热注入方法通常用于高粘度油藏。先前研究结果表明，蒸汽驱（SF）和周期性蒸汽刺激（CSS）的结合可以最大程度地提高油回收率，但还需要进一步研究以确定最优策略。本工作旨在优化印度尼西亚苏门答腊一个重油油田的CSS-SF联合应用的开发方案。回收因子和净现值（NPV）成为目标函数，研究了多个给定和受控参数对目标函数的敏感性。基于二次多元回归的代理模型被开发出来，以评估和获得所需的目标函数。使用CMG-STARS模拟器进行热恢复过程的油藏模拟。通过CMOST™模块进行方案优化的工作流程。通过最大化目标函数获得最优开发方案。这项工作表明，结合代理模型开发和优化结果，可以为重油回收的CSS-SF联合应用提供最佳方案。
CMG软件应用情况：
CMG-STARS模拟器用于蒸汽驱蒸汽吞吐的油藏模拟。CMOST™模块进行优化工作流程（包括敏感性分析、代理模型开发和优化）。
作者单位：
- 印度尼西亚德波克的UPN Veteran Yogyakarta石油工程系、化学工程系
- 印度尼西亚万隆理工学院石油工程系。
Abstract
Thermal injection methods are usually used for high viscosity oil. The results of previous studies showed that the combination of SF and SFF had the highest increase in oil recovery but still requires further study to determine the optimum strategy. This work is purposed to optimize the development scenario of a combined CSS-SF applied to a heavy oil feld located in Sumatera, Indonesia. The recovery factor and NPV become the objective function, and several given and controlled parameters sensitivity toward the objective function are studied. A proxy model based on quadratic multivariate regression is developed to evaluate and get the desired objective function. The reservoir simulation of the thermal recovery process is done using CMG-STARS simulator. The overall workfow of scenario optimization is conducted using CMOST™ module. Optimum development scenario is obtained through maximization of the objective function. This work shows that the combination of proxy model development and optimization results in the best scenario of combined CSS-SF for heavy oil recovery.
Keywords: Steam fooding (SF) and Cyclic steam stimulation (CSS) · Heavy oil reservoir · Proxy model · Recovery factor ·NPV
