Name: Petrophysical Properties Training Course
Rating: 4.7 (1076 reviews)

Scheduled Dates

Classroom

20 - 24 Apr 2026

Dubai - UAE

$5,950

20 - 24 Jul 2026

Abu Dhabi - UAE

$5,950

30 Nov - 04 Dec 2026

Dubai - UAE

$5,950

19 - 23 Apr 2027

Dubai - UAE

$5,950

19 - 23 Jul 2027

Abu Dhabi - UAE

$5,950

29 Nov - 03 Dec 2027

Dubai - UAE

$5,950

Online

30 Nov - 04 Dec 2026

Online

$4,950

29 Nov - 03 Dec 2027

Online

$4,950

Why Choose this Training Course?

This interactive PetroKnowledge training course will highlight the importance of data integration from a variety of sources to address complex reservoir evaluation and productivity challenges experienced throughout the full asset life cycle.

This PetroKnowledge training course will cover a variety of data sources, fundamentals of reservoir characterisation, and methodologies of integrating key information. The course combines theory with practical exercises to give participants a working knowledge of how integrating available data at various scales can be used to evaluate reservoir quality, heterogeneity and improve the productive potential to maximize recovery of hydrocarbons.

This training course will feature:

Principles of rock and reservoir properties
The value of different data sources and purposes of data acquisition for reservoir analysis
Integration of core and log data to characterise flow units and reservoir properties
Provide hands on experience using field examples to evaluate complex reservoir conditions
Give advice regarding common pitfalls of data acquisition, interpretation and presentation of results

What are the Goals?

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

Understand the benefits of data integration
Understand various sources of data and the purpose of data acquisition
Plan data acquisition programmes and oversee core handling and preservation techniques
Understand the role of routine and special core analysis in reservoir characterisation
Deduce reservoir properties from log interpretation and core analysis
Integrate reservoir and well data to provide an evaluation of the reservoir and characterize flow units
Avoid common pitfalls of data acquisition and analysis
Present and manage data appropriately

Who is this Training Course for?

This training course is suitable for a wide range of professionals who have a basic understanding of petrophysics, geology, engineering and need a more advanced course covering how to integrate different data sets together to gain an improved understanding of reservoir performance.

Geologists
Well Site Geologists
Petrophysicists
Reservoir Engineers
Production Engineers
Drilling Engineers
Data Managers
Oil and Gas Industry Professionals involved in logging data interpretation and validation

How will this Training Course be Presented?

This training course will present methodologies to integrate the various data types in conjunction with a number of exercises combined with field examples in a workshop format to enhance the learning and knowledge of the participants.

Organisational Impact

Personnel will be able to:

Plan improved data acquisition programs
More effectively assess wider data sets for the benefit of a range of asset types
Work more effectively in a multi-disciplinary team and manage third party contractors
Appraise existing data sets and evaluations with the aim of reducing In-Place volume uncertainty

Personal Impact

Develop and build on existing knowledge of the collection and interpretation of core, log and test data
Learn the principles of data acquisition planning and be able to identify the best combination of tests and techniques for an optimal analysis programme
Gain an understanding of the pitfalls of the various data types and their potential implications
Raise self-assurance in evaluating previous studies
Provide confidence in managing third party relationships

Daily Agenda

Day 1: Introduction and Reservoir Properties

Overview of the need for integrated data analysis – advantages and disadvantages
Overview of the various data types and sources (well log, core and fluid samples etc)
Refresh rock properties (porosity and permeability)
Basic Fluid properties
Pressure and temperature gradients

Day 2: Data Acquisition and Description

Wireline logs – an overview of key log types including gamma ray, spontaneous potential, resistivity, caliper, Neutron-density and image logs
- Acquisition planning
- Best practice for log data
Coring – an overview of whole and sidewall core logging
- Acquisition planning
- Core handling and preservation – core orientation
- Best practice for core data
Formation Tests – MDT and RFT
- Acquisition planning
Exercise: Analysis of data types and plan data acquisition

Day 3: Data Preparation

Core Data
- QC core data and bias check
- Preliminary zonation determination
- Routine Core Analysis (RCA)
- Special Core Analysis (SCAL)
Log Data
- Log preparation audit and normalization, data conditioning
- Environmental corrections
- Lithostratigraphic and chronostratigraphic correlation
Log and Core synchronisation – lag determination, logging cuttings and core to correlate with the log suite
Well Test Interpretation
- Drill stem testing – reservoir scale fluid pressure and mobility, fluid return and flow dynamics
- Wireline and LWD formation testing – fluid extraction, downhole chemical analysis, sample return, mobility and flow dynamics
- Pressure transient analysis
Exercise: Core, log and well test inspection and QC

Day 4: Integration of Data, Analysis and Interpretation

Core Analysis
- Core description and logging
- Integration of RCA with core
- Assimilation of SCAL techniques to evaluate capillary pressures, wettability, petrophysical properties (m, n), saturations, permeability, rock strength, stress / strain
Log Analysis
- Basic Log Analysis – compute Vsh, porosity, Sw, K, Netpay
- Common pitfalls of basic log analysis
Well test interpretation to assess well productivity and production issues
- Integrate well tests and production logging data
- Determination of hydrocarbons in place
- Water and gas coning effects
- Contact evaluation
Exercise: Integration of core and log data for porosity and permeability calculations, scale up of permeability and calibration, evaluation of well productivity

Day 5: Data Presentation, Sensitivity Studies and Next Steps

Data set pitfalls
- Resolution of lateral and vertical heterogeneity
- Scaling issues between reservoir field scale (DST), logging scale and detailed laboratory testing
Managing Uncertainty
- Recalculation sensitivity studies – evaluating existing studies
- Effects of uncertainty on In Place volumes
Reporting of results
Data presentation and database management
- Data formats for integration
- Data hierarchy
Next steps
- Integration of core, log and test data for use in reservoir modelling
- Further analysis options

Certificate

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

In Association With

Visit Website

Visit Website

Would an alternative date be more suitable?

We offer a variety of tailored training options, customized to meet your organisation's needs. Delivered anytime, anywhere, we make it easy to bring expert training directly to your team.

Related Categories

Geology & Petrophysics

Subscribe To Our Newsletter

CERTIFICATES

An Interactive 5-Day Training Course

Petrophysical Properties

Core, Log and Test Data Integration