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Titlebook: Carbonate Reservoir Characterization; An Integrated Approa F. Jerry Lucia Book 19991st edition Springer-Verlag Berlin Heidelberg 1999 Carbo

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Nonlinear Control of Wheeled Mobile Robotsesent point data. Point data are expanded in one dimension by detailed sampling of core material, and the vertical sequence of rock fabrics is used to extrapolate the petrophysical data laterally, as will be discussed in a later chapter. Core samples are normally available from only a few wells, whe
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https://doi.org/10.1007/BFb0113116ribution of geological processes, processes that can be separated into depositional and diagenetic. In Chapter 4 we discussed depositional processes and the relationship between the spatial distribution of depositional textures and petrophysical properties. Reservoir studies have made it abundantly
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Nonlinear Control of Wheeled Mobile Robotser 5, the products of cementation, compaction, and selective dissolution can normally be linked to depositional textures because the transport of material in and out of the system is not an important factor in producing the diagenetic product. However, if the transport of ions in and out of the syst
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The Nonlinear Guiding Center Theory,rvoir performance. A key element in constructing reservoir models is modeling the high and low permeabilities. In the past, these images have been prepared by several different methods including (1) the layered reservoir method, (2) the continuous pay method, and (3) the facies method (Fig. 1). In t
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Nonlinear Control of Wheeled Mobile Robots extrapolate the petrophysical data laterally, as will be discussed in a later chapter. Core samples are normally available from only a few wells, whereas wireline logs are available from most wells. Therefore, most geological as well as petrophysical information must be derived from wireline logs.
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