Alternate and Emerging Methodologies
Chapter 18, Data Analysis and Empirical Modeling, presented aspects of development of linear models using multivariate linear regression analysis. This methodology is highly practical and easily utilized by most geologists, but is clearly not the only one available for development of predictive models, nor does it necessarily always provide the most accurate models. Numerous alternate methodologies and emerging methodologies, both process- and effect-oriented, theoretical and empirical, have been and are being developed. This chapter will briefly touch on emerging and alternate methodologies for process- and effect-oriented modeling.
Figures & Tables
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.