石油工程

地层抗钻能力相似性评价及钻头选型新方法

  • 闫铁 ,
  • 许瑞 ,
  • 孙文峰 ,
  • 刘维凯 ,
  • 侯兆凯 ,
  • 袁圆 ,
  • 邵阳
展开
  • 1.东北石油大学,黑龙江大庆 163318;
    2.大庆油田有限责任公司第一采油厂试验大队,黑龙江大庆 163000
闫铁(1957-),男,黑龙江肇州人,东北石油大学教授,主要从事钻井岩石力学及油气井工艺理论方面的研究工作。地址:黑龙江省大庆市高新技术开发区学府街99号,东北石油大学石油工程学院,邮政编码:163318。E-mail: Yant@nepu.edu.cn

收稿日期: 2020-06-04

  修回日期: 2021-02-07

  网络出版日期: 2021-03-19

基金资助

国家科技重大专项“钻井工程一体化软件”(2016ZX05020-006)

Similarity evaluation of stratum anti-drilling ability and a new method of drill bit selection

  • YAN Tie ,
  • XU Rui ,
  • SUN Wenfeng ,
  • LIU Weikai ,
  • HOU Zhaokai ,
  • YUAN Yuan ,
  • SHAO Yang
Expand
  • 1. Northeast Petroleum University, Daqing 163318, China;
    2. Test Team of No.1 Oil Production Factory, Daqing Oilfield Limited Company, Daqing 163000, China

Received date: 2020-06-04

  Revised date: 2021-02-07

  Online published: 2021-03-19

摘要

综合考虑地层岩石抗钻特性、钻头工作条件、钻头使用效果及钻头经济效益,利用灰色关联分析理论对地层抗钻能力相似性进行评价,筛选出具有参考价值的备选钻头,然后通过构造绝对理想解、改变相对距离度量方法和引入熵权建立钻头综合性能评价新模型,进而计算备选钻头与理想钻头的贴近度并确定合理的钻头选型。研究表明,通过绝对理想解的构造、相对距离度量方法的改进及熵权的引入可以克服逼近理想解排序法(TOPSIS)无法绝对排序、存在逆序现象及权重设定不合理的固有缺陷,且计算简便、易于理解,对采用动态变化钻头数据库进行钻头选型具有很好的适应性;现场应用证明,采用钻头选型新方法优选出的钻头,在实际钻进中平均机械钻速大幅提高,钻头磨损率较低,与钻遇地层具有良好的配伍性,可作为油田优选高效、长寿及具有较好经济性钻头的技术手段。图7表2参27

本文引用格式

闫铁 , 许瑞 , 孙文峰 , 刘维凯 , 侯兆凯 , 袁圆 , 邵阳 . 地层抗钻能力相似性评价及钻头选型新方法[J]. 石油勘探与开发, 2021 , 48(2) : 386 -393 . DOI: 10.11698/PED.2021.02.15

Abstract

Considering the stratum anti-drilling ability, drill bit working conditions, drill bit application effect and drill bit economic benefits, the similarity of stratum anti-drilling ability was evaluated by grey relational analysis theory to screen out candidate drill bits with reference values. A new comprehensive performance evaluation model of drill bit was established by constructing the absolute ideal solution, changing the relative distance measurement method, and introducing entropy weight to work out the closeness between the candidate drill bits and ideal drill bits and select the reasonable drill bit. Through the construction of absolute ideal solution, improvement of relative distance measurement method and introduction of entropy weight, the inherent defects of TOPSIS decision analysis method, such as non-absolute order, reverse order and unreasonable weight setting, can be overcome. Simple in calculation and easy to understand, the new bit selection method has good adaptability to drill bit selection using dynamic change drill bit database. Field application has proved that the drill bits selected by the new drill bit selection method had significant increase in average rate of penetration, low wear rate, and good compatibility with the drilled formations in actual drilling. This new method of drill bit selection can be used as a technical means to select drill bits with high efficiency, long life and good economics in oilfields.

