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Projects: Projects for Investigator
Reference Number EP/R009678/1
Title Multiscale modelling of miscible interfaces: Application on surfactant-enhanced aquifer remediation
Status Completed
Energy Categories Not Energy Related 90%;
Fossil Fuels: Oil Gas and Coal(CO2 Capture and Storage, CO2 storage) 5%;
Fossil Fuels: Oil Gas and Coal(Oil and Gas, Enhanced oil and gas production) 5%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Physics) 25%;
PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 25%;
ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 25%;
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 25%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Dr M Babaei
No email address given
Chemical Engineering and Analytical Science
University of Manchester
Award Type Standard
Funding Source EPSRC
Start Date 01 January 2018
End Date 31 July 2019
Duration 19 months
Total Grant Value £100,961
Industrial Sectors No relevance to Underpinning Sectors
Region North West
Programme NC : Engineering
 
Investigators Principal Investigator Dr M Babaei , Chemical Engineering and Analytical Science, University of Manchester (100.000%)
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Objectives
Abstract In situ chemically enhanced solubilisation through the application of surfactants in injection solutions is a promising method to recover these contaminants. The process, nonetheless, involves dynamic evolution of phase boundaries, and multiple driving forces interacting with each other including capillary and viscous forces. On one hand, quantifying the contribution of the main mechanisms of NAPL recovery (mobilisation of NAPL ganglia through reduced interfacial tension and enhanced solubilisation), requires integration of fundamental physics of interfaces with continuum scale predictive tools. On the hand, the textural heterogeneities that span across multiple length scales of the porous medium complicates predicting the migration paths of the contaminant species, impacts the displacement mechanisms and adds uncertainty to the success of remediation operation in terms of recovery efficiency. Despite accumulated interest in modelling of the processes that involve dynamically evolving interfaces and underpinned science of miscible displacement through recent advances in Computational Fluid Dynamics (CFD), microfluidic studies, micromodel experiments and thermodynamics of interfaces, the impact of multiscale heterogeneity on the mechanisms of NAPL recovery has not been systematically quantified. Our overall aim is therefore to address incorporation of micro- and macro-heterogeneities of the porous system, by devising a novel multiscale computational apparatus that integrates dynamics of miscible displacement in the context of surfactant-enhanced aquifer remediation.In WP1 we numerically undertake a dimensionless analysis of interacting driving forces in Darcy scale. In particular we will utilise dimensionless numbers including Damk hler number (to represent mass transfer to advection ratio), P clet number, viscosity ratio, and geostatistical parameters of the absolute permeability distribution such as spatial correlation lengths. We construct a flow-regime diagr and delineate extent of interacting viscous and chemical dissolution fronts instigated by, respectively, viscosity difference between fluids and permeability-feedback mechanism. We demonstrate the interplay of permeability heterogeneities (in various forms such as channelised fluvial systems, long spatially correlated distributions, Gaussian permeability realisations, etc.) on the interaction of viscous and chemical dissolution fingering, and overall NAPL recovery.In WP2 we seek innovative pore network modelling to underpin the physical processes (ganglia snap-off and mobilisation vs. interphase diffusion and mass transfer) that crucially shape the displacement mechanisms at microscale. We use a CFD theoretical model of interface evolution and rigorous transport model of viscous and chemical displacement. We upscale the results of flow and transport solutions from pore-scale to obtain Representative-Elementary-Volume-averaged multiphase flow and transport macroscopic properties. Through novel pore network generation techniques, we delineate the effect of pore-level statistics, morphology and structure on upscaled properties, and reduce the reliance over from commonly used empirical correlations.In WP3 we integrate the two-scales of modelling through a novel spatio-temporal adaptive computational apparatus that will provide unique insights into underlying physical phenomena that determine the efficiency of surfactant-enhanced aquifer remediation processes. Beyond the specific application of the novel multiscale tool for aquifer remediation, the computational apparatus will serve the purpose of various disciplines of engineering, such as waste treatment, geological carbon sequestration, enhanced oil recovery, drug delivery, etc. where interphase mass transfer across dynamic interfaces is a ubiquitous feature.
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Added to Database 29/01/19