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渤海湾X油田气云区地震资料关键处理技术研究

夏同星 刘垒 明君 周学锋

石油物探2018,Vol.57Issue(2):283-291,9.
石油物探2018,Vol.57Issue(2):283-291,9.DOI:10.3969/j.issn.1000-1441.2018.02.014

渤海湾X油田气云区地震资料关键处理技术研究

Key processing technologies of seismic data for a gas cloud area in the X oilfield, Bohai Bay Basin

夏同星 1刘垒 1明君 1周学锋1

作者信息

  • 1. 中海石油(中国)有限公司天津分公司渤海石油研究院,天津塘沽300452
  • 折叠

摘要

Abstract

A gas cloud area is widely developed in the X oilfield of the Bohai Bay Basin owing to the influence of the Tan-Lu fault zone.Structure imaging quality is poor within the gas cloud area,which introduces great challenges in structure delineation or reservoir prediction.To overcome this problem,the paper proposes key processing technologies of seismic data for the gas cloud area.Q tomography was adopted to compensate for the seismic energy absorbed by the gas cloud during depth migration by deriving a 3D reliable space variant Q model,which is based on the attenuated travel-time tomography applied on prestack seismic data.Divingwave refraction tomography (DWT) was employed to produce a reliable near-surface velocity model for the seismic data with low signal-to-noise ratio from the gas cloud area,to obtain an initial model for reflection tomography in mid-deep seismic data processing.Moreover,this paper introduces other technologies to complete the process flow,namely,matching pursuit Fourier interpolation (MPFI) for data regularization and the combination of deterministic water-layer demultiple (DWD) and general surface multiple prediction (GSMP) for multiple attenuations.The processing results ofthe field data in the X oilfield of the Bohai bay Basin showed that the proposed processing technologies could help improve the structure imaging in the gas cloud area.

关键词

气云区/匹配追踪插值/多次波压制/吸收衰减补偿/潜波层析成像

Key words

gas cloud area/matching pursuit Fourier interpolation/multiples attenuation/compensation for absorption and attenuation/diving-wave refraction tomography

分类

天文与地球科学

引用本文复制引用

夏同星,刘垒,明君,周学锋..渤海湾X油田气云区地震资料关键处理技术研究[J].石油物探,2018,57(2):283-291,9.

基金项目

国家科技重大专项(2016ZX05058)资助.This research is financially supported by the National Science and Technology Major Project of China (Grant No.2016ZX05058). (2016ZX05058)

石油物探

OA北大核心CSCDCSTPCD

1000-1441

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