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  • Journal article
    Alkhatib A, King P, 2013,

    Uncertainty quantification of a chemically enhanced oil recovery process: Applying the probabilistic collocation method to a surfactant-polymer flood

    , SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings, Vol: 2, Pages: 757-772

    Uncertainty in surfactant-polymer flooding is an important challenge to the wide scale implementation of this process. Any successful design of this enhanced oil recovery process will necessitate a good understanding of uncertainty. Thus it is essential to have the ability to quantify this uncertainty in an efficient manner. Monte Carlo Simulation is the traditional uncertainty quantification approach that is used for quantifying parametric uncertainty. However, the convergence of Monte Carlo simulation is relatively low requiring a large number of realizations to converge. This study proposes the use of the probabilistic collocation method in parametric uncertainty quantification for surfactant-polymer flooding using four synthetic reservoir models. Four sources of uncertainty were considered: the chemical flood residual oil saturation, surfactant and polymer adsorption and the polymer viscosity multiplier. The output parameter approximated is the recovery factor. The output metrics were the probability density function and the first two moments. These were compared with the results obtained from Monte Carlo simulation over a large number of realizations. Two methods for solving for the coefficients of the output parameter polynomial chaos expansion are compared: Gaussian quadrature and linear regression. The linear regression approach used two types of sampling: Gaussian quadrature nodes and Chebyshev derived nodes. In general, the probabilistic collocation method was applied successfully to quantify the uncertainty in the recovery factor. Applying the method using Gaussian quadrature produced more accurate results compared with using linear regression with quadrature nodes. Applying the method using linear regression with Chebyshev derived sampling also performed relatively well. Possible enhancements to improve the performance of the probabilistic collocation method were discussed. These enhancements include: improved sparse sampling, approximation order indepen

  • Journal article
    David EC, Fortin J, Schubnel A, Gueguen Y, Zimmerman RWet al., 2013,

    Laboratory measurements of low- and high-frequency elastic moduli in Fontainebleau sandstone

    , GEOPHYSICS, Vol: 78, Pages: D367-D377, ISSN: 0016-8033
  • Journal article
    Goater AL, Bijeljic B, Blunt MJ, 2013,

    Dipping open aquifers-The effect of top-surface topography and heterogeneity on CO2 storage efficiency

    , INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, Vol: 17, Pages: 318-331, ISSN: 1750-5836
  • Journal article
    Andrew M, Bijeljic B, Blunt MJ, 2013,

    Pore-scale imaging of geological carbon dioxide storage under in situ conditions

    , GEOPHYSICAL RESEARCH LETTERS, Vol: 40, Pages: 3915-3918, ISSN: 0094-8276
  • Journal article
    Tang XH, Paluszny A, Zimmerman RW, 2013,

    Energy conservative property of impulse-based methods for collision resolution

    , INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, Vol: 95, Pages: 529-540, ISSN: 0029-5981
  • Conference paper
    Alkhatib A, Babaei M, King PR, 2013,

    Decision Making Under Uncertainty: Applying the Least-Squares Monte Carlo Method in Surfactant-Flooding Implementation

    , EAGE Annual Conference and Exhibition incorporating SPE EUROPEC, Publisher: SOC PETROLEUM ENG, Pages: 721-735, ISSN: 1086-055X
  • Journal article
    Paluszny A, Zimmerman RW, 2013,

    Numerical fracture growth modeling using smooth surface geometric deformation

    , ENGINEERING FRACTURE MECHANICS, Vol: 108, Pages: 19-36, ISSN: 0013-7944
  • Journal article
    Legler B, Johnson HD, Hampson GJ, Massart BYG, Jackson CA-L, Jackson MD, El-Barkooky A, Ravnas Ret al., 2013,

    Facies model of a fine-grained, tide-dominated delta: Lower Dir Abu Lifa Member (Eocene), Western Desert, Egypt

    , Sedimentology, Vol: 60, Pages: 1313-1356, ISSN: 0037-0746
  • Journal article
    Tanino Y, Blunt MJ, 2013,

    Laboratory investigation of capillary trapping under mixed-wet conditions

    , WATER RESOURCES RESEARCH, Vol: 49, Pages: 4311-4319, ISSN: 0043-1397
  • Conference paper
    Lei Q, Latham J-P, Xiang J, Guo Let al., 2013,

