Special Oil & Gas Reservoirs >

2025 , Vol. 32 >Issue 5: 159 - 166

DOI: https://doi.org/10.3969/j.issn.1006-6535.2025.05.019

Drilling & Production Engineering

Hydraulic fracturing microseismic source localization method based on dung beetle optimizer with differential evolution

  • XU Xingsheng ,
  • LI Wei ,
  • ZHANG Yan ,
  • WANG Min ,
  • ZHAO Huan ,
  • WANG Jianbo ,
  • WANG Siqi ,
  • HE Tiansu
Expand
  • 1. Northeast Petroleum University, Daqing, Heilongjiang 163318, China;
    2. National Engineering Research Center for Oil and Gas Drilling and Completion Technology, Beijing, 102206, China

Received date: 2024-09-04

  Revised date: 2025-08-01

  Online published: 2025-10-30

Fold

Abstract

To improve the positioning accuracy under unstable first arrival time conditions of microseismic events in hydraulic fracturing, a Dung Beetle Optimizer with Differential Evolution (DE-DBO) algorithm was established by combining the Dung Beetle Optimizer (DBO) and the Time Difference of Arrival (TDOA) velocity model. This algorithm initializes the initial positions of dung beetles through Bernoulli chaotic mapping on the basis of the standard DBO to improve population diversity, uses differential evolution algorithm to enhance the global search ability of DBO, and uses the Levy flight strategy to improve the diversity of group search and guide the search algorithm to jump out of local optima. The simulation results show that when the wave velocity fluctuates within the range of ±1%, ±3%, and ±5%, DE-DBO has smaller root mean square error and absolute error. Its positioning accuracy, convergence speed, and algorithm stability are better than those of the traditional standard DBO, particle swarm optimization, and genetic algorithm. The research results not only improve the accuracy and stability of microseismic positioning under uncertain velocity models but also have great significance for fracture dynamic monitoring and fracturing effect evaluation at hydraulic fracturing sites.

Key words： microseismic monitoring; seismic source location; dung beetle algorithm; swarm intelligence algorithm; hydraulic fracturing

Cite this article

XU Xingsheng , LI Wei , ZHANG Yan , WANG Min , ZHAO Huan , WANG Jianbo , WANG Siqi , HE Tiansu . Hydraulic fracturing microseismic source localization method based on dung beetle optimizer with differential evolution[J]. Special Oil & Gas Reservoirs, 2025 , 32(5) : 159 -166 . DOI: 10.3969/j.issn.1006-6535.2025.05.019

