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Automation in geophysical data acquisition; from ocean-bottom nodes to RoboNodes

Constantine Tsingas, Panos G. Kelamis, Thierry Brizard and Jonathan Grimsdale
Automation in geophysical data acquisition; from ocean-bottom nodes to RoboNodes
Leading Edge (Tulsa, OK) (May 2013) 32 (5): 514-520

Abstract

The future of seismic data acquisition clearly dictates increased sampling in both receiver and shot domains. A significant amount, almost 80%, of the total cost of an exploration and development seismic project is spent on data acquisition. It is, therefore, extremely important that we reduce acquisition-related costs and at the same time we strive to improve seismic data quality. Indeed, the number of seismic channels follows a form of Moore's law; that is, the number of channels laid out in the field is steadily increasing by an order of magnitude every 10 years (Figure 1) while the recent introduction of simultaneous sources provides improved spatial sampling in the shot domain. Figure 2 shows three time slices that clearly demonstrate the link between increased number of channels recorded and improved resolution and image quality.


ISSN: 1070-485X
EISSN: 1938-3789
Serial Title: Leading Edge (Tulsa, OK)
Serial Volume: 32
Serial Issue: 5
Title: Automation in geophysical data acquisition; from ocean-bottom nodes to RoboNodes
Affiliation: Saudi Aramco, Dhahran, Saudi Arabia
Pages: 514-520
Published: 201305
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 18
Accession Number: 2013-043433
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
Secondary Affiliation: CGG, III, International
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 201327
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