Suboptimal efficiency coefficient of the injected water unit
Suboptimal efficiency coefficient of the produced liquid unit
Lack of real-time processing of large volumes of unstructured data
High number of labor-intensive routine operations
Lack of a tool for forming injection well modes considering interference
Lack of a unified methodology for optimizing injection with mutual influence of several wells and water influx risks
Automatic formation of areas with maximum hydrodynamic connectivity between wells, including producing ones
Calculation of optimal injection modes with any limitation scenario
Reduction of unproductive injection volumes without loss of oil production
A separate neural network is created and trained for each area, taking its features into account
A hybrid function for minimizing water cut and maximizing oil production is used when searching for optimal modes
Optimal redistribution of current injection with increased oil production
Filtering and restoring data
Finding hydrodynamic connectivity coefficients of wells
Identifying groups of wells with maximum mutual influence, reducing the dimensionality of the problem
Building a neural network proxy model for each cluster to assess well flow rates
Solving the inverse optimization problem
To calculate the implementation cost, please leave a request and we will contact you.