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    Iglauer S, Paluszny A, Blunt MJ, 2015,

    Simultaneous oil recovery and residual gas storage: A pore-level analysis using in situ X-ray micro-tomography (vol 103, pg 905, 2013)

    , FUEL, Vol: 139, Pages: 780-780, ISSN: 0016-2361
    Al-Hadhrami MM, Alkindi AS, Muggeridge AH, 2014,

    Experimental and numerical investigations into the effect of heterogeneities on the recovery of heavy oil by VAPour EXtraction (VAPEX)

    , FUEL, Vol: 135, Pages: 413-426, ISSN: 0016-2361
    Al-Shamma B, Gosselin O, King P, 2014,

    Parameterization using sensitivity methods for global history matching techniques

    , Pages: 887-891

    For any history-matching method, an efficient optimisation method is required, but more importantly an effective selection of parameters. The parameterisation assists in reducing a large number of possible parameters, in the absence of available data measurements, lowering also the number of altered parameters. This paper describes the implementation of flexible integrated parameterization and optimization methods, tested on the PUNQS3 synthetic model, an iterative series of parameterisation, as a pragmatic strategy, and a comparison between various parameterization methods: layer-based, gradient-based, median-based, and distribution-based. The chosen parameters are regions or zones where permeabilities and porosity are adjusted using a common multipliers. The selected parameters are then utilized as search parameters to minimize an objective function, which quantifies the mismatch between the observed and simulated production data, using a so-called global minimisation algorithm. Successive parameterizations can be used, as part of an iterative process, where the history match is improved by further parameterisation, based on the previous "best match". The optimisation techniques cannot perform well without a suitable and effective parameterisation method. This study shows a pragmatic combination of a global technique and various parameterisation methods. It emphasizes, that a low objective function can be far from the true models, and not predictive.

    AlSofi AM, Blunt MJ, 2014,

    Polymer flooding design and optimization under economic uncertainty

    , JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, Vol: 124, Pages: 46-59, ISSN: 0920-4105
    Alkhatib A, King P, 2014,

    Robust quantification of parametric uncertainty for surfactant-polymer flooding

    , COMPUTATIONAL GEOSCIENCES, Vol: 18, Pages: 77-101, ISSN: 1420-0597
    Alkhatib A, King P, 2014,

    An approximate dynamic programming approachto decision making in the presence of uncertainty for surfactant-polymer flooding

    , COMPUTATIONAL GEOSCIENCES, Vol: 18, Pages: 243-263, ISSN: 1420-0597
    Alkhatib A, King P, 2014,

    Enhanced decision making for chemical EOR processes under uncertainty - Applying the LSPC method

    The Least Squares Monte Carlo method is a decision evaluation method that can capture the value of flexibility of a process. This method was shown to provide us with some insight into the effect of uncertainty on decision making and to help us capture the upside potential or mitigate the downside effects for a chemical EOR process. The method is a stochastic approximate dynamic programming approach to decision making. It is based on a forward simulation coupled with a recursive algorithm which produces the near-optimal policy. It relies on Monte Carlo simulation to produce convergent results. This incurs a significant computational requirement when using this method to evaluate decisions for reservoir engineering problems because this requires running many reservoir simulations. The objective of this study was to enhance the performance of the Least Squares Monte Carlo method by improving the sampling method used to generate the technical uncertainties used in producing the production profiles. The probabilistic collocation method has been proven to be a robust and efficient uncertainty quantification method. It approximates the random input distributions using polynomial chaos expansions and produces a proxy polynomial for the output parameter requiring a limited number of model responses that is conditional on the number of random inputs and the order of the approximation desired. The resulting proxy can then be used to generate the different statistical moments with negligible computational requirement. By using the sampling methods of the probabilistic collocation method to approximate the sampling of the technical uncertainties, it is possible to significantly reduce the computational requirement of running the decision evaluation method. Thus we introduce the least square probabilistic collocation method. Both methods are then applied to chemical EOR problems using a number of stylized reservoir models. The technical uncertainties considered include the residu

    Amaechi B, Iglauer S, Pentland CH, Bijeljic B, Blunt MJet al., 2014,

    An Experimental Study of Three-Phase Trapping in Sand Packs

    , TRANSPORT IN POROUS MEDIA, Vol: 103, Pages: 421-436, ISSN: 0169-3913
    Amin SM, Weiss DJ, Blunt MJ, 2014,

    Reactive transport modelling of geologic CO2 sequestration in saline aquifers: The influence of pure CO2 and of mixtures of CO2 with CH4 on the sealing capacity of cap rock at 37 degrees C and 100 bar

    , CHEMICAL GEOLOGY, Vol: 367, Pages: 39-50, ISSN: 0009-2541
    Anastasaki E, Xiang J, Latham JP, 2014,


