应用常规测井资料预测储层敏感性

Application of conventional logging data to predict reservoir sensitivity

针对储层敏感性评价过程缓慢且不连续的问题,提出了一种应用常规测井资料预测储层敏感性的方法。根据不同储层敏感性矿物在测井响应上的差异,结合敏感性流动实验,从常规测井曲线上提取出与储层敏感性相关的评价参数,利用多元逐步线性回归和相关系数加权的方法,建立了应用常规测井资料预测储层敏感性的“五敏计算模型”。利用该模型对验证井处理分析,计算结果与敏感性流动实验结果基本吻合,最大误差在11%以内。该模型可以实现在研究区快速、连续地预测储层敏感性,为指导钻井液设计及油气层保护工作提供参考依据。

Due to the slow and discontinuous process of reservoir sensitivity evaluation,a method for predicting reservoir sensitivity by conventional logging data was proposed.According to the difference in logging response for sensitive minerals in different reservoirs,combined with sensitivity flow experiments,the evaluation parameters for reservoir sensitivity were extracted from conventional logging curves.The methods of multivariate stepwise linear regression and correlation coefficient weighting were applied to establish a"five-sensitivity calculation model"for predicting the reservoir sensitivity by the conventional logging data.The model was used to analyze the processing of the verification well,and the calculation results were basically consistent with that of sensitive flow experiment,whose maximum error was within 11%.The model has realized rapid and continuous prediction of reservoir sensitivity in the study area,and provided a reference for drilling fluid design and oil and gas reservoir protection.