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Institute For Oil & Gas Training
OGI-1439 New

Borehole Image Applications for Reservoir Characterization Training Course

Duration
5 days
CPD hours
15
Language
English
Next date
23 Nov 2026
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Overview

The Borehole Image Applications for Reservoir Characterization Training Course by Institute For Oil & Gas Training develops the technical capabilities required to interpret borehole image data and apply geological insights to more accurate reservoir characterization. Designed for professionals in the oil and gas sector, this course focuses on transforming high-resolution borehole images into reliable subsurface information that supports reservoir evaluation, geological interpretation, development planning, and reservoir modelling.

Reservoir characterization requires a detailed understanding of the geological features that influence hydrocarbon distribution, fluid movement, and production performance. Conventional well logs provide valuable information about formation properties, but they do not always capture the detailed geological structures, fractures, bedding relationships, and sedimentary features encountered in the wellbore. Borehole imaging addresses this information gap by providing detailed visual representations of the borehole wall, allowing geoscientists and reservoir engineers to investigate geological features at a much finer scale.

The Borehole Image Applications for Reservoir Characterization Training Course examines the practical application of electrical and acoustic borehole imaging technologies in subsurface interpretation. Participants develop an understanding of image acquisition principles, image quality assessment, processing techniques, geological feature identification, and the integration of image-derived information with conventional well logs, core data, seismic interpretation, and other subsurface datasets.

A central focus of the course is understanding geological heterogeneity and its influence on reservoir behaviour. Variations in bedding architecture, sedimentary structures, fractures, faults, and formation boundaries affect reservoir continuity and connectivity. Accurate interpretation of these features helps organisations develop more representative geological models and improve their understanding of reservoir compartments, flow pathways, and potential production challenges.

The course also explores the relationship between borehole image interpretation and reservoir architecture. Participants examine how image-derived observations contribute to identifying depositional environments, distinguishing structural features, evaluating fracture systems, and understanding the distribution of geological facies. These capabilities are particularly important in structurally complex reservoirs, naturally fractured formations, and heterogeneous clastic and carbonate systems.

Another important area is subsurface data integration. Borehole images become more valuable when interpreted alongside gamma ray, resistivity, density, neutron, sonic, nuclear magnetic resonance, core descriptions, and seismic information. The course develops a structured approach to combining these datasets so that geological interpretations are supported by multiple independent sources of evidence.

Institute For Oil & Gas Training addresses the practical skills gap between acquiring borehole image data and using that information effectively in reservoir evaluation. The programme connects image interpretation with operational and business requirements, helping participants understand how geological observations influence reservoir modelling, well placement, completion decisions, and field development strategies.

The training also addresses interpretation quality, uncertainty management, and the limitations of borehole image measurements. Participants examine the influence of borehole conditions, tool orientation, image resolution, data coverage, and processing quality on geological interpretation. Understanding these factors helps technical teams distinguish reliable geological observations from acquisition-related artefacts and interpretation uncertainties.

The Borehole Image Applications for Reservoir Characterization Training Course is relevant to organisations operating in exploration, appraisal, development, and production environments. It provides a practical foundation for using borehole image applications to improve geological understanding, strengthen reservoir descriptions, and support more informed subsurface decisions.

Through technical discussions, interpretation exercises, industry case studies, and integrated subsurface scenarios, Institute For Oil & Gas Training equips professionals with the knowledge to extract greater value from borehole imaging datasets and translate image interpretation into actionable reservoir insights.

Objectives

  • Explain the principles, technologies, and applications of electrical and acoustic borehole imaging in oil and gas operations.

  • Understand the role of borehole image applications for reservoir characterization in exploration, appraisal, and field development.

  • Evaluate borehole image acquisition methods, measurement principles, and factors affecting image quality.

  • Identify geological features, including bedding planes, fractures, faults, sedimentary structures, and formation boundaries.

  • Interpret geological heterogeneity and evaluate its influence on reservoir architecture and continuity.

  • Analyse bedding architecture and depositional features using high-resolution borehole image data.

  • Distinguish natural geological features from image artefacts and acquisition-related irregularities.

  • Assess fracture orientation, distribution, and geological significance in naturally fractured reservoirs.

  • Evaluate structural features and their implications for reservoir connectivity and compartmentalisation.

  • Integrate borehole image interpretations with conventional wireline logs, core information, and seismic datasets.

  • Apply image-derived geological observations to improve reservoir descriptions and geological interpretations.

  • Understand the relationship between borehole image interpretation, petrophysical evaluation, and reservoir modelling.

  • Recognise interpretation uncertainties and establish appropriate quality control practices.

