Application of capacitace - resistance models to secondary oil recovery by waterflooding

Abstract

The capacitance - resistance model (CRM) is the result of the equivalence between a reservoir system and a RC circuit. To build the CRM, we need to determine two variables, which are the time constant and the connectivity. This study focused on three different control volumes for CRMs: 1) the volume of the entire field - CRMT, 2) the drainage volume of each producer - CRMP, 3) the drainage volume between each injector/producer pair - CRMIP. The CRM allows for quick estimation of the total rate. So that, to estimate the oil production rate needs to combine with empirical oil fractional - flow models. This paper chose the Gentil model to use in conjunction with a CRM model and proposing the forecasting of oil production rate. This study evaluates the level of efficiency as well as the reliability of the CRM through two particular reservoirs. The first reservoir is assumed as an entire reservoir, which has an injector and a producer. The CRMT was applied to the reservoir and giving the estimated data quite close to actual data. The second reservoir, the 5 spot model was built in Computer modelling group software (CMC), which provided injection/production data. The estimated forecast result, which was obtained after applying CRMIP for this reservoir, was close to the result given by CMG. However, the oil rate had a relatively large deviation in the forecast compared with CMG data, so the empirical parameters of the Gentil model need to be updated after a period of time.