نتایج جستجو برای: berea sandstone
تعداد نتایج: 4903 فیلتر نتایج به سال:
We use a three-dimensional mixed-wet random network model representing Berea sandstone to compute displacement paths and relative permeabilities for water alternating gas (WAG) flooding. First we reproduce cycles of water and gas injection observed in previously published experimental studies. We predict the measured oil, water and gas relative permeabilities accurately. We discuss the hysteres...
In this study, we introduce CobWeb 1.0 which is a graphical user interface tailored explicitly for accurate image segmentation and representative elementary volume analysis of digital rock images derived from high resolution tomography. The CobWeb code is a work package deployed as a series of windows executable binaries which use image processing and machine learning libraries of MATLAB. The u...
3-D digital rock image have recently become an important piece of information about the hydrocarbon reservoir properties. The goal of this project is to explore and employ machine learning as a tool to better understand the 3-D digital rocks from geometric measurement and features extracted from the image. Introduction This project applies machine learning to 3-D binary segmented images of the ...
We present a three-dimensional network model to simulate two- and three-phase capillary dominated processes at the pore level. The displacement mechanisms incorporated in the model are based on the physics of multiphase flow observed in micromodel experiments. All the important features of immiscible fluid flow at the pore scale, such as wetting layers, spreading layers of the intermediate-wet ...
Various capillary pressure approaches such as the Purcell, Burdine, Corey, and Brooks-Corey methods were used to calculate steam-water relative permeabilities using the measured data of steamwater capillary pressure in both drainage and imbibition processes. The calculated results were compared to the experimental data of steam-water relative permeability measured in Berea sandstone. The steam-...
a r t i c l e i n f o a b s t r a c t We provide a description and computational investigation of an efficient method to stochastically generate realistic pore structures. Smolarkiewicz and Winter introduced this specific method in pores resolving simulation of Darcy flows (Smolarkiewicz and Winter, 2010 [1]) without giving a complete formal description or analysis of the method, or indicating ...
Wave-induced fluid pressure diffusion (FPD) represents an important mechanism of seismic energy dissipation in fractured media. The associated effects on wave propagation are typically studied considering idealized fracture geometries. Here, we study fracture-geometry-related FPD by numerically computing the frequency-dependent and angle-dependent velocity attenuation models having fractures re...
Network modeling is used to study the flow in porous media of Ellis and Herschel–Bulkley fluids, which model a large group of time-independent non-Newtonian fluids. Previous work is extended to include yield-stress and shear-thickening phenomena. We use two topologically-disordered networks representing a sand pack and Berea sandstone. Analytical expressions for the volumetric flow rate in a si...
To evaluate the variability of multiphase flow properties of porous media at the pore scale, it is necessary to acquire a number of representative samples of the void-solid structure. While modern x-ray computer tomography has made it possible to extract three-dimensional images of the pore space, assessment of the variability in the inherent material properties is often experimentally not feas...
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