Cite
Data from Southwest Petroleum University Provide New Insights into Applied Sciences (Intelligent Stuck Pipe Type Recognition Using Digital Twins and Knowledge Graph Model)
MLA
“Data from Southwest Petroleum University Provide New Insights into Applied Sciences (Intelligent Stuck Pipe Type Recognition Using Digital Twins and Knowledge Graph Model).” Science Letter, 24 Mar. 2023, p. 121. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsggo&AN=edsgcl.741943851&authtype=sso&custid=ns315887.
APA
Data from Southwest Petroleum University Provide New Insights into Applied Sciences (Intelligent Stuck Pipe Type Recognition Using Digital Twins and Knowledge Graph Model). (2023, March 24). Science Letter, 121.
Chicago
Science Letter. 2023. “Data from Southwest Petroleum University Provide New Insights into Applied Sciences (Intelligent Stuck Pipe Type Recognition Using Digital Twins and Knowledge Graph Model),” March 24. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsggo&AN=edsgcl.741943851&authtype=sso&custid=ns315887.