    A geomechanical comparison between a naturally fractured rockmass and its DFN equivalent based on FEMDEM simulation

    , 3rd ISRM SINOROCK Symposium, Pages: 397-402
  • Journal article
    Hellmann R, Riesco N, Vesovic V, 2013,

    Calculation of the relaxation properties of a dilute gas consisting of Lennard-Jones chains

    , CHEMICAL PHYSICS LETTERS, Vol: 574, Pages: 37-41, ISSN: 0009-2614
  • Journal article
    Babaei M, King PR, 2013,

    An Upscaling-Static-Downscaling Scheme for Simulation of Enhanced Oil Recovery Processes

    , TRANSPORT IN POROUS MEDIA, Vol: 98, Pages: 465-484, ISSN: 0169-3913
  • Journal article
    Assael MJ, Bogdanou I, Mylona SK, Huber ML, Perkins RA, Vesovic Vet al., 2013,

    Reference Correlation of the Thermal Conductivity of n-Heptane from the Triple Point to 600 K and up to 250 MPa

    , JOURNAL OF PHYSICAL AND CHEMICAL REFERENCE DATA, Vol: 42, ISSN: 0047-2689
  • Journal article
    Babaei M, Elsheikh AH, King PR, 2013,

    A Comparison Study Between an Adaptive Quadtree Grid and Uniform Grid Upscaling for Reservoir Simulation

    , TRANSPORT IN POROUS MEDIA, Vol: 98, Pages: 377-400, ISSN: 0169-3913
  • Journal article
    Bijeljic B, Mostaghimi P, Blunt MJ, 2013,

    Insights into non-Fickian solute transport in carbonates

    , Water Resources Research, Vol: 49, Pages: 2714-2728, ISSN: 0043-1397

    [1] We study and explain the origin of early breakthrough and long tailing plume behavior by simulating solute transport through 3‐D X‐ray images of six different carbonate rock samples, representing geological media with a high degree of pore‐scale complexity. A Stokes solver is employed to compute the flow field, and the particles are then transported along streamlines to represent advection, while the random walk method is used to model diffusion. We compute the propagators (concentration versus displacement) for a range of Peclet numbers (Pe ) and relate it to the velocity distribution obtained directly on the images. There is a very wide distribution of velocity that quantifies the impact of pore structure on transport. In samples with a relatively narrow spread of velocities, transport is characterized by a small immobile concentration peak, representing essentially stagnant portions of the pore space, and a dominant secondary peak of mobile solute moving at approximately the average flow speed. On the other hand, in carbonates with a wider velocity distribution, there is a significant immobile peak concentration and an elongated tail of moving fluid. An increase in Pe , decreasing the relative impact of diffusion, leads to the faster formation of secondary mobile peak(s). This behavior indicates highly anomalous transport. The implications for modeling field‐scale transport are discussed.

  • Journal article
    Pentland CH, Al-Mansoori S, Iglauer S, Bijeljic B, Blunt MJet al., 2010,

    Measurement of non-wetting phase trapping in sand packs

    , SPE 115697
  • Journal article
    Rhodes M E, Bijeljic B and Blunt M J, 2009,

    A Rigorous Pore-to-Field-Scale Methodology for Single-Phase Flow Based on Continuous Time Random Walks

  • Conference paper
    Bijeljic B, Blunt M J, 2006,

    A Physically-based Description of Dispersion in Porous Media

    , Annual Technical Conference of the Society of Petroleum Engineers
  • Journal article
    Sadeghnejad S, Masihi M, Pishvaie M, King PRet al., 2013,

    Rock Type Connectivity Estimation Using Percolation Theory

    , MATHEMATICAL GEOSCIENCES, Vol: 45, Pages: 321-340, ISSN: 1874-8961
  • Journal article
    Latham J-P, Anastasaki E, Xiang J, 2013,

