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Efforts to Apply Machine Learning and Big Data Analytics Toward Enhanced Oil Recovery in the Bakken

Date Published: 1/31/2022
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Resource Abstract

Machine learning (ML) and big data analytics (BDA) (which are considered components of “artificial intelligence”) can provide valuable insights into production activities and support Bakken Production Optimization Program (BPOP) partners’ ability to increase production efficiency in North Dakota. The EERC conducted activities that addressed questions related to improving enhanced oil recovery (EOR) operations and developing long-term strategies for overall Bakken resource development. The activities focused on improvements to oil recovery using rich gas blends to alter wettability of Bakken reservoir rocks, methods for streamlining the modeling and simulation of hydraulically fractured reservoirs, and efforts to demonstrate the role ML and BDA can play in improving the technical and economic feasibility of EOR in the Bakken while informing long-term oil and gas development strategies for North Dakota.

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