参考文献

[1] 张辉, 高德利. 钻头选型通用方法研究[J]. 石油大学学报(自然科学版), 2005, 29(6): 45-49.
ZHANG Hui, GAO Deli.Study on universal method of bit selection[J]. Journal of the University of Petroleum, China (Natural Sciences Edition), 2005, 29(6): 45-49.
[2] 杨仲涵, 何世明, 周晓红, 等. 国内外钻头优选方法述评[J]. 重庆科技学院学报(自然科学版), 2011, 13(4): 87-90.
YANG Zhonghan, HE Shiming, ZHOU Xiaohong, et al.Review and comments on bit selection methods at home and abroad[J]. Journal of Chongqing University of Science and Technology (Natural Sciences Edition), 2011, 13(4): 87-90.
[3] ABBAS A K, FLORI R E, ALSABA M.Estimating rock mechanical properties of the Zubair shale formation using a sonic wireline log and core analysis[J]. Journal of Natural Gas Science and Engineering, 2018, 53: 359-369.
[4] LI Y.The bit selection research on LS101[J]. Advances in Petroleum Exploration and Development, 2017, 14(1): 72-75.
[5] ETESAMI D, SHAHBAZI K.Prediction of uniaxial compressive strength of underground formations from sonic log parameters[J]. Petroleum Science and Technology, 2014, 32(13): 1641-1653.
[6] YANG M. A new approach for oil drilling bit selection with fractal theory[J]. Advanced Materials Research, 2012, 524-527: 1227-1231.
[7] 陈养龙, 席宝滨, 晁文学, 等. 顺北区块Ⅰ号断裂带钻井分层提速技术[J]. 断块油气田, 2018, 25(5): 649-652.
CHEN Yanglong, XI Baobin, CHAO Wenxue, et al.Improving drilling speed technologies by stratification for No.1 fault-zone of Shunbei block[J]. Fault-Block Oil & Gas Field, 2018, 25(5): 649-652.
[8] TOCZEK P, WISNIOWSKI R, STRYCZEK S.Total specific energy as a new indicator of drilling efficiency[J]. AGH Drilling Oil Gas, 2017, 34(3): 715-729.
[9] RABIA H, FARRELLY M, BARR M V.A new approach to drill bit selection[R]. SPE 15894-MS, 1986.
[10] 杨进, 高德利, 刘书杰, 等. 一种钻头选型新方法研究[J]. 石油钻采工艺, 1998, 20(5): 3-5.
YANG Jin, GAO Deli, LIU Shujie, et al.Research on a new method for type-selection of bit[J]. Oil Drilling & Production Technology, 1998, 20(5): 3-5.
[11] MOMENI M, RIDHA S, HOSSEINI S J, et al.Optimum drill bit selection by using bit images and mathematical investigation[J]. International Journal of Engineering, Transactions B: Applications, 2017, 30(11): 1807-1813.
[12] SUN X, WU B, YE C, et al.Bit optimization for Che 47 in Carboniferous stratum[J]. IOP Conference Series: Earth and Environmental Science, 2019, 358(4): 042014 .
[13] 赵廷峰, 周启成, 赵春艳, 等. 基于PCA-BP的钻头优选方法与应用[J]. 断块油气田, 2016, 23(2): 243-247.
ZHAO Tingfeng, ZHOU Qicheng, ZHAO Chunyan, et al.Selection and application of bit type based on PCA-BP[J]. Fault-Block Oil & Gas Field, 2016, 23(2): 243-247.
[14] 邓嵘, 丰波, 敖建章, 等. 牙轮钻头牙齿破岩效率的模糊综合评判方法[J]. 石油机械, 2016, 44(3): 6-11.
DENG Rong, FENG Bo, AO Jianzhang, et al.Fuzzy comprehensive evaluation method of cone bit teeth rock-breaking efficiency[J]. China Petroleum Machinery, 2016, 44(3): 6-11.
