A Parametric Study of MPSO-ANN Techniques in Gas-Bearing Distribution Prediction Using Multicomponent Seismic Data

A Parametric Study of MPSO-ANN Techniques in Gas-Bearing Distribution Prediction Using Multicomponent Seismic Data

Predicting the oil–gas-bearing distribution of unconventional reservoirs is challenging because of the complex seismic response relationship of these reservoirs. Artificial neural network (ANN) technology has been popular in seismic reservoir prediction because of its self-learning and nonlinear exp...

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Bibliographic Details
Main Authors: Jiuqiang Yang, Niantian Lin, Kai Zhang, Lingyun Jia, Dong Zhang, Guihua Li, Jinwei Zhang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
multicomponent seismic data
artificial intelligence
mutation particle swarm optimization
artificial neural network
hyperparameter analysis
unconventional gas reservoir
Online Access:https://www.mdpi.com/2072-4292/15/16/3987

Internet

https://www.mdpi.com/2072-4292/15/16/3987

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