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Article
Identification of physical processes and unknown parameters of 3D groundwater contaminant problems via theory-guided U-net
Identification of unknown physical processes and parameters of groundwater contaminant problems is a challenging task due to their ill-posed and non-unique nature. Numerous works have focused on determining no...
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Article
Open AccessDeep-learning-based upscaling method for geologic models via theory-guided convolutional neural network
Large-scale or high-resolution geologic models usually comprise a huge number of grid blocks, which can be computationally demanding and time-consuming to solve with numerical simulators. Therefore, it is adva...
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Article
Hydrogeochemistry and Formation of Low Temperature Geothermal Waters in South Hunan, China
The south of Hunan is rich in low temperature geothermal water resources, yet their formation mechanism has not been well investigated. This study focused on the occurrence conditions of geothermal water and e...
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Article
Open AccessMachine learning subsurface flow equations from data
Governing equations of physical problems are traditionally derived from conservation laws or physical principles. However, some complex problems still exist for which these first-principle derivations cannot b...
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Article
Jointly updating the mean size and spatial distribution of facies in reservoir history matching
There exist several methods for history matching of reservoir facies distribution. When using these methods, the facies mean size is usually supposed to be prior information known without uncertainty. However,...
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Article
History matching of statistically anisotropic fields using the Karhunen-Loeve expansion-based global parameterization technique
Traditional ensemble-based history matching method, such as the ensemble Kalman filter and iterative ensemble filters, usually update reservoir parameter fields using numerical grid-based parameterization. Alt...
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Article
A comparative study of numerical approaches to risk assessment of contaminant transport
In risk analysis, a complete characterization of the concentration distribution is necessary to determine the probability of exceeding a threshold value. The most popular method for predicting concentration di...
