Integrated Rig Management Platform

Objectives/Scope: The Integrated Rig Management System provides the implementation of a comprehensive digital platform to manage, analyse and display drilling data coming from different sources (rig sensors, reporting, equipment description, engines data, …). This integration fulfils several objectives such as empowering analytics, automatizing reporting, supporting operations performance, and rig management. Methods, Procedures, Process: The system is made of 5 modules, of which 2 directly operated on the rig: and 2 collecting data from all rigs: A Reporting module that gathers a full set of daily reports such as DDR, HSE report and BHA assembly,… This module also provides a connection between the planned and realized activities, in order to support maintenance and logistics. A Multi-Wells/Rigs Performance module that displays benchmark analyses from all rigs, by type of operation, and equipment, giving a statistical indication on the technical limit to reduce invisible lost time or greenhouse gases emissions. A Real-Time Operations Monitoring module that supports ongoing activities with powerful analyses and insightful performance KPIs. This module also supports the Reporting through the recognition of main rig states by analysing rig sensor data. A Predictive module that uses a predictive algorithm to anticipate and avoid wellbore issues with a machine learning approach.• A Data Manager module that aggregates and processes the data coming from the drilling rigs, combining it with daily drilling reporting. Results, Observations, Conclusions: The values generated by this Integrated Rig Management System are supporting all main corporate objectives in terms of operations, logistics and carbon footprint. Regarding the operations, the system provides impartial and detailed KPIs on operation performances, in order to calculate the Invisible Lost Time to be eliminated in future operations. The system has demonstrated up to 8% time and cost reduction on entire well campaigns. For the logistics, the system crosses the near future activities with any rig resources (equipment, services, personnel, ⋯). Through specific APIs the system makes information available to third parties solutions for maintenance, logistics ad personnel management. A considerable amount of time is saved by the integration of operational and organizational systems. Finally, considering the carbon footprint, the system provides analyses on how much each operation consumes in terms of energy and makes recommendations on how many diesel engines must be kept running in each situation to minimize the related GHG emissions. Novel/Additive Information: The main innovation is the integration of different objectives into one single platform. Reporting data and rig sensor data are obviously creating a great value to operations, but less commonly they also create value for maintenance, logistics, and GHG reduction. The system is in a continuous stream of upgrades, in order to integrate gradually different rig components and generate value wherever possible in terms of cost, reliability, and environmental impact.