30 research outputs found
Simulation of pore-scale flow using finite element-methods
I present a new finite element (FE) simulation method to simulate pore-scale
flow. Within the pore-space, I solve a simplified form of the incompressible
Navier-Stokeโs equation, yielding the velocity field in a two-step solution
approach. First, Poissonโs equation is solved with homogeneous boundary
conditions, and then the pore pressure is computed and the velocity field
obtained for no slip conditions at the grain boundaries. From the computed
velocity field I estimate the effective permeability of porous media samples
characterized by thin section micrographs, micro-CT scans and synthetically
generated grain packings. This two-step process is much simpler than solving
the full Navier Stokes equation and therefore provides the opportunity to
study pore geometries with hundreds of thousands of pores in a computationally
more cost effective manner than solving the full Navier-Stokeโs equation.
My numerical model is verified with an analytical solution and validated on
samples whose permeabilities and porosities had been measured in laboratory
experiments (Akanji and Matthai, 2010). Comparisons were also made with
Stokes solver, published experimental, approximate and exact permeability
data. Starting with a numerically constructed synthetic grain packings, I also
investigated the extent to which the details of pore micro-structure affect the
hydraulic permeability (Garcia et al., 2009). I then estimate the hydraulic
anisotropy of unconsolidated granular packings.
With the future aim to simulate multiphase flow within the pore-space, I also compute the radii and derive capillary pressure from the Young-Laplace
equation (Akanji and Matthai,2010
Pore-scale analyses of heterogeneity and representative elementary volume for unconventional shale rocks using statistical tools
We express our appreciations to the Petroleum Technology Development Fund, Nigeria (PTDF), for funding this work.Peer reviewedPublisher PD
A pressure-projection pre-conditioning multi-fractional-step method for Navier-Stokes Flow in Porous Media
Open Access via the Elsevier AgreementPeer reviewe
Data Analysis and Neuro-Fuzzy Technique for EOR Screening : Application in Angolan Oilfields
This study is sponsored by the Angolan National Oil Company (Sonangol EP) and the authors are grateful for their support and the permission to use the data and publish this manuscriptPeer reviewedPublisher PD
A Neuro-Fuzzy Approach to Screening Reservoir Candidates for EOR
The authors are grateful to Prof. Elmira Ramazanova of the Scientific Research Institute Baku, Azerbaijan, for facilitating the forum for the discussion of this project. The authors also thank the editor of Oil and Gas Journal for the permission to use the worldwide EOR data.Peer reviewedPublisher PD
Closed-Form Solution of Radial Transport of Tracers in Porous Media Influenced by Linear Drift
The authors thank Olakunle Popoola and Ofomana Emmanuel for useful discussions of this topic.Peer reviewedPublisher PD
A quantitative analysis of flow properties and heterogeneity in shale rocks using Computed Tomography imaging and finite-element based simulation
Acknowledgement The authors wish to acknowledge and appreciate the support received from Petroleum Technology Development Fund (PTDF), Nigeria on this project.Peer reviewedPostprin
Impact of surface choking on gas-lift stability and flow behaviour in oil producing wells
Acknowledgements The authors wish to thank the financial support provided by the University of Aberdeen scholarship awarding section for sponsoring this project.Peer reviewe
A finite-element algorithm for Stokes flow through oil and gas production tubing of uniform diameter
Peer reviewedPublisher PD
Application of artificial intelligence for technical screening of enhanced oil recovery methods
Acknowledgment This study is sponsored by the Angolan National Oil Company (Sonangol EP) and the authors are grateful for their support and the permission to use data and publish this manuscript.Peer reviewedPublisher PD