Morkner, P., Martin, A., Bauer, J., Sabbatino, M., and Rose, K., “Curating Carbon Storage Data for Reuse: Enabling Research and Modeling from Earth’s Surface to Subsurface”. Brookhaven National Laboratory’s New York Scientific Data Summit 2024. Sept. 16, 2024. New York, NY.
disCO2ver
Unlocking data-driven capabilities for the entire CTS community
Bibliographies
Curating Carbon Storage Data for Reuse: Enabling Research and Modeling from Earth’s Surface to Subsurface
The Carbon Storage Site Mapping Inquiry Tool (MapIT)
Morkner, P., Schooley, C., Pantaleone, S., Shay, J., Strazisar, B., and Rose, K. “The Carbon Storage Site Mapping Inquiry Tool (MapIT)”. Geological Society of America Conference Connects, September 2024. Anaheim, CA.
Smart CO2 Transport-Route Planning Tool
Rose, K., Romeo, L, Leveckis, S., Gao, M., Houghton, B., Zaengle, D., Schooley, C., Justman, D., and Bauer, J., 2024, Smart CO2 Transport-Route Planning Tool, 15th International Pipeline Conference (IPC 2024), September 2024
The Integration and Mapping of an Open-Source National Well Resource to Inform Geologic Carbon Storage Site Selection and Risk Prevention: The CO2-Locate Database
Tetteh, D.A. Romeo, L. Pfander, I., Dyer, A.S., Sabbatino, M., Sharma, M., Cleaveland, C., McElroy, P., Rose, K., and J. Bauer. “The Integration and Mapping of an Open-Source National Well Resource to Inform Geologic Carbon Storage Site Selection and Risk Prevention: The CO2-Locate Database”. Geologic Society of America Connects, Sept. 2024. Anaheim, CA, 2024.
Spatial Seal Database for Prospective Storage Resources in the USA
Pantaleone, S., Martin, A., Marcelli, O., Morkner, P., and Rose, K., “Spatial Seal Database for Prospective Storage Resources in the USA,” FECM/NETL Carbon Management Research Project Review Meeting, Pittsburgh, PA, August 5–9, 2024.
Smart CO2 Transport-Route Planning Tool: Providing Data and Insights for Accelerating Carbon Transport & Storage Deployment
Romeo, L., Leveckis, S., Gao, M., Houghton, B., Zaengle, D., Schooley, C., Justman, D., Bauer, J. and K. Rose. Smart CO2 Transport-Route Planning Tool: Providing Data and Insights for Accelerating Carbon Transport & Storage Deployment. 2024 FECM / NETL Carbon Management Research Project Review Meeting. Pittsburgh, PA. August 5–9, 2024.
Paving the Way for Stakeholder use of Carbon Storage & Transport Digital Resources
Martin, A., Cleaveland, C., Justman, D., and Morkner, P., “Paving the Way for Stakeholder use of Carbon Storage & Transport Digital Resources,” FECM/NETL Carbon Management Research Project Review Meeting, Pittsburgh PA, August 5–9, 2024. https://netl.doe.gov/sites/default/files/netl-file/24CM/24CM_CTS1_5_Martin.pdf
Basin-Scale Structural Features Database: Spatial Datasets to Support Carbon Storage Resource Assessments
Justman, D., Pantaleone, S., Alexander, J., and Bauer, J., “Basin-Scale Structural Features Database: Spatial Datasets to Support Carbon Storage Resource Assessments,” FECM/NETL Carbon Management Research Project Review Meeting, Pittsburgh, PA, August 5–9, 2024. https://netl.doe.gov/sites/default/files/netl-file/24CM/24CM_CTS3_5_Justman.pdf
Carbon Storage Technical Viability Approach (CS TVA): An Integrated Approach for Feasibility and Data Resource Assessment
Cordero Rodriguez, N., Mulhern J., Creason C.G., Mark-Moser, M., Lara A., Shay J., and Rose, K., “Carbon Storage Technical Viability Approach (CS TVA): An Integrated Approach for Feasibility and Data Resource Assessment,” FECM/NETL Carbon Management Research Project Review Meeting, Pittsburgh, PA, August 5–9, 2024.
Carbon Matchmaker: Connecting CCUS Activities and Stakeholders
Bauer, J., Sharma, M., Rose, K., Dooley, K. Carbon Matchmaker: Connecting CCUS Activities and Stakeholders. FECM/NETL Carbon Management Meeting. Pittsburgh, PA. August 5-9, 2024
A curated data resource to support safe carbon dioxide transport-route planning
Schooley, C., Romeo, L., Pfander, I., Sharma, M., Justman, D., Bauer, J. and Rose, K., 2024. A curated data resource to support safe carbon dioxide transport-route planning. Data in Brief, 52, p.109984.
