Method for Oil and Gas Pattern Recognition Based on Exploration and Development Database
Fan Ying · Journal of Jianghan Petroleum Institute · 2003
Procedures and processing method of pattern recognition for oil and gas reservoir is discussed. By taking Da'erqi area in Baiyinchagan as a work area of study. T26 horizon as target of processing, Wells Da7, Da8, Da9, Da11, Da12 and Da13 as model wells, neural network is studied and physical properties of physical data including porosity, oil saturation etc are predicted. The result shows that the neural network model has strong self-adaptability to the data with strong dynamic changes, it has the function of interpolation and extrapolation, with precised prediction of interwell physical property change, reasonal processing result.