Optimization of the process of oil reservoirs water-flooding with account of reservoir properties heterogeneity
UDC: 622.276.43
DOI: 10.33285/0207-2351-2022-7(643)-25-31
Authors:
GULIEV RAMIL Z.1
1 Northern (Arctic) Federal University named after M.V. Lomonosov, Arkhangelsk, Russia
Keywords: reservoir heterogeneity, permeability, optimization, Hook – Jeeves algorithm, smart wells
Annotation:
Hi-tech equipment (THE) or a smart well (SW) are a special type of wells equipment, which includes inflow control devices that are installed in the area of wells perforation intervals, and with the help of which it is possible to control fluid inflow (production well) or a reagent injection (injection well).
Currently, control devices of oil inflow are divided into two types: passive type inflow control devices (ICD) – their configuration is set before running into the well, and active type inflow control devices (ICV) – their configuration can be changed directly in the well by control from the surface through the control station and fiber optic communications.
With the development of computer technologies, reservoir simulation tools and fiber optic communication, the hi-tech devices of smart wells are becoming more relevant. In this regard, further development of the methods for modeling and optimizing the inflow control devices is required. Hydrodynamic reservoir simulation is a very powerful tool for modeling the development of oil and gas fields. Therefore, with all other tools availability, it is the simulation of the smart wells using hydrodynamic simulators will most accurately reflect the development process when installing the inflow control devices in the well.
The article considers the numerical solution of the problem of optimizing the water-flooding of an oil reservoir, taking into account the heterogeneity of reservoir properties.
The analysis of smart wells (wells with hi-tech devices) is presented, the model problem – a sector model with a heterogeneous reservoir as well as the implemented Hook – Jeeves optimization algorithm are described in detail, the results of the experiment that demonstrated the success of the optimization algorithm implementation and the growth of key technological development indicators are analyzed as well.
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