Multi-scale intelligent fusion and dynamic validation for high-resolution seismic data processing in drilling

During drilling operations, the low resolution of seismic data often limit the accurate characterization of small-scale geological bodies near the borehole and ahead of the drill bit. This study investigates high-resolution seismic data processing technologies and methods tailored for drilling scena...

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Main Authors: Sanyi YUAN, Yanwu XU, Renjun XIE, Shuai CHEN, Junliang YUAN
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-06-01
Series:Petroleum Exploration and Development
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Online Access:http://www.sciencedirect.com/science/article/pii/S1876380425605969
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author Sanyi YUAN
Yanwu XU
Renjun XIE
Shuai CHEN
Junliang YUAN
author_facet Sanyi YUAN
Yanwu XU
Renjun XIE
Shuai CHEN
Junliang YUAN
author_sort Sanyi YUAN
collection DOAJ
description During drilling operations, the low resolution of seismic data often limit the accurate characterization of small-scale geological bodies near the borehole and ahead of the drill bit. This study investigates high-resolution seismic data processing technologies and methods tailored for drilling scenarios. The high-resolution processing of seismic data is divided into three stages: pre-drilling processing, post-drilling correction, and while-drilling updating. By integrating seismic data from different stages, spatial ranges, and frequencies, together with information from drilled wells and while-drilling data, and applying artificial intelligence modeling techniques, a progressive high-resolution processing technology of seismic data based on multi-source information fusion is developed, which performs simple and efficient seismic information updates during drilling. Case studies show that, with the gradual integration of multi-source information, the resolution and accuracy of seismic data are significantly improved, and thin-bed weak reflections are more clearly imaged. The updated seismic information while-drilling demonstrates high value in predicting geological bodies ahead of the drill bit. Validation using logging, mud logging, and drilling engineering data ensures the fidelity of the processing results of high-resolution seismic data. This provides clearer and more accurate stratigraphic information for drilling operations, enhancing both drilling safety and efficiency.
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issn 1876-3804
language English
publishDate 2025-06-01
publisher KeAi Communications Co., Ltd.
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series Petroleum Exploration and Development
spelling doaj-art-bc3c798e24f54bdeb55acbce717cbe7c2025-06-28T05:29:46ZengKeAi Communications Co., Ltd.Petroleum Exploration and Development1876-38042025-06-01523680691Multi-scale intelligent fusion and dynamic validation for high-resolution seismic data processing in drillingSanyi YUAN0Yanwu XU1Renjun XIE2Shuai CHEN3Junliang YUAN4China University of Petroleum (Beijing), Beijing 102249, China; Corresponding authorChina University of Petroleum (Beijing), Beijing 102249, ChinaCNOOC Research Institute Ltd., Beijing 100028, ChinaChina University of Petroleum (Beijing), Beijing 102249, ChinaCNOOC Research Institute Ltd., Beijing 100028, ChinaDuring drilling operations, the low resolution of seismic data often limit the accurate characterization of small-scale geological bodies near the borehole and ahead of the drill bit. This study investigates high-resolution seismic data processing technologies and methods tailored for drilling scenarios. The high-resolution processing of seismic data is divided into three stages: pre-drilling processing, post-drilling correction, and while-drilling updating. By integrating seismic data from different stages, spatial ranges, and frequencies, together with information from drilled wells and while-drilling data, and applying artificial intelligence modeling techniques, a progressive high-resolution processing technology of seismic data based on multi-source information fusion is developed, which performs simple and efficient seismic information updates during drilling. Case studies show that, with the gradual integration of multi-source information, the resolution and accuracy of seismic data are significantly improved, and thin-bed weak reflections are more clearly imaged. The updated seismic information while-drilling demonstrates high value in predicting geological bodies ahead of the drill bit. Validation using logging, mud logging, and drilling engineering data ensures the fidelity of the processing results of high-resolution seismic data. This provides clearer and more accurate stratigraphic information for drilling operations, enhancing both drilling safety and efficiency.http://www.sciencedirect.com/science/article/pii/S1876380425605969high-resolution seismic data processingwhile-drilling updatewhile-drilling loggingmulti-source information fusionthin-bed weak reflectionartificial intelligence modeling
spellingShingle Sanyi YUAN
Yanwu XU
Renjun XIE
Shuai CHEN
Junliang YUAN
Multi-scale intelligent fusion and dynamic validation for high-resolution seismic data processing in drilling
Petroleum Exploration and Development
high-resolution seismic data processing
while-drilling update
while-drilling logging
multi-source information fusion
thin-bed weak reflection
artificial intelligence modeling
title Multi-scale intelligent fusion and dynamic validation for high-resolution seismic data processing in drilling
title_full Multi-scale intelligent fusion and dynamic validation for high-resolution seismic data processing in drilling
title_fullStr Multi-scale intelligent fusion and dynamic validation for high-resolution seismic data processing in drilling
title_full_unstemmed Multi-scale intelligent fusion and dynamic validation for high-resolution seismic data processing in drilling
title_short Multi-scale intelligent fusion and dynamic validation for high-resolution seismic data processing in drilling
title_sort multi scale intelligent fusion and dynamic validation for high resolution seismic data processing in drilling
topic high-resolution seismic data processing
while-drilling update
while-drilling logging
multi-source information fusion
thin-bed weak reflection
artificial intelligence modeling
url http://www.sciencedirect.com/science/article/pii/S1876380425605969
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AT yanwuxu multiscaleintelligentfusionanddynamicvalidationforhighresolutionseismicdataprocessingindrilling
AT renjunxie multiscaleintelligentfusionanddynamicvalidationforhighresolutionseismicdataprocessingindrilling
AT shuaichen multiscaleintelligentfusionanddynamicvalidationforhighresolutionseismicdataprocessingindrilling
AT junliangyuan multiscaleintelligentfusionanddynamicvalidationforhighresolutionseismicdataprocessingindrilling