Cross-plot tool enables you to create attribute vs attribute, attributes vs well-logs and well-logs vs well-logs cross-plot. The cross-plot includes many useful functionalities that are very important in seismic data analysis and seismic prediction. The presentation will guide you in steps that how to work with this tool. Moreover, a few general workflows are also presented at the end of the presentation. Download PDF
Stratal Slicing Horizon based attribute analysis can reveal sedimentary and structural features, but is limited by the number of tracked horizons. Stratal slicing enables you to quickly analyze all available data, increasing the probability to reveal sedimentary structures.
Creating a good Steering Cube How to make and use different SteeringCubes and what is the difference between 'Background' and 'Detailed' SteeringCubes.
Apparent dip uses dip-steering plugin to visualize the dip in auser-defined azimuth direction. Download PDF
Fault Enhancement Filtering OpendTect has excellent filtering capabilities for general data enhancement or highlighting specific features in the data. The attribute engine contains many pre-defined filters for example the Laplace Filter and Ridge Enhancement Filter (present as a default attribute set). In addition to this the user can develop many custom filters by combining attributes such as the Position, Volume Statistics, Reference Shift and Mathematics attribute. This presentations describes how to make such a custom made filter that alters the seismic volume to enhance fault visibility.
Faults and Fracture detection Describing various techniques such as attributes, filters, neural networks, Spectral Decomposition, Spectral Blueing, and azimuthal AVA for detecting and analyzing faults and fractures.
Spectral Decomposition Explaining the use of Spectral Decomposition in OpendTect, the difference between FFT (Fourier Transform) and CWT (Continuous Wavelet Transform), the workflow and latest technical updates of the tool.
Prospect Risk Assessment Using Chimney Technology Explaining the use of ChimneyCube results, generated in OpendTect, for prospect ranking, including chimney classification and related trap types.