Romeo, L., Leveckis, S., Houghton, B., Gao, M. C., Zaengle, D., Schooley, C., Rose, K., and Bauer, J., “An Open-Source, Machine Learning-Informed, Geospatial-Driven Tool for Identifying and Evaluating CO2 Transport Routes,” SPE AAPG SEG CCUS 2025, Houston, TX, March 3–5, 2025.
disCO2ver
Unlocking data-driven capabilities for the entire CTS community
Bibliographies
An Open-Source, Machine Learning-Informed, Geospatial-Driven Tool for Identifying and Evaluating CO2 Transport Routes
Analog Selection and Project Comparison Using Offshore Carbon Storage Project Inventory and Data
Mulhern, J.S., Mark-Moser, M., and Rose, K., “Analog Selection and Project Comparison Using Offshore Carbon Storage Project Inventory and Data,” accepted for SPE AAPG SEG CCUS 2025, Houston, TX, March 3–5, 2025.
Extending Compliance Inspection Data with Predictive Modeling for Marginal Conventional Wells with Emissions in New York State
Dyer, A., Schooley, C., White, C., Wise, J., and Lackey, G., “Extending Compliance Inspection Data with Predictive Modeling for Marginal Conventional Wells with Emissions in New York State,” conference abstract from AGU Annual Meeting 2024, Washington, DC, December 9–13, 2024.
CO2-Locate: A Dynamic Database and Tool for Accessing National Oil and Gas Well Data to Inform Carbon Storage Projects
Dyer, A., Pfander, I., Tetteh, D., Cleaveland, C., Sabbatino, M., Romeo, L., Bauer, J., and Rose, K., “CO2-Locate: A Dynamic Database and Tool for Accessing National Oil and Gas Well Data to Inform Carbon Storage Projects,” conference abstract from AGU Annual Meeting 2024, Washington, DC, December 9–13, 2024.
The Carbon Storage Planning Inquiry Tool (CS PlanIT)
Morkner, P., Pantaleone, S., Rich, M., Justman, D., and Rose, K. “The Carbon Storage Planning Inquiry Tool (CS PlanIT)”. US Energy Administration Seminar. November, 2024. Online.
Carbon Storage Technical Viability Approach (CS TVA) Matrix: Integrating Multiple Components for Comprehensive Scoping and Data Availability Assessments
Mulhern, J.S., Mark-Moser, M., Creason, C.G., Maymi, N., Shay, J., Lara, A., and Rose, K., “Carbon Storage Technical Viability Approach (CS TVA) Matrix: Integrating Multiple Components for Comprehensive Scoping and Data Availability Assessments,” AAPG Rocky Mountain Elevating Energy Section Meeting, Park City, UT, October 6–8, 2024.
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, Geological Society of America Connects Annual Meeting. Anaheim, CA. September 22-25, 2024.
Carbon Storage Technical Viability Approach (CS TVA) Matrix: Integrating Multiple Components for Comprehensive Scoping
Mulhern, J.S., Mark-Moser, M., Creason, C.G., Maymi, N., Shay, J., Lara, A., and Rose, K., “Carbon Storage Technical Viability Approach (CS TVA) Matrix: Integrating Multiple Components for Comprehensive Scoping,” Geological Society of America CONNECTS Annual Meeting, Anaheim, CA, September 22–25, 2024.
Offshore Carbon Storage Data Collection and International Offshore Carbon Storage Project Inventory
Mulhern, J.S., Mark-Moser, M., and Rose, K., “Offshore Carbon Storage Data Collection and International Offshore Carbon Storage Project Inventory,” Geological Society of America CONNECTS Annual Meeting, Anaheim, CA, September 22–25, 2024.
International Offshore Geologic Carbon Storage Project Inventory and Data Collection
Mulhern, J.S., Mark-Moser, M., and Rose, K. “International Offshore Geologic Carbon Storage Project Inventory and Data Collection”. Seventh International Offshore Geologic CO2 Storage Workshop. Port Arthur, Texas. September 17-19, 2024. Invited.
NRAP-Open-IAM: Open Wellbore Component v2.0
Bacon D. H.; Pan, L.; Oldenburg, C. M. NRAP-Open-IAM: Open Wellbore Component v2.0, 2021. PNNL-31543. Richland, WA: Pacific Northwest National Laboratory. https://doi.org/10.2172/1825929.
Stress Controls Rupture Extent and Maximum Magnitude of Induced Earthquakes
Kroll, K. A.; Cochran, E. S. Stress Controls Rupture Extent and Maximum Magnitude of Induced Earthquakes. Geophysical Research Letters 2021, 48(11), e2020GL092148. https://doi.org/10.1029/2020GL092148.
Sealing of Fractures in a Representative CO2 Reservoir Caprock by Migration of Fines
Rod, K.A.; Cantrell, K.J.; Varga, T.; Battu, A.; Brown, C.F. Sealing of Fractures in a Representative CO2 Reservoir Caprock by Migration of Fines. Greenhouse Gases: Science and Technology 2021. 11(3), 483-492. PNNL-SA-160332, https://doi.org/10.1002/ghg.2061.
