Lackey, G.; Dilmore, R. NETL Well Integrity Workshop: Identifying Well Integrity Research Needs for Subsurface Energy Infrastructure; DOE/NETL-2021/2660; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Pittsburgh, PA, 2021; p 100. DOI: 10.2172/1828877 https://www.osti.gov/biblio/1828877
disCO2ver
Unlocking data-driven capabilities for the entire CTS community
Bibliographies
NETL Well Integrity Workshop: Identifying Well Integrity Research Needs for Subsurface Energy Infrastructure
NRAP-Open-IAM Multisegmented Wellbore Reduced-Order Model
Baek S.; Bacon, D. H.; Huerta, N.J. NRAP-Open-IAM Multisegmented Wellbore Reduced-Order Model. PNNL-32364, 2021. Richland, WA: Pacific Northwest National Laboratory. https://doi.org/10.2172/1840652.
Recommended Practices for Managing Induced Seismicity Risk Associated with Geologic Carbon Storage
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/
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
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.
Regulatory Considerations for Geologic Storage of Carbonated Brine Streams. 16th International Conference on Greenhouse Gas Control Technologies
Van Voorhees, R.; Thomas, R. B.; Schwartz, B.; Dilmore, R.; Hamling, J.; Klapperich, R.; Taunton, M. Regulatory Considerations for Geologic Storage of Carbonated Brine Streams. 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=4285028
CO2-Locate (v2): A Living National Well Database
Romeo, L., Bauer, J., Pfander, I., Cleaveland, C., Dyer, A., Sabbatino, M., Tetteh, D., and K. Rose. CO2-Locate (v2): A Living National Well Database. 2024 FECM / NETL Carbon Management Research Project Review Meeting. Pittsburgh, PA. August 5–9, 2024.
EDX disCO2ver, Increasing Carbon Transport & Storage Product Awareness and Understanding Through Stakeholder Engagement
Rose, K., 2024, “EDX disCO2ver, Increasing Carbon Transport & Storage Product Awareness and Understanding Through Stakeholder Engagement”, FECM / NETL Carbon Management Research Project Review Meeting. Pittsburgh, PA. August 5-9, 2024.
Developing the Carbon Storage Site Mapping Inquiry Tool (MapIT)
Schooley, C., Pantaleone, S., Shay, J., Strazisar, B., and Morkner, P. “Developing the Carbon Storage Site Mapping Inquiry Tool (MapIT)”. FECM/NETL Carbon Management Meeting. Pittsburgh, PA. August 5-9, 2024.
Dynamic CCS-Energy Community Database and Web Application – What’s New
Sharma, M., Bocan, J., White, C., Malay, C., Cleaveland, C., Rose, K., and Bauer, J., “Dynamic CCS-Energy Community Database and Web Application – What’s New,” FECM/NETL Carbon Management Research Project Review Meeting, Pittsburgh, PA, August 5–9, 2024.
Community Sentiment Analysis with focus on CCS
White, C., Sharma, M., Rose, K., and Bauer, J. “Community Sentiment Analysis with focus on CCS”. 2024 FECM / NETL Carbon Management Research Project Review Meeting. Pittsburgh, PA. August 4-9, 2024.
Deploying a Publicly Available and Living National Oil and Gas Well Geodatabase
Pfander, I., Romeo, L., Amrine, D., Sabbatino, M., Sharma, M., Tetteh, D., and Bauer, J., “Deploying a Publicly Available and Living National Oil and Gas Well Geodatabase,” 2024 Esri User Conference, San Diego, CA, July 15–19, 2024.
A Geodatabase Designed to Inform and Support Safe CO2 Transport-Route Planning
Schooley, C., Romeo, L., Pfander, I., Justman, D., Sharma, M., Bauer, J., and Rose, K.,“A Geodatabase Designed to Inform and Support Safe CO2 Transport-Route Planning,” 2024 Esri User Conference, San Diego, CA. July 15–19, 2024. https://www.osti.gov/biblio/2403249
A Dashboard to Support Community Transitions for Carbon Capture and Storage
Sharma, M., White, C., Cleaveland, C., Amrine, D., Rose, K., and Bauer, J., “A Dashboard to Support Community Transitions for Carbon Capture and Storage,” 2024 Esri User Conference, San Diego, CA, July 15–19, 2024. https://www.osti.gov/biblio/2404263
Where are the Data? Automating a Workflow for Carbon Storage Data Gap Analysis
Creason, C.G., Mulhern, J.S., Cordero Rodriguez, N., Mark-Moser, M., Lara, A., Shay, J., and Rose, K., “Where are the Data? Automating a Workflow for Carbon Storage Data Gap Analysis,” FECM/NETL Carbon Management Research Project Review Meeting, Pittsburgh, PA, August 5–9, 2024. https://netl.doe.gov/sites/default/files/netl-file/24CM/24CM_CTS3_5_Creason.pdf
Energy Community Dynamic Database for CCS Systems
Sharma, M., White, C., Bocan, J., Cleaveland, C., Malay, C., Bauer, J., and Rose, K., “Energy Community Dynamic Database for CCS Systems,” GES Tech Talk, Morgantown, WV, June 2024.