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An Open-Source, Machine Learning-Informed, Geospatial-Driven Tool for Identifying and Evaluating CO2 Transport Routes

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.

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 

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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