Data to Discovery – Big Data, Machine Learning Informed Tools for Offshore Spill Prevention
Rose, K., and Ciferno, J., “Data to Discovery – Big Data, Machine Learning Informed Tools for Offshore Spill Prevention,” IADC ART Committee Meeting, August 31, 2020, https://www.iadc.org/committees/advanced-rig-technology/
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., “Building an Analytical Framework to Measure Offshore Infrastructure Integrity, Identify Risk, and Strategize Future Use for Oil and Gas,” accepted to the Esri User Conference, San Diego, CA, July 13–15, 2020, https://www.esri.com/en-us/about/events/uc/overview.
Harnessing the Power of DOE Data Computing for End-User Analytics
Rose, K., Barkhurst, A., Mark-Moser, M., Romeo, L., and Wingo, P., “Harnessing the Power of DOE Data Computing for End-User Analytics,” SMART Webinar June 25, 2020, https://www.youtube.com/watch?v=G5oUWSb-kHc&feature=youtu.be.
Geospatial Machine Learning to Mitigate Offshore Infrastructure Hazards
Dyer, A., Zaengle, D., Romeo, L., Wingo, P., Wenzlick, M., Sabbatino, M., Bauer, J., Nelson, J., and Duran, R., “Geospatial Machine Learning to Mitigate Offshore Infrastructure Hazards,” accepted, Esri User Conference, San Diego, CA, July 13–17, 2020, https://www.esri.com/en-us/about/events/uc/overview.
Intelligent Risk Modeling for Offshore: Assessing Current and Future Infrastructure Hazards
Romeo, L., Rose, K., Barkhurst, A., Duran, R., Dyer, A., Nelson, J., Sabbatino, M., Wenzlick, M., Wingo, P., and Zaengle, D., “Intelligent Risk Modeling for Offshore: Assessing Current and Future Infrastructure Hazards,” June 2020.
Early Kick Detection from Downhole Measurements: A Novel Method for Reducing the Frequency and Magnitude of Loss-of-Well-Control Events
Tost, B.C., Rose, K., Carney, J., Aminzadeh, F., Suhag, A., Early kick detection from downhole measurements: a novel method for reducing the frequency and magnitude of loss-of-well-control events, Offshore Technology Conference, May 4-7, 2020, Houston, Texas, USA. https://doi.org/10.4043/30831-MS
Building Regional Baselines and a Suite of Spatial Tools to Better Prepare for Oil Spills
Romeo, L., Dyer, A., Nelson, J., Bauer, J., Rose, K., Dao, A., Wingo, P., Creason, C.G., and Sabbatino, M. Building Regional Baselines and a Suite of Spatial Tools to Better Prepare for Oil Spills, AGU Ocean Sciences Meeting 2020. https://www.agu.org/Ocean-Sciences-Meeting
Building an Analytical Framework to Measure Offshore Infrastructure Integrity, Identify Risk, and Strategize Future Use for Oil and Gas
Dyer, A., Rose, K., Bauer, J., Romeo, L., Barkhurst, A., Wingo, P., Sabbatino, M., Nelson, J., and Wenzlick, M., “Building an Analytical Framework to Measure Offshore Infrastructure Integrity, Identify Risk, and Strategize Future Use for Oil and Gas,” AGU Ocean Sciences, February 2020, https://www.agu.org/Ocean-Sciences-Meeting.
Building an Analytical Framework to Measure Offshore Infrastructure Integrity, Identify Risk, and Strategize Future Use for Oil and Gas
Dyer, A., Rose, K., Bauer, J., Romeo, L., Barkhurst, A., Wingo, P., Sabbatino, M., Nelson, J., and Wenzlick, M., “Building an Analytical Framework to Measure Offshore Infrastructure Integrity, Identify Risk, and Strategize Future Use for Oil and Gas,” American Geophysical Union (AGU) Ocean Sciences, February 2020
https://www.agu.org/Ocean-Sciences-Meeting
Flow of Cement Slurry in a Vertical Pipe
Accepted for presentation at the 2019 Joint Mathematics Meetings (JMM), American Mathematical Society (AMS), Mathematical Association of America (MAA), Baltimore, MD, Jan 16–19, 2019.
