An Interactive 5-Day Training Course
Real-Time Drilling Data & Remote Operations Centres
Data from Rig to Centre
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Duration
5 Days
Price
$ 3,000
Starting From
01 Nov 2027
Real-Time Drilling Data & Remote Operations Centres
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Real-Time Drilling Data & Remote Operations Centres - DC-RTD-PEA27
| Code | Date | Time | Duration | Location | Currency | Early Bird Fee Per Person |
|---|---|---|---|---|---|---|
| DC-RTD-PEA27 | 01 - 05 Nov 2027 | 10 AM CST | 4 Hours / Day |
Online |
USD |
3000 |
Need this for a group? We deliver the same course in-house — face-to-face at your location or online — tailored to your assets and team level. Contact info@peassociations.com
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Real-Time Drilling Data & Remote Operations Centres
This course covers real-time drilling data systems and remote operations centres. Participants study data acquisition and transmission, standards and interoperability, data quality, real-time visualisation and analytics, drilling advisory systems, remote operations centre design and staffing, decision authority, communication protocols, cyber security and value assessment.
Description
Real-time drilling data links the rig to onshore specialists, allowing wells to be monitored and supported from an operations centre. Where it works, problems are seen sooner, expertise reaches more wells and fewer people are needed at the rig. Where it fails, it produces screens nobody watches and advice nobody follows.
This course covers the technical and organisational sides. It starts with data acquisition at the rig, sensors, aggregation and transmission, then covers data standards, interoperability and the interfaces between service company and operator systems. It covers data quality, latency and validation, real-time visualisation and analytics, and drilling advisory and automation systems. It then covers remote operations centre design, staffing models, roles and decision authority, communication protocols between centre and rig, shift handover, cyber security for connected operational systems, and the measurement of value delivered by real-time support.
The organisational design matters more than the technology. A centre with clear roles, defined decision authority and agreed communication protocols adds value; one where onshore staff watch screens and offer opinions without accountability creates friction with the rig and is eventually ignored. Deciding who decides what is the first design question.
Data quality determines trust. Sensors that drift, depth that is wrong, gaps in transmission and inconsistent tag naming produce analysis nobody believes, and once the rig stops trusting the centre's data the relationship is hard to recover. Validation at source and visible data quality indicators are therefore part of the system rather than an afterthought.
Value should be measured. Real-time operations centres are usually justified by avoided incidents and improved performance, both of which can be tracked if the baseline is defined. Centres that never measure their contribution tend to be cut in the next cost reduction, regardless of whether they were working.
By the end of this training, participants will be able to:
- Describe rig data acquisition, aggregation and transmission systems.
- Apply data standards and manage interoperability between systems.
- Assess and manage data quality, latency and validation.
- Design real-time visualisation for different users.
- Apply analytics and drilling advisory systems to real-time data.
- Design remote operations centre layout, staffing and roles.
- Define decision authority between centre and rig.
- Establish communication protocols and handover practice.
- Apply cyber security measures to connected operational systems.
- Measure and report the value delivered by real-time operations.
The course is instructor-led. Data systems and architecture are covered with real configurations, and participants design a remote operations centre including staffing, roles, protocols and performance measures. Cases cover centres that delivered measurable value and centres that were closed, with the reasons. Participants are encouraged to bring their own systems for discussion.
Organisations sending participants to this training will:
- Detect drilling problems earlier through real-time monitoring.
- Extend specialist support across more wells with fewer people.
- Improve data quality and trust between rig and office.
- Define decision authority and avoid friction with rig teams.
- Measure and demonstrate the value of real-time operations.
Participants will:
- Understand real-time drilling data systems end to end.
- Be able to assess and improve data quality.
- Be able to design centre roles, protocols and authority.
- Understand analytics and advisory systems and their limits.
- Be able to measure the value of real-time support.
- Drilling engineers and real-time support staff
- Remote operations centre personnel
- Drilling data and digital staff
- Rig site supervisors interfacing with centres
- Service company real-time engineers
- Managers designing or assessing operations centres
Module 1: Rig Data Acquisition
- Sensors and measurement at the rig
- Data aggregation systems
- Service company and contractor data sources
- Sampling rates and resolution
- Common acquisition problems
Module 2: Transmission and Standards
- Transmission methods and bandwidth
- Industry data standards
- Interoperability and interfaces
- Tag naming and mapping
- Data contracts with service providers
Module 3: Data Quality
- Sensor drift and calibration
- Depth and time alignment
- Gaps, spikes and duplicate data
- Validation at source
- Quality indicators for users
Module 4: Visualisation
- Designing displays for different users
- Rig floor, office and management views
- Alarm and exception displays
- Avoiding information overload
- Mobile and remote access
Module 5: Analytics and Advisory Systems
- Real-time analytics applications
- Drilling advisory and optimisation systems
- Automated detection of drilling problems
- Model-based monitoring
- Limits and false alarm management
Module 6: Operations Centre Design
- Physical layout and facilities
- Coverage models and staffing
- Multi-well and multi-asset support
- Roles and competence requirements
- Fatigue and shift management
Module 7: Decision Authority and Protocols
- Defining who decides what
- Advisory versus directive support
- Escalation routes
- Communication protocols with the rig
- Documentation of decisions
Module 8: Cyber Security
- Operational technology security risks
- Network segregation and access control
- Remote access management
- Incident response
- Standards and compliance
Module 9: Value Measurement
- Defining the baseline
- Avoided incidents and performance gains
- Cost of the centre
- Reporting value to management
- Sustaining the centre over time
Upon successful completion of this training course, delegates will be awarded an official Certificate of Completion issued by the Petroleum Engineers Association (PEA), an ISO 9001:2015 certified training organization. The certificate carries 10 Credits and formally records the total learning hours completed.
Each certificate is signed by the Course Facilitator and the CEO of the Petroleum Engineers Association, and serves as verifiable proof of professional training that delegates can present to employers and professional bodies worldwide.
Frequently Asked Questions
All course bookings made through PEA are strictly non-refundable. By registering for a course, you acknowledge and accept that all fees are payable in full and are not subject to refund under any circumstances, including changes in personal or professional commitments or partial attendance.
PEA reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Comprehensive details of each course — including objectives, target audience, and content — are clearly outlined before enrolment, and it is the responsibility of the delegate to ensure the course's suitability prior to booking.
For any inquiries related to cancellations or bookings, please contact our support team, who will be happy to assist you.
