Please wait a minute...
E-mail Alert Rss
 
物探与化探  2021, Vol. 45 Issue (3): 679-685    DOI: 10.11720/wtyht.2021.1082
  方法研究·信息处理·仪器研制 本期目录 | 过刊浏览 | 高级检索 |
PNN测井清污混注水淹层剩余油饱和度计算方法
朱学娟1, 单沙沙2, 殷梓原1, 孔雪1
1.中国石油大学胜利学院 油气工程学院,山东 东营 257061
2.中国石油集团测井有限公司 油气评价中心,陕西 西安 710077
The calculation method of residual oil saturation by PNN logging in water flooded interval injected by fresh water and sewage
ZHU Xue-Juan1, SHAN Sha-Sha2, YIN Zi-Yuan1, KONG Xue1
1. Department of Oil & Gas Engineering,Shengli College,China University of Petroleum,Dongying 257061,China
2. Oil and Gas Evaluation Center,CNPC Logging Co. Ltd., Xi'an 710077,China
全文: PDF(1868 KB)   HTML
输出: BibTeX | EndNote (RIS)      
摘要 

过套管脉冲中子—中子(PNN)测井技术通过测量未被地层俘获的热中子数量来识别流体性质,解决了水淹层电性测井响应不明显以及中子寿命测井受伽马本底影响的问题。本文引入自适应遗传算法,通过选择、交叉、变异概率的设定以及在标准层中选取初始种群的方法,有效消除了多种非地质因素的影响,得到解释参数最优解;针对研究区块清污混注导致混合地层水矿化度变化大的特点,提出变参数PNN解释方法,分小层计算混合地层水宏观俘获截面,达到准确识别水淹层、大幅度提高剩余油饱和度计算精度的效果。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
朱学娟
单沙沙
殷梓原
孔雪
关键词 PNN测井水淹层剩余油饱和度自适应遗传算法    
Abstract

Pulsed neutron-neutron (PNN) logging technology through casing can identify fluid properties by measuring the number of thermal neutrons not captured by formation.It solves the problems of unclear response of electrical logging in watered-out zone and the influence of gamma background on neutron lifetime logging.In this paper,an adaptive genetic algorithm was utilized to eliminate the influence of non-geological factors and obtain the optimum solution of PNN interpretation parameters by setting the probability of selection,crossover and mutation and selecting the initial population in the standard layer.In view of the great change of salinity of mixed formation water due to interval injection by fresh water and sewage,the authors propose a variable parameter PNN interpretation method for calculating the macroscopic capture cross section of mixed formation water in small layers,so as to accurately identify the flooded layer and greatly improve the calculation accuracy of residual oil saturation.

Key wordsPNN well logging    water flooded layer    residual oil saturation    adaptive genetic algorithm
收稿日期: 2020-02-24      修回日期: 2021-01-13      出版日期: 2021-06-20
ZTFLH:  P631.8  
基金资助:中国石油大学胜利学院科技计划项目(KY2018010);山东省高等学校科技计划项目(J17KA197)
通讯作者: 单沙沙
作者简介: 朱学娟(1987-),女,山东济宁人,硕士,讲师,主要从事测井数据处理与解释方面的研究工作。
引用本文:   
朱学娟, 单沙沙, 殷梓原, 孔雪. PNN测井清污混注水淹层剩余油饱和度计算方法[J]. 物探与化探, 2021, 45(3): 679-685.
ZHU Xue-Juan, SHAN Sha-Sha, YIN Zi-Yuan, KONG Xue. The calculation method of residual oil saturation by PNN logging in water flooded interval injected by fresh water and sewage. Geophysical and Geochemical Exploration, 2021, 45(3): 679-685.
链接本文:  
https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2021.1082      或      https://www.wutanyuhuatan.com/CN/Y2021/V45/I3/679
岩性 砂岩 石灰岩 白云岩 硬石膏 泥岩
Σma变化范围 4~19 7~12 8~12 13~22 25~66
Σma常见范围 8~13 8~10 8~12 18~21 25~66
Table 1  常见岩石骨架的宏观俘获截面
Fig.1  遗传算法流程
Fig.2  研究区块产出水矿化度变化
Fig.3  PNN测井解释结果
[1] 朱学娟, 葛新民, 孔雪, 等. 砂泥岩水淹层的常规测井曲线定性识别方法[J]. 物探与化探, 2018, 42(6):1215-1220.
