广义S变换多频解释技术及其在薄层评价中的应用

doi:10.11720/wtyht.2019.1267

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Abstract

In order to quantitatively evaluate thin reservoir of high speed surrounding rock shielding by seismic data after time frequency conversion,the generalized S transform is applied to processing for target seismic,and then ascertain the time and frequency seismic recognition extent for thin reservoir.Combined with basic sand parameter,frequency spectral analysis,and time frequency characteristics of thin reservoir,carry out single frequency seismic optimization,and extract frequency gradient attribute to qualitatively analysis the plane distribution of sedimentary reservoir.Construct the mathematical relationship between drilling data and frequency gradient to finish quantitatively evaluation for thin reservoir.The practical example in Middle East shows that the multi-frequency interpretation techniques based on generalized S transform has a good application result for thin reservoir of high speed surrounding rock shielding,and the reservoir prediction accuracy was improved.It provides a set of technical ideas for quantitative reservoir evaluation by seismic data and has broad application prospects.

Key words： thin reservoir high speed surrounding rock generalized S transform time frequency characteristics multi-frequency interpretation frequency gradient Middle East region

Received: 13 July 2018 Published: 20 February 2019

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	Articles by authors
	Ya-Liang XIA
	Xiao-Dong WEI
	Yu-Feng YE
	Xin CHEN
	Hong-Mei WANG
	Yan-Jing LI
	Ying-Zhe MA
	Xiao-Huan YAN

Cite this article:

Ya-Liang XIA,Xiao-Dong WEI,Yu-Feng YE, et al. Generalized S transform multi-frequency interpretation technique and its application in thin reservoir evaluation[J]. Geophysical and Geochemical Exploration, 2019, 43(1): 168-175.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2019.1267 OR https://www.wutanyuhuatan.com/EN/Y2019/V43/I1/168

Thin reservoir evaluation workflow by multi-frequency interpretation technique

The composite columnar section of study area

Model test analysis of target reservoir
a—geologic model;b—forward modeling;c—generalized S transformation processing results(50 Hz)

Time frequency characteristics analysis of thin reservoir

Amplitude attribute of single frequency seismic data

Reservoir prediction results comparison by seismic attribute
a—RMS amplitude attribute;b—frequency gradient attribute

Relationship between frequency gradient and reservoir thickness

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