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• W4312687625 abstract "The pore space of rocks is the theme of this chapter. Pore space here is also meant to include fractures, cleats, and cracks which may be found in rocks, besides the pore assemblages as normally understood. Pore space is built up of pores. The different attributes of pores, e.g., shape, size, orientation in space, degree of connection with the surrounding pore space, and the morphology and dimensions of the junction between two pores, define the pore space. In rocks, pores occur as assemblages of connected pores, forming pore networks, isolated pores, and unconnected pore assemblages. The morphology of the pore networks in a rock is as important as the set of attributes that characterize individual pores. This is because morphology plays an equal role to that played by pore attributes in determining the elastic properties, fluid transport properties, electric conductance, and the dielectric permittivity of rocks. Logs measure the abovementioned properties of rocks. Therefore, inversion of log data is useful in interpreting macroscopic and pore level attributes. In fact, one of the important methods through which the quantitative understanding of the pore networks within rocks is achieved is by inverting simultaneously multiple types of log measurements. The forward models required for inversion are largely guided by the lab investigations carried on representative samples from cores cut from the relevant rock strata. These investigations characterize the grains pores and the pore networks (that together comprise pore space). The objective of log data inversion could be single or a combination of the macroscopic attributes of the pore space. These data are crucial for the understanding of the reservoir dynamics in the context of production of oil and gas from rock strata. This chapter, however, is limited to introducing some of the laboratory study–based characterizations of pore space within different types of rocks, and introducing the context and relevance of these data to the log data inversion. How the log data help to understand the pore size heterogeneity and the degree of pore connectivity are also discussed." @default.
• W4312687625 created "2023-01-05" @default.
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• W4312687625 date "2022-01-01" @default.
• W4312687625 modified "2023-09-23" @default.
• W4312687625 title "Pores and pore space" @default.
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• W4312687625 doi "https://doi.org/10.1016/b978-0-444-64169-4.00007-9" @default.
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