[1] Zhu X J, Ge X M, Kong X, et al. Qualitative identification of sandstone water flooded layer by conventional logging curves[J]. Geophysical and Geochemical Exploration, 2018, 42(6):1215-1220.
[2] 刘欢, 徐锦绣, 高文博, 等. 基于解释单元的水淹层原始电阻率反演及应用[J]. 地球物理学进展, 2019, 34(1):144-150.
[2] Liu H, Xu J X, Gao W B, et al. Original resistivity inversion of water-flooded zones based on interpretation unit and its application[J]. Progress in Geophysics, 2019, 34(1):144-150.
[3] 余鉴桥, 刘红岐, 孙杨沙, 等. GS油田$E_3^1$油藏水淹层PNN测井响应特征与评价分析[J]. 地球物理学进展, 2020, 35(3):1085-1091.
[3] Yu J Q, Liu H Q, Sun Y S, et al. PNN logging response characteristics and evaluation analysis in $E_3^1$ reservoir of GS oilfield[J]. Progress in Geophysics, 2020, 35(3):1085-1091.
[4] 王靖慈. 清污混注水淹层动静态测井评价及剩余油预测方法研究[D]. 荆州:长江大学, 2012.
[4] Wang J C. Study on methods of reservoir evaluation and remaining oil prediction based on static and dynamic logging in water flooded interval injected by fresh water and sewage[D]. Jingzhou:Yangtze University, 2012.
[5] 赵秀峰. PNN测井在肯基亚克油田适应性分析[J]. 测井技术, 2017, 41(5):606-610.
[5] Zhao X F. Adaptability of pulsed neutron neutron logging technology in foreign Kenkiyak oilfield[J]. Well Logging Technology, 2017, 41(5):606-610.
[6] 孙杨沙, 刘红岐, 田杰, 等. PNN测井在跃进油田水淹层中的应用[J]. 地球物理学进展, 2019, 34(3):1105-1112.
[6] Sun Y S, Liu H Q, Tian J, et al. Application of PNN logging in water flooded layer in Yuejinoilfield[J]. Progress in Geophysics, 2019, 34(3):1105-1112.
[7] 仲艳华. 剩余油饱和度测井方法在现场的应用分析[J]. 长江大学学报:自科版, 2015, 12(22):41-46.
[7] Zhong Y H. Application analysis of remaining oil saturation logging method in the oilfields[J]. Journal of Yangtze University:Natural Science Edition, 2015, 12(22):41-46.
[8] 孟宪涛, 夏竹君, 庄玮, 等. PNN 资料计算剩余油饱和度的参数优选方法[J]. 石油仪器, 2013, 27(3):49-51.
[8] Meng X T, Xia Z J, Zhuang W, et al. The optimum method of choosingparameters to calculate remaining oil saturation by PNN logging data[J]. Petroleum Instrumenis, 2013, 27(3):49-51.
[9] 洪有密. 测井原理与综合解释[M]. 青岛: 中国石油大学出版社, 2008:241-249.
[9] Hong Y M. Logging principles and comprehensive interpretation[M]. Qingdao: China University of Petroleum Press, 2008:241-249.
[10] 张锋. 我国脉冲中子测井技术发展综述[J]. 原子能科学技术, 2009, 43(s):116-123.
[10] Zhang F. Summary of development for Pulsed Neutron well logging technology in our country[J]. Atomic Energy Science and Technology, 2009, 43(s):116-123.
[11] 张斌. 尕斯$E_3^1$油藏PNN套后饱和度测井水淹层评价[D]. 成都:西南石油大学, 2016.
[11] Zhang B. PNN saturation log evaluation of water flooded layer in Gasikule $E_3^1$ reservoir[D]. Chengdu:Southwest Petroleum University, 2016.
[12] 张友硕. 裂缝性碳酸盐岩储层脉冲中子测井的蒙特卡罗模拟[D]. 长春:吉林大学, 2015.
[12] Zhang Y S. Monte Carlo simulation of Pulsed Neutron logging in fractured carbonate reservoir[D]. Changchun:Jilin University, 2015.
