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Regularising Time-Domain Multi-Dimensional Deconvolution with Offset-Directional Derivatives
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 86th EAGE Annual Conference & Exhibition, Jun 2025, Volume 2025, p.1 - 5
Abstract
Summary
Multi-dimensional deconvolution (MDD) is a technique used at different stages of the seismic processing and imaging value chain to suppress overburden effects by deconvolving the up- and down-going components of a given wavefield at a target of interest. Whilst the time-domain implementation has recently been identified as the de-facto solution for 2D applications, owing to its stability and ability to include physics-based preconditioners, the extension to large-scale 3D datasets is still in its infancy and may require some compromise. For example, to use a reciprocity preconditioner, one is required to solve the MDD problem for all virtual sources at once, a prohibitive scenario for 3D applications. In this work, we present a simple strategy to regularise the solution of time-domain MDD that leverages the similarity between wavefields from adjacent virtual sources. The proposed approach requires one to solve the MDD problem only for a group of virtual sources simultaneously, and therefore is amenable to 3D applications.
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