Hall, D.M., Lvov, S.N, Gamwo, I.K, Prediction of Barium Sulfate Deposition in Petroleum and Hydrothermal Systems, Solid–Liquid Separation Technologies: Applications for Produced Water, CRC Press Taylor & Francis, in press, 2022.
Duran R., S. X. Liang, M. E. Allende Arandia and C. M. Appendini 2021. “On the Predictability of Loop Current Eddy Shedding Events and Unexpected Links to the Brazil and Guiana Currents,” AGU Fall Meeting 2021, Dec. 13-17, New Orleans, LA/Virtual.
Mark-Moser, M., Wingo, P., Duran, R., Dyer, A., Zaengle, D., Suhag, A., Hoover, B., Pantaleone, S., Shay, J., Bauer, J., Rose, K. “AI/ML Integration for Accelerated Analysis and Forecast of Offshore Hazards”, AGU Fall Meeting 2021, Dec. 13-17, New Orleans, LA/Virtual. Session: EP027 -Proven AI/ML applications in the Earth Sciences
Rose, K., Mark-Moser, M., Suhag, A., and Bauer, J. 2021. Improving prediction of subsurface properties using a geoscience informed, multi-technique, artificial intelligence approach (Invited). AGU Fall Meeting 2021, Dec. 13-17, New Orleans, LA/Virtual. Session H33C – Application of Multimodal Physics-Informed Machine Learning/Deep Learning in Subsurface Flow and Transport Modeling.
Dyer, A., Zaengle, D., Duran, R., Nelson, J., Wenzlick, M., Wingo, P., Bauer, J., Rose, K., and L. Romeo. (In Review, 2021). Applied Machine Learning Model Comparison: Predicting Offshore Platform Integrity with Gradient Boosting Algorithms and Neural Networks. Marine Structures.
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.
Gamwo, I. K., Hall, D.M., Lvov, S.N, Baled, H.O. Modeling Barium Sulfate Precipitation in High Temperature Systems based on Molecular Statistical Thermodynamics Model, paper 425c, AIChE Annual Meeting, Boston, MA, November 7-11, 2021.
Nelson, J.R., Romeo, R., and Duran, R., 2021. “Exploring the Spatial Variations of Stressors Impacting Platform Removal in the Northern Gulf of Mexico,” Journal of Marine Science and Engineering 9, no. 11: 1223. https://doi.org/10.3390/jmse9111223