Ruths.ai has developed an easy-to-use well logging tool that enables the digital diagramming of log curves and tracks within Spotfire:
Called the Well Log Visualization, the plug-in extends the capability of Spotfire whilst leveraging its features. The “extension” when installed on a Spotfire deployment is available as an item in the Spotfire menu and can be dropped in the Spotfire workspace like any other visualization.
Well Log Visualization icon in Spotfire menu bar
The Well Log Visualization, like any Spotfire visualization, is driven by data. At its simplest, the data table should have depth, curve data (name(s) and values), and better still well name. More detail might include formation tops and bottoms.
Typically, a Well logs is a visual showing readable
points on curves set on tracks along wellbore depths. The figure below shows a sample well log:
In this blog, I will show how Ruths.ai Well Log Visualization has satisfied the requirements of well log diagramming by demonstrating how
- to include depth lines,
- place one/more tracks,
- draw one/more curves,
- read with accuracy points on the tracks in Well Log Visualization space
I will also establish that the Ruths.ai Well Log Visualization behaves like all other traditional Spotfire visualizations by showing its response to marking and filtering – a powerful feature that allows for interactivity with a multiplicity of data.
So let’s get started.
Consider the following data table:
First, let’s drop the RAI Well Log Visualization in the Spotfire workspace.
When the Well Log visualization is set in the workspace, the visualization space is empty except for the directional, zooming and configuration tools at the top-right corner. To structure the visualization for log display, the tool of importance is the configuration tool which is used to setup the visualization properties
Well Log visualization properties are grouped into:
- General – title and description of the visualization instance
- Data – Setup of data table, marking and data limiting.
Curve Data – designating the depth column and selecting trellis. With reference to the table above, the depth column is Depth (ft). Setting “Trellis by” to Well Name allows the Well Log Visualization to group the log display per well. This is meaningful in the sense that well logs are drawn per well.
Appearance – set up font face, font size, plot margin, line properties and ball size. The font setting are applied to text; plot margin sets the spacing between the plot and the left margin of the visualization space; line width, line color and ball size set properties for the focus object used when reading values on the log
Layers – there are basically two (2) types of configuration objects that can be laid on a Well Log Visualization space: track and curve.
Tracks – rectangular blocks on which curves are plotted. There can be many tracks in a Well Log Visualization, and a track can have multiple curves. A track is added to the well log visualization by clicking on the on the button. Track settings include title, width, scale type and number of children. The scale type can either be linear or logarithmic
Number of children point to the number of curves laid on the track. Selecting a track and clicking removes the rack and all its children object from the visualization. In this demonstration, we will use 3 tracks.
Curves – plotted values of a log measurement. In the above data table, the measurements include Gamma Ray (GR), Bulk Density (RHOB), Neutron (NPHI) and Sonic (DT). We will plot Gamma Ray in one track, Bulk Density and Neutron Porosity together in a second track, and Sonic in a third track. We will give different colors to each curve and color-fill the track section to left of the sonic curve with yellow. Below are our configuration screens:
GR – Configuration Screen
Neutron (NPHI) Lines Screen
Sonic (DT) Fill Screen
The well log display is as follows:
Notice the teal-colored line running across the tracks from left to right? This is the focus object mentioned in the Appearance section above. The line defines the position of the mouse focus on the visualization. The balls represent the point where the mouse focus line touches each curve. The exact reading of each curve at the focus ball is shown at the header section of the curve, and the depth reading is at left as shown in the figure below:
These basic settings are all you need to create and read a well log with the Ruths.ai Well Log Visualization! That easy.
I have compared the Ruths.ai Well Log Visualization to a number of widely accepted well log diagramming tools in the industry today and have found hardly anything that comes close in simplicity, ease-of-use and ability to integrate with diverse data systems.
Theodore Etukuyo holds a Bachelor’s Degree in Mathematics and an Associate Degree in Petroleum Engineering Technology.