COURSE OVERVIEW:

This course provides participants with a practical introduction to dynamic data analysis for reservoirs and wells using KAPPA and similar industry-standard tools. It explains the theory and practice of Pressure Transient Analysis (PTA), Rate Transient Analysis (RTA), formation testing, production logging, and the use of permanent downhole gauges, with emphasis on how these techniques support reservoir characterization, well performance evaluation, and production optimization.

Participants will learn how to select appropriate well, wellbore, and reservoir models, define boundary conditions, and integrate Pressure-Volume-Temperature (PVT) information into their interpretations. The course also introduces dynamic analysis for unconventional resources, the use of analytical and numerical models, nodal analysis, and basic thermal analysis and simulation. Throughout, the focus is on understanding the physics behind the responses, correct data preparation, and practical interpretation workflows in KAPPA.

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

• Explain the purpose and basic concepts of dynamic data analysis in reservoir engineering.
• Describe the principles and applications of Pressure Transient Analysis (PTA) and Rate Transient Analysis (RTA).
• Select and apply appropriate wellbore, well, and reservoir models for dynamic data interpretation in KAPPA.
• Recognize and interpret common well test and production log responses associated with different flow regimes and boundaries.
• Understand the role of Pressure-Volume-Temperature (PVT) data in dynamic data analysis and incorporate it into models.
• Describe the main features of formation tests, production logging, and permanent downhole gauges and how their data are used.
• Differentiate between analytical and numerical models and understand when to use each approach in KAPPA.
• Apply basic concepts of nodal analysis to evaluate well performance and identify constraints.
• Explain key considerations for dynamic data analysis in unconventional resources.
• Outline the basic concepts of thermal analysis and simulation related to dynamic data.
• Use structured workflows in KAPPA to screen, prepare, and consistently interpret dynamic data.

TARGET AUDIENCE:

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures and discussion sessions, as well as case studies, will be managed to maximize the amount and quality of information, knowledge, and experience transfer. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance learning. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

The course participants shall be evaluated before, during, and at the end of the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.