CO2 Push-Pull Dual (Conjugate) Faults Injection Simulations
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).
Citation Formats
Lawrence Berkeley National Laboratory. (2017). CO2 Push-Pull Dual (Conjugate) Faults Injection Simulations [data set]. Retrieved from https://dx.doi.org/10.15121/1452748.
Oldenburg, Curtis, Lee, Kyung Jae, Doughty, Christine, Jung, Yoojin, Borgia, Andrea, Pan, Lehua, Zhang, Rui, Daley, Thomas M., Altundas, Bilgin, and Chugunov, Nikita. CO2 Push-Pull Dual (Conjugate) Faults Injection Simulations. United States: N.p., 20 Jul, 2017. Web. doi: 10.15121/1452748.
Oldenburg, Curtis, Lee, Kyung Jae, Doughty, Christine, Jung, Yoojin, Borgia, Andrea, Pan, Lehua, Zhang, Rui, Daley, Thomas M., Altundas, Bilgin, & Chugunov, Nikita. CO2 Push-Pull Dual (Conjugate) Faults Injection Simulations. United States. https://dx.doi.org/10.15121/1452748
Oldenburg, Curtis, Lee, Kyung Jae, Doughty, Christine, Jung, Yoojin, Borgia, Andrea, Pan, Lehua, Zhang, Rui, Daley, Thomas M., Altundas, Bilgin, and Chugunov, Nikita. 2017. "CO2 Push-Pull Dual (Conjugate) Faults Injection Simulations". United States. https://dx.doi.org/10.15121/1452748. https://gdr.openei.org/submissions/1017.
@div{oedi_7176, title = {CO2 Push-Pull Dual (Conjugate) Faults Injection Simulations}, author = {Oldenburg, Curtis, Lee, Kyung Jae, Doughty, Christine, Jung, Yoojin, Borgia, Andrea, Pan, Lehua, Zhang, Rui, Daley, Thomas M., Altundas, Bilgin, and Chugunov, Nikita.}, abstractNote = {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).}, doi = {10.15121/1452748}, url = {https://gdr.openei.org/submissions/1017}, journal = {}, number = , volume = , place = {United States}, year = {2017}, month = {07}}
https://dx.doi.org/10.15121/1452748
Details
Data from Jul 20, 2017
Last updated Jun 14, 2018
Submitted Mar 6, 2018
Organization
Lawrence Berkeley National Laboratory
Contact
Authors
Original Source
https://gdr.openei.org/submissions/1017Research Areas
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, fractureDOE Project Details
Project Name Push-pull well testing using CO2 with active source geophysical monitoring
Project Lead William Vandermeer
Project Number EE0000842
