Data Analytics, Machine Learning & Artificial Intelligence Training Courses > Modelling Drilling Data with Statistics and AI in Python - Optimize Drilling Efficiency through Data Science Innovation
Code Date Format Currency Team of 10
Per Person*
Team of 7
Per Person*
Early Bird Fee
Per Person
Normal Fee
Per Person
PE2051 25 - 28 Aug 2025 Kuala Lumpur, Malaysia SGD 4,729 4,949 5,299 5,499
PE2051 25 - 28 Aug 2025 Kuala Lumpur, Malaysia USD 3,697 3,869 4,099 4,299

*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course date
Request for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements
Request for in-person classroom training or online (VILT) training format

Learn in teams and save more! Enjoy group discounts of up to 50% off normal fees for team based learning. Contact us on [email protected] to learn more today!

Code

PE2051

Date

25 - 28 Aug 2025

Format

Kuala Lumpur, Malaysia

Currency

SGD

Team of 10
Per Person*

4,729

Team of 7
Per Person*

4,949

Early Bird Fee
Per Person

5,299

Normal Fee
Per Person

5,499

Code

PE2051

Date

25 - 28 Aug 2025

Format

Kuala Lumpur, Malaysia

Currency

USD

Team of 10
Per Person*

3,697

Team of 7
Per Person*

3,869

Early Bird Fee
Per Person

4,099

Normal Fee
Per Person

4,299

*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course date
Request for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements
Request for in-person classroom training or online (VILT) training format

About this Training

This training course provides participants with a comprehensive understanding of how statistical methods and artificial intelligence can transform upstream drilling operations. Spanning four days, the program covers everything from descriptive statistics and hypothesis testing to advanced regression techniques and machine learning applications tailored to drilling data. Participants will gain a deep understanding of the unique characteristics of drilling datasets and learn how to extract actionable insights for operational improvements.

The course emphasizes practical applications, guiding attendees through hands-on exercises using Python’s popular libraries like Pandas, NumPy, and Scikit-learn. Participants will delve into predictive modelling techniques, feature engineering, and dimensionality reduction to optimize drilling efficiency and safety. Additionally, they will explore cutting-edge technologies, including natural language processing (NLP) and generative AI models, to automate and enhance report analysis.

By the end of the program, participants will have the tools and knowledge to implement real-time AI-driven solutions in their organizations. The course bridges the gap between data science and drilling engineering, preparing attendees to tackle modern challenges in the upstream energy sector using state-of-the-art statistical and AI methodologies.

Upon completion of this course, participants will be able to:

  • Develop proficiency in descriptive statistics, hypothesis testing, and regression analysis tailored to drilling operations.
  • Learn how to build, validate, and deploy machine learning models for predicting key drilling parameters.
  • Understand advanced data preparation and dimensionality reduction techniques to optimize machine learning models.
  • Use NLP techniques like sentiment analysis and topic modelling to extract actionable insights from unstructured text data.
  • Explore applications of large language models to automate report summarization and support decision-making processes.

This course is designed for professionals working at the intersection of drilling operations and data science. Attendees should have a technical background, preferably with experience in drilling, data analysis, or programming. Familiarity with Python is beneficial but not mandatory. This course caters to those looking to stay ahead in the digital transformation of the energy industry.

  • Drilling Engineers
  • Data Scientists involved in Well Engineering
  • Drilling Operation Managers
  • Petroleum Engineers and Data Analysts
  • Technical Consultants in Drilling and AI projects
  • Basic
  • Intermediate

This course employs a mix of interactive lectures, hands-on coding exercises, and case study discussions. Participants will engage in practical exercises using Python to analyze real-world drilling datasets and build AI models. Collaborative problem-solving sessions and group discussions further enhance understanding and application of the concepts. A significant part of the learning experience involves integrating Microsoft Azure into the workflow to demonstrate real-world scalability and deployment of AI solutions. This integration of Microsoft Azure ensures participants gain not only theoretical knowledge but also practical skills to operationalize AI solutions in upstream drilling operations, preparing them for industry-scale challenges.

Your expert course leader brings over two decades of expertise in data science, AI, and drilling operations. With experience at industry leaders like Halliburton and Microsoft, he has led transformative projects in digitalization, AI-driven analytics, and large-scale data systems. He has a proven track record of delivering innovative solutions in upstream drilling and energy workflows, making him a trusted expert in applying statistical and AI methodologies to the energy sector.

Unlock the potential of your workforce with customized in-house training programs designed specifically for the energy sector. Our tailored, in-house courses not only enhance employee skills and engagement but also offer significant cost savings by eliminating travel expenses. Invest in your team’s success and achieve specific outcomes aligned with your organization’s goals through our expert training solutions. Request for further information regarding our on-site or in-house training opportunities.

In our ongoing commitment to sustainability and environmental responsibility, we will no longer providing hard copy training materials. Instead, all training content and resources will be delivered in digital format. Inspired by the oil and energy industry’s best practices, we are leveraging on digital technologies to reduce waste, lower our carbon emissions, ensuring our training content is always up-to-date and accessible. Click here to learn more.

To further optimise your learning experience from our courses, we also offer individualized “One to One” coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.
Request for further information post training support and fees applicable

Learn what past participants have said about EnergyEdge training courses

The course effectively taught drilling analytics using Python through focused sessions, hands-on projects, and well-structured materials that demonstrated real-world applications. The course aligned well with career goals, providing practical insights and skills applicable to drilling operations. His engaging teaching style made complex topics accessible, creating a highly impactful and enjoyable learning experience.

Senior Drilling Engineer - US

The assignments, projects, and materials were great for learning Python and petrophysics. The provided GitHub repository allowed for collaboration and referencing classmates’ code, enhancing the learning experience. The course was challenging yet rewarding, and the instructor’s teaching made it both enjoyable and impactful, especially for someone new to data science.

Petrophysicist, Argentina

The course effectively reinforced advanced Python, petrophysics, and modeling concepts, offering a challenging yet enriching experience. The instructor’s clear teaching style made complex topics accessible, and the course provided a solid foundation to explore more advanced modeling concepts afterward.

Experienced Senior Petrophysicist - Argentina