| The reservoir heterogeneity exists widely,which is an important factor influencing theresidual oil distribution in the late exploiting period and waterflood efficiency. Application ofreal-time controlling techniques of intelligent oilfield can effectively delay waterbreakthrough and improve recovery. Basing on extensive literature survey, this projectapplied the real-time controlling&optimization theory of intelligent oilfield to indoorphysical simulation to confirm its feasibility. Applying intelligent oil field theory, real-timecontrol simulation experiment system was developed, which is capable of real-timemonitoring and controlling; according to the similar guidelines, the conceptual model of planeheterogeneity reservoir with five points well net was developed; experiment methods using3-D sand pack model was also developed; water flooding experiments were carried out tostudy the effects of different control strategies on EOR. The experimental results showed thatboth proactive and reactive controlling strategy can improve oil recovery, reduce producedwater and increase oil production; proactive control strategy can effectively put off waterbreakthrough in high permeability areas; reactive control strategy works better in productionwell than in injection well. The optimum controlling time is at watercut of about80%, andtime step of60min; Reduplicate control can obtain good result at early exploiting period, butcommon at the late period; mixing control can better improve final recovery, delay watercut,and reduce water production in the long run. Basing on sand pack model used in the indoorexperiment, corresponding numerical reservoir simulation model was constructed to performnumerical simulation of controlling time in proactive controlling mode. The results ofnumerical simulation and physics experiment simulation basically have the similar trend,validating the effectiveness of the method and the reliability of the results. Experimental studyon control strategy of water flooding can guide field production and management. |