52 research outputs found

    Multi-physics inversion for reservoir monitoring

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    In this paper we consider the use of, time-domain electromagnetic, DC electrical and injection-production data in isolation and in combinations in order to investigate their potential for monitoring spatial fluid saturation changes within reservoirs undergoing enhanced oil recovery. We specifically consider two scenarios, a CO2 EOR within a relatively shallow reservoir, and a water flood within a deep carbonate reservoir. The recognition of the signal-enhancing role that electrically high conductivity steel well casings play makes the use of EM data possible in both these scenarios. The work has demonstrated that reservoir fluid saturation changes from EOR processes produce observable changes in surface electric fields when surface-to-borehole (deep reservoirs), and surface-tosurface (shallow reservoirs) configurations are used and the steel well casings are accurately modeled. Coupled flow and TDEM data inversion can significantly improve estimate of fluid saturation levels and location compared to inversion of flow data only. The inversion of surface time-domain electric fields, including DC fields can resolve volumetric and resistivity differences that can distinguish between various water flood scenarios. Coupled flow and DC data can resolve the size and orientation of elongated fracture zones within limits that are considered a significant improvement over estimates made with traditional data

    On a correspondence between quantum SU(2), quantum E(2) and extended quantum SU(1,1)

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    In a previous paper, we showed how one can obtain from the action of a locally compact quantum group on a type I-factor a possibly new locally compact quantum group. In another paper, we applied this construction method to the action of quantum SU(2) on the standard Podles sphere to obtain Woronowicz' quantum E(2). In this paper, we will apply this technique to the action of quantum SU(2) on the quantum projective plane (whose associated von Neumann algebra is indeed a type I-factor). The locally compact quantum group which then comes out at the other side turns out to be the extended SU(1,1) quantum group, as constructed by Koelink and Kustermans. We also show that there exists a (non-trivial) quantum groupoid which has at its corners (the duals of) the three quantum groups mentioned above.Comment: 35 page

    Enhancing proton mobility in polymer electrolyte membranes : lessons from molecular dynamic simulation

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    Typical proton-conducting polymer electrolyte membranes (PEM) for fuel cell applications consist of a perfluorinated polymeric backbone and side chains with SO3H groups. The latter dissociate upon sufficient water uptake into SO3- groups on the chains and protons in the aqueous subphase, which percolates through the membrane. We report here systematic molecular dynamics simulations of proton transport through the aqueous subphase of wet PEMs. The simulations utilize a recently developed simplified version (Walbran, A.; Kornyshev, A. A. J. Chem. Phys. 2001, 114, 10039) of an empirical valence bond (EVB) model, which is designed to describe the structural diffusion during proton transfer in a multiproton environment. The polymer subphase is described as an excluded volume for water, in which pores of a fixed slab-shaped geometry are considered. We study the effects on proton mobility of the charge delocalization inside the SO3- groups, of the headgroup density (PPM "equivalent weight"), and of the motion of headgroups and side chains. We analyze the correlation between the proton mobility and the degree of proton confinement in proton-carrying clusters near SO3- parent groups. We have found and rationalized the following factors that facilitate the proton transfer: (i) charge delocalization within the SO3- groups, (ii) fluctuational motions of the headgroups and side chains, and (iii) water content

    Modeling of proton transfer in polymer electrolyte membranes on different time and length scales

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    Polymer electrolyte membranes (PEMs) are key component materials in fuel cell technology. Understanding the relationship between the elementary acts of proton transport and the operation of the entire cell on different time and length scales is therefore particularly rewarding. We discuss the results of recent atomistic computer simulations of proton transport in porous PEMs. Different models cover the range from individual local proton hops to diffusion processes with polymer mobility included
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