Seismic time-lapse surprise at Teal South: That little neighbor reservoir is leaking!

Pennington, Wayne D.; Acevedo, Horacio; Haataja, Joshua I.; Minaeva, Anastasia

doi:10.1190/1.1487249

Cited by 17 publications

(19 citation statements)

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“…The wellbore path is marked with a red line. The white arrow indicates possible leakage zones along east–west faults, as reported by Pennington et al . (2001).…”

Section: Application To Time‐lapse Seismicmentioning

confidence: 58%

“…Although some noise can be seen in Figs 13 and 14(a), it is clear that the method highlights the time‐lapse change in amplitudes of the migrated seismic data, as predicted by reservoir simulation (see Figs 14b,c). Since the reservoir model overestimates the sealing capacity of the reservoir and does not account for the spatially heterogeneous nature of the gas‐cap depletion (Pennington et al . 2001), these calibrated amplitude differences should form the input to simultaneous matching of the production history and 4D data, an issue that the present paper does not address.…”

Section: Application To Time‐lapse Seismicmentioning

confidence: 99%

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Theory and seismic applications of the eigenimage discrete wavelet transform

Droujinine

2006

Geophysical Prospecting

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A B S T R A C TDiscrete wavelet transforms are useful in a number of signal processing applications. To improve the scale resolution, a joint function of time, scale and eigenvalue that describes the energy density or intensity of a signal simultaneously in the wavelet and eigenimage domains is constructed. A hybrid method, which decomposes eigenimages in the wavelet domain, is developed and tested on field data with a variety of noise types. Several illustrative examples examine the ability of wavelet transforms to resolve features at several scales. Successful applications to time-lapse seismic reservoir monitoring are presented. In reservoir monitoring, the scale-dependent properties of the eigenstructure of the 4D data covariance matrix enable us to extract the lowfrequency time-lapse signal that is the result of internal diffusive losses caused by fluid flow. *

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“…The wellbore path is marked with a red line. The white arrow indicates possible leakage zones along east–west faults, as reported by Pennington et al . (2001).…”

Section: Application To Time‐lapse Seismicmentioning

confidence: 58%

Section: Application To Time‐lapse Seismicmentioning

confidence: 99%

Theory and seismic applications of the eigenimage discrete wavelet transform

Droujinine

2006

Geophysical Prospecting

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“…This is known to be caused by the pressure drop at the producer and gas coming out of solution. This brightening occurs at the same time for both the main sandbody and a smaller sandbody, situated to the NW across the western fault, as they are connected via a pressure pathway to the north (Pennington et al . 2001).…”

Section: Observed Seismic Responsementioning

confidence: 98%

Observation of azimuthal anisotropy from the seismic reflectivity of a Tertiary turbidite sand

MacBeth

Shams

2006

Geophysical Prospecting

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P‐wave data from a time‐lapse 3D OBC survey have been analysed to estimate and interpret azimuthal seismic anisotropy. This is achieved by careful processing to preserve the azimuthal signature. The survey images a major reservoir body in a channelized turbidite field in the Gulf of Mexico. Three distinct and significant anisotropy anomalies are discovered on or around this particular ‘4500‐ft sand’, all of which change intensity but not orientation with hydrocarbon production. These anomalies are distributed along the highest concentration of cumulative sand thickness, with their symmetry axes aligned with the main channel axis. We suspect that this time‐lapse anisotropy could be caused by the alignment of the depositional grain fabric. Theoretical calculation predicts that this mechanism, when combined with fluid‐saturation changes, can generate the observed pattern of behaviour. If further supported by other researchers, this result would indicate that appropriately designed seismic surveys could be a useful tool for palaeo‐direction studies in clastic reservoirs and also a useful constraint for directional permeability in the reservoir flow simulation model.

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“…They indicate that their modeling could be improved by developing software that incorporates the different types of data in a more straightforward fashion. Pennington et al (2001) describe a case study in which faulting in the reservoir gives unexpected time-lapse results. Xu and Nur (2001) integrate reservoir simulation and satellite imaging to detect subsidence and to continuously monitor hydrocarbon production.…”

Section: Introductionmentioning

confidence: 99%

Coupled geomechanics and flow simulation for time‐lapse seismic modeling

et al. 2004

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To accurately predict production in compactible reservoirs, we must use coupled models of fluid flow and mechanical deformation. Staggered-in-time loose coupling of flow and deformation via a high-level numerical interface that repeatedly calls first flow and then mechanics allows us to leverage the decades of work put into individual flow and mechanics simulators while still capturing realistic coupled physics. These two processes are often naturally modeled using different time stepping schemes and different spatial grids-flow should only model the reservoir, whereas mechanics requires a grid that extends to the earth's surface for overburden loading and may extend further than the reservoir in the lateral directions. Although spatial and temporal variability between flow and mechanics can be difficult to accommodate with full coupling, it is easily handled via loose coupling. We calculate the total stress by adding pore pressures to the effective rock stress. In turn, changes in volume strain induce updates to porosity and permeability and, hence, dynamically alter the flow solution during simulation. Incorporating the resulting time-dependent pressures, saturations, and porosities (from coupled flow and mechanics) into Gassmann's equations results in seismic wave velocities and densities that can differ markedly from those calculated from flow alone. In a synthetic numerical experiment based on Belridge field, California, incorporation of coupled flow and mechanical deformation into time-lapse calculations produces compressional wave velocities that differ markedly from those produced by flow alone. In fact, it is the closing of the pores themselves (reduction in permeability) in this example which has the greatest impact on fluid pressures and saturations and, hence, elastic wave parameters such as velocity.

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Seismic time-lapse surprise at Teal South: That little neighbor reservoir is leaking!

Cited by 17 publications

References 0 publications

Theory and seismic applications of the eigenimage discrete wavelet transform

Theory and seismic applications of the eigenimage discrete wavelet transform

Observation of azimuthal anisotropy from the seismic reflectivity of a Tertiary turbidite sand

Coupled geomechanics and flow simulation for time‐lapse seismic modeling

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