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

Modified interferometric imaging condition for reverse-time migration

Xue-Bao Guo 1 2 4 Hong Liu 1 2 Ying Shi 3
+ Author Affiliations
- Author Affiliations

1 Institute of Geology and Geophysics, Chinese Academy of Sciences, Key Laboratory of Petroleum Resources Research, Beijing 100029, China.

2 University of Chinese Academy of Sciences, Beijing 100049, China.

3 Northeast Petroleum University, School of Earth Science, Science and Technology Innovation Team on Fault Deformation, Sealing and Fluid Migration, Daqing 163318, China.

4 Corresponding author. Email: guoxuebao@mail.iggcas.ac.cn

Exploration Geophysics - https://doi.org/10.1071/EG16116
Submitted: 20 July 2016  Accepted: 1 December 2016   Published online: 5 January 2017

Abstract

For reverse-time migration, high-resolution imaging mainly depends on the accuracy of the velocity model and the imaging condition. In practice, however, the small-scale components of the velocity model cannot be estimated by tomographical methods; therefore, the wavefields are not accurately reconstructed from the background velocity, and the imaging process will generate artefacts. Some of the noise is due to cross-correlation of unrelated seismic events. Interferometric imaging condition suppresses imaging noise very effectively, especially the unknown random disturbance of the small-scale part. The conventional interferometric imaging condition is extended in this study to obtain a new imaging condition based on the pseudo-Wigner distribution function (WDF). Numerical examples show that the modified interferometric imaging condition improves imaging precision.

Key words: artefacts, interferometric imaging condition, reverse-time migration, small-scale components.


References

Baysal, E., Kosloff, D. D., and Sherwood, J. W. C., 1983, Reverse time migration: Geophysics, 48, 1514–1524
Reverse time migration:CrossRef |

Biondi, B., and Symes, W., 2004, Angle-domain common-image gathers for migration velocity analysis by wavefield-continuation imaging: Geophysics, 69, 1283–1298
Angle-domain common-image gathers for migration velocity analysis by wavefield-continuation imaging:CrossRef |

Borcea, L., Papanicolaou, G., and Tsogka, C., 2006a, Adaptive interferometric imaging in clutter and optimal illumination: Inverse Problems, 22, 1405–1436
Adaptive interferometric imaging in clutter and optimal illumination:CrossRef |

Borcea, L., Papanicolaou, G., and Tsogka, C., 2006b, Coherent interferometric imaging in clutter: Geophysics, 71, SI165–SI175
Coherent interferometric imaging in clutter:CrossRef |

Borcea, L., Papanicolaou, G., and Tsogka, C., 2006c, Coherent interferometry in finely layered random media: Multiscale Modeling and Simulation, 5, 62–83
Coherent interferometry in finely layered random media:CrossRef |

Claerbout, J. F., 1985, Imaging the earth’s interior: Blackwell Scientific Publications.

Clapp, R. G., Biondi, B. L., and Claerbout, J. F., 2004, Incorporating geologic information into reflection tomography: Geophysics, 69, 533–546
Incorporating geologic information into reflection tomography:CrossRef |

Cohen, L., 1995, Time frequency analysis: Prentice Hall.

Fei, T., Luo, Y., Yang, J., Liu, H. W., and Qin, F., 2015, Removing false images in reverse time migration: The concept of de-primary: Geophysics, 80, S237–S244
Removing false images in reverse time migration: The concept of de-primary:CrossRef |

Fletcher, R. P., Fowler, P. J., Kitchenside, P., and Albertin, U., 2006, Suppressing unwanted internal reflections in prestack reverse-time migration: Geophysics, 71, E79–E82
Suppressing unwanted internal reflections in prestack reverse-time migration:CrossRef |

Liu, F., Zhang, G., Morton, S. A., and Leveille, J. P., 2011, An effective imaging condition for reverse-time migration using wavefield decomposition: Geophysics, 76, S29–S39
An effective imaging condition for reverse-time migration using wavefield decomposition:CrossRef |

Mulder, W. A., and Plessix, R. E., 2003, One-way and two-way wave-equation migration: 73rd Annual International Meeting, SEG, Expanded Abstracts, 881–884.

Rickett, J., and Sava, P., 2002, Offset and angle-domain common image-point gathers for shot-profile migration: Geophysics, 67, 883–889
Offset and angle-domain common image-point gathers for shot-profile migration:CrossRef |

Sava, P., 2007, Stereographic imaging condition for wave-equation migration: Geophysics, 72, A87–A91
Stereographic imaging condition for wave-equation migration:CrossRef |

Sava, P., 2011, Micro-earthquake monitoring with sparsely-sampled data: Journal of Petroleum Exploration and Production Technology, 1, 43–49
Micro-earthquake monitoring with sparsely-sampled data:CrossRef |

Sava, P., and Fomel, S., 2005, Coordinate-independent angle-gathers for wave equation migration: 75th Annual International Meeting, SEG, Expanded Abstracts, 2052–2055.

Sava, P., and Fomel, S., 2006, Time-shift imaging condition in seismic migration: Geophysics, 71, S209–S217
Time-shift imaging condition in seismic migration:CrossRef |

Sava, P., and Poliannikov, O., 2008, Interferometric imaging condition for wave-equation migration: Geophysics, 73, S47–S61
Interferometric imaging condition for wave-equation migration:CrossRef |

Sava, P., and Vasconcelos, I., 2011, Extended imaging conditions for wave-equation migration: Geophysical Prospecting, 59, 35–55
Extended imaging conditions for wave-equation migration:CrossRef |

Shen, P., and Albertin, U., 2015, Up-down separation using Hilbert transformed source for causal imaging condition: SEG Technical Program, Expanded Abstracts, 4175–4179.

Sun, J., Fomel, S., and Ying, L., 2016, Low-rank one-step wave extrapolation for reverse time migration: Geophysics, 81, S39–S54
Low-rank one-step wave extrapolation for reverse time migration:CrossRef |

Wigner, E., 1932, On the quantum correction for thermodynamic equilibrium: Physical Review, 40, 749–759
On the quantum correction for thermodynamic equilibrium:CrossRef | 1:CAS:528:DyaA38XktFSrsw%3D%3D&md5=7cfc134cf7889ca608aa3c5bec70a53dCAS |

Yang, P., Gao, J. H., and Wang, B. L., 2014, RTM using effective boundary saving: a staggered grid GPU implementation: Computers & Geosciences, 68, 64–72
RTM using effective boundary saving: a staggered grid GPU implementation:CrossRef |

Yoon, K., and Marfurt, K. J., 2006, Reverse-time migration using the Poynting vector: Exploration Geophysics, 37, 102–107
Reverse-time migration using the Poynting vector:CrossRef |

Yoon, K., Marfurt, K. J., and Starr, W., 2004, Challenges in reverse-time migration: 74th Annual International Meeting, SEG, Expanded Abstracts, 1057–1060.

Zhang, Y., and Sun, J., 2009, Practical issues of reverse time migration: true amplitude gathers, noise removal and harmonic-source encoding: First Break, 26, 19–25

Zhang, Y., and Zhang, G., 2009, One-step extrapolation method for reverse time migration: Geophysics, 74, A29–A33
One-step extrapolation method for reverse time migration:CrossRef |



Export Citation