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
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.
Romeo, L., Dyer, A., Bauer, J., Barkhurst, A., Duran, R., Nelson, J., Sabbatino, M., Wenzlick, M., Wingo, P., Zaengle, D. and Rose, K. 2021. Forecasting Offshore Platform Integrity: Applying Machine Learning Algorithms to Quantify Lifespan and Mitigate Risk. Machine Learning in Oil & Gas. April 15, 2021. Virtual.
Nelson, J., Romeo, L., Duran, R., and Bauer, J., “A Geostatistical Analysis of Offshore Oil Platform Lifespan,” NETL-ORISE Powerful Poster Series (online), March 23, 2021.
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.
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
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/
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.
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.
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