... to be consistent with the trend of the fluctuation in permeability. Artificial Intelligence Upstream Oil & Gas machine learning Reservoir Characterization Pattern Recognition fracture characterization hydraulic fracturing granite core aperture x-ray ct proceedings mean aperture 12 structural...

... using X-Ray Diffraction, Scanning Electron Microscopy, and Mineral Liberation Analysis. The results are used to explain trends in laboratory direct shear test stiffness and strength properties of the Cobourg limestone from the Bowmanville and Bruce sites. 1. INTRODUCTION Pattern Recognition...

... strength and brittleness as inputs. It is pursued by the application of pattern recognition which is achieved by ANNs. Artificial Intelligence classification Upstream Oil & Gas Engineering Pattern Recognition machine learning abrasivity index strength artificial neural network...

... machine learning acoustic emission signal Reservoir Characterization piezoelectric transducer experiment signal beam metals & mining AE signal sandstone application Pattern Recognition Artificial Intelligence detection rock specimen laser ultrasonic transducer specimen...

... differences in AE properties can be found among different drilling situations such as: new bit, worn bit, etc.; and that these differences may be identified by pattern recognition techniques. INTRODUCTION Drilling is an activity with many applications of strategic or societal importance. The fields using...

... such as fuzzy decision making, fuzzy pattern recognition, fuzzy clustering, fuzzy reasoning, and many etaergo Fuzzy methodology takes into account professional expertise and judgment in expert systems. This paper presents a preli inary discussion of approaches to the development of such systems. INTRODUCTION...