涪陵地区页岩总孔隙度测井预测

发布时间：2018-04-24 08:32

本文选题：页岩 + 人造岩心　；参考：《石油学报》2017年05期

【摘要】：页岩孔隙度是决定页岩储层含气性的关键因素,对页岩孔隙度进行定量化表征是实现利用地震资料进行孔隙度预测的前提条件,也是开展页岩气评价的基础。涪陵地区是中国页岩气勘探与开发的重点区块,以涪陵地区测井、测试资料为基础,探讨利用测井资料预测孔隙度的方法。基于研究区测试资料和测井资料,建立起孔隙度的测井识别及其响应模型,研究区孔隙度与声波时差AC具有很好的相关性,相关系数达到83.4%,以此确定了声波时差作为孔隙度的地球物理响应参数。随后结合人造岩心的声波等测试数据,建立起单参数(孔隙度、矿物组分、围压、孔隙流体)影响的地层速度预测方程,通过分析单参数对地层速度的影响率,建立起单参数影响的孔隙度预测方程。结合涪陵地区A井的实测数据,构建起适合涪陵地区的孔隙度定量化表征方程。将涪陵地区B井的测井数据等代入方程,对方程进行检验。通过计算出的孔隙度与实测孔隙度进行对比,发现计算的孔隙度与研究区实测孔隙度吻合度高,相关性好,孔隙度预测的结果与实际情况吻合。
[Abstract]:Shale porosity is the key factor to determine the gas content of shale reservoir. The quantitative characterization of shale porosity is the prerequisite for the prediction of shale porosity using seismic data, and is also the basis of shale gas evaluation. Fuling area is the key block of shale gas exploration and development in China. Based on the logging and testing data of Fuling area, the method of predicting porosity by logging data is discussed. Based on the test data and logging data of the study area, the logging identification and response model of porosity are established. The porosity of the studied area has a good correlation with the acoustic time difference (AC). The correlation coefficient is 83.4 and the geophysical response parameters of sonic moveout as porosity are determined. Then the prediction equation of formation velocity influenced by single parameter (porosity, mineral composition, confining pressure, pore fluid) is established by combining the acoustic wave test data of artificial core, and the influence rate of single parameter on formation velocity is analyzed. The porosity prediction equation affected by single parameter is established. Based on the measured data of well A in Fuling area, a quantitative characterization equation of porosity is established. The logging data of well B in Fuling area were substituted into the equation and the equation was tested. By comparing the calculated porosity with the measured porosity, it is found that the calculated porosity is in good agreement with the measured porosity in the study area, and the results of porosity prediction are in good agreement with the actual situation.
【作者单位】：中国地质大学资源学院;构造和油气资源教育部重点实验室;中国地质调查局油气资源调查中心;
【基金】：国家重大油气专项子课题“页岩气区域选区评价方法研究”(2016ZX05034-002-003) 国家基础地质调查项目“南方页岩气综合评价参数优选及地球物理表征方法”(12120114055801) 111引智项目“沉积盆地动力学与油气富集机理”(B14031) 国家自然科学基金“页岩气储层总孔隙度的定量化表征及预测”(No.41672134)资助
【分类号】：P618.13;P631.81

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