油气勘探

叠后地震数据的自相似分段和多重分形

  • ELYAS Hedayati Rad ,
  • HOSSEIN Hassani ,
  • YOUSEF Shiri ,
  • SEYED Jamal Sheikh Zakariaee
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  • 1.伊斯兰阿扎德大学科学和技术学院石油工程系, 德黑兰 15847-43311, 伊朗 ;
    2.德黑兰理工大学采矿与冶金工程系, 德黑兰 15916-34311, 伊朗;
    3.沙鲁德理工大学采矿、石油和地球物理工程学院, 沙鲁德 36199-95161, 伊朗
ELYAS Hedayati Rad(1993-),男,伊朗人,现为伊斯兰阿扎德大学科学和技术学院石油工程系在读博士研究生,主要从事石油勘探工程方面研究。地址:Department of Petroleum Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran,邮政编码:15847-43311。E-mail: e. hedayatirad@yahoo.com

收稿日期: 2020-04-01

  修回日期: 2020-05-28

  网络出版日期: 2020-07-20

Self-similar segmentation and multifractality of post-stack seismic data

  • ELYAS Hedayati Rad ,
  • HOSSEIN Hassani ,
  • YOUSEF Shiri ,
  • SEYED Jamal Sheikh Zakariaee
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  • 1. Department of Petroleum Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran;
    2. Department of Mining and Metallurgy Engineering, Amirkabir University of Technology (Polytechnic of Tehran), Tehran, Iran;
    3. Shahrood University of Technology, Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood, Iran

Received date: 2020-04-01

  Revised date: 2020-05-28

  Online published: 2020-07-20

摘要

地质分层是石油工程中的一项重要的基础工作。叠后地震数据和测井数据的时间序列能反映地下分层。由于地层的非均质性和不同成因特性,它们表现出具有复杂模式的多重分形特性。在多重分形结构中,序列中的任何部分都具有不同的赫斯特(Hurst)指数,可反映其性质,并可用于分区检测。时间序列是井眼附近的叠后地震道和测井数据。自相似自回归外生(SAE)模型是一种改进的方法,它可以将自相似的叠后地震和测井段置于具有相同岩性的地层之间,这样就可以通过SAE模型对地震数据进行分层识别。图6参73

本文引用格式

ELYAS Hedayati Rad , HOSSEIN Hassani , YOUSEF Shiri , SEYED Jamal Sheikh Zakariaee . 叠后地震数据的自相似分段和多重分形[J]. 石油勘探与开发, 2020 , 47(4) : 730 -738 . DOI: 10.11698/PED.2020.04.09

Abstract

Layering detection is an important step in petroleum engineering. Time series of post-stack seismic data and wire-line log data belong to subsurface layering. They exhibit multifractal properties with complex patterns because of the heterogeneity and different genetic properties in the earth layers. In a multifractal configuration, any piece of a series has a distinct Hurst exponent that reflects its nature and can be used for zone detection. Time series are post-stack seismic traces and wire-line log data near the well-bores. Self-similar Autoregressive Exogenous (SAE) model is a modified method which can place self-similar post-stack seismic and wire-line log segments across layers with the same lithology. The results satisfy the capability of layering identification from seismic data by SAE model.

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