测井技术2018，Vol.42Issue(1)：42-48,7.DOI:10.16489/j.issn.1004-1338.2018.01.008
重构电阻率曲线识别水淹层的方法及应用
Method and Application for Identifying Waterflooded Layer with Reconstructed Resistivity Curves
摘要
Abstract
In interpreting and evaluating waterflooded layer,there is no general rule for the variation of the mixed formation water resistivity,since the original formation water is mixed with injected water.Resistivity curves are the most important curves for identifying oil and water.However,it does not really reflect oiliness because of the influence of mixed formation water resistivity and total water saturation.Under the influence of injected water with different properties,the same oil layer may be characterized by high resistivity or low resistivity,w hich makes the interpretation of waterflooded layer difficult.Because the neural network can accurately simulate the complex nonlinear relationship between input and output,it can reconstruct the resistivity of the non-waterflooded oil layer. The difference between the reconstructed resistivity curve and the measured resistivity is used to characterize the influence of injected water on the resistivity curves.According to the nature of injected water,the resistivity change of non-waterflooded oil layer and waterflooded oil layer is used to characterize the change of fluid properties.The index of waterflooded is used to evaluate it,so the waterflooded layer can be accurately identified.In actual production,the application effect is good.关键词
测井评价/重构电阻率曲线/神经网络/水淹层/分级评价Key words
log evaluation/reconstructed resistivity curve/neural network/water flooded layer/classification evaluation分类
天文与地球科学引用本文复制引用
石玉江,周金昱,钟吉彬,王长胜,钟晓勤,张少华..重构电阻率曲线识别水淹层的方法及应用[J].测井技术,2018,42(1):42-48,7.基金项目
国家科技重大专项鄂尔多斯盆地大型低渗透岩性地层油气藏开发示范工程(2016ZX05050) （2016ZX05050）
