Integrated Formation Evaluation in  Clastic and Carbonate Reservoirs

An Intensive 5-day Training Course

Integrated Formation Evaluation in
Clastic and Carbonate Reservoirs

Understand your Reservoir by Utilizing Drill and Wireline Data

Integrated Formation Evaluation in Clastic and Carbonate Reservoirs

Scheduled Dates


01 - 05 Jul 2024 Dubai - UAE $5,950 RESERVE A SEAT
18 - 22 Nov 2024 Dubai - UAE $5,950 RESERVE A SEAT


18 - 22 Nov 2024 Online $3,950 RESERVE A SEAT

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Why Choose this Training Course?

This PetroKnowledge training course provides the participants with an advanced understanding of the integrated formation evaluation techniques and well log analysis applications. The training course will cover the physical principles of the logging tools and the full advanced interpretation workflow for reservoir characterization.

More specifically, by the end of this PetroKnowledge training course, the participants will understand the properties of the rocks and the reservoir fluids; analyse and integrate the core analysis datasets; evaluate the NMR logs and run the full NMR interpretation workflow; run pressure plots and detect the free water level/oil water contact and run saturation height modeling. The training course will cover the advanced log interpretation workflow with the quantitative techniques for the quality control and quality assurance procedures for the raw datasets. Different real examples from different parts of the world will be used throughout the course to help the attendees understanding the reservoir characterization concept and the integrated analysis in either clastic or carbonate reservoirs.

This PetroKnowledge training course will highlight:

  • Conventional tools principles and their applications in log interpretation
  • Logs QC/QA, Depth matching, splicing and logs normalisation
  • Core data analysis and Integration with conventional and advanced E-Logs
  • NMR tool principles/interpretation and saturation height modeling
  • Advanced reservoir characterization including facies and permeability modeling
  • Practical training examples using different wells in different reservoir types

What are the Goals?

By the end of this PetroKnowledge training course, participants will learn the following:

  • Tools’ theories and tools’ petrophysical applications
  • Running complete petrophysical interpretation for clastic reservoirs
  • Integration of the core analysis with conventional/advanced logs workflows
  • Generating reservoir Electrofacies and permeability modelling
  • Reservoir fluid and pore volume characterization

Who is this Training Course for?

This PetroKnowledge training course is suitable to a wide range of professionals and will greatly benefit: 

  • Petrophysicists/Log analysts
  • Geologists
  • Reservoir engineers
  • Geophysicists
  • Geomodellers

How will this Training Course be Presented?

This PetroKnowledge training course will utilise a variety of examples to ensure an in-depth learning and understanding for the advanced petrophysical evaluation techniques. The daily sessions will be highly interactive and participative. This involves regular discussions of applications as well as hands-on exercises that will be solved manually and/or using Microsoft Excel.  

The course will be delivered through a power point presentation. Each attendee will need a laptop for the practical examples. The participants will have access to the printed course materials and the examples they will have access to during the course. Challenging well logs examples will be used from different countries in the world to help the participants understand the full workflow in details.

Organisational Impact

This PetroKnowledge training course will help the participants and enrich their knowledge in reservoir characterization and log interpretation. By the end of this training course, the participants will have covered the following:

  • Understanding the role of advanced reservoir characterization in fields’ assessment
  • Gain knowledge on the advanced formation evaluation techniques and workflows
  • QC and QA for the log analysis outputs before the integration in the static and dynamic modeling
  • Using the NMR data for reservoir fluid characterization and integration with the well test results
  • Complete petrophysical evaluation for new blocks and frontier areas (exploration petrophysics)

Personal Impact

The participants will gain extensive knowledge for the advanced formation evaluation techniques. They will be fully capable of running advanced petrophysical workflows, NMR interpretation, saturation height modeling, and facies and permeability modeling. The course will enrich the participants knowledge in core data statistics, core dataset analysis, detecting the reservoirs nature and variations, and how to integrate the core data with the conventional and advanced logs.

Daily Agenda

Day One: Introduction to Logging Tools and Formation Evaluation 
  • Lithology tools
  • Porosity tools
  • Resistivity tools
  • Invasion profile
  • Difference between clastic and carbonate reservoirs
  • Reservoir geosteering and reservoir development
Day Two: Petrophysical Evaluation  
  • Logs QC/QA, Depth matching, splicing, log normalization
  • Using crossplots to detect lithology, porosity and mineralogy
  • Shale volume calculation
  • Porosity evaluation in clean and shaly formations
  • Water resistivity calculation
  • Saturation calculation in clean and shaly reservoirs
  • Determining the cementation factor and saturation exponent from the core analysis
  • Running petrophysical analysis in clastics and carbonates
  • Petrophysical analysis in highly deviated and horizontal wells
Day Three: Core Analysis 
  • Core data analysis
  • Core data statistics; detecting the reservoir heterogeneity
  • Rock Quality Index and Flow Zone Indicator
  • Different facies models
  • Reservoir electrofacies and permeability modeling
  • Examples and practical exercise using actual core data for advanced reservoir evaluation
  • Core integration with wireline and LWD logs
  • Exploration and development petrophysics
Day Four: Nuclear Magnetic Resonance 
  • NMR tools’ theory
  • Understanding the NMR log
  • Advanced NMR applications
  • NMR interpretation workflow
  • NMR integration with well testing
  • NMR core integration
  • NMR interpretation integration with conventional logs
  • Facies from NMR logs
Day Five: Saturation Height Modeling 
  • Capillary pressure concept
  • Facies variations from the capillary pressure curves
  • Reservoir pressure analysis
  • Understanding the concept of the oil water contact and free water level
  • Saturation height modeling
  • Exercises on saturation height modeling in clastics and carbonate reservoirs


  • On successful completion of this Training Course / Online Training Course, a PetroKnowledge Certificate / E-Certificate will be awarded to the delegates.

In Association With

GLOMACS Training

Our collaboration with GLOMACS aims to provide the best training services and benefits for our valued clients

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Frequently Asked Questions

  • To register online through our website, please click “Enroll Now” on the course page, complete and submit the form. A confirmation e-mail and instructions will be sent to the participant’s e-mail.
  • You may also get in touch with our Registration Team on
    +971 50 981 7386 | +971 2 557 7389 or send an email to

  • Payments can be made in USD or UAE local currency AED (Arab Emirates Dirhams) either by Bank Transfer or by Credit Card. Our Bank Account details will be provided on the invoice.
  • Course fees are payable upon booking unless a valid, authorized Purchase Order is provided and accepted.
  • Invoices will be sent via email/courier to the ID/name and address provided.
  • The course fee shall be settled prior to course start date. Corporate payments with existing payment policy shall be relayed to us in advance.

Upon successful registration online, enrolment on the respective training course will be confirmed by Registration Team by e-mail along with the invoice and joining instruction.

For corporate fees and group registration, please send your query to

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