东北石油大学学报

2004, (04) 21-23+113

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测井沉积微相识别方法及应用
Identification of sedimentary microfacies of logging and its application

王金荣,刘洪涛

摘要:

应用神经网络和分形几何等模式 ,研究了测井资料沉积微相解释方法 ;分析了测井曲线对沉积环境的敏感性 ,提取反映沉积环境的特征参数 ,利用特征参数建立了沉积微相与测井曲线形态之间的关系及沉积微相模式 ;开发了人机联作解释软件 ,将其应用于葡北油田 ,对葡I组油层的 12 0口井做沉积微相连续解释 ,取心井处理结果的符合率为91.0 % ,非取心井处理结果的平均符合率为 84.8% .

关键词: 测井沉积微相;神经网络;分形几何;相模式

Abstract: This paper deals with the interpretation method for sedimentary microfacies according to logging data. It applies updated model identification method such as artificial nerve net and fractal geometry. This kind of interpretation method sets up a sedimentary model by means of sensitivity analysis and characteristic parameter as well as the relationship between sedimentary microfacies and logging curve. Describing quantificationally sedimentary microfacies by feature parameter and geometric parameter and image feature of logging curve, we have developed explanation software of cooperation between man and computer. The application result to 120 wells in Pubei Oilfield interpreted by the software is promising.

Keywords: sedimentary microfacies of logging;nerve net;fractal geometry;facies model

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