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Combining general and case-specific knowledge for problem solving, This paper presents a new level of active computerized support for information handling, decision-making, and on-the-job learning for drilling personnel in their daily working situations. The need for such a method was driven by the fact that current state-of-the-art technology for intelligent experience reuse has not been able to address the complexity of highly data-rich and information-intensive operational environments. The paper first gives an overview of our combined case-based and model-based reasoning method. This is followed, in section 3, by an oil well drilling scenario and an example from a problem solving session. The Model-Based Component Methods for development of knowledge models for particular domains (e.g. drilling engineering) have over the last years improved due to contributions both from the knowledge-based systems field of artificial intelligence, and the knowledge management field of information systems. Currently, the oil drilling domain model contains about 1300 concepts related through 30 different relation types. necessary procedures to solve the problem, normative cases, best practice, repair path consists normally of a row of events. An initial repair path is always tried out by the drilling engineer and usually he succeeds. If his initial attempts fail, then the situation turns into a new case, or a new problem. Oil Well Drilling Scenario : During oil well drilling the geological object may be as far as 10 km away from the drilling rig, and must be reached through selecting proper equipment, material and processes. Our work is addressing all phases of the drilling process; planning (for planning purposes the TrollCreek tool is addressing the drilling engineer), plan implementation (addressing the driller and the platform superintendent) and post analyses (addressing the drilling engineer and management).
Tags : drilling engineer, state of the art technology, operational environments, initial repair, knowledge models, drilling rig, initial attempts, model based reasoning, plan implementation, drilling engineering, domain model, necessary procedures, process planning, knowledge based systems, management field
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