摘要
通过研究影响压裂后产能的各种参数,对低孔隙度低渗透率的朝阳沟油田进行了压裂后产能预测。对压裂后产能影响较大的参数有地层有效渗透率、有效厚度、井底流压等。确定了该区产能级别划分标准,提出2种预测方法:方程法和神经网络法。建立了朝阳沟油田预测压裂后产能的无限导流能力垂直裂缝稳态流方程,并给出了各参数的计算方法。应用方程法对11口井的压裂后产能进行预测,判别单层测试产油级别符合率为73%。应用神经网络法,选取研究区13口井进行训练和验证,单层测试产油级别符合率为100%。
Post-frac productivity forecasting in Chaoyanggou oilfield with low porosity and low permea- bility 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, etc. 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 verti- cal fracture, and worked out is computing method for each parameter. Equation method is used to fore- cast 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%.
出处
《测井技术》
CAS
CSCD
北大核心
2012年第1期101-105,共5页
Well Logging Technology
基金
中央高校基本科研业务费专项资金项目(201103039)支持
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
log evaluation, productivity forecast, fracturing, low porosity, low permeability, productivity grade, equation method, neural network method
