首页|Studies from Egyptian Petroleum Research Institute Have Provided New Data on Mac hine Learning (Reservoir Rock Typing for Optimum Permeability Prediction of Nubi a Formation In October Field, Gulf of Suez, Egypt)
Studies from Egyptian Petroleum Research Institute Have Provided New Data on Mac hine Learning (Reservoir Rock Typing for Optimum Permeability Prediction of Nubi a Formation In October Field, Gulf of Suez, Egypt)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news originatingfrom Cairo, Egypt, by NewsRx corresp ondents, research stated, “Permeability prediction and distributionis very crit ical for reservoir modeling process. The conventional method for obtaining perme ability datais from cores, which is a very costly method.”
CairoEgyptAfricaAlgorithmsCyborg sEmerging TechnologiesMachine LearningEgyptian Petroleum Research Institut e
NETL
NSTL