Tao, C.; Rosenbaum, E.; Kutchko, B.; Massoudi, M.
http://jointmathematicsmeetings.org/meetings/national/jmm2019/2217_intro
Effects of Shear-Rate Dependent Viscosity on the Flow of a Cement Slurry
Poster presented at the Dynamics Days 2019, International Conference on Nonlinear Dynamics, Northwestern University, Evanston, IL, Jan 4–6, 2019.
Tao, C.; Rosenbaum, E.; Kutchko, B.; Massoudi, M.
Static Gel Strength Working Group Update to the API Sub-Committee on Oil Well Cements (SC 10)
American Petroleum Institute (API) Winter Standards Meeting, San Antonio, TX, Jan 21–24, 2019.
Rosenbaum, E.; Benge, G.
Developing a Virtual Subsurface Data Framework: Transforming DOE’s EDX Data Lake Using ML/NLP
Rose, K., 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., “Developing a Virtual Subsurface Data Framework: Transforming DOE’s EDX Data Lake Using ML/NLP”, AGU, 12/2019.
https://agu.confex.com/agu/fm19/meetingapp.cgi/Paper/596761
A Novel Fuzzy Logic Geospatial Approach to Characterize and Predict Geologic Structural Complexity
Justman, D., Creason, C.G., Rose, K., and Bauer, J.R., “A Novel Fuzzy Logic Geospatial Approach to Characterize and Predict Geologic Structural Complexity”, AGU, 12/2019.
https://agu.confex.com/agu/fm19/meetingapp.cgi/Paper/600615
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., and Baker, V., “Moving Data “Rocks” Out of Hard Places: Adapting and Innovating Data Science Tools to Improve Geoscience Analytics”.
https://agu.confex.com/agu/fm19/meetingapp.cgi/Paper/608555
Developing a Virtual Subsurface Data Framework: Transforming DOE’s EDX data lake using ML/NLP
Presented at AGU Annual Meeting 2019, San Francisco, CA, Dec 9-13, 2019.
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.
Integrating artificial intelligence with the Subsurface Trend Analysis to predict porous media properties
Presented at AGU Annual Meeting 2019, San Francisco, CA, Dec 9-13, 2019.
Mark-Moser, M.; Rose, K.; Bauer, J.; Wingo, P.; and Suhag, A.
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., “Putting Data to Work: Transforming Disparate Open-Source Data for Engineered-Natural Systems and Models”.
https://agu.confex.com/agu/fm19/meetingapp.cgi/Paper/600618
Integrating Artificial Intelligence with the Subsurface Trend Analysis to Predict Porous Media Properties
Mark-Moser, M., Rose, K., Bauer, J., Wingo, P., and Suhag, A., “Integrating Artificial Intelligence with the Subsurface Trend Analysis to Predict Porous Media Properties”, AGU, 12/2019.
https://agu.confex.com/agu/fm19/meetingapp.cgi/Paper/609860
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., and Zoch, G., “Back to the Future: Rescue, Curation, and Transformation of a Corpus of Carbon Storage Data”, AGU, 12/2019.
https://agu.confex.com/agu/fm19/meetingapp.cgi/Paper/600855
Subsurface Trend Analysis: A Methodical Framework for Artificial Intelligence Subsurface Property Prediction
Rose, K., Mark-Moser, M., and Suhag, A., “Subsurface Trend Analysis: A Methodical Framework for Artificial Intelligence Subsurface Property Prediction,” Machine Learning for Unconventional Resources (MLUR), University of Houston, Houston, TX, November 18, 2019.
Bringing uncertainty to the forefront of informed decision making in oil and gas exploration and development
Presented at SPE Annual Technical Conference and Exhibition, Calgary, Canada, Sept. 30-Oct. 2, 2019.
