As discussed in Chapter 2, Empirical Methods of Reservoir Quality Prediction, porosity and permeability reflect the cumulative result of physical and chemical processes acting on a given volume of rock. These processes are constrained by the fundamental physical-chemical variables of Pressure (P), Temperature (T), Time (t), and Composition (X, where composition includes not only rock chemical composition expressed as mineralogy, but also fluid composition and textural variables such as size, sorting, orientation, and packing). Porosity at any given time for a given unit of rock at depth results from the complex interaction of these variables through time. Fundamental to the development of predictive models is the measurement of these independent variables (or alternate variables which reflect the influence of these fundamental variables). This and the next three chapters will discuss the measurement of these independent variables, as well as some examples of interactive variables which combine the influence of two or more of these basic variables.
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Reservoir Quality Assessment and Prediction in Clastic Rocks
This course is designed to emphasize the following topics: (1) Historical perspective on previous and current empirical, and geochemical methods of reservoir quality prediction; (2) Overview of diagenetic processes which significantly impact reservoir quality and those factors which act as major controls on those processes; (3) Proper design of a comprehensive or limited-focus predictive analysis of reservoir quality; (4) Methodologies for the accurate measurement of all major dependent and independent variables; (5) Data analysis techniques involved in quality control and the assessment of variability prior to performing multivariate regression; (6) Steps involved in the generation of a multivariate regression to insure that the model developed provides maximum accuracy using a minimum number of independent variables; (7) Case histories from a variety of settings illustrating application of the recommended approach to reservoir quality prediction.