해양 탄성파 반사법 탐사자료의 다중반사파 제거 최적화 연구
Optimization for Multiple Attenuation of Marine Seismic Reflection Data
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초록
해양 탄성파 반사법 탐사자료에는 다중반사파가 존재하기 때문에 이를 제거하지 않은 탐사자료로 정확한 지하지층구조를 영상화하는 것은 한계가 있다. 본 논문에서는 해수면기인 다중반사파 제거모듈(Surface-Related Multiple Elimination; SRME)과 주파수-파수(Frequency-Wavenumber; FK) 필터링, 예측 곱풀기를 조합하여 인공합성 탄성파자료와 현장자료에 적용함으로써 다중반사파 제거 자료처리 공정을 확립하였다. 수치모형실험에서 다수의 지층경계면에 의해 생성된 다중반사파를 제거하기 위한 방법으로 SRME 모듈과 FK필터링을 조합하여 수행하는 것이 효과적임을 입증하였다. 현장자료의 중합단면에서 강한 진폭으로 주기적으로 나타나는 표면 다중반사파(Surface multiple)를 제거하기 위하여 SRME 모듈과 FK 필터링, 예측 곱풀기를 조합하여 음원모음에 적용하고 중합단면을 만들어 비교 ‧ 분석 하였다. 그 결과 SRME 모듈과 FK 필터링을 조합한 방법이 효과적임을 알 수 있었다.
Abstract
One of the most challenging problems for subsurface imaging is removing multiples from marine seismic reflection data. In order to establish multiple suppression processing procedure, we applied Surface-Related Multiple Elimination (SRME), Frequency-Wavenumber (FK) filtering, and predictive deconvolution to synthetic data and seismic field data. In this study, it was verified that the method for combination of SRME module and FK filtering is effective for suppressing multiples produced by free surface in numerical test. To suppress surface multiples in field data which had been acquired at continental shelf, we tried to apply processing procedures of SRME module, FK filtering, and predictive deconvolution to shot gathers which have periodic high amplitude. After obtaining stacked images with shot gathers suppressed surface multiples, we conducted comparative analysis of them. The result shows that the processing procedure combining of SRME module and FK filtering is effective to suppress multiples.
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