页岩气储层总孔隙度的定量化表征及预测

Total porosity of shale gas reservoir is an important parameter used to evaluate the reservoir capacity and free gas potential. It is a pursuit of the goal of geologist and geophysicist to fast and accurately predict total porosity based on the well logs. We will respectively create the response models between total porosity, mineral components and contents, pore fluid type, pore pressure, stress and velocity, resistivity by test the artificial cores based on the MTS equipment, which were made in the laboratory. The systematic conclusions of these parameters (total porosity, mineral components and contents, pore fluid type, pore pressure, stress) affecting velocity and resistivity can be drawn by analyzing the response models. According to these systematic conclusions, the quantitative characterization formula of total porosity can be created by much calculation and test. The quantitative relationship between the parameters in the formula of total porosity and the log curves can be set up based on the much statistics. After much test from the wells data in the Jiaoshiba area, Pengshui area and other area, a perfect model predicting the total porosity based on the well logs can be created.

页岩气储层总孔隙度是评价页岩储集能力的关键参数，实现利用测井曲线快速、准确预测页岩气储层总孔隙度是油气地质学家追求的目标。本项目以单个参数变化的系列人造岩心为测试对象，建立单参数（总孔隙度、矿物组份及含量、孔隙流体类型及压力、应力）与速度、电阻率的响应模板，系统解析出总孔隙度与其它参数对速度、电阻率的影响特点和规律；以此为基础，分别建立总孔隙度与速度、电阻率的多参数岩石物理表征方程，并分析其适用条件；在涪陵地区丰富的地质与地球物理资料约束下，建立总孔隙度岩石物理表征方程中各个参数与测井曲线参数的表征方程；通过焦石坝、彭水地区龙马溪组以及南方地区下寒武统典型钻井资料的验证，并逐渐完善总孔隙度的表征及预测模型，最终建立一套利用测井曲线快速、准确地预测页岩气储层总孔隙度的方法。

页岩气储层总孔隙度是评价页岩储集能力的关键参数，实现利用测井曲线快速、准确预测页岩气储层总孔隙度是油气地质学家追求的目标。本项目以此为研究目标，通过精心组织和研究，取得了4个方面的重要成果：（1）研制了一套能够开展成岩物理模拟实验设备，并研发了人造岩心制备方法，形成了能够开展成岩物理模拟与人造岩心制备的实验系统；（2）基于自研的成岩物理模拟设备，制作了大量人造岩心，开展了页岩气储层总孔隙度与速度响应关系的系统性解析，建立了页岩矿物组分及含量、TOC含量、孔隙度、围压（上覆地层压力）、孔隙流体类型及压力与速度的响应关系，查明了TOC含量、孔隙度、围压、孔隙流体类型对速度影响最大，是主要的影响因素；（3）基于页岩气储层各个参数与速度响应关系的系统性解析，建立了全新的页岩气储层孔隙度定量化表征方程；（4）开展了页岩气储层总孔隙度的测井参数的定量化表征与应用研究，结果表明所建立的岩石物理表征方程与孔隙度测井预测方法精度远高于常规测井解释结果精度，提出了一套利用测井曲线快速、准确地预测页岩气储层总孔隙度的新方法。依托相关成果，研发仪器1台，获得授权发明专利2项，发表SCI论文7篇，EI论文2篇，参与出版专著1部，培养博士生2名、硕士生2名，组织与参加会议12次。