测井技术2011，Vol.35Issue(5)：482-486,5.
基于储层分类的低孔隙度低渗透率储层产能预测方法研究
On Productivity Prediction of Low Porosity and Permeability Reservoirs Based on Reservoirs Classification
摘要
Abstract
Based on 22 mercury injection samples and 4 440 effective physical properties analysis samples, established is a classification standard of low porosity and permeability reservoirs. This is the classification standard based on log data. According to this classification standard, the 253 reservoirs are classified, the log characteristic parameters of reservoirs classification are selected, the range and the average value of the parameters on 3 types of reservoirs are established. Meanwhile self-adapted neural networks technology is used to establish reservoir classification model in Chang 63 block, and its results are close to the comprehensive analysis results. Through analyzing the relation between the reservoirs index and productivity of hydrocarbon reservoirs, there is a well correlation between the reservoirs index and the productivity. This model of productivity prediction based on reservoirs classification has been successfully applied to Chang 63 block, Baibao area.关键词
测井解释/低渗透率储层/储层分类/产能预测/储层指数Key words
log interpretation/ low permeability reservoir/ reservoir classification/ productivity prediction/ reservoir index分类
天文与地球科学引用本文复制引用
张占松,张超谟,郭海敏..基于储层分类的低孔隙度低渗透率储层产能预测方法研究[J].测井技术,2011,35(5):482-486,5.基金项目
国家863项目06Z2课题“研究特殊储层测井识别与地层参数定量评估计算(编号:2006AA06Z220)”及中国石油天然气集团公司项目“三低油气层测井解释方法和解释模型研究(编号:06A30L02)”资助 （编号:2006AA06Z220）
