Seismic monitoring and geomechanics simulation

Dusseault, Maurice B.; Yin, Shunde; Rothenburg, L.; Han, Hongxue

doi:10.1190/1.2737119

Cited by 14 publications

(8 citation statements)

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“…Such an inversion contributes to the understanding of how fluids are moving (sweeping) through a reservoir, of levels of intercompartment pressure communication, and whether fluid is produced from locations away from the wells (Greaves and Fulp, 1987;Landrø, 2001;Lumley, 2001;Calvert, 2005;Hodgson et al, 2007;Wikel, 2008). Knowledge of reservoir pressure can also be used to estimate stress and strain variations outside the reservoir (Herwanger and Horne, 2005;Dusseault et al, 2007;Scott, 2007). Identifying those stress patterns helps to guide drilling decisions and reduce the cost of repairing or replacing wells snapped or sheared by high stresses.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of compaction-induced multicomponent seismic time shifts to variations in reservoir properties

Smith

Tsvankin

2013

GEOPHYSICS

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Pore-pressure variations inside producing reservoirs result in excess stress and strain that influence the arrival times of reflected waves. Inversion of seismic data for pressure changes requires better understanding of the dependence of compactioninduced time shifts on reservoir pressure reduction. Using geomechanical and full-waveform seismic modeling, we investigate pressure-dependent behavior of P-, S-, and PS-wave time shifts from reflectors located above and below a rectangular reservoir embedded in a homogeneous half-space. Our geomechanical modeling algorithm generates the excess stress/strain field and the stress-induced stiffness tensor as linear functions of reservoir pressure. Analysis of time shifts obtained from full-waveform synthetic data shows that they vary almost linearly with pressure for reflectors above the reservoir, but become nonlinear for reflections from the reservoir or deeper interfaces. Time-shift misfit curves computed with respect to noise-contaminated data from a reference reservoir for a wide range of pressure reductions display well-defined global minima corresponding to the actual pressure. In addition, we evaluate the influence of the reservoir width on time shifts and the possibility of constraining the width using time-lapse data. We also discuss the impact of moderate perturbations in the strain-sensitivity coefficients (i.e., third-order stiffnesses) on time shifts and on the accuracy of pressure inversion. Our feasibility analysis indicates that the most stable pressure estimation from noisy data is provided by multicomponent time shifts from reflectors below the reservoir. For multicompartment reservoirs, time shifts can be accurately modeled by linear superposition of the excess stress/strains computed for the individual compartments.

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Section: Introductionmentioning

confidence: 99%

Sensitivity of compaction-induced multicomponent seismic time shifts to variations in reservoir properties

Smith

Tsvankin

2013

GEOPHYSICS

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“…Our approach to this is to define a zone surrounding the reservoir proper within which these diffusion processes act over the simulation time, and discretize this region coarsely with finite elements (e.g. Dusseault et al, 2007;Yin et al in press).…”

Section: Discussionmentioning

confidence: 99%

Multiphase poroelastic modeling in semi-space for deformable reservoirs

Yin

Dusseault

Rothenburg

2009

Journal of Petroleum Science and Engineering

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“…This allows an earth model to be assembled, and the geomechanics model will be based on the use of seismics to interpolate between wells. To avoid excessive model complexity, usually a limited number of GMUs are defined (6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20), and usually these are chosen to correspond as well with clear lithostratigraphic units. In each GMU, a set of identical mechanical and petrophysical parameters is usually stipulated (although stochastic simulation can be used to vary parameters to simulate heterogeneity at various scales).…”

Section: Seismics and The Geomechanics Whole Earth Modelmentioning

confidence: 99%

Monitoring and Modelling in Coupled Geomechanics Processes

Dusseault¹

2007

Canadian International Petroleum Conference

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Geomechanics issues are vital in all reservoir processes, but particularly so in weak, unconsolidated sandstones. Coupled stress-flow simulation is necessary to analyse and understand effects such as changes in reservoir volume that arise from heating and pressurization, and non-linear plasticity models that incorporate shear dilatancy are needed to simulate the dilation effects that are observed in any thermal process in sands.Coupling of flow and stress is based on the volume changes that arise with changes in pressur and temperature. Incorporating shear dilation is based on computation of effective stresses from ΔT and Δp, then assessing the state of the rock to see if and how much it shears and dilates. These processes are ill-quantified at present, so it is necessary to monitor.The two monitoring domains that are of greatest interest to coupled geomechanics simulation are the deformation field and the seismic attributes field. More specifically, how these fields evolve in space and with time are the key factors to tracking processes to calibrating geomechanics models, and to the successful optimization of complex in situ processes.A general geomechanics view of how to achieve process monitoring and optimization goals is presented in a general fashion. Further progress in the areas of monitoring, inversion, and geomechanics simulation is needed, although recent developments have advanced these aspects.

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Seismic monitoring and geomechanics simulation

Cited by 14 publications

References 0 publications

Sensitivity of compaction-induced multicomponent seismic time shifts to variations in reservoir properties

Sensitivity of compaction-induced multicomponent seismic time shifts to variations in reservoir properties

Multiphase poroelastic modeling in semi-space for deformable reservoirs

Monitoring and Modelling in Coupled Geomechanics Processes

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