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Physical modeling of complex lithofacies volcanic edifices and seismic characteristics.
- Source :
- Journal of Geophysics & Engineering; Dec2023, Vol. 20 Issue 6, p1252-1268, 17p
- Publication Year :
- 2023
-
Abstract
- The Songnan fault basin contains a significant distribution of basaltic volcanic rock structures, and serves as one of the primary types of reservoir in the area. Volcanic formations exhibit notable distinctions when compared to conventional oil and gas reservoirs, and the precise seismic response mechanism of these formations remains uncertain. Hence, it is imperative to investigate the seismic response mechanism of volcanic formations to enhance the geophysical characterization capability of oil and gas reservoirs composed of igneous rock. The seismic physical simulation model method is used to obtain dependable data for investigating the seismic response mechanisms of volcanic structures. This is achieved by constructing intricate physical models of rocks and volcanic structures. Our team focused on the development of materials and processes for accurately modeling various rock and volcanic structures, and we successfully designed and produced a three-dimensional physical model representing volcanic structures in the Chaganhua area. Furthermore, we conducted thorough data acquisition and analysis to examine the seismic response characteristics and sensitive properties of different geological bodies. We improved the accuracy of identifying different lithofacies of volcanic rocks by extracting different seismic attributes. This study presents a reliable approach for elucidating the seismic response mechanism of intricate rock and volcanic formations. It can also serve as a valuable resource for processing and interpreting seismic data in the specific study region. The conclusion that weak seismic reflection signals in volcanic rocks are effective signals rather than noise could be more conducive to accurate analysis and description of volcanic structures. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17422132
- Volume :
- 20
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Journal of Geophysics & Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 174979419
- Full Text :
- https://doi.org/10.1093/jge/gxad081