Templeton, D., Schoenball, M., Layland-Bachmann, C., Foxall, W., Kroll, K., Burghardt, J., Dilmore, R., White, J.. Recommended Practices for Managing Induced Seismicity Risk Associated with Geologic Carbon Storage (Draft Report) 2021. NRAP Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV. https://www.osti.gov/biblio/1834402/
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Unlocking data-driven capabilities for the entire CCS community
Bibliographies
Recommended Practices for Managing Induced Seismicity Risk Associated with Geologic Carbon Storage
Field-scale fault reactivation experiments by fluid injection highlight aseismic leakage in caprock analogs: Implications for CO2 sequestration
Guglielmi, Y.; Nussbaum, C.; Cappa, F.; de Barros, L.; Rutqvist, J., Birkholzer, J. Field-scale fault reactivation experiments by fluid injection highlight aseismic leakage in caprock analogs: Implications for CO2 sequestration. International Journal of Greenhouse Gas Control 2021, 111, Article 103471. https://doi.org/10.1016/j.ijggc.2021.103471
Experimental workflow to estimate model parameters for evaluating long term viscoelastic response of CO2 storage caprock
Bao, T.; Burghardt, J. A.; Gupta, V.; Edelman, E.; McPherson, B. J.; White, M. D. Experimental workflow to estimate model parameters for evaluating long term viscoelastic response of CO2 storage caprock. International Journal of Rock Mechanics and Mining Sciences, 2021. 146, Article 104796. PNNL-SA-153774. doi:10.1016/j.ijrmms.2021.104796. https://www.sciencedirect.com/science/article/abs/pii/S1365160921001817?via%3Dihub
Alteration of Fractured Foamed Cement Exposed to CO2-Saturated Water: Implications for Well Integrity
Min, Y.; Montross, S.; Spaulding, R.; Brandi, M.; Huerta, N.; Thomas, R.; Kutchko, B. Alteration of Fractured Foamed Cement Exposed to CO2-Saturated Water: Implications for Well Integrity. Environmental Science & Technology 2021, 55(19), 13244-13253. https://doi.org/10.1021/acs.est.1c02699.
NRAP-open-IAM: A flexible open-source integrated-assessment-model for geologic carbon storage risk assessment and management
Vasykivska, V.; Dilmore, R.; Lackey, G.; Zhang, Y.; King, S.; Bacon, D.; Chen, B.; Mansoor, K.;Harp, D. NRAP-open-IAM: A flexible open-source integrated-assessment-model for geologic carbon storage risk assessment and management. Environmental Modeling & Software 2021, 143, Article 105114. https://www.sciencedirect.com/science/article/abs/pii/S1364815221001572?via%3Dihub
Forecasting 3D Structural Complexity with AI/ML method: Mississippi Canyon, Gulf of Mexico
Pantaleone, S., Mark Moser, M., Bean, A., Walker, S., Rose, K., 2021, “Forecasting 3D Structural Complexity with AI/ML method: Mississippi Canyon, Gulf of Mexico”. AAPG/SEG IMAGE conference, Denver, Colorado, September 26, 2021 October 1, 2021. https://edx.netl.doe.gov/sites/offshore/forecasting-3d-structural-complexity-with-ai-ml-method-mississippi-canyon-gulf-of-mexico/
Propagation, arrest, and reactivation of thermally driven fractures in an unconfined half-space using stability analysis
Chen, B.; Zhou, Q. Propagation, arrest, and reactivation of thermally driven fractures in an unconfined half-space using stability analysis. Theoretical and Applied Fracture Mechanics 2021, 114, Article 102969. https://doi.org/10.1016/j.tafmec.2021.102969.
