Temporal and Spatial Variability of Microseismic Events due to Water Flooding: A Case Study from the Tazlau Field (RO)

Behm, Michael; Egreteau, A.; Afifi, Mohammad Ebrahim; Ogliani, F.; Voskamp, Arne

doi:10.3997/2214-4609.20142155

Cited by 1 publication

(9 citation statements)

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“…Behm et al . () found a pronounced difference in the microseismicity pattern between the western flank of the reservoir (well A) and its eastern flank (well B). Events in the west are abundant (ca.…”

Section: Discussionmentioning

confidence: 95%

“…Yellow and green dots are locations of detected microseismic events from wells A and B, respectively (Behm et al . ).…”

Section: Area and Datamentioning

confidence: 97%

“…The temporal variation of both the (smoothed) apparent velocities and the power spectral density are compared to the water injection rate and the number of microseismic events detected during the water‐flooding campaign (Behm et al . ).…”

Section: Ambient Noise Interferometry and Time‐lapse Analysismentioning

confidence: 97%

“…In 2013, a microseismic feasibility study was launched with the aim of detecting and localizing microseismic events related to water flooding (Behm et al 2014b). A geophone string comprising nine 3C receivers with an average spacing of 30 m was deployed in monitoring well A at the western flank for the duration of 15 days (October 17-31) and, after removal, was deployed again in monitoring well B at the eastern flank for another 16 days (November 6-21).…”

Section: A R E a A N D D A T Amentioning

confidence: 99%

“…Colour of arrows corresponds to Fig. 14. Yellow and green dots are locations of detected microseismic events from wells A and B, respectively (Behm et al 2014b). were acquired in two boreholes during a short microseismic monitoring campaign concurrently with a water-flooding phase in an oilfield in eastern Romania. The continuous data were processed by interferometric methods and provide a spatially and temporally dense collection of virtual source gathers.…”

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confidence: 99%

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Feasibility of borehole ambient noise interferometry for permanent reservoir monitoring

Behm¹

2016

Geophysical Prospecting

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The analysis of seismic ambient noise acquired during temporary or permanent microseismic monitoring campaigns (e.g., improved/enhanced oil recovery monitoring, surveillance of induced seismicity) is potentially well suited for time‐lapse studies based on seismic interferometry. No additional data acquisition required, ambient noise processing can be automatized to a high degree, and seismic interferometry is very sensitive to small medium changes. Thus there is an opportunity for detection and monitoring of velocity variations in a reservoir at negligible additional cost and effort. Data and results are presented from an ambient noise interferometry study applied to two wells in a producing oil field in Romania. Borehole microseismic monitoring on three component geophones was performed for four weeks, concurrent with a water‐flooding phase for improved oil recovery from a reservoir in ca. 1 km depth. Both low‐frequency (2 Hz–50 Hz) P‐ and S‐waves propagating through the vertical borehole arrays were reconstructed from ambient noise by the virtual source method. The obtained interferograms clearly indicate an origin of the ambient seismic energy from above the arrays, thus suggesting surface activities as sources. It is shown that ambient noise from time periods as short as 30 seconds is sufficient to obtain robust interferograms. Sonic log data confirm that the vertical and horizontal components comprise first arrivals of P‐wave and S‐waves, respectively. The consistency and high quality of the interferograms throughout the entire observation period further indicate that the high‐frequency part (up to 100 Hz) represents the scattered wave field. The temporal variation of apparent velocities based on first‐arrival times partly correlates with the water injection rate and occurrence of microseismic events. It is concluded that borehole ambient noise interferometry in production settings is a potentially useful method for permanent reservoir monitoring due to its high sensitivity and robustness.

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Section: Discussionmentioning

confidence: 95%

“…Yellow and green dots are locations of detected microseismic events from wells A and B, respectively (Behm et al . ).…”

Section: Area and Datamentioning

confidence: 97%

Section: Ambient Noise Interferometry and Time‐lapse Analysismentioning

confidence: 97%

Section: A R E a A N D D A T Amentioning

confidence: 99%

mentioning

confidence: 99%