Systems and methods are provided for knowledge discovery in spatial data as well as to systems and methods for optimizing recipes used in spatial environments such as may be found in precision agriculture. A spatial data analysis and modeling module is provided which allows users to interactively and flexibly analyze and mine spatial data. The spatial data analysis and modeling module applies spatial data mining algorithms through a number of steps. The data loading and generation module obtains or generates spatial data and allows for basic partitioning. The inspection module provides basic statistical analysis. The preprocessing module smoothes and cleans the data and allows for basic manipulation of the data. The partitioning module provides for more advanced data partitioning. The prediction module applies regression and classification algorithms on the spatial data. The integration module enhances prediction methods by combining and integrating models. The recommendation module provides the user with site-specific recommendations as to how to optimize a recipe for a spatial environment such as a fertilizer recipe for an agricultural field.

  10. X-RAY DISCOVERY OF A DWARF-GALAXY-GALAXY COLLISION

    SciTech Connect (OSTI)

    Garmire, Gordon P.

    2013-06-10

    We report the discovery of a probable dwarf galaxy colliding with NGC 1232. This collision is visible only in the X-ray spectral band, and it is creating a region of shocked gas with a temperature of 5.8 MK covering an impact area 7.25 kpc in diameter. The X-ray luminosity is 3.7 Multiplication-Sign 10{sup 38} erg s{sup -1}. The long lifetime of this gas against radiative and adiabatic cooling should permit the use of the luminous afterglow from such collisions to be used as a way of estimating their importance in galaxy evolution.

  11. ARM - Field Campaign - Precision Gas Sampling (PGS) Validation Field

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Campaign govCampaignsPrecision Gas Sampling (PGS) Validation Field Campaign ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Precision Gas Sampling (PGS) Validation Field Campaign 2004.04.15 - 2004.12.15 Lead Scientist : Marc Fischer For data sets, see below. Abstract Accurate prediction of the regional responses of CO2 flux to changing climate, land use, and management requires models that are

  12. ARM - Field Campaign - Precision Gas Sampling (PGS) Validation Field

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Campaign govCampaignsPrecision Gas Sampling (PGS) Validation Field Campaign ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Precision Gas Sampling (PGS) Validation Field Campaign 2005.03.01 - 2006.01.08 Lead Scientist : Marc Fischer For data sets, see below. Abstract Accurate prediction of the regional responses of CO2 flux to changing climate, land use, and management requires models that are

  13. ARM - Field Campaign - Precision Gas Sampling (PGS) Validation Field

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Campaign govCampaignsPrecision Gas Sampling (PGS) Validation Field Campaign ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Precision Gas Sampling (PGS) Validation Field Campaign 2007.01.01 - 2007.12.31 Lead Scientist : Marc Fischer For data sets, see below. Abstract Accurate prediction of the regional responses of CO2 flux to changing climate, land use, and management requires models that are

  14. ARM - Field Campaign - Precision Gas Sampling (PGS) Validation Field

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Campaign govCampaignsPrecision Gas Sampling (PGS) Validation Field Campaign ARM Data Discovery Browse Data Related Campaigns PGS Validation 2011-2013 2011.03.01, Fischer, SGP PGS Validatation 2010 2010.03.01, Fischer, SGP PGS Validatation 2009.03.01, Fischer, SGP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Precision Gas Sampling (PGS) Validation Field Campaign 2008.01.01 - 2008.12.31 Lead Scientist : Marc Fischer For data sets,

  15. PHENIX: Beyond 15 years of discovery

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Morrison, David; Nagle, James L.

    2015-01-12

    The PHENIX experiment at BNL’s Relativistic Heavy Ion Collider (RHIC) was designed to uncover properties of the quark–gluon plasma (QGP) via rare penetrating probes. Over the past 15 years, the collaboration has delivered on its promised measurements, often with exciting results beyond those originally foreseen. That the QGP behaves as a nearly perfect fluid and that non-photonic electrons are substantially suppressed has led to the use of heavy quarks as probes of the medium. The PHENIX silicon vertex detectors are opening a new arena for QGP studies, and the MPC-EX, a novel forward calorimeter with silicon readout, accesses low-x physicsmore » via direct photons with unprecedented precision. PHENIX has proposed sPHENIX, a major upgrade using the recently acquired BaBar solenoid and full calorimetric coverage and high rate capabilities. sPHENIX will reconstruct jets and extend observables to higher transverse momentum, where comparisons to results from the Large Hadron Collider (LHC) heavy-ion program will provide the most insightful. Following the RHIC program, the nuclear physics community has identified an electron ion collider (EIC) as crucial to the next generation of QCD investigations. The BaBar magnet and sPHENIX calorimetry will be an excellent foundation for a new collaborative pursuit of discovery.« less

  16. PHENIX: Beyond 15 years of discovery

    SciTech Connect (OSTI)

    Morrison, David; Nagle, James L.

