Subsurface Insights: Formation Evaluation and Well Logging Training Course

Introduction

In the upstream oil and gas industry, understanding the characteristics of subsurface rock formations is paramount for identifying hydrocarbon reservoirs, assessing their economic viability, and optimizing drilling and production strategies. Formation evaluation, primarily driven by well logging, provides critical data about rock properties, fluid content, and geological structures encountered during drilling. Accurate interpretation of these logs is indispensable for making informed decisions throughout the exploration and production lifecycle.

This intensive training course is meticulously designed to equip participants with a comprehensive and practical understanding of formation evaluation and well logging. From exploring the fundamental principles of various logging tools and their measurements to mastering the interpretation of log data for petrophysical properties, fluid identification, and geological correlation, you will gain the expertise to unlock subsurface insights. This empowers you to assess reservoir potential, optimize well placement, and contribute significantly to successful hydrocarbon exploration and development projects.

Target Audience

  • Petrophysicists and Geologists.
  • Reservoir Engineers and Production Engineers.
  • Drilling Engineers and Well Site Geologists.
  • Exploration and Development Managers.
  • Data Scientists interested in Geoscience Data.
  • Students and Academics in Petroleum Engineering or Earth Sciences.
  • Anyone involved in the appraisal and development of hydrocarbon fields.
  • Technical Staff in Oil & Gas Companies.

Duration: 10 days

Course Objectives

Upon completion of this training course, participants will be able to:

  • Understand the fundamental principles and applications of various well logging tools.
  • Grasp the relationship between log measurements and subsurface rock and fluid properties.
  • Analyze different types of well logs (e.g., gamma ray, resistivity, porosity, sonic) and their interpretation.
  • Comprehend the process of calculating key petrophysical parameters (porosity, water saturation, permeability).
  • Evaluate the use of well logs for identifying hydrocarbon zones and fluid contacts.
  • Develop practical skills in integrating log data with other geological and geophysical information.
  • Navigate the challenges of log data quality control and environmental corrections.
  • Formulate robust strategies for effective formation evaluation and reservoir characterization.

Course Content

  1. Introduction to Formation Evaluation
  • Defining Formation Evaluation Module: assessing subsurface rock and fluid properties
  • Purpose of Well Logging Module: acquiring continuous measurements in boreholes
  • Importance in E&P Lifecycle Module: exploration, appraisal, development, production
  • Overview of Data Sources Module: well logs, core data, seismic data, test data
  • The interdisciplinary nature of formation evaluation
  1. Basic Principles of Well Logging
  • The Borehole Environment Module: mud invasion, mudcake, borehole effects
  • Logging Tools and Principles Module: how different tools interact with the formation
  • Log Data Acquisition Module: logging while drilling (LWD), wireline logging
  • Log Presentation and Scales Module: standard log formats, linear vs. logarithmic scales
  • Understanding the basics of how well logs are acquired
  1. Gamma Ray (GR) Log
  • Principle of Measurement Module: natural radioactivity of formations
  • Applications of GR Log Module: shale indicator, lithology identification (shale, sand, carbonate)
  • GR Log Interpretation Module: identifying shale content, correlation between wells
  • GR Log Limitations Module: radioactive sands, heavy minerals
  • Using the GR log as a primary lithology indicator
  1. Resistivity Logs
  • Principle of Measurement Module: electrical resistance of formations
  • Types of Resistivity Logs Module: shallow, medium, deep (e.g., Laterolog, Induction Log)
  • Applications of Resistivity Logs Module: hydrocarbon detection, water saturation calculation, invasion profile
  • Resistivity Log Interpretation Module: identifying resistive (hydrocarbon) vs. conductive (water) zones
  • Understanding how resistivity helps identify hydrocarbons
  1. Porosity Logs
  • Defining Porosity Module: volume of pore space in a rock
  • Types of Porosity Logs Module: Density Log, Neutron Log, Sonic Log
  • Density Log Principle and Application Module: electron density, bulk density, porosity calculation
  • Neutron Log Principle and Application Module: hydrogen index, porosity calculation, gas detection
  • Sonic Log Principle and Application Module: compressional wave travel time, porosity calculation, lithology
  • Calculating porosity from different log measurements
  1. Petrophysical Calculations - Porosity and Water Saturation
  • Effective Porosity Calculation Module: accounting for shale effects
  • Shale Volume Determination Module: from GR, SP, or other logs
  • Archie's Equation Module: fundamental equation for water saturation calculation
  • Other Water Saturation Models Module: Indonesian, Simandoux for shaly sands
  • Hydrocarbon Pore Volume (HCPV) Module: calculating the volume of hydrocarbons in place
  • Practical exercises in calculating key petrophysical parameters
  1. Fluid Identification and Fluid Contacts
  • Identifying Hydrocarbons from Logs Module: cross-plots (e.g., Neutron-Density), resistivity separation
  • Gas Detection from Logs Module: neutron-density crossover, sonic anomalies
  • Oil-Water Contact (OWC) and Gas-Water Contact (GWC) Module: identifying fluid boundaries
  • Capillary Pressure and Wettability Module: how fluids are distributed in the reservoir
  • Interpreting logs to determine fluid types and contacts
  1. Well Log Quality Control and Environmental Corrections
  • Factors Affecting Log Quality Module: borehole conditions, tool calibration, logging speed
  • Environmental Corrections Module: borehole size, mud resistivity, temperature, pressure
  • Log Normalization and Conditioning Module: preparing logs for interpretation
  • Repeat Sections and Calibration Checks Module: ensuring consistency and accuracy
  • Ensuring the reliability and accuracy of log data
  1. Integration of Well Logs with Other Data
  • Core-Log Integration Module: calibrating logs with direct core measurements (porosity, permeability)
  • Seismic-Log Tie Module: tying well data to seismic horizons, synthetic seismograms
  • Pressure Data and Fluid Contacts Module: integrating pressure measurements with log interpretation
  • Production Data Integration Module: correlating log interpretations with actual production performance
  • Building a comprehensive subsurface model using integrated data
  1. Advanced Logging Technologies and Future Trends
  • Nuclear Magnetic Resonance (NMR) Logging Module: direct measurement of pore size distribution, fluid typing, permeability
  • Formation Pressure Testing Module: direct measurement of reservoir pressure, fluid samples
  • Image Logs Module: borehole imaging (electrical, acoustic) for fractures, sedimentary features
  • Logging While Drilling (LWD) Advances Module: real-time data for geosteering
  • Machine Learning and AI in Log Interpretation Module: automated facies classification, property prediction
  • The evolving landscape of formation evaluation technologies.

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

For More Details call: +254-114-087-180

 

Subsurface Insights: Formation Evaluation And Well Logging Training Course in Ukraine
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