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. , and Bauer, J., “Forecasting Platform Integrity with Machine Learning & Advanced Analytics for Reuse Optimization Strategies and Risk Prevention,” Carbon Management and Oil and Gas Research Project Review Meeting Aug. 26, 2021. https://edx.netl.doe.gov/offshore/wp-content/uploads/2021/12/Forecasting-Platform-Integrity-with-Machine-Learning_NETL_08262021.pdf
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.
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.
Romeo, L. and Barkhurst, A. Building Big Data Geospatial Tools for a Common Operating Platform: Cumulative Spatial Impact Layers. DOE GIS Users Group Meeting. September 10, 2020. Virtual. Invited presentation.
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.