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Offshore oil and gas platform dynamics in the North Sea, Gulf of Mexico, and Persian Gulf: exploiting the Sentinel-1 archive

Spanier, Robin and Hoeser, Thorsten and Truckenbrodt, John and Bachofer, Felix and Kuenzer, Claudia (2026) Offshore oil and gas platform dynamics in the North Sea, Gulf of Mexico, and Persian Gulf: exploiting the Sentinel-1 archive. Big Earth Data, pp. 1-27. Taylor & Francis. doi: 10.1080/20964471.2026.2679328. ISSN 2096-4471.

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Official URL: https://dx.doi.org/10.1080/20964471.2026.2679328

Abstract

The increasing use of marine spaces by offshore infrastructure, including oil and gas platforms, offshore wind farms, aquaculture, and artificial islands, underscores the need for consistent and scalable monitoring approaches. The development of offshore oil and gas infrastructure has economic, environmental, and regulatory implications. Maritime areas are difficult to monitor systematically due to their inaccessibility and spatial extent. This study presents an automated approach to the spatiotemporal detection of offshore oil and gas platforms based on freely available Earth observation data. Leveraging Sentinel-1 archive data and deep learning-based object detection, a consistent quarterly time series of platform locations for three major production regions: the North Sea, the Gulf of Mexico, and the Persian Gulf, was created for the period 2017-2025. In addition, platform size, water depth, distance to the coast, affiliation with exclusive economic zones, and installation and decommissioning dates were derived. 3,728 offshore platforms were identified in 2025, 356 in the North Sea, 1,641 in the Gulf of Mexico, and 1,731 in the Persian Gulf. While expansion was observed in the Persian Gulf until 2024, the Gulf of Mexico and the North Sea saw a decline in the number of platforms from 2018 to 2020. At the same time, a pronounced dynamic was apparent. More than 2,700 platforms were installed or relocated to new sites, while a comparable number were decommissioned or relocated. Furthermore, the increasing number of platforms with short lifespans points to a structural change in the offshore sector associated with the growing importance of mobile offshore units such as jack-ups or drillships. The results highlighted the potential of freely available Earth observation data and deep learning methods for consistent, long-term monitoring of marine infrastructure. The derived dataset is publicly available and provides a basis for offshore monitoring, maritime planning, and analyses of the transformation of the offshore energy sector.

Item URL in elib:https://elib.dlr.de/225140/
Document Type:Article
Title:Offshore oil and gas platform dynamics in the North Sea, Gulf of Mexico, and Persian Gulf: exploiting the Sentinel-1 archive
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Spanier, Robinrobin.spanier (at) dlr.dehttps://orcid.org/0009-0005-5959-6210220022969
Hoeser, Thorstenthorsten.hoeser (at) dlr.dehttps://orcid.org/0000-0002-7179-3664UNSPECIFIED
Truckenbrodt, JohnJohn.Truckenbrodt (at) dlr.dehttps://orcid.org/0000-0002-7259-101XUNSPECIFIED
Bachofer, FelixFelix.Bachofer (at) dlr.dehttps://orcid.org/0000-0001-6181-0187UNSPECIFIED
Kuenzer, Claudiaclaudia.kuenzer (at) dlr.deUNSPECIFIEDUNSPECIFIED
Date:15 June 2026
Journal or Publication Title:Big Earth Data
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1080/20964471.2026.2679328
Page Range:pp. 1-27
Publisher:Taylor & Francis
ISSN:2096-4471
Status:Published
Keywords:Earth observation; object detection; time series; oil rigs; offshore infrastructure; Sentinel-1; SAR
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
German Remote Sensing Data Center > International Ground Segment
Deposited By: Spanier, Robin
Deposited On:08 Jul 2026 12:25
Last Modified:08 Jul 2026 12:25

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