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Curating Carbon Storage Data for Reuse: Enabling Research and Modeling from Earth’s Surface to Subsurface

Morkner, P., Martin, A., Bauer, J., Sabbatino, M., and Rose, K., “Curating Carbon Storage Data for Reuse: Enabling Research and Modeling from Earth’s Surface to Subsurface”. Brookhaven National Laboratory’s New York Scientific Data Summit 2024. Sept. 16, 2024. New York, NY.

The Carbon Storage Site Mapping Inquiry Tool (MapIT)

Morkner, P., Schooley, C., Pantaleone, S., Shay, J., Strazisar, B., and Rose, K. “The Carbon Storage Site Mapping Inquiry Tool (MapIT)”. Geological Society of America Conference Connects, September 2024. Anaheim, CA.

Smart CO2 Transport-Route Planning Tool

Rose, K., Romeo, L, Leveckis, S., Gao, M., Houghton, B., Zaengle, D., Schooley, C., Justman, D., and Bauer, J., 2024, Smart CO2 Transport-Route Planning Tool, 15th International Pipeline Conference (IPC 2024), September 2024

The Integration and Mapping of an Open-Source National Well Resource to Inform Geologic Carbon Storage Site Selection and Risk Prevention: The CO2-Locate Database

Tetteh, D.A. Romeo, L. Pfander, I., Dyer, A.S., Sabbatino, M., Sharma, M., Cleaveland, C., McElroy, P., Rose, K., and J. Bauer. “The Integration and Mapping of an Open-Source National Well Resource to Inform Geologic Carbon Storage Site Selection and Risk Prevention: The CO2-Locate Database”. Geologic Society of America Connects, Sept. 2024. Anaheim, CA, 2024.

Spatial Seal Database for Prospective Storage Resources in the USA

Pantaleone, S., Martin, A., Marcelli, O., Morkner, P., and Rose, K., “Spatial Seal Database for Prospective Storage Resources in the USA,” FECM/NETL Carbon Management Research Project Review Meeting, Pittsburgh, PA, August 5–9, 2024.

Smart CO2 Transport-Route Planning Tool: Providing Data and Insights for Accelerating Carbon Transport & Storage Deployment

Romeo, L., Leveckis, S., Gao, M., Houghton, B., Zaengle, D., Schooley, C., Justman, D., Bauer, J. and K. Rose. Smart CO2 Transport-Route Planning Tool: Providing Data and Insights for Accelerating Carbon Transport & Storage Deployment. 2024 FECM / NETL Carbon Management Research Project Review Meeting. Pittsburgh, PA. August 5–9, 2024.

Paving the Way for Stakeholder use of Carbon Storage & Transport Digital Resources

Martin, A., Cleaveland, C., Justman, D., and Morkner, P., “Paving the Way for Stakeholder use of Carbon Storage & Transport Digital Resources,” 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_CTS1_5_Martin.pdf

Basin-Scale Structural Features Database: Spatial Datasets to Support Carbon Storage Resource Assessments

Justman, D., Pantaleone, S., Alexander, J., and Bauer, J., “Basin-Scale Structural Features Database: Spatial Datasets to Support Carbon Storage Resource Assessments,” 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_Justman.pdf

Carbon Storage Technical Viability Approach (CS TVA): An Integrated Approach for Feasibility and Data Resource Assessment

Cordero Rodriguez, N., Mulhern J., Creason C.G., Mark-Moser, M., Lara A., Shay J., and Rose, K., “Carbon Storage Technical Viability Approach (CS TVA): An Integrated Approach for Feasibility and Data Resource Assessment,” FECM/NETL Carbon Management Research Project Review Meeting, Pittsburgh, PA, August 5–9, 2024.

Carbon Matchmaker: Connecting CCUS Activities and Stakeholders

 Bauer, J., Sharma, M., Rose, K., Dooley, K. Carbon Matchmaker: Connecting CCUS Activities and Stakeholders. FECM/NETL Carbon Management Meeting. Pittsburgh, PA. August 5-9, 2024

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

Adaptive, Risk-Based Monitoring of Geologic Carbon Storage

Gasperikova, E. Vasylkivska, V. Yang, X. Huang, L. Hanna, A. Chen, B. Creasy, N. Li, D. Blatter, D. Kumar, A. Dilmore, R. Harbert, B. Morgan, D. Iyer, J.K. Smith, M. Kirol, A. Appriou, D. (2023, August 31). Adaptive, Risk-Based Monitoring of Geologic Carbon Storage [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS31_Gasperikova.pdf

NRAP Phase III Overview: Objectives and Progress

Dilmore, R. (2023, August 31). NRAP Phase III Overview: Objectives and Progress [Conference presentation]. FECM/NETL Carbon Management Meeting 2023.  https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS31_Dilmore.pdf

Anonymizing Sensitive Carbon Storage Data Tool

Morkner, P. Bauer, J. Wingo, P. Gao, M. Sharma, M. Hoover, B. Neumann, C. Johnson, C. Schuetter, J. Rose, K. (2023, August 29). Anonymizing Sensitive Carbon Storage Data Tool [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS29_Morkner.pdf 

A Comprehensive Dashboard for CS Planning

Justman D. Pantaleone, S. Sharma, M. Romeo, L. Morkner, P. Bauer, J. (2023, August 29). A Comprehensive Dashboard for CS Planning [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS29_Justman.pdf

EDX Cloud Optimization for Carbon Management

Rose, K. Baker, V. (2023, August 28). EDX Cloud Optimization for Carbon Management [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS28_Rose.pdf

Licensing and Virtualizing Carbon Storage Models and Tools via EDX disCO2ver

Zaengle, D. Sinclair, J. Wingo, P. Rowan, C. Rose, K. (2023, August 28). Licensing and Virtualizing Carbon Storage Models and Tools via EDX disCO2ver [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS28_Zaengle.pdf

EDX++: Migrating EDX to the Cloud, Unlocking Next-Generation Data Infrastructure

Baker, V. Rose, K. Obradovich, J. McFarland, D. Jones, TJ. Mondello, J. Dean, E. Sarle, J. (2023, August 28). EDX++: Migrating EDX to the Cloud, Unlocking Next-Generation Data Infrastructure [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS28_Baker.pdf

Developing a National Structural Complexity Database for U.S. Saline Basins

Amrine, D. Justman, D. Creason, C. Pantaleone, S. Gordon, A. Rose, K. (2023, August 28). Developing a National Structural Complexity Database for U.S. Saline Basins [Poster presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTSp_Amrine.pdf

Managing Carbon Storage Data With a Living Database

Sabbatino, M. Morkner, P. Choisser, A. Leveckis, S. Bauer, J. Rose, K. (2023, August 28). Managing Carbon Storage Data With a Living Database [Poster presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTSp_Sabbatino.pdf

Machine Learning Based Fracture Network Quantification at the IBDP CO2 Sequestration Site

Kumar, A. Harbert, W. Liu, G. Myshakin, E.(2023, August 28). Machine Learning Based Fracture Network Quantification at the IBDP CO2 Sequestration Site [Poster presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTSp_Kumar.pdf 

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