Data enhanced kick detection: NETL’s low-cost monitoring and early detection technology
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.; Tost, B.; Suhag, A.; Carney, J.
An Ounce of Prevention is Worth a Pound of Response, NETL’s Big Data Technologies for Offshore Spill Prevention
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.
Building Data-Driven Analytical Approaches and Tools to Evaluate Offshore Infrastructure Integrity
Romeo, L., Wenzlick, M., Dyer, A., Sabbatino, M., P. Wingo, Nelson, J., Barkhurst, A., Bauer, J., and Rose, K. 2019. Building Data-Driven Analytical Approaches and Tools to Evaluate Offshore Infrastructure Integrity. Addressing the nation’s energy needs through technology innovation – 2019 carbon capture, utilization, storage, and oil and gas technologies integrated review meeting, Pittsburgh, PA, August 26–30, 2019
NETL Research Update
Presented at the API 2019 Exploration and Production Standards Conference, in New Orleans, Louisiana, June 24–27, 2019.
Rosenbaum, E. NETL Research Update.
Two Science-Based, Machine Learning Models for Improved Subsurface Geohazard and Resource Assessments
Presented at Machine Learning in Oil and Gas, Houston, TX, April 17 – 18, 2019.
Rose, K.
Overcoming the publication value bias – Increasing your research impact by pairing dataset and tool citations with standard publication citations using EDX
Presented at the U.S. DOE Mastering the Subsurface through Technology Innovation, Partnership and Collaboration: Carbon Storage and Oil and Natural Gas Technologies Review Meeting, Pittsburgh, PA, Aug 13–16, 2018.
Rose, K.; Kutchko, B.; Bauer, J.; Sabbatino, M.; Romeo, L.; Spaulding, R.; Rowan, C.
Unlocking the power of data and online analytics for oil spill prevention and operational decision making
Presented at the U.S. DOE Mastering the Subsurface through Technology Innovation, Partnership and Collaboration: Carbon Storage and Oil and Natural Gas Technologies Review Meeting, Pittsburgh, PA, Aug 13–16, 2018.
Bauer, J.; Wingo, P.; Romeo, L.; Barkhurst, A.; Rose, K.; Nelson, J.; Bunn, A.
Developing a Smarter Way to Search – Parsing the online “forest” to find data for your research needs via EDX
Presented at the U.S. DOE Mastering the Subsurface through Technology Innovation, Partnership and Collaboration: Carbon Storage and Oil and Natural Gas Technologies Review Meeting, Pittsburgh, PA, Aug 13–16, 2018.
Baker, D. V.; Bauer, J.; Rose, K.
Combining products of fossil energy R&D with advanced data computing to develop a virtual subsurface data framework for the U.S.
Presented at InterPore2018, New Orleans, May 14–17, 2018.
Rose, K.; Justman, D.; Baker, D. V.; Bauer, J.; Dehlin, M.; Jones, T. J.; Rowan, C.; Digiulio, J.; Sabbatino, M.
Starting “Small” to Go Big – Building a Living Database
Presented at the Extremely Large Database Conference, Stanford Campus, CA, April 30–May 2, 2018.
Sabbatino, M.; Baker, D.V.; Rose, K.; Bauer, J.; Romeo, L.; Barkhurst, A.
Reducing Uncertainty in the Subsurface: Refining Subsurface Property Predictions in the Gulf of Mexico Using the Subsurface Trend Analysis
Presented at the Haynesville DPA Playmaker Forum, Houston, TX, Apr 26, 2018.
Rose, K.; Mark-Moser, M.; DiGiulio, J. P.; Bauer, J. R.
Choose Your Own Adventure: NETL’s Innovative Cumulative Spatial Impact Layers Tool for Processing, Analyzing, and Visualizing Spatio-Temporal Big Data
Presented at the Ocean Sciences Meeting, Portland, OR, Feb 11–16, 2018.
Romeo, L.; Wingo, P.; Barkhurst, A.; Chittum, J.; Bauer, J.; Rose, K.
Turning the data deluge into insights for decisions using NETL’s Spatially Weighted Impact Model
Presented at the Ocean Sciences Meeting, Portland, OR, Feb 11–16, 2018.
