Interpretion, Attributes, and Machine Learning
Seismic Attributes for the Environment of Deposition
a Video Course
Instructors: Dr. Kurt Marfurt, Rocky Roden, Dr. ChingWen Chen
The evaluation of seismic attributes is a powerful tool in the interpretation of different geologic environments of deposition. Seismic attributes, specifically geometric and spectral decomposition attributes, provide a framework for interpreting geologic features that define depositional environments. This video course identifies the appropriate seismic attributes for various geologic settings and describes how these attributes are applied. Lecture and demonstrations cover the use of attributes in interpretation workflows and manipulate attribute parameters to highlight geologic features. The last video segment of the course describes how sets of attributes are analyzed and classified using multi-attribute, Machine Learning processes to extract more information from the seismic response.
In this 10-part video series, leading experts demonstrate the applications of attributes. The $99 registration fee allows access to all course content - both videos and powerpoints, for 7 days. Click the link to purchase your access.
Course Learning Objectives:
- Assess the appropriate seismic attributes and associated parameters to improve images for different geologic features.
- Systematically incorporate seismic attribute evaluations in a comprehensive interpretation of the environment of deposition.
- Utilize Attribute Generator in Paradise software to generate appropriate attribute volumes.
- Conduct multi-attribute analysis via different visualization tools and machine learning techniques.
- Faulting and Folds
Architectural elements of fluvial-deltaic systems
Architectural elements of deep water systems
Shale resource drilling (“geo”) hazards
Attribute and suboptimum seismic data
Examples of Multi-attribute visualization vs. Mulit-attribute SOM