Multi-attribute Probabilistic Neural Network Reservoir Prediction Based on Mudstone Acoustic Time Difference Decompaction Correction
In order to accurately predict reservoirs with similar physical properties between sandstone and surrounding rocks, this study takes Carboniferous-Permian system in southeastern Ordos Basin as an example, and puts forward a multi-attribute probabilistic neural network prediction method based on acou...
Main Authors: | Feng Guo, Xudong Yang, Ling Guo, Shenghua Lai |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2024-01-01
|
Series: | Energy Exploration & Exploitation |
Online Access: | https://doi.org/10.1177/01445987231188063 |
Similar Items
-
Evaluation of Pigeon Pea Lines for Biological Soil Decompaction
by: Rodolfo Godoy, et al.
Published: (2009-01-01) -
Mechanical and Biological Soil Decompaction for No-Tillage Maize Production
by: José Luiz Rodrigues Torres, et al.
Published: (2022-09-01) -
Fertilizer shanks to promote soil decompaction in the seeding operation
by: Marta Sandra Drescher, et al. -
Ellipsometric spectroscopy studies of compaction and decompaction of Si-SiO2 systems
by: Witold Rzodkiewicz, et al.
Published: (2023-06-01) -
Optimizing petrophysical property prediction in fluvial-deltaic reservoirs: a multi-seismic attribute transformation and probabilistic neural network approach
by: Muhammad Khan, et al.
Published: (2025-02-01)