Pideya Learning Academy

Petrophysics Fundamentals for Energy Professionals

Upcoming Schedules

  • Live Online Training
  • Classroom Training

Date Venue Duration Fee (USD)
06 Jan - 10 Jan 2025 Live Online 5 Day 2750
17 Mar - 21 Mar 2025 Live Online 5 Day 2750
05 May - 09 May 2025 Live Online 5 Day 2750
16 Jun - 20 Jun 2025 Live Online 5 Day 2750
14 Jul - 18 Jul 2025 Live Online 5 Day 2750
25 Aug - 29 Aug 2025 Live Online 5 Day 2750
10 Nov - 14 Nov 2025 Live Online 5 Day 2750
15 Dec - 19 Dec 2025 Live Online 5 Day 2750

Course Overview

In today’s complex energy landscape, understanding the subsurface is no longer optional—it’s fundamental. The Petrophysics Fundamentals for Energy Professionals training offered by Pideya Learning Academy is carefully structured to provide participants with a deep understanding of petrophysical concepts, log interpretation methods, and core data integration. This foundational course empowers energy professionals with the knowledge required to accurately evaluate reservoirs, reduce exploration and production risks, and enhance asset performance.
As the demand for hydrocarbons evolves alongside the global energy transition, efficient reservoir characterization is essential to meeting both economic and environmental expectations. According to MarketsandMarkets, the global reservoir analysis market was valued at USD 7.3 billion in 2021 and is expected to surpass USD 10.5 billion by 2026, propelled by increased investments in exploration, improved well performance strategies, and the growing need for real-time formation evaluation. In this context, the role of petrophysics is more critical than ever, especially in unlocking reserves in both conventional and unconventional plays.
This intensive five-day program focuses on building a comprehensive understanding of petrophysical parameters and how they influence reservoir development. Through an expertly designed curriculum, participants will explore core topics such as porosity, permeability, water saturation, resistivity, clay volume estimation, and rock typing. Special emphasis is placed on the widely recognized 3-Line Method of log analysis and the integration of core data to improve reservoir modeling and fluid distribution predictions.
One of the distinguishing features of this course is its commitment to multidisciplinary alignment. Participants will gain insights into how petrophysical interpretations influence geoscience, drilling, production engineering, and reservoir simulation. Real-world case studies and group interpretation sessions simulate actual asset team interactions, providing a collaborative learning experience that mirrors industry settings.
The course is tailored to professionals at the early to intermediate stages of their careers, especially those working in reservoir engineering, geology, or formation evaluation. It aims to build not just theoretical understanding, but also the confidence to communicate complex subsurface information to cross-functional teams.
Alongside robust technical content, participants can expect the following key highlights seamlessly embedded throughout the training experience:
Step-by-step walkthrough of the 3-Line Method for log interpretation, tailored for clastic and carbonate reservoirs.
Integration of laboratory core analysis with wireline log data, enhancing subsurface modeling precision.
Focus on multidisciplinary teamwork, ensuring geoscientists and engineers can collaborate more effectively.
Exposure to workflows for both conventional and unconventional reservoir types, with insights into regional best practices.
Detailed exploration of porosity, saturation, resistivity, and rock type analysis, including clay volume and flow unit classification.
Customizable content delivery based on participant experience levels, ensuring relevance across varied technical backgrounds.
Interpretation exercises rooted in actual industry challenges, helping participants translate theory into applicable knowledge.
By the end of the course, participants will be equipped with the skills to make informed, data-driven decisions that positively impact reservoir performance, optimize hydrocarbon recovery, and support the strategic goals of their organizations. Whether you’re an entry-level geoscientist, a reservoir engineer, or a team member involved in well log analysis, this course will solidify your technical foundation and enable you to add greater value to your field development activities.
Pideya Learning Academy remains committed to delivering high-quality technical training that blends clarity, depth, and applicability—ensuring professionals are prepared to meet the evolving demands of the global energy sector.

Key Takeaways:

  • Step-by-step walkthrough of the 3-Line Method for log interpretation, tailored for clastic and carbonate reservoirs.
  • Integration of laboratory core analysis with wireline log data, enhancing subsurface modeling precision.
  • Focus on multidisciplinary teamwork, ensuring geoscientists and engineers can collaborate more effectively.
  • Exposure to workflows for both conventional and unconventional reservoir types, with insights into regional best practices.
  • Detailed exploration of porosity, saturation, resistivity, and rock type analysis, including clay volume and flow unit classification.
  • Customizable content delivery based on participant experience levels, ensuring relevance across varied technical backgrounds.
  • Interpretation exercises rooted in actual industry challenges, helping participants translate theory into applicable knowledge.
  • Step-by-step walkthrough of the 3-Line Method for log interpretation, tailored for clastic and carbonate reservoirs.
  • Integration of laboratory core analysis with wireline log data, enhancing subsurface modeling precision.
  • Focus on multidisciplinary teamwork, ensuring geoscientists and engineers can collaborate more effectively.
  • Exposure to workflows for both conventional and unconventional reservoir types, with insights into regional best practices.
  • Detailed exploration of porosity, saturation, resistivity, and rock type analysis, including clay volume and flow unit classification.
  • Customizable content delivery based on participant experience levels, ensuring relevance across varied technical backgrounds.
  • Interpretation exercises rooted in actual industry challenges, helping participants translate theory into applicable knowledge.

