AI/ML Techniques for Submarine Landslide Detection and Landslide Susceptibility Mapping
Geology & Geophysics Seminar Series, College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, February 2, 2023
Engineering topics
Publications and source records attributed to Wingo, Patrick.
Geology & Geophysics Seminar Series, College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, February 2, 2023
AGU Fall Meeting 2022, Chicago, IL, December 12-16, 2022
AGU Fall Meeting 2022, Chicago, IL, December 12-16, 2022
AGU Fall Meeting 2022, Chicago, IL, December 12-16, 2022
Resource Sustainability Project Review Meeting, Pittsburgh, PA, October 24-26, 2022
Resource Sustainability Project Review Meeting, Pittsburgh, PA, October 23, 2022
Resource Sustainability Project Review Meeting, Pittsburgh, PA, October 25-28, 2022
16th International Conference on Greenhouse Gas Technologies (GHGT-16), Lyon, France, October 23-27, 2022
DOE Data Days, Livermore, CA, June 1-3, 2022
Supplementary files associated with the Unconventional Rare earth and Critical minerals (URC) Resource Assessment method publication (Link/DOI to publication TBD).
AGU 2021 Fall Meeting, Virtual, December 13-17, 2021.
AGU 2021 Fall Meeting, Virtual, December 13-17, 2021.
International Meeting of Applied Geoscience and Energy, Virtual, September 28-October 2, 2021
2021 Carbon Management and Oil and Gas Research Project Review Meeting, Virtual, August 23-27, 2021
2021 Carbon Management and Oil and Gas Research Project Review Meeting, Virtual, August 23-27, 2021
Esri User Conference 2021, Virtual, July 11-15, 2021
Drilling in the offshore environment involves a complex network of infrastructure including pipelines, platforms, rigs, subsea installations, ports, and terminals. Government and industry partners have developed this network over many decades and it remains a critical part of the United States (U.S.) energy portfolio. Many of the major components of this system have been designed with a 20- to 30-year lifespan, yet consistent and growing energy demands support the need to extend the design life of existing infrastructure or repurpose it for secondary needs (i.e. enhanced oil recovery, carbon storage, and new wells). As a result, a growing portion of the offshore infrastructure in the U.S. is approaching or has exceeded its original design life. A critical step in ensuring the continued safe and effective operation of offshore infrastructure is developing a comprehensive understanding of the state of offshore infrastructure and the factors that effect it. The purpose of this project is to assess the current state of existing infrastructure and identify the factors involved in infrastructure degradation through the development and application of big data analytics, machine learning, and advanced spatio-temporal analysis. The project leverages existing data at NETL and combines it with new information on offshore oil and gas structures and the ambient offshore environment in an effort to identify patterns associated with infrastructure integrity. Building on the identified trends and patterns, this project incorporates exploratory analytics and spatial analysis tools in conjunction with machine learning and statistical models to characterize the condition of existing platforms in the offshore environment and predict their risk of failure.
The dataset contains integrated data from an array of disparate data sources, all spatially and temporally linked to platforms in the federal waters of the Gulf of Mexico (platform data from BSEE, 2020). Integrated data includes past reported incidents dating back to 1956 (BSEE, BOEM, MMS), metocean data (see Nelson et al. in review for source information), and geohazard data (see Nelson et al. in review for source information). Proprietary well production information was redacted from this dataset, but was used in resulting analytics.