    , Coasts, Marine Structures and Breakwaters 2013: From Sea to Shore - Meeting the Challenges of the Sea
    Andrew M, Bijeljic B, Blunt MJ, 2014,

    Pore-scale contact angle measurements at reservoir conditions using X-ray microtomography

    , ADVANCES IN WATER RESOURCES, Vol: 68, Pages: 24-31, ISSN: 0309-1708
    Andrew M, Bijeljic B, Blunt MJ, 2014,

    Pore-scale imaging of trapped supercritical carbon dioxide in sandstones and carbonates

    Andrew M, Bijeljic B, Blunt MJ, 2014,

    Pore-by-pore capillary pressure measurements using X-ray microtomography at reservoir conditions: Curvature, snap-off, and remobilization of residual CO2

    , WATER RESOURCES RESEARCH, Vol: 50, Pages: 8760-8774, ISSN: 0043-1397
    Andrew MG, Bijeljic B, Blunt MJ, 2014,

    Reservoir-condition pore-scale imaging -contact angle, wettability, dynamics and trapping

    , Pages: 2804-2808

    Firstly capillary trapping is examined in a range of five different rock types, including both carbonates and sandstones. Rocks are imaged both after drainage and imbibition, and in all cases between 65-70% of the CO2 in place after drainage was trapped. Trapped cluster size distributions are compared to rock connectivity as determined using pore network modelling. Better connected pore-spaces tend to have more large clusters relative to small clusters, and visa-versa. This is important as small clusters are more difficult to remobilise by viscous and gravitational forces. They also present a relatively larger surface area for reaction and mineralization. Secondarily wettability is analysed by measuring contact angle manually. In order to do this the contact line was found in 3D and the data set resampled onto planes perpendicular to the contact line at a particular point. Contact angles ranging from 35-55o were found, indicating that the super-critical CO2-brine-carbonate system is weakly water wet. The range in contact angles is interpreted as the result of contact angle hysteresis associated with surface heterogeneity. Finally the first images of CO2 drainage at reservoir conditions are also presented, imaged at Diamond Light Source, represented an unprecented depth of information about pore-scale flow processes.

    Bardy G, Biver P, Caumon G, Renard P, Corpel V, King PRet al., 2014,

    Proxy comparison for sorting models and assessing uncertainty on oil recovery profiles

    To study the impact of subsurface uncertainties on oil recovery, it is common to build a large set of models which cover these uncertainties. Despite increase of computational capabilities, as models become more complex, it is not possible to perform full physic flow simulation for all the generated models. This is why stochastic reservoir model sets are often decimated to assess the impact of static uncertainties on dynamic reservoir performance. This contribution will focus on the use of proxy to perform this data set reduction. A lot of different proxies have been developed, from the simplest to the more complicated so it is difficult to choose the good one according to a particular goal. We present different criteria to compare the proxy quality and their helps to assess uncertainties on oil recovery. A first criterion will be based on the relation which may exists between the model distances computed on the proxy responses and those compute on flow responses. Another criterion is the speed factor and simplification provide by the proxy compared to the full physic simulator. These two criteria are very simple and can be applied in an early time to avoid deploying time consuming proxies which won't provide accurate information. The last criterion presented here, is the confidence intervals which can be computed around probabilistic reservoir production forecasts computed on a small representative subset of model. Even if this criterion can be used only when the entire dataset has been simulated, it provides some quantification about a possible bias created by a proxy and the remaining uncertainties on oil recovery. We present here a comparison study between widely different proxy responses applied on a real dataset of that methodology. This will give us some keys to choose a proxy which is a good compromise between accuracy and easy to handle methodology.

    Blumenfeld R, Edwards SF, 2014,

    Granular statistical mechanics - a personal perspective

    , EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, Vol: 223, Pages: 2189-2204, ISSN: 1951-6355
    Boot-Handford ME, Abanades JC, Anthony EJ, Blunt MJ, Brandani S, Mac Dowell N, Fernandez JR, Ferrari M-C, Gross R, Hallett JP, Haszeldine RS, Heptonstall P, Lyngfelt A, Makuch Z, Mangano E, Porter RTJ, Pourkashanian M, Rochelle GT, Shah N, Yao JG, Fennell PSet al., 2014,

    Carbon capture and storage update

    , ENERGY & ENVIRONMENTAL SCIENCE, Vol: 7, Pages: 130-189, ISSN: 1754-5692
    Carriero A, Zimmermann EA, Paluszny A, Tang SY, Bale H, Busse B, Alliston T, Kazakia G, Ritchie RO, Shefelbine SJet al., 2014,

    How Tough Is Brittle Bone? Investigating Osteogenesis Imperfecta in Mouse Bone

    , Journal of Bone and Mineral Research, Vol: 29, Pages: 1392-1401, ISSN: 1523-4681

