Affiliation:
1. ExxonMobil Upstream Company, Spring, Texas, USA
2. Corva AI LLC, Houston, Texas, USA
Abstract
Abstract
This paper describes how an operator implements continuous improvement methodologies using real-time drilling data analytics in a novel cloud-based ecosystem. Standardized key performance indicators (KPIs) are benchmarked and tracked in real time for the entire drilling team to monitor and take corrective, collaborative action. In addition, the operator has implemented its own proprietary technology in the form of custom-built applications.
The methods in this paper are used in basins and environments globally. The underlying principle is simple: capture and visualize real-time data, measure and track rig fleet KPIs benchmarked against safe, iterative goals, and evaluate trends over time.
In practice, this often requires significant human resources. Advanced analytics tools now automate most of this process. Leveraging a wide range of purpose-built and custom applications to analyze real-time information and generate metrics, decision-makers can witness the effect of process change rapidly. Leadership focus on the specific KPIs emphasizes to the workforce the importance of using the noted tools to drive performance.