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频率矫正广义S变换及在储层含油气性预测中的应用

Frequency-corrected generalized S-transform and its application on prediction of reservoir oil-gas potential

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【作者】 刘乃豪; 魏圣焘; 张泽洲; 杨阳; 王治国; 刘镕菖; 路漫; 高静怀;

【Author】 LIU NaiHao;WEI ShengTao;ZHANG ZeZhou;YANG Yang;WANG ZhiGuo;LIU RongChang;LU Man;GAO JingHuai;School of In formation and Communications Engineering,Xi’an Jiaotong University;School of Mathematics and Statistics,Xi’an Jiaotong University;PetroChina Research Institute of Petroleum Exploration and Development(RIPED),CNPC;College of Geosciences,China University of Petroleum;

【通讯作者】 杨阳;

【机构】 西安交通大学信息与通信工程学院; 西安交通大学数学与统计学院; 中国石油勘探开发研究院; 中国石油大学(北京)地球科学学院;

【摘要】 随着我国油气勘探程度的不断加深,陆相页岩油气等非常规油气逐渐成为我国勘探开发的重点,陆相页岩非均质性强、储层薄且纵横向变化剧烈等典型特征导致含油气性预测精度差,影响后续井位部署和生产等.时频变换方法是储层含油气性预测最有效的工具.为了提高储层含油气性预测的精度,本文提出了一种频率矫正广义S变换(Frequency-Corrected Generalized S-Transform, FCGST),该变换既具有S变换多尺度多分辨率的特性,又可以通过自适应选取窗函数参数以控制窗函数的带宽和主频等,这一特性可以适用于不同工区地震数据的处理与解释.与传统的S变换和广义S变换不同,该变换修正了传统S变换和广义S变换中的尺度因子,改善了S变换和广义S变换等传统方法中时频谱主频向高频方向偏移的问题,有利于精确描述复杂储层含油气性.合成数据算例表明,频率矫正广义S变换提升了地震信号局部时频特征的表征能力;将频率矫正广义S变换应用于鄂尔多斯盆地某工区储层含油气性预测中,实钻结果数据进一步验证了该时频分析方法在储层含油气性解释中的有效性和潜力.

【Abstract】 With the deepening of oil and gas exploration in China, unconventional oil and gas such as continental shale oil and gas have gradually become the focus of exploration and development in China. The typical characteristics of continental shale, such as strong heterogeneity, thin reservoir and sharp vertical and horizontal variation, lead to poor accuracy of oil and gas prediction, which affects subsequent well deployment and production. Time-frequency transform method is the most effective tool for oil and gas prediction. In order to improve the accuracy of reservoir oil and gas prediction, this paper proposes a Frequency-Corrected Generalized S-Transform(FCGST). This transform not only has the multi-scale and multi-resolution characteristics of S-transform, but also can control the bandwidth and dominant frequency of the window function by adaptive selection of window function parameters. This feature can be applied to the processing and interpretation of seismic data in different working areas. Unlike the traditional S-transform and generalized S-transform, this method corrects the scale factor and addresses the problem that the dominant frequency of the TF spectrum is shifted to the high frequency in traditional methods such as S-transform and generalized S-transform, which is conducive to accurately describing oil and gas bearing properties of complex reservoirs. The synthetic data examples show that the frequency-corrected generalized S-transform can effectively improve the characterization property of seismic local time-frequency features. When applied to predict reservoir oil-gas potential in a working area of Ordos Basin, the drilling results further verify the effectiveness and potential of this time-frequency analysis method in the prediction of reservoir oil-gas interpretation.

【基金】 国家自然科学基金面上项目(42274144);国家重点研发计划“变革性技术关键科学问题”重点专项(2020YFA0713404);中国博士后面上(2022M712509);中央高校基本科研业务费(XZY012022086)联合资助
  • 【文献出处】 地球物理学报 ,Chinese Journal of Geophysics , 编辑部邮箱 ,2024年07期
  • 【分类号】P618.13;P631.4
  • 【下载频次】49
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