H
Helmut Jakubowicz
Researcher at Imperial College London
Publications - 40
Citations - 849
Helmut Jakubowicz is an academic researcher from Imperial College London. The author has contributed to research in topics: Seismic migration & Deconvolution. The author has an hindex of 15, co-authored 40 publications receiving 773 citations. Previous affiliations of Helmut Jakubowicz include Texaco & Stanford University.
Papers
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Proceedings ArticleDOI
Wave Equation Prediction And Removal of Interbed Multiples
TL;DR: In this paper, a wave equation method was proposed for predicting interbed multiples from primary events. But this method is not suitable for seismic data and cannot be used to estimate multiples directly from measured data and has been incorporated into a new suppression technique.
Journal ArticleDOI
Use of low frequencies for sub‐basalt imaging
Anton Ziolkowski,Peter Hanssen,Robert Gatliff,Helmut Jakubowicz,Andrew D. M. Dobson,Gary Hampson,Xiang-Yang Li,Enru Liu +7 more
TL;DR: In this paper, the acquisition system for subbasalt targets was modified to emphasize the low frequencies, using much larger airguns, and towing the source and receivers at about 20 m depth.
Proceedings ArticleDOI
Wave Equation Prediction and Removal of Interbed Multiples
TL;DR: In this article, a wave equation method was proposed for predicting interbed multiples from primary events. But this method is not suitable for seismic data and cannot be used to estimate multiples directly from measured data and has been incorporated into a new suppression technique.
Journal ArticleDOI
Enhanced refractor imaging by supervirtual interferometry
TL;DR: Refraction surveys are a well-established method of imaging subsurface velocities, both in terms of the deep crustal structure at global scales and in the shallow near surface as mentioned in this paper.
Journal ArticleDOI
Least‐squares reverse‐time migration in a matrix‐based formulation
Gang Yao,Helmut Jakubowicz +1 more
TL;DR: In this article, modified source wavelets are used to correct the source signature imprint in the predicted data and a roughness constraint is applied to stabilise the inversion and reduce high-wavenumber artefacts.