摘要
CRM模型(Capaticance-Resistive Model)可利用注采开发数据定量地反演油藏的井间动态连通性。结合油田开发特点对CRM模型进行了改进,通过对井底流压波动影响的简化计算使模型的多解性大大降低;而且采用粒子群算法对模型各特征参数进行了优化求解,提高了计算效率。在实际应用中,首先通过对概念模型的数值模拟,验证了模型的有效性。然后将其应用于岔河集油田岔15断块15—141井区,反演结果与示踪剂资料等现场认识结果一致,为该区后期开发调整方案的实施提供依据。
Capacitance-Resistive Model （CRM） is a dynamic quantitative connectivity model and is constructed with dynamic development and pressure data. The model is improved based on the characteristic of oil field and taking the effect of bottom-hole pressure into consider easily. Various parameters in the model are obtained by using Particle Swarm Optimization （PSO） Algorithm and its validation is analysed. Besides, the improved model is applied for dynamic connectivity analysis in Huabei oil field, which is important for later development.
出处
《科学技术与工程》
北大核心
2013年第9期2326-2330,共5页
Science Technology and Engineering
基金
中国石油华北油田分公司项目(HBYT-YJY-2011-JS-)资助
关键词
断块油藏
CRM模型
定量表征
井间动态连通性
粒子群算法
fault block reservoir Capacitance-Resistive model quantitative characterization interwell dynamic connectivity PSO Algorithm
