3D Seismic Attributes for Reservoir Characterization
| Code | Date | Time | Duration | Location | Currency | Team of 10 Per Person | Team of 7 Per Person | Early Bird Fee Per Person | Normal Fee Per Person |
|---|---|---|---|---|---|---|---|---|---|
| PEA-SAC26 | 17 - 21 Aug 2026 | 7 PM Indian Time |
4 Hours Per Day
|
Zoom Online
|
USD
|
1500
|
1850
|
2000
|
2500
|
The classes will be conducted online via Zoom from Monday to Friday, for 4 hours per day excluding breaks.
Boost your team's skills and your budget! Enjoy group discounts for collaborative learning. Send an inquiry to info@peassociations.com.
3D Seismic Attributes for Reservoir Characterization
This course provides a comprehensive understanding of 3D seismic attributes and their applications in reservoir characterization. Participants will learn how to compute, interpret, and integrate seismic attributes to reveal subtle geological features, improve reservoir models, and enhance hydrocarbon prediction accuracy.
Description
The 3D Seismic Attributes for Reservoir Characterization course focuses on the principles, computation, and interpretation of seismic attributes derived from 3D seismic data. Seismic attributes are powerful tools that help geoscientists visualize and quantify subsurface structures, stratigraphy, and lithology variations with greater clarity and precision.
The course explores both conventional and advanced seismic attributes, including amplitude, phase, frequency, coherence, curvature, and spectral decomposition. It demonstrates how these attributes can be used to map faults, fractures, and depositional environments, and to identify fluid contacts and reservoir heterogeneity.
Through practical exercises and real-world examples, participants will gain hands-on experience in integrating seismic attributes with geological and petrophysical data for improved reservoir characterization and modeling.
Advances in seismic technology have transformed how geoscientists interpret the subsurface. 3D seismic data, combined with attribute analysis, provides a multidimensional view of reservoir geometry and quality. This course introduces the concepts and workflows of seismic attribute analysis, enabling professionals to convert seismic data into meaningful geological and reservoir insights.
By the end of the training, participants will understand how seismic attributes enhance interpretation accuracy and support decision-making throughout the exploration and development phases.
Understand the theory and classification of 3D seismic attributes.
Compute and interpret amplitude, phase, and frequency attributes.
Apply geometric and coherence attributes for fault and fracture detection.
Use spectral decomposition and inversion attributes for reservoir analysis.
Integrate seismic attributes with well and petrophysical data for reservoir modeling.
Apply attribute-based workflows for stratigraphic and structural interpretation.
Evaluate attribute reliability and select the most relevant attributes for specific objectives.
The course combines classroom presentations with hands-on interpretation sessions. Participants will analyze 3D seismic datasets using industry examples to compute and interpret various attributes. Case studies from different geological settings illustrate best practices and common pitfalls in attribute analysis.
Interactive discussions and problem-solving exercises ensure participants can confidently apply learned techniques to real-world projects.
Improved reservoir understanding and mapping accuracy.
Enhanced exploration and development planning through attribute-based analysis.
Reduced uncertainty in reservoir delineation and hydrocarbon prediction.
Better integration of seismic interpretation with geological and petrophysical data.
Strengthened technical competency within subsurface teams.
Gain proficiency in 3D seismic attribute computation and interpretation.
Develop confidence in linking seismic responses to geological features.
Learn to apply attributes effectively for fracture, stratigraphic, and lithology mapping.
Strengthen multidisciplinary understanding of geophysical and geological integration.
Enhance career growth through advanced seismic interpretation skills.
Geophysicists and Seismic Interpreters
Exploration and Development Geologists
Reservoir Engineers and Modelers
Geoscience Data Analysts
Technical Managers involved in subsurface evaluation
Review Of Seismic Structural And Stratigraphic Interpretation
Introduction for Seismic Attributes
Complex trace, horizon, and formation attributes
Mathematical Meaning Of Seismic Attributes
Physical Meaning Of Seismic Attributes
Seismic Attribute Application Trends
Seismic Attribute Methodology
Window attributes application, surface attributes
application to detect faults and geobodies
Data Preconditioning for seismic attributes analysis.
Image enhancement for fault extraction.
Impact of acquisition and processing on seismic attributes
Complex Trace attributes .
Instantaneous attributes.
Physical attributes for geobodies detection.
Practical exercises compare between physical attributes
for geobodies detections.
Application of Physical attributes for Stratigraphic interpretation.
Spectral Decomposition different algorithms comparisons.
Multiattribute display Definition and interrelationship
between RGB, CMY, and HLS color models. Best practices
for multiattribute display.
DHI attributes
Geometric attributes A summary of volumetric dip/azimuth,
coherence, Sobel filter, amplitude and structural curvature,
reflector shapes, reflector rotation, reflector convergence,
and GLCM texture attributes.
Gulf Of Mexico FIELD (software application )
Software application case studies thin channel detection
using SD attributes
Software application case study DHI detection
Application of RGB to detect geobodies
Attribute expression of tectonic deformation
Seismic chronostratigraphy
Direct and indirect estimates of fractures and horizontal stress
Attribute expression of clastic depositional environments
Application of geometric structure detections
Attribute expression of carbonate deposition environments
Attribute expression of shallow stratigraphy and drilling hazards
Gulf Of Mexico FIELD (software application )
Software application case studies faults detection using attributes
Anti-tracking and new faults attributes
Hybrid attributes new generation of seismic attributes
Attribute expression of shallow stratigraphy and drilling hazards
Artificial intelligent
Unsupervised multiattribute classification
Supervised multiattribute classification
Case Study North Sea Field (software application )
Seismic sequence stratigraphic workflow using attributes
Geometric attributes workflow for faults detection
Your expert course leader stands as a distinguished figure in the field of seismic interpretation with an impressive 30-year career trajectory that showcases both technical excellence and industry leadership. His deep technical expertise in 3D seismic attributes for reservoir characterization has established him as a pivotal authority in bridging the gap between geophysical theory and subsurface reality.
Over three decades, he has mastered the nuances of spectral decomposition , complex trace analysis , and geometric attributes , consistently delivering workflows that reduce interpretation cycle times. His work extends to the cutting edge of the industry, demonstrating a command of Artificial Intelligence and unsupervised multi-attribute classification to solve complex subsurface challenges.
Renowned for his practical approach to clastic and carbonate depositional environments , his contributions to the field are evidenced by a proven track record of helping exploration teams identify subtle stratigraphic and fracture plays. His instruction brings 30 years of global insight into the classroom, offering participants a unique opportunity to learn from a veteran who has successfully navigated the evolution of seismic technology.
Frequently Asked Questions
All course bookings made through PEA are strictly non-refundable. By registering for a course, you acknowledge and accept that all fees are payable in full and are not subject to refund under any circumstances, including changes in personal or professional commitments or partial attendance.
PEA reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Comprehensive details of each course — including objectives, target audience, and content — are clearly outlined before enrolment, and it is the responsibility of the delegate to ensure the course's suitability prior to booking.
For any inquiries related to cancellations or bookings, please contact our support team, who will be happy to assist you.
