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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

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

A Project Lifetime Approach to the Management of Induced Seismicity Risk at Geologic Carbon Storage Sites

Dennise C. Templeton, Martin Schoenball, Corinne E. Layland‐Bachmann, William Foxall, Yves Guglielmi, Kayla A. Kroll, Jeffrey A. Burghardt, Robert Dilmore, Joshua A. White; A Project Lifetime Approach to the Management of Induced Seismicity Risk at Geologic Carbon Storage Sites. Seismological Research Letters 2022;; 94 (1): 113–122. https://doi.org/10.1785/0220210284

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

Rules and Tools Crosswalk: A Compendium of Computational Tools to Support Geologic Carbon Storage Environmentally Protective UIC Class VI Permitting

Lackey, G.; Strazisar, B. R.; Kobelski, B.; McEvoy, M.; Bacon, D. H.; Cihan, A.; Iyer, J.; Livers-Douglas, A.; Pawar, R.; Sminchak, J.; Wernette, B.; Dilmore, R. M. Rules and Tools Crosswalk: A Compendium of Computational Tools to Support Geologic Carbon Storage Environmentally Protective UIC Class VI Permitting; NRAP-TRS-I-001-2022; DOE.NETL-2022.3731; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Pittsburgh, PA, 2022; p 120. DOI: https://doi.org/10.2172/1870412

Applied machine learning model comparison: Predicting offshore platform integrity with gradient boosting algorithms and neural networks

Dyer, A.S., Zaengle, D., Nelson, J.R., Duran, R., Wenzlick, M., Wingo, P.C., Bauer, J.R., Rose, K., and Romeo, L. (2022). Applied machine learning model comparison: Predicting offshore platform integrity with gradient boosting algorithms and neural networks, Marine Structures, Volume 83, 103152. https://doi.org/10.1016/j.marstruc.2021.103152.

Bayesian Approach for In-Situ Stress Prediction and Uncertainty Quantification for Subsurface Engineering

Bao, T.; Burghardt, J. A. Bayesian Approach for In-Situ Stress Prediction and Uncertainty Quantification for Subsurface Engineering. Rock Mechanics and Rock Engineering 2022, 55, 4531–4548. https://doi.org/10.1007/s00603-022-02857-0.

Thermal and solubility effects on fault leakage during geologic carbon storage

Meguerdijian, S.; Pawar, R. J.; Harp, D. R.; Jha, B. Thermal and solubility effects on fault leakage during geologic carbon storage. International Journal of Greenhouse Gas Control 2022, 116, Article 103633. https://doi.org/10.1016/j.ijggc.2022.103633.

Leakage from Coexisting Geologic Forcing and Injection-Induced Pressurization: A Semi-Analytical Solution for Multilayered Aquifers with Multiple Wells

Cihan, A.; Oldenburg, C. M.; Birkholzer, J. T. Leakage from Coexisting Geologic Forcing and Injection-Induced Pressurization: A Semi-Analytical Solution for Multilayered Aquifers with Multiple Wells. Water Resources Research 2022, 58 (5), e2022WR032343. https://doi.org/10.1029/2022WR032343.

Coupled hydromechanical modeling of induced seismicity from CO2 injection in the Illinois Basin

Luu, K.; Schoenball, M.; Oldenburg, C. M.; Rutqvist, J. Coupled hydromechanical modeling of induced seismicity from CO2 injection in the Illinois Basin. Journal of Geophysical Research: Solid Earth 2022, 127(5), e2021JB023496. https://doi.org/10.1029/2021JB023496.

Monitoring Geologic Carbon Sequestration Using Electrical Resistivity Tomography

Yang, X.; Carrigan, C. Monitoring Geologic Carbon Sequestration Using Electrical Resistivity Tomography, Geophysical Monitoring for Geologic Carbon Storage, Huang, L. (Ed.), 2022, 255-271. https://doi.org/10.1002/9781119156871.ch16.

Monitoring Carbon Storage Sites With Time-Lapse Gravity Surveys. Geophysical Monitoring for Geologic Carbon Storage

Appriou, D.; Bonneville, A. (2022). Monitoring Carbon Storage Sites With Time-Lapse Gravity Surveys. Geophysical Monitoring for Geologic Carbon Storage, Huang, L. (Ed.), 2022, 211-232. https://doi.org/10.1002/9781119156871.ch14.

Fundamentals of Electrical and Electromagnetic Techniques for CO2 Monitoring

Gasperikova, E.; Morrison, H. F. Fundamentals of Electrical and Electromagnetic Techniques for CO2 Monitoring. Geophysical Monitoring for Geologic Carbon Storage, Huang, L. (Ed.), 2022, 233-253. https://doi.org/10.1002/9781119156871.ch15.

Automatic Waveform Quality Control for Surface Waves Using Machine Learning

Chai, C., Kintner, J.A., Cleveland, K.M., Luo, J., Maceira, M., and Charles J. Ammon, C.J., “Automatic Waveform Quality Control for Surface Waves Using Machine Learning,” Seismological Research Letters, 93(3), 1683-1694, (2022) https://doi.org/10.1785/0220210302.

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.

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.

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