Using an Expert System To Diagnose Formation Damage Mechanisms and Design Stimulation Treatments For Gas Storage Wells

The Fuzzy Expert Exploration Tool for the Delaware Basin: Development, testing and applications

“…Fuzzy logic provides the mathematical tools to work with these types of descriptions. Many expert systems, such as the formation damage system (Xiong et al, 2001), use fuzzy logic to store and evaluate expert rules. When the inference engine (the process in which the rules are evaluated) is based on fuzzy logic, the system may be termed a fuzzy expert system.…”

“…This system contains expert-derived rules that help the user to acquire relative permeability models for use in reservoir simulators while minimizing the need for costly laboratory studies. Another example is the development of an expert system to aid diagnosing formation damage mechanisms and designing stimulation treatments (Xiong, Robinson, & Foh, 2001). In this system the knowledge base was developed through the use of interviews, literature reviews and field examples.…”

Collection, storage and application of human knowledge in expert system development

“…Expert systems and knowledge management techniques have been used successfully in the petroleum industry. For example, an expert system using fuzzy logic was developed for aiding in the completion of multilateral wells (Garrouch et al , 2004) and knowledge‐based systems have been developed to help measure relative permeability (Ali & Fawcett, 1996) and diagnose formation damage (Xiong, 2001). The FEE Tools and the CFS incorporate emerging technologies, including knowledge engineering in the development of the knowledge base and fuzzy logic in the inference process.…”