Supporting Seismic Data Survey Design Through the Integration of Satellite-Based Land Cover Maps

Tian, Liang; Akram, Naveed; Sedona, Rocco; Savva, Nikos; Riedel, Morris; Cavallaro, Gabriele; Verschuur, Dirk Jacob

Supporting Seismic Data Survey Design Through the Integration of Satellite-Based Land Cover Maps

Conference paper (2024)

Authors

Liang Tian University of Iceland

Naveed Akram The Cyprus Insitute

Rocco Sedona Forschungszentrum Jülich

Nikos Savva The Cyprus Insitute, University of Cyprus

Morris Riedel University of Iceland, Forschungszentrum Jülich

Gabriele Cavallaro Forschungszentrum Jülich, University of Iceland

Dirk Jacob Verschuur Applied Geophysics and Petrophysics

Research Group

Applied Geophysics and Petrophysics

Deep Learning Remote Sensing Seismic Imaging Supercomputing Seismic Data Processing

To reference this document use:

http://resolver.tudelft.nl/uuid:315ee4b4-6799-4385-b84b-252eb8407bda

More Info

expand_more

Published Date

2024

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Research Group

Applied Geophysics and Petrophysics

Abstract

Seismic Imaging (SI) survey design for onshore applications faces challenges such as accessibility and poor data quality due to unexpected (near-)surface conditions. In this paper, we explore the correlation between the surface conditions provided by Land-Cover (LC) maps generated using Remote Sensing (RS) data and different settings of Seismic Processing (SP) parameters. The study involves a 2D seismic line related to geothermal exploration from the Netherlands.

Files

Supporting_Seismic_Data_Survey... (pdf)

(pdf | 1.66 Mb)

- Embargo expired in 05-03-2025

License info not available