NEURAL NETWORK PREDICTIONS OF FLUID FLOW IN POROUS MEDIA

Systems and methods for predicting fluid flow of porous media are provided. In implementations, a method includes: accessing, by a computing device, a capillary network representation of a porous medium sample; generating, by the computing device, a set of simplified network representations from the...

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Bibliographic Details
Main Authors Neumann Barros Ferreira, Rodrigo, Giro, Ronaldo, Steiner, Mathias B, Tirapu Azpiroz, Jaione
Format Patent
LanguageEnglish
Published 05.10.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Systems and methods for predicting fluid flow of porous media are provided. In implementations, a method includes: accessing, by a computing device, a capillary network representation of a porous medium sample; generating, by the computing device, a set of simplified network representations from the capillary network representation; determining, by the computing device, simulated fluid flow properties of each of the simplified network representations using a simulator to perform fluid flow simulations; and training, by the computing device, a neural network (NN) model utilizing the set of simplified network representations as inputs and the simulated fluid flow properties as model targets, thereby generating a trained NN model for predicting fluid flow properties of the porous medium.
Bibliography:Application Number: US202217708319