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Abstract

Summary

Dissolution of carbonates to create vuggy zones commonly found in carbonate rocks has been widely covered in the literature. Storage capacity and permeability of carbonates are functions of various processes including depositional environment, texture, diagenesis, burial and uplift, tectonic history, and the chronology of events. Porosity types and distribution are products and interactions of these processes. With this in mind, this study was undertaken on carbonate fields using static and dynamic resistivity borehole image logs, calipers, the presence of total or partial losses and other dynamic indicators. We applied point counting techniques for quantifying ramiform voids and cavities from image logs on a subset of data intersecting over 3,000 feet of these features. The objectives of this study are to investigate and quantify diagenetic dissolution features identified on image logs and to assess the impact on the development of non-matrix porosity. The normal procedure for quantifying reservoir porosity is by using core plugs and logs obtained across subsurface reservoirs or analogue outcrops. We note that these methods are applicable to pore types occurring in the sub-millimeter to a few centimeters range. Plug samples cannot be acquired for features bigger than a few centimeters and significant underestimation of any connected solution channels, large vugs and cavities in carbonates can occur. Even if plugs are selected, they should be devoid of any visible vugs and fractures and this creates a bias towards the lower end of the porosity spectrum. Using a borehole image log point counting technique on a very large database, we show how we can enhance porosity deduced from the subsurface in horizontal wells for the inclusion of these dissolution features in the 3D geological model.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.2023631017
2023-11-21
2025-07-20

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References

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/content/papers/10.3997/2214-4609.2023631017
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Secondary Porosity Quantification in Carbonates Based on Resistivity Borehole Image Logs
Conference Proceedings 2023, 1 (2023); https://doi.org/10.3997/2214-4609.2023631017
/content/papers/10.3997/2214-4609.2023631017
/content/papers/10.3997/2214-4609.2023631017
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