An Intensive 5-day Training Course
Machine Learning and
Data Management in the Oil and Gas Industry
Extracting the Data as the New Oil
Scheduled Dates
Classroom
19 - 23 May 2025 | Dubai - UAE | $5,950 | RESERVE A SEAT |
27 - 31 Oct 2025 | Dubai - UAE | $5,950 | RESERVE A SEAT |
Online
27 - 31 Oct 2025 | Online | $3,950 | RESERVE A SEAT |
Are the scheduled dates matching with your needs?
We provide a wider range of training options. Tailored and customized, we can deliver your organisation’s training needs anytime, anywhere.
Why Choose this Training Course?
This PetroKnowledge course on Machine Learning and Data Management in the Oil and Gas Industry focuses on the fact that energy and technological worlds are witnessing drastic changes that are influenced by intertwined causes of growth: energy demand, transition of energy systems, technological evolution and revolution.
As the oil and gas industry is evolving and changing the necessity of bringing together leadership power, domain expertise, knowledge, and many data silos that still exist within the organizations. This course focuses on fundamental understanding of the petroleum industry and machine learning, as well as the data management, helping the organizations within the industry to achieve success by using the data they possess and reduce the risk and uncertainty which is omnipresent in oil and gas industry.
This Machine Learning and Data Management in the Oil and Gas Industry training course will highlight:
- Importance of Data analysis and removal of obstacles for unified data flow
- Data cleaning practices and techniques
- Interpretation of data, as well as machine learning techniques within the oil and gas industry
- CDMP® Data Management Fundamentals examination
- Components of an enterprise data / information management framework
- Main application areas of machine learning and data management in oil and gas industry
What are the Goals?
This course focuses on presenting the delegates with the opportunity to learn the essentials of data governance, data collection and management, data security, data analysis, Machine Learning algorithms and their implementation within oil and gas industry.
By the end of this Machine Learning and Data Management in the Oil and Gas Industry training course, participants will learn to:
- Learn to identify the impact of data quality and data management on success of oil and gas enterprise
- Acquire the knowledge about data management framework across the enterprises
- Identify the machine learning algorithms applied within the oil and gas industry
- Learn how to gather, transform and use the spatial, seismic, production and other data
- Identify the relations between the master data management process optimization
Who is this Training Course for?
The training course has been designed for professionals whose jobs involve the data gathering, data analysis, decision making.
This training course is suitable to a wide range of professionals but will greatly benefit:
- Petroleum Data Analysts
- CEOs, CIOs, COOs
- Systems Analysts
- Programmers
- Data Analysts
- Database Administrators
- Project Leaders
- Software Engineers
How will this Training Course be Presented?
The training course uses a number of proved adult learning techniques, theoretical presentations with practical work of the delegates on how to properly use the data in their enterprise, how to prepare and implement the retention schedule and how to define the data architecture applicable for their enterprise. The course also teaches the delegates how to use available software as well as combine it with R, Python and other available software to achieve improvement in exploration, production, operation as well as other areas where the data and machine learning combination can help organization achieve improvements and optimization.
Organisational Impact
Data is now main element of sustainability and improvement. When the companies properly acquire, analyze, manage, store and secure their data they gain incredible competitive advantage, however it is not enough only to collect and store the data as the data itself does not guarantee success, the important element is to discover meaning within the data, correlation and causational paths which will help organizations improve their operations and planning by limiting and mitigating the risks of uncertainty.
This Machine Learning and Data Management in the Oil and Gas Industry training course will highlight:
- Optimal principles of data management
- Creation of data centric organization and adequate management of company data
- Machine learning techniques and algorithms
- Implementation of machine learning in anomaly detection
- Principal Component Analysis and other techniques used
Personal Impact
The delegates will learn from the experiences of real projects, get the insight into the success stories, problems and even failures to be able to avoid mistakes, identify adequate use cases and implement proper methods and algorithms.
