Abstract
Optimizing gas condensate reservoirs requires an adequate understanding of the flow behavior changes under various depletion cases and accurate estimates of reservoir properties of zones bearing condensate gas systems. The main objective of this study is to assess the well deliverability of a Libyan near-critical gas condensate field by simulating the actual pressure transient test and investigating the impact of various production scenarios on future well performance. Well, test data were evaluated using conventional interpretation techniques to estimate the average reservoir permeability, composite skin, and absolute open flow potential. A Cartesian compositional single well model was constructed to simulate the well A3 pressure transient test and design the field's relative permeability curves with a detailed description of the geological features near the wellbore and the rock and fluid properties. The well was then projected to different production scenarios, including various completion schemes, natural depletion, and gas cycling, to identify the optimum development option. Interpretation results indicated a considerable skin value mainly due to formation damage and reservoir heterogeneity rather than a condensate blockage. Formation damage was found to duplicate the effect of other skin components. The simulated vertical natural depletion case cannot sustain a plateau rate of 15 MMscf/d due to the damage around the well. However, this target plateau rate can be maintained for 11 years by stimulating the well primary production. Condensate recovery can be significantly enhanced to 58% by performing gas cycling at the initial pressure for ten years. This recovery can reach 64% using makeup gas.
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References
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Gadrbouh, R., Khazam, M. (2023). Well Deliverability Assessment of Libyan Near-Critical Gas Condensate Field. In: Çiner, A., et al. Recent Research on Sedimentology, Stratigraphy, Paleontology, Tectonics, Geochemistry, Volcanology and Petroleum Geology . MedGU 2021. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-43222-4_43
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DOI: https://doi.org/10.1007/978-3-031-43222-4_43
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