Multiscale Digital Rock Analysis for Complex Rocks

2021 ◽  
Vol 139 (2) ◽  
pp. 301-325 ◽  
Author(s):  
L. C. Ruspini ◽  
P. E. Øren ◽  
S. Berg ◽  
S. Masalmeh ◽  
T. Bultreys ◽  
...  
Keyword(s):  
2015 ◽  
Author(s):  
Dandan Hu ◽  
Douglas Wyatt ◽  
Cheng Chen ◽  
Vladimir Martysevich

2021 ◽  
Author(s):  
Oleg Dinariev ◽  
Nikolay Evseev

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.


2016 ◽  
Author(s):  
P. Mukherjee ◽  
D. SinghaRay ◽  
A. Golab ◽  
J. Al-Kandari ◽  
R. B. Quttainah ◽  
...  

2021 ◽  
Author(s):  
Alexander Avdonin ◽  
Mohammad Ebadi ◽  
Vladislav Krutko

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.


2019 ◽  
Author(s):  
Qian Sun ◽  
Na Zhang ◽  
Nayef Alyafei ◽  
Yuhe Wang ◽  
Mohamed Fadlelmula

Sign in / Sign up

Export Citation Format

Share Document