Machine-learning and data-driven techniques for oil recovery in the context of reservoir control and management

Abstract

In this project, we will leverage reservoir control and management (as example, the use of WAG injectionand/or advanced well control) methods to induce producing more oil production in oil field. Each oftechniques to be applied may have very different operations and, in this research, we will develop theappropriate machine-learning methods to evaluate data associate with each one of them to point out theirapplicability, pros and cons when targeting improving oil production in oil fields.