  • Communicate image interpretation findings effectively to multidisciplinary subsurface teams.

  • Apply borehole imaging insights to support well placement, reservoir development, and production optimisation decisions.

Training methodology

Institute For Oil & Gas Training delivers this programme through an industry-focused methodology that combines technical instruction, practical interpretation, collaborative exercises, and realistic oil and gas case studies. The approach connects the principles of borehole imaging with the actual requirements of subsurface teams working across exploration, reservoir evaluation, and field development.

The training begins by establishing a clear understanding of borehole imaging technologies, their measurement principles, and their applications in geological interpretation. Participants examine electrical and acoustic imaging techniques, the information generated by different tools, and the factors that influence image quality and interpretation reliability.

Practical image interpretation exercises form an important part of the programme. Participants work with representative borehole image examples to identify bedding features, fractures, faults, sedimentary structures, and geological boundaries. These exercises develop a consistent interpretation approach and demonstrate how image characteristics relate to subsurface geological conditions.

Case studies provide opportunities to examine the application of borehole imaging in different reservoir environments. Participants investigate examples involving fractured carbonate reservoirs, heterogeneous sandstone formations, structurally complex intervals, and variations in bedding architecture. These scenarios demonstrate how geological features influence reservoir connectivity, compartmentalisation, and development decisions.

The programme also incorporates comparative interpretation exercises. Participants examine borehole image information alongside conventional wireline logs, core descriptions, and other subsurface measurements. This approach demonstrates the importance of subsurface data integration and helps identify inconsistencies between different datasets.

Group discussions encourage participants to evaluate alternative geological interpretations and explain the evidence supporting their conclusions. This collaborative approach reflects the multidisciplinary nature of subsurface operations, where geologists, petrophysicists, reservoir engineers, and drilling specialists contribute different technical perspectives.

Additional practical activities address image quality control, interpretation uncertainty, geological feature classification, and the preparation of interpretation outputs for reservoir modelling. Participants examine how technical observations become structured geological inputs that support reservoir description and development planning.

The methodology emphasises practical application rather than theoretical knowledge alone. Every major subject connects to a recognisable industry requirement, helping participants understand where borehole image interpretation adds value to organisational workflows.

Organisational impact

Effective reservoir characterization is essential for organisations seeking to improve subsurface understanding and make informed investment and development decisions. Borehole image data provides detailed geological information that strengthens the interpretation of reservoir structures, formation boundaries, and geological features affecting hydrocarbon distribution and movement.

This training enables sponsoring organisations to improve the technical application of borehole imaging across their subsurface workflows. Participants develop the ability to extract geological information from image datasets and communicate findings in a format that supports exploration, reservoir engineering, and development planning.

Improved Reservoir Understanding

A stronger understanding of geological heterogeneity enables technical teams to develop more representative reservoir descriptions. Better identification of bedding architecture, fractures, faults, and geological boundaries supports more reliable assessments of reservoir continuity and internal complexity.

More Effective Reservoir Modelling

Image-derived geological information provides valuable constraints for geological interpretation and reservoir modelling. Organisations benefit from improved geological inputs, more informed assumptions about structural features, and better integration of well-scale observations into reservoir models.

Better Reservoir Connectivity Assessment

Accurate interpretation of fractures, bedding relationships, and structural features improves understanding of potential fluid flow pathways and reservoir compartmentalisation. These insights support more informed evaluations of connectivity and production behaviour.

Stronger Subsurface Data Integration

The programme promotes consistent integration of borehole images with conventional logs, core data, seismic interpretation, and petrophysical information. This improves the technical consistency of subsurface evaluations and reduces reliance on isolated datasets.

Improved Technical Decision-Making

Organisations benefit from stronger interpretation capabilities when evaluating exploration prospects, appraisal wells, and development opportunities. Image-derived geological observations provide additional evidence for assessing formation characteristics and selecting appropriate development strategies.

Greater Interpretation Consistency

A structured understanding of image quality, geological feature recognition, and interpretation limitations supports more consistent technical workflows. Teams become better equipped to recognise acquisition artefacts, document interpretation assumptions, and communicate geological uncertainty.

Operational Efficiency

Improved use of available borehole image datasets helps organisations extract greater value from existing well information. Better interpretation and integration practices support more focused technical reviews and reduce avoidable inconsistencies during subsurface evaluation.

Enhanced Multidisciplinary Collaboration

The course strengthens communication between geologists, petrophysicists, reservoir engineers, and drilling professionals. A shared understanding of borehole image applications improves the transfer of geological information between technical disciplines.

