Data on Machine Learning Reported by Researchers at Northeast Petroleum Universi ty (Fault and Fracture Network Characterization Using Soft Computing Techniques: Application To Geologically Complex and Deeply-buried Geothermal Reservoirs)
Data on Machine Learning Reported by Researchers at Northeast Petroleum Universi ty (Fault and Fracture Network Characterization Using Soft Computing Techniques: Application To Geologically Complex and Deeply-buried Geothermal Reservoirs)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Daqing, People’s Republic o f China, by NewsRx editors, research stated, “Geothermal energy is asustainable energy source that meets the needs of the climate crisis and global warming cau sed by fossilfuel burning. Geothermal resources are found in complex geological settings, with faults and interconnectednetworks of fractures acting as pathwa ys for fluid circulation.”
Key words
Daqing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Northeast Petroleum Universi ty
NETL
NSTL