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运用神经网络法研究微裂缝的分布规律——以苏北盆地高邮凹陷CA油田为例
石油实验地质
2006年 28卷 第4期
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Title
STUDY ON THE DISTRIBUTION OF THE MICRO-FRACTURES BY ANN——TAKING THE CA OILFIELD IN GAOYOU SAGIN THE NORTH JIANGSU BASIN AS AN EXAMPLE
Authors
Wang Jiayue
Yan Hong
Ao Lide
Qu Hong
单位
江苏油田 地质科学研究院, 江苏 扬州 225009
Organization
Geological Research Institute, Jiangsu Oilfield, Yangzhou, Jiangsu 225009, China
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.
关键词：
微裂缝;
三维分布模型;
神经网络;
高邮凹陷;
苏北盆地;
Keywords:
micro-fracture;
3D distribution model;
artificial neural network;
the Gaoyou Sag;
the North Jiangsu Basin;
DOI
https://doi.org/10.11781/sysydz200604395
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