Effect of Coupling Black Oil and Compositional Reservoirs and Networks on Hydrocarbon Production and Optimization

摘要

Modeling of complex surface facility constraints and their effects on reservoir production is a real challenge, especially when reservoir fluid properties vary significantly. The goal of reservoir management is to evaluate reservoir potential and plan field development. It must maximize production and recovery by optimizing the production and injection profiles while honoring physical and economic constraints at the reservoir and gathering network levels. Field production is constrained by surface facilities, which normally dictate the actual production profile versus potential well productivity. The complexity of the modeling problem increases when compositional models are coupled with black oil reservoir models and integrated with one surface facility network. Since surface facilities are operated at temperatures and pressures that are lower than those in the reservoir, different fluid behaviors are expected at surface. Modeling of such fluid behavior at surface can be achieved through a compositional surface network, which is a main process for designing reliable surface facilities and predicting accurate properties of exported hydrocarbons. This paper discusses the results of example case studies in maximizing an objective function. For example, the oil production rate in multiple-component compositional and black oil reservoirs was coupled with compositional and black oil networks, respectively, using different balancing and optimizing techniques. The procedure for de-lumping is addressed and applied using a robust new generation field management framework, which is required for coupling of black oil reservoirs and compositional reservoirs and predicting the effect of the integrated black oil and compositional networks on hydrocarbon exports. Possible sources of uncertainties and material balance errors during delumping of fluids from black oil and compositional reservoir fluids, and their coupling and balancing with black oil and compositional network models, are also presented.