Schlumberger technology corporation (20250111191). NEURAL NETWORK MACHINE LEARNING MODEL
NEURAL NETWORK MACHINE LEARNING MODEL
Organization Name
schlumberger technology corporation
Inventor(s)
John Godlewski of Menlo Park CA US
NEURAL NETWORK MACHINE LEARNING MODEL
This abstract first appeared for US patent application 20250111191 titled 'NEURAL NETWORK MACHINE LEARNING MODEL
Original Abstract Submitted
certain aspects provide a method for assigning a plurality of physical properties in space and time of a target underground region to a plurality of structural nodes defined for a first layer of a graph neural network machine learning model; constructing a regular grid from the plurality of structural nodes; generating, by a neural operator layer of the graph neural network machine learning model and using a fast fourier transform, a neural operator output; projecting, by the neural operator layer via an inverse fast fourier transform, the neural operator output onto the regular grid to generate an inverse grid; and generating a prediction from a second layer of the graph neural network machine learning model.