King Fahd University of Petroleum and Minerals Reports Findings in Artificial Neural Networks (Estimation of rocks’ failure parameters from drilling data by using artificial neural network)

摘要

By a News Reporter-Staff News Editor at Network Daily News – New researchon Artificial Neural Networks is the subject of a report. According to news reporting originating in Dhahran,Saudi Arabia, by NewsRx journalists, research stated, “Comprehensive and precise knowledge about rocks’mechanical properties facilitate the drilling performance optimization, and hydraulic fracturing design andreduces the risk of wellbore-related problems. This paper is concerned with the failure parameters, namely,cohesion and friction angle which are conventionally estimated using Mohr’s cycles that are drawn usingcompressional tests on rock samples.”