WELLRISK – A Proposition of a Data-driven Well Integrity Management System

In the petroleum industry, well integrity and risk management are critical concerns that must be balanced against the need for efficiency and cost reduction. The challenges of well integrity are becoming increasingly complex due to energy crises, pressure for cost reduction, and environmental considerations. To address the challenge, this paper presents a new data-driven approach to well integrity management. The proposed solution uses quantitative risk analysis that includes three figures of merit: the well integrity level, the blowout risk level, and the incremental cumulative risk. These figures of merit are used to assess the risk of well failure and their acceptance criteria guide the decision process for how long one can tolerate the failure, the mitigation measures, and the maintenance planning. The methodology is supported by advanced reliability models for the operational phase. Two case studies based on classical well integrity issues are presented to demonstrate the potential of the data-driven approach: the failure of a well barrier element and the impact of testing on the integrity of the well; and the comparison between the risk of operating in a degraded situation versus the intervention risk. The approach offers a powerful tool to mitigate risk and increase efficiency, making it a valuable tool for petroleum operators worldwide.

Keywords: Well risk, Well integrity, Data-driven, Risk analysis.

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