Daoyong Yang

Integrated optimization and control of the production-injection operation systems for hydrocarbon reservoirs

This paper presents novel integrated models to analyze the production-injection operation systems (PIOS) for the reservoirs based on the concepts of systems engineering. More specifically, gas and/or water injection, reservoir and production performance, and the economic assessment are incorporated into these models. Four production operation methods are considered in the production models. The reservoir geological model is improved with time by the on-going monitoring results for better performance evaluation and prediction. The non-numerical parallel algorithms, including genetic algorithms and simulated annealing algorithms, are employed to optimize and control the nonlinear PIOS under different practical constraints throughout the life of a reservoir. A direct field application shows that the bottomhole flowing pressure, reservoir pressure, injection pressure, oil rate, gas-oil ratio and water-cut can be adjusted and optimized. Such optimized injection and production parameters maintain the reservoir pressure and ensure the optimum reservoir performance so as to slow down the flooding front in a stable way. Meanwhile, the optimized results are desirable in the field production and injection operations. Therefore, the economic benefits can be maximized and the reservoir life can be extended. A PC-based software for optimizing the overall PIOS is also developed.