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Title: Gas and Oil National Information Infrastructure Final Report CRADA No. GONII

Abstract

GO-NII (written in 1994) Mission Statement: The National Information Infrastructure major partnership will apply information technology to reduce cost, share information and promote innovation within a global virtual environment to support national security related applications and enhance U.S. industrial competitiveness. The technologies needed by the gas and oil industry are closely in line with the technology needs of Defense Programs. LLNL' s GO-NII efforts were principally focused on support of the Synthetic Seismic Dataset, and to a lesser extent on support of the ARJES effort and the PTTC. The four DOE facilities, LANL, LLNL, MMES, and SNL, formed a partnership with the Society of Exploration Geophysicists (SEG) to produce a synthetic three dimensional seismic dataset (SSD). The dataset is to be used by the gas and oil industry to validate their three dimensional seismic processing techniques and will also be used in the development and demonstration of networking, storage, security, visualization, and collaborative tools technologies. Using parallel processing platforms at each of the DOE facilities, a two terabyte dataset has been generated, which is now stored at LLNL's FAST. Tools to access the SSD were developed within the Intelligent Archive effort at LLNL. The SSD and the data access toolsmore » will ultimately be transferred to the oil and gas industry.« less

Authors:
 [1];  [2]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Unocal Corp., Sugar Land, TX (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1430937
Report Number(s):
LLNL-TR-747977
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
03 NATURAL GAS; 02 PETROLEUM

Citation Formats

Hunter, C. L., and Aminzadeh, F. Gas and Oil National Information Infrastructure Final Report CRADA No. GONII. United States: N. p., 2018. Web. doi:10.2172/1430937.
Hunter, C. L., & Aminzadeh, F. Gas and Oil National Information Infrastructure Final Report CRADA No. GONII. United States. doi:10.2172/1430937.
Hunter, C. L., and Aminzadeh, F. Fri . "Gas and Oil National Information Infrastructure Final Report CRADA No. GONII". United States. doi:10.2172/1430937. https://www.osti.gov/servlets/purl/1430937.
@article{osti_1430937,
title = {Gas and Oil National Information Infrastructure Final Report CRADA No. GONII},
author = {Hunter, C. L. and Aminzadeh, F.},
abstractNote = {GO-NII (written in 1994) Mission Statement: The National Information Infrastructure major partnership will apply information technology to reduce cost, share information and promote innovation within a global virtual environment to support national security related applications and enhance U.S. industrial competitiveness. The technologies needed by the gas and oil industry are closely in line with the technology needs of Defense Programs. LLNL' s GO-NII efforts were principally focused on support of the Synthetic Seismic Dataset, and to a lesser extent on support of the ARJES effort and the PTTC. The four DOE facilities, LANL, LLNL, MMES, and SNL, formed a partnership with the Society of Exploration Geophysicists (SEG) to produce a synthetic three dimensional seismic dataset (SSD). The dataset is to be used by the gas and oil industry to validate their three dimensional seismic processing techniques and will also be used in the development and demonstration of networking, storage, security, visualization, and collaborative tools technologies. Using parallel processing platforms at each of the DOE facilities, a two terabyte dataset has been generated, which is now stored at LLNL's FAST. Tools to access the SSD were developed within the Intelligent Archive effort at LLNL. The SSD and the data access tools will ultimately be transferred to the oil and gas industry.},
doi = {10.2172/1430937},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Mar 16 00:00:00 EDT 2018},
month = {Fri Mar 16 00:00:00 EDT 2018}
}

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