Case-Based Reasoning Approach for Well Failure Diagnostics and Planning

Abstract Case-based reasoning, also known as computer reasoning by analogy, is a simple and practical technique that solves new problems by comparing them to ones that have already been solved in the past, thus saving time and money. The technique constantly incorporates dynamic data, which empowers the system to learn and adapt from new experiences. A general framework for case-based reasoning is presented, along with a review of the four-step cycle that characterizes the technology: retrieve, reuse, revise and retrain. This paper presents a specific application of case-based reasoning to determine the optimum cleaning technique (bailing, washback, or foaming) for sanded/seized well failures. The methodology extracts only the most relevant information from the historical database, utilizes a rule-based system to make adaptations, and then suggests the most appropriate solution for a given well intervention. This technique was used for production operations as a front end tool for well workover planning and design and was applied to sample data from a large oil field where the main artificial lift system is rod pump. This simple case demonstrates how case-based reasoning can be applied to improve the planning and execution of well interventions, thus reducing cost, rig time, and well turnaround time, while maximizing reliability and production.