Course Objectives

After completing this Pideya Learning Academy training, the participants will learn:
The importance of petrophysics in reservoir evaluation and field development.
Basic concepts of log interpretation using the 3-Line method.
How to integrate core and log data for improved subsurface analysis.
Techniques for calculating porosity, water saturation, and hydrocarbon volumes.
Methods to assess clay content and its impact on reservoir performance.
Key considerations in petrophysical rock typing and flow unit identification.
How to collaborate effectively with geoscientists and engineers on reservoir studies.

Personal Benefits

Foundational knowledge in petrophysics and log interpretation.
Increased confidence in analyzing and presenting subsurface data.
Broader understanding of reservoir behavior and evaluation techniques.
Improved teamwork and contribution to asset development discussions.

Organisational Benefits

Enhanced technical competence of early-career geoscience and engineering staff.
Improved reservoir interpretation and asset team collaboration.
Greater consistency and accuracy in field development planning.
Stronger interdisciplinary communication across subsurface functions.

Who Should Attend

This course is ideal for:
Geoscientists and geologists involved in reservoir studies.
Reservoir engineers involved in field development planning.
Technical professionals responsible for interpreting subsurface data.
Early-career hires (0–3 years of experience) seeking to build a strong foundation in petrophysical analysis.

Course Outline

Module 1: Fundamentals of Petrophysical Analysis
Introduction to petrophysics in reservoir studies Role of petrophysics in field development planning Importance of petrophysical properties in reservoir evaluation Core concepts: porosity, permeability, and fluid saturation Petrophysical data sources: well logs, core data, and laboratory measurements Integration of petrophysical data in multidisciplinary teams
Module 2: Reservoir Volume Estimation Techniques
Bulk volume, pore volume, and hydrocarbon pore volume calculations Net-to-gross ratio and effective porosity interpretation Rock typing for volumetric estimations Fluid contact identification and uncertainty considerations Volume calculation workflows Introduction to reservoir modeling inputs
Module 3: Pore System Architecture and Characterization
Capillary pressure and pore throat distribution Pore geometry and rock fabric analysis Influence of grain size and sorting on pore structure Mercury injection and thin section analysis techniques Impact of pore geometry on permeability and flow
Module 4: Porosity Measurement and Interpretation
Total vs effective porosity Porosity from core, log, and laboratory methods Density, neutron, and sonic porosity relationships Shale effect and porosity corrections Lithology-dependent porosity adjustments Calibration of log-derived porosity with core data
Module 5: Resistivity Evaluation and Water Saturation Models
Electrical properties of reservoir rocks Archie’s equation and its limitations Formation resistivity factor and cementation exponent Saturation exponent and water saturation models Laminated sands and shaly sand interpretation models Deep vs shallow resistivity and invasion effects
Module 6: Petrophysical Rock Classification and Typing
Lithofacies and electrofacies classification Cross-plotting techniques for rock typing Integration of core description with log responses Petrophysical facies and reservoir quality indexing Rock physics models for property prediction Clustering and statistical methods in rock typing
Module 7: Shale and Clay Impact on Reservoir Evaluation
Types of clay minerals and their behavior Clay content estimation from logs Cation exchange capacity and bound water Clay distribution and its effect on resistivity and porosity Volume of shale interpretation models Advanced log interpretation in clay-rich formations
Module 8: Rapid Log Analysis and Screening Techniques
Quick-look log interpretation strategies Pattern recognition in log curves Cut-off determination for net pay evaluation Use of crossplots and overlays for rapid screening Log normalization and consistency checks Quality control and flagging anomalous data
Module 9: Hydraulic Flow Unit Determination
Definition and classification of flow units Flow zone indicator (FZI) methodology Reservoir quality index (RQI) calculations Linking flow units to geological facies Use of flow units in reservoir simulation models Application of FZI in permeability prediction
Module 10: Integrated Case Study and Interpretation Workshop
Multi-well petrophysical analysis project Step-by-step reservoir characterization from logs Correlation of core and log data across wells Integration with seismic and geological models Interpretation report preparation and presentation Review and feedback on group analysis
Module 11: Petrophysical Uncertainty and Risk Management
Uncertainty sources in petrophysical interpretation Sensitivity analysis of petrophysical inputs Scenario analysis and probabilistic modeling Managing data gaps and ambiguity in logs Impact of uncertainty on STOIIP/OOIP estimations Decision-making with uncertain petrophysical data
Module 12: Advanced Topics in Petrophysics
NMR logging and interpretation Dielectric and spectral gamma ray tools Resistivity imaging and borehole imaging tools Thin-bed evaluation and high-resolution techniques Machine learning applications in petrophysics Petrophysical evaluation in unconventional reservoirs

Have Any Question?

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