Patent ID: 11921256
Assignee: CHEVRON U.S.A. INC.
Field: Computer technology (Electrical engineering)
Classification: CPC E  G | IPC G

Claim 0:
1. A system for reservoir modeling, the system comprising:
one or more physical processors configured by machine-readable instructions to:
obtain reservoir equation information defining a set of physical equations for a reservoir including multiple wells, the multiple wells including a first well and a second well, the set of physical equations defining physics of the reservoir, the set of physical equations including one or more first physical equations for the first well and one or more second physical equations for the second well;
obtain measurement information for the reservoir, the measurement information characterizing measured characteristics of the reservoir;
model the set of physical equations for the reservoir as a neural network, the neural network including individual nodes for individual wells in the reservoir, the neural network including a first node for the first well and a second node for the second well, the first node including the one or more first physical equations for the first well and the second node including the one or more second physical equations for the second well, wherein traversal of the nodes of the neural network collapses the one or more first physical equations for the first well included in the first node and the one or more second physical equations for the second well included in the second node into a differential equation network that represents the reservoir; and
prepare the neural network based on the measured characteristics of the reservoir, the prepared neural network facilitating modeling of characteristics of the reservoir that is constrained by the physics of the reservoir.