Automatic interpretation of well logging data using machine learning capabilities
UDC: 550.83.05
DOI: 10.33285/2413-5011-2023-9(381)-38-41
Authors:
MUSIN KIRILL A.
1,
ZAKOMALDIN EVGENIY A.1
1 LUKOIL-Engineering "KogalymNIPIneft" Branch Office in Tyumen, Tyumen, Russia
Keywords: hine learning, geology, geophysics, interpretation
Annotation:
Nowadays digitalization of the oil and gas industry is a promising direction. Many projects are already being implemented in various directions. As a development of competencies, the article proposes a technology for interpreting geophysical curves using machine learning.
The main idea is to interpret geophysical curves using machine learning and compare the efficiency of the algorithm with expert judgment on the selected well. The article considers a possible approach to solving the problem.
This technique will speed up the processing of geophysical curves by experts and can also be of a recommendatory nature when identifying intervals of reservoir rocks.
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