Project report and algorithms for optimizing acquisition layout and frequency

Abstract

D2.7. Project report and algorithms for optimizing acquisition layout and frequency. We evaluate the capability of 3D finite difference codes to model Distributed Acoustic Sensors (DAS) at reservoir scale for monitoring of CO2 sequestration. This work builds on previous DigiMon deliverables: 1.3 - DAS synthetic dataset (Baird et al, 2020b) and 2.1 - Framework for forward modelling of the DigiMon data (Vandeweijer et al, 2021). The goals of this work include 1) evaluation of the computational load and trade-offs needed to model Distributed Acoustic Sensing (DAS) signals from a 3D (~14x14x3 km) model of a CO2 sequestration reservoir; 2) sensitivity of various DAS deployment models (borehole versus surface); 3) comparison of DAS (linear and helical) with respect to geophones for both vertical and surface installations; and 4) measurements of possible induced seismicity with DAS.