Optimal Scheduling for Cyclic Steam Injection Projects

In a heavy oil field producing through cyclic steam stimulation, one of the most complex and time spending tasks, for the reservoir team, is scheduling steam injection across the field. Because there are so many wells, optimizing steam quota and soaking time are usually calculated or simulated for a well, defined as representative for the entire field or at least for an area. That method optimizes the steam stimulation for each cycle of the representative well, but not necessarily optimizes the net present value or reserves for the entire field. Optimizing an entire field through numerical simulation can be frustrating as it consumes lots of time and requires expensive computational infrastructure. This paper shows that analytical methods can be used to optimize net present value (NPV) or reserves in a heavy oil field through massive computing in a probabilistic approach in a much shorter time than it would be done with a numerical simulator, above all in an uncertainty assessment. It can help, also, to analyze the economical convenience of buying new steam generators or moving them between fields or areas.

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Optimizing Steam Injection Scheduling Using Analytical Models in a Probabilistic Approach

Oliveira

Gomes

Cavalcante

et al. 2015

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Optimization Methodology for Cyclic Steam Injection with Horizontal Wells

et al. 2000

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractHorizontal wells are becoming a very important component in the thermal recovery of heavy oil reservoirs. The success of a cyclic steam injection project depends strongly on the selection of key parameters, such as cycle length and amount of steam injected. The numerical simulation of horizontal wells, especially under non-isothermal conditions, is computationally demanding. When optimization is combined with numerical simulation, the computing time requirement may be prohibitive and it is not guaranteed that the optimal conditions will be found.In this research, a new methodology has been developed for optimizing the cyclic steam injection process for vertical and horizontal wells. The procedure integrates oil production characterization using numerical simulation, net present value maximization through a Quasi-Newton method, and model validation/tuning. The three-stage procedure provides the optimum number and/or duration of cycles, the optimal amounts of steam to be injected in each cycle and the optimal value of the overall economic indicator.The optimization algorithm was successfully validated with published results obtained from the discrete maximum principle. The methodology was then applied to determine the optimal conditions of cyclic steam injection for a horizontal well located in Bachaquero field, Venezuela.

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Optimal Scheduling for Cyclic Steam Injection Projects

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Optimizing Steam Injection Scheduling Using Analytical Models in a Probabilistic Approach

Optimizing Steam Injection Scheduling Using Analytical Models in a Probabilistic Approach

Optimization Methodology for Cyclic Steam Injection with Horizontal Wells

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