The delegates will acquire:
- Full knowledge of data management, analysis and interpretation
- Anomaly detection and risks mitigation measures related to data quality and data security
- Use of available software and applications
- Insight into the ways of removing data silos within the organization
- Knowledge of modern Machine Learning algorithms and techniques used
Daily Agenda
Day One: Data gathering and data quality within oil and gas industry
- Data sources
- Data rules for well identification and classification
- PPDM data model
- Geospatial data storage, analysis and use
- Machine learning in geospatial data
Day Two: Machine learning in oil and gas industry
- Machine learning algorithms
- Python programming
- R programming
- Use of existing software and its combination with Python and R
- Tensorflow
Day Three: Areas where machine learning can be implemented within oil and gas industry
- Forecasting
- Anomaly detection
- Process control
- Optimization
- Maintenance
- HSE
- Other areas
Day Four: Data collection and analysis using machine learning
- Data from SCADA
- Data from sensors
- Data from ECM
- Data visualization
- Data Analytics techniques for immediate insights
Day Five: Technologies in use
- Digital core
- Digital oilfield
- Machine learning in predictive maintenance
- Use of soft sensors
- Example cases and way forward
Certificate
- On successful completion of this Training Course / Online Training Course, a PetroKnowledge Certificate / E-Certificate will be awarded to the delegates.
In Association With
Other Training Courses You Might Be Interested In
Artificial Intelligence (AI) in Procurement and Supply Chain Management
Big Data Analytics for Predictive Maintenance Strategies
Frequently Asked Questions
Why PetroKnowledge?
PetroKnowledge is a globally recognized provider of training courses for oil and gas professionals, offering a wide range of specialized training courses designed to enhance knowledge, skills, and expertise in the energy sector. With courses tailored to meet the evolving demands of the oil and gas industry, PetroKnowledge helps professionals stay up-to-date with industry standards, technological advancements, and best practices.
Who are these training courses designed for?
Our courses are specifically developed for professionals in the oil and gas industry, including engineers, technical staff, managers, and other specialists looking to advance their careers. Whether you’re a seasoned expert or new to the sector, our training for oil and gas professionals is suited to individuals at all stages of their professional journey.
Are the courses delivered online or in person?
PetroKnowledge offers flexible learning solutions with both online courses and in-person training options. Online courses for oil and gas professionals provide the flexibility to learn from anywhere, while in-person courses offer a hands-on, interactive learning environment. Each training course page provides detailed information on the delivery format, allowing you to choose the option that best meets your learning style and schedule
Can I get a customized training course for my team?
Yes, PetroKnowledge offers customized in-house training solutions for organizations looking to upskill their teams. We work closely with companies to design bespoke training courses for oil and gas professionals that address specific challenges and objectives. Whether you need on-site training or online solutions, we can tailor the training courses to suit your organization’s needs.
Are there any prerequisites for attending a course?
Certain advanced training courses for oil and gas professionals may require prior experience or technical knowledge. These prerequisites ensure that participants can fully benefit from the course content. We recommend reviewing the course description on the relevant page to determine if any prerequisites apply to your selected course.
How can I enroll in a course?
Enrolling in one of our training courses for oil and gas professionals is simple and convenient. Navigate to the specific course page, click “Enroll Now,” and complete the registration form. You will receive a confirmation email with further details on how to proceed.
You may also get in touch with our Registration Team on
+971 50 981 7386 | +971 2 557 7389 or send an email to [email protected]
When should I expect to receive confirmation of registration?
Upon successful registration online, enrolment on the respective training course will be confirmed by Registration Team by e-mail along with the invoice and joining instruction.
Will I receive a certificate after completing the course?
Yes, upon successful completion of our courses for professionals in the oil and gas industry, you will receive an industry-recognized certificate from PetroKnowledge. This certification is designed to validate your skills and knowledge and can significantly enhance your professional credentials, boosting your career prospects in the competitive oil and gas sector.
When and how do I arrange payments?
We offer two convenient payment options:
- Bank Transfer – You can make payment via bank transfer. Once your registration is confirmed, you will receive an invoice with the banking details for the transfer. We would require you to supply a swift copy for us to confirm receipt of funds.
- Payment Link – Alternatively, we provide a secure payment link that you can use to complete your payment after your registration has been confirmed.
What is the refund or cancellation policy?
Our refund and cancellation policy varies depending on the course and circumstances. Generally, cancellations made at least 21 days before the training are eligible for a refund, less any administrative fees. If you have any specific inquiries about the cancellation or refund, don’t hesitate to contact our support team, who can assist with your booking and cancellation queries.
Is there a discount for more than one registrant/course?
For corporate fees and group registration, please send your query to [email protected].