公开(公告)号：US20230297742A1

公开(公告)日：2023-09-21

申请号：US17699395

申请日：2022-03-21

申请人： C3.ai, Inc.

发明人： Philippe Ivan S. Wellens ,  Amir Hossein Delgoshaie

IPC分类号： G06F30/27

CPC分类号： G06F30/27

摘要： A simulation method includes providing a physics-based simulation model including model parameters for simulating a physical process using input data from different sources of operational data including time series data, the physics-based simulation model generating output data including simulated predictions that are calculated using the model parameters, an artificial intelligence (AI)-based-system including an AI-based proxy model. The AI-based proxy model responsive to receiving an update of the input data processes the updated input data to generate a proxy prediction for at least one selected prediction from the simulated predictions or a variable derived from the simulated prediction as a replacement for or as a supplement to the selected prediction or the variable derived from the selected prediction.

公开(公告)号：US12078061B2

公开(公告)日：2024-09-03

申请号：US17381420

申请日：2021-07-21

申请人： C3.ai, Inc.

发明人： Amir Hossein Delgoshaie ,  Mehdi Maasoumy Haghighi ,  Riyad Sabir Muradov ,  Sina Khoshfetratpakazad ,  Henrik Ohlsson ,  Philippe Ivan S. Wellens

IPC分类号： E21B49/00 ,  E21B43/20 ,  G06V10/84

CPC分类号： E21B49/008 ,  E21B43/20 ,  E21B2200/20 ,  E21B2200/22 ,  G01V2210/663 ,  G06V10/84

摘要： A method of waterflood management for reservoir(s) having production hydrocarbon-containing well(s) including injector well(s). A reservoir model has model parameters in a mathematical relationship relating a water injection rate to a total production rate of the production well including at least one of a hydrocarbon production rate and water production rate. A solver implements automatic differentiation utilizing training data regarding the reservoir including operational data that includes recent sensor and/or historical data for the water injection rate and the hydrocarbon production rate, and constraints for the model parameters. The solver solves the reservoir model to identify values or value distributions for the model parameters to provide a trained reservoir model. The trained reservoir model uses water injection schedule(s) for the injector well to generate predictions for the total production rate.

公开(公告)号：US20220025765A1

公开(公告)日：2022-01-27

申请号：US17381420

申请日：2021-07-21

申请人： C3.ai, Inc.

发明人： Amir Hossein Delgoshaie ,  Mehdi Maasoumy Haghighi ,  Riyad Sabir Muradov ,  Sina Khoshfetratpakazad ,  Henrik Ohlsson ,  Philippe Ivan S. Wellens

IPC分类号： E21B49/00 ,  E21B43/20

摘要： A method of waterflood management for reservoir(s) having production hydrocarbon-containing well(s) including injector well(s). A reservoir model has model parameters in a mathematical relationship relating a water injection rate to a total production rate of the production well including at least one of a hydrocarbon production rate and water production rate. A solver implements automatic differentiation utilizing training data regarding the reservoir including operational data that includes recent sensor and/or historical data for the water injection rate and the hydrocarbon production rate, and constraints for the model parameters. The solver solves the reservoir model to identify values or value distributions for the model parameters to provide a trained reservoir model. The trained reservoir model uses water injection schedule(s) for the injector well to generate predictions for the total production rate.