首页|College of Petroleum Engineering and Geosciences Researchers Further Understanding of Machine Learning (Reservoir Property Prediction in the North Sea Using Machine Learning)
College of Petroleum Engineering and Geosciences Researchers Further Understanding of Machine Learning (Reservoir Property Prediction in the North Sea Using Machine Learning)
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 Daily News – Current study results on artificial intelligence have been published. According tonews originating from Dhahran, Saudi Arabia, by NewsRx editors, the research stated, “The North Seasedimentary basin is characterized by geological complexity, encompassing a wide range of rock types andstructures, including multiple reservoirs (carbonates and siliciclastic) with variations in reservoir quality andheterogeneity. These phenomena pose significant challenges for accurately predicting reservoir propertiesusing traditional well log analysis.”
College of Petroleum Engineering and GeosciencesDhahranSaudi ArabiaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
