基于多参数融合的致密储层有效性综合评价方法研究

Research on the Comprehensive Evaluation Method of Tight Reservoir Effectiveness Based on Multiparameter Fusion

准确确定致密储层有效性下限和建立有效性标准对于致密油有效储量估算及增产有着重要意义。基于卷积神经网络、多元统计分析等方法建立致密储层岩性识别及岩石物理相解释模型;在储层特征描述的基础上结合岩石物理相分类建模与孔隙结构评价,建立多参数融合的致密储层有效性评价方法。实际资料处理结果表明,建立的岩性识别方法预测结果准确率较高,有效性综合评价结论与试油试采资料相吻合。该文综合考虑影响致密储层有效性的主要因素,结合致密储层岩性、物性与孔隙结构类型等建立的综合评定方法,能有效应用于致密储层有效性综合评价。

Accurate determination of effective lower limit and establishment of effective standard of tight reservoirs are of great significance for effective reserves estimation and production increase in tight oil.Based on convolution neural network and multivariate statistical analysis,establishes a model for lithology identification and petrophysical facies interpretation of tight reservoirs,and establishes a multi-parameter fusion method for evaluating the effectiveness of tight reservoirs by combining petrophysical facies classification modeling and pore structure evaluation on the basis of reservoir characteristics description.The actual data processing results show that the prediction accuracy of the established lithology identification method is high,and the comprehensive evaluation results are in agreement with the data of oil test and production test.This paper comprehensively considers the main factors that affect the effectiveness of tight reservoirs,and combines the lithology,physical properties and pore structure types of tight reservoirs to establish a comprehensive effectiveness evaluation method,which can be effectively applied to the comprehensive evaluation of tight reservoirs effectiveness.