STUDY ON THE DISTRIBUTION OF THE MICRO-FRACTURES BY ANN——TAKING THE CA OILFIELD IN GAOYOU SAGIN THE NORTH JIANGSU BASIN AS AN EXAMPLE
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摘要: 苏北盆地高邮凹陷CA油田微裂缝比较发育,但由于微裂缝发育规模、开度和延伸长度均较小而不易识别,研究方法和手段受到很大限制,研究起来难度较大.利用测井的声波曲线、微梯度曲线、微电位曲线、6m电阻曲线和冲洗带电阻率曲线,采用神经网络的方法,建立该区裂缝分布的三维模型,从而实现对裂缝参数的预测.通过动态资料分析,证实了运用神经网络法获得的裂缝预测结果是较为可靠的.Abstract: There are many micro-fractures in the CA Oilfield in Gaoyou Sag,the North Jiangsu Basin.The aperture and extension length of these micro-fractures are too small to identify easily.The methods and means being used to study are limited.Based on the acoustic logging curve,the microinverse,the micronormal,the 6 m electric resistance curve and the resistivity curve in flushing zone,the 3D mathematical model about the distribution of the micro-fractures in this area can be established by using the method of artificial neural network.In this paper,the micro-fracture parameters were predicted by this way.The predict result was verified by the dynamic data analysis.It is reliable to predict the distribution of micro-fractures by using the mathod of artificial neural network.
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