新疆石油地质

新疆石油地质 ›› 2004, Vol. 25 ›› Issue (4): 431-432.

• 应用技术 • 上一篇    下一篇

小波变换在气层预测中的应用

刘静1, 杨秀文2, 曾顺鹏1   

  1. 1.重庆石油高等专科学校,重庆400042;
    2.中国人民解放军后勤工程学院,重庆400016
  • 收稿日期:2003-09-05 修回日期:2003-11-20 发布日期:2021-01-06
  • 作者简介:刘静(1966-),女,江苏江都人,副教授,石油地质。联系电话:023-69092935

Application of W avelet Transform to Prediction of Gas Zone

LIU Jing1, YANG Xiu-wen2. ZENG Shun-peng1   

  1. 1. Chongqing Petroleum Technology Tnstitution, Chongqing, China;
    2. Institute of Logistic Engineering, PLA, Chongqing. 400016, China
  • Received:2003-09-05 Revised:2003-11-20 Published:2021-01-06

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摘要： 在实际生产中,大多数测井曲线都含有与地层性质无关的噪声信号,基于这一特征,提出了采用小波变换新方法进行处理。该方法以一维小波去噪方法和小波包去噪方法为主,通过对密度孔隙度曲线和中子孔隙度曲线同时进行处理,减少噪声信号的部分值,恢复真实信号,对处理结果进行综合分析表明,经小波变换后的曲线噪声得以压制,质量得以提高,能更好地与其它测井曲线配合进行综合解释,能准确预测气层的层数、位置,为天然气开发提供可靠的依据。

关键词: 气层, 噪声, 密度, 中子, 孔隙度, 预测

Abstract: There exist noise signals independent of strata properties in most well logs in field oil production. The wavelet transform technique applied for removal treatment of the noise signals is presented based on the feature. Using his techmique mainly including noise-removal meth-ods of dimensional wavelet and wavelet package. a part of noise signal values could be reslored to in-situ origina! ones by density-porosity logs and neutron porosity logs processing. The results show hat the noise curves have been inhibited aler the processing of wavelet lransform. With higher qualily of logs,it allows lo make comprehensive inlerpretation together with rest of well logs, provide more proper prediction of related numbers and locations of gas layers, and grasp reliable bases for natural gas exploitation.

Key words: gas zone, noise, density, neutron, porosity, prediction

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