Computed Tomography Scanning and Petrophysical Measurements of Oriskany Cores Across Eastern Ohio
Pohl, M., Paronish, T., Mitchell, N., Jarvis, K., Sharma, M., Moore, J., Crandall, D., Danielsen, E.M., and McDonald, J., “Computed Tomography Scanning and Petrophysical Measurements of Oriskany Cores Across Eastern Ohio,” NELT-PUB-4800, NETL Technical Report Series, U.S. Department of Energy, National Energy Technology Laboratory, Morgantown, WV, 2024, p. 46, https://edx.netl.doe.gov/dataset/computed-tomography-scanningand-petrophysical-measurements-of-oriskany-cores-across-eastern-ohio, DOI: 10.2172/2322546.
Developing a Prototype Methodology to Rank Class II CO2-EOR Wells and Assess Reuse Potential for Geologic Sequestration
McElroy P.D., Zaengle, D.J., Tetteh, D.A., Bauer, J., and Rose, K., “Developing a Prototype Methodology to Rank Class II CO2-EOR Wells and Assess Reuse Potential for Geologic Sequestration,” NELT-PUB-XXXX, NETL Technical Report Series, U.S. Department of Energy, National Energy Technology Laboratory, Morgantown, WV, 2024.
Extensive Pipeline Location Data Resource: Integrating Reported Incidents, Past Environmental Loadings, and Potential Geohazards for Integrity Evaluations in the U.S. Gulf of Mexico
Isabelle Pfander, Lucy Romeo, Rodrigo Duran, Alec Dyer, Catherine Schooley, Madison Wenzlick, Patrick Wingo, Dakota Zaengle, Jennifer Bauer. Extensive pipeline location data resource: Integrating reported incidents, past environmental loadings, and potential geohazards for integrity evaluations in the U.S. Gulf of Mexico, Data in Brief, Volume 55, 2024, 110728, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2024.110728.
Computed Tomography Scanning and Geophysical Measurements of the UW Enterprises Well in Southwestern Indiana
Hu, L., Paronish, T., Crandall, D., Jarvis, K., Mitchell, N., Brown, S., Workman, S., Douds, A., and Mastalerz, M., “Computed Tomography Scanning and Geophysical Measurements of the UW Enterprises Well in Southwestern Indiana,” DOE/NETL-2024/4803, NETL Technical Report Series, U.S. Department of Energy, National Energy Technology Laboratory, Morgantown, WV, 2024, https://doi.org/10.2172/2371703.
Offshore Geologic Carbon Storage Data Collection and Data Gaps Analysis
Mulhern, J.S., Mark-Moser, M., and Rose, K., 2024. Offshore Geologic Carbon Storage Data Collection and Data Gaps Analysis. DOE.NETL-2024.4804; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Albany, OR, 2024; p 24. https://doi.org/10.2172/2382659
High-Resolution CT Scan Dataset of Lower Mount Simon Sandstone Samples from the Illinois Basin
Magdalena Gill, Mathias Pohl, Sarah Brown, Karl Jarvis, Dustin Crandall, High-resolution computed tomography scan dataset of lower Mount Simon Sandstone samples from the Illinois Basin, Data in Brief, Volume 55, 2024, 110643, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2024.110643.
Scoping Review of Global Offshore Geologic Carbon Storage Activities
Choisser, A., Mark-Moser, M., Mulhern, J., Rose, K. (2023) Scoping Review of Global Offshore Geologic Carbon Storage Activities. National Energy Technology Laboratory Technical Report Series, DOE/NETL-2024/4798 https://edx.netl.doe.gov/dataset/scoping-review-of-global-offshore-geologic-carbon-storage-activities
Computed Tomography Scanning and Petrophysical Measurements of Illinois Basin Coal Wells
Paronish, T.; Crandall, D.; Jarvis, K.; Workman, S.; Drosche, J.; Pohl, M.; Mckisic, T.; McLaughlin P.; Friedberg, J.; Delpomdor F. Computed Tomography Scanning and Petrophysical Measurements of Illinois Basin Coal Wells; DOE/NETL-2024/4799; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2024; p 56. http://edx.netl.doe.gov/dataset/computed-tomography-scanning-and-petrophysical-measurements-of-illinois-basin-coal-wells. DOI: 10.2172/2282147.
