Register      Login
Exploration Geophysics Exploration Geophysics Society
Journal of the Australian Society of Exploration Geophysicists
RESEARCH ARTICLE

Automatic first-arrival picking based on extended super-virtual interferometry with quality control procedure

Shengpei An 1 Tianyue Hu 1 3 Yimou Liu 2 Gengxin Peng 2 Xianghao Liang 2
+ Author Affiliations
- Author Affiliations

1 School of Earth and Space Sciences, Peking University, Beijing 100871, China.

2 Tarim Oilfield, China National Petroleum Corporation, Xinjiang Korla 841000, China.

3 Corresponding author. Email: tianyue@pku.edu.cn

Exploration Geophysics 48(2) 124-130 https://doi.org/10.1071/EG14120
Submitted: 28 November 2014  Accepted: 22 November 2015   Published: 23 December 2015

Abstract

Static correction is a crucial step of seismic data processing for onshore play, which frequently has a complex near-surface condition. The effectiveness of the static correction depends on an accurate determination of first-arrival traveltimes. However, it is difficult to accurately auto-pick the first arrivals for data with low signal-to-noise ratios (SNR), especially for those measured in the area of the complex near-surface. The technique of the super-virtual interferometry (SVI) has the potential to enhance the SNR of first arrivals. In this paper, we develop the extended SVI with (1) the application of the reverse correlation to improve the capability of SNR enhancement at near-offset, and (2) the usage of the multi-domain method to partially overcome the limitation of current method, given insufficient available source-receiver combinations. Compared to the standard SVI, the SNR enhancement of the extended SVI can be up to 40%. In addition, we propose a quality control procedure, which is based on the statistical characteristics of multichannel recordings of first arrivals. It can auto-correct the mispicks, which might be spurious events generated by the SVI. This procedure is very robust, highly automatic and it can accommodate large data in batches. Finally, we develop one automatic first-arrival picking method to combine the extended SVI and the quality control procedure. Both the synthetic and the field data examples demonstrate that the proposed method is able to accurately auto-pick first arrivals in seismic traces with low SNR. The quality of the stacked seismic sections obtained from this method is much better than those obtained from an auto-picking method, which is commonly employed by the commercial software.

Key words: complex near-surface, first arrival, interferometry, quality control, refraction, static correction.


References

Alshuhail, A., Aldawood, A., and Hanafy, S., 2012, Application of super-virtual seismic refraction interferometry to enhance first arrivals: a case study from Saudi Arabia: The Leading Edge, 31, 34–39
Application of super-virtual seismic refraction interferometry to enhance first arrivals: a case study from Saudi Arabia:Crossref | GoogleScholarGoogle Scholar |

An, S. P., Liang, X. H., Hu, T., and Peng, G. X., 2014, Application of improved interferometry on low SNR data to auto-pick first arrivals: 76th Conference and Exhibition, EAGE, Extended Abstracts, We D201 14.

Bharadwaj, P., Schuster, G., Mallinson, I., and Dai, W., 2012, Theory of super-virtual refraction interferometry: Geophysical Journal International, 188, 263–273
Theory of super-virtual refraction interferometry:Crossref | GoogleScholarGoogle Scholar |

Boschetti, J., Dentith, M. D., and List, R. D., 1996, A fractal-based algorithm for detecting first arrivals on seismic traces: Geophysics, 61, 1095–1102
A fractal-based algorithm for detecting first arrivals on seismic traces:Crossref | GoogleScholarGoogle Scholar |

Coppens, F., 1985, First arrival picking on common-offset trace collections for automatic estimation of static corrections: Geophysical Prospecting, 33, 1212–1231
First arrival picking on common-offset trace collections for automatic estimation of static corrections:Crossref | GoogleScholarGoogle Scholar |

Dong, S., He, R., and Schuster, G. T., 2006a, Interferometric prediction and least squares subtraction of surface waves: 76th SEG Technical Program, Expanded Abstracts, 2783–2786.

Dong, S., Sheng, J., and Schuster, G. T., 2006b, Theory and practice of refraction interferometry: 76th SEG Technical Program, Expanded Abstracts, 3021–3025.

