COURSE OVERVIEW:

Participants will learn how to prepare and screen log data, select suitable modelling techniques, and build, calibrate, and validate prediction models using different approaches such as Principal Component Analysis, Fuzzy Logic, Multiple Linear Regression, Neural Networks, and Domain Transfer Analysis (DTA). Emphasis is placed on practical workflows, quality control, and comparing model results so that participants can choose the most robust solution for their reservoirs and datasets.

COURSE OBJECTIVES:

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

• Explain the purpose of curve prediction in petrophysical workflows and when it should be used.
• Describe common data quality issues (for example, bad hole conditions, missing intervals, tool failures) and their impact on log interpretation.
• Prepare log data for curve prediction by cleaning, editing, and selecting appropriate input curves.
• Apply Principal Component Analysis within IP to understand data structure and select key inputs.
• Describe the principles of Fuzzy Logic and how it can be used for curve prediction and facies classification.
• Build Multiple Linear Regression models for predicting missing curves and repairing affected logs.
• Understand the basic concepts of Neural Networks in IP and how to train and validate models for curve prediction.
• Use Domain Transfer Analysis (DTA) to transfer models between wells, zones, or fields appropriately.
• Compare model results using statistical and graphical measures and select the most suitable model for operational use.
• Document and integrate predicted curves into petrophysical interpretation and reservoir models with appropriate quality flags.

TARGET AUDIENCE:

• Reservoir engineers
• Petrophysicists and log analysts
• Geoscientists working with well log data
• Subsurface professionals involved in static and dynamic modelling
• Data and reservoir engineers supporting digital subsurface workflows

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures and discussion sessions, as well as case studies, will be managed to maximise 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.