[1] |
李宜强, 张津, 潘登, 等. 高含水期微观剩余油赋存规律:以大港油田小集区块和港西区块为例[J]. 新疆石油地质, 2021, 42(4):444-449.
|
|
LI Yiqiang, ZHANG Jin, PAN Deng, et al. Occurrence laws of microscopic remaining oil in high water-cut reservoirs:a case study on Blocks Xiaoji and Gangxi in Dagang oilfield[J]. Xinjiang Petroleum Geology, 2021, 42(4):444-449.
|
[2] |
高珍妮. 特高含水期水驱开发效果评价方法[D]. 北京: 中国石油大学(北京), 2019.
|
|
GAO Zhenni. Evaluation method for water flooding development effect in extra high water cut period[D]. Beijing: China University of Petroleum(Beijing), 2019.
|
[3] |
陈省身. 杏六区薄差层基于相渗的水驱开发指标规律研究[D]. 黑龙江大庆: 东北石油大学, 2021.
|
|
CHEN Xingshen. Study on the law of water drive development index based on relative permeability of thin and poor layers in Xing 6 area[D]. Heilongjiang: Northeast Petroleum University, 2021.
|
[4] |
李传亮, 王凤兰, 杜庆龙, 等. 砂岩油藏特高含水期的水驱特征[J]. 岩性油气藏, 2021, 33(5):163-171.
|
|
LI Chuanliang, WANG Fenglan, DU Qinglong, et al. Water displacement rules of sandstone reservoirs at extra-high water-cut stage[J]. Lithologic Reservoirs, 2021, 33(5):163-171.
|
[5] |
梁爽. 大庆油田杏六区薄差层有效动用界限及技术政策界限研究[D]. 黑龙江大庆: 东北石油大学, 2014.
|
|
LIANG Shuang. The thin and poor pay zones effective producing limitation and technology policy limitation research on Xing-6 blocks of Daqing oil field[D]. Daqing,Heilongjiang: Northeast Petroleum University, 2014.
|
[6] |
张国威. 非均质砂岩油藏注水开发矢量性特征及优化匹配研究[D]. 武汉: 中国地质大学, 2021.
|
|
ZHANG Guowei. Research on optimal matching of vector characteristics in water-flooding heterogeneous sandstone reservoir[D]. Wuhan: China University of Geosciences, 2021.
|
[7] |
王九龙. 非均质厚油层挖潜剩余油有效驱动单元渗流理论研究及应用[D]. 北京: 北京科技大学, 2021.
|
|
WANG Jiulong. Research and application of effective driving unitflow theory for tapping the potential of remaining oil in heterogeneous thick reservoir[D]. Beijing: University of Science and Technology Beijing, 2021.
|
[8] |
程晓军. 超深断溶体油藏油井见水特征及生产制度优化:以塔里木盆地顺北油田Z井为例[J]. 新疆石油地质, 2021, 42(5):554-558.
|
|
CHENG Xiaojun. Characteristics of water breakthrough and optimization of production system of oil wells drilled in ultra-deep fault-karst reservoirs:a case study on Well Z in Shunbei oilfield,Tarim basin[J]. Xinjiang Petroleum Geology, 2021, 42(5):554-558.
|
[9] |
闫霞, 李阳, 姚军, 等. 基于改进单纯形梯度算法的油藏生产优化[J]. 油气地质与采收率, 2013, 20(3):65-67.
|
|
YAN Xia, LI Yang, YAO Jun, et al. Reservoir production optimization method based on modified simplex gradient algorithm[J]. Petroleum Geology and Recovery Efficiency, 2013, 20(3):65-67.
|
[10] |
闫霞. 基于梯度逼真算法的油藏生产优化理论研究[D]. 山东青岛: 中国石油大学(华东), 2013.
|
|
YAN Xia. Theoretical research of reservoir production optimization based on gradient approximation method[D]. Qingdao,Shandong: China University of Petroleum(East China), 2013.
