Training of machine learning models for well target recommendation

A system for placing one or more optimal infill well locations within a reservoir, the system comprising:

• a computer processor, and
• memory storing a data processing engine that includes instructions which are executable by the computer processor to:
• generate a first multi-dimensional reservoir model of a first reservoir that is parameterized;
• assign one or more numbers of well placements to the first reservoir model to generate a simulation model;
• apply a stochastic optimization process in a first simulation on the simulation model;
• determine one or more infill well locations based on the first simulation, the one or more infill well location satisfying a constraint of maintaining a physical distance from existing wells associated with the first reservoir that results in at least a percentage threshold amount increase in cumulative production relative to the production obtained without the one or more infill well locations for the total operation period of the first reservoir;
• in response to determining the one or more infill well locations based on the first simulation, generate training data for configuring a second multi-dimensional reservoir model;
• and
• generate using the second multi-dimensional reservoir model, one or more of:
• a pressure delta for one or more infill locations associated with a second reservoir, and
• a simulation opportunity index indicating reservoir properties for the one or more infill locations associated with the second reservoir.

A computer program for placing one or more optimal infill well locations within a reservoir, the computer program comprising a non-transitory computer-readable medium comprising code configured to:

• generate a first multi-dimensional reservoir model of a first reservoir that is parameterized;
• assign one or more numbers of well placements to the first reservoir model to generate a simulation model;
• apply a stochastic optimization process in a first simulation on the simulation model;
• determine one or more infill well locations based on the first simulation, the one or more infill well location satisfying a constraint of maintaining a physical distance from existing wells associated with the first reservoir that results in at least a percentage threshold amount increase in cumulative production relative to the production obtained without the one or more infill well locations for the total operation period of the first reservoir;
• in response to determining the one or more infill well locations based on the first simulation, generate training data for configuring a second multi-dimensional reservoir model;
• and
• generate using the second multi-dimensional reservoir model, one or more of:
• a pressure delta for one or more infill locations associated with a second reservoir, and
• a simulation opportunity index indicating reservoir properties for the one or more infill locations associated with the second reservoir.