Category: Seismic Series

Including Point Sets in 3D Subsurface Visualization

A point is a spot in space. In the world of geologic mapping, or mapping in general, it is represented by co-ordinates: X, Y on a plane; and X, Y, Z in 3-dimensions.

Using 3D Subsurface Visualization, it is easy to identify/add a point in a spatial environment for reservoir management or geologic applications – marking a pick location of interest. A point can be marked along a wellbore, on a surface, in a seismic imagery, or in an empty space. What defines the positioning of a point is its X, Y, Z co-ordinates.

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Including Formation Tops in Well Log Visualization

It is quite easy to include formation tops in the Well Log Visualization. The neatest way to do that is to have a data table that contains the formation top depth for each well contained in the data table that has the well log data. In its most basic form, the formation tops data table should contain at least 3 columns: Formation Name, Top Depth and Well Name. Here is a video of how to add formation tops to Well Log Visualization:

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One-Stop Tool for Viewing Subsurface and Well Trajectories in 3D

If you are a petroleum engineer and you have Spotfire installed on your computer, you’re further ahead than you realize. Sound strange? Here’s the hint:

Spotfire can be your tool for:

  • visualizing and analyzing 3D subsurface map and
  • diagramming well trajectory

And you can do all that in one environment.

Now, I’m guessing you thought that those analyses could only be done with some high-end expensive software from say Schlumberger, Halliburton, IHS, or Baker Hughes; not anymore.

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Creating well paths from control points

Well paths encode the trajectory and curvature of a wellbore – oftentimes tailored to avoid drilling hazards, improve productivity and reservoir contact, and reduce costs of drilling. There are consequently many factors that go into creating an ideal or optimized well path that reflect play characteristics, technology improvements, regional drilling environments and historical drilling performance. While there are many tools that provide functionality for designing wellbores, none have the ability to adapt to the drilling landscape and capture the historical performance statistics for a vendor or company. Enter Spotfire and its ad-hoc data and compute model.

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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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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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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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