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
disCO2ver
Unlocking data-driven capabilities for the entire CCS community
Bibliographies
Geo-Data Science Driven Insights Into CCS EJ/SJ Opportunities in Support of Energy Community Transitions
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
Multi-Level of Fracture Network Imaging: A HFTS Use Case and Knowledge Transferring
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.
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.
NETL Well Integrity Workshop: Identifying Well Integrity Research Needs for Subsurface Energy Infrastructure
Lackey, G.; Dilmore, R. NETL Well Integrity Workshop: Identifying Well Integrity Research Needs for Subsurface Energy Infrastructure; DOE/NETL-2021/2660; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Pittsburgh, PA, 2021; p 100. DOI: 10.2172/1828877 https://www.osti.gov/biblio/1828877
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.
Possible Controls on Porosity Preservation in the Andaman Forearc Gas Hydrate System
Johnson, J., Rose, K., Torres, M. (2020, Jan). Possible controls on porosity preservation in the Andaman forearc gas hydrate system: OSR, AOM, and/or marine silicate weathering [Conference presentation]. Geologic Society of America Meeting 2020, Session: T99. Records of Early Diagenesis in Modern and Ancient Sediments. https://community.geosociety.org/gsa2020/program/technical
Back to the Future: Rescue, Curation, and Transformation of a Corpus of Carbon Storage Data
Sabbatino, M., Baker, V., Bauer, J., Creason, C., Romeo, L., Rose, K., Rowan, C., Zoch, G., submitted, Back to the Future: Rescue, Curation, and Transformation of a Corpus of Carbon Storage Data, Annual Meeting 2019, Session: AGU Dirty Stories of Data Rescue. https://www.osti.gov/servlets/purl/1778129
Developing a Virtual Subsurface Data Framework: Transforming DOE’s EDX data lake using ML/NLP
Rose, R. Rowan, C., Sabbatino, M., Baker, V., Bauer, J., Creason, C.G., Jones, T.J., Justman, D., Romeo, L., Suhag, A., Yeates, D., and Walker, S., submitted, Developing a Virtual Subsurface Data Framework: Transforming DOE’s EDX data lake using ML/NLP, Annual Meeting 2019, Session: IN020 – Data Integration: Enabling the Acceleration of Science Through Connectivity, Collaboration, and Convergent Science. https://agu.confex.com/agu/fm19/meetingapp.cgi/Paper/596761
Moving data “rocks” out of hard places: adapting and innovating data science tools to improve geoscience analytics
Yeates, D., Walker, S., Fillingham, J., Sabbatino, M., Suhag, A., Rose, K., Mark-Moser, M., Creason, C.G., Baker, V., submitted, Moving data “rocks” out of hard places: adapting and innovating data science tools to improve geoscience analytics, AGU Annual Meeting 2019, Session IN005 – AI for Model and Data Integration in the Geosciences. https://ui.adsabs.harvard.edu/abs/2019AGUFMIN32B..09Y/abstract
Subsurface Trend Analysis
Rose, K., Mark-Moser, M., Suhag, A. Subsurface Trend Analysis: A methodical framework for artificial intelligence subsurface property prediction. Machine Learning for Unconventional Resources, Nov. 18th 2019, University of Houston, Texas. https://www.osti.gov/servlets/purl/1778138
Putting Data to Work: Transforming Disparate Open-Source Data for Engineered-Natural Systems and Models
Creason, C.G., Romeo, L., Bauer, J., Rose, K., Rowan, C., and Sabbatino, M., 2019, Putting Data to Work: Transforming Disparate Open-Source Data for Engineered-Natural Systems and Models, AGU Annual Meeting 2019, Session: IN020 – Data Integration: Enabling the Acceleration of Science Through Connectivity, Collaboration, and Convergent Science. https://www.osti.gov/biblio/1778210
