01966nab a2200193 4500 20260520000927.0 260224s2011 xxu Parameter space reduction and sensitivity analysis in complex thermal subsurface production processes ene./feb. 2011 04/04/2011 ; 04/04/2011 9 p. ; 251–259 Transcripción del resumen del autor. As conventional resources for liquid fuels in the world become scarcer and less secure, there is a need to develop other feasible resources. Oil shale is a massive resource local to the United States for potential liquid fuel production. In situ oil shale processing strategies are attractive for reduced environmental impact (in comparison to surface production operations) and provide access to resources inaccessible to mining. The efficiency of feasible and economical development is greatly enhanced with predictive power that is both efficient and accurate. However, modeling thermal subsurface processes is a complex problem, involving many simultaneously occurring physical phenomena. In this study, an oil reservoir simulator capable of representing thermal processes was used to explore the impact and interplay of various pertinent parameters to an in situ oil shale processing strategy. A statistical methodology was developed using designed factorial experiments (simulations) to expose probable dominating parameters, including synergistic or diminutive interactions between parameters. An empirical regression model or response surface was built from the simulated data. Monte Carlo simulations were used to characterize the response surface and to estimate the uncertainty in predicted oil recovery results because of the explored parameters. 1 Energy & fuels 25 ARTICULO Bauman, Jacob H. 45040 Deo, Milind D. 38218 174400 174400 0 0 0 0 242219 BAAB BAAB 2026-03-05 200052416 0 200052416 2026-03-05 16:11:49 2026-03-05 ARTICULO