Growth Drivers of Bakken Oil Well Productivity

• Published in: Natural resources research (New York, N.Y.) N.Y.), 2020-06, Vol.29 (3), p.1471-1486
• Main Authors: Attanasi, E. D., Freeman, P. A.
• Format: Article
• Language: English
• Subjects: Chemistry and Earth Sciences; Computer Science; Design optimization; Drilling; Earth and Environmental Science; Earth Sciences; Fossil Fuels (incl. Carbon Capture); Fractures; Geography; Hydrocarbons; Injection; Machine learning; Mathematical Modeling and Industrial Mathematics; Mineral Resources; Oil recovery; Oil wells; Original Paper; Permeability; Petroleum production; Physics; Productivity; Site selection; Statistics for Engineering; Sustainable Development
• ISSN: 1520-7439; 1573-8981
• DOI: 10.1007/s11053-019-09559-5

This paper identifies the drivers of the phenomenal growth in productivity in hydraulically fractured horizontal oil wells producing from the middle member of the Bakken Formation in North Dakota. The data show a strong underlying spatial component and somewhat weaker temporal component. Drivers of the spatial component are favorable reservoir conditions. The temporal component of well productivity growth is driven by increasing the number of fracture treatments and by increasing the volume of proppant and injection fluids used on a per fracture treatment basis. Random Forest, a nonparametric modeling procedure often applied in the context of machine learning, is used to identify the relative importance of geologic and well completion factors that have driven the growth in Bakken well productivity. The findings of this study suggest that a significant part of the well productivity increases during the period from 2010 to 2015 has been the result of improved well site selection. For the more recent period, that is, from 2015 through 2017, part of the improved well productivity has resulted from substantial increases in the proppant and injection fluids used per stage and per well.