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Analysis of Carbon Dioxide Injectivity and Dynamic Storage Capacity in Shale Reservoirs
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Carbon dioxide could be stored in unconventional shale reservoirs in a supercritical state due to available pore volume, infrastructure, and injectivity. However, there is a lack of knowledge about the injectivity and ...
A Coarse-Grained Regularization Method of Convolutional Kernel for Molten Pool Defect Identification
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Machine vision has a wide range of applications in the field of welding. The rise of convolutional neural network (CNN) provides a new way to extract visual features of welding. Due to the limitation of the small size of ...
General-Surrogate Adaptive Sampling Using Interquartile Range for Design Space Exploration
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A surrogate model is a common tool to approximate system response at untested points for design space exploration. Adaptive sampling has been studied for improving the accuracy of surrogates iteratively by introducing ...
Analysis of Ultimate Gas Recovery in Shale Reservoirs
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Horizontal wells with multistage fracture treatments enabled economic gas production from shale gas reservoirs. Recovery from a typical shale reservoir is usually quite low as numerous factors can affect the ultimate ...
Function Prediction at One Inaccessible Point Using Converging Lines
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The focus of this paper is a strategy for making a prediction at a point where a function cannot be evaluated. The key idea is to take advantage of the fact that prediction is needed at one point and not in the entire ...
Advances in Bayesian Probabilistic Modeling for Industrial Applications
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Industrial applications frequently pose a notorious challenge for state-of-the-art methods in the contexts of optimization, designing experiments and modeling unknown physical response. This problem is aggravated by limited ...