    New modelling and analysis methods for concrete armour unit systems using FEMDEM

    , Coastal Engineering, Vol: 77, Pages: 151-166

    Rubble mound breakwaters armoured with concrete units rely on collective behaviour between adjacent concrete armour units but existing largely empirical approaches have been unable to provide a detailed understanding of how these gigantic granular systems work. The problem has been that current methods cannot investigate the interdependence of hydraulic and structural stability at the scale of individual units. Numerical methods have the potential to provide such answers but there are many challenges to overcome. We present a solution to the first major bottleneck concerning the solids modelling: the numerical creation of a breakwater trunk section of single layer concrete units with geometrical and mechanical properties that conform to realistic prototype structure placements. Positioning of units is achieved with a new versatile software tool, POSITIT, which incorporates user-defined deposition variables and the initial positioning grid necessary to achieve the required design packing densities. The code Y3D, based on the combined finite-discrete element method, FEMDEM, solves the multi-body mechanics of the problem. First, we show numerically constructed breakwater sections with armour layers of 8 m3 CORE-LOC™ units placed on rock underlayers. The numerically-generated packs are deemed acceptable when examined according to a range of criteria indicative of acceptably placed armour layers, as set by concrete unit designers. Breakwater sections with packing densities ranging from 0.59 to 0.63 are then created. Using a set of analysis tools, local variation in packing density as an indicator of heterogeneity, centroid spacing, unit contacts and orientation of unit axes are presented, together with mechanical information showing the variation in contact forces. For these five packs examined, an increasingly tighter pack was associated with a steady increase in coordination number and a more steeply and accelerating increase in average maximum contact force per

  • Journal article
    Iglauer S, Muggeridge A, 2013,

    The Impact of Tides on the Capillary Transition Zone

    , TRANSPORT IN POROUS MEDIA, Vol: 97, Pages: 87-103, ISSN: 0169-3913
  • Journal article
    Hellmann R, Riesco N, Vesovic V, 2013,

    Calculation of the transport properties of a dilute gas consisting of Lennard-Jones chains

    , JOURNAL OF CHEMICAL PHYSICS, Vol: 138, ISSN: 0021-9606
  • Journal article
    El-Maghraby RM, Blunt MJ, 2013,

    Residual CO2 Trapping in Indiana Limestone

    , Environmental Science & Technology, Vol: 47, Pages: 227-233, ISSN: 0013-936X
  • Journal article
    Ghosh B, King P, 2013,

    Optimisation of smart well completion design in the presence of uncertainty

    , Society of Petroleum Engineers - SPE Reservoir Characterisation and Simulation Conference and Exhibition, RCSC 2013: New Approaches in Characterisation andModelling of Complex Reservoirs, Vol: 2, Pages: 724-740

    Intelligent/smart completions are widely used to maximize the value of production wells through higher ultimate hydrocarbon recoveries, to promote better clean-up of unconventional wells during 'flow-back' and to improve sweep efficiency in case of injector wells. To maximize the economic value of these applications, especially in the presence of uncertainties (geological, reservoir and long term tool reliability) and minimize the economic risk it's vital to optimise the placement and operational settings of the Interval Control Devices (ICDs)/AICDs (Autonomous Inflow Control Devices)/Interval Control Valves (ICVs). The requirement for optimisation could also arise from the limitation imposed by present technology on the maximum number of valves deployable in a single completion string. In this paper an optimisation routine for determining the optimal placement of Interval Control Valves (ICVs), and their inflow settings is presented. The overall optimisation scheme uses the simulated annealing algorithm in conjunction with a commercial reservoir simulator to maximize an objective function that captures the mean and variance in the well's estimated value. Multiple geostatistical realizations are used to incorporate the element of geological/reservoir uncertainty in the optimisation process. The workflow also accounts for the risk of flow control valve failure. A brief description of the screening methodology (to choose the appropriate inflow control technology) and a decision analysis framework for deploying intelligent completion technology, based on utility theory, is also presented herein. The optimisation technique was applied to cooptimise the positions and flow cross-section areas of the ICVs in a horizontal well, completed in an oil reservoir using a composite objective function. Geologic/reservoir and valve-life uncertainties were incorporated in the routine. The improvement in the well's Net Present Value (which is between 55-70% for the cases investigated)

