Offset-continuation stacking: Theory and proof of concept

Author:

Coimbra Tiago A.1,Novais Amélia2,Schleicher Jörg2

Affiliation:

1. Formerly University of Campinas — DMA/IMECC, Department of Applied Mathematics, Campinas (SP), Brazil; presently University of Campinas — CEPETRO, Campinas (SP), Brazil..

2. University of Campinas — DMA/IMECC, Department of Applied Mathematics, Campinas (SP), Brazil and National Institute of Petroleum Geophysics (INCT-GP), Salvador, Brazil..

Abstract

The offset-continuation operation (OCO) is a seismic configuration transform designed to simulate a seismic section, as if obtained with a certain source-receiver offset using the data measured with another offset. Based on this operation, we have introduced the OCO stack, which is a multiparameter stacking technique that transforms 2D/2.5D prestack multicoverage data into a stacked common-offset (CO) section. Similarly to common-midpoint and common-reflection-surface stacks, the OCO stack does not rely on an a priori velocity model but provided velocity information itself. Because OCO is dependent on the velocity model used in the process, the method can be combined with trial-stacking techniques for a set of models, thus allowing for the extraction of velocity information. The algorithm consists of data stacking along so-called OCO trajectories, which approximate the common-reflection-point trajectory, i.e., the position of a reflection event in the multicoverage data as a function of source-receiver offset in dependence on the medium velocity and the local event slope. These trajectories are the ray-theoretical solutions to the OCO image-wave equation, which describes the continuous transformation of a CO reflection event from one offset to another. Stacking along trial OCO trajectories for different values of average velocity and local event slope allows us to determine horizon-based optimal parameter pairs and a final stacked section at arbitrary offset. Synthetic examples demonstrate that the OCO stack works as predicted, almost completely removing random noise added to the data and successfully recovering the reflection events.

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

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