Identification methods for low-amplitude structures in Oilfield A Article Swipe

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Aihua Guo , Pengfei Lu , Xi Zhang , Xiaohong Chen , Shuhao Jiang , Bing Wang ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1093/jge/gxaf140

During the exploration and development of Oilfield A, the formation dip revealed by drilling data showed certain differences from the structure map predicted by conventional structural interpretation and mapping methods. This indicated that conventional methods would have difficulty in identifying low-amplitude structures in this area. To solve this geological problem, a comprehensive identification technology system for low-amplitude structural traps is proposed. The system begins with shearlet transform-based seismic data processing to enhance geological response features, followed by a detailed structural interpretation under the guidance of geological models. Innovatively, a shoreface sandbar deposition model is introduced, establishing a “flat base and convex top” interpretation framework, and adopted a technical workflow integrating seismic imaging velocity as soft constraint data with high-resolution vertical well velocity as hard constraint data for joint modeling. Thus, velocity-variant mapping was performed to achieve precise characterization of low-amplitude structures in Oilfield A. Practical applications demonstrated that this technological system significantly improved the consistency between seismic interpretation results and drilling data, providing a reliable geological basis and important technical support for the formulation of subsequent development plans for this oilfield.

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Type: article
Language: en
Landing Page: https://doi.org/10.1093/jge/gxaf140
OA Status: gold
OpenAlex ID: https://openalex.org/W4416058815

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OpenAlex ID: https://openalex.org/W4416058815

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DOI: https://doi.org/10.1093/jge/gxaf140

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Title: Identification methods for low-amplitude structures in Oilfield A

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-11-06

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Authors: Aihua Guo, Pengfei Lu, Xi Zhang, Xiaohong Chen, Shuhao Jiang, Bing Wang

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Landing page: https://doi.org/10.1093/jge/gxaf140

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OA URL: https://doi.org/10.1093/jge/gxaf140

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Cited by: 0

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