| Issue |
E3S Web Conf.
Volume 394, 2023
6th International Symposium on Resource Exploration and Environmental Science (REES 2023)
|
|
|---|---|---|
| Article Number | 01024 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/e3sconf/202339401024 | |
| Published online | 02 June 2023 | |
Seismic Intelligent Prediction of Thin Interbedded Sand Body--Taking Heidimiao Reservoir in X43 Block as an Example
1 School of Earth Sciences, Guilin University of Technology, Guilin 541000, China
2 School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China
3 FAPS Energy-Tech Ltd. of Heilongjiang Province, Daqing 163318, China
4 Geological Research Center, Geophysics Research Institute, Bureau of Geophysical Prospecting INC., Zhuozhou, Hebei, 072750, China
The Upper Cretaceous Nenjiang Formation in Songliao Basin is characterized by delta front subfacies, with a large area of thin channel sand and sheet sand, which is a typical problem of thin interbed identification. In this paper, based on the theoretical basis of seismic sedimentology and artificial intelligence algorithm, the application layer slicing technology and seismic data after 90 ° phase shift processing are used to carry out artificial intelligence prediction of thin interbedded sand bodies, which is in good agreement with wells.
Key words: Artificial intelligence / 90 °Phase Shift / Stratigraphic slice / Thin interbed
© The Authors, published by EDP Sciences, 2023
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