Oil and gas drilling is in the midst of an important transition, moving from manual to automated well operations management. The convergence of real-time drilling analytics, such as big data and cloud computing, and other digital technologies is helping make it possible to tune your rig processes for optimal performance and longer producing life.
Now, you can confidently rely on Real-Time Well Engineering, a DecisionSpace® 365 cloud application, to help manage rigsite operations. Built from the ground-up using ground-breaking computation, this smart system automatically detects rig state and seamlessly couples engineering and system uncertainty models in real-time closed looped systems. It also facilitates the automation of broader E&P workflows, and effective operational decisions, which can improve drilling efficiency and performance of downhole tools to reduce well costs.
Improve Drilling Efficiency and Performance of Downhole Tools to Reduce Well Costs
Continuous, real-time monitoring of drilling data can enable early recognition of anomalies or deviations from plan, and applies analytics to re-compute and re-calibrate drilling parameters.
Automated, digital technologies empower faster and more effective decision making to help mitigate drilling risks and improve performance.
Deep data, physics-driven analytics feed various engineering models, help train machine learning (ML) models, and inform you of current uncertainty via microservices technology in the cloud.
An open, flexible architecture allows easy connection with 3rd party software applications to analyze drilling efficiency.
Solution Owner for Real Time Well Engineering, Edge, and Well Activity Program
Global Technical Advisor for Well Construction and RealTime