This study focused on the assessment of marine Kazakhstan Kashagan oil field located in the Northern Caspian Sea. High-resolution COSMO-SkyMed (CSK) and medium-resolution Sentinel-1 (SNT1) satellite images acquired during 2018-2022 were used for persistent scatterer interferometric processing (PS-InSAR). Based on the measurements from ascending and descending satellite tracks, decomposition of line-of-sight measurements were applied to achieve vertical and horizontal deformations. The practical value and novelty of the present studies were to optimize and simplify monitoring and inspection activities for geohazard risk assessment of offshore petroleum and gas infrastructure in the Caspian Sea.

Keywords:
artificial intelligence, oilfield, geologist, machine learning, geology, displacement, risk management, csk and snt1, interferometric measurement, vertical displacement
Subjects:
Risk Management and Decision-Making, Information Management and Systems, Artificial intelligence
Copyright 2024, Society of Petroleum Engineers DOI 10.2118/223409-MS
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