The Pros and Cons of the Truncated Gaussian Method

Galli, Alain; Beucher, Hélène; Loc’h, Gaëlle Le; Doligez, Brigitte

doi:10.1007/978-94-015-8267-4_18

Cited by 123 publications

(66 citation statements)

References 6 publications

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“…The geological grid built for the reservoir zone contains about 3 ×10 6 cells, using a Cartesian grid with a definition of 2 m × 2 m × 0.25 m. The ten lithostratigraphic units are modeled independently using a stochastic approach, based on the truncated Gaussian method (Galli et al, 1994, Le Loch and Galli, 1996, Doligez et al, 1999, Eschard et al, 2002, Galli et al, 2006. The main geostatistical parameters which are used in the truncated Gaussian method are the vertical proportion curves, the matrix of proportions and the variograms, which are all computed from the maps and outcrop descriptions.…”

Section: Geostatistical Modelingmentioning

confidence: 99%

“…Truncation thresholds depend on the proportions of facies in each litho-unit and on the relationship between the different lithotypes (contacts and transitions). The Gaussian Random Function is stationary but the proportions (hence the thresholds) can vary in space (Beucher et al, 1993;Galli et al, 1994;Le Loch and Galli, 1996;Doligez et al, 2007). This method was applied to litho-units corresponding to point bar deposits (litho-units 1, 2 and 6), and to chute channels heterogeneously filled by sands and shales (litho-units 5, 8 and 9).…”

Section: Geostatistical Parametersmentioning

confidence: 99%

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Analysis of Heavy Oil Recovery by Thermal EOR in a Meander Belt: From Geological to Reservoir Modeling

Deschamps

Guy²,

Preux³

et al. 2012

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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Section: Geostatistical Modelingmentioning

confidence: 99%

Section: Geostatistical Parametersmentioning

confidence: 99%

Analysis of Heavy Oil Recovery by Thermal EOR in a Meander Belt: From Geological to Reservoir Modeling

Deschamps

Guy²,

Preux³

et al. 2012

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

View full text Add to dashboard Cite

show abstract

“…Truncated Gaussian simulation (TGS) (Matheron et al 1987) and Plurigaussian simulation (PGS) (Galli et al 1994) technique are two popular methods of reservoir modeling workflow for simulating lithotype and facies of sedimentary rocks. TGS technique is best suitable for reservoirs where the lithotypes occur in a sequential order and it helps in defining the geometry and internal architecture of the reservoir rocks (Armstrong et al 2003).…”

Section: Integrated Modeling Approachmentioning

confidence: 99%

An integrated approach to discretized 3D modeling of geomechanical properties for unconventional mature field appraisal in the western Canadian sedimentary basin

Saikia

Ikuku

Sarkar

2017

J Petrol Explor Prod Technol

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In mature field appraisal and development, discretized geomechanical property models play a vital role in providing information on in situ stress regime as a guide for placement of directional wells. Laboratory methods of measuring these properties, in most cases, take only small samples from consolidated rocks. These isolated samples may not be representative of the entire elastic regime existing in the reservoir owing to sample size. In general, geomechanical studies are performed on a well-by-well basis and then these measurements are used as calibration points to convert 3D seismic data (if available) to geomechanical models. However, elastic properties measured this way are restricted to the well location and interpolation across the reservoir may not be always appropriate. To overcome these challenges, this paper describes an integrated approach for deriving 3D geomechanical models of the reservoir by combining results of 3D geocellular models and basin models. The basin model reconstructs the geologic history (i.e., burial history) of the reservoir by back-stripping it to the original depositional thickness. Through this reconstruction, the mechanical compaction, pore pressures, effective stress, and porosity versus depth relationships are established. Next, these mechanical properties are discretized into 3D geocellular grid using empirical formulas via lithofacies model even if no 3D seismic data are available for the reservoir. The discretization of elastic properties into 3D grids results in a better understanding of the prevailing stress regimes and helping in design of hydraulic fracturing operations with minimal risks and costs. This approach provides an innovative way of determining effective horizontal stress for the entire reservoir through 3D distribution of elastic properties.

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“…The third step consisted of populating the fine grid geological model with facies referring to the non-stationary truncated Gaussian method (Galli et al, 1993). This stochastic simulation process accounted for well data and the 3D volume of proportions derived from the HR 3D base seismic .…”

Section: Geostatistical Geological Modelmentioning

confidence: 99%

History Matching of Production and 4D Seismic Data: Application to the Girassol Field, Offshore Angola

Roggero

Lerat

Ding

et al. 2012

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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The Pros and Cons of the Truncated Gaussian Method

Cited by 123 publications

References 6 publications

Analysis of Heavy Oil Recovery by Thermal EOR in a Meander Belt: From Geological to Reservoir Modeling

Analysis of Heavy Oil Recovery by Thermal EOR in a Meander Belt: From Geological to Reservoir Modeling

An integrated approach to discretized 3D modeling of geomechanical properties for unconventional mature field appraisal in the western Canadian sedimentary basin

History Matching of Production and 4D Seismic Data: Application to the Girassol Field, Offshore Angola

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