Bauer, J., Justman, D., and Rose. K. Invited presentation. Machine Learning Clustering to Identify Natural Gas Pipeline Infrastructure Vulnerabilities. Department of Homeland Security Science & Technology Directorate 2021 Big Data Series Workshop, March 24, 2021. https://www.osti.gov/biblio/1814179
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Unlocking data-driven capabilities for the entire CTS community
Bibliographies
ML Clustering to Identify Natural Gas Pipeline Infrastructure Vulnerabilities
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
Tools for Data Collection, Curation, and Discovery to Support Carbon Storage Insights
Mark-Moser, M., Rose, K., Baker, V. D. (2020, December 17). Tools for Data Collection, Curation, and Discovery to Support Carbon Storage Insights. [Conference presentation]. Session: IN042 – Utilizing unstructured data in Earth Science Poster Session. https://ui.adsabs.harvard.edu/abs/2020AGUFMIN0140002M/abstract
NRAP-Open-IAM: A New, Open-Source Code for Integrated Assessment of Geologic Carbon Storage Containment Effectiveness and Leakage Risk
Vasylkivska, V., Bacon D., Chen, Bailian, Dilmore R., Harp D., King S., Lackey G., Lindner E., Liu Guoxiang, Mansoor K., Zhang Yingqi. NRAP-Open-IAM: A New, Open-Source Code for Integrated Assessment of Geologic Carbon Storage Containment Effectiveness and Leakage Risk. AGU Annual Fall Meeting (Virtual), 2020 Session: GC110. Advances in Computational Methods for Geologic CO2 Sequestration I eLightning. https://ui.adsabs.harvard.edu/abs/2020AGUFMGC110..10V/abstract
Developing a structured seafloor sediment database from disparate datasets using SmartSearch
Mark-Moser, M., Rose, K., Baker, V. D. 2020. Developing a structured seafloor sediment database from disparate datasets using SmartSearch. AGU Annual Fall Meeting (Virtual), 2020. Session: IN042 – Utilizing unstructured data in earth science https://www.osti.gov/servlets/purl/1776797
Probabilistic Machine Learning for Integrated Social-Natural-Physical Assessment
Ghanem, R., Zhang, R., Rose, K., invited talk, Probabilistic Machine Learning for Integrated Social-Natural-Physical Assessment, AGU Annual Meeting 2020, Session: H027 – Artificial Intelligence and Machine Learning for Multiscale Model-Experimental Integration https://agu.confex.com/agu/fm20/prelim.cgi/Session/103051
Deep Learning to Locate Seafloor Landslides in High Resolution Bathymetry
Dyer, A., Zaengle, D., Mark-Moser, M., Duran, R., Suhag, A., Rose, K., Bauer, J. Deep Learning to Locate Seafloor Landslides in High Resolution Bathymetry. AGU Annual Fall Meeting (Virtual), 2020. Session: NH007 – Data Science and Machine Learning for Natural Hazard Sciences II Posters. https://www.osti.gov/servlets/purl/1779617
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
Estimating Carbon Storage Resources in Offshore Geologic Environments
Cameron, E.; Thomas, R.; Bauer, J.; Bean, A.; DiGiulio, J.; Disenhof, C.; Galer, S.; Jones, K.; Mark-Moser, M.; Miller, R.; Romeo, L.; Rose, K. Estimating Carbon Storage Resources in Offshore Geologic Environments; NETL-TRS-14-2018; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Albany, OR, 2018; p 32. DOI: 10.18141/1464460 https://edx.netl.doe.gov/dataset/estimating-carbon-storage-resources-in-offshore-geologic-environments
Variable Grid Method: An Intuitive Approach for Simultaneously Quantifying and Visualizing Spatial Data and Uncertainty
Bauer, J. R., and Rose, K., 2015, Variable Grid Method: an Intuitive Approach for Simultaneously Quantifying and Visualizing Spatial Data and Uncertainty, Transactions in GIS. 19(3), p. 377-397. https://doi.org/10.1111/tgis.12158
An Environmental, Energy, Economic, and Social Justice Database for Carbon Capture and Storage Applications
Sharma, M., White, C., Cleaveland, C., Romeo, L., Rose, K., and Bauer, J., “An Environmental, Energy, Economic, and Social Justice Database for Carbon Capture and Storage Applications,” American Geophysical Union (AGU) Fall Meeting 2023, San Francisco, CA, December 11–15, 2023.
