Robust and efficient algorithms for phase equilibrium calculations of reservoir fluids at constant moles, volume and temperature

  • Shuyu Sun, Professor of Earth Science and Engineering، KAUST
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B9 L3 R3128

Reservoir simulation usually involves the fluid flow of partially miscible multi-component multi-phase mixture in porous media. Phase behavior of fluid mixture is a crucial component of many multi-phase flow framework. Accurate modeling and robust computation of the phase behavior is essential for optimal design and cost-effective operations in petroleum reservoirs as well as in a petroleum processing plant. A typical problem formulation in phase behavior is two-phase constant volume flash, i.e., the two-phase phase-split under the constant temperature, moles, and volume.

Overview

Abstract

Reservoir simulation usually involves the fluid flow of partially miscible multi-component multi-phase mixture in porous media.  Phase behavior of fluid mixture is a crucial component of many multi-phase flow framework.  Accurate modeling and robust computation of the phase behavior is essential for optimal design and cost-effective operations in petroleum reservoirs as well as in a petroleum processing plant.  A typical problem formulation in phase behavior is two-phase constant volume flash, i.e., the two-phase  phase-split under the constant temperature, moles, and volume.

Brief Biography

Shuyu Sun is a founding Professor of Earth Science and Engineering at King Abdullah University of Science and Technology (KAUST); he is also jointly affiliated with the Program of Applied Mathematics and Computational Science and the Program of Energy Resource and Petroleum Engineering at KAUST. He obtained his Ph.D. degree in computational and applied mathematics from The University of Texas at Austin in 2003.  He has published 330+ refereed journal articles and numerous conference papers. Currently he is the president of InterPore (International Society for Porous Media) Saudi Chapter. 

Presenters

Shuyu Sun, Professor of Earth Science and Engineering، KAUST