Prediction Method of Sand Body Lithology Based on Machine Learning Algorithm and Dual Optimization of Attribute Characteristics
Abstract:With the development of science and technology, the prediction of earthquake disasters in China has made some progress. For some complex environments, target recognition gradually depends on machine learning algorithms. In order to accurately detect oil and gas fields, this paper intends to analyze and study the lithology of sand bodies before and after the earthquake. This paper intends to use machine learning algorithm to study the prediction method of sand body lithology, in order to improve the accuracy of… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.