This course will help the participants learn the sources of errors in well measurements, how to plan the acquisition of fit-for-purpose data, and how to manage the uncertainties associated with non-quality data. While the main focus is on log data, the concepts and methods covered can be applied to the acquisition and quality control of all well data.

Participants will be introduced to terminology and methods used to understand and quantify errors, the conditions and sequence of data acquisition in the field, the differences between data types and their impact on data integration, and structured methods of quality control. The course will also emphasize the importance of the human factor and the value of thorough documentation in managing petrophysical data uncertainty.

COURSE OBJECTIVES:

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

• Explain the basic terminology related to measurement errors, uncertainty, and data quality in well logging.
• Identify the main sources of errors in well measurements, including tool, operational, environmental, and processing-related factors.
• Plan log data acquisition programs that are fit for purpose and aligned with reservoir and field objectives.
• Describe the typical conditions and sequence of data acquisition in the field and how they influence data quality.
• Distinguish between different data types (log data, core data, test data, and others) and understand their implications for data integration.
• Apply practical methods and workflows for quality control of log data from field acquisition to final deliverables.
• Assess the impact of non-quality data on petrophysical interpretation and reservoir evaluation.
• Recognize the critical role of the human factor, including communication, decision making, and discipline, in data quality.
• Use basic approaches to quantify and manage petrophysical data uncertainty in interpretation workflows.
• Implement effective documentation practices to preserve data quality history, decisions, and uncertainty assumptions.

TARGET AUDIENCE:

• Petrophysicists
• Junior geoscientists involved in well data interpretation
• Reservoir engineers using log-based inputs for studies and models
• Logging and well-service engineers and supervisors
• Data managers and technical staff supporting subsurface databases

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.