Research on Optimizing Reservoir Attributes in Oil Exploration Information Management
Jie Hu · Journal of systems management · 2008
The paper proposes the fusion methods of soft computing which can recognize the core attributes of oil-bearing formation and sets up the forecasting model.The steps as follows: Firstly,obtaining the core attributes that can represent the oil-bearing formation by attributes of reduction using GA-FCM.Secondly,setting up the forecasting model to forecast the core attributes.The forecasting model is BP neural network(BPNN) and the optimal inputs of BPNN and the optimal number nodes of hidden layer are obtained by GA which is evaluated by the test data of the sum of error square.At last,make empirical research of oilsk81,oilsk83,oilsk85 well in some oil field in China.