Detecting small-scale geological structures using diffraction attributes

We developed a method that uses diffracted wave data to address the issue of precisely characterizing small geological structures in a reservoir and demonstrated its effectiveness using model calculations. The method was implemented to characterize a fractured reservoir and igneous rock intruded in...

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Main Authors: Wang Juhe, Chen Xiuping, Shu Mengcheng, Cheng Sen
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/19/e3sconf_esat2022_01074.pdf
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author Wang Juhe
Chen Xiuping
Shu Mengcheng
Cheng Sen
author_facet Wang Juhe
Chen Xiuping
Shu Mengcheng
Cheng Sen
author_sort Wang Juhe
collection DOAJ
description We developed a method that uses diffracted wave data to address the issue of precisely characterizing small geological structures in a reservoir and demonstrated its effectiveness using model calculations. The method was implemented to characterize a fractured reservoir and igneous rock intruded in a carbonate reservoir. Two diffraction attributes were analyzed to precisely characterize the fine, small-scale geological structures therein. Principal component analysis was performed to extract diffraction data from seismic wave fields, and the reflection and diffraction wave fields were separated based on the kinematics and dynamics of the diffracted waves. The resulting diffracted wave fields provided an excellent basis upon which to assess the distribution of small geological structures in the study area. This proved, experimentally, that our diffraction-based method has the potential to characterize the distribution of small geological structures precisely and holistically.
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spelling doaj.art-452f5ca8faa24a3597747e52ece5a70d2022-12-22T03:37:57ZengEDP SciencesE3S Web of Conferences2267-12422022-01-013520107410.1051/e3sconf/202235201074e3sconf_esat2022_01074Detecting small-scale geological structures using diffraction attributesWang Juhe0Chen Xiuping1Shu Mengcheng2Cheng Sen3Petroleum Engineering Technology Research Institute, Sinopec Northwest Oilfield CompanyPetroleum Engineering Technology Research Institute, Sinopec Northwest Oilfield CompanyChina University of PetroleumNanjing GeoButton Information Tech. Co., LtdWe developed a method that uses diffracted wave data to address the issue of precisely characterizing small geological structures in a reservoir and demonstrated its effectiveness using model calculations. The method was implemented to characterize a fractured reservoir and igneous rock intruded in a carbonate reservoir. Two diffraction attributes were analyzed to precisely characterize the fine, small-scale geological structures therein. Principal component analysis was performed to extract diffraction data from seismic wave fields, and the reflection and diffraction wave fields were separated based on the kinematics and dynamics of the diffracted waves. The resulting diffracted wave fields provided an excellent basis upon which to assess the distribution of small geological structures in the study area. This proved, experimentally, that our diffraction-based method has the potential to characterize the distribution of small geological structures precisely and holistically.https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/19/e3sconf_esat2022_01074.pdf
spellingShingle Wang Juhe
Chen Xiuping
Shu Mengcheng
Cheng Sen
Detecting small-scale geological structures using diffraction attributes
E3S Web of Conferences
title Detecting small-scale geological structures using diffraction attributes
title_full Detecting small-scale geological structures using diffraction attributes
title_fullStr Detecting small-scale geological structures using diffraction attributes
title_full_unstemmed Detecting small-scale geological structures using diffraction attributes
title_short Detecting small-scale geological structures using diffraction attributes
title_sort detecting small scale geological structures using diffraction attributes
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/19/e3sconf_esat2022_01074.pdf
work_keys_str_mv AT wangjuhe detectingsmallscalegeologicalstructuresusingdiffractionattributes
AT chenxiuping detectingsmallscalegeologicalstructuresusingdiffractionattributes
AT shumengcheng detectingsmallscalegeologicalstructuresusingdiffractionattributes
AT chengsen detectingsmallscalegeologicalstructuresusingdiffractionattributes