Carney, J., Rose, K., Suhag, A., Tost, B., Fronk, B., Waltrich, P., & Zimmer, M. (2020). Constraining Kick Signals Through Advanced Multi-Phase Data. National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). https://www.osti.gov/biblio/1769064
Rose, K., Suhag, A., Mark-Moser, M., and Wingo, P., “Optimizing Prediction of Reservoir Properties with Artificial Intelligence, Big Data, and the Subsurface Trend Analysis Method,” invited talk, accepted at the 2020 Machine Learning in Oil & Gas Virtual Conference, November 9–11, 2020.
Romeo, L., Dyer, A., Zaengle, D., Nelson, J., Wenzlick, M., Duran, R., Sabbatino, M., Wingo, P., Barkhurst, A., Bauer, J., and Rose, K., “Forecasting Offshore Platform Integrity and Lifespan – Improving Safety and Reliability,” invited presentation at the ICCOPR Quarterly Meeting (virtual), December 9, 2020.
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. https://www.osti.gov/servlets/purl/1776797
Dyer, A., Zaengle, D., Mark-Moser, M., Duran, R., Bauer, J., Rose, K., 2020. “Deep Learning to Locate Seafloor Landslides in High Resolution Bathymetry,” AGU Annual Fall Meeting (Virtual), 2020. https://www.osti.gov/servlets/purl/1779617
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
Gamwo, I. K., Hall, D.M., Lvov, S.N, Status of Modeling and Visual Observation of Mineral Scaling in High Temperature Aqueous Solutions, paper 276d, AIChE Virtual Annual Meeting, November 16-20, 2020.
Romeo, L., Dyer, A., Zaengle, D., Nelson, J., Wenzlick, M., Duran, R., Sabbatino, M., Wingo, P., Barkhurst, A., Bauer, J., and Rose, K. 2020. Assessing Current and Future Infrastructure Hazards: Forecasting Integrity using Machine Learning and Advanced Analytics. Oil and Gas Project Review Meeting. October 26, 2020. Virtual. https://www.osti.gov/servlets/purl/1768713
Justman D., Romeo, L., Barkhurst, A., Bauer, J., Duran, R., Dyer, A., Nelson, J., Sabbatino, M., Wingo, P., Wenzlick, M., Zaengle, D., Rose, K. invited talk. Advanced Geospatial Analytics and Machine Learning for Offshore and Onshore Oil & Natural Gas Infrastructure. GIS Week 2020. October 6-7, 2020. Virtual. https://www.osti.gov/servlets/purl/1767074
Romeo, L., Rose, K., Barkhurst, A., Duran, R., Dyer, A., Nelson, J., Sabbatino, M., Wenzlick, M., Wingo, P., and Zaengle, D., “Machine Learning Driven Forecasting of Offshore Infrastructure Integrity,” in preparation.