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A system that applies a method of knowledge-intensive case-based reasoning, for repair and prevention of unwanted events in the domain of offshore oil well drilling, has been developed in cooperation with an oil company. From several reoccurring problems during oil well drilling the problem of ”lost circulation”, i.e. loss of circulating drilling fluid into the geological formation, was picked out as a pilot problem. Data support methods during oil well drilling Several oil companies (Milheim-99) recognize the need to retain and centralize the knowledge and experience of the organization, often as a reaction against outsourcing and spreading of knowledge during the early 1990’s. Milheim-99 presentes a heuristic simulation approach to the domain Drilling of Oil Wells, developed around data sets of 22 actual wells. In order to reach a goal the task has to be specified. Such tasks may be: • Solve problem (stuck pipe, lost circulation, tool failure etc.) • Plan drilling operation (in such a way that problems are avoided or minimized) • Learn (learn from previous mistakes, learn about the knowledge model etc.) The challenge is first of all to solve the problem. To enable solving by means of Case Based Reasoning the following task breakdown for lost circulation has been defined, partly based on Darley & Gray & Roger (Darley-88). Cases The case base contains all the problems of “lost circulation” experienced by a chief North Sea drilling operator in the Norwegian oil company Saga, a total of 43 cases. In Table 1 the structure of a completed case is presented (a new, unsolved case is of course, incomplete).
Tags : simulation approach, unwanted events, task breakdown, knowledge model, drilling operation, case based reasoning, norwegian oil, drilling fluid, unsolved case, sea drilling, case base, geological formation, oil wells, offshore oil, oil company
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