Mathematical Simulation of Using Chromatography Fingerprint To Monitor Reservoir Performance

摘要

The contribution of a single formation to liquid production is different from others in the production due to hetergenities of reservoir rocks and the fluid distribution. The geochemical monitoring of reservoir performance is to estimate the variation of bulk liquid production of individual pay formation using chromatography fingerprint correlation analysis technology developed in 1990' s. The aim is to monitor the behavior of fluid in the reservoir, to carry out reservoir management, and take measures to raise recovery efficiency. Physical and mathematical moders based on the HQR algorithm have been made according to the process of commingled production of different pay bed. Chromatography fingerprint parameters database can be established using allocation experimental technology to carry out the research of chemical, mathematical simulation and to determine the characteristic methods of those and the four limited conditions of model parameter. Simulation results show that the constraint condition of chromatography fingerprint parameters in calculation is: (1)The parameter reflecting each single pay formation remains constant with the variation of contribution; (2) For one fingerprint compound, the content of this compound in the commingled samples are under the control of the relative contribution of single pay bed respectively; (3) A certain discrete degree must be exised between the array of the parameters of each bed. Therefore mathematical simulation on three - pay bed commingled production dynamic monitoring has been resolved by choosing new parameter.