Broadband seismic over/under sources and their designature-deghosting

Author:

Amundsen Lasse1ORCID,Pedersen Ørjan2,Osen Are2,Robertsson Johan O. A.3ORCID,Landrø Martin4ORCID

Affiliation:

1. Statoil Research Centre, Trondheim, Norway and The Norwegian University of Science and Technology, Department of Geoscience and Petroleum, Trondheim, Norway..

2. Statoil Research Centre, Trondheim, Norway..

3. ETH Zurich, Institute of Geophysics, Zurich, Switzerland..

4. The Norwegian University of Science and Technology, Department of Geoscience and Petroleum, Trondheim, Norway..

Abstract

The source depth influences the frequency band of seismic data. Due to the source ghost effect, it is advantageous to deploy sources deep to enhance the low-frequency content of seismic data. But, for a given source volume, the bubble period decreases with the source depth, thereby degrading the low-frequency content. At the same time, deep sources reduce the seismic bandwidth. Deploying sources at shallower depths has the opposite effects. A shallow source provides improved high-frequency content at the cost of degraded low-frequency content due to the ghosting effect, whereas the bubble period increases with a lesser source depth, thereby slightly improving the low-frequency content. A solution to the challenge of extending the bandwidth on the low- and high-frequency side is to deploy over/under sources, in which sources are towed at two depths. We have developed a mathematical ghost model for over/under point sources fired in sequential and simultaneous modes, and we have found an inverse model, which on common receiver gathers can jointly perform designature and deghosting of the over/under source measurements. We relate the model for simultaneous mode shooting to recent work on general multidepth level array sources, with previous known solutions. Two numerical examples related to over/under sequential shooting develop the main principles and the viability of the method.

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Seismic deghosting using convolutional neural networks;GEOPHYSICS;2023-03-29

2. A convolutional neural network approach for ghost removal;First International Meeting for Applied Geoscience & Energy Expanded Abstracts;2021-09-01

3. Elastic wave-equation migration velocity analysis preconditioned through mode decoupling;GEOPHYSICS;2019-05-01

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5. References;Introduction to Petroleum Seismology;2018-01

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