Data Analytics, Machine Learning & Artificial Intelligence Training Courses

Smart Oilfield and Sensor Technology

This comprehensive 5-day course provides an in-depth exploration of smart oilfield and sensor technologies, equipping participants with the knowledge and skills to optimize hydrocarbon recovery through advanced digital solutions. The program begins with an introduction to smart wells and smart reservoirs, setting the foundation for understanding the principles of system optimization and control in the oil and gas industry.

Digital Oilfield: Managing Integrated and Digitalized Oil and Gas Assets- Digital Transformation from Theory to Practical Application

This course is designed to provide in-depth knowledge and practical insights into the implementation of digital technologies within upstream and midstream operations. The course will cover a comprehensive range of topics such as enabling technologies, real-time data collection, collaborative working, advanced digital technologies like Industrial Internet of Things (IIoT) and analytics, as well as the importance of change management. This course aims to equip participants with the necessary ex...

Power BI® – Business Data Analytics

This 3 full-day training course will introduce participants to the Microsoft Power BI® software solution for extracting, manipulating, visualising and analysing data. This is a very practical, hands-on course that takes participants through a series of exercises which help users understand the Power BI® environment, how to use the key areas of functionality, and how to apply the tools it contains to design and produce analyses of their own data.

Transforming Offshore Operations Embracing Unmanned Frameworks

Assessment Based Training - Python Programming & Analytics for the Oil & Gas Sector - Maximising Value from Data Assets

In the upcoming digital era, Python stands out as the language of the future for effective AI and data analytics implementation, particularly in the Oil and Gas sector. Its widespread adoption is attributed to extensive libraries, versatility, and a thriving community of developers consistently pushing the boundaries of the field. This training course will tailor a transformative learning experience for professionals in oil and gas.

Subsurface Uncertainty Quantification using Machine Learning- Improved Reservoir Management through Data Driven Predictions

Quantifying uncertainty in subsurface environment is a complex challenge that machine learning techniques can effectively address and assist. The heterogeneous nature of subsurface formations, characterised by varying properties like porosity and permeability, often defies traditional modelling approaches. Machine learning algorithms excel at identifying patterns in this complexity, offering insights that conventional models might have missed. The energy sector's data acquisition limitations ...

Apollo Root Cause Analysis™ Methodology - Solve Complex Problems and Prevent Recurrences of Failures

The Apollo Root Cause Analysis™ methodology course is a comprehensive 2-day training designed to equip participants with the essential skills and knowledge for effective problem analysis and investigation. This course is particularly beneficial for professionals who regularly encounter incidents or failures that could recur, including those who lead investigations and produce reports.

Budgeting & Forecasting In The Artificial Intelligence Era - Empowering Energy Finance Professionals

This dynamic 2-day training course is tailored for finance and accounting professionals in the energy sector. The participants will gain advanced Excel and Power BI skills, as well as the knowledge and skill to apply the power of AI to their processes. The participants will understand how ChatGPT works, how to leverage AI for enhanced budgeting and forecasting, and how to address confidentiality concerns.  The course showcases AI’s role in Power BI for analysis and reporting, as well as how ...

Transforming Offshore Operations Embracing Unmanned Frameworks

Power BI® – Business Data Analytics

This 3 full-day training course will introduce participants to the Microsoft Power BI® software solution for extracting, manipulating, visualising and analysing data. This is a very practical, hands-on course that takes participants through a series of exercises which help users understand the Power BI® environment, how to use the key areas of functionality, and how to apply the tools it contains to design and produce analyses of their own data.

Smart Oilfield and Sensor Technology

This comprehensive 5-day course provides an in-depth exploration of smart oilfield and sensor technologies, equipping participants with the knowledge and skills to optimize hydrocarbon recovery through advanced digital solutions. The program begins with an introduction to smart wells and smart reservoirs, setting the foundation for understanding the principles of system optimization and control in the oil and gas industry.

Gas Lift Design & Optimization using NODAL Analysis

This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts.

Data Analytics Workflows for Artificial Lift, Production and Facility Engineers

In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing.

Artificial Lift and Real-Time Production Optimization in Digital Oilfield

This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization.

The Automated Oilfield: AI and Drilling Optimization

This 2 full-day course explores real-world applications of automation, types of automated drilling systems, monitoring & control techniques, simulation implementation, and more. Attendees will gain insights into developing a strategic roadmap to integrate automation, including human-machine interaction considerations.

