M-GS - New Spatial Estimation and Simulation Models for More Precision and More Realism

Magneron, C.; Petit, Fabien

doi:10.3997/2214-4609.20147579

Cited by 7 publications

(5 citation statements)

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“… geostatistical QC of the seismic velocity datasets  3D merge of the qualified seismic velocity datasets  3D calibration to the wells The use of local geostatistical models (Magneron and Petit 2007) at each step allows to take into account variations in anisotropies and sizes of structures, common at regional scales. During the first step, acquisition and processing artefacts are filtered out with M-GS filtering technique (no postsmoothing procedure is applied, resolution is preserved).…”

Section: D Regional Velocity Modelingmentioning

confidence: 99%

3D Regional Velocity Modeling - North Sea

Magneron¹,

Doornenbal²,

Bever³

et al. 2018

First EAGE/PESGB Workshop on Velocities

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SummaryRegional velocity models are used mainly for time-to-depth conversion. At regional scales, where few horizons are available, the accuracy and consistency of the velocity models relies on the integration of seismic velocities which bring additional information in terms of lateral and vertical heterogeneities. Such heterogeneities can only be preserved with a fully 3D geostatistical approach. Besides, the use of a structurally driven merge and calibration process leads to consistent 3D regional velocity models. Finally, the combination of advanced geostatistical techniques coupled with geophysical and geological expertise allows to obtain realistic and accurate depth conversion products.

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Section: D Regional Velocity Modelingmentioning

confidence: 99%

3D Regional Velocity Modeling - North Sea

Magneron¹,

Doornenbal²,

Bever³

et al. 2018

First EAGE/PESGB Workshop on Velocities

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“…qualification and conditioning of the seismic velocities in order to remove acquisition and processing artefacts -3D merge of the conditioned seismic velocity data sets -3D calibration of the merge seismic velocities to the wells Advanced geostatistical techniques, in the form of M-GS techniques (M-GS technology, Magneron, 2008), are applied all along the processing sequence:…”

Section: True 3d Velocity Modeling For Time To Depth Conversionmentioning

confidence: 99%

“…qualification of the seismic velocity data sets -3D merge of the qualified seismic velocity data sets -3D calibration to the wells The use of advanced geostatistical tools is required at each step in order to get a final velocity model with the best resolution and spatial coherency as possible. In particular local geostatistical models (M-GS technology, Magneron, 2008) are very useful at this ultra-regional scale over which the structural content varies a lot, and present strong variations of anisotropies and sizes of structures.…”

Section: Introductionmentioning

confidence: 99%

North West Shelf 3D Velocity Modeling

Monteignies¹,

Magneron²,

Gritsajuk³

2016

ASEG Extended Abstracts

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The NWS is a major Oil&Gas area in Australia where regional velocity models exist for all the basins located in the province. Using an innovative 3D approach, a model covering the entire NWS has been built and is presented in this paper. The major challenge of the project was to honour as much as possible the resolution of the geological features and to ensure a global consistency of the model in a non-stationary environment at such a wide scale. Another one has been to work with more than 200 surveys and nearly 900 wells as input. The Estimage's 3D approach associated with advanced geostatistical techniques allowed us to build a geologically consistent model with a depth uncertainty far from the wells below +/-100m (at more than 100km from the wells).

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“…Eventually, for pixel-based methods, if varying facies variogram ranges are identified in different sectors of the reservoir, Local Geostatistics tools (LGS) can be used with SIS simulation technique. This method is presented in Magneron and Petit (2008).…”

Section: Constraining Geostatistical Simulations To Honor Connectionsmentioning

confidence: 99%

Use of connection constraints for checking and enhancing geological models

Chautru¹,

Meunier²,

Binet³

et al. 2015

Bulletin of Canadian Petroleum Geology

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To ensure consistency between geological models and dynamic models, it is necessary to constrain geological models to information coming from dynamic synthesis about permeable pathways between some points in the reservoir. The paper presents a methodology which can be fully implemented using commercial software. It is based on the analysis of connected components calculated on geostatistical simulations in a post-processing phase. The analysis of physical connections in a single lithostratigraphic unit is studied. The use of connected components to QC facies or petrophysical properties simulations is detailed and the impact of simulation parameters (facies proportion, variogram range, etc...) on the presence of permeable pathways in the static model is studied. The generalization to structural geological models is described. In this case, successive lithostratigraphic units can be potentially connected through faults when the fault throw is large enough. A two-steps workflow for conditioning simulations to information about connections between points in difficult cases is presented. The first step is the identification of the realizations matching the connection criteria. The second step consists in choosing additional conditioning data for further simulations ensuring that the wells connection constraints are honored, the model's statistical properties being preserved. The efficiency of this workflow is discussed. A method for integrating faults and fractures patterns in calculations in complex cases is proposed. Once the stochastic realizations of a geostatistical model honor observed connections between selected points, it is interesting to characterize the connection for improving model QC. Some possible ways of using connected components in advanced models QC are suggested. In the end, some ideas for accounting for connection characteristics in geostatistical simulations are proposed.

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M-GS - New Spatial Estimation and Simulation Models for More Precision and More Realism

Cited by 7 publications

References 0 publications

3D Regional Velocity Modeling - North Sea

3D Regional Velocity Modeling - North Sea

North West Shelf 3D Velocity Modeling

Use of connection constraints for checking and enhancing geological models

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