COURSE OVERVIEW
GE0049 : Data Driven Technologies: Applications and Case Studies
OVERVIEW
COURSE TITLE | : | GE0049 : Data Driven Technologies: Applications and Case Studies |
COURSE DATE | : | Nov 03 - Nov 07 2024 |
DURATION | : | 5 Days |
INSTRUCTOR | : | Mr. Dimitry Rovas |
VENUE | : | Dubai, UAE |
COURSE FEE | : | $ 5500 |
Register For Course Outline |
OTHER SCHEDULED DATES
Date | : | Jun 03 - Jun 07 (5 Days) | Location | : | Abu Dhabi, UAE | Classroom Fee (US$) | : | $ 5500 | Course Info |
Date | : | Sep 02 - Sep 06 (5 Days) | Location | : | Abu Dhabi, UAE | Classroom Fee (US$) | : | $ 5500 | Course Info |
Course Description
This course is designed to provide participants with a detailed and up-to-date overview of Data Driven Technologies: applications and case studies. It covers the importance of data-driven technologies including the key technologies and tools like AI, machine learning, big data analytics and cloud computing; the best practices for data collection, storage and management; the reliability and security of data in petroleum applications; using data to predict trends and behaviors in petroleum operations; and the various models of machine learning and their specific applications in the industry.
Further, the course will also discuss the data analytics to predict equipment failures and schedule maintenance; the drilling operations, reservoir characterization and risk assessment and management; the real-time data monitoring and management; and the operational intelligence through integrated technologies.
During this interactive course, participants will learn the data visualization techniques and handling large-scale data sets; how cloud platforms facilitate data management and analytics; the differences, benefits and how data lakes and warehouses can be utilized in the petroleum industry; the critical aspects of data security and privacy; the cultural change and digital transformation; the analytical insights into actionable business decisions; and the future trends in data technologies and overcoming challenges in adopting new technologies.
link to course overview PDF
Further, the course will also discuss the data analytics to predict equipment failures and schedule maintenance; the drilling operations, reservoir characterization and risk assessment and management; the real-time data monitoring and management; and the operational intelligence through integrated technologies.
During this interactive course, participants will learn the data visualization techniques and handling large-scale data sets; how cloud platforms facilitate data management and analytics; the differences, benefits and how data lakes and warehouses can be utilized in the petroleum industry; the critical aspects of data security and privacy; the cultural change and digital transformation; the analytical insights into actionable business decisions; and the future trends in data technologies and overcoming challenges in adopting new technologies.
TRAINING METHODOLOGY
This interactive training course includes the following training methodologies as a percentage of the total tuition hours
LecturesWorkshops & Work Presentations
Case Studies & Practical Exercises
Videos, Software & Simulators
In an unlikely event, the course instructor may modify the above training methodology before or during the course for technical reasons.
VIRTUAL TRAINING (IF APPLICABLE)
If this course is delivered online as a Virtual Training, the following limitations will be applicable
Certificates | : | Only soft copy certificates will be issued to participants through Haward’s Portal. This includes Wallet Card Certificates if applicable |
Training Materials | : | Only soft copy Training Materials (PDF format) will be issued to participant through the Virtual Training Platform |
Training Methodology | : | 80% of the program will be theory and 20% will be practical sessions, exercises, case studies, simulators or videos |
Training Program | : | The training will be for 4 hours per day starting at 09:30 and ending at 13:30 |
H-STK Smart Training Kit | : | Not Applicable |
Hands-on Practical Workshops | : | Not Applicable |
Site Visit | : | Not Applicable |
Simulators | : | Only software simulators will be used in the virtual courses. Hardware simulators are not applicable and will not be used in Virtual Training |
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