CO2 Push-Pull Dual (Conjugate) Faults Injection Simulations

Abstract

This submission contains datasets and a final manuscript associated with a project simulating carbon dioxide push-pull into a conjugate fault system modeled after Dixie Valley-
sensitivity analysis of significant parameters and uncertainty prediction by data-worth analysis.

Datasets include:
(1) Forward simulation runs of standard cases (push & pull phases),
(2) Local sensitivity analyses (push & pull phases), and
(3) Data-worth analysis (push & pull phases).

2 Resources

Related Datasets

Datasets associated with the same DOE project
  Submission Name Resources Submitted Status

Additional Info

DOE Project Name: Push-pull well testing using CO2 with active source geophysical monitoring
DOE Project Number: EE0000842
DOE Project Lead: William Vandermeer
DOI: 10.15121/1452748
Last Updated: over a year ago
Jul
2017
Data from July, 2017
Submitted Mar 6, 2018

Contact

Lawrence Berkeley National Laboratory


713.743.6708

Status

Publicly accessible License 

Authors

Curtis Oldenburg
Lawrence Berkeley National Laboratory
Kyung Jae Lee
Lawrence Berkeley National Laboratory
Christine Doughty
Lawrence Berkeley National Laboratory
Yoojin Jung
Lawrence Berkeley National Laboratory
Andrea Borgia
Lawrence Berkeley National Laboratory
Lehua Pan
Lawrence Berkeley National Laboratory
Rui Zhang
University of Louisiana
Thomas M. Daley
Lawrence Berkeley National Laboratory
Bilgin Altundas
Schlumberger-Doll Research
Nikita Chugunov
Schlumberger-Doll Research

Keywords

geothermal, energy, CO2 injection, Fault characterization, Seismic imaging, TOUGH2, iTOUGH2, EGS, Dixie valley, enhanced geothermal systems, stimulation, fault, push-pull, CO2, geothermal system, sensitivity analysis, data-worth analysis, characterization, fracture

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