Paper
11 October 2023 Identification and characterization of volcanic channels in fissure eruption
Peimao Wang, Lei Cao, Ru Gao, Li Zhang
Author Affiliations +
Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128003S (2023) https://doi.org/10.1117/12.3003913
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China
Abstract
The identification of volcanic pathways plays an important role in the study of volcanic reservoir formation and hydrocarbon migration. The volcanic channel of fissure eruption is different from the volcanic channel of central eruption, which often has the same reflection characteristics as the fault on the seismic section. The existing identification methods for the volcanic channel of central eruption cannot identify the volcanic channel of fissure eruption. In this paper, aiming at the accurate characterization of fissure eruption volcanic channel, a series technical process based on "enhanced processing attribute extraction attribute fusion" of post stack seismic data is established: after Principal Component Analysis (PCA) denoising of post stack seismic data, texture attributes are extracted to highlight the change of seismic reflection amplitude of fissure eruption volcanic rock, On this basis, local variance calculation is carried out to highlight the continuous difference between volcanic rock mass and surrounding rock, and the result is superimposed with the maximum likelihood attribute of identifying volcanic channel, so as to realize the accurate identification of fissured volcanic mechanism and channel, and reduce the ambiguity and uncertainty. This method has been applied to Yingcheng Formation in Songnan area.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Peimao Wang, Lei Cao, Ru Gao, and Li Zhang "Identification and characterization of volcanic channels in fissure eruption", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128003S (11 October 2023); https://doi.org/10.1117/12.3003913
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KEYWORDS
Principal component analysis

Reflection

Autocorrelation

Signal processing

Data fusion

Data modeling

Signal to noise ratio

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