A hybrid model based on unsupervised learning for seismic response feature extraction and gas-bearing reservoir prediction using longitudinal and transverse waves seismic data in low-degree exploration areas: A case study

Author:

Zhang Kai,Lin Niantian,Yang Jiuqiang,Fu Chao,Zhang Dong

Funder

China Postdoctoral Science Foundation

Qingdao Postdoctoral Science Foundation

Shandong Province Natural Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference47 articles.

1. The state-of-the-art techniques of hydrocarbon detection and its application in ultra-deep carbonate reservoir characterization in the Sichuan Basin, China;Cao;Front. Earth Sci.,2022

2. Seismic Facies Visualization Analysis Method of SOM Corrected by Uniform Manifold Approximation and Projection;Chen;IEEE Geosci. Remote Sens. Lett.,2023

3. Multiscale modeling of compartmentalized reservoirs using a hybrid clustering-based non-local approach;Esmaeilzadeh;J. Pet. Sci. En.,2019

4. A general spatio-temporal clustering-based non-local formulation for multiscale modeling of compartmentalized reservoirs;Esmaeilzadeh,2019

5. Fluid Accumulation Zone by Seismic Attributes and Amplitude Versus Offset Analysis at Solfatara Volcano, Campi Flegrei, Italy;Gammaldi;Front. Earth Sci.,2020

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