All Days 2007
DOI: 10.2118/110044-ms
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A Triple-Continuum Pressure-Transient Model for a Naturally Fractured Vuggy Reservoir

Abstract: We present an analytical approach for pressure transient test analysis in naturally fractured vuggy reservoirs. This analysis approach relies on a triple-continuum concept, using observed geological data from carbonate oil formations in western China, to describe transient flow behavior in fracture-vug-matrix reservoirs. In the conceptual mathematical model, fractured vuggy rock is considered as a triple-continuum medium, consisting of fractures, rock matrix, and vugs (or cavities). Similar to the classical do… Show more

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Cited by 59 publications
(31 citation statements)
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“…The last is matching the numerical results with field data to estimate property parameters. Wu et al (2004Wu et al ( , 2007Wu et al ( , 2011) examined their numerical solutions using analytical solutions of single-phase flow by ignoring wellbore storage and skin effects (note that their numerical models did not consider the wellbore storage and skin effects). Numerical method can be used to study both multiple-and single-phase flows, however, analytical method for unsaturated reservoirs is more convenient than numerical method in real applications.…”
Section: Comparisons With Earlier Numerical Studiesmentioning
confidence: 99%
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“…The last is matching the numerical results with field data to estimate property parameters. Wu et al (2004Wu et al ( , 2007Wu et al ( , 2011) examined their numerical solutions using analytical solutions of single-phase flow by ignoring wellbore storage and skin effects (note that their numerical models did not consider the wellbore storage and skin effects). Numerical method can be used to study both multiple-and single-phase flows, however, analytical method for unsaturated reservoirs is more convenient than numerical method in real applications.…”
Section: Comparisons With Earlier Numerical Studiesmentioning
confidence: 99%
“…The pressure derivative curve is fluctuant. In fact, many well testing data are irregular (Carnegie et al 2009;Setiawan et al 2011;Wu et al 2007) possibly due to unidentifiable noise. Therefore, we smoothed the pressure derivative curve using a General least-squares smoothing technique (McDonald et al 2009;Nisbet et al 2009).…”
Section: Field Data Interpretationmentioning
confidence: 99%
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