3D Seismic Attributes for Prospect Identification and Reservoir Characterization Course

Course Overview:

This course highlights the use of seismic attributes for detailed interpretation and characterization of reservoirs. There will be emphasis on efficient interpretation techniques through the use of acoustic attributes, such as identification of small faults, folds and lithologic distribution, as well as preparation of processing parameters. The Doppler’s effect, 3D visualization, spectral decomposition, geometric attributes, acoustic impedance inversion and multiattribute work flow are also discussed in the course. It also includes estimation of the quality of seismic data for analysis of specific attributes, and review of algorithms for the computation of attributes. At the end of the course, students shall be able to conduct reservoir characterization work flows with the aid of seismic and non-seismic attribute analysis for improved exploration and development.

Course 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

Who Should Attend?

Seismic interpreters, processors, stratigraphers and structural geologists, reservoir engineers, and students of geophysics

Course Outlines:

• 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