HTME

COURSE OVERVIEW

DE0090 : Applied Reservoir Engineering & Management: Analysis, Characterization, Simulation, Integration, Statistics & Naturally Fractured
OVERVIEW
COURSE TITLE : DE0090 : Applied Reservoir Engineering & Management: Analysis, Characterization, Simulation, Integration, Statistics & Naturally Fractured
COURSE DATE : Jul 22 - Jul 25 2024
DURATION : 4 Days
INSTRUCTOR : Mr. Stan Constantino
VENUE : Al Khobar, KSA
COURSE FEE : $ 6750
Request For Course Outline
OTHER SCHEDULED DATES
Date : Apr 29 - May 02 (4 Days) Location : Abu Dhabi, UAE Classroom Fee (US$) : $ 6750 Course Info
Date : Oct 28 - Oct 31 (4 Days) Location : Dubai, UAE Classroom Fee (US$) : $ 6750 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

Lectures
Workshops & 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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