|
[11] |
CHEN Chaohui, LI Gaoming, REYNOLDS A C. Robust constrained optimization of short-and long-term net present value for closed-loop reservoir management[J]. SPE Journal, 2012, 17(3):849-864.
doi: 10.2118/141314-PA
|
[12] |
SARMA P, CHEN W H. Applications of optimal control theory for efficient production optimisation of realistic reservoirs[R]. IPTC-12480-MS, 2008.
|
[13] |
SARMA P, DURLOFSKY L J, AZIZ K, et al. Efficient real-time reservoir management using adjoint-based optimal control and model updating[J]. Computational Geosciences, 2006, 10(1):3-36.
doi: 10.1007/s10596-005-9009-z
|
[14] |
边霞, 米良. 遗传算法理论及其应用研究进展[J]. 计算机应用研究, 2010, 27(7):2 425-2 429.
|
|
BIAN Xia, MI Liang. Development on genetic algorithm theory and its applications[J]. Application Research of Computers, 2010, 27(7):2 425-2 429.
|
[15] |
杜丽, 吕利叶, 孙伟, 等. 一种适用于约束空间的拉丁超立方取点策略[J]. 机械设计与制造, 2021, 59(8):43-47.
|
|
DU Li, LV Liye, SUN Wei, et al. An Latin hypercube sampling approach for constrained design space[J]. Machinery Design & Manufacture, 2021, 59(8):43-47.
|
[16] |
张青凤. 遗传算法在最优化问题中的应用研究[J]. 山西师范大学学报(自然科学版), 2014, 28(1):38-42.
|
|
ZHANG Qingfeng. Research on application of genetic algorithm in optimization problem[J]. Journal of Shanxi Normal University(Natural Science Edition), 2014, 28(1):38-42.
|
[17] |
ZHAO Jinquan, ZHANG Chenlu. A probabilistic optimal power flow calculation method with Latin hypercube sampling[J]. Advanced Materials Research, 2014, 918:183-190.
doi: 10.4028/www.scientific.net/AMR.918.183
|
[18] |
ZHAO Wei, CHEN Yangyang, LIU Jike. Reliability sensitivity analysis using axis orthogonal importance Latin hypercube sampling method[J]. Advances in Mechanical Engineering, 2019, 11(1):1-17.
|
[19] |
SUN Tianjian, SHI Junfeng, YU Xinghe. Adaptive simulated annealing genetic algorithm for optimizing injection-production parameters of steam flood well[J]. Advanced Materials Research, 2011, 1442:1 855-1 859.
|
[20] |
郭彩杏, 郭晓金, 柏林江. 改进遗传模拟退火算法优化BP算法研究[J]. 小型微型计算机系统, 2019, 40(10):2 063-2 067.
|
|
GUO Caixing, GUO Xiaojin, BO Linjiang. Research on improved BP algorithm for genetic simulated annealing algorithm[J]. Journal of Chinese Computer Systems, 2019, 40(10):2 063-2 067.
|
[21] |
张大科. 改进的自适应遗传算法的研究与应用[D]. 昆明: 昆明理工大学, 2019.
|
|
ZHANG Dake. Research and application of improved adaptive genetic algorithm[D]. Kunming: Kunming University of Science and Technology, 2019.
|
[22] |
张宇. 多模型随机近似扰动算法的应用[J]. 化工管理, 2017, 32(32):68.
|
|
ZHANG Yu. Application of multi-model stochastic approximate perturbation algorithm[J]. Chemical Enterprise Management, 2017, 32(32):68.
|
[23] |
万琦. 基于最优控制与SPSA算法的水驱油藏优化方法研究[D]. 成都: 西南石油大学, 2015.
|
|
WAN Qi. Study on optimization method of water drive reservoir based on optimal control and SPSA algorithm[D]. Chengdu: Southwest Petroleum University, 2015.
|