... 2 methane conversion fe 3 particle shale reservoir microwave irradiation conversion efficiency Introduction Energy transition towards a clean energy future is underway to limit the rise of average global temperatures to 2°C above pre-industrial levels. This requires a significant...

... choke complex reservoir condensate reservoir reduction choke history stb mmscf petroleum engineer reversible relationship shale reservoir condensate banking upstream oil & gas dewpoint shale gas cgr figure 4 eagle ford isotherm choke management adsorbed ga Statement...

... is a combination of nodes that contain the input dataset, the context data set, the operations connected to the data conditioning, and a learning node where the machine learning model parameters are given, and the target column is selected. In this study, the input dataset is the consolidated shale reservoir...

... reservoir. Shale gas stores in shale fractures/pores in free and adsorbed phases, while water initially exists in bulk and adsorbed phase in shale reservoir. The moisture content in shale impacts gas adsorption capacity, and the improved gas adsorption isotherm model by considering by water content can...

... productivity of shale reservoirs before drilling. complex reservoir artificial intelligence deep learning shale gas upstream oil & gas production prediction shale reservoir deep neural network machine learning neural network predictive performance variable importance analysis sensitivity...

... huff-and-puff has been widely applied to unlock the shale reservoirs. But on account of the high adsorption selectivity of CO 2 , after the injection of CO 2 , the original vapor-liquid equilibria of hydrocarbons is changed. The purpose of this study is to predict the phase behavior and diffusion...

... significantly by H&P gas injection. The possibility of desorption and gas diffusion is investigated. The approach implemented in this H&P history match of an Eagle Ford pilot well should prove of value for simulating complex shale reservoirs. enhanced recovery Artificial Intelligence Modeling...

... by combining Gamma Log, Density Log, Neutron Log, NMR Log, and Cross-plot. An easier way to estimate porosity is provided. We combine the matrix density and kerogen density together and obtain them from core analysis. Poupon's et al. (1954) laminar model has some limitations when applying in shale reservoirs...

... Abstract Carbon dioxide (CO 2 ) injection has recently been applied as an enhanced oil recovery (EOR) method to increase oil recovery from unconventional shale reservoirs. Many interactions will impact the success or failure of this EOR method. This research experimentally investigates...

... Abstract Shale reservoirs are estimated to account for approximately 10-30% of oil and gas worldwide, yet operators rarely produce more than 10% of the original hydrocarbons in place from them. These poor production numbers are a result of the assumption that the same pressure-volume...

... to upscale the pore-scale fluid thermodynamic properties to the reservoir-scale and then incorporate it into our in-house compositional simulator to examine the effect of confinement on shale reservoir production. Firstly, a pore-scale fluid phase behavior model is developed in terms of the pore type...

... COMSOL. Modeling & Simulation Upstream Oil & Gas concentration fracture network Artificial Intelligence complex reservoir shale reservoir boundary condition shale gas element method concentration profile hydraulic fracturing node gas transport boundary element boundary...

..., increasing the height of water column in the saline side until it reaches an equilibrium state. The differential pressure across the U-tube is called osmotic pressure and denoted by π. Laboratory Indications of Osmosis in Shales. Osmosis in Shale Reservoirs. Abstract We present an assessment...

... Characterization shale gas well logging oil shale organic matter flow capacity Example Well partial index moveable oil reservoir vitrinite reflectance geochemical productivity index free water porosity piedrahita shale reservoir porosity oil saturation index shale oil reservoir Introduction...

... for enhanced oil recovery (EOR) of shale reservoirs is proposed. Many oil companies are performing field pilots to seek the feasibility of gas injection in shale oil-rich reservoirs ( Rassenfoss, 2017 ). Huff-n-puff injection is more effective than gas flooding because of shale's low permeability...

... Abstract Production from liquids-rich shale reservoirs in the United States and Canada has increased significantly during the past few years. However, a rigorous understanding of shale rocks and fluid flow through them is still limited and remains a challenge. Thus, the objective...

... Abstract Different from the conventional reservoirs, the liquid-rich shale reservoirs are known to possess a broad pore size distribution. In macropores and fractures, the porous geometries are in the size of micrometers. However, in organic matter, a significant amount of porosity consists...

... Abstract Pore diameters for shale reservoirs are on the order of few nanometers which become even smaller during production because of rock deformation. This dynamic interaction between pore fluid pressure and rock stress affects the phase behavior in unconventional reservoirs. In this paper...

... Abstract The objective of this work is to evaluate the efficacy of empirical models in forecasting oil production in shale reservoirs, bycomparing and analyzing their fit and effectiveness to our dataset. The following three modelswere considered: A Conventional Decline Curve Analysis (CDC...

... is illustrated for two extreme cases, one involving rigid porous matrix and the other involving a fully elastic porous matrix. Threshold-pressure gradient Consider the quadrant of a hydraulically fractured gas shale reservoir described in Figure 3 . Assuming a rigid porous matrix, p b = p and p...