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Surfactant flooding: The influence of the physical properties on the recovery efficiency

Petroleum 2020年第2期6卷 149-162页

作者： P.Druetta F.Picchioni Department of Chemical Engineering ENTEGUniversity of GroningenNijenborgh 49747AGGroningenthe Netherlands

Enhanced Oil Recovery(EOR)processes aim at increasing the performance and operative life of oilfields while newer,greener and more efficient energy sources are *** the chemical EOR techniques,surfactant flooding is one of the most well-known methods,applied mainly in low-and medium-viscosity *** diminish the interfacial energy between the oleous and aqueous phases,reducing the forces responsible of the capillary trapping phenomenon and mobilizing the remaining *** paper presents the study of a novel two-dimensional surfactant flooding simulator for a four-component(water,petroleum,chemical,salt),two-phase(aqueous,oleous)system in porous *** is aimed mainly at discussing the influence of the physical phenomena present in the reservoir during the recovery,namely:rock compressibility,diffusion,capillary pressure and *** system is numerically solved using a second-order finite difference method using the IMPEC(IMplicit Pressure and Explicit Concentration)*** oil recovery factor was negatively affected when these phenomena were considered,being strongly sensitive to the *** other phenomena decreased the efficiency of the process to a lesser extent,whilst the capillary pressure did not affect significantly the flooding *** presence of salt in the reservoir rendered the adsorption process more relevant,with water-in-oil emulsions being more sensitive to the presence of this fourth *** paper shows the importance of the design and optimization of chemical agents to be used in EOR before its field application.

关键词： EOR Surfactant Adsorption Reservoir simulation total variation diminishing

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A TVD Uncertainty Quantification Method with Bounded Error Applied to Transonic Airfoil Flutter

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Communications in Computational Physics 2009年第7期6卷 406-432页

作者： Jeroen A.S.Witteveen Hester Bijl Faculty of Aerospace Engineering Delft University of TechnologyKluyverweg 12629HS DelftThe Netherlands

The Unsteady Adaptive Stochastic Finite Elements(UASFE)approach is a robust and efficient uncertainty quantification method for resolving the effect of random parameters in unsteady *** this paper,it is shown that the underlying Adaptive Stochastic Finite Elements(ASFE)method for steady problems based on Newton-Cotes quadrature in simplex elements is extrema diminishing(ED).It is also shown that the method is total variation diminishing(TVD)for one random parameter and for multiple random parameters for first degree Newton-Cotes *** is proven that the interpolation of oscillatory samples at constant phase in the UASFE method for unsteady problems results in a bounded error as function of the phase for periodic responses and under certain conditions also in a bounded error in *** two methods are applied to a steady transonic airfoil flow and a transonic airfoil flutter problem.

关键词： total variation diminishing extrema diminishing error bounds stochastic finite elements uncertainty quantification transonic flow transonic flutter

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