[13] 徐程宇, 王珊, 陈袁, 等. 脉冲中子—中子(PNN)测井技术在塔里木油田的应用[C]//西安石油大学、陕西省石油学会. 2016油气田勘探与开发国际会议(2016 IFEDC)论文集(上册), 2016.
[13] Xu C Y, Wang S, Chen Y, et al. Application of interwell monitoring technique by using micro substance tracer in super-deep and super-thin reservoir of Tarim Basin[C]// 2016 International Field Exploration and Development Conference in Beijing,China, 2016.
[14] 刘厚武. 脉冲中子—中子测井(PNN)解释中Σ提取方法及参数的优选[J]. 国外测井技术, 2019, 40(1):73-79.
[14] Liu H W. Σ extraction method and parameter optimization in Pulsed Neutron-Neutron logging (PNN) interpretation [J]. World Well Logging Technology, 2019, 40(1):73-79.
[15] 郑利江, 孙雅琳, 车蓉, 等. PNN+饱和度测井复杂水淹层识别[J]. 测井技术, 2019, 43(4):434-439.
[15] Zheng L J, Sun Y L, Che R, et al. Identification of complex waterflooded layers using PNN+ saturation log data[J]. Well Logging Technology, 2019, 43(4):434-439.
[16] 陈国良, 王煦法, 庄镇泉, 等. 遗传算法及其应用[M]. 北京: 人民邮电出版社, 1996.
[16] Chen G L, Wang X F, Zhuang Z Q, et al. Genetic algorithm and its application[M]. Beijing: Post and Telecom Press, 1996.
[17] 冯宪彬, 丁蕊. 改进型遗传算法及其应用[M]. 北京: 冶金工业出版社, 2016.
[17] Feng X B, Ding R. Improved genetic algorithm and its application[M]. Beijing: Metallurgical Industry Press, 2016.
[18] 王婧慈, 郭海敏. 基于标准层及改进遗传算法的剩余油测井评价[J]. 测井技术, 2012, 36(5):537-542.
[18] Wang J C, Guo H M. On the remaining oil log evaluation based on standard layer and improved adaptive genetic algorithm[J]. Well Logging Technology, 2012, 36(5):537-542.
[19] 别康, 徐观佑, 万文春, 等. 基于改进遗传算法的双感应测井反演[J]. 物探与化探, 2015, 39(5):1063-1068.
[19] Bie K, Xu G Y, Wan W C, et al. The dual induction logging inversion based on improved genetic algorithm[J]. Geophysical and Geochemical Exploration, 2015, 39(5):1063-1068.
[20] 王婧慈, 令狐松, 徐文远, 等. 水淹层混合地层水宏观俘获截面逐层计算方法[J]. 科技导报, 2013, 31(10):30-34.
[20] Wang J C, Ling H S, Xu W Y, et al. Layer-by-layer calculation of the macroscopic capture cross section of mixed formation water in water-flooded zone[J]. Science and Technology Review, 2013, 31(10):30-34.
[1] 朱学娟, 葛新民, 孔雪, 张瑞香. 砂泥岩水淹层的常规测井曲线定性识别方法[J]. 物探与化探, 2018, 42(6): 1215-1220.
[2] 汤永梅, 邹长春, 秦菲莉, 李凤琴. 利用核磁共振和双频电阻率测井评价高矿化度地层水淹层[J]. 物探与化探, 2009, 33(6): 668-673.
[3] 赵军, 程鹏飞, 刘地渊, 徐卫东. 支持向量机在水淹层测井识别中的应用[J]. 物探与化探, 2008, 32(6): 652-655.
[4] 何福祥, 朱涛, 徐苏欣, 武翼昆, 吕玉征, 赵东. 利用垂直线源电成像技术获得剩余油分布[J]. 物探与化探, 2008, 32(4): 370-373,379.
[5] 王祝文, 刘菁华, 李舟波, 陆敬安, 张建民, 郭淑梅, 王永成, 赵志宇. 判断水淹程度的碳氧比能谱测井方法研究[J]. 物探与化探, 2001, 25(1): 37-39,44.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-3
版权所有 © 2021《物探与化探》编辑部
通讯地址:北京市学院路29号航遥中心 邮编:100083
电话:010-62060192;62060193 E-mail:whtbjb@sina.com