A new method for highly repeatable time‐lapse seismic acquisition

Author(s):  
Dorit Koenitz ◽  
Jaafar Ali ◽  
Peter Sabel
2020 ◽  
Vol 24 (1) ◽  
pp. 159-167 ◽  
Author(s):  
Adam R. Mangel ◽  
Stephen M. J. Moysey ◽  
John Bradford

Abstract. Ground-penetrating radar (GPR) reflection tomography algorithms allow non-invasive monitoring of water content changes resulting from flow in the vadose zone. The approach requires multi-offset GPR data that are traditionally slow to collect. We automate GPR data collection to reduce the survey time significantly, thereby making this approach to hydrologic monitoring feasible. The method was evaluated using numerical simulations and laboratory experiments that suggest reflection tomography can provide water content estimates to within 5 % vol vol−1–10 % vol vol−1 for the synthetic studies, whereas the empirical estimates were typically within 5 %–15 % of measurements from in situ probes. Both studies show larger observed errors in water content near the periphery of the wetting front, beyond which additional reflectors were not present to provide data coverage. Overall, coupling automated GPR data collection with reflection tomography provides a new method for informing models of subsurface hydrologic processes and a new method for determining transient 2-D soil moisture distributions.


2005 ◽  
Vol 48 (3) ◽  
pp. 771-776 ◽  
Author(s):  
Long JIN ◽  
Xiao-Hong CHEN ◽  
Jing-Ye LI

Geophysics ◽  
2010 ◽  
Vol 75 (3) ◽  
pp. SA37-SA43 ◽  
Author(s):  
Joongmoo Byun ◽  
Jeongmin Yu ◽  
Soon Jee Seol

Time-lapse crosswell seismic provides an efficient way to monitor the migration of a [Formula: see text] plume or its leakage after [Formula: see text] injection into a geologic formation. Recently, crosswell seismic has become a powerful tool for monitoring underground variations, using the concept of a virtual source, with virtual sources positioned at the receivers installed in the well and thus the positions of sources and receivers can be invariant during monitoring. However, time-lapse crosswell seismic using vertical wells and virtual sources has difficulty in describing the front of a [Formula: see text] plume, which usually is parallel to the vertical wells, and in obtaining sufficient ray coverage for the first-arrival tomography. These problems arise because of the theoretical downward-illumination-directivity limitation of the virtual source. We have developed an effective monitoring method that uses virtual sources and two horizontal wells: one above and one below the [Formula: see text]sequestration reservoir. In our method, we redatum the traces that are recorded at geophones in horizontal wells from sources on the surface. The redatumed traces then become virtual traces recorded at geophones in the lower well and sent from virtual sources at the positions of the geophones in the upper well. The geometry of our method has advantages for locating the front of the [Formula: see text] plume, which is normal to the horizontal wells, compared with either real or virtual sources. The method also is advantageous in acquiring full ray coverage between the wells, and that coverage is superior to coverage acquired using vertical crosswell seismic with virtual sources. In addition, we can avoid problems related to any potential change in the medium above the reservoir and in the source and receiver positions. The results of applying our method to synthetic data that simulate [Formula: see text]-sequestration monitoring show that the front of a [Formula: see text] plume in the reservoir is depicted accurately in a velocity tomogram. The new method also can be used to monitor a reservoir during production of heavy oil.


1982 ◽  
Vol 220 (2) ◽  
pp. 147-151 ◽  
Author(s):  
Gillian M. King ◽  
Richard Gordon ◽  
Karim Karmali ◽  
Leslie J. Biberman
Keyword(s):  

Geophysics ◽  
2008 ◽  
Vol 73 (3) ◽  
pp. Q9-Q17 ◽  
Author(s):  
Martin Landrø

In marine seismic acquisition, the typical time interval between two adjacent shots is about [Formula: see text]. This interval is considered sufficient to avoid the signal from one shot interfering with the signal from the next shot. However, when we are looking for very weak signals or weak changes in a given signal (time-lapse seismic), the influence of the shot-generated noise can be of importance. In the present work, shot records with a recording time of [Formula: see text] are used to analyze the influence of the shot-generated noise from the previous shot. Simple decay models are used to match the observed rms decay curves. These calibrated models are used to estimate variations in signal-to-noise ratio versus shot time interval and source strength. For instance, if the source strength is doubled and the time interval between two shots is increased from [Formula: see text], an improvement in the signal-to-shot-generated noise from the previous shot of [Formula: see text] is expected. Especially for time-lapse seismic using permanently installed receivers, this way of increasing the S/N might be useful.


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