西南石油大学学报（自然科学版）Issue(2)：121-127,7.DOI:10.11885/j.issn.1674-5086.2012.06.01.01
长时井下压力监测数据流动过程识别方法研究
Study of Identification Method of Transient Flow from Permanent Downhole Pressure Data
摘要
Abstract
The real-time monitoring technology of the downhole conditions with permanent downhole pressure gauge is playing an important role in improving reservoir and well management. During the interpretation of permanent downhole pressure data, it is vital to acquire a good well-test result that accurately identifies the beginning time of new transient flow. Due to the large volume of the collected data by permanent downhole gauge,it is impractical to partition and process these data manually. Based on wavelet transform module maximum theory and noise-robust differentiator,the identification methods of transient flow from permanent downhole pressure data are investigated with the synthetic data. The results show that the wavelet transform module maximum method may not identify some key transient flows,and it is sensitive to the noise. The data must be de-noised before using this method. But with the noise-robust differentiator,the transient flow can be identified accurately and effectively using its 2nd derivative. It is robust to noise and can be used to identify the transient flow without data de-noising. The study provides a new automatic method to process the permanent downhole data.关键词
长时井下压力数据/噪声/小波模极值方法/噪声鲁棒微分算法/流动过程识别Key words
permanent downhole pressure data/noise/wavelet transform module maximum/noise-robust differentiator/transient flow identification分类
能源科技引用本文复制引用
刘均荣,姚军,于伟强..长时井下压力监测数据流动过程识别方法研究[J].西南石油大学学报（自然科学版）,2014,(2):121-127,7.基金项目
国家高技术研究发展计划（863计划）（2013AA09A215）；中央高校基本科研业务费专项资金（11CX05005A）。 （）
