Technical specialist training
Engineers, operators, mechanics, electricians and instrumentation specialists
In the rapidly evolving technological landscape, data science and machine learning have emerged as transformative forces across a multitude of industries. The oil and gas industry, traditionally slower to adopt such advancements, is now actively integrating these technologies to enhance operational efficiency and exploration efforts. In response to this growing demand, we have designed a comprehensive training course tailored specifically for professionals in the oil and gas industry who seek to harness the power of data analysis and machine learning in their projects and operations.
The course begins with an introduction to Python, one of the most widely-used programming languages in data science. It emphasizes its industry-specific applications, teaching participants to write efficient Python programs and use its libraries such as NumPy, Pandas, Matplotlib, and SciPy for numerical operations, data input/output, scientific plotting, and interpolation respectively.
The second module dives deeper into data analysis and visualization, honing in on techniques essential for the oil and gas industry. Participants will become proficient in managing data cleansing, creating various visualizations, handling missing data, and interactive plotting using tools such as Plotly.
The third module focuses on production data analysis and forecasting. Here, participants will learn to conduct time-series analysis, visualizing production data, identifying and eliminating outliers, and performing decline curve and uncertainty analyses. These skills are vital in maximizing the efficiency and predictability of production operations in the oil and gas sector.
The course then proceeds to explore the applications of machine learning, both for lithofacies classification and well log synthesis. Participants will be introduced to the workflow of creating and evaluating classification and regression models, enabling them to classify lithofacies and predict well logs effectively.
Finally, the eighth module provides a comprehensive introduction to machine learning fundamentals, touching upon critical concepts such as supervised and unsupervised learning, dimensionality reduction, and explainable machine learning. Practical workshops are woven into this module, allowing participants to put their knowledge into practice by reconstructing wireline logs using random forests and performing outlier detection and clustering.
Upon completion, participants will not only have a solid foundation in Python programming and data analysis but will also understand how to implement machine learning models in their oil and gas operations and projects. This course, thus, provides an excellent opportunity for industry professionals such as petrophysicists, geologists, engineers, IT personnel, and project managers, to upgrade their skills and knowledge in line with industry trends, enhancing both their individual capabilities and their organization's competitive edge.
Training can take place in 4 formats:
Description of training formats:
When forming groups of students, special attention is paid to important criteria - the same level of knowledge and interests among all students of the course, in order to maintain stable group dynamics during training.
Group dynamics is the development of a group in time, which is caused by the interaction of participants with each other and external influence on the group. In other words, these are the stages that the training group goes through in the process of communicating with the coach and among themselves.
The optimal group size for different types of training:
Feedback in the form of assessments and recommendations is given to students during the course of training with the participation of an instructor and is saved in the course card and student profile.
In order to control the quality of the services provided, students can evaluate the quality and training programme. Forms of assessment of the quality of training differ for courses with the participation of an instructor and those that are held in a self-paced format.
For courses with an instructor, start and end dates are indicated. At the same time, it is important to pay attention to the deadlines for passing tests, exams and practical tasks. If the specified deadlines are missed, the student may not be allowed to complete the entire course programme.
A personal account is a space for storing your training preferences, test and exam results, grades on completed training, as well as your individual plan for professional and personal development.
Users of the personal account have access to articles and blogs in specialized areas, as well as the ability to rate the completed training and leave comments under the articles and blogs of our instructors and technical authors
Registered users of a personal account can have various roles, including the role of a student, instructor or content developer. However, for all roles, except for the student role, you will need to go through an additional verification procedure to confirm your qualifications.
Based on the results of training, students are issued a certificate of training. All training certificates fall into three main categories:
You can always download a copy of your training certificate in PDF format in your personal account.
You will still have access to the course after completing it, provided that your account is active and not compromised and Tecedu is still licensed for the course. So if you want to review specific content in the course after completing it, or do it all over again, you can easily do so. In rare cases, instructors may remove their courses from the Tecedu marketplace, or we may need to remove a course from the platform for legal reasons.
During the training, you may encounter various forms of testing and knowledge testing. The most common assessment methods are:
Travel to the place of full-time training is not included in the cost of training. Accommodation during full-time studies can be included in the full board tuition fees.
While Tecedu is not an accredited institution, we offer skills-based courses taught by real experts in their field, and every approved, paid course features a certificate of completion or attendance to document your accomplishment.
You can preview samples of the training materials and review key information about the course on our website. You can also review feedback and recommendations from students who already completed this course.
We want you to be happy, so almost all purchased courses can be returned within 30 days. If you are not satisfied with the course, you can request a refund, provided the request complies with our return policy.
The 30-day money back policy allows students to receive quality teaching services with minimal risk, we must also protect our teachers from fraud and provide them with a reasonable payment schedule. Payments are sent to instructors after 30 days, so we will not process refund requests received after the refund period.
We reserve the right, in our sole discretion, to limit or deny refund requests in cases where we believe there is refund abuse, including but not limited to the following:
We accept most international credit and debit cards like Visa, MasterCard, American Express, JCB and Discover. Bank Transfers also may be an option.
Conducting classes is based on the fact that the teacher demonstrates text, drawings, graphics, presentations on an interactive board, while the content appears in the student's electronic notebook. A specially designed digital notepad and pen are used to create and edit text and images that can be redirected to any surface via a projector.
Classes are live streamed online, automatically recorded and published on the Learning Portal, allowing you to save them for reuse anytime, anywhere, on any mobile device. This makes it possible not to miss classes and keep up with classes and keep up with the passage of new material.
Real-life training uses the principles of game organization, which allows future professionals to rehearse and hone their skills in a virtual emergency. Learning as a game provides an opportunity to establish a connection between the learning activity and real life.
The technology provides the following learning opportunities:
Basic principles of training:
The main advantages of Game Based Learning technology:
Conducting practical classes online using remote access technologies for presentations, multimedia solutions and virtual reality:
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Discipline: Industry-specific digital skills
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Discipline: Industry-specific digital skills