NRAP-Open-IAM: FutureGen2 Component Models
Bacon D. H. NRAP-Open-IAM: FutureGen2 Component Models, 2021. PNNL-31781. Richland, WA: Pacific Northwest National Laboratory. https://www.pnnl.gov/main/publications/external/technical_reports/PNNL-31781.pdf
Assessing Current & Future Infrastructure Hazards: Forecasting Integrity using Machine Learning & Advanced Analytics
Romeo, L. (2021, August 9). Assessing Current & Future Infrastructure Hazards: Forecasting Integrity using Machine Learning & Advanced Analytics [Conference presentation]. Carbon Management and Oil and Gas Research Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/20VPRONG_26_Romeo.pdf
NETL’s SmartSearch Deep Learning Tool
Baker, V., Bauer, J., Morkner, P., Rose, K. NETL’s SmartSearch Deep Learning Tool – Scalable data search and parse for carbon storage data discovery. Carbon Management and Oil and Gas Research Project Review Meeting – Carbon Storage. August 9th, 2021. https://netl.doe.gov/sites/default/files/netl-file/21CMOG_CS_Baker9.pdf
Evaluation of the Economic Implications of Varied Pressure Drawdown Strategies Generated Using a Real-time, Rapid Predictive, Multi-Fidelity Model for Unconventional Oil and Gas Wells
Bello, K., Vikara, D., Sheriff, A., Viswanathan, H., Carr, T., Sweeney, M., O’Malley, D., Marquis, M., Vactor, R.T., and Cunha, L., “Evaluation of the Economic Implications of Varied Pressure Drawdown Strategies Generated Using a Real-time, Rapid Predictive, Multi-Fidelity Model for Unconventional Oil and Gas Wells,” Gas Science and Engineering, (2023) https://doi.org/10.1016/j.jgsce.2023.204972.
A Quantitative Risk Assessment Approach for Developing Contingency Plans at a Geologic Carbon Storage Site
Mitchell, N.; Lackey, G.; Schwartz, B.; Strazisar, B.; Dilmore, R. A Quantitative Risk Assessment Approach for Developing Contingency Plans at a Geologic Carbon Storage Site. Greenhouse Gases: Science and Technology 2023, 13(3), 320-339. https://doi.org/10.1002/ghg.2219.
Evaluating Probability of Containment Effectiveness at a GCS Site using Integrated Assessment Modeling Approach with Bayesian Decision Network
Wang, Z.; Dilmore, R. M.; Bacon, D. H.; Harbert, W. Evaluating Probability of Containment Effectiveness at a GCS Site using Integrated Assessment Modeling Approach with Bayesian Decision Network, Greenhouse Gases: Science and Technology, 2021, 11(2), 360-376. https://doi.org/10.1002/ghg.2056.
Modeling‐Based Assessment of Deep Seismic Potential Induced by Geologic Carbon Storage
Chang, K.W., and Yoon, H., “Modeling‐Based Assessment of Deep Seismic Potential Induced by Geologic Carbon Storage,” Seismological Research Letters, 49(3), 1447–1454, (2023) https://doi.org/10.1785/0220220365.
Joint Physics-Based and Data-Driven Time-Lapse Seismic Inversion: Mitigating Data Scarcity
Liu, Y., Feng, S., Tsvankin, I., Alumbaugh, D., and Lin, Y., “Joint Physics-Based and Data-Driven Time-Lapse Seismic Inversion: Mitigating Data Scarcity,” Geophysics, (2022) doi.org/10.1190/geo2022-0050.1.
