Optimizing petrophysical property prediction in fluvial-deltaic reservoirs: a multi-seismic attribute transformation and probabilistic neural network approach
Abstract Conventional techniques, which depend on geostatistical modeling, frequently fail to capture reservoir variability, especially when well data are sparse. To overcome this limitation, we develop a combined approach that integrates Multi-Seismic Attribute Transformation (MSAT) and Probabilist...
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Main Authors: | Muhammad Khan, Andy Anderson Bery, Yasir Bashir, Sya’rawi Muhammad Husni Sharoni, Joseph Gnapragasan, Qazi Sohail Imran |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2025-02-01
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Series: | Journal of Petroleum Exploration and Production Technology |
Subjects: | |
Online Access: | https://doi.org/10.1007/s13202-024-01912-6 |
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