This article describes the basic principles of experimental design, which is the procedure and pattern for obtaining mathematical description or mathematical model of a process or parameter under study as linear or nonlinear regression equation based on the limited number of reproducible experimental data. Experimental design in petrophysical studies is applied to investigate, for example, the influence of clay and carbonate contents in clastic rocks and depth of burial on porosity and permeability, and the influence of temperature and pressure on some principal petrophysical parameters.
Notes
1A statistical criterion used to compare sample and population means when the variances are unknown.
2A statistical criterion used to test a hypothesis concerning the equality of two population variances based on the variances of two samples, one from each population.