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Assessment of Optimal Operating Conditions in a SAGD Project by Design of Experiments and Response Surface Methodology

机译:通过实验设计和响应面方法评估SAGD项目的最佳运行条件

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The steam-assisted gravity drainage (SAGD) is likely the most efficient and important thermal recovery in-situ method to produce extra-heavy oil and bitumen reservoirs. Indeed, a huge expansion of commercial SAGD applications is taking place, particularly in the Alberta oil sands of Canada. Numeric reservoir simulators are available for predicting SAGD performance indicators and are used as tools to support reservoir management decisions. Those decisions are related to the selection of optimal values of controllable variables, including operating conditions such as preheating period, sub-cooling temperature, maximum steam injection pressure, maximum steam injection rate and steam quality, and temperature. In order to make unbiased decisions, the optimization process should be done considering the stochastic character of reservoir variables. However, the high computational time associated to the complex numeric solution of reservoirs under the SAGD recovery process makes the integration of reservoir uncertainty to the SAGD decision-making process an almost impossible task. Thus, a calibrated-proxy is used in this work as an efficient substitute of the numeric simulator to accomplish such a task. Design of experimental techniques and response surface methodology allowed the construction of a simple model by fitting a quadratic model to reservoir simulator outputs extracted from a chosen set of simulation cases. The main purpose of this work was to optimize the production and injection constraints of a SAGD well pair, based on an Athabasca oil sands data set, in order to maximize the net present value in presence of reservoir uncertainty. The production and injection constrains considered in the problem were: injection pressure, maximum steam flow rate, and sub-cooling temperature; and the reservoir uncertainty was represented by vertical permeability, porosity, thickness, horizontal to vertical permeability, and initial oil saturation. The results indicate that experimental design and response surface techniques are excellent tools to quickly obtain valuable information about the SAGD performance.
机译:蒸汽辅助重力排水(SAGD)可能是生产超重油和沥青储层的最有效,最重要的原位热采方法。确实,商业SAGD应用正在发生巨大的扩展,特别是在加拿大的艾伯塔省油砂中。数值油藏模拟器可用于预测SAGD性能指标,并用作支持油藏管理决策的工具。这些决定与可控制变量的最佳值的选择有关,这些变量包括操作条件,例如预热时间,过冷温度,最大蒸汽注入压力,最大蒸汽注入速率和蒸汽质量以及温度。为了做出无偏决策,应考虑储层变量的随机性来完成优化过程。但是,在SAGD恢复过程中,与储层复杂数值解相关的高计算时间使得将储层不确定度集成到SAGD决策过程中几乎是不可能的任务。因此,在这项工作中使用了校准代理作为数字模拟器的有效替代品来完成这一任务。实验技术和响应面方法的设计允许通过将二次模型拟合到从一组选定的模拟案例中提取的油藏模拟器输出中来构建简单模型。这项工作的主要目的是基于Athabasca油砂数据集优化SAGD井对的生产和注入约束条件,以便在存在储层不确定性的情况下最大化净现值。问题中考虑的生产和注入限制是:注入压力,最大蒸汽流量和过冷温度;储层的不确定性由垂直渗透率,孔隙度,厚度,水平至垂直渗透率和初始油饱和度表示。结果表明,实验设计和响应面技术是快速获取有关SAGD性能的有价值信息的出色工具。

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