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Aggregating Essential Exposure Data to Enable Meaningful Analysis of Safety Incident Rates Around the World

Xiaozhi (Christina) Wang

National Academies of Science, Engineering, Medicine: Gulf Research Program

Safer Offshore Energy Systems 4

Historically, government agencies, industry groups, and companies from around the world have collected offshore incident data to help understand and improve safety conditions. However, these datasets were collected at different times and used different terminology and data languages. This project aims to provide recommendations for viable data science technologies that could be employed to aggregate these disparate datasets, and establish common goals and metrics, to improve understanding of safety risks and trends in the Gulf of Mexico. The desired final product — a comprehensive global offshore incident dataset — will help set a foundation for predictive modeling initiatives. The data could inform government and industry decision-making processes such as permitting emerging technologies, setting new regulations or policies to mitigate risk, and choosing exploration projects.

Dataset Available

Example database export of offshore oil and gas risk exposure and incidents

Authors: Roberts, Benjamin, Nazirah Jetha, and Christopher Culvern
Published On: Feb 17 2023 20:34 UTC
File Format: xlsx
DOI: 10.7266/haej88r0
UDI: S4.x920.000:0001
File Size: 64.09 MB

Benjamin Roberts
Senior Data Scientist
ABS Consulting

broberts@absconsulting.com

Xiaozhi (Christina) Wang
Vice President
American Bureau of Shipping

xwang@eagle.org