COURSE OVERVIEW
DE0442 : Well Prognosis
OVERVIEW
COURSE TITLE | : | DE0442 : Well Prognosis |
COURSE DATE | : | Dec 08 - Dec 12 2024 |
DURATION | : | 5 Days |
INSTRUCTOR | : | Dr. John Petrus |
VENUE | : | Dubai, UAE |
COURSE FEE | : | $ 8000 |
Register For Course Outline |
OTHER SCHEDULED DATES
Date | : | Jun 03 - Jun 07 (5 Days) | Location | : | Abu Dhabi, UAE | Classroom Fee (US$) | : | $ 8000 | Course Info |
Date | : | Sep 09 - Sep 13 (5 Days) | Location | : | Dubai, UAE | Classroom Fee (US$) | : | $ 8000 | Course Info |
Date | : | Oct 07 - Oct 11 (5 Days) | Location | : | Abu Dhabi, UAE | Classroom Fee (US$) | : | $ 8000 | Course Info |
Date | : | Dec 08 - Dec 12 (5 Days) | Location | : | Dubai, UAE | Classroom Fee (US$) | : | $ 8000 | Course Info |
Course Description
This course is designed to provide participants with a detailed and up-to-date overview of Well Prognosis. It covers the role and importance of well prognosis in the petroleum industry; the wellbore stability, porosity, permeability and reservoir characteristics; the geological factors impacting well prognosis; the types of rock formations, fault lines and sedimentary structures; the geophysical data analysis; and drilling fluids and their role in well prognosis; the well logging techniques, well design and trajectory planning; and utilizing petrophysical data to optimize well placement and design.
Further, the course will also discuss the advanced imaging techniques for subsurface mapping and risk assessment in well planning; integrating geological and geophysical data to improve prognosis accuracy; the advanced log interpretation and the role of core samples in well prognosis; the software tools that model well behavior under various scenarios; and the drilling operations, real-time data acquisition and monitoring and managing drilling uncertainties.
During this interactive course, participants will learn the predictive modelling and decision support systems; the safety and environmental considerations in drilling; the well prognosis tools and techniques; the challenges and limitations in current well prognosis practices; the emerging technologies and their potential impact that can transform well prognosis practices; and the cost implications and economic benefits of effective well prognosis.
link to course overview PDF
Further, the course will also discuss the advanced imaging techniques for subsurface mapping and risk assessment in well planning; integrating geological and geophysical data to improve prognosis accuracy; the advanced log interpretation and the role of core samples in well prognosis; the software tools that model well behavior under various scenarios; and the drilling operations, real-time data acquisition and monitoring and managing drilling uncertainties.
During this interactive course, participants will learn the predictive modelling and decision support systems; the safety and environmental considerations in drilling; the well prognosis tools and techniques; the challenges and limitations in current well prognosis practices; the emerging technologies and their potential impact that can transform well prognosis practices; and the cost implications and economic benefits of effective well prognosis.
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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