Well-Logs Data Processing Using the Fractal Analysis and Neural Network

Aliouane, Leila; Ouadfeul, Sid‐Ali; Boudella, Amar

doi:10.5772/51875

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Artificial Neural Network1

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2015

2024

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Cited by 5 publications

(1 citation statement)

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“…They are trained based on experience, generalising previous precedents to new cases, and extracting essential properties from incoming information containing redundant data. The use of neural networks to solve practical problems of interpretation of geophysical logging data is covered in [23] and [24].…”

Section: Artificial Neural Networkmentioning

confidence: 99%

Machine Learning Methods for Identifying Composition of Uranium Deposits in Kazakhstan

Kuchin

Grundspeņķis

2017

Applied Computer Systems

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-The paper explores geophysical methods of wells survey, as well as their role in the development of Kazakhstan's uranium deposit mining efforts. An analysis of the existing methods for solving the problem of interpreting geophysical data using machine learning in petroleum geophysics is made. The requirements and possible applications of machine learning methods in regard to uranium deposits of Kazakhstan are formulated in the paper.

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Section: Artificial Neural Networkmentioning

confidence: 99%