Machine Learning Methods for Identifying Composition of Uranium Deposits in Kazakhstan
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 re...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2017-12-01
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| Series: | Applied Computer Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/acss-2017-0014 |