新疆石油地质

新疆石油地质 ›› 2008, Vol. 29 ›› Issue (3): 370-372.

• 应用技术 • 上一篇    下一篇

应用谱分解技术预测河道砂体

胡水清, 韩大匡, 刘文岭, 王玉学   

  1. 中国石油石油勘探开发科学研究院, 北京100083
  • 收稿日期:2008-02-01 发布日期:2020-08-19
  • 作者简介:胡水清(1979-), 男, 湖南益阳人, 在读博士研究生,(Tel)010-62097751(E-mail)hushuiqing8209@sina.com.
  • 基金资助:
    国家973 重点基础研究发展计划项目,(2005cb221306)资助

Application of Spectrum Decomposition Technique to Prediction of River Channel Sands

HU Shui-qing, HAN Da-kuang, LIU Wen-ling, WANG Yu-xue   

  1. Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China
  • Received:2008-02-01 Published:2020-08-19

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摘要： 基于河流相储集层地震反射特征, 采用短时窗离散傅里叶变换的频谱分解技术, 实现了在频率域内通过时频四维数据体的成像特征来预测具有一定规模的河道砂体分布的目标。利用港东一区一断块地震频谱分解成果, 分析了研究区南部少井控条件下河道横向展布特征, 预测结果已被钻井所证实。

关键词: 短时窗, 离散傅里叶变换, 频谱分解, 河道砂体, 时频四维数据体

Abstract: Based on the seismic reflection of fluvial reservoirs, using the spectrum decomposition technique by Discrete Fourier Transform in short window, this paper attains the object using the imaging feature of 4D time-frequency volume in frequency domain to predict the distribution of river channel sands, by which the spectrum decomposition data from 1st block of East-1 area in Dagang oilfield are applied to analysis of the distribution feature of fluvial channel in southern studied area with low well-control condition. The predicted results have been proved by drilling data.

Key words: short window, Discrete Fourier Transform, spectrum decomposition, fluvial channel sand, 4D time-frequency volume

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