Session 5. Oral Presentation for: Real-time fracturing optimisation and US shale practices applied to the Beetaloo Basin

Presented on 19 May 2026: Session 5 Fracturing operations in remote, frontier basins present unique challenges related to logistics, data availability, and execution reliability. The Beetaloo Basin in Australia’s Northern Territory is an example of such an environment, combining high-stress reservoir conditions with extended supply chains, limited infrastructure, and seasonal operating constraints. This paper presents execution-related observations from recent hydraulic fracturing campaigns in the Beetaloo Basin, focusing on how data-enabled practices commonly applied in US shale operations were adapted to support completion activity in a developing basin. The campaigns discussed involved horizontal wells with extended laterals and multistagestimulation programs executed under remote operating conditions. Execution emphasized the use of real-time data to support equipment health monitoring, rate consistency during stimulation, and shared visibility of fracturing data between field and office-based teams. Continuous monitoring of equipment telemetry enabled proactive maintenance actions, while integrated rate control supported stable treating conditions in a high-stress environment. Live, customizable fracturing data streams facilitated collaboration across geographically distributed teams as operational experience evolved over the course of the campaigns. With these operational observations, early production results from stimulated wells have provided encouraging context for the underlying resource, with reported IP30, IP60, and IP90 flow results indicating sustained gas rates over extended test periods. Together, the execution experiences described in this paper and early production outcomes highlight the potential for applying US shale execution practices, supported by robust data utilization and conservative operational discipline, to frontier basin development. To access the Oral Presentation click ‘Supplementary data’ below. To read the full paper click here