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A Recovery Prediction Model for Solvent Enhanced Steam Flooding in Thin Heavy Oil Reservoirs
LIU Hao, CHENG Linsong, YANG Zhijun, HUANG Shijun, LI Chunlan, ZHANG Zhongyi
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS
2017, 34 (2):
183-192.
With analyses of field production data and numerical simulations,solvent-enhanced steam flooding (SESF) production process is divided into three stages. By integrating mass conservation equation, energy conservation equation, motion equation and diffusion equation, a mathematical model was obtained to describe steam front development.The expression is a typical Volterra integral function of the second kind and could be transformed by Laplace transformation.It is solved by discretizing time and space into small intervals. With comparison of calculated results and those of STARS, relative error of less than 4% for whole process is found. The model provides an accurate and quick method for analyzing effects of solvent properties and injection strategies on SESF production process.
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