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.
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Bibliographies
Monitoring Carbon Storage Sites With Time-Lapse Gravity Surveys. Geophysical Monitoring for Geologic Carbon Storage
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.
NRAP-Open-IAM: Generic Aquifer Component Development and Testing
Bacon, D. H. NRAP-Open-IAM: Generic Aquifer Component Development and Testing. PNNL-32590, 2022, Pacific Northwest National Laboratory, Richland, WA. https://doi.org/10.2172/1845855.
Machine Learning Enhanced Seismic Monitoring at 100 km and 10 m Scales
Chai, C., Maceira, M., and EGS Collab Team, “Machine Learning Enhanced Seismic Monitoring at 100 km and 10 m Scales,” in Proceedings, 47th Workshop on Geothermal Reservoir Engineering, edited, Stanford University, Stanford, California, 47, 635–645, (2022) https://www.osti.gov/biblio/1845768.
Sensitivity of geophysical techniques for monitoring secondary CO2 storage plumes
Gasperikova, E.; Appriou, D.; Bonneville, A.; Feng, Z.; Huang, L.; Gao, K.; Yang, X.; Daley, T. Sensitivity of geophysical techniques for monitoring secondary CO2 storage plumes. International Journal of Greenhouse Gas Control 2022, 114, Article 103585. https://doi.org/10.1016/j.ijggc.2022.103585.
Scaling Behavior of Thermally Driven Fractures in Deep Low-Permeability Formations: A Plane Strain Model with 1-D Heat Conduction
Chen, B.; Zhou, Q. Scaling Behavior of Thermally Driven Fractures in Deep Low-Permeability Formations: A Plane Strain Model with 1-D Heat Conduction. Journal of Geophysical Research – Solid Earth 2022, Research Article. https://doi.org/10.1029/2021JB022964.
Distilling Data to Drive Carbon Storage Insights
Morkner, P.; Bauer, J.; Creason, C.; Sabbatino, M.; Wingo, P.; Greenburg, R.; Walker, S.; Yeates, D.; Rose, K. Distilling Data to Drive Carbon Storage Insights. Computers & Geosciences 2022, 158, Article 104945. https://doi.org/10.1016/j.cageo.2021.104945.
Deep Learning Inversion of Gravity Data for Detection of CO2 Plumes in Overlying Aquifers
Yang, X.; Chen, X.; Smith, M.M. Deep Learning Inversion of Gravity Data for Detection of CO2 Plumes in Overlying Aquifers. Journal of Applied Geophysics 2022, 196(104507). https://doi.org/10.1016/j.jappgeo.2021.104507.
A Review of Well Integrity Based on Field Experience at Carbon Utilization and Storage Sites
Iyer, J.; Lackey, G.; Edvardsen, L.; Bean, A.; Carroll, S.A.; Huerta, N.; Smith, M.M.; Torsaeter, M.; Dilmore, R.M.; Cerasi, P. A Review of Well Integrity Based on Field Experience at Carbon Utilization and Storage Sites. International Journal of Greenhouse Gas Control 2022, 113(103533). https://doi.org/10.1016/j.ijggc.2021.103533
NRAP-Open-IAM Multisegmented Wellbore Reduced-Order Model
Baek S.; Bacon, D. H.; Huerta, N.J. NRAP-Open-IAM Multisegmented Wellbore Reduced-Order Model. PNNL-32364, 2021. Richland, WA: Pacific Northwest National Laboratory. https://doi.org/10.2172/1840652.
Recommended Practices for Managing Induced Seismicity Risk Associated with Geologic Carbon Storage
Templeton, D., Schoenball, M., Layland-Bachmann, C., Foxall, W., Kroll, K., Burghardt, J., Dilmore, R., White, J.. Recommended Practices for Managing Induced Seismicity Risk Associated with Geologic Carbon Storage (Draft Report) 2021. NRAP Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV. https://www.osti.gov/biblio/1834402/
Field-scale fault reactivation experiments by fluid injection highlight aseismic leakage in caprock analogs: Implications for CO2 sequestration
Guglielmi, Y.; Nussbaum, C.; Cappa, F.; de Barros, L.; Rutqvist, J., Birkholzer, J. Field-scale fault reactivation experiments by fluid injection highlight aseismic leakage in caprock analogs: Implications for CO2 sequestration. International Journal of Greenhouse Gas Control 2021, 111, Article 103471. https://doi.org/10.1016/j.ijggc.2021.103471
Experimental workflow to estimate model parameters for evaluating long term viscoelastic response of CO2 storage caprock
Bao, T.; Burghardt, J. A.; Gupta, V.; Edelman, E.; McPherson, B. J.; White, M. D. Experimental workflow to estimate model parameters for evaluating long term viscoelastic response of CO2 storage caprock. International Journal of Rock Mechanics and Mining Sciences, 2021. 146, Article 104796. PNNL-SA-153774. doi:10.1016/j.ijrmms.2021.104796. https://www.sciencedirect.com/science/article/abs/pii/S1365160921001817?via%3Dihub
Alteration of Fractured Foamed Cement Exposed to CO2-Saturated Water: Implications for Well Integrity
Min, Y.; Montross, S.; Spaulding, R.; Brandi, M.; Huerta, N.; Thomas, R.; Kutchko, B. Alteration of Fractured Foamed Cement Exposed to CO2-Saturated Water: Implications for Well Integrity. Environmental Science & Technology 2021, 55(19), 13244-13253. https://doi.org/10.1021/acs.est.1c02699.
NRAP-open-IAM: A flexible open-source integrated-assessment-model for geologic carbon storage risk assessment and management
Vasykivska, V.; Dilmore, R.; Lackey, G.; Zhang, Y.; King, S.; Bacon, D.; Chen, B.; Mansoor, K.;Harp, D. NRAP-open-IAM: A flexible open-source integrated-assessment-model for geologic carbon storage risk assessment and management. Environmental Modeling & Software 2021, 143, Article 105114. https://www.sciencedirect.com/science/article/abs/pii/S1364815221001572?via%3Dihub
Propagation, arrest, and reactivation of thermally driven fractures in an unconfined half-space using stability analysis
Chen, B.; Zhou, Q. Propagation, arrest, and reactivation of thermally driven fractures in an unconfined half-space using stability analysis. Theoretical and Applied Fracture Mechanics 2021, 114, Article 102969. https://doi.org/10.1016/j.tafmec.2021.102969.
NRAP-Open-IAM: FutureGen2 Component Models
Bacon D. H. NRAP-Open-IAM: FutureGen2 Component Models, 2021. PNNL-31781. Richland, WA: Pacific Northwest National Laboratory. https://www.pnnl.gov/main/publications/external/technical_reports/PNNL-31781.pdf
NRAP-Open-IAM: FutureGen2 Component Models
Bacon D. H. NRAP-Open-IAM: FutureGen2 Component Models, 2021. PNNL-31781. Richland, WA: Pacific Northwest National Laboratory. https://www.osti.gov/servlets/purl/1825928.
Influence of Effective Stress and Transport on Mechanical and Chemical Alteration Processes at the Cement-Caprock Interface
Rhino, K.; Iyer, J.; Walsh, S. D. C.; Carroll, S. A.; Smith, M. M. Influence of Effective Stress and Transport on Mechanical and Chemical Alteration Processes at the Cement-Caprock Interface. International Journal of Greenhouse Gas Control 2021,109, Article 103340. https://www.sciencedirect.com/science/article/pii/S175058362100092X?via%3Dihub
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