Digital Innovation in Oil and Gas - Virtual Instructor Led Training (VILT)

This course provides a comprehensive exploration of the transformative impact of digital technologies in the energy sector. Participants will gain a deep understanding of how digital innovation is revolutionizing exploration, production, supply chain management, and sustainability efforts within the oil and gas industry.

Introduction to Data Analytics & Visualization

The aim of this 2 full-day course is to enable participants to understand the process behind Data Analytics or Data Science, equip them to find opportunities from their data to make better business decisions as well as apply the insights obtained from the data to identify potential gaps and develop improvements needed in the business.

CCS Analytics: AI-Based Carbon Capture & Storage

This 3-day training will focus on how to enhance your CCS strategies with the latest innovative technologies.

Fundamentals of E&P Data Management – Virtual Instructor Led Training (VILT)

The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments.

Assessing and Managing Cyber Security Risks for Essential Services Operators – Virtual Instructor Led Training (VILT)

This 3 half-day Virtual Instructor Led Training (VILT) course will help participants grasp the idea of real-world risk management and how this relates to the cyber world. It will cover topics surrounding identifying cyber risks and vulnerabilities, guidance on applying administrative actions, and comprehensive solutions to ensure your organization is adequately secure and protected.

Practical Machine Learning Methods in Geoscience - Virtual Instructor Led Training (VILT)

Our 5 half-day Virtual Instructor Led Training (VILT) course introduces key concepts in Machine Learning (ML) and shows how they can be applied to geoscience data.

Refinery Asset Performance Analytics & Digital Twins – Virtual Instructor Led Training (VILT)

This 4 half-day Virtual Instructor-Led Training (VILT) course discusses Asset Performance Analytics (APA) in a Refinery. It addresses the fundamental business problems to yield a Smart Digital Twin, providing an end-to-end centralized perspective of all critical operations.

Computer Vision and Real-Time Analytics – Virtual Instructor Led Training (VILT)

This 4 half-day Virtual Instructor-Led Training (VILT) course introduces Computer Vision (CV) and real-time data analysis. It discusses several architectures and data quality procedures to optimize operations and maximize production.

Power BI® - Business Data Analytics - Virtual Instructor Led Training (VILT)

This 3-full day training course will introduce participants to the Microsoft Power BI® software solution for extracting, manipulating, visualising and analysing data. This is a very practical, hands-on course that takes participants through a series of exercises which help users understand the Power BI® environment, how to use the key areas of functionality, and how to apply the tools it contains to design and produce analyses of their own data.

Data-Driven Geophysical and Petrophysical Models – Virtual Instructor Led Training (VILT)

This three-half-day VILT course will then get you going with sound background understanding, illustrated by real case studies.

Data-Driven Forecasting for Optimized Production in Well Portfolio – Virtual Instructor Led Training (VILT)

This Virtual Instructor-Led Training (VILT) course will discuss key Machine Learning (ML) and Deep Learning (DL) techniques to help the reservoir engineer analyze the production time-series data to forecast well performance. Participants will explore and fully understand the difference between supervised and unsupervised learning and how to use the ML/DL algorithms under each learning technique.

Introduction to Machine Learning For Geophysics - Blended Virtual Instructor Led Training (VILT)

“Let the data speak for itself” is something that many scientists mention when referring to Machine Learning (ML), indicating that hidden or latent relationships between observations and classes of (desired) outcomes can be derived using these algorithms.

Machine Learning & Data Science For Subsurface Oil & Gas Professionals - Virtual Instructor Led Training (VILT)

The 4th Industrial Revolution (IR4) Technologies are transforming the way we work and accomplish daily tasks in the Oil & Gas industry, by increasing efficiency and reducing redundancy.

Python Programming for Upstream Oil & Gas Projects - Virtual Instructor Led Training (VILT)

The Python programming language is at the forefront of data science, helping engineers, analysts and scientists, extract value from their data with its extensive library and intuitive programming concepts.

Predictive Maintenance: Using Machine Learning Technology in Oil & Gas Maintenance Operations - Virtual Instructor Led Training (VILT)

In the current Industrial revolution, technologies ranging from IOT, Cloud Computing, Robotics, AI & Big (Extreme) Data, and Cyber Security are demanding a huge number of new skills and capabilities.

Introduction to Artificial Intelligence For Non-Data Scientists In Oil & Gas

Artificial Intelligence is probably the most important technology development of this decade. Artificial Intelligence attempts to simulate several key human capabilities. Simply put, it is a tool that looks for hidden patterns in a massive pool of data that most energy companies are acquiring or developing in business daily. These patterns have predictive value. Machines that can learn from these massive amounts of data can help you make faster, better and cheaper decisions.