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An Updated Carbon Storage Open Database – Geospatial Data Aggregation to Support Scaling up CCS

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

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

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.

Novel Geomechanical Signal Methodologies (FWP-1022403)

Hakala, A. (2021, August 6). Novel Geomechanical Signal Methodologies. [Conference presentation]. Carbon Management and Oil and Gas Research Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/21CMOG_CS_Hakala6.pdf

SMART: Real Time Forecasting for Carbon Storage

McGuire, T. Yonkofski, C. (2021). SMART: Real Time Forecasting of Carbon Storage. 2021 Carbon Management and Oil and Gas Research Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/21CMOG_CS_McGuire6.pdf

Data Anonymization Tool Integration into DisCO2ver

Morkner, P., Bauer, J., Hoover, B., Wingo, P., Gao, M., Sharma, M., Neumann, C., Johnson, C., and Schuetter, J., “Data Anonymization Tool Integration into DisCO2ver,” presented at the Carbon Storage BIL Workshop on May 2, 2023.

Class VI Data Support Tool

Morkner, P., Strazisar, B., Pantaleone, S., Schooley, S., Shay, J., Pfander, I., and Rose, K., “Class VI Data Support Tool,” presented at the Carbon Storage BIL Workshop on May 2, 2023.

Developing a Nationally Integrated and Publicly Available Oil and Gas Well Database to Inform Safe Carbon Storage & Infrastructure Reuse Opportunities

Romeo, L., Pfander, I., Amrine, D., Sabbatino, M., Sharma, M., Tetteh, D., Rose, K., and Bauer, J., “Developing a Nationally Integrated and Publicly Available Oil and Gas Well Database to Inform Safe Carbon Storage & Infrastructure Reuse Opportunities,” CCUS 2024 SPE AAPG SEG, Houston, TX, March 11–13, 2024.

SMART Task 3: Pressure and Stress

White, J. Williams-Stroud, M. (2022). SMART Phase III: Pressure and Stress. 2022 Carbon Management Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/22CM_CTS18_White_2.pdf

Real Time Visualization of Rock and Fluid Properties

Alumbaugh, D. (2022). Real Time Visualization of Rock and Fluid Properties. 2022 Carbon Management Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/22CM_CTS18_Alumbaugh.pdf

SMART: Overview of SMART Initiative – Phase I Accomplishments and Phase II Plans

Bromhal, G. Mishra, S. (2022). SMART: Overview of SMART Initiative – Phase I Accomplishments and Phase II Introduction. 2022 Carbon Management Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/22CM_CTS18_Bromhal.pdf

NETL RIC CarbonSAFE Assistance (FWP-1022403)

Crandall, D. (2022). NETL RIC CarbonSAFE Assistance. 2022 Carbon Management Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/22CM_CTS18_Crandall.pdf

National Risk Assessment Partnership: Maturing Tools and Recommended Practices for Site and Basin-Scale Risk Management

Bacon, D. (2022). NRAP: Tools and Recommended Practices for Site and Basin Scale Risk Management. 2022 Carbon Management Project Review Meeting. https://netl.doe.gov/sites/default/files/netl-file/22CM_CTS18_Bacon.pdf

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