测井技术2012，Vol.36Issue(1)：101-105,5.
低孔隙度低渗透率储层压裂后产能测井预测方法研究
Productivity Log Forecasting Method for Post-frac Reservoir withLow Porosity and Low Permeability
摘要
Abstract
Post-frac productivity forecasting in Chaoyanggou oilfield with low porosity and low permeability is made by means of researches on relative factors. The major factors which influence the post-frac productivity include: formation effective permeability, effective thickness, downhole fluid pressure, eta Determined is the productivity level standard, and given are 2 prediction methods; equation method and neural network method Built is the stable state flow equation method of infinite flow conductivity vertical fracture, and worked out is computing method for each parameter. Equation method is used to forecast the post-frac productivity in 11 wells, and productivity grade coincidence rate of single layer is up to 73%. When using neural network method to do training and prediction in 13 wells, the productivity grade coincidence rate reaches 100%.关键词
测井评价/产能预测/压裂/低孔隙度/低渗透率/产能级别/方程法/神经网络法Key words
log evaluation/productivity forecast/fracturing/low porosity/low permeability,productivity grade/equation method/neural network method分类
天文与地球科学引用本文复制引用
张丽华,潘保芝,庄华,郭立新,李庆峰,赵小青..低孔隙度低渗透率储层压裂后产能测井预测方法研究[J].测井技术,2012,36(1):101-105,5.基金项目
中央高校基本科研业务费专项资金项目(201103039)支持 （201103039）