More Informed Development Planning

A detailed understanding of reservoir architecture and geological complexity supports better-informed decisions concerning well placement, completion strategies, and reservoir management. Organisations gain stronger geological evidence for evaluating development alternatives.

Personal impact

Participants develop specialised technical capabilities that strengthen their contribution to subsurface evaluation and reservoir development activities. The programme provides practical knowledge of borehole image technologies and their application to geological interpretation, enabling professionals to work more effectively with high-resolution wellbore datasets.

Advanced Borehole Image Interpretation Skills

Participants improve their ability to interpret electrical and acoustic borehole images, recognise geological features, and understand the information generated by different imaging technologies. They gain a more structured approach to evaluating image quality and extracting useful geological observations.

Improved Geological Understanding

The training strengthens knowledge of bedding architecture, sedimentary structures, fractures, faults, and geological heterogeneity. Participants become better equipped to relate image-derived observations to depositional environments, structural settings, and reservoir architecture.

Stronger Reservoir Characterization Capabilities

Participants learn how borehole imaging contributes to reservoir description and the evaluation of geological continuity. They develop the ability to interpret features that influence reservoir connectivity, internal heterogeneity, and potential compartmentalisation.

Enhanced Subsurface Data Integration

Professionals improve their understanding of how borehole images relate to conventional wireline logs, core data, seismic information, and petrophysical measurements. This strengthens their ability to contribute to integrated subsurface studies.

Better Technical Reporting

The programme develops the ability to document image interpretation findings, communicate geological observations, and explain the evidence supporting technical conclusions. Participants improve their contribution to multidisciplinary technical reviews and reservoir evaluation reports.

Improved Analytical and Problem-Solving Skills

Participants learn to assess image quality, distinguish geological features from acquisition artefacts, and recognise the limitations of interpretation. These capabilities strengthen technical judgement when dealing with complex subsurface conditions.

Career and Professional Development

The knowledge gained supports professional development across geology, petrophysics, reservoir engineering, and subsurface interpretation. Participants strengthen their technical profile and expand their ability to contribute to exploration, appraisal, development, and production projects.

Greater Confidence in Technical Collaboration

Participants develop a stronger understanding of the information required by different subsurface disciplines. This enables more productive technical discussions and improves their ability to explain borehole image interpretations to colleagues and management.

Who should attend

  • Geologists: Professionals responsible for geological interpretation, formation evaluation, sedimentary analysis, and structural assessment who require advanced borehole image interpretation knowledge.

  • Petrophysicists: Specialists integrating wireline measurements and image-derived information to improve formation evaluation and reservoir descriptions.

  • Reservoir Engineers: Engineers seeking to understand geological heterogeneity, reservoir connectivity, and the influence of geological features on reservoir performance.

  • Well Log Analysts: Professionals responsible for interpreting well logs and incorporating borehole image information into integrated formation evaluations.

  • Borehole Imaging Specialists: Technical personnel involved in acquiring, processing, evaluating, and interpreting electrical and acoustic borehole image datasets.

  • Geoscientists: Subsurface professionals involved in geological modelling, structural interpretation, and reservoir evaluation who require a better understanding of image-derived geological information.

  • Exploration Geologists: Specialists evaluating exploration prospects and geological formations who need to assess structural features and reservoir characteristics.

  • Development Geologists: Professionals supporting field development and well planning who use geological interpretations to understand reservoir architecture and continuity.

  • Formation Evaluation Specialists: Technical personnel integrating multiple well measurements to evaluate lithology, fractures, and formation characteristics.

  • Geological Modellers: Specialists responsible for developing geological models who need reliable well-scale constraints for representing geological heterogeneity.

  • Subsurface Data Analysts: Professionals responsible for managing and integrating geological, petrophysical, and well log datasets.

  • Drilling Engineers: Engineers seeking to understand the geological information obtained from borehole imaging and its relevance to wellbore conditions and subsurface interpretation.

  • Wellsite Geologists: Professionals involved in real-time geological evaluation and wellsite interpretation who require additional knowledge of borehole image applications.

  • Technical Team Leaders and Supervisors: Managers overseeing geology, petrophysics, reservoir evaluation, and formation assessment activities who need to strengthen technical review capabilities.

  • Exploration and Production Managers: Senior professionals responsible for subsurface investment, field development, and technical performance who require an understanding of the organisational value of borehole imaging.

Course outline

This module introduces the principles and applications of borehole imaging technologies in oil and gas exploration and production. Participants examine the differences between electrical and acoustic imaging systems, their measurement principles, and the types of geological information generated by each technology.

The module also explores image acquisition, tool orientation, borehole conditions, image resolution, and data quality considerations. Participants develop an understanding of how acquisition parameters and wellbore conditions influence image interpretation and the reliability of geological observations.

