The current approach to dispatching is not necessarily optimum, often resulting in delays that leave producing assets down longer than they should be, and requires more travel time for equipment and crews. IronSight aims to provide an artificial intelligence solution that will identify the best economic outcome.
IronSight is a disruptive innovation that is revolutionizing an industry struggling with pen & paper, intuition, and labor-intensive processes to manage complex logistics. It is a software that strengthens the link between oil & gas personnel and their service providers through data-driven dispatching. IronSight uniquely offers platforms for all parties required to take jobs from inception to completion:
- Job requesters in the field utilize a mobile app to quickly send detailed job requests to a web-based Dispatch Hub. They can monitor service arrival times on a live map, communicate with directly with service providers, and edit upcoming job requests. This results in more effective job sequencing and less time wasted with inefficient communication.
- When the job reaches the Dispatch Hub, an algorithm assigns it to the optimal service provider based on their availability, expertise, equipment and real-time GPS location. A coordinator with a live map and drag-drop scheduler of the entire field can confirm and manually adjust dispatching decisions by the algorithm, so the human insight is not lost. All schedule changes are instantly communicated to appropriate IronSight users.
- Service providers open the app to view, activate, and complete assigned jobs. Automated job status and GPS updates keep everyone apprised of arrival times and hours charged. The tracking of location and job performance motivates service providers to complete their work in the safest and most efficient manner possible.
- All job data is collected for managers make informed operational decisions by monitoring KPIs with IronSight’s business intelligence.
The immediate development goal for IronSight is to expand the artificial intelligence and machine learning capabilities. Combined with real-time supervisory control data from the field, IronSight’s intelligence system will detect well issues and automatically arrange all remedial services.
Pack Energy Services, which started out as a service truck provider, developed IronSight in 2014 as an in-house dispatching tool. After years of a prolonged oil downturn, Pack Energy steadily saw decrease in demand for service trucks and increase in demand for IronSight as the industry sought to reduce operational cost through innovation. It became clear that it was time to sell all trucking assets and focus solely on the software product.
A producer with a large cyclic steam stimulation field in Alberta adopted IronSight in early 2017. It resulted in a 38% increase in field service efficiency and plans are underway to introduce the system into their overseas fields. Three other CSS and SAGD facilities in the region have heard about the success and are planning trials for early 2018.
Who Should Attend:
- Production Mangers/Superintendents/Engineers
- Well Servicing/Completion Manager/Superintendents/Engineers
- Drilling Managers/Superintendents
- Technology representatives
- Maintenance Mangers
11:45 AM – Registration and Lunch
12:00 PM – Presentation and Discussion
1:00 PM – Adjournment
Pre-Event Fee (before noon February 7)
PTAC Member: Free
Non-Member: $50.oo +GST
PTAC Member: $25.00 +GST
Non-Member: $75.00 +GST