Wanjau, P., Bloomfield, R., Bauer, J., and Rose, K.
Lessons Learned, Best Practices, and Emerging Technologies of Energy Data Management
DOE Data Day, September 25-26, 2019.
Rowan, C., Rose, K., Bauer, J., Jones, T., Baker, V., Barkhurst, A., McFarland, D., Obradovich, J., Chittum, J., Dehlin, M. 2019.
Lessons learned from present and past data preservation and rescue efforts to build “smart” tools for FE data products
Lessons Learned, Best Practices, and Emerging Technologies of Energy Data Management.
DOE Data Day, September 25-26, 2019.
Rose, K., Rowan, C., Baker, V., Bauer, J., Jones, T., Sabbatino, M.
Update on DOE FE’s Virtual Subsurface Data Framework: EDX and ML/NLP Algorithms to Transform Data for Engineered-Natural Systems
Presented at Addressing the nation’s energy needs through technology innovation – 2019 carbon capture, utilization, storage, and oil and gas technologies integrated review meeting, Pittsburgh, PA, Aug 26-30, 2019.
Rose, K., Rowan, C., Sabbatino, M., Creason, C.G., Romeo, L., Bauer, J., Baker, V., Jones, T.J.
Corrosion Behavior of 13Cr Casing in Cement Simulated Pore Solution
Presented at the 227th Electrochemical Society Meeting, Chicago, IL, May 24–28, 2015.
Sengupta, A.; Beck, J.; Zhao, H.; Schatz, R.; Ziomek-Moroz, M.; Lvov, S. N.
Assessment of Pressurized Foamed Cement Used in Deep Offshore Wells
Presented at the Offshore Technology Conference, Houston, TX, May 4–7, 2015; OTC-25994-MS.
Kutchko, B.; Moore, J.; Crandall, D.; Gieger, C.; Gill, M.; Haljasmaa, I.; Spaulinding, R.; Harbert, W.; Mergaman, A.; Dalton, L.; Rosenbaum, E.; McIntyre, D.; Benge, G.; Buford, C.; Shine, J.
An Assessment of the Dynamic Modulus of Atmospherically Generated Foamed Cements
Presented at the Offshore Technology Conference, Houston, TX, May 4-7, 2015; OTC 25776-MS.
Spaulding, R.; Haljsmaa, I.; Gieger, C.; Kutchko, B.; Benge, G.; DeBruijn, G.; Shine, J.; Harbert, W.
Adaption of BLOSOM (Blowout and Spill Occurrence Model) to High Performance Computing
Invited presentation at the 2015 AIChE Spring Meeting and 11th Global Congress on Process Safety, Session 10: Computing and Systems Technology Division, Austin, TX, April 26–30, 2015.
Vielma, J.; Sim, L.; Rose, K.; Duran, R.; Umhoefer, J.
Spatially Integrated Multivariate Probability Assessment (SIMPA)
Presented at the Association of American Geographers (AAG) Annual Meeting, Chicago, IL, April 21–25, 2015.
Nelson, J.; Bauer, J.; Madsen, L.; Ossiander, M.; Pesynska, M.; Mbuthia, J.; Rose, K.
EDX, Coordination System for Rapid Response and Geospatial Decision Making
Presented at the Esri Petroleum GIS Conference, Houston, TX, April 8–10, 2015.
Rose, K.; Dehlin, M.; Barkhurst, A.; Rowan, C.; Bauer, J.; Sim, L.; Nelson, J.; Romeo, L.
NETL’s EDX, Data Management and Geospatial Analysis for Subsurface Science
Presented at the Esri Petroleum GIS Conference, Houston, TX, April 8–10, 2015.
Rose, K.; Bauer, J.; Rowan, C.; Barkhurst, A.; Dehlin, M.; Sim, L.; Romeo, L.; Nelson, J.
Multivariate Approach to Reduce Uncertainty and Constraining Subsurface Property Trends
Presented at the Esri Petroleum GIS Conference, Houston, TX, April 8–10, 2015.
