Acquisition of Crosswell Seismic Monitoring Data

Daley, Thomas M.; Niu, Fenglin; Silver, Paul G.; Majer, Ernest L.

doi:10.1016/s0950-1401(10)04014-0

Cited by 10 publications

(7 citation statements)

References 9 publications

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“…Seismic velocities have been shown to be sensitive to minor deformation caused by changes in the pore pressure (Donaldson et al, ; Marchesini et al, ; Todd & Simmons, ). Active‐source seismic monitoring has been used to detect stress‐induced seismic velocity changes from tidal effects (Yamamura et al, ), to track fluid saturation within reservoirs (Daley et al, ; Daley et al, ) and to monitor hydraulic stimulation (Ajo‐Franklin et al, ; Calo et al, ; Rivet et al, ). Analysis of data from a HS experiment at the Grimsel Test Site (GTS; Switzerland) (Amann et al, ) revealed an in situ relationship between the changes in seismic velocity and the pressurization of the rock (Doetsch et al, ).…”

Section: Introductionmentioning

confidence: 99%

On the Variability of Pressure Propagation During Hydraulic Stimulation Based on Seismic Velocity Observations

et al. 2020

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Permeability enhancement of a reservoir through hydraulic stimulation is ever so often accompanied by potentially hazardous induced seismicity. Monitoring of in situ pressure propagation remains an important step in understanding the underlying seismo‐hydromechanical processes during hydraulic stimulation and mitigating hazardous induced seismicity. In an effort to monitor pressure propagation remotely, active seismic monitoring was performed during decameter‐scale hydraulic stimulation experiments at the Grimsel Test Site in Switzerland. Using cross‐correlation schemes, subtle traveltime variations that correlate well with the high‐pressure fluid injections during hydraulic stimulation become apparent. The 4‐D seismic tomograms obtained through time‐lapse differential traveltime inversion reveal transient changes in the seismic velocity within the stimulated volume that depend on the effective stress. In‐depth comparison of the seismic velocity variations and measured pressure data indicates that the seismic velocity variations can be used as a proxy for pressure propagation within an equilibrated system. Observations show that traveltime tomography is insensitive to isolated, high‐pressure variations such as a breakthrough within the fracture network. Joint interpretation of the 4‐D seismic tomograms with geological and hydromechanical data reveals fundamental differences between the different experiments due to a large variability in the rock mass response to the hydraulic stimulation. Using the observed velocity variations as a proxy for pressure propagation, we can infer characteristics of the shear zones and the rock volume at the Grimsel Test Site. The observed velocity variations provide not only information on the characteristics of the reservoir itself but also its response to different stimulation techniques.

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Section: Introductionmentioning

confidence: 99%

On the Variability of Pressure Propagation During Hydraulic Stimulation Based on Seismic Velocity Observations

et al. 2020

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“…Oil viscosities for heavy oil were assumed to be within the range of 250 to 350 cp (Beggs and Robinson 1975) with the vis-cosity-vs.-temperature relationship taken from Daubert and Danner (1997). The ranges for the amount of electromagnetic (EM) power applied is assumed to vary between zero and approximately 100 kW (Sahni et al 2000;Lake 2007).…”

Section: Numerical Experiments and Resultsmentioning

confidence: 99%

“…where l a is the viscosity of the phase, T is the temperature of the formation, and the parameters A a and B a are parameters estimated with a regression analysis with data as in Daubert and Danner (1997).…”

Section: Methodsmentioning

confidence: 99%

History Matching of Electromagnetically Heated Reservoirs Incorporating Full-Wavefield Seismic and Electromagnetic Imaging

2015

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Electromagnetic (EM) heating is becoming a popular method for heavy-oil recovery because of its cost-efficiency and continuous technological improvements. It exploits the relationship that the viscosity of hydrocarbons decreases for increasing temperature; the heavy-oil components become more fluid-like, and hence easier to extract from the reservoir. Although several field studies have considered the effects of heating on the viscosity of the hydrocarbons, there has been very little research on the long-term effects of field production and the forecasting of the development of the reservoir. Increased flow rates within the reservoir render the moving fluids less viscous, implying fast-changing fluid-propagation patterns and increased uncertainty about the state of the oil displacement. This means, in the long term, strongly varying production projections, strong dependence on the permeability of the reservoir, and potentially undesirable fluid migration. To improve the forecasting of production in heavy-oil fields and to accurately capture the dynamics of the fluid movements, we present a history-matching framework incorporating well data and seismic and EM crosswell-imaging techniques. The incorporation of seismic and EM data into the history-matching process counteracts the changing reservoir dynamics caused by increased fluid velocity caused by heating and is shown to significantly improve reservoir matching and forecasts for a variety of different heating scenarios.

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“…4), with standard measurement errors of 362 psi for BHP, and around 7% measurement error rates for the other production data (Zhang and Oliver, 2010). For seismic and electromagnetic measurements we have assumed error rates of around 2% as typically estimated in industrial applications (Daley et al, 2010;Nalonnil et al, 2011). These error rates incorporate the uncertainty encountered in the interpretation of the seismic and electromagnetic data as well as the noise levels.…”

Section: History Matching Experimentsmentioning

confidence: 99%

EMSE: Synergizing EM and seismic data attributes for enhanced forecasts of reservoirs

Katterbauer

Hoteit

Sun

2014

Journal of Petroleum Science and Engineering

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Acquisition of Crosswell Seismic Monitoring Data

Cited by 10 publications

References 9 publications

On the Variability of Pressure Propagation During Hydraulic Stimulation Based on Seismic Velocity Observations

On the Variability of Pressure Propagation During Hydraulic Stimulation Based on Seismic Velocity Observations

History Matching of Electromagnetically Heated Reservoirs Incorporating Full-Wavefield Seismic and Electromagnetic Imaging

EMSE: Synergizing EM and seismic data attributes for enhanced forecasts of reservoirs

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