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As geoscientists, we are expected to provide an interpretation
and reliable prediction to inform confident decision making. The
workflow that leads to a reliable prediction begins with reliable
data. Analytics has been employed in the oil and gas industry for
decades to enhance the analysis of data. The technology available
to generate analytics has improved tremendously over time.
To perform meaningful analytics on your data, you must begin
with a comprehensive normalized data set which can take days or
weeks. Using an analytics engine to run quality control on your
data can lead you to the identification of data outliers and
inconsistencies quickly. Kingdom Analytics Explorer™ for
Spotfire allows the import of data into Spotfire more efficiently.
Once data is in Spotfire you can run quality control, visualize and
analyze your data in a multitude of ways.
What if you could discover a new relationship in your data that
unlocked more potential in your field?
Generating seismic attributes is one of the strengths of Kingdom
Geophysics. One way to leverage these attributes is to run
analytics on them. See Figure 1.
Figure 1: Seismic attributes
generated in Kingdom
Kingdom Analytics Explorer allows us to run a variety of
clustering methods. In order to do so, we must first extract the
seismic attributes to grids then open them in Spotfire. A series of
properties and methodology must be defined for the clustering. In
this case, we selected hierarchical clustering. When the clustering
is complete, we can instantly see the channel clearly and other
seismic features of importance. See Figure 2.
Figure 2: Facies
Classification using Kingdom Analytics Explorer for
Spotfire
We can work to refine the number of classifications for the
analysis to result in the desired number of facies for our
analysis. We eliminate all of the geometrical attributes and we
only leave the amplitude attributes. That way we can better define
the channel, and start to see some of the patterns that can give us
better insight into the relationship between seismic attributes and
facies. Each facies class will be assigned a number. The final
classification can be saved to as a control point.
Once the control point set is in Kingdom you can generate a grid
using the control point set as the input. See Figure 3.
Figure 3: Facies Grid based on
newly generated facies classification
The newly created facies grid can be tied to your well data
which will allow you to gain more in-depth knowledge of facies
distribution throughout your reservoir. This enhanced knowledge can
help you enhance your interpretation, plan your next well, and
allow you to exploit your field more efficiently.
Figure 1: Seismic attributes
generated in Kingdom
Figure 2: Facies
Classification using Kingdom Analytics Explorer for
Spotfire
Figure 3: Facies Grid based on
newly generated facies classification
