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Abstract

Summary

The integration of dynamic data in the characterization of a fractured carbonate reservoir contributes to uncertainties reduction and construction of more reliable simulation models. This paper proposes the inclusion of pressure transient analysis with a probabilistic approach, in the characterization of a fractured carbonate reservoir to generation and calibration of stochastic discrete fracture network (DFN) models. The process aims to reduce uncertainty through the calibration of a set of realizations considering the well testing interpretation.

This work is supported by the pressure transient analysis performed in a reservoir located in Santos basin in Brazil´s pre-salt. The proposed methodology integrates the well testing interpretation considering their uncertainties, in the calibration and generation of stochastic sub-seismic fault models based on fractal hypothesis. We choose some realizations considering the faults density that crosses the wellbore be consistent with the borehole image logs and calibrated these realizations with the well testing. Later, we upscaled these models, imported the properties into numerical simulation models, and compared their results with those obtained by the simulation models generated before the proposed calibration.

Well test interpretation results showed characteristics of a fractured reservoir, presence of heterogeneities and boundaries. The analytical model used in the well test interpretation is supported by the borehole image logs, petrophysical data and seismic information. The inclusion of these results in the generation and calibration of DFN models allows us to obtain simulation results consistent with the well tests history, improving simulation models’ reliability. Likewise, this procedure reduced the high variability of the generated simulation models compared to simulation models corresponding to DFN models not calibrated. Additionally, the interpretation results enable us to estimate parameters of the reservoir and the well used in the numerical simulation model and also improve the characterization of the reservoir.

The main contribution of this work relies on the integration of pressure transient analysis considering uncertainties in its interpretation, into the calibration of stochastic DFN models. This methodology provides an alternative to the DFN models calibration that tries to reduce the variability and generate simulation models consistent with production data. Besides, we compare the DFN models calibrated by the proposed methodology with the DFN models not calibrated, revealing positive and negative aspects of this methodology.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.202035142
2020-09-14
2024-04-20

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Fractured Reservoir Characterization in Brazilian Pre-Salt Using Pressure Transient Analysis with a Probabilistic Approach
Conference Proceedings 2020, 1 (2020); https://doi.org/10.3997/2214-4609.202035142
/content/papers/10.3997/2214-4609.202035142
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