References

[1] 杨升宇,张金川,黄卫东,等.吐哈盆地柯柯亚地区致密砂岩气储层“甜点”类型及成因[J].石油学报,2013,34(2):272-282.
YANG Shengyu,ZHANG Jinchuan,HUANG Weidong,et al.“Sweet spot”types of reservoirs and genesis of tight sandstone gas in Kekeya Area,Turpan-Hami Basin[J].Acta Petrolei Sinica,2013,34(2):272-282.
[2] 李全贵,邓羿泽,胡千庭,等.煤岩水力压裂物理试验研究综述及展望[J].煤炭科学技术,2022,50(12):62-72.
LI Quangui,DENG Yize,HU Qianting,et al.Review and prospect of coal rock hydraulic fracturing physical experimental research[J].Coal Science and Technology,2022,50(12):62-72.
[3] 王磊,万绪新,史洪兵,等.大排列微地震实时监测技术在页岩油水力压裂中的应用[J].石油地球物理勘探,2024,59(3):523-532.
WANG Lei,WAN Xuxin,SHI Hongbing,et al.Application of large-array microseismic real-time monitoring technique in hydraulic fracturing of shale oil[J].Oil Geophysical Prospecting,2024,59(3):523-532.
[4] 吴奇,胥云,张守良,等.非常规油气藏体积改造技术核心理论与优化设计关键[J].石油学报,2014,35(4):706-714.
WU Qi,XU Yun,ZHANG Shouliang,et al.The core theories and key optimization designs of volume stimulation technology for unconventional reservoirs[J].Acta Petrolei Sinica,2014,35(4):706-714.
[5] 梁北援,常力,房大志,等.微地震及其监测综述——走向基于低信噪比的微破裂向量扫描[J].地球物理学进展,2023,38(1):47-75.
LIANG Beiyuan,CHANG Li,FANG Dazhi,et al.Microseismic and its monitoring:toward vector scanning of microseismic based on lower signal-to-noise ratio[J].Progress in Geophysics,2023,38(1):47-75.
[6] 万永革,李鸿吉.遗传算法在确定震源位置中的应用[J].地震地磁观测与研究,1995,16(6):1-7.
WAN Yongge,LI Hongji.The preliminary study on the seismic hypocenter location using genetic algorithms[J].Seismological and Geomagnetic Observation and Research,1995,16(6):1-7.
[7] 崔喆,李含阳,郑路佳,等.水力压裂微地震反演方法综述[J].吉林大学学报(信息科学版),2023,41(4):653-666.
CUI Zhe,LI Hanyang,ZHENG Lujia,et al.Review of microseismic inversion methods for hydraulic fracturing[J].Journal of Jilin University(Information Science Edition),2023,41(4):653-666.
[8] 王泉栋,李国和,吴卫江,等.多种群遗传算法在微震震源定位中的应用[J].计算机测量与控制,2015,23(4):1285-1288.
WANG Quandong,LI Guohe,WU Weijiang,et al.Application of multiple-population genetic algorithm in micro-seismic source location[J].Computer Measurement & Control,2015,23(4):1285-1288.
[9] 李楠,王恩元,孙珍玉,等.基于L1范数统计的单纯形微震震源定位方法[J].煤炭学报,2014,39(12):2431-2438.
LI Nan,WANG Enyuan,SUN Zhenyu,et al.Simplex microseismic source location method based on L1 norm statistical standard[J].Journal of China Coal Society,2014,39(12):2431-2438.
[10] 郭一楠,崔宁,程健.基于MOPSO-SA混合算法的矿山微震震源定位方法[J].煤炭科学技术,2020,48(3):126-132.
GUO Yi′nan,CUI Ning,CHENG Jian.Microseismic source localization method based on hybrid algorithm of MOPSO-SA[J].Coal Science and Technology,2020,48(3):126-132.
[11] 罗浩,于靖康,潘一山,等.基于海鸥优化的分位数差值矿震定位方法研究[J].地球物理学进展,2022,37(1):421-429.
LUO Hao,YU Jingkang,PAN Yishan,et al.Seagull optimization based on quantile difference mine earthquake location method[J].Progress in Geophysics,2022,37(1):421-429.
[12] 达姝瑾,李学贵,王闯,等.改进粒子群优化的微地震震源定位方法研究[J/OL].控制工程, 2024:1-9.[2025-08-01].https://kns.cnki.net/kcms2/article/abstract?v=i9XsIId0T112R6n1XVJA0bGpW-Ad1qUWGX5nRhP-wgYc_bTfom5iKbAIODRyroXPUxWoi5_h0rp8Go3SMwzHv8uhZ_RVkKZVJZbJaVXAJrxXdVch30mYtu2QRWAK4OfTZM7jnE32DM06KI2I_DP9kYg0BJdKv6ipzleNyYJAUshKEi0hKSBSsQ==&uniplatform=NZKPT&language=CHS
DA Shujin,LI Xuegui,WANG Chuang,et al.Research on microseismic source localization method using improved particle swarm optimization[J].Control Engineering,2024:1-9.[2025-08-01].https://kns.cnki.net/kcms2/article/abstract?v=i9XsIId0T112R6n1XVJA0bGpW-Ad1qUWGX5nRhP-wgYc_bTfom5iKbAIODRyroXPUxWoi5_h0rp8Go3SMwzHv8uhZ_RVkKZVJZbJaVXAJrxXdVch30mYtu2QRWAK4OfTZM7jnE32DM06KI2I_DP9kYg0BJdKv6ipzleNyYJAUshKEi0hKSBSsQ==&uniplatform=NZKPT&language=CHS
[13] LAGOS S R,VELIS D R.Microseismic event location using global optimization algorithms:an integrated and automated workflow[J].Journal of Applied Geophysics,2018,149:18-24.
[14] LIANG C,YU Y,YANG Y,et al.Joint inversion of source location and focal mechanism of microseismicity[J].Geophysics,2016,81(2):41-49.
[15] GRIGOLI F,CESCA S,KRIEGER L,et al.Automated microseismic event location using master-event waveform stacking[J].Scientific reports,2016,6(1):25744.
[16] SUN Y,HO K C,WAN Q.Solution and analysis of TDOA localization of a near or distant source in closed form[J].IEEE Transactions on Signal Processing,2018,67(2):320-335.
[17] XUE J K,SHEN B.Dung beetle optimizer:a new meta-heuristic algorithm for global optimization[J].The Journal of Supercomputing,2023,79(7):7305-7336.
[18] KOHLI M,ARORA S.Chaotic grey wolf optimization algorithm for constrained optimization problems[J].Journal of Computational Design and Engineering,2018,5(4):458-472.
Options
Outlines

/

〈 〉