Among the acquisition technologies in the subsurface exploration that is expanding the fastest is the use of fiber optic cables as distributed sensors to monitor the subsurface. The technology has advanced into Distributed Acoustic Sensing (DAS) system for seismic imaging in scope of exploration and production. DAS has been used to track the CO2 injection activities at the Aquistore CCS sequestration project and has been shown to be a useful instrument for getting VSP. The technology may be used for a variety of purposes, which makes it an affordable and adaptable monitoring solution. Nonetheless, certain features of DAS, like the measurement’s single component character, act as obstacles to the technology’s adoption. DAS technology generally measures strain rate data and detect seismic wave variation in recorded signal data on cable. Because DAS measuring strain rate rather than particle velocity, therefore the signals it records cannot be easily compared to those from geophone. Understanding the seismic source, subsurface reflection response, cable geometry, and instrument impacts is therefore essential to comprehending the DAS response. In this paper we present our simulation modelling approach for DAS response over CO2 storage over Smeaheia field located on offshore Norway, refers to cable geometry. The Smeaheia has been observed as a CO2 storage project due to its complex subsurface features that made it a potential in injecting CO2. The simulation workflow exploits synthetic subsurface models from Smeaheia field seismic section of different complexity which in the end are representative of Smeaheia geology features. Using open-source Matlab Gui software ‘ExploreDAS’, we were able to observe and compare these modelling approaches in relation to DAS strain rate response. With varying input parameters complexity such as gauge length and the seismic wave, we manage to image and observe DAS response for synthetic cable geometry. This cable geometry represents both surface and VSP (wellbore) deployments, which replicate fiber placed injection well and deployed on the sea floor.

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Synthetic Simulation of Surface and VSP Distributed Acoustic Sensing (DAS) Over CO2 Storage Site at Smeaheia Field

  • Muhammad Rafi,
  • Khairul Arifin M Noh,
  • Abdul Halim Abdul Latiff,
  • Ahmad Dedi Putra

摘要

Among the acquisition technologies in the subsurface exploration that is expanding the fastest is the use of fiber optic cables as distributed sensors to monitor the subsurface. The technology has advanced into Distributed Acoustic Sensing (DAS) system for seismic imaging in scope of exploration and production. DAS has been used to track the CO2 injection activities at the Aquistore CCS sequestration project and has been shown to be a useful instrument for getting VSP. The technology may be used for a variety of purposes, which makes it an affordable and adaptable monitoring solution. Nonetheless, certain features of DAS, like the measurement’s single component character, act as obstacles to the technology’s adoption. DAS technology generally measures strain rate data and detect seismic wave variation in recorded signal data on cable. Because DAS measuring strain rate rather than particle velocity, therefore the signals it records cannot be easily compared to those from geophone. Understanding the seismic source, subsurface reflection response, cable geometry, and instrument impacts is therefore essential to comprehending the DAS response. In this paper we present our simulation modelling approach for DAS response over CO2 storage over Smeaheia field located on offshore Norway, refers to cable geometry. The Smeaheia has been observed as a CO2 storage project due to its complex subsurface features that made it a potential in injecting CO2. The simulation workflow exploits synthetic subsurface models from Smeaheia field seismic section of different complexity which in the end are representative of Smeaheia geology features. Using open-source Matlab Gui software ‘ExploreDAS’, we were able to observe and compare these modelling approaches in relation to DAS strain rate response. With varying input parameters complexity such as gauge length and the seismic wave, we manage to image and observe DAS response for synthetic cable geometry. This cable geometry represents both surface and VSP (wellbore) deployments, which replicate fiber placed injection well and deployed on the sea floor.