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

  • Tie YAN ,
  • Rui XU ,
  • Wenfeng SUN ,
  • Weikai LIU ,
  • Zhaokai HOU ,
  • Yuan YUAN ,
  • Yang SHAO
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: 2021-04-22

Supported by

China National Science and Technology Major Project(2016ZX05020-006)

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.

Cite this article

Tie YAN , Rui XU , Wenfeng SUN , Weikai LIU , Zhaokai HOU , Yuan YUAN , Yang SHAO . Similarity evaluation of stratum anti-drilling ability and a new method of drill bit selection[J]. Petroleum Exploration and Development, 2021 , 48(2) : 450 -459 . DOI: 10.1016/S1876-3804(21)60036-8

References

[1] ZHANG Hui, GAO Deli. Study on universal method of bit selection. Journal of the University of Petroleum, China (Natural Sciences Edition), 2005,29(6):45-49.
[2] YANG Zhonghan, HE Shiming, ZHOU Xiaohong, et al. Review and comments on bit selection methods at home and abroad. 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. Journal of Natural Gas Science and Engineering, 2018,53:359-369.
[4] LI Y. The bit selection research on LS101. 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. Petroleum Science and Technology, 2014,32(13):1641-1653.
[6] YANG M. A new approach for oil drilling bit selection with fractal theory. Advanced Materials Research, 2012,524-527:1227-1231.
[7] CHEN Yanglong, XI Baobin, CHAO Wenxue, et al. Improving drilling speed technologies by stratification for No.1 fault-zone of Shunbei block. 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. AGH Drilling Oil Gas, 2017,34(3):715-729.
[9] RABIA H, FARRELLY M, BARR M V. A new approach to drill bit selection. SPE 15894-MS, 1986.
[10] YANG Jin, GAO Deli, LIU Shujie, et al. Research on a new method for type-selection of bit. 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. 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. IOP Conference Series: Earth and Environmental Science, 2019,358(4):042014 .
[13] ZHAO Tingfeng, ZHOU Qicheng, ZHAO Chunyan, et al. Selection and application of bit type based on PCA-BP. Fault-Block Oil & Gas Field, 2016,23(2):243-247.
[14] DENG Rong, FENG Bo, AO Jianzhang, et al. Fuzzy comprehensive evaluation method of cone bit teeth rock- breaking efficiency. China Petroleum Machinery, 2016,44(3):6-11.
[15] SUI Sheng, PENG Xing, CHEN Qi. Application of principal factor analysis in bit selection. 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. SPE 65618-MS, 2000.
[17] YOU H. Preferable selection of drill bit for volcanic rock formation based on hierarchy grey relation theory. 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. 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. Petroleum Science and Technology, 2010,28(18):1946-1956.
[20] YANG Jianchao, JIANG Zaibing. Application of grey relational analysis in Urumqi mining area reservoir assessment. Coal Geology of China, 2017,29(10):36-40.
[21] LI Gangwei. The evaluation of financial risk of YRD based on Z-Score model. Value Engineering, 2020,39(21):76-78.
[22] ZHAO Xiaohan, WANG Deyun, ZHU Kejun. An evaluation approach for oil exploration and exploitation investment based on TOPSIS. Mathematics in Practice and Theory, 2015,45(10):1-7.
[23] LIAO Yanping, LIU Li, XING Chao. Investigation of different normalization methods for TOPSIS. Transactions of Beijing Institute of Technology, 2012,32(8):871-875, 880.
[24] CHE Qing, SHI Hongyu. Regional economic vitality model based on entropy weight method and factor analysis. Industrial Innovation, 2020,38(9):23-24.
[25] ZHOU Chunlin. Research on formation lithology interpretation and PDC bit selection method. Chengdu: Southwest Petroleum University, 2015.
[26] HOU Deda. Research on PDC bits structure optimization design in middle-deep well of Daqing oilfield. Daqing: Northeast Petroleum University, 2014.
[27] SUI Mei, SUN Mingguang. Optimized design and selection of diamond drill bits according to the lithological characteristics of the formation. West-China Exploration Engineering, 2003(7):86-88.
Outlines

/