Correlating Recovery Efficiency to Pore Throat Characteristics using Digital Rock Analysis

2015 ◽  
Author(s):  
Dandan Hu ◽  
Douglas Wyatt ◽  
Cheng Chen ◽  
Vladimir Martysevich
Keyword(s):  
Recovery Efficiency ◽  
Pore Throat ◽  
Digital Rock ◽  
Rock Analysis

scholarly journals Modeling of 3D Rock Porous Media by Combining X-Ray CT and Markov Chain Monte Carlo

2019 ◽  
Vol 142 (1) ◽  
Author(s):  
Wei Lin ◽  
Xizhe Li ◽  
Zhengming Yang ◽  
Shengchun Xiong ◽  
Yutian Luo ◽  
...  
Keyword(s):  
Porous Media ◽  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Heterogeneous Porous Media ◽  
Pore Throat ◽  
Tight Sandstone ◽  
Sandstone Sample ◽  
Digital Rock ◽  
Multi Scale

Abstract Rocks contain multi-scale pore structures, with dimensions ranging from nano- to sample-scale, the inherent tradeoff between imaging resolution and sample size limits the simultaneous characterization of macro-pores and micro-pores using single-resolution imaging. Here, we developed a new hybrid digital rock modeling approach to cope with this open challenge. We first used micron-CT to construct the 3D macro-pore digital rock of tight sandstone, then performed high-resolution SEM on the three orthogonal surfaces of sandstone sample, thus reconstructed the 3D micro-pore digital rock by Markov chain Monte Carlo (MCMC) method; finally, we superimposed the macro-pore and micro-pore digital rocks to achieve the integrated digital rock. Maximal ball algorithm was used to extract pore-network parameters of digital rocks, and numerical simulations were completed with Lattice-Boltzmann method (LBM). The results indicate that the integrated digital rock has anisotropy and good connectivity comparable with the real rock, and porosity, pore-throat parameters and intrinsic permeability from simulations agree well with the values acquired from experiments. In addition, the proposed approach improves the accuracy and scale of digital rock modeling and can deal with heterogeneous porous media with multi-scale pore-throat system.

Application of Digital Rock Analysis for Evaluation of Gas-Condensate Transport

2021 ◽  
Author(s):  
Oleg Dinariev ◽  
Nikolay Evseev
Keyword(s):  
Density Functional ◽  
Development Planning ◽  
Gas Condensate ◽  
Computational Method ◽  
Kinetic Properties ◽  
Pore Scale ◽  
Digital Rock ◽  
Compositional Model ◽  
Rock Analysis ◽  
Phase Mobility

Abstract The computational method for gas-condensate phase permeabilities is presented using digital rock analysis. The proposed method combines: a) construction of high-resolution tomographic images of the pore space; b) development of compositional model of a gas-condensate mixture at pore-scale including rheology, fluid-fluid and fluid-rock interfacial tension coefficients, and thermodynamic and kinetic properties of fluid phases; c) 3D pore-scale modeling of multiphase transport and interfacial chemical component exchange using the density functional hydrodynamics numerical simulator. This digital rock analysis workflow is applied to the gas-condensate transport at pore-scale. The numerical simulations are carried out using the 3D digital rock model constructed by X-ray microCT imaging of the rock pore structure. By specifying different gas and condensate fractions and injection rates it has been possible to obtain computationally 3D saturation distribution fields and the phase permeabilities. The results of 3D density functional hydrodynamic simulations provide the comprehensive description of gas-condensate mixture at pore-scale including hydrodynamic desaturation effects and phase transition kinetic phenomena. It is demonstrated that condensate distribution in pores, phase mobility thresholds and phase permeabilities are dependent on wettability properties and flow rates. It is shown that condensate composition in individual pores is also dynamically dependent on flow regimes. These results can be used in field development planning for the improved evaluation of condensate banking in the vicinity of production wells and condensate losses in the reservoir.

Digital Rock Analysis - Providing SCAL Properties for the Matrix of Tight Carbonates of the Najmah-Sargelu Formation, Kuwait

2016 ◽  
Author(s):  
P. Mukherjee ◽  
D. SinghaRay ◽  
A. Golab ◽  
J. Al-Kandari ◽  
R. B. Quttainah ◽  
...  
Keyword(s):  
Digital Rock ◽  
The Matrix ◽  
Rock Analysis

Application of High-Contrast µCT and FIB-SEM for the Improvement in the Permeability Prediction of Tight Rock Samples

2021 ◽  
Author(s):  
Alexander Avdonin ◽  
Mohammad Ebadi ◽  
Vladislav Krutko
Keyword(s):  
Focused Ion Beam ◽  
Pore Space ◽  
Ion Beam ◽  
High Contrast ◽  
Rock Samples ◽  
Digital Rock ◽  
Permeability Prediction ◽  
Permeable Rock ◽  
Rock Analysis

Abstract Digital rock analysis has proven to be useful for the prediction of petrophysical properties of conventional reservoirs, where the pore space is captured well by a modern µCT scanner with a resolution of 1-5 µm. Nevertheless, this resolution is not enough to accurately capture the pore space of tight (low-permeable) rock samples. As a result, derived digital rock models do not reflect the real rock topology, and permeability predictions yield unreliable results. Our approach deploys high-contrast µCT scanning technique and Focused Ion Beam milling combined with Scanning Electron Microscopy to improve the quality of digital rock models and, hence, the permeability prediction. This workflow is successfully applied to a low-permeable rock sample of Achimov deposits. The computed permeability compares well to the experimental value.

Numerical Relative Permeability Upscaling Based on Digital Rock Analysis

2019 ◽  
Author(s):  
Qian Sun ◽  
Na Zhang ◽  
Nayef Alyafei ◽  
Yuhe Wang ◽  
Mohamed Fadlelmula
Keyword(s):  
Relative Permeability ◽  
Digital Rock ◽  
Permeability Upscaling ◽  
Rock Analysis
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