Liu, G., Kumar, A., Zhao, S., Shih, C., Vasylkivska, V., Holcomb, P., Hammack, R., Ilconich, J., and Bromhal, G., “Multi-Level of Fracture Network Imaging: A HFTS Use Case and Knowledge Transferring,” presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, Houston, Texas, USA, (June 2022) https://doi.org/10.15530/urtec-2022-3723466.
disCO2ver
Unlocking data-driven capabilities for the entire CTS community
Bibliographies
Multi-Level of Fracture Network Imaging: A HFTS Use Case and Knowledge Transferring
Transient evolution of permeability and friction in a slowly slipping fault activated by fluid pressurization
Cappa, F.; Guglielmi, Y.; De Barros, L. Transient evolution of permeability and friction in a slowly slipping fault activated by fluid pressurization. Nature Communications, 2022, 13, 3039 (2022). https://doi.org/10.1038/s41467-022-30798-3.
Rules and Tools Crosswalk: A Compendium of Computational Tools to Support Geologic Carbon Storage Environmentally Protective UIC Class VI Permitting
Lackey, G.; Strazisar, B. R.; Kobelski, B.; McEvoy, M.; Bacon, D. H.; Cihan, A.; Iyer, J.; Livers-Douglas, A.; Pawar, R.; Sminchak, J.; Wernette, B.; Dilmore, R. M. Rules and Tools Crosswalk: A Compendium of Computational Tools to Support Geologic Carbon Storage Environmentally Protective UIC Class VI Permitting; NRAP-TRS-I-001-2022; DOE.NETL-2022.3731; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Pittsburgh, PA, 2022; p 120. DOI: https://doi.org/10.2172/1870412
Applied machine learning model comparison: Predicting offshore platform integrity with gradient boosting algorithms and neural networks
Dyer, A.S., Zaengle, D., Nelson, J.R., Duran, R., Wenzlick, M., Wingo, P.C., Bauer, J.R., Rose, K., and Romeo, L. (2022). Applied machine learning model comparison: Predicting offshore platform integrity with gradient boosting algorithms and neural networks, Marine Structures, Volume 83, 103152. https://doi.org/10.1016/j.marstruc.2021.103152.
Bayesian Approach for In-Situ Stress Prediction and Uncertainty Quantification for Subsurface Engineering
Bao, T.; Burghardt, J. A. Bayesian Approach for In-Situ Stress Prediction and Uncertainty Quantification for Subsurface Engineering. Rock Mechanics and Rock Engineering 2022, 55, 4531–4548. https://doi.org/10.1007/s00603-022-02857-0.
Data Curation for Basin-Scale Modeling in NRAP Phase III
Morkner, P., and Zhou, Q. Data Curation for Basin-Scale Modeling in NRAP Phase III. National Risk Assessment Partnership Annual Technical Meeting, May 2022. Oral Presentation. https://www.osti.gov/servlets/purl/1891859
Thermal and solubility effects on fault leakage during geologic carbon storage
Meguerdijian, S.; Pawar, R. J.; Harp, D. R.; Jha, B. Thermal and solubility effects on fault leakage during geologic carbon storage. International Journal of Greenhouse Gas Control 2022, 116, Article 103633. https://doi.org/10.1016/j.ijggc.2022.103633.
Leakage from Coexisting Geologic Forcing and Injection-Induced Pressurization: A Semi-Analytical Solution for Multilayered Aquifers with Multiple Wells
Cihan, A.; Oldenburg, C. M.; Birkholzer, J. T. Leakage from Coexisting Geologic Forcing and Injection-Induced Pressurization: A Semi-Analytical Solution for Multilayered Aquifers with Multiple Wells. Water Resources Research 2022, 58 (5), e2022WR032343. https://doi.org/10.1029/2022WR032343.
Coupled hydromechanical modeling of induced seismicity from CO2 injection in the Illinois Basin
Luu, K.; Schoenball, M.; Oldenburg, C. M.; Rutqvist, J. Coupled hydromechanical modeling of induced seismicity from CO2 injection in the Illinois Basin. Journal of Geophysical Research: Solid Earth 2022, 127(5), e2021JB023496. https://doi.org/10.1029/2021JB023496.
Monitoring Geologic Carbon Sequestration Using Electrical Resistivity Tomography
Yang, X.; Carrigan, C. Monitoring Geologic Carbon Sequestration Using Electrical Resistivity Tomography, Geophysical Monitoring for Geologic Carbon Storage, Huang, L. (Ed.), 2022, 255-271. https://doi.org/10.1002/9781119156871.ch16.
