CCUS wellbore integrity risk assessment and management based on game theory combination weighting-DHHFLOWLAD

Abstract

In response to the increasing risk of well integrity failure during carbon dioxide capture, utilization and storage (CCUS), a multi-index evaluation and recommendation model based on the game theory combination-authority-DHHFLOWLAD was proposed to achieve the risk assessment of well integrity in CCUS and the selection of risky well treatment solutions in the same model. Through literature research, reference to relevant safety standards and norms, and expert inquiries, the Bow-tie diagram of wellbore integrity failure was established, the wellbore failure mechanism was analyzed, and the dual-layer hesitation fuzzy language (DHHFL) characteristics were combined to screen evaluation indicators to construct the CCUS wellbore integrity risk evaluation index system. Experts were invited to use DHHFL data for complex language evaluation and expected value transformation. Game theory combined analytic hierarchy process (AHP) and entropy weight method were used to complete the optimization of comprehensive weights. The ordered weighted logarithmic mean distance (OWLAD) operator was introduced to aggregate the distance measurement between the well shaft and the scheme by combining the optimization weights of different indicators. Complete the recommendation of well risk assessment and management recommendations, and provide more accurate, scientific and practical guidance for CCUS well integrity evaluation and management.

Keywords

Double-layer hesitant fuzzy language (DHHFL) / CCUS / Wellbore integrity / Risk assessment / Combination empowerment

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