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Permeability is the ability of a substance to allow another substance to pass through it, especially the ability of a porous rock, sediment, or soil to transmit fluid through pore and cracks. Permeability is one of the most important parameters in reservoir characterization. It plays major role in reservoir simulation, enhanced oil recovery, well completion design, and overall field exploitation and development strategies. Despite its vital importance, it is one of the most difficult and controversial petrophysical properties to calculate accurately.
During this course concepts of core preparation, core measurement, core analysis types and procedures will be explained. The petrophysical rock properties such as porosity, permeability, grain density, saturation and porosity-permeability relations in different rock facies will be studied. The relationship between these parameters under in situ conditions will be discussed. The trainer will provide the relationship between core analysis data and logging measurements for depth matching, understanding abnormal log readings and to obtain different petrophysical parameters with focus on reservoir permeability prediction.
At the end of the course, the participants will be able to know permeability determination from logging tools such as NMR, MDT and PLT. Learn permeability estimation from log measurements and results using porosity with Swirr cross plot, and from Morris-Biggs and Timur equations. Improve productivity from permeability transform with the support of case study, examples and practical exercises.
Overview of the program
Reservoir Rock Properties
Case study: Introducing the different types and Procedures of Core Analysis
Exercise: Horizontal Permeability vs Helium Porosity (Lab Measurements)
Other Logging Tools for Permeability Prediction and Facies Detection
Core-Log Petrophysical Parameter Relationship
Practical Exercise and Q & A
Case study: Introducing the open-hole logging
Case Study: For Permeability Prediction Carbonate Reservoir in Gulf area and sandstone reservoir in Middle East and can be applicable to anywhere for these reservoirs.
Permeability prediction from log data using core analysis results in heterogeneous carbonates:
Permeability prediction from log data for another example in clastic
Dipmeter Relations with Core Data :
Depositional Environment and Sedimentary Sequences from Core and Log
Practical Exercise and Q & A
Application of Core-Log Relationship for Permeability Prediction?
Exercise : Practical Training Examples.
All professional with background and experience in petrophysics, whose job requires more extensive knowledge of core and log relations including:
Prof. Dr. Ahmed Taha Amin is an expert in formation evaluation, core analysis and reservoir modeling. He has broad experience working with assets and providing properties for reservoir characterisation and strong experience with carbonate petrophysics over 15-years experience.
He has extensive experience over 45 years in industry, principally in log analysis and Formation Evaluation in various technical and managerial positions for Gupco (Cairo, Egypt), Adco and Adnoc (Abu Dhabi, UAE), QGPC (Doha, Qatar), Apache (Cairo, Egypt), RPS Energy (in UK) and CEPSA in Egypt.
He is an instructor for Basic, Intermediate, Advanced Petrophysics, Core-Log Integration, Image Interpretation, IP software Application and LQC for Data Management training courses. He was supervised the Petrophysical studies and Wire-Line operations for Apache Egypt operated by: APACHE, QARUN and KHALDA Companies for 10 years. He did Petrophysical Evaluation projects in a few countries such as Algeria, Egypt, Yemen, Kuwait, Madrid, South Africa and East Asia.