Published November 1, 2018 | Version v1
Journal article

Microlocal analysis of imaging operators for effective common offset seismic reconstruction

  • 1. Department of Mathematics, Karlsruhe Institute of Technology (KIT), D-76128 Karlsruhe (Germany)
  • 2. Department of Mathematics, Tufts University, Medford, MA 02155 (United States)

Description

The elliptic Radon transform (eRT) integrates functions over ellipses in 2D and ellipsoids of revolution in 3D. It thus serves as a model for linearized seismic imaging under the common offset scanning geometry where sources and receivers are offset by a constant vector. As an inversion formula of eRT is unknown we propose certain imaging operators (generalized backprojection operators) which allow to reconstruct some singularities of the searched-for reflectivity function from seismic measurements. We calculate and analyze the principal symbols of these imaging operators as pseudo-differential operators to understand how they map, emphasize or de-emphasize singularities. We use this information to develop local reconstruction operators that reconstruct relatively independently of depth and offset. Numerical examples illustrate the theoretical findings. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1361-6420/aadc2a

Additional details

Identifiers

Publishing Information

Journal Title
Inverse Problems
Journal Volume
34
Journal Issue
11
Journal Page Range
[24 p.]
ISSN
0266-5611
CODEN
INVPET

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51080868
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
DIFFERENTIAL OPERATORS; INTEGRAL TRANSFORMATIONS; REFLECTIVITY; SEISMIC WAVES; SINGULARITY; VECTORS
Descriptors DEC
MATHEMATICAL OPERATORS; OPTICAL PROPERTIES; PHYSICAL PROPERTIES; SURFACE PROPERTIES; TENSORS; TRANSFORMATIONS