Machine learning models to support reservoir production optimization

Traditionally, numerical simulators are used in combination with an optimization algorithm to determine optimum controls that maximize total oil production or net present value (NPV) over the life of the reservoir. These simulators are complex dynamic models that consider geological information, rock and fluid properties, as well as information about the completion of the wells. This complexity results in a high computational time and pose a...