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INTEGRATED DATA ANALYSIS AND MODELING OF A HIGHLY HETEROGENEOUS CARBONATE RESERVOIR

巻 7, 発行 1, 2016, pp. 27-42
DOI: 10.1615/SpecialTopicsRevPorousMedia.v7.i1.30
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要約

This paper discusses the correlations and methodologies most suited for reservoir characterization of a highly heterogeneous carbonate reservoir with the objective of general application and improvement of dynamic model performance. The process includes integrated analysis of static and dynamic data at different scales and proper upscaling to dynamic model. Consistent data analyses and development of correlations for rock and fluid characterization with subsequent upscaling procedures resulted in reliable reservoir static and dynamic models. The dynamic model calibration is carried out at relatively reasonable time frame with minimal efforts. The study is performed using data of an Iranian gas-condensate carbonate reservoir. The core porosity/permeability data along with mercury injection information are used to group reservoir rock types (RRT). A form of saturation-height function (SHF) is used based on core/log/well-test data to generate fluid capillary pressure as a function of water saturation for each RRT class. Capillary pressure data were upscaled from laboratory to field scale based on the formation and flow tests measurements. In addition, the SHF was used to determine free-water level (FWL) in wells that did not penetrate the aquifer. This improved the estimate of gas-in-place. The relative permeability data were modeled using Corey's function with incorporation of procedures to determine connate water saturation, trapped gas saturation, and residual condensate saturation for each RRT class. A new method is proposed to pick the representative fluid samples (out of many) for pressure-volume-temperature (PVT) analysis and correct fluid modeling of the reservoir. Consistent and integrated data analysis and modeling tied properly with field scale tests guarantees a valid dynamic model which effectively saved time for history matching.

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