COURSE OVERVIEW
DE0090 : Reservoir Management and Monitoring
OVERVIEW
COURSE TITLE | : | DE0090 : Reservoir Management and Monitoring |
COURSE DATE | : | Dec 22 - Dec 26 2024 |
DURATION | : | 5 Days |
INSTRUCTOR | : | Mr. Stan Constantino |
VENUE | : | Doha, Qatar |
COURSE FEE | : | $ 8500 |
Register For Course Outline |
OTHER SCHEDULED DATES
Date | : | May 19 - May 23 (5 Days) | Location | : | Doha, Qatar | Classroom Fee (US$) | : | $ 8500 | Course Info |
Date | : | Sep 01 - Sep 05 (5 Days) | Location | : | Doha, Qatar | Classroom Fee (US$) | : | $ 8500 | Course Info |
Course Description
This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-theart simulators. Oil Reservoirs have been created by complex sedimentary and diagenetic processes, and modified by a history of tectonic change. Reservoirs are complex systems on all scales. Decisions such as pumping and injection, new well placement, and drilling in an active oil field, are typical of the complex relationships between reservoir engineering and oil field/reservoir management. A reservoir?s life begins with exploration that leads to discovery, which is followed by delineation of the reservoir, development of the field, production by primary, secondary, and tertiary means, and finally to abandonment. Integrated, sound reservoir management is the key to a successful operation throughout a reservoir?s life. Further, the need to enhance recovery from the vast amount of remaining oil and gas-in-place, plus the global competition, requires better reservoir management practices. Reservoir engineering is the application of scientific principles to solve issues arising during the development and production of oil and gas reservoirs. This course covers the engineering operations involved in analysing the production behaviour of oil and gas wells, including well performance engineering, reservoir aspects of well performance, restricted flow into the wellbore, rate decline analysis, and fundamentals of artificial lift.This course is designed to provide many tools and techniques to help address the challenges of providing a more reliable and sound reservoir engineering & management. In addition to a wealth of classic information on the concepts and processes involved in reservoir engineering and management, the course presents insights about data acquisition, reservoir performance analysis & forecast, reservoir management economics and improved recovery processes. Further, the course is illustrated through a number of case studies which will be shown to the participants to help them appreciate the concepts presented in the course. link to course overview PDF
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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