Canada Spends Logo

Explorez notre analyse du budget 2026

Grant: Collaborative Research and Development Grants

University of Calgary

$200,000.00

Intelligent sensing and control of the drilling process for fully closed loop automated drilling systems

EF 2019-20

Résumé
The proposed CRD project, ""Intelligent sensing and control of the drilling process for fully closed loop automated drilling systems"" will seek to attain complete closed loop automated control of drilling operations. Closed loop control has been achieved for many surface operations, however, for operations requiring sensor feedback from downhole sensors - such as directional steering - humans remain in the loop because of significant delays in acquiring data and the small number of data points, typically limited to a few per minute. Attaining full closed loop automation of drilling operations will reduce drilling time and well incidents, increase safety, separate personnel from moving machinery and reduce environmental impacts.This proposal has two aspects: sensing and control. First, we will develop and validate soft sensors, by combining existing sensors with models, which then can be used as inputs into feed forward control systems. As part of this sensor improvement and integration, we will improve data management and analytics through applications of big data, machine learning and the Industrial Internet of Things (IIoT). Secondly, we will develop, validate and implement control strategies that streamline directional drilling operations and improve detection of and reaction to drilling incidents.This project promises to speed the adoption of IIoT and big data by the drilling industry and at the same timestrengthen Canada's IIoT, Artificial Intelligence and Energy industries.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
530374-2018
Name nom
Shor, Roman
Department département
Schulich School of Engineering
Organization id
11
Institution établissement
University of Calgary
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
200000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
300
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy resources (including production, exploration, processing, distribution and use)
Area of application fr
Ressources d'énergie (production, exploration, traitement, distribution et utilisation de l'énergie)
Research subject code
2302
Research subject group en
Fuel and energy technology
Research subject group fr
Combustibles et technologie de l'énergie
Research subject en
Petroleum engineering, oil and gas recovery
Research subject fr
Génie du pétrole, récupération du pétrole et du gaz
Installment
inst:1 - 2
Partie
1
Nb partie
2
Application title
Intelligent sensing and control of the drilling process for fully closed loop automated drilling systems
Keyword
NSERC
Application summary
The proposed CRD project, ""Intelligent sensing and control of the drilling process for fully closed loop automated drilling systems"" will seek to attain complete closed loop automated control of drilling operations. Closed loop control has been achieved for many surface operations, however, for operations requiring sensor feedback from downhole sensors - such as directional steering - humans remain in the loop because of significant delays in acquiring data and the small number of data points, typically limited to a few per minute. Attaining full closed loop automation of drilling operations will reduce drilling time and well incidents, increase safety, separate personnel from moving machinery and reduce environmental impacts.This proposal has two aspects: sensing and control. First, we will develop and validate soft sensors, by combining existing sensors with models, which then can be used as inputs into feed forward control systems. As part of this sensor improvement and integration, we will improve data management and analytics through applications of big data, machine learning and the Industrial Internet of Things (IIoT). Secondly, we will develop, validate and implement control strategies that streamline directional drilling operations and improve detection of and reaction to drilling incidents.This project promises to speed the adoption of IIoT and big data by the drilling industry and at the same timestrengthen Canada's IIoT, Artificial Intelligence and Energy industries.