Machine learning enabled water flooding optimization
AssigneeSchlumberger Technology Corporation
InventorsArvind SHARMA, Shashin SHARAN, Jing WU
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Abstract
The disclosed methods and systems are directed to water flooding optimizations at a resource site for increased production of hydrocarbons. According to some implementations, the methods include receiving at least one of: fluid production rate data and fluid injection rate data using one or more sensors at a resource site. The methods may also include generating a forecasting model based on one or more of the fluid production rate data and the fluid injection rate data. The disclosed methods further comprise executing, using the forecasting model, one or more sensitivity tests to generate a production forecast report.
Claims20
A method for water flooding optimization at a resource site for increased production of hydrocarbons, the method comprising:
- determining a geo-radius circumscribing a first injector and a first producer at a resource site;
- receiving fluid production rate data from the first producer and fluid injection rate data from the first injector;
- correlating the fluid production rate data with the fluid injection rate data to determine a correlated pair of injectors and producers associated with the first injector and the second injector;
- generating a forecasting model using the correlated pair of injectors and producers, the forecasting model being parameterized using one or more of:
- a first variable indicating a first range of fluid production rate values, and
- a second variable indicating a second range of fluid injection rate values;
- executing, based on the forecasting model, one or more sensitivity tests comprising at least one simulation based on the first variable or the second variable to generate a production forecast report for the first producer;
- and
- executing one or more of:
- initiating generation of a visualization indicating the production forecast report for viewing on a display device, or
- initiating transmission of a pump rate control signal to configure a pump mechanism disposed about the first producer or the first injector at the resource site.
A system for water flooding optimization at a resource site for increased production of hydrocarbons, the system comprising:
- a computer processor, and
- memory storing instructions that are executable by the computer processor to:
- determine a geo-radius circumscribing a first injector and a first producer at a resource site;
- receive fluid production rate data from the first producer and fluid injection rate data from the first injector;
- correlate the fluid production rate data with the fluid injection rate data to determine a correlated pair of injectors and producers associated with the first injector and the first producer;
- generate a forecasting model using the correlated pairs of injectors and producers, the forecasting model being parameterized using one or more of:
- a first variable indicating a first range of fluid production rate values, and
- a second variable indicating a second range of fluid injection rate values;
- execute using the forecasting model, one or more sensitivity tests comprising at least one simulation based on the first variable or the second variable to generate a production forecast report for the first producer;
- and
- execute one or more of:
- initiating generation of a visualization indicating the production forecast report for viewing on a display device, or
- initiating transmission of a pump rate control signal to configure a pump mechanism disposed about the first producer or the first injector at the resource site.
A method for water flooding optimization at a resource site for increased production of hydrocarbons, the method comprising:
- determining a geo-radius circumscribing one or more injectors and one or more producers at a resource site;
- receiving:
- fluid production rate data obtained from one or more sensors disposed about the one or more producers at the resource site, and
- fluid injection rate data obtained from one or more sensors disposed about the one or more injectors at the resource site;
- correlating the fluid production rate data with the fluid injection rate data to determine correlated pairs of injectors and producers associated with the one or more injectors and the one or more producers, the correlated pairs of injectors and producers indicating a relationship between a first injector comprised in the one or more injectors and a first producer comprised in the one or more producers;
- generating a forecasting model using the correlated pairs of injectors and producers, the forecasting model being parameterized using one or more of:
- a first variable indicating a first range of fluid production rate values, and
- a second variable indicating a second range of fluid injection rate values;
- executing using the forecasting model, one or more sensitivity tests comprising at least one simulation based on the first variable or the second variable to generate a production forecast report for the first producer;
- and
- executing one or more of:
- initiating generation of a visualization indicating the production forecast report for viewing on a display device, or
- initiating transmission of a pump rate control signal to configure a pump mechanism disposed about the first producer or the first injector at the resource site.
Dependencies are inferred from the claim text.