University of Stavanger Master Program: Reservoir Engineering; - - PowerPoint PPT Presentation

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University of Stavanger Master Program: Reservoir Engineering; - - PowerPoint PPT Presentation

Mar 10, 2023 550 likes •796 views

Universidad Mayor de San Andres University of Stavanger Master Program: Reservoir Engineering; Exploration, Evaluation and Environment MSC. ING. MARCO A. MONTESINOS M. MSC. ING. SALVADOR Y. LIMACHI L. Schedule Master Modules Summary

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Universidad Mayor de San Andres University of Stavanger

  • MSC. ING. MARCO A.

MONTESINOS M.

  • MSC. ING. SALVADOR Y. LIMACHI

L.

Master Program: Reservoir Engineering; Exploration, Evaluation and Environment

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Schedule

Master Modules Summary Salvador's thesis

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Stochastic facies modeling applied to a geologic 3D grid

  • MSC. ING. SALVADOR Y. LIMACHI L.

UNIVERSIDAD MAYOR DE SAN ANDRÉS

FACULTAD DE INGENIERÍA CARRERA DE INGENIERÍA PETROLERA INSTITUTO DE INGENIERIA PETROLERA

MAESTRIA EN INGENIERIA DE RESERVORIOS; EXPLORACION, EVALUACION Y MEDIO AMBIENTE- PRIMERA VERSION

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Objective

  • Model sedimentary

facies applying a geostatistic algorithm in a geological 3D grid taking in count seismic attributes.

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What is Facies? Classification

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Industry context

Preparacion de datos e interpretacion sismica Modelado Petrofisico Modelado de Facies Modelo estructural Upscaling & Post-procesos Diseño de pozos Analisis de incertedumbre

(Zakrevsky, K. E., 2011)

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Importance

SIS realización final

Porosidad (Zakrevsky, K. E., 2011)

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Geoestatistics

Geological data context Spatial data relationship

Important part in quantitative numerical models

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Seismic atributes

Coherence

(Catuneanu, 2006)

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(Posamentier & Allen, 1999)

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Fuente: (Gluyas & Hichens, 2003)

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(Gluyas & Hichens, 2003)

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Coherence Distribucion Sand=36%, Fine Sand=18%, Coarse Sand =10%, Shale = 36%

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Coherence Distribucion Sand=36%, Fine Sand=18%, Coarse Sand =10%, Shale = 36%

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Coherence Distribucion Sand=36%, Fine Sand=18%, Coarse Sand =10%, Shale = 36%

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Conclusions

Optimun vertical layer resolution found. Seismic attributes allow to get better tendency representation Faults do not have influence to identify sedimentary bodies Well data is key to integrate seismic, geology and stratigraphy

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Thank you for your attention