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近地表介质Q估计及其在塔河北部油田的应用

宋吉杰 禹金营 王成 张猛

石油物探2018,Vol.57Issue(3):436-442,7.
石油物探2018,Vol.57Issue(3):436-442,7.DOI:10.3969/j.issn.1000-1441.2018.03.013

近地表介质Q估计及其在塔河北部油田的应用

Q estimation for near-surface media and its application in the Northern Tahe Oilfield, China

宋吉杰 1禹金营 2王成 3张猛4

作者信息

  • 1. 中国石油化工股份有限公司油田勘探开发事业部,北京100728
  • 2. 中国石油化工股份有限公司西北分公司研究院,新疆乌鲁木齐830000
  • 3. 中国石油天然气股份有限公司大庆勘探开发研究院,黑龙江大庆163712
  • 4. 中国石油化工股份有限公司胜利油田物探研究院,山东东营257100
  • 折叠

摘要

Abstract

Absorption attenuation compensation in near-surface media is highly relevant to high-resolution seismic exploration.Its key is to build high-precision near-surface Q model.This paper proposes a Q value estimation method for near-surface media based on information integration and a stable anti Q filter processing technique.First,a new type of observation system with joint multi-well uphole survey and ground survey is introduced,to estimate the fine Q value of the investigation points by combining refraction and transmission waves.Second,the relative Q value of the whole region is estimated by statistical inversion,which is based on the first arrival data from the shooting.After that,the precise Q value and the relative Q value are integrated to set up an accurate near-surface Q model.Finally,an inverse Q filter is used to compensate the near-surface attenuation and improve the resolution of seismic data.Tests of field data in the northern Tahe oilfield showed that the method could help to establish the reliable near-surface Q model,and also broaden the frequency band of target reflectors of more than 20 Hz by using prestack attenuation compensation.In addition,both amplitude and frequency characteristics of reflected wave were improved to acquire rich reservoir information and high resolution.

关键词

近地表/Q估计/吸收调查/微测井/衰减补偿

Key words

near-surface/Q estimation/absorption survey/uphole survey/attenuation compensation

分类

天文与地球科学

引用本文复制引用

宋吉杰,禹金营,王成,张猛..近地表介质Q估计及其在塔河北部油田的应用[J].石油物探,2018,57(3):436-442,7.

基金项目

国家科技重大专项(2017ZX05005-004-008)资助.This research is financially supported by the National Science and Technology Major Project of China (Grant No.2017ZX05005-004-008). (2017ZX05005-004-008)

石油物探

OA北大核心CSCDCSTPCD

1000-1441

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