[15] 睢圣, 彭兴, 陈琦. 主因子分析法在钻头选型中的应用[J]. 化工管理, 2014 (29): 5, 7.
SUI Sheng, PENG Xing, CHEN Qi. Application of principal factor analysis in bit selection[J]. Chemical Enterprise Management, 2014(29): 5, 7.
[16] BILGESU H I, ALRASHIDI A F, AMINIAN K, et al.A new approach for drill bit selection[R]. SPE 65618-MS, 2000.
[17] YOU H.Preferable selection of drill bit for volcanic rock formation based on hierarchy grey relation theory[R]. Xiamen: International Conference on Pipelines and Trenchless Technology, 2014.
[18] MOMENI M S, RIDHA S, HOSSEINI S J, et al.Bit selection using field drilling data and mathematical investigation[J]. IOP Conference Series: Materials Science and Engineering, 2018, 328(1): 012008.
[19] EDALATKHAH S, RASOUL R, HASHEMI A.Bit selection optimization using artificial intelligence systems[J]. Petroleum Science and Technology, 2010, 28(18): 1946-1956.
[20] 杨建超, 姜在炳. 灰色关联分析法在乌鲁木齐矿区储层评价中的应用[J]. 中国煤炭地质, 2017, 29(10): 36-40.
YANG Jianchao, JIANG Zaibing.Application of grey relational analysis in Urumqi mining area reservoir assessment[J]. Coal Geology of China, 2017, 29(10): 36-40.
[21] 李刚伟. 基于Z-Score模型对宜人贷财务风险进行评定[J]. 价值工程, 2020, 39(21): 76-78.
LI Gangwei.The evaluation of financial risk of YRD based on Z-Score model[J]. Value Engineering, 2020, 39(21): 76-78.
[22] 赵崤含, 王德运, 诸克军. TOPSIS法在油田企业勘探开发投资一体化效益评价中的应用[J]. 数学的实践与认识, 2015, 45(10): 1-7.
ZHAO Xiaohan, WANG Deyun, ZHU Kejun.An evaluation approach for oil exploration and exploitation investment based on TOPSIS[J]. Mathematics in Practice and Theory, 2015, 45(10): 1-7.
[23] 廖炎平, 刘莉, 邢超. TOPSIS中不同规范化方法的研究[J]. 北京理工大学学报, 2012, 32(8): 871-875, 880.
LIAO Yanping, LIU Li, XING Chao.Investigation of different normalization methods for TOPSIS[J]. Transactions of Beijing Institute of Technology, 2012, 32(8): 871-875, 880.
[24] 车晴, 史弘宇. 基于熵权法和因子分析的区域经济活力模型[J]. 产业创新研究, 2020, 38(9): 23-24.
CHE Qing, SHI Hongyu.Regional economic vitality model based on entropy weight method and factor analysis[J]. Industrial Innovation, 2020, 38(9): 23-24.
[25] 周春林. 地层岩性解释及PDC钻头选型方法研究[D]. 成都: 西南石油大学, 2015.
ZHOU Chunlin.Research on formation lithology interpretation and PDC bit selection method[D]. Chengdu: Southwest Petroleum University, 2015.
[26] 候德大. 大庆油田中深井PDC钻头结构优化设计研究[D]. 大庆:东北石油大学, 2014.
HOU Deda.Research on PDC bits structure optimization design in middle-deep well of Daqing oilfield[D]. Daqing: Northeast Petroleum University, 2014.
[27] 隋梅, 孙明光. 针对地层岩性特征进行金刚石钻头优化设计和选型[J]. 西部探矿工程, 2003(7): 86-88.
SUI Mei, SUN Mingguang.Optimized design and selection of diamond drill bits according to the lithological characteristics of the formation[J]. West-China Exploration Engineering, 2003(7): 86-88.
文章导航

/