Public Data from Three US States Provide New Insights into Well Integrity
Lackey, G., Rajaram, H., Bolander, J., Sherwood, O.A., Ryan, J.N., Shih, C.Y., Bromhal, G.S., and Dilmore, R.M., “Public Data from Three US States Provide New Insights into Well Integrity,” Proceedings of the National Academy of Sciences of the United States of America, 118 (14) e2013894118. https://doi.org/10.1073/pnas.2013894118.
Incorporating Historical Data and Past Analyses for Improved Tensile Property Prediction of 9% Cr Steel
Wenzlick, M., Devanathan, R., Mamun, O., Rose, K., Hawk, J., 2021. Incorporating historical data & past analyses for improved tensile property prediction of 9Cr steel. 2021 TMS Annual Meeting & Exhibition, AI/Data informatics: Design of Structural Materials, Orlando, FL, March 2021. https://www.researchgate.net/publication/349544140_Incorporating_Historical_Data_and_Past_Analyses_for_Improved_Tensile_Property_Prediction_of_9_Cr_Steel
Aseismic deformations perturb the stress state and trigger induced seismicity during injection experiments
Duboeuf, L.; De Barros, L.; Kakurina, M.; Guglielmi, Y.; Cappa, F.; Valley, B. Aseismic deformations perturb the stress state and trigger induced seismicity during injection experiments. Geophysical Journal International 2021, 224(2), 1464-1475. doi: 10.1093/gji/ggaa515. https://academic.oup.com/gji/article-abstract/224/2/1464/5974524?redirectedFrom=fulltext
A knowledge-data framework and geospatial fuzzy logic-based approach to model and predict structural complexity
Justman, D., Creason, C.G., Rose, K., & Bauer, J., 2020. A knowledge-data framework and geospatial fuzzy logic-based approach to model and predict structural complexity. Journal of Structural Geology, 104153. https://doi.org/10.1016/j.jsg.2020.104153
Exploring Beneath the Basemap
Bauer, J., Justman, D., Mark-Moser, M., Romeo, L., Creason, C.G., and Rose, K., “Exploring Beneath the Basemap,” GIS for Science: Applying Mapping and Spatial Analytics, Vol. 2 (2020), pp. 51–67.
A systematic, science-driven approach for predicting subsurface properties
Rose, K., Bauer, J.R., and Mark-Moser, M., 2020, A systematic, science-driven approach for predicting subsurface properties. Interpretation, 8:1, 167-181 https://doi.org/10.1190/INT-2019-0019.1
Cumulative spatial impact layers: A novel multivariate spatio‐temporal analytical summarization tool
Romeo, L., Nelson, J., Wingo, P., Bauer, J., Justman, D., Rose, K. 2019. Cumulative spatial impact layers: A novel multivariate spatio‐temporal analytical summarization tool. Transactions in GIS.00:1–29. https://doi.org/10.1111/tgis.12558
F.C. Deemer Repository: Chemostratigraphic Characterization of the Baker Run Reserve No. 8 Well in Clearfield County, Pennsylvania, USA
Paronish, T., Cardenas, K., Crandall, D., and Jarvis, K., “F.C. Deemer Repository: Chemostratigraphic Characterization of the Baker Run Reserve No. 8 Well in Clearfield County, Pennsylvania, USA,” Geological Society of America Annual Meeting, Pittsburgh, PA, October 15–18, 2023.
NETL Core Characterization Lively Grove #1 St. Peter Sandstone
Crandall, D., Paronish, T., Workman, S., Gill, M., Jarvis, K., and Brandi, M., “NETL Core Characterization Lively Grove #1 St. Peter Sandstone,” Illinois Storage Corridor All Hands Meeting, Champaign, IL, September 26, 2023.
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
Advanced Machine Learning and Computational Methods
Schuetter, J. Tartakovsky, A. Shih, C. (2023, August 31). Advanced Machine Learning and Computational Methods [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS31_Schuetter.pdf
Overview of SMART Initiative
Siriwardane H. Mishra, S. (2023, August 31). Overview of SMART Initiative [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS31_Siriwardane.pdf
Assessing Risks of Rapid Commercial-Scale Deployment of Geologic Carbon Storage
Bacon, D. Camargo, J. Kirol, A. Haagenson, R. Creason, C. Lackey, G. Morkner, P. Zhou, Q. Cihan, A. Eier, J. Schmidt, B. (2023, August 31). Assessing Risks of Rapid Commercial-Scale Deployment of Geologic Carbon Storage [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS31_Bacon1.pdf
Developing a Tool to Quantify Liability of Geologic Carbon Storage
Morgan, D. Bello, K. Burghardt, J. Creason, C. Dilmore, R. Gasperikova, E. Grant, T. Huerta, N. Liu, G. Kroll, K. Mark-Moser, M. Oldenburg, C. Rasouli, P. Smith, M. Strazisar, B. Vasylkivska, V. Vikara, D. Warner, T. Wilson, K. (2023, August 31). Developing a Tool to Quantify Liability of Geologic Carbon Storage [Conference presentation]. FECM/NETL Carbon Management Meeting 2023. https://netl.doe.gov/sites/default/files/netl-file/23CM_CTS31_Morgan.pdf