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	HorizonCube HorizonCube is an innovative step in seismic interpretation and geologic modeling. It is applicable in most of our modeling and interpretation workflows that are based on the seismic data. It is a technology that is being widely used now-a-days for low frequency model building to do deterministic seismic inversion, sequence stratigraphic interpretation together with an automated wheeler transformation, and not only these but also in reservoir modeling. If you are willing to prepare your first HorizonCube for one of these purposes and you need the step-by-step workflow/guide, then please download the following presentations. Introduction to HorizonCube. Download PDF How to create a data driven HorizonCube? Download PDF How to create a model driven HorizonCube? Download PDF What are HorizonCube tools? Download PDF
	How to Visualize in OpendTect Visualizing the results is almost as important as the results themselves, therefore OpendTect has several advanced visualization options Download Powerpoint
	How to Crossplot in OpendTect 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. Download Powerpoint
	SSIS: 2D and Multi 2D workflow Sequence stratigraphic interpretations on 2D Seismic data and 2D grids derived from 3D data (multi 2D SSIS) Download PDF
	Color stacking RGB Blending in OpendTect Download PDF
	Steering Cube Introduction to SteeringCube. Download PDF SteeringCube workflows. Download PDF
	Apparent Dip Apparent dip uses dip-steering plugin to visualize the dip in a user-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. Download PDF
	Steering Benchmark Describes the quality and speed of all the different steering algorithms, their settings and possible filter options Download PDF
	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. Download PDF
	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. Download PDF
	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. Download PDF
	Cluster Processing It is possible to use a cluster management tool (SLURM for example) for attribute processing in OpendTect. OpendTect distributes a batch process into smaller jobs (which can be submitted to a cluster management tool) and merges the outputs after processing. This feature is available to Linux users only. Download PDF