4D time strain and the seismic signature of geomechanical compaction at Genesis

Rickett, James; Duranti, Luca; Hudson, Thomas; Regel, Bernard; Hodgson, Neil

doi:10.1190/1.2737103

Cited by 60 publications

(31 citation statements)

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“…For example, there are significant uncertainties in the quantitative analysis of only time‐lapse seismic measurements over petroleum reservoirs [ Landrø , 2002; Furtney and Woods , 2006; Tsuneyama and Mavko , 2007]. Yet it is observed that fluid withdrawal from a reservoir may be associated with geomechanical deformations (especially in weak rock formations) and seismic time shifts [e.g., Minkoff et al , 2004; Hatchell and Bourne , 2005; Aarre , 2006; Rickett et al , 2007]. An established physical method for imaging or monitoring subterranean fluid flow processes is the spontaneous polarization method [e.g., Kemna et al , 2004], and changes in reservoir porosity, pressure and fluid saturation computed using coupled fluid flow and geomechanical deformation modeling can be used to determine changes in density and seismic velocities with time [ Minkoff et al , 2004].…”

Section: Challenges Opportunities and Future Directionsmentioning

confidence: 99%

Structure‐coupled multiphysics imaging in geophysical sciences

Gallardo

Meju

2011

Reviews of Geophysics

142

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[1] Multiphysics imaging or data inversion is of growing importance in many branches of science and engineering. In geophysical sciences, there is a need for combining information from multiple images acquired using different imaging devices and/or modalities because of the potential for accurate predictions. The major challenges are how to combine disparate data from unrelated physical phenomena, taking into account the different spatial scales of the measurement devices, model complexities, and how to quantify the associated uncertainties. This review paper summarizes the role played by the structural gradients-based approach for coupling fundamentally different physical fields in (mainly) geophysical inversion, develops further understanding of this approach to guide newcomers to the field, and defines the main challenges and directions for future research that may be useful in other fields of science and engineering.Citation: Gallardo, L. A., and M. A. Meju (2011), Structure-coupled multiphysics imaging in geophysical sciences, Rev.

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Section: Challenges Opportunities and Future Directionsmentioning

confidence: 99%

Structure‐coupled multiphysics imaging in geophysical sciences

Gallardo

Meju

2011

Reviews of Geophysics

142

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“…The directional derivative of the time shift computed in the direction of the normal vector is presented as an improvement to Rickett et al (2007), who computed the directional derivative in the vertical direction only. Because the differentiation operator tends to exaggerate the noise embedded in the dip field, an accurate computation of the seismic dip will improve the estimate of the magnitude of production-related velocity changes (Fig.…”

Section: Impact Of Dip Computation On Time-lapse Seismic Analysismentioning

confidence: 99%

Mapping and time-lapse analysis of South Arne Chalk fault network using new developments in seismic dip computation

Astratti

Aarre

Vejbæk³

et al. 2014

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In a reservoir, faults at the limit of the seismic resolution can be crucial to explain production history and to optimize field development. However, in most cases the detail required to describe such subtle features depends on the assistance of seismic attributes and semi-automated interpretation techniques. We generated a detailed description of the fault network in the South Arne Chalk Group using a workflow based on a globally consistent computation of the seismic dip. This led to more accurate seismic edge attributes than gained with standard dip estimation techniques. We analysed each fault set and qualitatively assessed its control on fluid flow. Our investigation suggests that the two fracture sets that influence production developed along the same WNW-ESE structural trend and cannot be separated based on the seismic data alone. These faults were active both during and post Chalk deposition. We observe ENE -WSW lineaments that match the pattern of a time-lapse seismic amplitude anomaly associated with water injection. It remains to be verified whether these lineaments could be an extension of overburden faults, as well as whether the increased intensity of the fault network as seen on the 2005 v. the 1995 3D seismic survey was caused by production effects.

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“…The advantages of geodetic data, its dense spatial coverage and excellent temporal sampling, could overcome some of the limitations of seismic source inversions which depend upon natural seismic events for sampling in space and time. Time-lapse seismic strains, are one data set that can provide improved spatial resolution, because it is possible to estimate strains within a volume of the Earth (Rickett et al 2007). Such data sets also extend the applicability of the method to offshore areas, as do observations from deep-sea pressure sensors (Chadwick et al 2006).…”

Section: O N C L U S I O N Smentioning

confidence: 99%

Estimating fluid-induced stress change from observed deformation

Vasco¹,

Harness²,

Pride³

et al. 2016

Geophys. J. Int.

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S U M M A R YObserved deformation is sensitive to a changing stress field within the Earth. However, there are several impediments to a direct inversion of geodetic measurements for changes in stress. Estimating six independent components of stress change from a smaller number of displacement or strain components is inherently non-unique. The reliance upon surface measurements leads to a loss of resolution, due to the attenuation of higher spatial frequencies in the displacement field with distance from a source. We adopt a technique suited to the estimation of stress changes due to the injection and/or withdrawal of fluids at depth. In this approach the surface displacement data provides an estimate of the volume change responsible for the deformation, rather than stress changes themselves. The inversion for volume change is constrained by the fluid fluxes into and out of the reservoir. The distribution of volume change is used to calculate the displacements in the region above the reservoir. Estimates of stress change follow from differentiating the displacement field in conjunction with a geomechanical model of the overburden. We apply the technique to Interferometric Synthetic Aperture Radar (InSAR) observations gathered over a petroleum reservoir in the San Joaquin Valley of California. An analysis of the InSAR range changes reveals that the stress field in the overburden varies rapidly both in space and in time. The inferred stress variations are found to be compatible with the documented failure of a well in the field.

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4D time strain and the seismic signature of geomechanical compaction at Genesis

Cited by 60 publications

References 0 publications

Structure‐coupled multiphysics imaging in geophysical sciences

Structure‐coupled multiphysics imaging in geophysical sciences

Mapping and time-lapse analysis of South Arne Chalk fault network using new developments in seismic dip computation

Estimating fluid-induced stress change from observed deformation

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