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Title: Stochastic prediction of fracture connectivity in multi-well flow systems — application to a proposed EGS Collab shear stimulation experiment

Authors:
ORCiD logo [1];  [2]
  1. Los Alamos National Laboratory
  2. Multiple
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE). Geothermal Technologies Office (EE-4G)
OSTI Identifier:
1532677
Report Number(s):
LA-UR-18-31156
DOE Contract Number:  
89233218CNA000001
Resource Type:
Conference
Resource Relation:
Conference: 53rd US Rock Mechanics / Geomechanics Symposium ; 2019-06-24 - 2019-06-26 ; New York, New York, United States
Country of Publication:
United States
Language:
English
Subject:
Earth Sciences; Multi-well design

Citation Formats

Frash, Luke Philip, and EGS Collab, Team. Stochastic prediction of fracture connectivity in multi-well flow systems — application to a proposed EGS Collab shear stimulation experiment. United States: N. p., 2019. Web.
Frash, Luke Philip, & EGS Collab, Team. Stochastic prediction of fracture connectivity in multi-well flow systems — application to a proposed EGS Collab shear stimulation experiment. United States.
Frash, Luke Philip, and EGS Collab, Team. Tue . "Stochastic prediction of fracture connectivity in multi-well flow systems — application to a proposed EGS Collab shear stimulation experiment". United States. https://www.osti.gov/servlets/purl/1532677.
@article{osti_1532677,
title = {Stochastic prediction of fracture connectivity in multi-well flow systems — application to a proposed EGS Collab shear stimulation experiment},
author = {Frash, Luke Philip and EGS Collab, Team},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {7}
}

Conference:
Other availability
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