Conditioning Geostatistical Models to Flow Meter Logs

Mezghani, M.; Lingen, P. van; Cosentino, L.; Sengul, M.

doi:10.2118/65122-ms

Cited by 9 publications

(3 citation statements)

References 5 publications

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“…Petrophysical properties were assigned to the fine-scale grid through an original inversion algorithm based on flowmeter data. 3 2. The stratiform Super-K intervals.…”

Section: Introductionmentioning

confidence: 99%

Integrated Study of a Fractured Middle East Reservoir With Stratiform Super-K Intervals–Part 2:Upscaling and Dual-Media Simulation

Cosentino

Coury

Daniel

et al. 2002

SPE Reservoir Evaluation &Amp; Engineering

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The paper describes the upscaling and reservoir simulation of a giant Middle East oil field, the geological modeling of which is described in a companion paper. 1 The main objective of the study was the simulation of the irregular water advance observed in some parts of the field as a consequence of peripheral water injection.Three scales of heterogeneity were identified in the characterization phase: the matrix, the stratiform Super-K intervals, and the fractures. To accommodate the different hydraulic properties of each heterogeneity system, a dual-media approach (dual porosity and dual permeability) was used.The assignment of the effective properties to the simulation grids (matrix and fracture grids) was performed independently for the three heterogeneity systems. In particular, the geostatistical facies model was upscaled with algebraic methods, while the stratiform Super-K layers and fracture properties were reproduced explicitly at the simulation gridblock scale through an original upscaling procedure.The history match was achieved in a short time by a small variation of the fractal dimension of the fracture distribution and without resorting to any local modification.Simulation results showed that the fracture system was the controlling factor in terms of water advance and breakthrough, while the impact of the stratiform Super-K layers proved to be of second order.In a later stage, the model was used to run production forecasts under different exploitation scenarios.The conclusions of this study indicate that for such porous and fractured reservoirs with stratiform Super-K occurrences, a detailed characterization of all the heterogeneity systems, coupled with a dual-media formulation, is necessary for accurate reservoir simulation and effective reservoir management.

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“…Petrophysical properties were assigned to the fine-scale grid through an original inversion algorithm based on flowmeter data. 3 2. The stratiform Super-K intervals.…”

Section: Introductionmentioning

confidence: 99%

Integrated Study of a Fractured Middle East Reservoir With Stratiform Super-K Intervals–Part 2:Upscaling and Dual-Media Simulation

Cosentino

Coury

Daniel

et al. 2002

SPE Reservoir Evaluation &Amp; Engineering

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“…While straightforward solutions are not available yet, several interesting approaches have been proposed 6,7 . The use of basic reservoir engineering sources as production and pressure data, flowmeter logs and Build-Up tests, may help the geologists to better define and characterize both lithounits and lithofacies.…”

Section: Basic Reservoir Engineeringmentioning

confidence: 99%

Geologically Oriented Geostatistics: an Integrated Tool for Reservoir Studies

Pelgrain¹,

Cosentino²,

Cabrera³

et al. 2002

Proceedings of SPE International Petroleum Conference and Exhibition in Mexico

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractGeostatistics has entered a new age. Until few years ago, geostatistics could still be considered a leadingedge technology, developed and applied by a handful of specialists. Today, geostatistics is routinely applied to most of the reservoir characterization projects worldwide, providing the 'quantitative geology' support needed in the reservoir simulation phase.This paper describes how a geostatistical model can be built by integrating all the information generated in the individual disciplines, namely Geophysics, Petrophysics, Sedimentology, Stratigraphy and basic Reservoir Engineering. This approach guarantees the internal consistency of the reservoir study and provides a robust model to be upscaled in the forward simulation phase. The information contained in the 3D geological model can also be averaged and exported to a conventional mapping algorithm, thus providing a consistent set of traditional 2D maps of reservoir properties (Net to Gross, net sand, porosity, permeability).A case study is presented, relevant to a Venezuelan oil and gas condensate field. The geostatistical model uses almost 400 wells and includes a stratigraphic section almost 3000 feet thick, with 60 productive sands and about 500 reservoirs. In this field, where a conventional map-based approach would have been a long and cumbersome job, the complete geostatistical model has been built and input to the simulator in less than 6 months. In such a context, geostatistics represented a fast and efficient tool for the integrated study.

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“…The use of basic reservoir engineering sources as production and pressure data, flowmeter logs and Build-Up tests, may help the geologists to better define and characterize both lithounits and lithofacies. While straightforward solutions are not available yet, several interesting approaches have been proposed 6,7 .…”

Section: Basic Reservoir Engineeringmentioning

confidence: 99%

Geologically Oriented Geostatistics: an Integrated Tool for Reservoir Studies

Lastang

Cosentino

Cabrera

et al. 2002

SPE International Petroleum Conference and Exhibition in Mexico

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Geostatistics has entered a new age. Until few years ago, geostatistics could still be considered a leadingedge technology, developed and applied by a handful of specialists. Today, geostatistics is routinely applied to most of the reservoir characterization projects worldwide, providing the 'quantitative geology' support needed in the reservoir simulation phase. This paper describes how a geostatistical model can be built by integrating all the information generated in the individual disciplines, namely Geophysics, Petrophysics, Sedimentology, Stratigraphy and basic Reservoir Engineering. This approach guarantees the internal consistency of the reservoir study and provides a robust model to be upscaled in the forward simulation phase. The information contained in the 3D geological model can also be averaged and exported to a conventional mapping algorithm, thus providing a consistent set of traditional 2D maps of reservoir properties (Net to Gross, net sand, porosity, permeability). A case study is presented, relevant to a Venezuelan oil and gas condensate field. The geostatistical model uses almost 400 wells and includes a stratigraphic section almost 3000 feet thick, with 60 productive sands and about 500 reservoirs. In this field, where a conventional map-based approach would have been a long and cumbersome job, the complete geostatistical model has been built and input to the simulator in less than 6 months. In such a context, geostatistics represented a fast and efficient tool for the integrated study.

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Conditioning Geostatistical Models to Flow Meter Logs

Cited by 9 publications

References 5 publications

Integrated Study of a Fractured Middle East Reservoir With Stratiform Super-K Intervals–Part 2:Upscaling and Dual-Media Simulation

Integrated Study of a Fractured Middle East Reservoir With Stratiform Super-K Intervals–Part 2:Upscaling and Dual-Media Simulation

Geologically Oriented Geostatistics: an Integrated Tool for Reservoir Studies

Geologically Oriented Geostatistics: an Integrated Tool for Reservoir Studies

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