    2015-01-12

    The PHENIX experiment at BNL’s Relativistic Heavy Ion Collider (RHIC) was designed to uncover properties of the quark–gluon plasma (QGP) via rare penetrating probes. Over the past 15 years, the collaboration has delivered on its promised measurements, often with exciting results beyond those originally foreseen. That the QGP behaves as a nearly perfect fluid and that non-photonic electrons are substantially suppressed has led to the use of heavy quarks as probes of the medium. The PHENIX silicon vertex detectors are opening a new arena for QGP studies, and the MPC-EX, a novel forward calorimeter with silicon readout, accesses low-x physics via direct photons with unprecedented precision. PHENIX has proposed sPHENIX, a major upgrade using the recently acquired BaBar solenoid and full calorimetric coverage and high rate capabilities. sPHENIX will reconstruct jets and extend observables to higher transverse momentum, where comparisons to results from the Large Hadron Collider (LHC) heavy-ion program will provide the most insightful. Following the RHIC program, the nuclear physics community has identified an electron ion collider (EIC) as crucial to the next generation of QCD investigations. The BaBar magnet and sPHENIX calorimetry will be an excellent foundation for a new collaborative pursuit of discovery.

  17. Power, Optimization, Waste Estimating, Resourcing Tool

    Energy Science and Technology Software Center (OSTI)

    2009-08-13

    Planning, Optimization, Waste Estimating, Resourcing tool (POWERtool) is a comprehensive relational database software tool that can be used to develop and organize a detailed project scope, plan work tasks, develop bottoms-up field cost and waste estimates for facility Deactivation and Decommissioning (D&D), equipment, and environmental restoration (ER) projects and produces resource-loaded schedules.

  18. HISTORY OF THE ORIGIN OF THE CHEMICAL ELEMENTS AND THEIR DISCOVERIES...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The claim of discovery of an element has varied over the centuries. Many claims, e.g., the discovery of certain rare earth elements of the lanthanide series, involved the discovery ...

  19. Cost Estimation Package

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    This chapter focuses on the components (or elements) of the cost estimation package and their documentation.

  20. Discovery of a 〈210〉-fiber texture in medical-grade metastable...

    Office of Scientific and Technical Information (OSTI)

    Discovery of a 210-fiber texture in medical-grade metastable beta titanium wire This content will become publicly available on May 4, 2017 Title: Discovery of a ...

  1. Global Discovery introduced at AAAS 2006 | OSTI, US Dept of Energy...

    Office of Scientific and Technical Information (OSTI)

    OSTI is conducting applied research on a number of challenges related to this vision aimed at turning local discovery into Global Discovery. The benefits for researchers, for ...

  2. Search Method for Real-time Knowledge Discovery Modeled on the...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Search Method for Real-time Knowledge Discovery Modeled on the Human Brain Oak Ridge ... information processing properties of the human brain to computational knowledge discovery. ...

  3. Growth and Discovery of Novel Materials | The Ames Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Growth and Discovery of Novel Materials During this SULI program the student will learn how to grow single crystals of novel intermetallic compounds as part of the on-going Ames...

  4. Dark matter: the next great discovery of particle physics?: Ettore...

    Office of Scientific and Technical Information (OSTI)

    to these remaining questions are being pursued on all frontiers of discovery. In this talk, I will provide an overview of the suite of experiments that is colloquially known as...

  5. Pantex night held at discovery center | National Nuclear Security...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    event featured an exhibit on the extinct Megalodon shark as well as a mummy in the Lost Egypt exhibit. B&W Pantex sponsored the shark exhibit. Pantex night held at discovery center...

  6. Robert Curl, Jr. and the Discovery of Fullerenes

    Office of Scientific and Technical Information (OSTI)

    Tommy LaVergne Rice University The 1996 Nobel Prize in Chemistry was awarded to Robert F. Curl, Jr., Richard E. Smalley and Sir Harold Kroto 'for their 1985 discovery of...

  7. SAMDI Mass Spectrometry for High Throughput Discovery of Enzyme...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    SAMDI Mass Spectrometry for High Throughput Discovery of Enzyme Function January 15, 2016 11:00AM to 12:00PM Presenter Milan Mrksich, Northwestern University Location Building 446,...

  8. Stories of Discovery and Innovation: Could Cheaper Gasoline be...

    Office of Science (SC) Website

    This work, featured in the Office of Science's Stories of Discovery & Innovation, was supported by the Catalysis Center for Energy Innovation (CCEI), an EFRC led by Dion Vlachos at ...

  9. DOE-Led Research Team Makes Significant Rare Earth Discovery...

    Office of Environmental Management (EM)

    DOE-Led Research Team Makes Significant Rare Earth Discovery DOE-Led Research Team Makes ... Energy (DOE) has found that rare earth elements (REEs) can be removed from two U.S. ...

