Recognition of river-celta reservoir sedimentary facies based on the fuzzy reasoning net with weighting factor

Based on the division of river-delta reservoir sedimentary facies, we present a distinguishing method based on the fuzzy reasoning NN. This model can deal with the qualitative experience of experts in oil field sedimentary facies researching and the quantitative data reflect the changing of oil layer sedimentary facies. It ascertains the section-block sedimentary facies type according to the analysis data from the core wells and the result interpretation by experts. It establishes the standard mode base and distinguishes the sedimentary facies type of the under-recognition little layers. At the same time, it can settle satisfactorily the multiple solution problem in the recognition of the transitional characteristic sedimentary facies. Its coincidence rate gets to 84.1% through dealing with the practical data in 23 wells in Sabei developing area of Daqing oil field.