Developing a Data Integration and Curation Method from Siloed Resources with Multi-Discipline Applicability
Romeo, L., Bauer, J., Pfander, I., Sabbatino, M., Wenzlick, M., and Rose, K., “Developing a Data Integration and Curation Method from Siloed Resources with Multi-Discipline Applicability,” DOE Data Days, October 24–26, 2023.
How to Flatten the Earth: Reviewing DOE’s Use of Coordinate Systems to Inform Agency-Wide Guidance
Bauer, J., Linard, J., Cuneo, M., and Zvolanek, E., “How to Flatten the Earth: Reviewing DOE’s Use of Coordinate Systems to Inform Agency-Wide Guidance,” DOE Data Days, October 24–26, 2023.
Energy Data eXchange: NETL’s Digital Library and Virtual Laboratory Supporting the Fossil Energy and Carbon Management Research Community
Kuhn, K., Rose, K., Rowan, C., Bauer, J., Jones, T., Baker, V., McFarland, D., Obradovich, J., Maurice, A., Mondello, J., Williams, T., and Dehlin, M., “Energy Data eXchange: NETL’s Digital Library and Virtual Laboratory Supporting the Fossil Energy and Carbon Management Research Community,” DOE Data Days, October 24–26, 2023, https://data-science.llnl.gov/d3.
EDX Spatial: Leveraging Cloud and Hybrid Data Management Resources for Spatial Data
Morkner, P., Bauer, J., Pramuk, J., Sabbatino, M., Kuhn, K., Choisser, A., Justman, D., Schooley, C., and Rose, K., “EDX Spatial: Leveraging Cloud and Hybrid Data Management Resources for Spatial Data,” DOE Data Days, October 24–26, 2023.
Developing a National Structural Complexity Database for U.S. Saline Basins
Justman, D., Creason, C. G., Pantaleone, S., Amrine, D., Rose, K. (2023, October 15-18). Developing a National Structural Complexity Database for U.S. Saline Basins [Conference presentation]. Geological Society of America Annual Meeting. Pittsburgh, PA. https://gsa.confex.com/gsa/2023AM/meetingapp.cgi/Paper/391762
Carbon Storage Open Data Geospatial Curation and Accessibility
Choisser, A., Morkner, P., Sabbatino, M., Bauer, J., Rose, K. (2023, October 16-18). Carbon Storage Open Data Geospatial Curation and Accessibility [Conference presentation]. Geological Society of America Annual Meeting. Pittsburgh, PA. https://community.geosociety.org/gsa2023/home
RokBase: Digital Rock Visualization and Exploration Web Application
Sharma, M. Paronish, T. Crandall, D. Naberhaus, T. Nakacwa, S. (2023, October 16). RokBase: Digital Rock Visualization and Exploration Web Application [Conference presentation]. GSA Connects Conference 2023. https://gsa.confex.com/gsa/2023AM/meetingapp.cgi/Paper/394714
CO2-Locate: A National Oil & Gas Wellbore Database and Visualization Tool to Support Geological and Environmental Assessment
Sharma, M. Romeo, L. Bauer, J. Amrine, D. Pfander, I. Sabbatino, M. Rose, K. (2023, October 15) CO2-Locate: A National Oil & Gas Wellbore Database and Visualization Tool to Support Geological and Environmental Assessment [Conference presentation]. GSA Connects Conference 2023. https://gsa.confex.com/gsa/2023AM/meetingapp.cgi/Paper/395013
Carbon Storage Technical Viability Approach (CS TVA): Multi-Factor Data Assessment Workflow to Determine Geologic Sequestration Feasibility
Mulhern, J., Mark-Moser, M., Creason, C.G., Shay, J., and Rose, K., “Carbon Storage Technical Viability Approach (CS TVA): Multi-Factor Data Assessment Workflow to Determine Geologic Sequestration Feasibility,” Geological Society of America Annual Meeting, Pittsburgh, PA, October 15–18, 2023.