Stress-induced signatures in 4D seismic data: Evidence of overburden stress arching

Rodriguez-Herrera, Adrian; Koutsabeloulis, Nick; Onaisi, A.; Fiore, J.; Selva, F.

doi:10.1190/segam2015-5900945.1

Cited by 12 publications

(8 citation statements)

References 10 publications

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“…Rodriguez‐Herrera et al . () continues this theme by proposing a strain‐sensitivity model with two polarity‐insensitive R ‐factor parameters, R 1 and R 2 (similar to those suggested by Fuck, Bakulin and Tsvankin ). This is believed to extend the HBR model to a generalized principal strain tensor:

\frac{Δ v}{italicv} = - R_{1} ε_{z z} - R_{2} false(ε_{v o l} - ε_{z z} false),

where ε vol is the volumetric strain, and

R_{1} = - 1 / 2 false(c_{111} / C_{33} false)

and

R_{2} = - 1 / 2 false(c_{112} / C_{33} false) .

These factors relate, respectively, to components parallel and perpendicular to the wave propagation direction.…”

Section: Seismic Velocity Change Induced By Rock Deformationmentioning

confidence: 67%

“…Finally, Rodriguez‐Herrera et al . () perform numerical calculation of the time‐shifts for a field case study involving stress arching and employing the full tensor strain output from a geomechanical simulation with a favourable comparison to field data. However, to make practical use of equation , the laboratory‐derived coefficients R 1 and R 2 must be fully calibrated to the field study observations.…”

Section: Seismic Velocity Change Induced By Rock Deformationmentioning

confidence: 99%

“…Compaction is predicted to exist at the sides of the stress arch, and thus sideburden speed-ups should be also seen. Observations show that this compaction effect is hard to detect in the seismic data, but extension is always more readily visible (Røste et al 2015;Rodriguez-Herrera et al 2015). In addition, speed-up is predicted to occur above water or gas injectors that inflate pressure in the reservoir -this is rarely observed.…”

Section: Key Conclusion From Vertical Time-shifts Observed In 4d Seimentioning

confidence: 99%

“…; Rodriguez‐Herrera et al . ). In addition, speed‐up is predicted to occur above water or gas injectors that inflate pressure in the reservoir – this is rarely observed. Seismic velocity changes induced by geomechanical effects relate to whole volumes of rock and spread across many varied lithologies .…”

Section: Introductionmentioning

confidence: 97%

“…; Rodriguez‐Herrera et al . ). In addition, speed‐up is predicted to occur above water or gas injectors that inflate pressure in the reservoir – this is rarely observed.…”

Section: Introductionmentioning

confidence: 97%

See 4 more Smart Citations

Review Paper: A semi‐empirical model of strain sensitivity for 4D seismic interpretation

MacBeth

Kudarova

Hatchell

2018

Geophysical Prospecting

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We reformulate the original model of Hatchell and Bourne and Røste, Stovas and Landrø that couples fractional velocity change to subsurface strain via a fundamental constant R. The new model combines elastic compressibility of a dual‐porosity system for a sand–shale mixture with horizontal planes of inter‐granular weakness. The majority of observed R‐factor magnitudes from post‐stack 4D seismic data in both the reservoir and overburden can thus be explained. R is predicted to depend strongly on lithology and also initial strain state. The model is also extended to predict the observed angle‐dependence of time‐lapse time‐shifts from pre‐stack data. An expression for the gradient of time‐shift with incidence angle is obtained in terms of the background VP/VS, and also the ratio of tangential to normal compliances BT/BN representing loss or creation of inter‐granular coupling. If accurately estimated from data, this compliance ratio can be used as an additional parameter to assess the post‐production state of the overburden. It is concluded that whilst R remains the over‐arching parameter controlling the magnitude of time‐shifts measured from 4D seismic data, BT/BN is a subtler parameter that may also prove of future value.

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\frac{Δ v}{italicv} = - R_{1} ε_{z z} - R_{2} false(ε_{v o l} - ε_{z z} false),

where ε vol is the volumetric strain, and

R_{1} = - 1 / 2 false(c_{111} / C_{33} false)

and

R_{2} = - 1 / 2 false(c_{112} / C_{33} false) .

These factors relate, respectively, to components parallel and perpendicular to the wave propagation direction.…”

Section: Seismic Velocity Change Induced By Rock Deformationmentioning

confidence: 67%

Section: Seismic Velocity Change Induced By Rock Deformationmentioning

confidence: 99%

Section: Key Conclusion From Vertical Time-shifts Observed In 4d Seimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

“…; Rodriguez‐Herrera et al . ). In addition, speed‐up is predicted to occur above water or gas injectors that inflate pressure in the reservoir – this is rarely observed.…”

Section: Introductionmentioning

confidence: 97%

See 3 more Smart Citations

Review Paper: A semi‐empirical model of strain sensitivity for 4D seismic interpretation

MacBeth

Kudarova

Hatchell

2018

Geophysical Prospecting

View full text Add to dashboard Cite

show abstract

Impact of a stochastic sequential initiation of fractures on the spatial correlations and connectivity of discrete fracture networks

2016

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Stochastic discrete fracture networks (DFNs) are classically simulated using stochastic point processes which neglect mechanical interactions between fractures and yield a low spatial correlation in a network. We propose a sequential parent‐daughter Poisson point process that organizes fracture objects according to mechanical interactions while honoring statistical characterization data. The hierarchical organization of the resulting DFNs has been investigated in 3‐D by computing their correlation dimension. Sensitivity analysis on the input simulation parameters shows that various degrees of spatial correlation emerge from this process. A large number of realizations have been performed in order to statistically validate the method. The connectivity of these correlated fracture networks has been investigated at several scales and compared to those described in the literature. Our study quantitatively confirms that spatial correlations can affect the percolation threshold and the connectivity at a particular scale.

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Variations of the in‐situ stress within nonhomogeneous layers of the subsurface rock induced by changes in pore fluid pressure

Mehrabian

2023

Num Anal Meth Geomechanics

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This paper presents a three-dimensional analytical solution for deformation and stress change inside and outside a porous layer of rock subjected to prescribed axisymmetric disturbance in the pore fluid pressure. The porous layer is confined between two impermeable layers of rock. Different mechanical moduli are considered for the porous and confining strata. The solution is derived from Navier's equations of static equilibrium while considering the continuity of stress and deformation across the rock layers which are assumed to follow linearly poroelastic constitutive behavior. Results for the case of uniform pore fluid pressure change within the porous layer are demonstrated in terms of rock deformation, as well as changes in the magnitude and orientation of principal stresses, inside and outside the porous layer. Variations of these results with key problem parameters including the stiffness ratio of rock layers and the aspect ratio of disturbed pore pressure volume are presented. Findings indicate the large effect of layers heterogeneity on redistribution and reorientation of the in-situ stress, yet, less significantly on deformation of the porous layer. Results further reveal the substantial error rates that uniaxial strain models may produce in estimating the stress path of depleted or injected reservoirs.

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Stress-induced signatures in 4D seismic data: Evidence of overburden stress arching

Cited by 12 publications

References 10 publications

Review Paper: A semi‐empirical model of strain sensitivity for 4D seismic interpretation

Review Paper: A semi‐empirical model of strain sensitivity for 4D seismic interpretation

Impact of a stochastic sequential initiation of fractures on the spatial correlations and connectivity of discrete fracture networks

Variations of the in‐situ stress within nonhomogeneous layers of the subsurface rock induced by changes in pore fluid pressure

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