Bauer, J.; Romeo, L.; Nelson, J.; Wingo, P.; Bunn, A.; Barkhurst, A.; Chittum, J.; Rose, K.
Dispersant Application Simulation with BLOSOM
Presented at the Gulf of Mexico Oil Spill and Ecosystem Sciences Conference, New Orleans, LA, Feb 5–8, 2018.
Wingo, P.; Duran, R.; Vielma, J.; Burgess, W.; Rose, K.
Swimming through the data deluge to inform oil spill prevention needs
Presented at the Gulf of Mexico Oil Spill and Ecosystem Science Conference, New Orleans, LA, Feb 5–8, 2018.
Bauer, J.; Romeo, L.; Nelson, J.; Wingo, P.; Bunn, A.; Barkhurst, A.; Chittum, J.; Rose, K.
Cumulative Spatial Impact Layers – Choose Your Own Adventure: NETL’s Innovative Tool for Processing, Analyzing, and Visualizing Spatio-Temporal Data
Presented at the Computational Geosciences Meeting, NETL Albany, OR, Jan 2018.
Romeo, L.; Wingo, P.; Justman, D.; Barkhurst, A.; Bauer, J.; Rose, K.
A Smarter Way to Search, Share and Utilize Open-Spatial Online Data for Energy R&D – Custom Machine Learning and GIS Tools in U.S. DOE’s Virtual Data Library & Laboratory, EDX
Invited talk at the American Geophysical Union Annual Meeting, Dec 11–15, 2017.
Rose, K.; Baker, V.; Barkhurst, A.; Bean, A.; DiGiulio, J.; Jones, K.; Jones, T. J.; Justman, D.; Miller III, R.; Romeo, L.; Sabbatino, M.; Tong, A.
Working Smarter Not Harder – Developing a Virtual Subsurface Data Framework for US Energy R&D
Invited presentation at the American Geophysical Union Annual Meeting, Dec 11–15, 2017.
Rose, K.; Baker, D.V.; Bauer, J.; Dehlin, M.; Jones, T. J.; Rowan, C.
Corrosion Performance of Ultra-High Strength Low Alloy Steel in CO2/H2S-containing Brines
Presented at the 13th Annual Hydrogen Embrittlement Workshop, ASTM Committee F07.04 on Hydrogen Embrittlement, Atlanta, GA, Nov 16, 2017.
Ziomek-Moroz, M.; Hawk, J. A.; Thodla, R.; Lvov, S.
Update on NETL’s Real Time Kick Detection Technology
Invited presentation at the International Association of Drilling Contractors in Houston, TX, Nov 15, 2017.
Rose, K.; Long, R.
Quasi-Steady Structures Organizing Lagrangian Transport
Instituto de Ciencias del Mar, Departamento de Oceanografıa Fısica. Barcelona, Spain, November 2017.
Duran, R.
Reducing Uncertainty in the Subsurface: Applying the Subsurface Trend Analysis method to refine subsurface property predictions in the Gulf of Mexico
Presented at the Geological Society of America Annual Meeting, Oct 22–25, 2017.
Mark-Moser, M.; Rose, K.; Miller, R.; Bauer, J.; Cameron, E.
Application of Data Science to the Study and Design of 9-12% Cr Steel
Presented at the Materials Science and Technology 2017, Data and Tools for Materials Discovery and Design, Pittsburgh, PA, Oct 8–12, 2017.
Verma, A. K.; Hawk, J. A.; Bruckman, L.; Romanov, V.; French, R. H.; Carter, J. L. W.
Application of Data Science to the Study and Design of 9-12% Cr Steel
Poster presented at the 3rd Annual Data and Life Sciences Collaboration and Symposium, Case Western Reserve University, Cleveland, OH, Aug 3–4, 2017.
Verma, A. K.; Hawk, J. A.; Bruckman, L.; Romanov, V.; French, R. H.; Carter, J. L. W.
Application of Data Science to the Study and Design of 9–12% Cr Steel
Poster presented at the Physical Metallurgy, Gordon Research Conference, Biddeford, ME, July 23–28, 2017.
Verma, A. K.; Hawk, J. A.; Bruckman, L.; Romanov, V.; French, R. H.; Carter, J. L. W.