  10. Stories of Discovery & Innovation: More Heat than Light? | U...

    Office of Science (SC) Website

    This work, featured in the Office of Science's Stories of Discovery & Innovation, was supported by the Solid-State Solar-Thermal Energy Conversion Center (S3TEC), an EFRC led by ...

  11. Role of Modeling and Simulation in Scientific Discovery

    Broader source: Energy.gov [DOE]

    Scientific discovery, or understanding, involves the formulation of theory to explain observed phenomena, the design and execution of experiments to test theory and the feedback of experimental results to evolve theory.

  12. DISCOVERY AND CHARACTERIZATION OF AN EXTREMELY DEEP-ECLIPSING...

    Office of Scientific and Technical Information (OSTI)

    We report the discovery of an eclipsing cataclysmic variable with eclipse depths >5.7 mag, ... The optical light curves show a deep, 5-minute eclipse immediately followed by a shallow ...

  13. ORNL, partners officially recognized for discovery of elements 115, 117

    ScienceCinema (OSTI)

    Roberto, Jim

    2016-01-15

    The International Union for Pure and Applied Chemistry has announced formal verification of four new chemical elements, recognizing the Department of Energy?s Oak Ridge National Laboratory and its collaborators for the discovery of elements 115 and 117.

  14. Similarity-Driven Discovery of Zeolite Materials for Adsorption...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Similarity-Driven Discovery of Zeolite Materials for Adsorption-Based Separations Previous Next List Richard L. Martin, Thomas F. Willems, Li-Chiang Lin, Jihan Kim, Joseph A....

  15. Role of Modeling and Simulation in Scientific Discovery | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    method. Addthis Related Articles The ability to do 3D, large-scale simulations of supernovae, such as above, led to the discovery of an entirely new and unexpected explosion...

  16. DOE Isotope Program Provides Target Material for the Discovery...

    Office of Science (SC) Website

    Discovery of Superheavy Elements Basic Energy Sciences (BES) BES Home About Research ... Enlarge Photo Image courtesy of source The green dot at the bottom of the glass vial is ...

  17. NERSC Played Key Role in Nobel Laureate's Discovery

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NERSC Played Key Role in Nobel Laureate's Discovery NERSC Played Key Role in Nobel Laureate's Discovery NERSC, Berkeley Lab Now Centers for Computational Cosmology Community October 4, 2011 Contact: Jon Bashor, jbashor@lbl.gov, +1 510 486 5849 In the 1990s, Saul Perlmutter discovered that the universe is expanding at an accelerating rate. He confirmed his observational conclusions by running thousands of simulations at the National Energy Research Scientific Computing Center (NERSC) at Lawrence

  18. What Are the Computational Keys to Future Scientific Discoveries?

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    What are the Computational Keys to Future Scientific Discoveries? What Are the Computational Keys to Future Scientific Discoveries? NERSC Develops a Data Intensive Pilot Program to Help Scientists Find Out August 23, 2012 Linda Vu,lvu@lbl.gov, +1 510 495 2402 ALS.jpg Advanced Light Source at the Lawrence Berkeley National Laboratory. (Photo by: Roy Kaltschmidt, Berkeley Lab) A new camera at the hard x-ray tomography beamline of Lawrence Berkeley National Laboratory's (Berkeley Lab's) Advanced

  19. Flow cytometry aids basic cell biology research and drug discovery

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Flow cytometry aids basic cell biology research and drug discovery Flow cytometry aids basic cell biology research and drug discovery Life Technologies Corporation and LANL have released the Attune® Acoustic Focusing Cytometer, featuring a reduced footprint, reduced consumables, and an affordable price. April 3, 2012 Attune® Acoustic Focusing Cytometer The Attune® Acoustic Focusing Cytometer achieves sample throughput at rates over 10 times faster than other cytometers-up to 1,000 μL per

  20. Tools for Discovery Offer Potential Hope for Huntington's | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Tools for Discovery Offer Potential Hope for Huntington's Tools for Discovery Offer Potential Hope for Huntington's May 25, 2011 - 3:24pm Addthis Flora Meilleur prepares protein solutions for structural investigation with neutrons. | Courtesy of ORNL Flickr / Jason Richards Flora Meilleur prepares protein solutions for structural investigation with neutrons. | Courtesy of ORNL Flickr / Jason Richards Charles Rousseaux Charles Rousseaux Senior Communications Specialist (detailee) What

  1. Discoveries | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Discoveries Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) Community Resources Program Summaries Brochures Reports Accomplishments Discoveries Nobel Prizes Vignettes Archives Presentations BES and Congress Science for Energy Flow Seeing Matter Nano for Energy Scale of Things Chart Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building

