MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621036203 A) filed by Niranjan Bilgi, Maharashtra, on March 25, for 'system and method for hyperspectral spectral-spatial fusion based reservoir characterization and hydrocarbon detection using transformer-driven spectral encoding.'
Inventor(s) include Niranjan Bilgi.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "System and Method for Hyperspectral Spectral-Spatial Fusion Based Reservoir Characterization and Hydrocarbon Detection Using Transformer-Driven Spectral Encoding. The present invention relates generally to subsurface geological analysis and reservoir characterization. More particularly, the invention relates to a system and method for analyzing hyperspectral imaging data of geological core samples using artificial intelligence models including transformer-based spectral encoders and convolutional neural networks, for detecting hydrocarbons, predicting reservoir quality, and generating reservoir engineering decisions including enhanced oil recovery (EOR) suitability, fracturing suitability, and autonomous plug selection. The invention further relates to integration of hyperspectral imaging, spectral physics analysis, machine learning models, and reservoir data including logs and production data to produce automated decision outputs."
Disclaimer: Curated by HT Syndication.
