The Value of Instantaneous Attributes

The Value of Instantaneous Attributes

Self-Organizing Maps (SOM) is a relatively new approach for seismic interpretation in our industry and should not be confused with seismic inversion or rock modeling.  The descriptions below differentiate SOM, which is a statistical classifier, from seismic inversion....
Machine Learning – The Next Generation Seismic Interpretation

Machine Learning – The Next Generation Seismic Interpretation

Most people associate neural networks, big data and big number crunching as parts of a single paradigm for access to web information. Articulate a query and wait for a list of answers. But in the oil and gas exploration and reservoir replacement business –...
Machine Learning and Truck Driving

Machine Learning and Truck Driving

Every day, 2.5 quintillion bytes of data get created and in the last two years, 90% of the world’s data was generated. So much information is available to us and permeates every single area of our life. Our work heavily relies on finding insights from the deluge...

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