首页|Data from Newcastle University Advance Knowledge in Machine Learning (Enhancing the resolution of sparse rock property measurements using machine learning and r andom field theory)
Data from Newcastle University Advance Knowledge in Machine Learning (Enhancing the resolution of sparse rock property measurements using machine learning and r andom field theory)
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 Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Newcastle University by NewsRx correspondents, research stated, “The travel time of rock compression al waves is an essential parameter used for estimating important rock properties , such as porosity, permeability, and lithology. Current methods, like wireline logging tests, provide broad measurements but lack finer resolution.” Financial supporters for this research include National Natural Science Foundati on of China; Australian Government; Australian Research Council.
NETL
NSTL
