This session: 28 Feb - 4 Mar 2027
This AI-Powered Drilling Engineering & Well Planning session in Amman (Jordan) runs from Sunday 28 February to Thursday 4 March 2027 (week 8, Q1 2027). It is the 1st of 2 dates in Amman (Jordan) in 2027, at a fee of £4,900, the same for each of them. Registration is open for this date. It is held in person.
| Dates | Sunday 28 Feb – Thursday 4 Mar 2027 |
|---|---|
| Week | 8 of 2027 |
| Duration | One week |
| Fee | £4,900 |
| Status | Open for registration |
| Format | In person |
Introduction
The integration of Artificial Intelligence (AI) into the oil and gas industry is transforming how drilling engineering and well planning are executed. By combining advanced data analytics, machine learning models, and real-time monitoring, companies can improve drilling accuracy, reduce risks, and significantly lower operational costs.
This course is designed to equip professionals with practical knowledge and tools to apply AI in drilling and well planning processes, enabling higher efficiency, safety, and profitability.
Course Objectives
- Understand the fundamentals of drilling engineering and AI applications.
- Analyze geological and geophysical data for optimal drilling site selection.
- Apply machine learning algorithms to predict well performance.
- Optimize the selection of drilling equipment and measurement tools.
- Manage drilling risks and reduce deviations during operations.
- Integrate real-time data into decision-making processes.
- Assess the economic and operational feasibility of drilling plans.
- Develop strategies to enhance overall drilling project performance.
Course Outlines
Day 1: Fundamentals of Drilling Engineering & AI Applications
- Introduction to drilling engineering and its role in the industry.
- Overview of AI technologies in the energy sector.
- Comparison of conventional vs. AI-driven drilling approaches.
- Data sources used in drilling operations.
- Opportunities and challenges of AI implementation.
- Practical exercise: Identifying AI applications in drilling operations.
Day 2: Data Acquisition & Processing
- Types of data in drilling operations.
- Data cleaning and preprocessing techniques.
- Merging geological data with actual drilling data.
- Using IoT for equipment monitoring.
- Ensuring data security and integrity.
- Practical exercise: Building a complete drilling data pipeline.
Day 3: Modeling & Predictive Analytics
- Introduction to predictive modeling in drilling.
- Designing machine learning models for well behavior prediction.
- Improving drilling site selection with predictive analytics.
- Early detection of operational issues using AI models.
- Case study: Optimizing a drilling plan with AI.
- Practical exercise: Training a predictive model for well performance.
Day 4: Advanced Well Planning & Risk Management
- AI-powered well planning strategies.
- Managing drilling risks and minimizing deviations.
- Optimizing the use of drilling equipment.
- Applying real-time analytics during drilling operations.
- Integrating monitoring systems with contingency plans.
- Practical exercise: Developing a complete AI-driven drilling plan.
Day 5: Evaluation & Continuous Improvement
- Key performance indicators (KPIs) for drilling success.
- Post-drilling data analysis and review.
- Updating and refining models based on past operations.
- Economic feasibility assessment of AI-powered drilling projects.
- Creating a continuous improvement roadmap.
- Practical exercise: Preparing a comprehensive drilling project report.
Why Attend this Course: Wins & Losses!
- Gain advanced skills in AI-powered drilling engineering.
- Improve drilling accuracy and reduce operational errors.
- Lower operational costs while increasing productivity.
- Enhance safety standards during drilling operations.
- Integrate real-time data into decision-making processes.
- Learn about the latest technologies in drilling and well planning.
- Apply hands-on experience through practical exercises.
- Foster innovation in drilling project management.
Conclusion
AI is reshaping the future of drilling engineering and well planning by delivering higher precision, reducing risks, and generating substantial operational and financial benefits.
This course offers the perfect blend of theoretical knowledge and practical applications, empowering participants to leverage cutting-edge AI solutions for maximum efficiency in drilling projects.
Good to know
How long is the course, and what are the daily hours?
This date lasts one week: 28 Feb - 4 Mar 2027. A one-week course is 20 hours over 5 days: 4 hours each training day (9am – 1pm). Timing and duration can be customised to your needs.
From the FAQ: What is my daily training agenda?
Which language is the course taught in?
Courses are offered in English and Arabic. The course language is officially English; on request, it can be delivered in Arabic while keeping the English terms.
From the FAQ: In which language do you offer your training courses?
Will I receive a certificate?
Yes. At the end of the course you receive the course certificate issued by BlackBird Training, with an online QR code to verify it.
From the FAQ: Do I receive the certificate at the end of the course?
How do I book, and when do I pay?
Choose Apply now and fill in the form; we guide you through the rest. The acceptance letter is sent within 24 hours of your registration. Payment is due at least 10 days before the course starts, online by credit card or by bank transfer.
From the FAQ: How can I register for a training course in BlackBird?, When do I get my Acceptance Letter?, When do I need to pay?, How can I pay for the course?
Can I cancel or send a colleague instead?
You can send a replacement delegate if you tell us one week before the course starts. Cancellation and refund terms are set out in the cancellation policy.
From the FAQ: Can I send a replacement delegate?
Enquire about this date
AI-Powered Drilling Engineering & Well Planning, Amman (Jordan), 28 Feb - 4 Mar 2027