Morkner, P. (2022). An Updated Carbon Storage Open Database – Geospatial Data Aggregation to Support Scaling up CCS. 2022 Carbon Management Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/22CM_CTS17_Morkner.pdf
disCO2ver
Unlocking data-driven capabilities for the entire CTS community
Bibliographies
An Updated Carbon Storage Open Database – Geospatial Data Aggregation to Support Scaling up CCS
Advanced Data Extraction to Support a Living Database
Sabbatino, M. (2022). Advanced Data Extraction to Support a Living Database. 2022 Carbon Management Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/22CM_CTS17_Sabbatino.pdf
Geo-Data Science Driven Insights Into CCS EJ/SJ Opportunities in Support of Energy Community Transitions
Bauer, J. (2022). Geo-Data Science Driven Insights into CCS EJ/SJ Opportunities in Support of Energy Community Transitions. 2022 Carbon Management Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/22CM_CTS17_Bauer.pdf
The DisCO2ver Platform, Building a Virtual Carbon Storage Data Laboratory and Infrastructure for the Future
Rose, K. Morkner, P. Bauer, J. (2022). The disCO2ver Platform, Building a Virtual Carbon Storage Data Laboratory and Infrastructure for the Future. 2022 Carbon Management Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/22CM_CTS17_Rose.pdf
DOE Offshore Carbon Storage Saline Calculator Methodology and Tool
Romeo, L. Rose, K. Bauer, J. Mark-Moser, M. Bean, A. Thomas, B. (2022). Offshore CO2 Saline Storage Methodology and Calculator. 2022 Carbon Management Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/22CM_CTS17_Romeo.pdf
Site Selection and Cost Estimation of Pilot-Scale CO2 Saline Storage Study in the Gulf of Mexico
Wijaya, N. Vakara, D. Bello, K. Vactor, T. Grant, T. Morgan, D. (2022). Site Selection and Cost Estimation for Pilot-Scale CO2 Saline Storage Study in the Gulf of Mexico. 2022 Carbon Management Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/22CM_CTS17_Wijaya_2.pdf
Updating NATCARB and Carbon Storage Geospatial Resources via EDX Cloud
Morkner, P., Bauer, J., Pantaleone, S., Shay, J., Rowan, C., Baker, V., Obradovich, J., and Rose, K. Updating NATCARB and Carbon Storage Geospatial Resources via EDX Cloud. U.S Department of Energy National Energy Technology Laboratory Carbon Management Project Review Meeting, August 16th, 2022. https://netl.doe.gov/sites/default/files/netl-file/22CM_CTS16_Morkner.pdf
3D Visualization of Integrated Geologic and Geophysical Subsurface Data Using Open-Source Programming: A Case Study Using Data from the MSEEL Project
Panetta, B., Carr, T., and Fathi, E., “3D Visualization of Integrated Geologic and Geophysical Subsurface Data Using Open-Source Programming: A Case Study Using Data from the MSEEL Project,” AAPG and SEG Second International Meeting for Applied Geoscience & Energy, August 14-15, 2022, Houston, TX, expanded abstract, https://doi.org/10.1190/image2022-3746025.1
Deep Learning Multiphysics Network for Imaging CO2 Saturation and Estimating Uncertainty in Geological Carbon Storage
Um, E.S., Alumbaugh, D., Commer, M., Feng, S., Gasperikova, E., Li, Y., Lin, Y., and Samarasinghe, S., “Deep Learning Multiphysics Network for Imaging CO2 Saturation and Estimating Uncertainty in Geological Carbon Storage;” Geophysical Prospecting, (2022) https://doi.org/10.1111/1365-2478.13257.
AIIM: Advanced Infrastructure Integrity Modeling
Bean, A., Romeo, L., Bauer, J. AIIM: Advanced Infrastructure Integrity Modeling. TechConnect. June 13-15, 2022. National Harbor, D.C. https://www.osti.gov/biblio/1890422
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
Class II to Class IV Operations – Insights from Simulation-Based Investigation of a CO2-EOR to Dedicated Storage Scenario
Liu, G. Dilmore, R. Strazisar, B. Lackey, G. (2023, August 28). Class II to Class IV Operations – Insights from Simulation-Based Investigation of a CO2-EOR to Dedicated Storage Scenario [Poster presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTSp_Liu.pdf
Application of NRAP Risk Assessment Tools in the Context of Bowtie Risk Management Framework
Brown, C. Lackey, G. Mitchell, N. Baek, S. Schwartz, B. Dean, M. Dilmore, R. Blanke, H. Rowe, C. (2023, August 28). Application of NRAP Risk Assessment Tools in the Context of Bowtie Risk Management Framework [Poster presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTSp_Brown.pdf
Conceptualizing Data Availability and Technical Viability Methods within the Carbon Storage Technical Viability (CS TVA) Approach
Mulhern, J. Mark-Moser, M. Creason, C. Shay, J. Rose, K. (2023, August 28). Conceptualizing Data Availability and Technical Viability Methods within the Carbon Storage Technical Viability (CS TVA) Approach [Poster presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTSp_Mulhern.pdf
Carbon Storage Program Data Curation, Transformation and Reuse
Morkner, P. Bauer, J. Choisser, A. Sabbatino, M. Leveckis, S. Rose, K. (2023, August 28) Carbon Storage Program Data Curation, Transformation and Reuse [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS28_Morkner.pdf
EJ/SJ Dynamic Datasets for CCS Systems and the Energy Transition Web Atlas Tool
Sharma, M. White, C. Cleaveland, C. Romeo, L. Bauer, J. Rose, K. (2023, August 28). EJ/SJ Dynamic Datasets for CCS Systems and the Energy Transition Web Atlas Tool [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS28_Sharma.pdf
Developing a National Structural Complexity Database for U.S. Saline Basins
Justman, D. Creason, C. Pantaleone, S. Gordon, A. Amrine, D. Rose, K. (2023, August 28). Developing a National Structural Complexity Database for U.S. Saline Basins [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS28_Justman.pdf
Carbon Storage Technical Viability Approach
Mark-Moser, M. Creason, C. Mulhern, J. Shay, J. Lara, A. Rose, K. (2023, August 28). Carbon Storage Technical Viability Approach [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS28_Mark-Moser.pdf
EDX Utilization of Cloud Open Data Programs to Enhance Reuse of Large CS Datasets
Rowan, C. Rose, K. (2023, August 28). EDX Utilization of Cloud Open Data Programs to Enhance Reuse of Large CS Datasets. FECM/NETL Carbon Management Meeting 2023 [Conference presentation]. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS28_Rowan.pdf
CS BIL Communications and Stakeholder Outreach
Wanosky, G., and Sinclair, J., “CS BIL Communications and Stakeholder Outreach,” 2023 Carbon Management Research Project Review Meeting, Pittsburg, PA, August 28–September 1, 2023.
Deploying a National Well Database to Support CS Reuse and Risk
Romeo, L., Bauer, J., Amrine, D., Pfander, I., Mulhern, J., Sabbatino, M., and Rose, K., “Deploying a National Well Database to Support CS Reuse and Risk”. 2023 Carbon Management Research Project Review Meeting, Pittsburg, PA, August 28–September 1, 2023.