Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Lars Sonneland"'
Autor:
Marie Etchebes, Lars Sonneland, Jarle Haukås, Aicha Bounaim, B. H. Fotland, Hilde Grude Borgos
Publikováno v:
SEG Technical Program Expanded Abstracts 2019.
Publikováno v:
Interpretation. 2:T167-T176
We developed a new stratigraphic interpretation methodology enabling extraction of stratigraphic sequences of surfaces. This methodology consisted of two main components. The first component was inspired by DNA search technology used in bioinformatic
Autor:
J.R. Granli, S.C. Robertson, Hilde Grude Borgos, W. Athmer, E. Stueland, B.A. Tjostheim, Lars Sonneland, M. Etchebes
Publikováno v:
78th EAGE Conference and Exhibition 2016.
A seismic facies characterization of the Late Triassic Fruholmen Formation and the Jurassic Sto Formation—both hydrocarbon-bearing reservoir units within the Realgrunnen Subgroup in the Barents Sea—was performed to better understand reservoir fac
Publikováno v:
First Break. 31
A solution for automated salt body extraction from seismic data has been developed. The solution is based on a level set algorithm, used in combination with seismic attributes that discriminate between salt and sediments and highlight top and base sa
Publikováno v:
First Break. 31
Publikováno v:
London 2013, 75th eage conference en exhibition incorporating SPE Europec.
A methodology for automated 3D horizon interpretation is presented. This methodology consists of two main parts. The first part is a detection step where a novel method inspired by DNA string detection, called Seismic DNA (Bakke et al. 2012), is used
Publikováno v:
SEG Technical Program Expanded Abstracts 2012.
Publikováno v:
SEG Technical Program Expanded Abstracts 2012.
Publikováno v:
SEG Technical Program Expanded Abstracts 2012.
We present a new approach to extract features from seismic data using a non-local and multi-attribute search method. By transforming seismic reflection data and attributes derived from seismic data into characters we can search for complex features i
Publikováno v:
Proceedings.
Summary Salt body extraction from seismic is currently a slow and tedious process, mainly based on manual interpretation. To speed up salt body extraction from seismic, and better assess the quality of the extracted salt bodies, an automated process