Geological Modeling Technology and Application Based on Seismic Interpretation Results under the Background of Artificial Intelligence

The development of seismic technology has made seismic data to be widely used in the interpretation of stratigraphic sequence frames, reservoir identification, fluid detection, and other research fields involved in reservoir description. The 3D technology reservoirs have always been the focus, as we...

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Autores principales:	Ximing Peng, Minglu Li, Yalin Zhu, Na Li, Hao Dong
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/50598f48802943b2910534bb860a147d
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spelling	oai:doaj.org-article:50598f48802943b2910534bb860a147d2021-11-15T01:19:26ZGeological Modeling Technology and Application Based on Seismic Interpretation Results under the Background of Artificial Intelligence1875-905X10.1155/2021/3584672https://doaj.org/article/50598f48802943b2910534bb860a147d2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/3584672https://doaj.org/toc/1875-905XThe development of seismic technology has made seismic data to be widely used in the interpretation of stratigraphic sequence frames, reservoir identification, fluid detection, and other research fields involved in reservoir description. The 3D technology reservoirs have always been the focus, as well as difficulty, of research. With the rapid development of information technology and the continuous improvement of seismic exploration level, people have put forward higher requirements for the accuracy of seismic data interpretation results. Aiming at the large number of structural and unstructured data in seismic, logging, geology, and other disciplines involved in seismic interpretation, how to effectively organize and coordinate analysis to discover the hidden reservoir structure and oil and gas distribution information has always been a geological and important topic for information processing technicians. This thesis is aimed at the current high-water-phase development of Shengtuo Oilfield reservoir and the problems existing in geological research. Based on seismic structural interpretation and attribute analysis, this paper analyzes the reservoir structural characteristics, sedimentary characteristics, and reservoir physical parameter characteristics based on geology, logging interpretation, core analysis, drilling, and seismic interpretation. Using the kriging method with external drift can cooperate with seismic variables to establish a reservoir geological model to study the Shengtuo Oilfield reservoir. We combine artificial intelligence technology with geological modeling technology of seismic interpretation results to explore the best method for predicting earthquakes. The research results in this paper show that the relative error of the model established by the kriging method in the article is relatively small for thinning wells, mainly concentrated around 1%. Examination of the thinning wells of 45 wells shows that the model established is basically good and the example has high accuracy. The research results in this paper have a guiding study of distribution and tapping potentials in the study area, formulating reasonable development and adjustment plans and improving oil recovery.Ximing PengMinglu LiYalin ZhuNa LiHao DongHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Ximing Peng Minglu Li Yalin Zhu Na Li Hao Dong Geological Modeling Technology and Application Based on Seismic Interpretation Results under the Background of Artificial Intelligence
description	The development of seismic technology has made seismic data to be widely used in the interpretation of stratigraphic sequence frames, reservoir identification, fluid detection, and other research fields involved in reservoir description. The 3D technology reservoirs have always been the focus, as well as difficulty, of research. With the rapid development of information technology and the continuous improvement of seismic exploration level, people have put forward higher requirements for the accuracy of seismic data interpretation results. Aiming at the large number of structural and unstructured data in seismic, logging, geology, and other disciplines involved in seismic interpretation, how to effectively organize and coordinate analysis to discover the hidden reservoir structure and oil and gas distribution information has always been a geological and important topic for information processing technicians. This thesis is aimed at the current high-water-phase development of Shengtuo Oilfield reservoir and the problems existing in geological research. Based on seismic structural interpretation and attribute analysis, this paper analyzes the reservoir structural characteristics, sedimentary characteristics, and reservoir physical parameter characteristics based on geology, logging interpretation, core analysis, drilling, and seismic interpretation. Using the kriging method with external drift can cooperate with seismic variables to establish a reservoir geological model to study the Shengtuo Oilfield reservoir. We combine artificial intelligence technology with geological modeling technology of seismic interpretation results to explore the best method for predicting earthquakes. The research results in this paper show that the relative error of the model established by the kriging method in the article is relatively small for thinning wells, mainly concentrated around 1%. Examination of the thinning wells of 45 wells shows that the model established is basically good and the example has high accuracy. The research results in this paper have a guiding study of distribution and tapping potentials in the study area, formulating reasonable development and adjustment plans and improving oil recovery.
format	article
author	Ximing Peng Minglu Li Yalin Zhu Na Li Hao Dong
author_facet	Ximing Peng Minglu Li Yalin Zhu Na Li Hao Dong
author_sort	Ximing Peng
title	Geological Modeling Technology and Application Based on Seismic Interpretation Results under the Background of Artificial Intelligence
title_short	Geological Modeling Technology and Application Based on Seismic Interpretation Results under the Background of Artificial Intelligence
title_full	Geological Modeling Technology and Application Based on Seismic Interpretation Results under the Background of Artificial Intelligence
title_fullStr	Geological Modeling Technology and Application Based on Seismic Interpretation Results under the Background of Artificial Intelligence
title_full_unstemmed	Geological Modeling Technology and Application Based on Seismic Interpretation Results under the Background of Artificial Intelligence
title_sort	geological modeling technology and application based on seismic interpretation results under the background of artificial intelligence
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/50598f48802943b2910534bb860a147d
work_keys_str_mv	AT ximingpeng geologicalmodelingtechnologyandapplicationbasedonseismicinterpretationresultsunderthebackgroundofartificialintelligence AT mingluli geologicalmodelingtechnologyandapplicationbasedonseismicinterpretationresultsunderthebackgroundofartificialintelligence AT yalinzhu geologicalmodelingtechnologyandapplicationbasedonseismicinterpretationresultsunderthebackgroundofartificialintelligence AT nali geologicalmodelingtechnologyandapplicationbasedonseismicinterpretationresultsunderthebackgroundofartificialintelligence AT haodong geologicalmodelingtechnologyandapplicationbasedonseismicinterpretationresultsunderthebackgroundofartificialintelligence
_version_	1718428921297371136

Geological Modeling Technology and Application Based on Seismic Interpretation Results under the Background of Artificial Intelligence

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