By: Iván Marroquín, Ph.D. – Senior Research Geophysicist I am very excited to participate as a speaker in the workshop on Big Data and Machine Learning organized by European Association of Geoscientists & Engineers. My presentation is about using machine...
By: Ivan Marroquin, Ph.D. – Senior Research Geophysicist In machine learning, there is a very interesting challenge in comparing the quality of the classification result generated by either unsupervised or supervised classifiers. Most of the time, we opt for one...
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....
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....
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 –...
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...
