Machine learning has been applied in a variety of ways in a plethora of industries from healthcare to multimedia to education. This interesting information came to us from the Journal of Petroleum Technology in their article, “Machine-Learning Image Recognition Enhances Rock Classification.”
A machine learning-assisted automated image processing algorithm can improve the quality and speed in classifying the morphology of heterogeneous carbonate rock. Yes, natural energy sourcing can also benefit from emerging technologies.
Several commercial products have produced petrophysical properties from 2D images as well as 3D images. Images are mainly microcomputed tomography, optical images of thin sections, or magnetic resonance images. The most success is from homogeneous and clastic rocks.
Machine learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
