Accounting for processing errors in AVO/AVA data

R. B. Madsen, E. Nørmark, T. Mejer Hansen

Publikation: Bidrag til bog/rapport/konferenceproceedingsKonferenceartikel i proceedingspeer review

3 Citationer (Scopus)


Processing of raw seismic data into AVO/AVA data serves many purposes, but also induces some unwanted features (errors) in the resulting data set. Here we study the effect of such processing in an idealized case with a synthetic raw data set. The behavior of the processing errors are estimated using a statistical Gaussian model. The 1D marginal distribution of this model show a good match with observed errors. The subsequent linearized inversion reveals that the processing errors can only be safely ignored for a signal-to-noise ratio (S/N) of 0,4 or below when using an uncorrelated noise model. Such inversion results will have poor posterior resolution. Uncorrelated models with a higher S/N will be biased. Using the estimated Gaussian model to describe the noise in the data eliminates this bias and increases resolution in linear inversion. In a real-world case we expect the threshold of 0.4 to be even lower.

Titel80th EAGE Conference and Exhibition 2018
UndertitelOpportunities Presented by the Energy Transition
ForlagEuropean Association of Geoscientists and Engineers
Antal sider5
ISBN (Elektronisk)978-9-4628-2254-2
ISBN (Trykt)978-1-5108-7432-9
StatusUdgivet - 2018
Udgivet eksterntJa
Begivenhed80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition - Copenhagen, Danmark
Varighed: 11 jun. 201814 jun. 2018


Konference80th EAGE Conference and Exhibition 2018


  • Programområde 3: Energiressourcer


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