LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Free-shaped polygonal seismic horizon reconstruction using space transformations

Photo by joelfilip from unsplash

Abstract In the context of faulted or occluded regions in seismic images, seismic horizon reconstruction requires the use of fast interactive approaches with respect to any bounding domain and number… Click to show full abstract

Abstract In the context of faulted or occluded regions in seismic images, seismic horizon reconstruction requires the use of fast interactive approaches with respect to any bounding domain and number of passing points. The only algorithms which respect these constraints and provide a result in reasonable time in comparison with the interaction are based on the solution of a partial derivative equation either on juxtaposed quadrangular regions or using a binary mask on the whole data. While the first method requires the use of many passing points and its local nature leads to different results depending on the number and location of constraints, the second is not compatible with fast reconstruction for more than one passing point. In this paper, we propose a global and fast reconstruction method on the polygon defined by constraint points. Direct and inverse Schwarz-Christoffel space transformations lead to global reconstructions in respect to all the constraints. Experiments both on synthetic and real seismic images exhibit better results than the conventional quadrangle and mask methods. Index terms Seismic horizon reconstruction, faulted seismic image, partial derivative equation, space transformation, Schwarz-Christoffel transformation.

Keywords: reconstruction; horizon reconstruction; space transformations; seismic horizon

Journal Title: Journal of Applied Geophysics
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.