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Title: Numerical characterisation of fluid flow in unconventional shale rocks
Author: Adeleye, James Olugbade
ISNI:       0000 0004 7432 0103
Awarding Body: University of Aberdeen
Current Institution: University of Aberdeen
Date of Award: 2018
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Recent advancements in computational power and pore-scale modelling have improved the estimation of petrophysical properties and flow characterisation in shale rock. However, the acquisition of representative elementary volume (REV) data in shale remains a challenge due to difficulties in image resolution balancing with physical extent volume and other features of interest. Besides, Stokes equation is mostly applied to describe fluid flow behaviour in shale which leads to inaccurate flow charaterisation. In this thesis, a robust and flexible numerical workflow is developed for the characterisation and quantification of the degree of heterogeneity and fluid flow behaviour in unconventional shale rocks. The workflow encompasses four main stages: (a) data extraction (micro-/nano-CT); (b) mesh generation/allocation methodology; (c) static calculation, and; (d) flow dynamics calculations. Moreover, fully solved Navier Stokes Equations (NSE) were used to numerically simulate flow processes through micro pores and cracks. Computed coefficient of variation of heterogeneity varies between 0.3 and 99.8. Hence, heterogeneity exists at pore scale and therefore should not be neglected in numerical simulation. Results from flow simulations through channels sinusoidal fractures agree with analytical and published data. Results also show that the advection term in NSE influences flow field within fractures and the complex pore network as it captures the magnitude of velocity field variation within the pore system. Further, a new model developed through SE and NSE was used to derive a pore-scale model capable of modelling adsorption processes associated with flow in shale rocks. This mathematical formulation is intended to serve as a basis for future work on the description of adsorption processes.
Supervisor: Akanji, Lateef ; Yingfang, Zhoo Sponsor: Petroleum Technology Development Fund (Nigeria) ; Quin Oil and Gas Reservoir
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Fluid dynamics ; Shale