a semi-micromechanical multilaminate model is introduced here to predict the mechanical behavior of soils. this model is like a bridge between micro and macro scale upon the satisfaction of minimum potential energy level during any applied stress/strain increments. the concept of this model is based on a certain number of sampling planes which constitute the elastic-plastic behavior of the soil...

Excessive nutrient loadings from drainage areas and resulting water quality degradation in rivers are the major environmental issues around world. The further deteriorates for large seasonal variation of precipitation flow. Environmental decision makers have been exploring affordable effective ways securing flow (EF) to improve quality, especially dry seasons, agricultural reservoirs attracted ...

A simulated reservoir model, based on the permeability fractal model and three-dimensional (3D) Gaussian filter, was established to account for in-layer interlayer heterogeneity so that result conforms law of geological statistics. Combined with an embedded discrete fracture method (EDFM), a multiscale system established, forming numerical simulation multiphase flow in horizontal wells heteroge...

Canister core desorption has been successfully applied to coal-bed methane evaluation and exploitation as the technique eliminates need for time-consuming down-hole fluid retrieval through flow testing. The also used exploration of early-stage tight shale gas reservoirs in recent years, although its success applicability are poorly understood. In this study, we analyzed a comprehensive canister...

The thermodynamic properties of fluid mixtures play a crucial role in designing physically meaningful models and robust algorithms for simulating multi-component multi-phase flow subsurface, which is needed many subsurface applications. In this context, the equation-of-state-based flash calculation used to predict equilibrium each phase given mixture going through splitting component, often bot...

Predicting multiphase flow in complex fractured reservoirs is essential for developing unconventional resources, such as shale gas and oil. Traditional numerical methods are computationally expensive, deep learning methods, an alternative approach, have become increasingly popular topic. Fourier neural operator (FNO) networks been shown to be a hundred times faster than convolutional (CNNs) pre...

Abstract Hydrocarbons exist in abundant quantity beneath the earth's surface. These hydrocarbons are generally classified as conventional and unconventional depending upon their nature, geology, exploitation procedure. Since under depletion phase, have been a major candidate for current future hydrocarbon production. Additionally, investment research increased significantly its exploitation. Ha...