Estimating Carbon Storage Resources in Offshore Geologic Environments
Cameron, E.; Thomas, R.; Bauer, J.; Bean, A.; DiGiulio, J.; Disenhof, C.; Galer, S.; Jones, K.; Mark-Moser, M.; Miller, R.; Romeo, L.; Rose, K. Estimating Carbon Storage Resources in Offshore Geologic Environments; NETL-TRS-14-2018; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Albany, OR, 2018; p 32. DOI: 10.18141/1464460 https://edx.netl.doe.gov/dataset/estimating-carbon-storage-resources-in-offshore-geologic-environments
Variable Grid Method: An Intuitive Approach for Simultaneously Quantifying and Visualizing Spatial Data and Uncertainty
Bauer, J. R., and Rose, K., 2015, Variable Grid Method: an Intuitive Approach for Simultaneously Quantifying and Visualizing Spatial Data and Uncertainty, Transactions in GIS. 19(3), p. 377-397. https://doi.org/10.1111/tgis.12158
An Environmental, Energy, Economic, and Social Justice Database for Carbon Capture and Storage Applications
Sharma, M., White, C., Cleaveland, C., Romeo, L., Rose, K., and Bauer, J., “An Environmental, Energy, Economic, and Social Justice Database for Carbon Capture and Storage Applications,” American Geophysical Union (AGU) Fall Meeting 2023, San Francisco, CA, December 11–15, 2023.
Developing a Data Integration and Curation Method from Siloed Resources with Multi-Discipline Applicability
Romeo, L., Bauer, J., Pfander, I., Sabbatino, M., Wenzlick, M., and Rose, K., “Developing a Data Integration and Curation Method from Siloed Resources with Multi-Discipline Applicability,” DOE Data Days, October 24–26, 2023.
How to Flatten the Earth: Reviewing DOE’s Use of Coordinate Systems to Inform Agency-Wide Guidance
Bauer, J., Linard, J., Cuneo, M., and Zvolanek, E., “How to Flatten the Earth: Reviewing DOE’s Use of Coordinate Systems to Inform Agency-Wide Guidance,” DOE Data Days, October 24–26, 2023.
Energy Data eXchange: NETL’s Digital Library and Virtual Laboratory Supporting the Fossil Energy and Carbon Management Research Community
Kuhn, K., Rose, K., Rowan, C., Bauer, J., Jones, T., Baker, V., McFarland, D., Obradovich, J., Maurice, A., Mondello, J., Williams, T., and Dehlin, M., “Energy Data eXchange: NETL’s Digital Library and Virtual Laboratory Supporting the Fossil Energy and Carbon Management Research Community,” DOE Data Days, October 24–26, 2023, https://data-science.llnl.gov/d3.
EDX Spatial: Leveraging Cloud and Hybrid Data Management Resources for Spatial Data
Morkner, P., Bauer, J., Pramuk, J., Sabbatino, M., Kuhn, K., Choisser, A., Justman, D., Schooley, C., and Rose, K., “EDX Spatial: Leveraging Cloud and Hybrid Data Management Resources for Spatial Data,” DOE Data Days, October 24–26, 2023.
Developing a National Structural Complexity Database for U.S. Saline Basins
Justman, D., Creason, C. G., Pantaleone, S., Amrine, D., Rose, K. (2023, October 15-18). Developing a National Structural Complexity Database for U.S. Saline Basins [Conference presentation]. Geological Society of America Annual Meeting. Pittsburgh, PA. https://gsa.confex.com/gsa/2023AM/meetingapp.cgi/Paper/391762
Carbon Storage Open Data Geospatial Curation and Accessibility
Choisser, A., Morkner, P., Sabbatino, M., Bauer, J., Rose, K. (2023, October 16-18). Carbon Storage Open Data Geospatial Curation and Accessibility [Conference presentation]. Geological Society of America Annual Meeting. Pittsburgh, PA. https://community.geosociety.org/gsa2023/home
RokBase: Digital Rock Visualization and Exploration Web Application
Sharma, M. Paronish, T. Crandall, D. Naberhaus, T. Nakacwa, S. (2023, October 16). RokBase: Digital Rock Visualization and Exploration Web Application [Conference presentation]. GSA Connects Conference 2023. https://gsa.confex.com/gsa/2023AM/meetingapp.cgi/Paper/394714
CO2-Locate: A National Oil & Gas Wellbore Database and Visualization Tool to Support Geological and Environmental Assessment
Sharma, M. Romeo, L. Bauer, J. Amrine, D. Pfander, I. Sabbatino, M. Rose, K. (2023, October 15) CO2-Locate: A National Oil & Gas Wellbore Database and Visualization Tool to Support Geological and Environmental Assessment [Conference presentation]. GSA Connects Conference 2023. https://gsa.confex.com/gsa/2023AM/meetingapp.cgi/Paper/395013
Carbon Storage Technical Viability Approach (CS TVA): Multi-Factor Data Assessment Workflow to Determine Geologic Sequestration Feasibility
Mulhern, J., Mark-Moser, M., Creason, C.G., Shay, J., and Rose, K., “Carbon Storage Technical Viability Approach (CS TVA): Multi-Factor Data Assessment Workflow to Determine Geologic Sequestration Feasibility,” Geological Society of America Annual Meeting, Pittsburgh, PA, October 15–18, 2023.