The paper will discuss the role of digital data in a performance management process implemented by the operator in 2005. The Fast Drill Process (FDP) has resulted in an 80% worldwide increase in average drilling footage per day since its implementation across 23 drill teams and numerous papers have described the workflow and specific operational practices (Dupriest, 2006, Dupriest et. al, 2010). However, the critical role of digital data within this process has not previously been discussed. Although FDP workflow is tailored to the operator's organization, there are many leanings discussed that are believed to be relevant to other data-driven field operations.

FDP is a continuous improvement workflow. As footage per day is increased, the next dominant factor limiting footage per day is identified and redesigned until some other factor becomes the limiter. The new limiter then becomes the object of redesign. Over a period of years, the pursuit of the next limiter has led to higher performance, but also to more complex operations. Continued gains have become increasingly dependent on the development of physics-based models and the collection of new types of data. We have observed a direct correlation between the level of data usage an operator can achieve at the rigsite and the drill team's performance.

This paper discusses some of the challenges that have arisen in deploying a data-driven workflow in an industry that has historically worked from empirical experience. Examples include actions taken to achieve the level of rigsite knowledge needed to sustain physics-based operations, steps taken to share critical data across global operations, the manner in which complexity impacts the use of digital data, and some of the specific types of performance limiters extended and new types of data that are being collected to support the physics-based models used to make the required real time decisions.

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