Draganov, D., Wapenaar, K., and Thorbecke, J., 2006, Seismic interferometry: reconstructing the earth’s reflection response: Geophysics, 71, SI61–SI70
Seismic interferometry: reconstructing the earth’s reflection response:Crossref | GoogleScholarGoogle Scholar |

Holland, P. W., and Welsch, R. E., 1977, Robust regression using iteratively reweighted least-squares: Communications in Statistics. Theory and Methods, 6, 813–827
Robust regression using iteratively reweighted least-squares:Crossref | GoogleScholarGoogle Scholar |

Ikelle, L. T., 2006, A construct of internal multiples from surface data only: the concept of virtual seismic events: Geophysical Journal International, 164, 383–393
A construct of internal multiples from surface data only: the concept of virtual seismic events:Crossref | GoogleScholarGoogle Scholar |

Key, S. C., and Smithson, S. B., 1990, New approach to seismic-reflection event detection and velocity determination: Geophysics, 55, 1057–1069
New approach to seismic-reflection event detection and velocity determination:Crossref | GoogleScholarGoogle Scholar |

Leśniak, A., and Niitsuma, H., 1998, Time-frequency coherency analysis of three-component crosshole seismic data for arrival detection: Geophysics, 63, 1847–1857
Time-frequency coherency analysis of three-component crosshole seismic data for arrival detection:Crossref | GoogleScholarGoogle Scholar |

Liu, H., Huang, W., and Li, Y., 2014, Seismic-while-drilling data processing with seismic interferometry in the Daqing Oilfield experiment: Exploration Geophysics, 45, 164–170
Seismic-while-drilling data processing with seismic interferometry in the Daqing Oilfield experiment:Crossref | GoogleScholarGoogle Scholar |

Mallinson, I., Bharadwaj, P., Schuster, G., and Jakubowicz, H., 2011, Enhanced refractor imaging by super-virtual interferometry: The Leading Edge, 30, 546–550
Enhanced refractor imaging by super-virtual interferometry:Crossref | GoogleScholarGoogle Scholar |

Mikesell, D., van Wijk, K., Calvert, A., and Haney, M., 2009, The virtual refraction: useful spurious energy in seismic interferometry: Geophysics, 74, A13–A17
The virtual refraction: useful spurious energy in seismic interferometry:Crossref | GoogleScholarGoogle Scholar |

Mousa, W. A., Al-Shuhail, A. A., and Al-Lehyani, A., 2011, A new technique for first-arrival picking of refracted seismic data based on digital image segmentation: Geophysics, 76, V79–V89
A new technique for first-arrival picking of refracted seismic data based on digital image segmentation:Crossref | GoogleScholarGoogle Scholar |

Murat, M., and Rudman, A., 1992, Automated first arrival picking: a neural network approach: Geophysical Prospecting, 40, 587–604
Automated first arrival picking: a neural network approach:Crossref | GoogleScholarGoogle Scholar |

Sabbione, J., and Velis, D., 2010, Automatic first-breaks picking: new strategies and algorithms: Geophysics, 75, V67–V76
Automatic first-breaks picking: new strategies and algorithms:Crossref | GoogleScholarGoogle Scholar |

Saragiotis, C. D., and Alkhalifah, T., 2012, Automatic first-break picking using the instantaneous traveltime attribute: 74th EAGE Conference and Exhibition incorporating SPE EUROPEC 2012, Extended Abstracts, I025.

Saragiotis, C. D., Hadjileontiadis, L. J., Rekanos, I. T., and Panas, S. M., 2004, Automatic P phase picking using maximum kurtosis and k-statistics criteria: IEEE Geoscience and Remote Sensing Letters, 1, 147–151
Automatic P phase picking using maximum kurtosis and k-statistics criteria:Crossref | GoogleScholarGoogle Scholar |

Snieder, R., Wapenaar, K., and Larner, K., 2006, Spurious multiples in seismic interferometry of primaries: Geophysics, 71, SI111–SI124
Spurious multiples in seismic interferometry of primaries:Crossref | GoogleScholarGoogle Scholar |

van Wijk, K., Calvert, A., Haney, M., Mikesell, D., and Snieder, R., 2008, The critical angle in seismic interferometry: 78th SEG Technical Program, Expanded Abstracts, 2737–2741.

Wapenaar, K., and Fokkema, J., 2006, Green’s function representations for seismic interferometry: Geophysics, 71, SI33–SI46
Green’s function representations for seismic interferometry:Crossref | GoogleScholarGoogle Scholar |

Yung, S. K., and Ikelle, L. T., 1997, An example of seismic time picking by third-order bicoherence: Geophysics, 62, 1947–1952
An example of seismic time picking by third-order bicoherence:Crossref | GoogleScholarGoogle Scholar |