    The multiscale hierarchical structure of bone is naturally optimized to resist fractures. In osteogenesis imperfecta, or brittle bone disease, genetic mutations affect the quality and/or quantity of collagen, dramatically increasing bone fracture risk. Here we reveal how the collagen defect results in bone fragility in a mouse model of osteogenesis imperfecta (oim), which has homotrimeric α1(I) collagen. At the molecular level, we attribute the loss in toughness to a decrease in the stabilizing enzymatic cross-links and an increase in nonenzymatic cross-links, which may break prematurely, inhibiting plasticity. At the tissue level, high vascular canal density reduces the stable crack growth, and extensive woven bone limits the crack-deflection toughening during crack growth. This demonstrates how modifications at the bone molecular level have ramifications at larger length scales affecting the overall mechanical integrity of the bone; thus, treatment strategies have to address multiscale properties in order to regain bone toughness. In this regard, findings from the heterozygous oim bone, where defective as well as normal collagen are present, suggest that increasing the quantity of healthy collagen in these bones helps to recover toughness at the multiple length scales.

    Ciotta F, Trusler JPM, Vesovic V, 2014,

    Extended hard-sphere model for the viscosity of dense fluids

    , FLUID PHASE EQUILIBRIA, Vol: 363, Pages: 239-247, ISSN: 0378-3812
    Dale A, John CM, Mozley PS, Smalley PC, Muggeridge AHet al., 2014,

    Time-capsule concretions: Unlocking burial diagenetic processes in the Mancos Shale using carbonate clumped isotopes

    , EARTH AND PLANETARY SCIENCE LETTERS, Vol: 394, Pages: 30-37, ISSN: 0012-821X
    Deveugle PEK, Jackson MD, Hampson GJ, Stewart J, Clough MD, Ehighebolo T, Farrell ME, Calvert CS, Miller JKet al., 2014,

    A comparative study of reservoir modeling techniques and their impact on predicted performance of fluvial-dominated deltaic reservoirs

    , AAPG BULLETIN, Vol: 98, Pages: 729-763, ISSN: 0149-1423
    Fitch PJR, Jackson MD, Hampson GJ, John CMet al., 2014,

    Interaction of stratigraphic and sedimentological heterogeneities with flow in carbonate ramp reservoirs: impact of fluid properties and production strategy

    , PETROLEUM GEOSCIENCE, Vol: 20, Pages: 7-26, ISSN: 1354-0793
    Go J, Bortone I, Muggeridge A, Smalley Cet al., 2014,

    Predicting Vertical Flow Barriers Using Tracer Diffusion in Partially Saturated, Layered Porous Media

    , TRANSPORT IN POROUS MEDIA, Vol: 105, Pages: 255-276, ISSN: 0169-3913
    Guadagnini A, Blunt MJ, Riva M, Bijeljic Bet al., 2014,

    Statistical Scaling of Geometric Characteristics in Millimeter Scale Natural Porous Media

    , TRANSPORT IN POROUS MEDIA, Vol: 101, Pages: 465-475, ISSN: 0169-3913
    Hellmann R, Bich E, Vogel E, Vesovic Vet al., 2014,

    Intermolecular potential energy surface and thermophysical properties of the CH4-N-2 system

    , JOURNAL OF CHEMICAL PHYSICS, Vol: 141, ISSN: 0021-9606
    Kang PK, de Anna P, Nunes JP, Bijeljic B, Blunt MJ, Juanes Ret al., 2014,

    Pore-scale intermittent velocity structure underpinning anomalous transport through 3-D porous media

    , GEOPHYSICAL RESEARCH LETTERS, Vol: 41, Pages: 6184-6190, ISSN: 0094-8276
    Lang PS, Paluszny A, Zimmerman RW, 2014,

    Permeability tensor of three-dimensional fractured porous rock and a comparison to tracemap predictions

    , JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, Vol: 119, Pages: 6288-6307, ISSN: 2169-9313
    Leal AMM, Blunt MJ, LaForce TC, 2014,

    Efficient chemical equilibrium calculations for geochemical speciation and reactive transport modelling

    , GEOCHIMICA ET COSMOCHIMICA ACTA, Vol: 131, Pages: 301-322, ISSN: 0016-7037
    Lei Q, Latham J-P, Xiang J, Tsang C-F, Lang P, Guo Let al., 2014,

    Effects of geomechanical changes on the validity of a discrete fracture network representation of a realistic two-dimensional fractured rock

    Lei Q, Latham JP, Xiang J, Lang Pet al., 2014,

    Coupled FEMDEM-DFN model for characterising thestress-dependent permeability of an anisotropic fracture system

    , 1st International Conference on Discrete Fracture Network Engineering

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