A tool to predict the production pressure of methane gas from sediments

This thesis focuses on development of new Engineering tool to predict the production pressure of methane gas from gas hydrate sediments. It builds upon the application of percolation theory. Percolation theory deals with the effects of varying the connectivity of elements in a random system. Random generation technique used to generate virtual grid of gas hydrate sediments. Hoshen Kopelman Algorithm describes the idea behind the percolation check. At 45% reservoir porosity 1000 pores site matrix is generated by using Box Muller Transform Technique. 70 A is mean pore size of gas hydrate pore with 20 A standard variance. Production pressure is calculated at 266 K constant temperature by using depressurization technique. Hoshen Kopelman gives us information about Total No of Melted Pores, Total Cluster Formation, Biggest Cluster Size and its location in grid. Mean cluster size is calculated at different production pressure. At given pores size distribution, by using these new tools we calculate the optimum production pressure for methane in gas hydrate reservoir.