Decentralized Dispersed Source Array Acquisition and Time-Lapse Applications Using Simultaneous Joint Migration Inversion

Abstract

A major practical advantage of the Dispersed Source Array (DSA) concept is that most of its source units are smaller and less powerful than conventional sources providing the acquisition system with increased operational flexibility. To handle the larger number of sources simultaneously operational in the field, we propose to organize the acquisition system in an automated and decentralized manner. We demonstrate that, by applying this strategy it is possible to produce valid image results even without rigorously strict survey design. Finally, we prove that using the Simultaneous Joint Migration Inversion (SJMI) technology it is possible to reliably recover time-lapse information even when a significant mismatch between baseline and monitor survey geometries is introduced by
the system decentralization.