Research Into Assistant Decision Supportive Platform On Development Dynamic Management

Analysis of development dynamically plays an important role in oilfield production. Along with highly development scale of oilfield, different data type emerges largely and the judgment factors of dynamic development becomes more and more complex, which brings difficulties and challenges to decision maker.Decision information is very important for oilfield's production, so it is urgent to manage complex data relationship and analyze factors that influence production intelligently with computer technology. This thesis puts forward an assistant decision supportive platform on development dynamic management to achieve targets below: firstly, confirm reliability of data and method; secondly, maintain high and stable production in oilfield; finally, but the most important one is to improve recovery ratio of oil wells.We have set up "data layer-decision layer-application layer" three layers architecture in the model. According to theory of virtual data warehouse, data layer establishes data service platform which mainly depends on data object and bases on metadata. In decision layer, we implement the "meta vocabulary-reality-decision rule"knowledge description form and build up relational network of field subject combining with data object in data layer. At last, according to practical application, we represent procedure of establishment and provide effective assistant decision for development dynamically.