Computer Vision and GenAI Applications in Petroleum Geoscience
Computer Vision and GenAI Applications in Petroleum Geoscience
This webinar
introduces you about interesting applications of computer vision and generative
AI in this lucrative field. We will discuss how images are processed and
analyzed in computers, how object detection and segmentation work, updates on
the development of GenAI, and last but not least, how these are used in petroleum
geosciences. We will go through a case study of sandstone mineral segmentation
to prepare for the next course series in September where you will do more
practical hands-on with Python.
This webinar
introduces you about interesting applications of computer vision and generative
AI in this lucrative field. We will discuss how images are processed and
analyzed in computers, how object detection and segmentation work, updates on
the development of GenAI, and last but not least, how these are used in petroleum
geosciences. We will go through a case study of sandstone mineral segmentation
to prepare for the next course series in September where you will do more
practical hands-on with Python.
Webinar Objectives
Introduction to image processing: How computers see images?
Traditional image analysis
Computer vision methods: object detection and segmentation
Development of new era: GenAI image generation
Application of computer vision and GenAI in petroleum geosciences
Case study: Segmentation of mineral in thin slice of sandstone
About the Presenter
Yohanes Nuwara (Researcher at Politecnico di Milano)
He is the visionary founder behind an innovative AI consulting firm based in Milan, revolutionizing the way businesses harness the power of AI and computer vision. He had worked in Asia Pulp and Paper for 2 years as an Expert Data Scientist (Computer Vision) at Asia Pulp and Paper in Jakarta, Indonesia, one of the largest pulp and paper manufacturing companies. He developed computer vision models for tree counting and LiDAR mostly in Python and open-source Geographic Information System (GIS) tools such as QGIS.
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Time : 5 Pm Indian Time | Duration : 90 Minutes
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