Drill-Hub: AI-Driven Optimization of Future Drilling Centers Planning in Giant Offshore Fields Abu Dhabi

Abstract Planning future drilling centers is a highly complex process with multiple potential solutions, making manual screening and optimization infeasible due to the sheer volume of data and constraints involved. Drill-Hub, developed in house by Operating company, automates most of the workflows and optimizes drilling center planning by leveraging cutting-edge AI algorithms and advanced mathematical models. Drill-Hub encompasses six key modules: Drill-Hub 3D for precise well trajectory calculations, Drill-Hub GS for optimal drilling center placement via grid search, Drill-Hub Allocate for well-to-DC assignment using clustering and facility allocation algorithms, Drill-Hub FT for formation top calculations, Drill-Hub Maxi for constrained well trajectory optimization, and Drill-Hub Slot for efficient slot allocation. By evaluating billions of potential scenarios, Drill-Hub delivers precise and automated solutions, replacing traditional, time-consuming manual processes. The tool has been successfully implemented in several offshore fields, including both greenfields and brownfields, reducing cost by 3-6% in long-term project costs. Drill-Hub's deployment resulted in optimized well placements, reduced infrastructure costs, and significantly accelerated planning workflows. One of the key benefits of Drill-Hub is its ability to accelerate the drilling center planning process, which is often prone to frequent changes due to new data inputs. The automated workflows allow rapid re-evaluation of scenarios, reducing dependency on third-party contractors and enabling operating company to keep critical decision-making in-house, ensuring strategic control and operational efficiency.

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Publication Details

Journal
Offshore Technology Conference
Published
2025-04-28
DOI
https://doi.org/10.4043/35743-ms
Citations
1
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
2.13
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article

Drill-Hub: AI-Driven Optimization of Future Drilling Centers Planning in Giant Offshore Fields Abu Dhabi

Benoit Jaffres, Jose Victor Álvarez, Fatema Al-Zaabi, Rail Salimov et al.
1 citations
Offshore Technology Conference
Reservoir Engineering and Simulation Methods
2.13
article

Drill-Hub: AI-Driven Optimization of Future Drilling Centers Planning in Giant Offshore Fields Abu Dhabi

Benoit Jaffres, Jose Victor Álvarez, Fatema Al-Zaabi, Rail Salimov, Ahmed Abdelrahman, H. Al Kuwaiti, Elyés Draoui, Muna Al Hosani
article en
1 citations

Abstract

Abstract Planning future drilling centers is a highly complex process with multiple potential solutions, making manual screening and optimization infeasible due to the sheer volume of data and constraints involved. Drill-Hub, developed in house by Operating company, automates most of the workflows and optimizes drilling center planning by leveraging cutting-edge AI algorithms and advanced mathematical models. Drill-Hub encompasses six key modules: Drill-Hub 3D for precise well trajectory calculations, Drill-Hub GS for optimal drilling center placement via grid search, Drill-Hub Allocate for well-to-DC assignment using clustering and facility allocation algorithms, Drill-Hub FT for formation top calculations, Drill-Hub Maxi for constrained well trajectory optimization, and Drill-Hub Slot for efficient slot allocation. By evaluating billions of potential scenarios, Drill-Hub delivers precise and automated solutions, replacing traditional, time-consuming manual processes. The tool has been successfully implemented in several offshore fields, including both greenfields and brownfields, reducing cost by 3-6% in long-term project costs. Drill-Hub's deployment resulted in optimized well placements, reduced infrastructure costs, and significantly accelerated planning workflows. One of the key benefits of Drill-Hub is its ability to accelerate the drilling center planning process, which is often prone to frequent changes due to new data inputs. The automated workflows allow rapid re-evaluation of scenarios, reducing dependency on third-party contractors and enabling operating company to keep critical decision-making in-house, ensuring strategic control and operational efficiency.

Offshore Technology Conference
Abu Dhabi National Oil (United Arab Emirates) (AE)
Openalex Percentile: Top 15%
Reservoir Engineering and Simulation Methods
2.13
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