首页|New Research on Machine Learning from Northeast Petroleum University Summarized (Pore Pressure Prediction for High-Pressure Tight Sandstone in the Huizhou Sag, Pearl River Mouth Basin, China: A Machine Learning-Based Approach)
New Research on Machine Learning from Northeast Petroleum University Summarized (Pore Pressure Prediction for High-Pressure Tight Sandstone in the Huizhou Sag, Pearl River Mouth Basin, China: A Machine Learning-Based Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Current study results on artificial in telligence have been published. According to news reporting from Daqing, People’ s Republic of China, by NewsRx journalists, research stated, “A growing number o f large data sets have created challenges for the oil and gas industry in predic ting reservoir parameters and assessing well productivity through efficient and cost-effective techniques. The design of drilling plans for a high-pressure tigh t-sand reservoir requires accurate estimations of pore pressure (Pp) and reservo ir parameters.”
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