Emmanuel Akinleye, Kayode and Olayinka Jinadu, Shereef and Nwaamaka Onwusi, Chinelo and Friday Okoh, Onum and Anebi Enyejo, Lawrence (2025) Optimizing Multistage Hydraulic Fracturing Techniques for Enhanced Recovery Efficiency in Tight Shale Formations Across United States. International Journal of Innovative Science and Research Technology, 10 (8): 25aug626. pp. 523-537. ISSN 2456-2165
Tight shale formations have emerged as a cornerstone of the United States’ unconventional hydrocarbon resources, offering significant potential for long-term energy security. However, unlocking these reserves requires advanced stimulation technologies to overcome the inherent low permeability of shale reservoirs. Multistage hydraulic fracturing has become a vital strategy to enhance reservoir contact and stimulate hydrocarbon flow. This paper explores the optimization of multistage hydraulic fracturing techniques aimed at improving recovery efficiency in various shale plays across the United States, including the Permian Basin, Bakken, Eagle Ford, and Marcellus formations. Emphasis is placed on understanding how fracture geometry, spacing, sequencing, and proppant distribution influence production outcomes. The study highlights key geological and operational factors that affect fracture propagation and reservoir connectivity, focusing on how these can be aligned to achieve higher recovery rates. Moreover, the integration of real-time monitoring, data analytics, and reservoir characterization tools is discussed as a means to support decision-making in complex shale environments. The research underscores the critical need for site-specific fracturing strategies that balance economic viability with environmental considerations. By optimizing multistage fracturing designs tailored to geological heterogeneity, the United States can continue to lead in unconventional resource development while maximizing output and minimizing operational risks in tight shale formations.
Altmetric Metrics
Dimensions Matrics
Downloads
Downloads per month over past year
![]() |