Core analysis is a critical aspect of reservoir development and management, as it provides important information about the physical and petrophysical properties of reservoir rocks. In this webinar, we will explore the various roles of core analysis in reservoir development and how it can be used to improve reservoir characterization, production optimization, and overall recovery efficiency.

The webinar will begin by discussing the basics of core analysis, including the different types of core samples that can be obtained and the various laboratory techniques used to analyze them. We will then delve into the specific ways in which core analysis can be applied to reservoir development, including:

Reservoir characterization: Core analysis can provide detailed information about the porosity, permeability, and other physical properties of reservoir rocks, which can be used to build accurate reservoir models and improve reservoir characterization.

Production optimization: Core analysis can also help identify the factors that affect production efficiency, such as fluid flow and rock properties, and optimize production strategies accordingly.

Enhanced oil recovery (EOR): Core analysis can be used to evaluate the potential for EOR techniques such as water flooding, gas injection, or chemical flooding to increase reservoir recovery.

Reservoir monitoring: Core analysis can provide important information about changes in reservoir properties over time, such as changes in fluid saturation or rock compaction, which can help optimize reservoir management and predict future production performance.

Overall, this webinar will provide an in-depth understanding of the importance of core analysis in reservoir development and how it can be used to improve reservoir management and increase oil and gas recovery.

Agenda

• Objectives of core analysis and coring methods

• Role of core data in reservoir development

• Core analysis workflow

• Petrophysical rock types using core analysis

• Application of RCAL data

• Relative permeability and capillary pressure data

• Application of SCAL data

Eng. Hesham M. Ali (Senior Reservoir Engineer)