导航金字塔分解技术在储层地震预测中的应用研究

doi:10.3969/j.issn.1672-7703.2021.05.011

摘要/Abstract

摘要： 构造—岩性油藏存在砂体厚度薄、储层横向变化快及断层边界复杂等特点，因而该类油藏砂体的地震预测与边界刻画难度大、准确度低。文章创新性提出利用导航金字塔分解技术处理地震数据的方法，以提高薄砂体储层预测的精度。导航金字塔分解技术主要包括金字塔结构的创建（图像分解）和分解后的图像重构两部分，通过地震数据多尺度分解与组合，从不同尺度、不同方向提取地质体信息，根据描述地质体对象的需求，选择不同尺度的地震数据组合，从宏观、微观突出及刻画地质体特征。在该方法处理的地震资料上可以开展地震属性及地震反演研究，选择不同尺度的地震数据进行储层预测可以得到更加符合地质体规律的结果，从而避免利用小尺度数据刻画宏观地质规律的局限性，以及利用大尺度数据刻画微观砂体非均质性的不确定性。

关键词: 储层地震预测, 导航金字塔方法, 地震反演, 马家嘴地区

Abstract: The structural-lithologic reservoir has the characteristics of thin thickness of sand body, rapid lateral change of reservoir and complex fault boundary. Therefore, the seismic prediction and boundary description of this oil reservoirs are challenging with low accuracy. In order to improve the prediction accuracy of thin sand reservoir, a seismic data processing method is innovatively proposed in this study by using steerable pyramid decomposition technology, which mainly includes the creation of pyramid structure (image decomposition) and image reconstruction after decomposition. The multi-scale decomposition and combination of seismic data allow to extract the geological body information in different scales and directions. Then the combination of seismic data of different scale is selected based on requirements of geological body description, so as to highlight and describe the characteristics of geological body from macro and micro perspectives. Finally, the seismic attributes and seismic inversion study are carried out on seismic data processed by this method. The reservoir prediction results are more in line with the rules of geological body when seismic data are selected with proper scale, avoiding the limitations of describing macro geological rules by using small-scale data and the uncertainty of characterizing micro heterogeneity of sand body by using largescale data.

中图分类号:

TE111.2

陈刚. 导航金字塔分解技术在储层地震预测中的应用研究[J]. 中国石油勘探, 2021, 26(5): 125-131.

Chen Gang. Application of steerable pyramid decomposition technology in reservoir seismic prediction[J]. China Petroleum Exploration, 2021, 26(5): 125-131.

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