首页|Tongji University Researcher Has Published New Study Findings on Machine Learnin g (Enhancing seismic porosity estimation through 3D sequence-to-sequence deep le arning with data augmentation, spatial and geologic constraints)
Tongji University Researcher Has Published New Study Findings on Machine Learnin g (Enhancing seismic porosity estimation through 3D sequence-to-sequence deep le arning with data augmentation, spatial and geologic constraints)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingfrom Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “Estimating porosityfrom seismic data is critical for studying underground rock properties, assessing ene rgy reserves, andsubsequent reservoir exploration and development. For reservoi rs with strong heterogeneity, the endeavorto accurately and stably characterize spatial variations in porosity often encounters considerable challengesdue to the rapid lateral changes of formations.”
Tongji UniversityShanghaiPeople’s Re public of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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