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DEMO2000-Prosj.ret tekn.utv. petro.virk

An "updated-while-drilling" Advisory system.

Alternative title: Automated Real-time Drilling Advisory system for operation optimization

Awarded: NOK 4.0 mill.

Project Number:

317901

Application Type:

Project Period:

2020 - 2022

Organisation:

Partner countries:

Energy companies have for decades leveraged eDrilling's world leading AI, Machine Learning and Predictive Analytics software to optimize well construction and drilling operations. Results from the project shows that these technologies now can be applied and add value to existing infrastructure, both addressing the cost savings needed for field life-extensions, and, perhaps most important, the all-important sustainability and carbon emission goals of the industry. In the "old" world, innovation often meant "rip and replace" old technology with new, with significant environmental impact. Reusing rigs and perfectly usable drilling-related equipment will make a significant initial saving by removing the need for the energy locked into new build materials and manufacturing. We have not calculated the tons of carbon dioxide (CO2) savings per rig, but it is compelling. Technologies have a substantial impact on operational CO2, as leveraging AI and Predictive Analytics software results in less time per well - both performance optimization, and the avoidance of non-geological incidents causing need for drilling of side-tracks. Moreover, the system has a substantial impact on operational CO2, as the system will result in less time per well (both performance optimization, and the avoidance of non-geological incidents causing need for drilling of side-tracks). Demand for contactless and/or low-touch activities are on the rise, and a requirement for mostly all product delivery and services to be less contact and touch. By enabling remote advisory, remote collaboration, and long-distance (team) learning, the system answers the challenges of the "new world of work" and will help ease, and even, accelerate workforce transformation.

A new product (wellGuide) have been made and released to the market. The products is an advisory tool with low deployment cost that can be used on both in a cloud environment and as a on-premises installation. The existing real-time drilling optimization product (wellAhead) will be updated with functionalities developed and tested in this project.

There is no tool in the market today able to provide an "updated-while-drilling" optimization of drilling parameters (flow, rotation speed and running speed) in real-time during operation and with the flexibility of using it on any existing legacy systems or modern systems. This tool will revolutionize in a national and international level the way of drilling wells for safer and optimal results. Model based reasoning in Artificial Intelligence (AI) with a Digital Twin combined with Machine Learning (ML) and advanced 3D visualization is a key enabler for operation alerts and optimization. Multiple forward-looking and what-ifs are done in real-time to find optimal parameters for flow, rotation and running speed. A Diagnostics module detects abnormalities and triggers safeguards. Auto-configuration and auto-calibration are key elements for Drilling Advisory system and deployment without need for back-office support. The personnel involved in the operation (drilling contractor, service provider and operator) will be able to quickly give necessary operational input and then the system will be auto-calibrated during the operation. The system can be easily integrated with other systems via various API available options. The common option is to automatically read the data from the company real-time data store or drilling control system. The system will then calculate the results every time-step and send the results back to the company’s real-time data store and/or Drilling Control System. This also means that models are updated every time-step to reflect the well behaviour in real-time. The front-end, to be used in front of the Driller and other directly involved personnel, consists of an open system capable of real-time 3D visualization of the drilling process (including tripping, casing/liner running and cementing). Data from other 3rd party systems can be visualized together with the Drilling advisory system recommendations to get the “full picture.

Funding scheme:

DEMO2000-Prosj.ret tekn.utv. petro.virk