[1]张贤松,谢晓庆,康晓东,等.非均质油藏聚合物驱注入参数优化方法改进与应用[J].深圳大学学报理工版,2018,35(4):362-367.[doi:10.3724/SP.J.1249.2018.04362]
　ZHANG Xiansong,XIE Xiaoqing,KANG Xiaodong,et al.An improved optimization method and application for injection parameter of polymer flooding for heterogeneous reservoir[J].Journal of Shenzhen University Science and Engineering,2018,35(4):362-367.[doi:10.3724/SP.J.1249.2018.04362]
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非均质油藏聚合物驱注入参数优化方法改进与应用()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第35卷
期数:
2018年第4期
页码:
362-367
栏目:
环境与能源
出版日期:
2018-07-10

文章信息/Info

Title:
An improved optimization method and application for injection parameter of polymer flooding for heterogeneous reservoir
作者:
张贤松1; 2; 谢晓庆1; 2; 康晓东1; 2; 陈冠中1; 2
1）海洋石油高效开发国家重点实验室，北京 100028；2）中海油研究总院有限责任公司技术研发中心，北京 100028
Author(s):
ZHANG Xiansong1; 2;  XIE Xiaoqing1; 2;  KANG Xiaodong1; 2;  and CHEN Guanzhong1; 2
1) State Key Laboratory of Offshore Oil Exploitation, Beijing 100027, P.R.China 2) Research Centre of Research Institute limited company, CNOOC, Beijing 100027, P.R.China
关键词:
油田开发; 非均质油藏; 聚合物驱; 指标函数; 优化方法; 算法应用
Keywords:
oilfield development;  heterogeneous reservoir;  polymer flooding;  index function;  optimization method;  algorithm application
分类号:
TE 345
DOI:
10.3724/SP.J.1249.2018.04362
文献标志码:
A
摘要:
聚合物驱注入参数优化是提高非均质油藏聚合驱技术效果和经济效益的关键技术之一．聚合物驱注入参数优化属于复杂的大规模最优化问题，目前仍缺乏与之相适应的高效求解算法，严重限制了注入参数优化方法的研究与应用．本研究通过理论推导得到由有限差分随机逼近方法(finite difference of stochastic approximation, FDSA)引导的随机扰动逼近改进新算法（simultaneous perturbation stochastic approximation algorithm, SPSA-FDG），可提高计算收敛速度，在迭计算过程中，各控制变量近似梯度大小比例与FDSA算法类似，梯度估计精度高于SPSA算法，并保留了SPSA算法每次迭代计算次数少的优点．实例应用表明，SPSA-FDG算法迭代收敛时需要248次油藏数值模拟计算，明显少于FDSA算法和SPSA算法．此外，在聚合物驱注入总量不变条件下，通过应用改进算法和油藏数值模拟手段，优化聚合物驱每一段塞下的最优注入浓度和段塞尺寸，得到的聚合物驱优化注入方案净现值比均匀注聚方案提高11.64%，使得油田开发技术经济效果最大化．
Abstract:
Injection parameter optimization is one of key technologies for improving the technical and economical performance of polymer flooding for heterogeneous reservoir. However, the injection parameter optimization is a kind of complex large-scale optimization problems, there still lacks efficient solving method. Therefore, a new method is put forward of perturbation approximation algorithm (SPSA-FDG). It calculate the approximate gradient ratio of each control variable similar to that of FDSA algorithm in the iteration process, guided by finite difference method of stochastic approximation (FDSA) random. The studies show that the precision of gradient estimation of SPSA-FDG algorithm is higher than that of SPSA algorithm, its convergence is better than FDSA and SPSA algorithm. At the same time, SPSA-FDG algorithm keeps the advantages of SPSA algorithm which has only twice times of the reservoir numerical simulation at each iteration. Under the condition of the same polymer injection amount, the net present value of optimal polymer flooding injection scheme by the SPSA-FDG algorithm is 11.64% higher than that of uniformity design, which makes the better economic results of Polymer flooding.

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更新日期/Last Update: 2018-06-20