A Curated Data Resource to Support Safe Carbon Dioxide Transport-Route Planning
Catherine Schooley, Lucy Romeo, Isabelle Pfander, Maneesh Sharma, Devin Justman, Jennifer Bauer, Kelly Rose. A curated data resource to support safe carbon dioxide transport-route planning. Data in Brief, Volume 52, 2024, 109984, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2023.109984.
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 Geospatial Analytical Framework to Identify Seafloor Geohazards in the Northern Gulf of Mexico
Duran, R., Dyer, A., Mark-Moser, M., Bauer, J., Rose, K., Zaengle. D., Wingo, P. 2020. A Geospatial Analytical Framework to Identify Seafloor Geohazards in the Northern Gulf of Mexico. AGU Annual Meeting 2020, Session: NH010 – Geohazards in Marine and Lacustrine Environments. https://ui.adsabs.harvard.edu/abs/2020AGUFMNH004..08D/abstract
Optimizing Prediction of Reservoir Properties with Artificial Intelligence, Big Data, and the Subsurface Trend Analysis Method
Mark-Moser, M., Suhag, A., Rose, K., Wingo, P. (2020, November 9). Optimizing prediction of reservoir properties with artificial intelligence, big data, and the Subsurface Trend Analysis method [Conference presentation]. Machine Learning for Oil and Gas 2020, Nov. 9-11, Virtual. https://edx.netl.doe.gov/sites/offshore/optimizing-prediction-of-reservoir-properties-with-artificial-intelligence-big-data-and-the-subsurface-trend-analysis-method/
Advanced Geospatial Analytics and Machine Learning for Offshore and Onshore Oil & Natural Gas Infrastructure
Justman D., Romeo, L., Barkhurst, A., Bauer, J., Duran, R., Dyer, A., Nelson, J., Sabbatino, M., Wingo, P., Wenzlick, M., Zaengle, D., Rose, K. (2020, October 6-7). Advanced geospatial analytics and machine learning for offshore and onshore oil & natural gas infrastructure. [Virtual conference presentation]. GIS Week 2020. https://www.osti.gov/servlets/purl/1767074
Enhancing Knowledge Discovery of Unstructured Data to Support Context in Subsurface-Modeling Predictions
Hoover, B., Mark-Moser, M., Wingo, P., Suhag, A., Rose, K. 2021. Enhancing knowledge discovery of unstructured data to support context in subsurface-modeling predictions. ACE/SEG21, Denver, Colorado, Sept. 26th-Oct. 1st. https://www.osti.gov/servlets/purl/1843422
Using AI/ML to Curate Thousands of Carbon Storage Data Assets via EDX
Morkner, P., Rowan, C., Rose, K., Bauer, J., Sabbatino, M., Barhurst, A. Using AI/ML to Curate Thousands of Carbon Storage Data Assets via EDX. NETL Carbon Storage Review Meeting. September 10, 2020. Virtual. https://netl.doe.gov/sites/default/files/netl-file/20CSVPR_Morkner.pdf
Assessing Offshore CO2 Saline Storage Potential with the NETL Calculator
Romeo, L., Rose, K., Thomas, R., Mark-Moser, M., Barkhurst, A., Wingo, P., Bean, A. 2020. Assessing Offshore CO2 Saline Storage Potential with the NETL Calculator. Carbon Storage Review Meeting. September 11, 2020. Virtual. https://netl.doe.gov/sites/default/files/netl-file/20CSVPR_Romeo_11.pdf
Building an Analytical Framework to Measure Offshore Infrastructure Integrity, Identify Risk, and Strategize Future Use for Oil and Gas
Dyer, A., Romeo, L., Wenzlick, M., Bauer, J., Nelson, J., Duran, R., Zaengle, D., Wingo, P., and Sabbatino, M. 2020. Building an Analytical Framework to Measure Offshore Infrastructure Integrity, Identify Risk, and Strategize Future Use for Oil and Gas. Esri User Conference, San Diego, CA, July 13-15, 2020. https://www.osti.gov/servlets/purl/1604638
Harnessing the Power of DOE Data Computing for End-user Analytics, SMART Webinar
Rose, K., Barkhurst, A., Mark-Moser, M., Romeo, L., and Wingo, P., 2020, Harnessing the Power of DOE Data Computing for End-user Analytics, SMART Webinar 6/25/2020, https://www.youtube.com/watch?v=G5oUWSb-kHc&feature=youtu.be