DE0513 : Integration of Geological, Surveillance & Well Test/Production Data

Course Description

This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators.

 

This course is designed to provide participants with a detailed and up-to-date overview of Integration of Geological, Surveillance and Well Test/Production data. It covers the reservoir characterization, types of geological data and tools and techniques for geological data collection and interpretation; the types of surveillance data including production data, pressure monitoring and fluid sampling; the well testing and production data; the reliability and accuracy of data from various sources; and the validation of geological, surveillance and well test data.

 

Further, the course will also discuss the concept of data integration in reservoir management; building static reservoir models and incorporating lithological and structural data into the model; correlating stratigraphic data across wells and generating geological maps and cross-sections; integrating geological data with surveillance data; the reservoir zoning and compartmentalization; and the basics of pressure transient analysis (PTA) and its role in reservoir characterization.

 

During this interactive course, participants will learn the integration of temperature, fluid sampling and time-lapse (4D) seismic data; interpreting and integrating surveillance data into reservoir simulation models; the well test analysis, production data analysis  and nodal analysis; the integrated asset modeling (IAM) and its application in reservoir management; the integrated data for field development planning; the machine learning and AI applications in data integration; the dynamic reservoir simulation models and techniques for managing uncertainty in integrated data; the risk management strategies in reservoir development; the integrated reservoir management (IRM) and its importance in maximizing reservoir value; and the emerging technologies and trends in data integration.

 

TRAINING METHODOLOGY

This interactive training course includes the following training methodologies:

30 % Lectures
20 % Practical Workshops & Work Presentations
30 % Hands-on Practical Exercises & Case Studies
20 % Simulators (Hardware & Software) & Videos

In an unlikely event, the course instructor may modify the above training methodology 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
Training Materials	:	Only soft copy materials will be issued
Training Methodology	:	80% theory, 20% practical
Training Program	:	4 hours per day, from 09:30 to 13:30