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Signal acquisition method for 3D seismic exploration in high density coal mining area

  • GMGDA 2019
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

The mining work in high-density coal mining areas has gradually extended to deep strata, and 3D seismic exploration technology plays a key role in the exploration of deep coal resources. Collecting high-quality 3D seismic exploration signals is the prerequisite for accurate analysis of deep coal distribution. Taking the L-city high-density coal mining area as the study area, the arrangement position of the measuring line is determined. The best excitation parameters excited by seismic waves were determined by 3D seismic test, and the optimal well depth and optimum gunpowder amount are determined as follows: the depth of the well in the thin soil covered area is 4 m deep and the dose is 2 kg; the well depth of the bedrock exposed area is 4 m and the dose is 2 kg. The positional relationship between the excitation point and the reception point is described by the three-dimensional seismic observation system. The DSU1 new generation all-digital detector converts seismic waves transmitted to the ground into electrical signals. Finally, a three-dimensional seismic survey signal is obtained. The results show that the 3D seismic survey signal collected by this method has low distortion and clearly shows the variation law of thickness profile, which has positive guiding significance for coal mining in the later stage.

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References

  • Alqahtani FA, Jackson CAL, Johnson HD, Som MRB (2017) Controls on the geometry and evolution of humid-tropical fluvial systems: insights from 3D seismic geomorphological analysis of the Malay basin, Sunda shelf, Southeast Asia. J Sediment Res 87:17–40

    Article  Google Scholar 

  • Blouin M, Ravalec ML, Gloaguen E, Adelinet M (2017) Porosity estimation in the fort worth basin constrained by 3D seismic attributes integrated in a sequential bayesian simulation framework. Geophysics 82:1–72

    Article  Google Scholar 

  • Dang XY, Wang JF, Ma DM (2017) Design of data acquisition module for power battery management system. Chin J Power Sources 41:1179–1182

    Google Scholar 

  • Ding MQ, Hu ZA, Li JN, Zhou HP, Hu XW (2017) Experimental study on vibroseis seismic exploration in urban underground fault structure. Comput Tech Geophys Geochem Explor 39:565–572

    Google Scholar 

  • Grandin R, Doin MP, Bollinger L, Puysségur B (2017) Long-term growth of the Himalaya inferred from interseismic InSAR measurement. Geology 40:1059–1062

    Article  Google Scholar 

  • Haavik KE, Landro M (2017) Variable source depth acquisition for (an overall) improved signal-to-noise ratio in marine broadband seismic data: a modeling study. Geophysics 82:1–34

    Article  Google Scholar 

  • Hu DD, Dong SG (2017) Simulation of the remote experiment data collection method research. Comput Simul 34:86–189

    Google Scholar 

  • Khan S, Meijde MVD, Werff HVD, Shafique M (2017) Impact of mesh and DEM resolutions in SEM simulation of 3D seismic response. Bull Seismol Soc Am 107:2151–2159

    Article  Google Scholar 

  • Krohn CE (2018) Seismic data acquisition. Handbook of Signal Processing in Acoustics 8: 1545–1558

  • Li ZQ, Sun W, Wang B, Jiang ZW, Cheng G, Chang YQ (2017) The research of high resolution 3D exploitation seismic tests of subtle reservoir in B3 area of Binnan oil field. Comput Tech Geophys Geochem Explor 39:266–274

    Google Scholar 

  • Liang JQ, Meng SW, Lu WS, Fu P (2017) CPCI-based dedicated measurement system with automatic calibration for complicated hybrid signals. J China Acad Electron Group Technol 12:187–192

    Google Scholar 

  • Martin E, Huot F, Ma YB, Cieplicki R (2018) A seismic shift in scalable acquisition demands new processing: fiber-optic seismic signal retrieval in urban areas with unsupervised learning for coherent noise removal. IEEE Signal Process Mag 35:31–40

    Article  Google Scholar 

  • Payani A, Abdi A, Tian X, Fekri F (2018) Advances in seismic data compression via learning from data: compression for seismic data acquisition. IEEE Signal Process Mag 35:51–61

    Article  Google Scholar 

  • Shi YL, He ZX, Hu ZZ, Wei Q, Li DC, Meng CX, Ji LS, Zhang S (2018) Mapping deep targets based on integrated 3D MT-gravity interpretation: a case study. Stud Geophys Geod 62:167–185

    Article  Google Scholar 

  • Siahsar MAN, Gholtashee S, Kahoo AR, Chen W (2017) Data-driven multitask sparse dictionary learning for noise attenuation of 3D seismic data. Geophysics 82(6):V385–V396

    Article  Google Scholar 

  • Sidler R, Carcione JM, Holliger K (2017) A pseudospectral method for the simulation of 3-D ultrasonic and seismic waves in heterogeneous poroelastic borehole environments. Geophys J Int 196:1134–1151

    Article  Google Scholar 

  • Wang H, Song SY (2017) Image classification based on KCPA feature extraction and RVM. J Jilin Univ (Sci Ed) 55:57–362

    Google Scholar 

  • Wang DX, Li J, Meng KX (2017) Seismic random noise suppression based on C-WNNM method. J Jiangsu Univ (Nat Sci Ed) 38:192–196

  • Xie XM (2018) Research on the intelligent detection technology of pronunciation errors in spoken English test system. Autom Instrum 230:64–67

    Google Scholar 

  • Yuan YH, Luo YY, Ye F, Zeng GF, Zhu ZW, Wang GQ (2017) R&D of critical components for high speed maglev track online inspection system. J Power Supply 15:46–51

    Google Scholar 

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Correspondence to Xiaodong Pei.

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This article is part of the Topical Collection on Geological Modeling and Geospatial Data Analysis

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Pei, X. Signal acquisition method for 3D seismic exploration in high density coal mining area. Arab J Geosci 13, 712 (2020). https://doi.org/10.1007/s12517-020-05599-x

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  • DOI: https://doi.org/10.1007/s12517-020-05599-x

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