Optimized time-lapse acquisition design via spectral gap ratio minimization

TL;DR

This paper introduces a graph theory-based algorithm to optimize sparse 4D seismic acquisition geometries, reducing costs while maintaining wavefield recovery quality in reservoir management and geological carbon storage monitoring.

Contribution

It presents a novel spectral gap ratio minimization method for designing efficient, low-cost time-lapse seismic acquisition geometries using graph connectivity principles.

Findings

Algorithm effectively produces sparse acquisition geometries

Optimized designs improve wavefield recovery

Cost reduction in seismic data collection

Abstract

Modern-day reservoir management and monitoring of geological carbon storage increasingly call for costly time-lapse seismic data collection. In this letter, we show how techniques from graph theory can be used to optimize acquisition geometries for low-cost sparse 4D seismic. Based on midpoint-offset domain connectivity arguments, the proposed algorithm automatically produces sparse non-replicated time-lapse acquisition geometries that favor wavefield recovery.