Presentation is loading. Please wait.

Presentation is loading. Please wait.

Figures Cluster World Oct OpendTect article

Similar presentations

Presentation on theme: "Figures Cluster World Oct OpendTect article"— Presentation transcript:

1 Figures Cluster World Oct. 2004 OpendTect article
For optimal printing quality do not copy Figures 3, 4 and 6a, 6b and 6c from this Powerpoint file. Instead use original tif images! The OpendTect logo is delivered in EPS format. Contact for other formats and/or questions.

2 Figure 1. Open Source model.
Third Party dGB-Group Ownership, M&S Responsibility License and M&S fees Waived fees (dGB plugins) Commercial Users Academic Users Commercial Plug-ins Base Free Plug-ins Figure 1. Open Source model.

3 Figure 2. OpendTect impression.

4 Figure 3. Geometrically consistent tracking of horizons and faults.

5 Input Attributes: Meta-Attribute ANN
O 1 Energy Input Attributes: Energy, Frequency, Cube Similarity Continuity, Dip Var., Azimuth Var., Absorption, Curvature, .. Interpreter’s Knowledge Meta-Attribute ANN Figure 4. “Meta-attribute” concept. Multiple attributes and interpreter’s knowledge are combined by a neural network to give the optimal view of the object of interest. In this case a salt dome.

6 Object detection Inversion Filtering Pattern recognition Rock
Chimneys & dGB plugins Salt … and turbidites, 4D bodies, …. Faults Object detection Rock properties Inversion Before After dip-steered median filter Filtering Facies / Channels Pattern recognition Figure 5. Application examples of dip-steering and neural network plugins to OpendTect.

7 a b c Figure 6. Generating TheChimneyCube®: a) Picked examples b) neural network performance graphs (RMS error vs. training cycles, percentage mis-classification and input attributes colored to indicate relative importance, with red being most important) and c) overlay of chimney “probability” on seismic data.

Download ppt "Figures Cluster World Oct OpendTect article"

Similar presentations

Ads by Google