首页|New Machine Learning Study Findings Have Been Reported from Egyptian Petroleum R esearch Institute (Carbonate Reservoir Characterization and Permeability Modelin g Using Machine Learning - a Study From Ras Fanar Field, Gulf of Suez, Egypt)
New Machine Learning Study Findings Have Been Reported from Egyptian Petroleum R esearch Institute (Carbonate Reservoir Characterization and Permeability Modelin g Using Machine Learning - a Study From Ras Fanar Field, Gulf of Suez, Egypt)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingout of Cairo, Egypt, by NewsRx edit ors, research stated, “Predicting facies and petrophysical propertiesalong and between wells is challenging in carbonate reservoir modeling. In the Nullipore c arbonate reservoir,Ras Fanar field, depositional and long-term diagenetic proce sses result in a high degree of heterogeneityand complex distribution of facies , which in turn affect the reservoir quality.”
CairoEgyptAfricaAlkaliesAnionsCarbonatesCarbonic AcidCyborgsEmerging TechnologiesMachine LearningEgy ptian Petroleum Research Institute
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