Improved Drilling Performance Using an Innovative Cloud-Based Ecosystem and Bespoke Operator Technology

Author:

Barry Jonathan1,Lee Melissa1,Bostick Tad2,Cheatham Curtis2,Maqui Agustin2,Schneider Chris2

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.

Publisher

SPE

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