  • Journal article
    Mostaghimi P, Blunt MJ, Bijeljic B, 2013,

    Computations of Absolute Permeability on Micro-CT Images

    , MATHEMATICAL GEOSCIENCES, Vol: 45, Pages: 103-125, ISSN: 1874-8961
  • Journal article
    Blunt MJ, Bijeljic B, Dong H, Gharbi O, Iglauer S, Mostaghimi P, Paluszny A, Pentland Cet al., 2013,

    Pore-scale imaging and modelling

    , ADVANCES IN WATER RESOURCES, Vol: 51, Pages: 197-216, ISSN: 0309-1708
  • Journal article
    Matsushima T, Blumenfeld R, 2013,

    Microstructural characteristics of planar granular solids

    , POWDERS AND GRAINS 2013, Vol: 1542, Pages: 325-328, ISSN: 0094-243X
  • Journal article
    Iglauer S, Paluszny A, Blunt MJ, 2013,

    Simultaneous oil recovery and residual gas storage: A pore-level analysis using in situ X-ray micro-tomography

    , FUEL, Vol: 103, Pages: 905-914, ISSN: 0016-2361
  • Conference paper
    Andrew M, Bijeljic B, Blunt MJ, 2013,

    Reservoir-condition pore-scale imaging of supercritical carbon dioxide

    , Pages: 4977-4985

    We present the results from a novel experimental apparatus that can image - at the micron scale - fluid displacements at elevated temperatures and pressures. The images are acquired using a micro-CT scanner (Xradia Versa 500) that has been adapted to allow core flood experiments to be conducted in situ, allowing continuous imaging at resolutions down to around 1 μm. A small cylindrical core - approximately 6 mm in diameter - is placed in a carbon fibre core holder that allows high pressures and temperatures to be imposed, while remaining largely transparent to x-rays. Fluids are injected into this mini-core holder, with flexible tubing to allow the core to rotate during scanning. We use this apparatus to study the displacement of supercritical carbon dioxide by brine, with application to carbon storage in aquifers. We study displacement in carbonate and sandstone rocks. Experiments in carbonates introduce additional challenges, since the carbon dioxide, brine and rock need to pre-equilibrated to prevent dissolution of carbon dioxide and chemical reaction (dissolution) with the rock during the experiments: this then reproduces conditions in the centre of a carbon dioxide plume where local thermodynamic equilibrium has been reached. We study displacement in Ketton limestone and Bentheimer sandstone. Both rocks have large inter-granular pores. In Ketton there is also significant intra-granular micro-porosity that remains brine-saturated during the experiments. We study primary drainage (injection of carbon dioxide) followed by secondary imbibition (injection of brine). We image the distribution of the phases during and at the end of the experiment. We show that significant quantities of carbon dioxide can be trapped as a residual phase in the pore space of both rock types, with a saturation matching that measured in core-scale (cm scale) experiments (0.202±0.012 in Ketton and 0.320±0.009 in Bentheimer). Trapped ganglia of all sizes are observed, with a

  • Journal article
    Alkhatib A, King P, 2013,

    Applying the Probabilistic Collocation Method to surfactant-polymer flooding

    , Saint Petersburg Russia - From Fundamental Science to Deployment: 17th European Symposium on Improved Oil Recovery, IOR

    Enhanced oil recovery has achieved great attention during the past few years However, broad scale implementation requires greater understanding of the relevant uncertainties and their effect on performance Quantifying this uncertainty is very important for designing these processes, yet traditional methods which are usually based on Monte Carlo simulations require a large number of realizations to produce convergent results We propose the use of a non-intrusive approach known as the Probabilistic Collocation Method (PCM) to quantify parametric uncertainty for surfactant-polymer flooding The quantification of uncertainty was performed for surfactant/polymer related state variables such as adsorption rates and residual saturations The PCM is performed on two reservoir models a modified section of the SPE10 model and the PUNQ-S3 model The random input variables PDFs are first approximated using polynomial chaos expansions and then probabilistic collocation is used to produce approximations of the reservoir model using the collocation points obtained via Gaussian quadrature and Chebyshev extrema These approximations can then be used to produce PDFs for output variables such as the recovery factor Results show that PCM produces similar results to those obtained via Monte Carlo simulation, which requires a large number of simulations, while requiring significantly lower number of simulation runs.

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