  1. Energistics WITSML Standard

    • WITSML provides a recognised framework for exchanging wellsite and well-related information between different software applications and operational systems.

    • The standard supports the structured transfer of well data, including relevant logging information, between participating systems.

    • It promotes interoperability and more consistent management of well information across subsurface workflows.

    • Its application supports the integration of well-related datasets used in borehole imaging and formation evaluation.

    Learning Outcomes

    • Explain the fundamental principles of electrical and acoustic borehole imaging.

    • Differentiate between major borehole imaging technologies and their applications.

    • Describe how borehole imaging tools acquire geological information.

    • Identify the influence of tool orientation, borehole conditions, and image resolution on data quality.

    • Understand the relationship between image acquisition parameters and interpretation reliability.

    • Recognise common acquisition-related artefacts and data limitations.

    • Explain the importance of structured well data exchange in subsurface workflows.

This module focuses on extracting geological information from borehole images to understand formation characteristics and reservoir architecture. Participants examine the interpretation of bedding planes, sedimentary structures, lithological variations, and formation boundaries using high-resolution image datasets.

The module explores how bedding architecture reflects depositional processes and geological variation within reservoir formations. Participants investigate the relationship between image features, structural dip, sedimentary characteristics, and geological heterogeneity, with particular attention to the interpretation of clastic and carbonate reservoir systems.

  1. ISO 14689:2017

    • ISO 14689 establishes principles for the identification, description, and classification of rock materials.

    • It provides a recognised basis for documenting lithological characteristics and relevant rock properties.

    • Its classification principles support consistent geological descriptions across technical investigations.

    • The standard provides a useful reference when relating borehole image observations to geological rock descriptions.

    Learning Outcomes

    • Identify bedding planes and geological boundaries on borehole images.

    • Interpret sedimentary structures and their relationship to depositional environments.

    • Evaluate bedding orientation and structural dip from image data.

    • Recognise geological heterogeneity within different reservoir formations.

    • Differentiate between clastic and carbonate geological features.

    • Interpret image-derived evidence of lithological variation and formation architecture.

    • Relate borehole image observations to geological descriptions and reservoir continuity.

    • Explain how bedding architecture influences reservoir characterization.

This module examines the application of borehole imaging to the identification and interpretation of fractures, faults, and other structural features. Participants explore how image-derived information supports the evaluation of fracture orientation, distribution, and geological significance within different reservoir environments.

Particular attention is given to naturally fractured carbonate reservoirs and structurally complex formations. The module investigates the relationship between fracture networks, geological discontinuities, reservoir connectivity, and potential fluid flow pathways. Participants also examine the interpretation limitations associated with borehole coverage and the distinction between natural geological features and drilling-induced features.

  1. SPE Petroleum Resources Management System

    • The SPE Petroleum Resources Management System provides a recognised framework for classifying and categorising petroleum resources.

    • It establishes principles for evaluating petroleum resources based on technical and commercial considerations.

    • It supports consistent communication of resource estimates and project maturity.

    • Geological and reservoir interpretations contribute to the technical understanding required for petroleum resource evaluation.

    Learning Outcomes

    • Identify fractures, faults, and structural discontinuities on borehole images.

    • Evaluate fracture orientation and distribution using image interpretation.

    • Differentiate natural fractures from common drilling-induced features.

    • Understand the geological significance of fracture systems in carbonate and clastic formations.

    • Assess the potential influence of structural features on reservoir connectivity.

    • Recognise geological evidence of reservoir compartmentalisation.

    • Relate fracture interpretation to fluid flow pathways and reservoir behaviour.

    • Explain how image-derived geological information supports reservoir evaluation.

This module develops the ability to integrate borehole image interpretations with other subsurface datasets. Participants examine how image-derived geological information complements conventional wireline logs, core descriptions, seismic interpretation, and petrophysical measurements.

The focus is on building a consistent geological understanding by comparing different sources of subsurface evidence. Participants explore data correlation, interpretation validation, geological uncertainty, and the relationship between well-scale observations and broader reservoir descriptions. The module also addresses the importance of consistent data management and quality control when preparing integrated subsurface interpretations.

  1. CWLS LAS Standard

    • The Canadian Well Logging Society Log ASCII Standard provides a recognised format for exchanging digital well log data.

    • LAS files support the structured storage and transfer of well log curves and associated information.

    • The format facilitates the use of well log datasets across different interpretation applications.

    • It supports the integration of conventional log measurements with image-derived geological observations during formation evaluation.

    Learning Outcomes

    • Explain the importance of subsurface data integration in reservoir characterization.

