Cycle-consistent convolutional neural network for seismic impedance inversion: An application for high-resolution characterization of turbidites reservoirs-Reference-Cited by-同舟云学术

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Cycle-consistent convolutional neural network for seismic impedance inversion: An application for high-resolution characterization of turbidites reservoirs

Published:2024-04 Issue: Volume:235 Page:212709
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Fernandes Fábio Júnior Damasceno,Oliveira Neto Eberton Rodrigues de,Teixeira Leonardo,Freire Antonio Fernando Menezes,Lupinacci Wagner Moreira

Publisher

Elsevier BV

Reference69 articles.

1. Semisupervised sequence modeling for elastic impedance inversion;Alfarraj;Interpretation,2019

2. Characterization of a carbonate geothermal reservoir using rock-physics-guided deep neural networks;Allo;Lead. Edge,2021

3. Geophysical inversion using multilayer perceptron;Arif,2009

4. Wasserstein GAN;Arjovsky,2017

5. Parameter Estimation and Inverse Problems;Aster,2004

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