NRAP Recommended Practices for Containment Assurance and Leakage Risk Quantification
Thomas, R. B.; Schwartz, B.; Oldenburg, C.; Bacon, D. H.; Gasperikova, E.; Lackey. G.; Appriou, D.; Harp, D.; Chen, B.; Doughty, C.; Burghardt, J.; Pawar, R. J.; Brown, C. F.; Smith, M. M.; Van Voorhees, R.; Strazisar, B. R.; Dilmore, R. M. NRAP Recommended Practices for Containment Assurance and Leakage Risk Quantification; NRAP-TRS-I-002-2022; DOE.NETL-2022.3344; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Pittsburgh, PA, 2022; p 76. DOI: 10.2172/1906399 https://www.osti.gov/biblio/1906399/
Computational Tools and Workflows for Quantitative Risk Assessment and Decision Support for Geologic Carbon Storage Sites: Progress and Insights from the U.S. DOE’s National Risk Assessment Partnership
Dilmore, R. M.; Appriou, D.; Bacon, D.; Brown, C.; Cihan, A.; Gasperikova, E.; Kroll, K.; Oldenburg, C. M.; Pawar, R. J.; Smith, M. M.; Strazisar, B. R.; Templeton, D.; Thomas, R. B.; Vasylkivska, V. S.; White, J. A. Computational Tools and Workflows for Quantitative Risk Assessment and Decision Support for Geologic Carbon Storage Sites: Progress and Insights from the U.S. DOE’s National Risk Assessment Partnership. 16th International Conference on Greenhouse Gas Control Technologies, GHGT-16, 23-24th October 2022, Lyon, France. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4298480
Extended Abstract to: Integrating Qualitative and Quantitative Risk Assessment Methods for Carbon Storage: A Case Study for the Quest Carbon Capture and Storage Facility
Brown, C. F.; Lackey, G.; Schwartz, B.; Deane, M.; Dilmore, R.; Blanke, H.; O’Brien, S.; Rowe, C. O’Brien, S.; Rowe, C. Extended Abstract to: Integrating Qualitative and Quantitative Risk Assessment Methods for Carbon Storage: A Case Study for the Quest Carbon Capture and Storage Facility. 16th International Conference on Greenhouse Gas Control Technologies, GHGT-16, 23-24th October 2022, Lyon, France. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4297575
High-Quality Fracture Network Mapping Using High Frequency Logging While Drilling (LWD) Data: MSEEL Case Study
Fathi, E., Carr, T.R., Adenan, M.F., Panetta, B., Kumar, A., and Carney, B.J., ”High-Quality Fracture Network Mapping Using High Frequency Logging While Drilling (LWD) Data: MSEEL Case Study,” Machine Learning with Applications, Vol. 10 (2022), https://doi.org/10.1016/j.mlwa.2022.100421.
Reduced Order Modeling for Flow and Transport Problems with Barlow Twins Self-Supervised Learning
Kadeethum, T., Ballarin, F., O’Malley, D., Choi, Y., Bouklas, N., and Yoon, H., “Reduced Order Modeling for Flow and Transport Problems with Barlow Twins Self-Supervised Learning,” Scientific Reports, 12, Article 20654 (2022), https://doi.org/10.1038/s41598-022-24545-3.
Machine Learning Application for CCUS Carbon Storage: Fracture Analysis and Mapping in The Illinois Basin
Liu, G., Kumar, A., Harbert, W., Siriwardane, H., Myshakin, E., Crandall, D., Cunha, L., (2024, June 23). Machine Learning Application for CCUS Carbon Storage: Fracture Analysis and Mapping in The Illinois Basin [Conference presentation], ARMA 24–1183, 58th U.S. Rock Mechanics/Geomechanics Symposium, Golden, Colorado. https://www.osti.gov/biblio/2228745
Advanced Offshore Hazard Forecasting to Enable Resilient Offshore Operations
Mark-Moser, M. K., Romeo, L., Duran, R., Bauer, J., Rose, K., (2024, May 6). Advanced Offshore Hazard Forecasting to Enable Resilient Offshore Operations. [Conference presentation] Offshore Technology Conference 2024. Houston, TX. https://www.osti.gov/biblio/2352616
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
Understanding Federal Data Curation Requirements and EDX++ Tool to Serve CS Data Curation Needs
Rowan, C. Sinclair, J. (2023, August 31). Understanding Federal Data Curation Requirements and EDX++ Tool to Serve CS Data Curation Needs [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS31_Rowan.pdf
DOE’s Carbon Matchmaker
Sharma, M. Dooley, K. (2023, August 31). DOE’s Carbon Matchmaker [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS31_Sharma.pdf
Carbon Storage Bipartisan Infrastructure Law Communications and Stakeholder Engagements
Wanosky, G. Sinclair, J. (2023, August 31). Carbon Storage Bipartisan Infrastructure Law Communications and Stakeholder Engagements [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS31_Wanosky.pdf
SMART Site-Specific Visualization and Decision Support
Bacon, D. Morgan, D. Mudunuru, M. (2023, August 31). SMART Site-Specific Visualization and Decision Support [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS31_Bacon2.pdf
