Building a dataset of offshore oil and gas extraction platforms from satellite data (2017–2023)

Abstract

Accurate information on the location and operational status of offshore oil and gas platforms (OOGPs) is important to inform decision-making by various stakeholders and to evaluate the environmental impacts of OOGPs. However, existing OOGP databases are often incomplete or contain outdated data. In this work, we used satellite data and the Google Earth Engine (GEE) platform to construct a new database of OOGPs for six major offshore oil and gas basins in the world between 2017 and 2023. We used synthetic aperture radar (SAR) data from the Sentinel-1 satellite mission to detect OOGP candidates due to its high sensitivity to OOGPs, dense spatio-temporal sampling, and global coverage. Our main processing steps comprise the detection of OOGP candidates using monthly averages of SAR recordings and the removal of noise and false positive objects from annual image composites. With the resulting dataset of OOGPs, we mapped the spatiotemporal distribution of OOGPs in the study regions and analyzed the platform status after the post-processing of the platform targets. Using these methods, we identified a total of 5358 OOGPs distributed in six offshore basins: the Gulf of Mexico (GoM) (1593), Persian Gulf (PG) (1437), North Sea (NS) (440), Caspian Sea (CS) (794), Gulf of Guinea (GoG) (460), and Gulf of Thailand (GoT) (634). An independent validation dataset was used to evaluate the performance of the detection algorithm, which achieved precision of 0.95, recall of 0.89, and F 1 score of 0.92. This OOGPs dataset substantially enhances and complements the existing offshore platform database in terms of spatial and temporal coverage. From our analysis of this OOGP dataset, we observed that offshore platform activity has declined in regions like the GoM, consistent with documented trends of aging infrastructure and shifting energy investment, while it has expanded in the PG and CS, consistent with ongoing offshore development. These different regional trends highlight the need for targeted environmental oversight and region-specific mitigation strategies. The dataset of this paper can be accessed through https://doi.org/10.5281/zenodo.18350974 (Si et al., 2026).