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_3684, 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
Kyung Jae Jae Lee
713.743.6708
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