Time lapse gravity gradiometry for reservoir monitoring

DiFrancesco, Dan; Talwani, Manik

doi:10.1190/1.1817377

Cited by 11 publications

(3 citation statements)

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“…In comparison, methods of measuring the gravity gradient have recently been improved (DiFrancesco and Talwani 2002). However, to obtain a similar sensitivity to gas-liquid changes, accuracies well below 1E is needed.…”

Section: Discussionmentioning

confidence: 99%

Gravimetric monitoring of gas production from the Troll field

et al. 2008

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Three surveys of relative gravity and depth measurements have been carried out over the Troll field during gas production. Due to several improvements in the methodology, precision (intra-survey repeatability measured as standard deviation) has i mproved from 26 µGal to 11 µGal and 4 µGal in the latest survey. This will improve the reliability of future monitoring, and also opens the range of applications to smaller and deeper fields.There is no clear subsidence of the seafloor. The estimated average depth change above the reservoir is 0.5 to 0.8 cm, but this is not statistically significant. Time-lapse gravity results show a change, significant at the 80 % confidence level, which is likely due to water influx into the reservoir. The result is in agreement with model expectations, and with time-lapse seismic and well log observations. It demonstrates that the method is useful for constraining dynamic models.

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Section: Discussionmentioning

confidence: 99%

Gravimetric monitoring of gas production from the Troll field

et al. 2008

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“…Since then, gravity gradiometry has had successful application in exploration problems (e.g., Bell et al, 1997;Huston et al, 1999;Mataragio and Kieley, 2009;Hatch and Annecchione, 2010;Ennen and Hall, 2011;Martinez et al, 2013;). The technology is naturally studied for its use in a time-lapse setting (e.g., Talwani et al, 1999;DiFrancesco and Talwani, 2002;Vasilevsky et al, 2003Vasilevsky et al, , 2005Kirkendall and Li, 2007;Amano and Yamamoto, 2013;Reitz, 2014).…”

Section: Time-lapse Gravity and Gravity Gradiometrymentioning

confidence: 99%

Feasibility of time-lapse gravity and gravity gradiometry monitoring for steam-assisted gravity drainage reservoirs

Reitz

Krahenbuhl

2015

GEOPHYSICS

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There is presently an increased need to monitor production efficiency as heavy oil reservoirs become more economically viable. We present a feasibility study of monitoring steam-assisted gravity drainage (SAGD) reservoirs using time-lapse gravimetry and gravity gradiometry. Even though time-lapse seismic has historically shown great success for SAGD monitoring, the gravimetry and gravity gradiometry methods offer a low-cost interseismic alternative that can complement the seismic method, increase the survey frequency, and decrease the cost of monitoring. In addition, both gravity-based methods are directly sensitive to the density changes that occur as a result of the replacement of heavy oil by steam. Advances in technologies have made both methods viable candidates for consideration in time-lapse reservoir monitoring, and we have numerically evaluated their potential application in monitoring SAGD production. The results indicate that SAGD production should produce a strong anomaly for both methods at typical SAGD reservoir depths. However, the level of detail for steam-chamber geometries and separations that can be recovered from the gravimetry and gravity gradiometry data is site dependent. Gravity gradiometry shows improved monitoring ability, such as better recovery of nonuniform steam movement due to reservoir heterogeneity, at shallower production reservoirs. Gravimetry has the ability to detect SAGD steam-chamber growth to greater depths than does gravity gradiometry, although with decreasing resolution of the expanding steam chambers.

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“…COBURN (2002) describes case studies that used GGT and 3-D seismic imaging to delineate the base and geometry of salt bodies. The GGT components have been used for reservoir monitoring (DI FRANCESCO and TALWANI, 2002); salt and sub-salt imaging (MUMAW and PRUTZMAN, 1999;BIEGERT et al, 2001;DEJONG et al, 2001;COBURN and MUMAW, 2003) and mineral exploration (ZHDANOV et al, 2004;DRANSFIELD, 2007). SCHMIDT and CLARK (2000) have shown that potential field tensor includes the increased resolution of shallow and structural features.…”

Section: Introductionmentioning

confidence: 99%

Depth Estimation of Simple Causative Sources from Gravity Gradient Tensor Invariants and Vertical Component

Oruç

2009

Pure Appl. Geophys.

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The gravity gradient tensor (GGT) is deduced from products of second-order derivatives of the gravitational potential. A new method based on the invariants of the GGT has been proposed in this research to interpret gravity data due to sphere, infinite horizontal cylinder and semi-infinite vertical cylinder. The method estimates the depth of these simple causative sources from the multiplication of the maximum of the gravity vertical component by the maximum value of the invariants I 1 to I 2 ratio. To show the reliability and correctness of the estimated depths on 3-D models, the method has been tested using theoretical data with and without random noise. In addition, I have applied the method to a field-data example in Texas, USA and the depth obtained by the present method is compared with those published in the literature.

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Time lapse gravity gradiometry for reservoir monitoring

Cited by 11 publications

References 1 publication

Gravimetric monitoring of gas production from the Troll field

Gravimetric monitoring of gas production from the Troll field

Feasibility of time-lapse gravity and gravity gradiometry monitoring for steam-assisted gravity drainage reservoirs

Depth Estimation of Simple Causative Sources from Gravity Gradient Tensor Invariants and Vertical Component

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