Linguistics

Engineering

Philosophy

Neuroscience

Biology

Poromechanics

Geotechnical engineering

Materials science

Stress (linguistics)

Petroleum engineering

Coal mining

Ultrasonic sensor

Acoustics

Percolation (cognitive psychology)

Percolation theory

Geology

Coal

Porosity

Waste management

Physics

Mathematics

Porous medium

Combinatorics

Effective stress

Topology (electrical circuits)

Mechanics

Rock Mechanics and Rock Engineering

The effective stress coefficient (ESC) is a key parameter in the linear poroelastic effective stress formulation. In fluid-bearing porous media, the effective stress is the difference between total stress and a fraction of the pore fluid pressure controlled by the ESC. The ESC is either measured in the laboratory or estimated by empirical models using field data. Among different techniques, sonic velocity measurements are widely used to estimate the ESC. The structure of coal, however, has some inherent differences to other porous rocks which in turn affect its hydromechanical behavior. For instance, there is no clear definition of grains and matrix in coal making it unclear whether coal, even when saturated by a non-sorbing gas, follows the same principles of sonic-based estimation of the ESC applicable to other rocks. In this study, we develop a model based on the percolation theory and ultrasonic measurements of coal samples saturated with non-sorbing gases to obtain the ESC. To assess the assumptions used in the development of this model, we measured the ESC of different coal samples through two independent, extensive sets of hydromechanical experiments: static and dynamic (ultrasonic). We then compared the results of these experiments with each other and with some of the existing models and evaluated the performance of the percolation-based model in depth.

The Effective Stress Coefficient of Coal: A Theoretical and Experimental Investigation