Abstract
Facies classification is the process of identifying rock lithology based on indirect measurements such as well log measurements. The facies classified manually by experienced geologists, so it takes a long time and is less efficient. Machine learning applications in facies classification can increase the effectiveness and efficiency of geophysical interpretation on complex data. The purpose of this study is to examine the application of machine learning algorithms SVM and KNN in facies estimation. The results showed that the KNN algorithm is better at estimating facies than the SVM algorithm.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Aceh International Journal of Science and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
