Gaining an intuitive grasp of the types of seismic features that can be identified by 3D seismic attributes, the sensitivity of seismic attributes to seismic acquisition and processing, and the ways in which seemingly "independent" seismic attributes can be coupled through geology are the main goals of this course. We will also talk about alternate processes that use seismic features for reservoir characterization. These workflows are carried out by interpretation service providers and are built using contemporary commercial software. The workshop will primarily focus on participant discussion around case studies, attribute recipes for specific aims, reservoir procedures, and seismic attribute jeopardy exercises.

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 multiazimuth and multioffset data, limits of attribute analysis on data that have been poorly imaged and good and bad color display practices

Who Should Attend?

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

Course Outlines:

Types of attributes
Impact of seismic data quality on seismic attributes
Methods for preconditioning of seismic data
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

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