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Title: West Flank Coso FORGE: Natural Fracture Data

Abstract

Natural fracture data from wells 33-7, 33A-7,52A-7, 52B-7 and 83-11 at West Flank. Fracture orientations were determined from image logs of these wells (see accompanying submissions). Data files contain depth, apparent (in wellbore reference frame) and true (in geographic reference frame) azimuth and dip, respectively.

Authors:
Publication Date:
Other Number(s):
811
DOE Contract Number:  
EE0007156
Research Org.:
USDOE Geothermal Data Repository (United States); Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
Collaborations:
Sandia National Laboratories
Subject:
15 Geothermal Energy
Keywords:
geothermal; EGS; FORGE; West Flank; Natural Fracture; fracturing; fracture mapping; picks; fracture; natural; Coso
Geolocation:
36.48689959618, (-117.453325
OSTI Identifier:
1287569
DOI:
https://doi.org/10.15121/1287569
Project Location:

DOE DataExplorer Dataset Location Google Map

Citation Formats

Blankenship, Doug. West Flank Coso FORGE: Natural Fracture Data. United States: N. p., 2016. Web. doi:10.15121/1287569.
Blankenship, Doug. West Flank Coso FORGE: Natural Fracture Data. United States. doi:https://doi.org/10.15121/1287569
Blankenship, Doug. 2016. "West Flank Coso FORGE: Natural Fracture Data". United States. doi:https://doi.org/10.15121/1287569. https://www.osti.gov/servlets/purl/1287569. Pub date:Mon May 16 00:00:00 EDT 2016
@article{osti_1287569,
title = {West Flank Coso FORGE: Natural Fracture Data},
author = {Blankenship, Doug},
abstractNote = {Natural fracture data from wells 33-7, 33A-7,52A-7, 52B-7 and 83-11 at West Flank. Fracture orientations were determined from image logs of these wells (see accompanying submissions). Data files contain depth, apparent (in wellbore reference frame) and true (in geographic reference frame) azimuth and dip, respectively.},
doi = {10.15121/1287569},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {5}
}