Enhancing Lithofacies Interpretation in Well Logs With Graph-Based Feature Extraction-Reference-Cited by-同舟云学术

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Enhancing Lithofacies Interpretation in Well Logs With Graph-Based Feature Extraction

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Datta Deepan¹^ORCID,Jenamani Mamata²,Routray Aurobinda³^ORCID,Singh Sanjai K.⁴

Affiliation:

1. Advanced Technology Development Centre, IIT Kharagpur, Kharagpur, India

2. Industrial and Systems Engineering, IIT Kharagpur, Kharagpur, India

3. Department of Electrical Engineering, IIT Kharagpur, Kharagpur, India

4. GEOPIC, ONGC, Dehradun, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10555142.pdf?arnumber=10555142

Reference18 articles.

1. Quantitative log interpretation and uncertainty propagation of petrophysical properties and facies classification from rock-physics modeling and formation evaluation analysis

2. The Role of Electrofacies, Lithofacies, and Hydraulic Flow Units in Permeability Prediction From Well Logs: A Comparative Analysis Using Classification Trees

3. Facies classification using machine learning

4. Automatic Classification of Lithofacies with Highly Imbalanced Dataset Using Multistage SVM Classifier

5. Comparison of four approaches to a rock facies classification problem

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