Paradise 3.3 Press Release – Deep Learning Fault Detection and Seismic Facies Classification

For Immediate Release Media

Geophysical Insights Launches Paradise 3.3, adding Deep Learning (DL) Fault Detection and Deep Learning (DL) Seismic Facies Classification


Houston, 20 February 2020 – Geophysical Insights announces the launch of Paradise version 3.3, adding the Deep Learning (DL) Fault Detection application and Deep Learning (DL) Seismic Facies Identification tool to the Paradise® AI workbench. Paradise is a multi-attribute seismic analysis workbench that uses machine learning to extract more information from both seismic and well data.

The new DL Fault Detection application is equipped with general pre-trained deep learning engines (models), enabling their application to a wide range of seismic data without the need of user-provided fault examples for training. Using Graphics Processing Unit (GPU) technology, the tool dramatically reduces the time to identify faults in a volume.

Also running on GPU technology, the new DL Seismic Facies Classification application identifies structural and stratigraphic facies patterns using deep learning technology. This new classification tool finds patterns that have been selected by the human interpreter, identifying similar features throughout the area of interest or in entirely different data sets. Using the new DL Seismic Facies Classification tool, interpreters work faster and with greater precision of results.

Paradise amplifies the skills of geoscientists, enabling every interpreter to apply AI tools through guided ThoughtFlows®., which are proving to yield greater insights in data faster.  “Paradise 3.3 represents our aggressive development roadmap that is driving the continued expansion of the Paradise AI workbench for seismic interpretation, says Dr. Tom Smith, President and CEO of Geophysical Insights.  “We have maintained for years that more can be gained from seismic data when it is analyzed using machine learning technology at single sample resolution, and there is now an abundance of evidence to support this observation.  We will continue to introduce off-the-shelf, fit-for-purpose applications to Paradise that have a strong return-on-investment for our customers.”

Paradise 3.3 also introduces PSLi, an interactive tool that facilitates writing scripts in the Paradise Scripting Language (PSL). The Paradise® Scripting Language (PSL) is a powerful procedural language for geographical signal and neural network analysis.  PSLi makes PSL more accessible through an easy-to-use graphical user interface (GUI), enabling geoscientists to build their own applications to run in Paradise.


About Geophysical Insights

Geophysical Insights was founded in 2008 by Dr. Tom Smith with the vision of applying machine learning methods to geologic interpretation to reduce the risk of exploration and the cost of field development.  The mission of the business is to develop the next generation of interpretation tools in an intuitive interface that uses guided ThoughtFlows®, which can be used by all interpreters.  Over three years in development, Paradise was released at the Society of Exploration Geophysicists (SEG) Annual Convention in 2013 and has been adopted by the International Oil Companies (IOCs) and National Oil Companies (NOCs) and worldwide since its launch. Geophysical Insights continues to build machine learning capabilities in the Paradise workbench, which is proving to reveal deeper insights into the seismic response. Built for large sets of data, Paradise is a ‘Big Data’ solution that easily scales from a single workstation to an enterprise. With adaptive algorithms that learn from the data that are enabled by high-performance computing, interpreters can extract more information from seismic and well data than would otherwise be possible from traditional interpretation tools.


Media Contact:

Hal Green

Geophysical Insights


[email protected]

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