Application of Deep Learning for Reservoir Porosity Prediction and Self Organizing Map for Lithofacies Prediction-Reference-Cited by-同舟云学术

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Application of Deep Learning for Reservoir Porosity Prediction and Self Organizing Map for Lithofacies Prediction

Published:2024-11 Issue: Volume:230 Page:105502
ISSN:0926-9851
Container-title:Journal of Applied Geophysics
language:en
Short-container-title:Journal of Applied Geophysics

Author:

Hussain Mazahir,Liu Shuang,Hussain Wakeel,Liu Quanwei,Hussain Hadi,Ashraf Umar

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference53 articles.

1. Cluster Analysis Approach to Identify Rock Type in Tertiary Reservoir of Khabaz Oil Field Case Study. Iraqi;Al Kattan;J. Chem. Pet. Eng,2018

2. Machine learning - a novel approach of well logs similarity based on synchronization measures to predict shear sonic logs;Ali;J. Pet. Sci. Eng.,2021

3. Data-driven lithofacies prediction in complex tight sandstone reservoirs: a supervised workflow integrating clustering and classification models;Ali;Geomech. Geophys. Geo-Energy Geo-Resour.,2024

4. Development of a computer program for zoeppritz energy partition equations and their various approximations to affirm presence of hydrocarbon in missakeswal area;Anees;Geosciences,2017

5. Machine learning technique for the prediction of shear wave velocity using petrophysical logs;Anemangely;J. Pet. Sci. Eng.,2019

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