... of two heterogeneous carbonate core samples. The permeability of each sub-image is simulated using pore network modeling (PNM) method. Ten features including porosity, pore size, surface area, specific surface area and connection coefficient etc. are extracted from sub-image by a statistical method...

... regression complex reservoir log analysis well logging machine learning reservoir characterization saturation coefficient prediction algorithm application gradient Introduction and Background Reservoir characterization is a process through which a static model of the reservoir is created...

... government machine learning linear regression empirical correlation journal coefficient composition bubble point pressure proceedings neural network petroleum technology crude oil deviation reservoir interactive multivariate linear regression INTRODUCTION Standing (1947) was the first...

... through fit-for-purpose modeling and simulation is a crucial step for optimizing their development. united states government fracture fracture aperture upstream oil & gas modeling & simulation coefficient permeability asia government aperture acid compressibility permeability...

... Virtual Meter algorithms, thus reducing the uncertainties in the numerical flow rate estimation. upstream oil & gas production logging real time system algorithm production control wellbore coefficient accuracy choke asia government reservoir surveillance estimation contribution...

..., the following criteria of non-equilibrium state are used: Method 1. When under varying system parameters (pressure and mixture composition) at least one phase is stable, then a process is non-equilibrium, and ω i coefficients should be calculated. In this case, a mass transfer between phases occurs...

... chemical injection coefficient EOR application gas stream liquid phase simulation result chemical concentration chemical droplet injection chemical solution equation Introduction The advantages of injecting dispersed chemicals in the gas injection wells have been observed in pilot studies...

... geology heterogeneity dynamic modeling approach realization fast-track project neptune field calculation interpretation exploration society of petroleum engineers Artificial Intelligence Upstream Oil & Gas ayashsky license area oil field saturation coefficient stoiip distribution...

... History convergence machine learning optimization problem objective function amplitude society of petroleum engineers coefficient history matching multiplier uncertainty quantification permeability model discrete cosine transformation permeability Introduction The most common problem...

... saturation coefficient nonisothermal two-phase flow reservoir simulation two-phase flow nanoparticle concentration concentration saturation equation saturation entrapped nanoparticle concentration modeling time-splitting technique capillary pressure permeability university application...

... collected from 10 wells which were located in a giant carbonate reservoir. Based on minimum average absolute percentage error (AAPE) and highest coefficient of determination (R 2 ) between actual and predicted data, ANN model proposed as the best model to predict UCS. A rigorous empirical correlation...

... change and numerical method used are analyzed and presented. hydraulic fracturing displacement porosity flow in porous media compressibility Simulation Reservoir Characterization reservoir geomechanics Upstream Oil & Gas Biot coefficient mass balance equation fracture surface...

... oilfield, Figure 1 is the top structure of Fah reservoir. The mid-depth of the reservoir is 4250m, with the abnormal high pressure of 9500psi, the pressure coefficient is up to 1.5. The storage space is dominated by the secondary porosity and the vugs, and there are few fractures in the reservoir...

... interactions and the phase thermodynamic non-ideality. Knudsen diffusion can also be incorporated through the concept of an augmented effective diffusion coefficient. Several preliminary tests have been conducted to validate the model. The influences of the important parameters, such as total carbon content...

... equation does not offer an easy and systematic approach for estimating the flow, given that the β parameter, a non-Darcy flow coefficient, also known as the Forchheimer coefficient, is specific to different reservoir characteristics and must be determined accurately through experiments. It is, therefore...

... and carbonate rocks with the highest coefficient of correlation in multiple regression analysis and based on the relationship between porosity, permeability and pore throat size. machine learning Artificial Intelligence Fluid Dynamics porosity Permeability prediction Pittman flow in porous media...

... a parameter to describe the crossflow in a two-layer reservoir quantitatively. It is verified that the crossflow coefficient is not constant, but a function of the time and distance away from the wellbore. These solutions are obtained by using Laplace transform, double Fourier transform and Green's functions...

... model of subsurface flow. optimization problem anisotropic porous media flow in porous media Fluid Dynamics boundary condition Reservoir Characterization reservoir simulation tensor boundary coefficient porous media matrix pressure field anisotropy Artificial Intelligence Upstream...

... Intelligence history matching Modeling & Simulation Upstream Oil & Gas Fluid Dynamics water saturation coefficient response parameter society of petroleum engineers simulation model transition zone old model spe 166004 natural language information dynamic model fast-track approach...

..., can be trapped within the porous media because of their size (plugging) or can be entrained and returned to the oil phase because of high, local velocity (shear). The deposition can be modeled by a set of three control parameters, the adsorption or static deposition coefficient, the plugging...