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生产测井多井解释研究
引用本文:赵亮,吴锡令,汪中浩.生产测井多井解释研究[J].石油勘探与开发,2002,29(1):96-99.
作者姓名:赵亮  吴锡令  汪中浩
作者单位:1. 石油大学,北京
2. 江汉石油学院
基金项目:中国石油天然气集团公司“九五”科技攻关项目 (960 0 10 6)
摘    要:提出一种生产测井多井解释方法,综合分析不同井点、不同时间测量的生产测井资料研究油藏生产过程中的动态变化规律。该解释方法包括三部分:①多井资料标准化处理部分对不同测量条件、时间生产测井资料进行标准化处理,使得多井资料具有可比性。②多井对比部分根据油层物性相似性和相关性提取对比因子构成对比因子序列,应用关联度分析方法确定油层横向连通性。③油层生产动态评价部分首先根据渗流规律预测单井剩余油饱和度的产能,然后应用多井资料和平面预测方法进行油层生产动态评价,最后对某油田某区块多井资料的实际处理解释。单井剩余油饱和度计算结果与岩心实验结果对比表明预测效果较好,文中提出的主作用因素分析方法比趋势面分析和分形克里金预测方法预测结果更为合理。

关 键 词:生产测井  多井解释  标准化处理  关联度分析  生产动态评价  剩余油饱和度
文章编号:1000-0747(2002)01-0096-04
修稿时间:2001年7月25日

A study on the multi-well interpretation of production well logging data
ZHAO Liang,WU Xiling and WANG Zhonghao.A study on the multi-well interpretation of production well logging data[J].Petroleum Exploration and Development,2002,29(1):96-99.
Authors:ZHAO Liang  WU Xiling and WANG Zhonghao
Affiliation:ZHAO Liang 1,WU Xi ling 1,WANG Zhong hao 2
Abstract:A multi well interpretation method for production well logging data is presented. With this method, the production logging data acquired from different wells in different time can be analyzed and the regularity of the performance change in the reservoir exploitation can be studied comprehensively. The interpretation method consists of three processing parts: (1)Multi well data standardization-Standardizing the production logging data acquired under different condition and in different time to make multi well production logging data analogical; (2)Correlation of multi well production logging data-Based on the similarity and correlativity of reservoir physical properties, the factor composition can be picked up and the factor order can be correlated, and lateral reservoir continuity can be defined with connection analysis; and (3)The evaluation of oil layers' performance-Firstly, based on the law of fluid percolation, single well remaining oil saturation and productivity can be predicted, then the evaluation to reservoir performance can be done with multi well data and areal prediction and finally, multi well data from a certain block in a certain field can be processed and interpreted. The comparesion between the calculation results of single well remaining oil saturation and core test results show good predicted results, which indicate that the prediction results of main action factor analysis are more reasonable than that of trend surface analysis and that of fractal Kriging technique.
Keywords:production logging  multi  well data interpretation  standardization  connection analysis  production performance evaluation  remaining oil saturation  
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