3D Seismic Imaging of Structural and Lithofacies Properties and Time Lapse Monitoring of an EOR-CO2-Flood – Hall-Gurney Field

Author(s):  
A.E. Raef ◽  
R.D. Miller ◽  
A.P. Byrnes ◽  
W.L. Watney ◽  
E.K. Franseen
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sherif M. Hanafy ◽  
Hussein Hoteit ◽  
Jing Li ◽  
Gerard T. Schuster

AbstractResults are presented for real-time seismic imaging of subsurface fluid flow by parsimonious refraction and surface-wave interferometry. Each subsurface velocity image inverted from time-lapse seismic data only requires several minutes of recording time, which is less than the time-scale of the fluid-induced changes in the rock properties. In this sense this is real-time imaging. The images are P-velocity tomograms inverted from the first-arrival times and the S-velocity tomograms inverted from dispersion curves. Compared to conventional seismic imaging, parsimonious interferometry reduces the recording time and increases the temporal resolution of time-lapse seismic images by more than an order-of-magnitude. In our seismic experiment, we recorded 90 sparse data sets over 4.5 h while injecting 12-tons of water into a sand dune. Results show that the percolation of water is mostly along layered boundaries down to a depth of a few meters, which is consistent with our 3D computational fluid flow simulations and laboratory experiments. The significance of parsimonious interferometry is that it provides more than an order-of-magnitude increase of temporal resolution in time-lapse seismic imaging. We believe that real-time seismic imaging will have important applications for non-destructive characterization in environmental, biomedical, and subsurface imaging.


2018 ◽  
Vol 502 ◽  
pp. 231-243 ◽  
Author(s):  
Felix Gross ◽  
Joshu J. Mountjoy ◽  
Gareth J. Crutchley ◽  
Christoph Böttner ◽  
Stephanie Koch ◽  
...  

Author(s):  
R. G. Francese ◽  
G. Bohm ◽  
N. Wardell ◽  
A. Baglioni ◽  
R. Genevois ◽  
...  

Author(s):  
V. Vinje ◽  
I. Lecomte ◽  
K. Astebol ◽  
E. Iversen ◽  
H. Gjoystdal

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