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DIGITALIZATION

The refracturing market is undergoing a major transition as operators work to unlock additional recovery from existing wells while minimizing operational risks. Industry forecasts indicate that digitally enabled refracturing programs will expand significantly over the next decade, driven by rising demands for reliable domestic supply and the need to enhance efficiencies in unconventional basins. Companies are now implementing advanced modeling tools, integrating real-time data acquisition, and applying machine learning–assisted forecasting to optimize refrac designs. Early adopters have reported measurable improvements in well-level economics and greater consistency in performance across asset portfolios.

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Digitalization is particularly valuable for refracturing because mature wells contain extensive historical data required to model subsurface behavior. The growth of digital twins enables engineers to create dynamic replicas of reservoir and wellbore conditions, allowing stimulation strategies to be evaluated before operational implementation. As these methods advance, refracturing is expanding into new applications, including the revitalization of legacy shale assets, targeted stimulation of underperforming zones, and efficiency-focused redevelopment programs across both conventional and unconventional fields. Analysts forecast that by 2030, a significant share of incremental production in key basins will result from optimized refracturing rather than from new drilling.

Operators across North America, the Middle East, and Asia are investing in digital infrastructure that enhances refracturing decision strategies. Upstream service companies are likewise developing specialized tools for zonal isolation, diagnostics, fiber-optic measurements, and comprehensive wellbore assessments. Intelligent surveillance helps determine the optimal timing for a refrac, thereby reducing economic uncertainty. With digital workflows incorporated into completion planning, it is now possible to forecast post-refrac uplift with greater accuracy and to customize stimulation designs at the individual well level.

The strength of digital refracturing lies in its scalability. A modern refrac program can be implemented across multiple wells, each supported by simulation models that evaluate stress shadowing, cluster activation behavior, perforation efficiency, and reservoir depletion patterns. These insights enable operators to develop field-wide strategies that maximize returns on invested capital. As more basins apply these approaches, refracturing is rapidly evolving into a mainstream redevelopment solution rather than remaining a specialized operational practice.

New Operating Realities Demand Adaptable Technology

Sustained recovery depends on a robust digital foundation. Remote monitoring, continuous data integration, and automated workflows are now essential to refrac planning. High-resolution subsurface imaging technologies enable operators to identify bypassed zones and previously mapped fracture pathways. Data fusion, which integrates production history, geomechanical models, and microseismic interpretations, provides a clearer understanding of well performance potential.

Transport, logistics, and supply chain reliability remain critical, particularly in regions with challenging field conditions. Technology providers are creating smart-field platforms that coordinate equipment readiness, workforce alignment, and materials utilization. These solutions enable operators to maintain more predictable schedules and minimize operational downtime, a crucial requirement for large-scale refrac programs.

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Topics on the agenda

USING REAL-TIME AI ANALYTICS TO DE-RISK AND OPTIMIZE REFRACTURING OPERATIONS

Day 1: undefined

13:30 - 13:55

USING PHYSICS BASED PROXY MODELING TO ASSESS INFILL DEVELOPMENT PROGRAMS

Day 1: undefined

14:00 - 14:25

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