川西致密砂岩气藏测井评价技术及其发展展望

川西致密砂岩气藏具有低孔隙度、低渗透率、孔隙结构多样、气水关系复杂的地质特征，使得传统测井评价技术得到的孔隙度、渗透率、含水饱和度等参数精度偏低，测井评价容易产生偏差，因此，亟需开展有针对性测井评价技术研究。以中江沙溪庙组复杂河道致密砂岩气藏为研究对象，结合气藏勘探开发实践，形成了以基于沉积微相约束的测井曲线标准化为基础，以多元回归、BP神经网络、基于流动单元的储层物性评价技术和多因素交会、基于多因素判别的流体识别雷达图、变$m$、$n$参数的饱和度评价模型为核心的致密砂岩气藏测井评价技术体系，为中江沙溪庙组气藏的高效开发提供了有力的支撑。形成的致密砂岩气藏测井评价技术体系为同类型的气藏开展相关研究提供了有效的借鉴。

Logging Evaluation Technology of Tight Sandstone Gas Reservoir in Western Sichuan and Its Development Prospect

Tight sandstone gas reservoirs in western Sichuan have the geological characteristics of low porosity, low permeability, diverse pore structure, and complex gas-water relationship, which makes the parameters such as porosity, permeability and water saturation obtained by traditional logging evaluation technology with low accuracy. Well evaluation is prone to bias, so it is urgent to carry out research on targeted well logging evaluation technology. This paper takes the complex channel tight sandstone gas reservoir in the Shaximiao Formation in the Zhongjiang River as the research object, and combines the exploration and development practice of gas reservoirs. Based on the standardization of logging curves based on sedimentary microfacies constraints, multiple regression, BP neural network, flow-based reservoir physical property evaluation technology of the unit and the multi-factor intersection, the fluid identification radar map based on multi-factor discrimination, and the saturation evaluation model with variable $m$ and $n$ parameters are the core of the tight sandstone gas reservoir logging evaluation technology system, which is Zhongjiang Shaximiao. It provides strong support for the efficient development of gas reservoirs. The formed logging evaluation technology system for tight sandstone gas reservoirs provides an effective reference for related research on the same type of gas reservoirs.