Surface-based Internal Multiple Elimination in the CMP Domain − Theory and Application Strategies on Land Seismic Data

• Autorzy: Deng S. , Zhao W. , Liu Z.

Identyfikatory

DOI

10.1515/acgeo-2016-0107

• Języki publikacji: EN

Abstrakty

EN

The data-driven internal multiple elimination (IME) method based on feedback model, which includes CFP-based, surface-based and inversion-based methods, are successfully applied to marine datasets. However, these methods are computationally expensive and not always straightforward on land datasets. In this paper, we first proved that the surface-based IME method, which is the most computationally efficient method among the three methods, can be derived from the CFP theory. Then we extend it to CMP domain under the assumption of locally lateral invariance of the earth, which makes it more computationally efficient. In addition, we proposed applying a time-variant taper based on the first Fresnel zone to predict the multiples more percisely. Besides, the improved S/N ratio and dense offset distribution can be obtained by using the CMP supergather, which makes the CMP-oriented method more suitable for land data. Some practical processing strategies are proposed via case study. The effectiveness of the proposed method is demonstrated with the application to synthetic and field data.

Słowa kluczowe

EN

feedback; seismic data; surface-based; CMPoriented; internal multiple

PL

sprzężenie zwrotne; dane sejsmiczne

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2016
• Tom: Vol. 64, no. 6
• Strony: 2114--2135
• Opis fizyczny: Bibliogr. 26 poz.

Twórcy

autor

Deng S.

• Chinese Academy of Geological Sciences, Beijing, People’s Repulic of China

autor

Zhao W.

• Chinese Academy of Geological Sciences, Beijing, People’s Repulic of China

autor

Liu Z.

• Chinese Academy of Geological Sciences, Beijing, People’s Repulic of China

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)