ASP三元复合驱对三类储层物性特征的影响规律 ——基于神经网络模型*

Influence of ASP Flooding on Physical Properties of Third Class Reservoir——Based on Neural Network Model

张晓芹 舒政 梁旭伟 叶仲斌

ZHANG Xiaoqin SHU Zheng LIANG Xuwei YE Zhongbin

碱-表面活性剂-聚合物（ASP）三元复合驱能够有效提高原油采收率，明确ASP三元复合驱体系对储层物性 特征的影响规律，有助于该技术在三类储层的推广运用。通过测定三类储层岩心在弱碱ASP三元复合驱前后的 孔隙度、渗透率以及孔隙分布参数，定性分析了ASP三元复合驱对储层物性的影响规律；在实验基础上利用神经 网络模型建立了ASP三元复合驱储层物性变化预测模型，实现了对三类储层在ASP三元复合驱过程中物性变化 的定量表征。研究结果表明，弱碱ASP三元复合驱后储层物性按ⅢA、ⅢB和ⅢC的顺序逐渐变差，弱碱ASP三 元复合驱在注入早期对物性较好的储层具有改善作用，而对物性差的储层将很快发生储层伤害。图4 表3 参19

The alkali/surfactant/polymer（ASP）flooding can enhance oil recovery significantly. Understanding the influence of ASP flooding on reservoir physical properties is helpful to realize the application of this technology in third class reservoir. By measuring the porosity，permeability and pore distribution parameters of third class reservoir cores before and after ASP flooding， the influence of ASP flooding on physical properties of third class reservoir was analyzed qualitatively. On the basis of experiments， the prediction model of reservoir physical property of ASP flooding was established by using neural network model to characterize quantitatively the physical property of the third class reservoir in ASP flooding process. It was revealed that the reservoir physical properties gradually become worse in the order of Ⅲ A，Ⅲ B and Ⅲ C. The ASP flooding could improve the permeability of reservoir with good physical properties in the early stage of injection，while the reservoir with poor physical properties will be damaged quickly.

10.19346/j.cnki.1000-4092.2021.01.020