The power of Machine Learning is demonstrated for automatic interpretation well logs and determining reservoir properties volume shale, porosity, water saturation respectively tight clastic sequences. Random Forest algorithms are reputed their efficiency as they belong to a class called ensemble methods, which traditionally seen weak learners, but can be transformed into strong performers promi...

China has vast reserves of shale gas. Currently, shale gas is one of the focuses of the unconventional reservoir. Well logs play an import role in shale gas production, and it is the bridge connecting geology, geophysics and petroleum engineering. In the exploration stage, well logs are used to identify lithology, evaluate the parameters of mineral types and compositions, total organic carbon (...

Detection of Oil-Water Contacts (OWCs) is one of the primary tasks before evaluation of reservoir’s hydrocarbon in place, determining net pay zones and suitable depths for perforation operation. This paper introduces Bayesian decision making tool as an effective technique in OWC detecting using wire line logs. To compare strengths of the suggested method in detecting OWC with conventional one, ...