METHODS article
Front. Earth Sci.
Sec. Sedimentology, Stratigraphy and Diagenesis
Volume 13 - 2025 | doi: 10.3389/feart.2025.1675581
This article is part of the Research TopicSeismic Sedimentology; Concepts and ApplicationsView all 6 articles
Multi-Wave Seismic Sedimentology in Geological Anomaly Characterization: Methodological Innovations and Case Applications
Provisionally accepted- 1Exploration and Development Research Institute, PetroChina Southwest Oil and Gasfield Company, Chengdu, China
- 2PetroChina Southwest Oil and Gasfield Company, Chengdu, China
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With the increasing demand for unconventional resources, accurate characterization of tight sandstone gas reservoirs has become crucial. This study introduces an innovative multi-wave seismic sedimentology approach integrating P-wave, converted S-wave (PS-wave), and pseudo-S-wave attributes to enhance lithological prediction and reservoir heterogeneity analysis in the Jurassic Shaximiao Formation, Sichuan Basin. By combining 90 ° phase rotation, high-frequency stratal slicing, and differential PP-and PS-wave amplitude and phase analysis, the workflow effectively resolves vertically stacked sand bodies and identifies high-porosity "sweet spots." Results demonstrate that PS-wave data provide stable polarity responses for lithology discrimination, while pseudo-S-wave attributes improve vertical resolution for multi-phase channel identification. Field validations confirm >90% accuracy in sand body geometry predictions, with horizontal drilling achieving 87% reservoir encounter rates. The methodology overcomes limitations of conventional P-wave methods in low-impedance-contrast reservoirs and offers a cost-effective solution for early-phase exploration with limited well data. This integrated approach advances tight gas exploration by enabling robust characterization of complex geological anomalies and heterogeneous systems.
Keywords: Multi-wave seismic sedimentology, Tight sandstone gas, Pseudo-S-wave attribute, Seismic lithology prediction, Sichuan Basin
Received: 29 Jul 2025; Accepted: 30 Sep 2025.
Copyright: © 2025 Dai, Lv, Wei, Yan, Luo, Ran, Chen and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Juncheng Dai, 935892713@qq.com
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