The creation and matching of an integrated field model including a model for part of a giant field, well models and surface network model is considered here.

The integrated model was created using an innovative method of solving a unified system of equations that cover all the physical processes in the reservoir-well-surface network system; no integrator software was involved.

The project involves a history-matched dynamic model covering part of a giant field, a surface network layout and well constructions with the subsurface equipment parameters. These data were fed to a single software product to create a digital twin which would allow simultaneous work with both the reservoir and the network.

The approach enabled quick creation and matching of an integrated model with a lot of wells which can create forecasts for various operation modes and estimate the base case production for the infrastructure in place, as well as offers an option to connect new project wells to the current surface network.

Keywords:
artificial intelligence, asset and portfolio management, reservoir simulation, drillstem testing, flow in porous media, pvt measurement, drillstem/well testing, fluid dynamics, composition, priobskoye field
Subjects:
Reservoir Characterization, Fluid Characterization, Reservoir Fluid Dynamics, Reservoir Simulation, Formation Evaluation & Management, Asset and Portfolio Management, Information Management and Systems, Phase behavior and PVT measurements, Fluid modeling, equations of state, Flow in porous media
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