Odin
Odin is a framework powered by AI, created to analyze and rank various complex assets, including both drilled and planned wells, equipment, and drilling crews. This product offers a straightforward method for such evaluations, allowing operators to rate these assets within individual sites, across multiple locations or over a period of time. Odin plays a crucial role in the planning phase of well construction, offering strategies to cut costs and accelerate project schedules, thereby enhancing the overall efficiency of well construction workflows.
Paradigm
A multi-metric-based approach where each metric in turn depends on multiple factors, is the basis of Odin. State-of-the-art explainable AI (XAI) techniques helped build a hierarchical and an analytically sound unifying scheme that supports easy roll/unroll for macro/micro-level analysis. Odin brings in synergy between multiple indices by using interdependent metrics and common factors.
Harness the power of the past to shape the future with our advanced analytics platform.
Application
Advantages
By learning from historical data, Odin intelligently groups assets through complex comparisons, allowing for nuanced understanding and strategic alignment. When a new asset emerges, it's swiftly categorized with the most fitting group, ensuring consistency and insight. The goal is to emulate the best-in-class, continuously evolving through learning and adaptive course corrections.
Odin enables real-time scoring and ranking, providing a powerful tool for monitoring and comparing well performance in various aspects. Users can assess how a well stacks up against its own historical data, as well as against other wells within the same cluster, offering a comprehensive view of efficiency and productivity of operations.
Odin allows for comparisons across different depth ranges and time intervals, giving users a detailed understanding of performance trends. Additionally, Odin's capabilities extend to evaluating the effectiveness of corrective actions, by allowing users to compare scores before and after such interventions. This real-time feedback loop is invaluable for making informed decisions and optimizing well operations on the fly.
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