  2. Bioenergy Knowledge Discovery Framework Recognized at National Conference |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Knowledge Discovery Framework Recognized at National Conference Bioenergy Knowledge Discovery Framework Recognized at National Conference December 17, 2014 - 4:14pm Addthis The paper and poster presentation "Bioenergy KDF: Enabling Spatiotemporal Data Synthesis and Research Collaboration" was awarded second place for best paper at the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, held November 4-7 in Dallas, Texas. It

  3. ADVANCES IN HYDROGEOCHEMICAL INDICATORS FOR THE DISCOVERY OF NEW GEOTHERMAL

    Office of Scientific and Technical Information (OSTI)

    RESOURCES IN THE GREAT BASIN, USA (Technical Report) | SciTech Connect ADVANCES IN HYDROGEOCHEMICAL INDICATORS FOR THE DISCOVERY OF NEW GEOTHERMAL RESOURCES IN THE GREAT BASIN, USA Citation Details In-Document Search Title: ADVANCES IN HYDROGEOCHEMICAL INDICATORS FOR THE DISCOVERY OF NEW GEOTHERMAL RESOURCES IN THE GREAT BASIN, USA This report summarizes the results of Phase I work for a go/no go decision on Phase II funding. In the first objective, we assessed the extent to which

  4. National Geothermal Data System: Transforming the Discovery, Access, and

    Office of Scientific and Technical Information (OSTI)

    Analytics of Data for Geothermal Exploration (Conference) | SciTech Connect Conference: National Geothermal Data System: Transforming the Discovery, Access, and Analytics of Data for Geothermal Exploration Citation Details In-Document Search Title: National Geothermal Data System: Transforming the Discovery, Access, and Analytics of Data for Geothermal Exploration Compendium of Papers from the 38th Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California

  5. Carl Anderson and the Discovery of the Positron

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Carl Anderson and the Discovery of the Positron Resources with Additional Information * Discovery of the Positron and Muons The Positron Positron Single Track Antiparticle of Electron from California Institute of Technology Courtesy of Lawrence Berkeley National Laboratory, © 2010 The Regents of the University of California, Lawrence Berkeley National Laboratory Carl David Anderson discovered the positron in 1932. Anderson, then a postdoc in the physics department at California Institute of

  6. CERN Announces Discovery of Different Pentaquarks | Jefferson Lab

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    CERN Announces Discovery of Different Pentaquarks Illustration of the possible layout of the quarks in a pentaquark particle such as those discovered at LHCb. The five quarks might be tightly bonded (shown), or they might also be assembled into a meson (one quark and one antiquark) and a baryon (three quarks), weakly bonded together (not shown). Images: © CERN / LHCb Collaboration. CERN Announces Discovery of Different Pentaquarks NEWPORT NEWS, VA, July 15, 2015 - CERN, the European

  7. Melvin Schwartz and the Discovery of the Muon Neutrino

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Melvin Schwartz and the Discovery of the Muon Neutrino Resources with Additional Information Melvin Schwartz Courtesy Brookhaven National Laboratory Melvin Schwartz was the co-winner of the 1988 Nobel Prize in Physics "for the neutrino beam method and the demonstration of the doublet structure of the leptons through the discovery of the muon neutrino". 'In 1962, Schwartz, with Leon Lederman and Jack Steinberger ... discovered the muon neutrino at the Alternating Gradient Synchrotron

  8. DOE Announces $60 Million in Projects to Accelerate Scientific Discovery

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    through Advanced Computing | Department of Energy 0 Million in Projects to Accelerate Scientific Discovery through Advanced Computing DOE Announces $60 Million in Projects to Accelerate Scientific Discovery through Advanced Computing September 7, 2006 - 8:53am Addthis WASHINGTON, D.C. - The U.S. Department of Energy's (DOE) Office of Science today announced approximately $60 million in new awards annually for 30 computational science projects over the next three to five years. The projects

  9. Cobalt discovery replaces precious metals as industrial catalyst

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Cobalt Discovery Replaces Precious Metals Cobalt discovery replaces precious metals as industrial catalyst Cobalt holds promise as an industrial catalyst with potential applications in such energy-related technologies such as production of biofuels and reduction of carbon dioxide. November 26, 2012 The artwork depicts the substitution of cobalt for precious metals in catalysis as a variation on the ancient alchemical theme of transmuting base metals into precious ones. The artwork depicts the

  10. Cobalt discovery replaces precious metals as industrial catalyst

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Cobalt Discovery Replaces Precious Metals Cobalt discovery replaces precious metals as industrial catalyst Cobalt holds promise as an industrial catalyst with potential applications in such energy-related technologies such as production of biofuels and reduction of carbon dioxide. November 26, 2012 The artwork depicts the substitution of cobalt for precious metals in catalysis as a variation on the ancient alchemical theme of transmuting base metals into precious ones. The artwork depicts the