Liu, G., Kumar, A., Zhao, S., Shih, C., Vasylkivska, V., Holcomb, P., Hammack, R., Ilconich, J., and Bromhal, G., “Multi-Level of Fracture Network Imaging: A HFTS Use Case and Knowledge Transferring,” presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, Houston, Texas, USA, (June 2022) https://doi.org/10.15530/urtec-2022-3723466.
disCO2ver
Unlocking data-driven capabilities for the entire CTS community
Bibliographies
Multi-Level of Fracture Network Imaging: A HFTS Use Case and Knowledge Transferring
Transient evolution of permeability and friction in a slowly slipping fault activated by fluid pressurization
Cappa, F.; Guglielmi, Y.; De Barros, L. Transient evolution of permeability and friction in a slowly slipping fault activated by fluid pressurization. Nature Communications, 2022, 13, 3039 (2022). https://doi.org/10.1038/s41467-022-30798-3.
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.
Data Curation for Basin-Scale Modeling in NRAP Phase III
Morkner, P., and Zhou, Q. Data Curation for Basin-Scale Modeling in NRAP Phase III. National Risk Assessment Partnership Annual Technical Meeting, May 2022. Oral Presentation. https://www.osti.gov/servlets/purl/1891859
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.
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
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