Month: October 2015

Extracting features from seismic

So far we have used our TERR engine to calculate on existing subsurface geometries; in this post, we will use it to actually generate new geometries to the scene. In particular, we are going to extract ‘features’ from seismic data and return as a point set data table. This point set data table can be visualized alongside seismic, well paths, and horizons in the 3D Subsurface Visualization.

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You’ll conquer the present suspiciously fast if you smell of the future….and stink of the past.

Seismic interpretation in Spotfire: a high pass filter

Being able to bring seismic data into Spotfire and visualize it is powerful from a co-visualization standpoint, but now we are going to take a step further. In this post, we are actually going to run a simple interpretation on the seismic by building a high pass filter. Because R supports many different types of image and time-series analyses and transformations, there are numerous types of interpretations you’ll be able to implement in Spotfire. Further, because Spotfire supports a flexible data model, these calculations on seismic can take other ad-hoc data like wellbore trajectories, drilling data, and productivity statistics in order to enrich the analyses.

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You’ll conquer the present suspiciously fast if you smell of the future….and stink of the past.

Loading and representing seismic data in Spotfire

Out of the box, Spotfire does not naturally load or represent seismic data. In this post, we will cover how we have extended the Spotfire platform with the Segy data source (available as part of the 3D Subsurface Visualization) which allows the loading, representation and visualization of seismic data in Spotfire.

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You’ll conquer the present suspiciously fast if you smell of the future….and stink of the past.

Visualizing seismic slices in the heatmap

In this post, we will extract the seismic binary data into a vanilla Spotfire table which we can visualize using a heatmap.  In the next post, we will actually do some interpretation on the seismic, but for now we wanted to show how you can manipulate seismic data in TERR.  We will add some dynamic interaction so the user can select different cross line or inline indices to extract and view in a heatmap.  Once the data is extracted and visualized, we can color it, mark it, and build histograms with it.  Ok let’s get started.

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You’ll conquer the present suspiciously fast if you smell of the future….and stink of the past.