Assessment and Optimization of Waterflooding Performance in a Hydrocarbon Reservoir

Miracle Imwonsa Osatemple, A. Adeniyi, A. Giwa
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Abstract

In order to properly meet up with the ever-increasing demand for petroleum products worldwide, it has become increasingly necessary to produce oil and gas fields more economically and efficiently. Waterflooding is currently the most widely used secondary recovery method to improve oil recovery after primary depletion. A crucial component required to conduct an efficient waterflooding operation is an optimal production setting, most especially with respect to the amount of water involved. This research work has been carried out to develop a model that can be used to maximize oil recovery and minimize water production with the least amount and number of waterflood variables in order to minimize the secondary recovery investment cost. The gradient-based approach to optimize the production and net present value (NPV) from a waterflood reservoir using the flow rates or bottom hole pressures of the production wells as the controlling factors with the use of smart well technology was applied. In this approach, a variant of the optimal switching time technique was used in the optimization process to equalize the arrival times of the waterfront at multiple producers, thereby increasing the cumulative oil production. The optimization procedure involved maximizing the objective function (NPV) by adjusting a set of manipulated variables (flow rates). The optimal pressure profile of the waterflood scenario that gave the maximum NPV was obtained as the solution to the waterflood problem. The proposed optimization methodology was applied to a waterflood process carried out on a reservoir field developed by a five-spot recovery design in the Niger Delta area of Nigeria, which was used as a case study. The forward run was carried out with a commercial reservoir oil simulator. The results of the waterflood optimization revealed that an increase in the net present value of up to 9.7% and an increase in cumulative production of up to 30% from the base case could be achieved.
某油藏水驱效果评价与优化
为了满足世界范围内对石油产品日益增长的需求,提高油气田开采的经济性和高效性已成为当务之急。水驱是目前应用最广泛的提高一次衰竭后采收率的二次采油方法。进行高效水驱作业所需的一个关键组成部分是最佳的生产环境,尤其是涉及到的水量。本研究的目的是建立一种以最少数量的水驱变量实现最大采收率和最小出水量的模型,从而最大限度地降低二次采收率投资成本。利用智能井技术,以生产井的流量或井底压力为控制因素,采用基于梯度的方法来优化水驱油藏的产量和净现值(NPV)。在该方法中,优化过程中使用了一种最优切换时间技术的变体,以平衡多个生产商的滨水到达时间,从而增加累积产油量。优化过程包括通过调整一组操纵变量(流量)来最大化目标函数(NPV)。得到了最大净现值的注水方案的最优压力剖面,作为注水问题的解决方案。将提出的优化方法应用于尼日利亚尼日尔三角洲地区一个采用5点采油设计的油藏的注水过程,并将其作为案例研究。在商用油藏油模拟器上进行了预演。注水优化的结果表明,与基本情况相比,净现值可提高9.7%,累计产量可提高30%。
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