    • Integrate borehole image observations with conventional wireline log measurements.

    • Relate image-derived geological features to core descriptions and petrophysical information.

    • Understand the complementary roles of borehole images and seismic interpretation.

    • Evaluate inconsistencies between different subsurface datasets.

    • Apply appropriate quality control principles when reviewing integrated interpretations.

    • Recognise uncertainty arising from differences in data resolution and coverage.

    • Prepare integrated geological observations to support reservoir evaluation.

This module examines how borehole image interpretation contributes to geological modelling and reservoir development decisions. Participants explore how bedding architecture, fracture systems, geological boundaries, and reservoir heterogeneity influence the representation of subsurface formations in geological models.

The module also addresses the translation of well-scale geological observations into reservoir-scale interpretations. Participants examine the importance of model constraints, structural interpretation, geological continuity, and reservoir connectivity when developing representative reservoir descriptions. The final focus is on communicating image-derived insights to support well placement, field development, and reservoir management decisions.

  1. Energistics RESQML Standard

    • RESQML is an Energistics standard for exchanging reservoir and earth model information between different software applications.

    • It supports the transfer of structured geological and reservoir modelling information.

    • The standard facilitates interoperability between participating subsurface interpretation and modelling systems.

    • It supports the integration and exchange of geological model information used in reservoir evaluation and development workflows.

    Learning Outcomes

    • Explain the relationship between borehole image interpretation and geological reservoir modelling.

    • Translate image-derived geological observations into meaningful model constraints.

    • Evaluate how geological heterogeneity influences reservoir architecture and continuity.

    • Understand the importance of bedding and fracture interpretation in geological modelling.

    • Assess the implications of reservoir connectivity and compartmentalisation for development planning.

    • Integrate borehole image findings into multidisciplinary reservoir evaluation workflows.

    • Recognise the influence of interpretation uncertainty on geological model development.

    • Communicate image-derived insights to support well placement and reservoir management decisions.

Certificate

Upon successful completion of the Borehole Image Applications for Reservoir Characterization Training Course, attendees receive a Certificate of Completion from Institute For Oil & Gas Training.

The certificate recognises participation in the programme and completion of its training requirements. Attendees are required to meet the minimum attendance requirement of 80 percent of the total course duration to qualify for the Certificate of Completion.

Course dates

  • Europe

    Middle East

    Asia

    Africa

    North America

    Online

    Fee: £3,600

  • Europe

    Middle East

    Asia

    Africa

    North America

    Online

    Fee: £3,600

  • Europe

    Middle East

    Asia

    Africa

    North America

    Online

    Fee: £3,600

  • Europe

    Middle East

    Asia

    Africa

    North America

    Online

    Fee: £3,600

Fees include tuition, course materials and refreshments. Need different dates or a different city? Ask about your preferred date.

Frequently asked questions

What is the Borehole Image Applications for Reservoir Characterization Training Course about?

The course explains how electrical and acoustic borehole imaging technologies provide detailed geological information for reservoir characterization. It covers image acquisition, image quality assessment, geological feature identification, bedding architecture, fracture analysis, subsurface data integration, and reservoir modelling applications. Participants learn how to interpret image-derived information and apply it to exploration, appraisal, and development activities.

Who should attend this borehole imaging training course?

The programme is designed for geologists, petrophysicists, reservoir engineers, well log analysts, borehole imaging specialists, geological modellers, formation evaluation professionals, and subsurface data analysts. It is also relevant to drilling engineers, exploration specialists, development geologists, technical supervisors, and managers involved in oil and gas subsurface operations.

What are the main technologies covered in the course?

The programme covers electrical and acoustic borehole imaging technologies and their applications in geological interpretation. It examines image acquisition principles, measurement characteristics, image quality, and the interpretation of geological features. Participants also explore how borehole image information complements conventional wireline logs, core descriptions, seismic datasets, and petrophysical measurements.

How does borehole imaging improve reservoir characterization?

Borehole imaging provides detailed information about geological structures and formation features that are not always fully represented by conventional well logs. It supports the identification of bedding planes, fractures, faults, sedimentary structures, and geological boundaries. These observations improve understanding of geological heterogeneity, bedding architecture, reservoir connectivity, and formation continuity, providing valuable inputs for geological interpretation and reservoir modelling.

What certificate will participants receive after completing the course?

Attendees receive a Certificate of Completion from Institute For Oil & Gas Training upon finishing the programme and meeting the minimum attendance requirement of 80 percent of the total course duration. The certificate recognises their participation and completion of the training requirements.

Next: 23 Nov 2026

4 dates available

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