Estimating primaries by sparse inversion, a generalized approach

Abstract

A B S T R A C TFor an accurate interpretation of seismic data, multiple-free data are of great value. Removing surface multiples and interbed multiples proves to be challenging in many cases. The nowadays widely used method of Surface-Related Multiple Elimination (SRME) has lately been redefined as a full-waveform inversion process, resulting in the method of Estimation of Primaries by Sparse Inversion (EPSI). The new method is shown to be more accurate than the former method in several situations, because it estimates primaries such that they, together with their multiples, explain the input data. Its main advantage is that the minimum energy assumption in traditional multiple subtraction is avoided. The SRME methodology has been extended to the case of internal multiples by several authors, however, the involved subtraction of predicted multiples is probably even more challenging than for the surface-multiple case. Therefore, in this paper the EPSI method is generalized to remove both surface and interbed multiples. As in previous implementations of internal multiple removal based on data-driven convolution, the newly proposed scheme requires some knowledge about the subsurface: the data should be divided into (macro) layers and appropriate time windows must be selected. The method is tested on two 2D synthetic datasets to prove its viability. Furthermore, application to a 2D field dataset showed improved accuracy compared to conventional prediction and subtraction.

Target-oriented least-squares reverse-time migration using Marchenko double-focusing: reducing the artefacts caused by overburden multiples

“…The quality and resolution of the image are increased noticeably. The internal multiple suppression results of this paper are in agreement with the findings of Davydenko and Verschuur (2018b) and Ypma and Verschuur (2013).…”

Robust estimation of primaries by sparse inversion and Marchenko equation-based workflow for multiple suppression in the case of a shallow water layer and a complex overburden: A 2D case study in the Arabian Gulf

“…Layer stripping can be used to account for more generation mechanisms, however this approach tends to be more computationally expensive (even in 2.5-D media), and can result in amplitude damage to deeper primaries resulting in a downward cascading, and likely cumulative, prediction-and-subtraction error. Ways of partially mitigating this problem have been suggested by Ypma and Verschuur (2013).…”

Secondary Interface Echoes Suppression for Immersion Ultrasonic Imaging Based on Phase Circular Statistics Vector

“…As early as in the field of seismic imaging and marine geophysical prospecting, multiple interface echo suppression has been widely concerned, especially in data processing and imaging applications [ 12 , 13 ]. From previous studies on seismic data, it has been proven that the desired primary interface echo and the undesired multiple interface echoes are different in many properties, such as phase characteristics, apparent velocity, frequency component, periodicity, and so on [ 14 , 15 ].…”