Automated tools recommender system for well completion
AssigneeSchlumberger Technology Corporation
InventorsSiraput Jongaramrungruang, John Pang, Andrey Sergeevich Konchenko, Jose R. Celaya Galvan
Life of this patent
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Abstract
The present disclosure relates to the application of machine learning algorithms to recommend one or more tools for completion of a well, based on the features of the well. Predictive models may be built with the functionality of recommending one or more tools for a particular well completion. When the predictive models recommend the use of a tool, secondary predictive models may further recommend a particular tool selected from a group of tools. The predictions may achieve a high level of accuracy, and as such, may be used to recommend tools for well completion.
Claims20
A method for completing a first well, comprising:
- obtaining, for the first well, a first plurality of features;
- determining, by applying a trained classification machine learning model to the first plurality of features, a completion requirement for completing the first well;
- and
- recommending, by applying the trained classification machine learning model to the completion requirement, a tool type.
A system comprising:
- a processor;
- memory accessible by the processor;
- and
- processor-executable instructions stored in the memory that are executable to instruct the system to:
- obtaining, for the first well, a first plurality of features;
- determining, by applying a trained classification machine learning model to the first plurality of features, a completion requirement for completing the first well;
- and
- recommending, by applying the trained classification machine learning model to the completion requirement, a tool type.
One or more computer-readable storage media comprising computer-executable instructions executable to instruct a computer to:
- obtain, for the first well, a first plurality of features;
- determine, by applying a trained classification machine learning model to the first plurality of features, a completion requirement for completing the first well;
- and
- recommend, by applying the trained classification machine learning model to the completion requirement, a tool type.
Dependencies are inferred from the claim text.