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Case Study: Abu Dhabi National Oil Company (ADNOC) achieves faster, more accurate rock analysis with IBM Watson
A IBM Case Study
ADNOC - Customer Case Study
Abu Dhabi National Oil Company (ADNOC) needed a faster, more consistent way to analyze and categorize rock samples used in reservoir modeling, since the traditional petrography process was slow, labor-intensive, and dependent on scarce expert knowledge. ADNOC partnered with IBM and used IBM Watson Visual Recognition to help preserve geologists’ expertise while improving the speed and accuracy of rock analysis.
IBM worked with ADNOC to train the Watson solution on 2D rock images, combining AI-driven image recognition and related techniques to automate thin-section classification. The result was a major boost in performance: IBM Watson can analyze 527 images per second, allowing ADNOC to process a reservoir’s samples in minutes instead of months, while improving consistency, expanding the volume of data analyzed, and supporting better subsurface models and investment decisions.
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Abu Dhabi National Oil Company (ADNOC)
Douglas Boyd
Technical Center Petrophysicist