Mark-Moser, M.; Rose, K.; Miller, R.; Bauer, J.
Assessing Risks to Prevent Impacts Associated with Unconventional Shale Resources Using Spatial Data Analysis in the Appalachian Basin
Presented at the Esri Petroleum GIS Conference, Houston, TX, April 8–10, 2015.
Justman, D.; Rose, K.; Glosser, D.; Donaldson, D.; Groseclose, A.
Utilizing GIS for Engineered-Natural Systems Risk Reduction and Incident Response
Presented at the Esri Petroleum GIS Conference, Houston, TX, April 8–10, 2015.
Bauer, J.; Rose, K.; Nelson, J.; Romeo, L.; Madsen, L.; Ossiander, M.; Pesynska, M.; Mbuthia, J.
NETL’s Variable Grid Method: Analyzing Subsurface Trends and Reducing Risk
Presented at the Esri Petroleum GIS Conference, Houston, TX, April 8–10, 2015.
Bauer, J.; Rose, K.; Barkhurst, A.
Development of Electrochemical Sensors for Monitoring Corrosion in Extreme Environments
Presented at NACE Corrosion 2015, Dallas, TX, March 15–19, 2015.
Hall, D.; Beck, J.; Lvov, S.; Ziomek-Moroz, M.
Corrosion of Carbon Steels in H2S Containing Alkaline Brines
Presented at NACE Corrosion 2015, Dallas, TX, March 15–19, 2015.
Feng R.; Beck J.; Lvov S.; Ziomek-Moroz, M.
Development of Electrochemical Sensors for Monitoring Corrosion in Extreme Environments
Presented at NACE Corrosion 2015, Dallas, TX, March 15–19, 2015.
Beck J.; Lvov S.; Ziomek-Moroz, M.
Sour Environment Temperature Effects on Fatigue Crack Propagation in Ultra-high Strength Low Alloy Martensitic Steel
Presented at NACE Corrosion 2015, Dallas, TX, March 15–19, 2015.
Ziomek-Moroz, M.; Hawk, J. A.; Thodla, R.; Gui, F.
Assessing the Vulnerability and Implications of Modeled Oil Spills in the Gulf of Mexico
Presented at the 2015 Oil Spill and Ecosystem Science Conference, Houston, TX, Feb 16–19, 2015.
Nelson, J., et al.
Going Beyond the Publication: NETL’s Energy Data Exchange (EDX), A Coordination and Collaboration Platform to Help Make Science More Accessible
Presented at the 2015 Oil Spill and Ecosystem Science Conference, Houston, TX, Feb 16–19, 2015.
Bauer, J.; Rose, K.; Rowan, C.; Dehlin, M.
Lessons Learned Adapting NETL’s Gulf of Mexico Integrated Assessment Model for other U.S. Regions
Presented at the 2015 Oil Spill and Ecosystem Science Conference, Houston, TX, Feb 16–19, 2015.
Bauer, J.; Nelson, J.; Sim, L.; Rose, K.; Romeo, L.; Khangaonkar, T.; Bunn, A.
Identifying Broad Spatial Patterns and Trends of Subsurface Geology in the Gulf of Mexico to Improve Offshore Hydrocarbon Production Risk Assessments
Presented at the Ocean Sciences Meeting, Honolulu, HI, Feb 23–28, 2014.
Bauer, J.; Rose, K.; Disenhof, C.; Mark-Moser, M.
Novel Geovisualization approach to Simultaneously Communicate Spatial Trends and Uncertainty Associated with Discontinuous Datasets
Presented at the Ocean Sciences Meeting, Honolulu, HI, Feb 23–28, 2014.
Bauer, J.; Rose, K.
Estimating Accidental Discharges: The Case of the Deepwater Horizon Oil Spill of 2010
Invited Seminar, Stanford University, Stanford, CA, Feb 18, 2014.
Savas, Ö.
