Hydrodynamic Modeling of Complex Carbonate Reservoirs Considering Facies Zonality

Hydrodynamic modeling is an important stage in the design of rational development of oil fields. However, the process of model creation is accompanied by a large number of difficulties associated with the uncertainty of reservoir properties. This problem is especially relevant when modeling complex carbonate reservoirs. One of the key parameters required to create a hydrodynamic model are the dependences of relative phase permeabilities. The standard approach is to create single dependences of relative phase permeabilities for the whole reservoir. However, at such an approach the peculiarities of filtration in separate zones of the formation are minimized. Within the framework of this study we have created a hydrodynamic model of the field characterized by a complexly constructed carbonate reservoir, taking into account the facies zonality in determining the dependences of relative phase permeabilities. In the course of the work the laboratory studies were linked to different facies zones of the deposit. For each facies zone, approximation of relative phase permeability dependences was carried out using LET model. The distribution of selected facies in the hydrodynamic model by specifying different regions in a three-dimensional grid was carried out, and the loading of dependences of relative phase permeabilities by facies zones was also carried out. According to the modeling results, it was found that the use of separate dependencies of relative phase permeabilities for each facies zone increases the convergence of technological indicators of development with the historical trend compared to the standard approach. The study also included the design of geological and technological measures on the modified model taking into account facies zonality. The designed measures allowed for 10 years of forecast calculations to increase oil production by 5551.5 c.u. in comparison with the basic calculation, with practically unchanged watercut – 1.2%.

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