3D Seismic Attributes for Prospect Identification and Reservoir Characterization
| Start Date | End Date | Venue | Fees (US $) | ||
|---|---|---|---|---|---|
| 3D Seismic Attributes for Prospect Identification and Reservoir Characterization | 29 Mar 2026 | 02 Apr 2026 | Dubai, UAE | $ 3,900 | Register |
| 3D Seismic Attributes for Prospect Identification and Reservoir Characterization | 19 Jul 2026 | 23 Jul 2026 | Istanbul, Turkey | $ 4,500 | Register |
| 3D Seismic Attributes for Prospect Identification and Reservoir Characterization | 06 Dec 2026 | 10 Dec 2026 | Abha, KSA | $ 4,500 | Register |
3D Seismic Attributes for Prospect Identification and Reservoir Characterization
| Start Date | End Date | Venue | Fees (US $) | |
|---|---|---|---|---|
| 3D Seismic Attributes for Prospect Identification and Reservoir Characterization | 29 Mar 2026 | 02 Apr 2026 | Dubai, UAE | $ 3,900 |
| 3D Seismic Attributes for Prospect Identification and Reservoir Characterization | 19 Jul 2026 | 23 Jul 2026 | Istanbul, Turkey | $ 4,500 |
| 3D Seismic Attributes for Prospect Identification and Reservoir Characterization | 06 Dec 2026 | 10 Dec 2026 | Abha, KSA | $ 4,500 |
Introduction
A seismic attribute is any measure of seismic data that helps us better visualize or quantify features of interpretation interest. Seismic attributes fall into two broad categories – those that help us quantify the morphological component of seismic data and those that help us quantify the reflectivity component of seismic data.
The morphological attributes help us extract information on reflector dip, azimuth, and terminations, which can, in turn, be related to faults, channels, fractures, diapirs, and carbonate buildups. The reflectivity attributes help us extract information on reflector amplitude, waveform, and variation with illumination angle, which can, in turn, be related to lithology, reservoir thickness, and the presence of hydrocarbons. In the reconnaissance mode, 3D seismic attributes help us to rapidly identify structural features and depositional environments. In the reservoir characterization model, 3D seismic attributes are calibrated against real and simulated well data to identify hydrocarbon accumulations and reservoir compartmentalization.
In this course, we will gain an intuitive understanding of the kinds of seismic features that can be identified by 3D seismic attributes, the sensitivity of seismic attributes to seismic acquisition and processing, and of how ‘independent’ seismic attributes are coupled through geology. We will also discuss alternative workflows using seismic attributes for reservoir characterization as implemented by modern commercial software and practiced by interpretation service companies. Participants are invited to bring case studies from their workplace that demonstrate either the success or failure of seismic attributes to stimulate class discussion.
Objectives
You, Will Learn How To:
Use attributes to enhance subtle faults and folds, as lithologic indicators, and quality control the choice of processing parameters. Evaluate and exploit attribute expressions for different depositional environments to better characterize reservoirs by adopting appropriate workflows and multiattribute tools. Identify geological features highlighted by attributes, limitations to seismic processing through attributes that may result in smeared attribute images from multi azimuth and multi offset data, limits of attribute analysis on data that have been poorly
Training Methodology
The training methodology is interactive with group exercises and is suitable for all employees involved in functions management. The pace and level of the training workshop are customized to the understanding of the delegates. Ongoing back-up and support are available after the training on request to the supplier, and the training course is also available for in-house presentation as well as for “Competency Transfer”.
Who Should Attend?
Seismic interpreters, processors, stratigraphers and structural geologists, reservoir engineers, and students of geophysics
Course Outline
- Color display and 3D visualization
- Types of attributes
- Spectral decomposition and thin bed tuning
- Complex trace attributes
- Horizon and formation attributes
- Geometric attributes
- Edge preserving smoothing
- Inversion for acoustic impedance
- Multiattribute workflows for reservoir characterization
- 3D texture analysis and object detection
- Impact of seismic data quality on seismic attributes
- Introduction of various algorithms for attribute computation, their limitations and performance strengths
- Attribute expression of structure and stratigraphy in terms of tectonics and diapirism, clastic and carbonate depositional systems and geologic hazards
- Multiattribute analysis tools
- Reservoir characterization workflows
- Physical demonstration of attributes on real seismic data

