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US 12,736,981 B2Granted
Method and apparatus to perform downhole computing for autonomous downhole measurement and navigation
OwnerTianxiang Su, Suraj Kiran Raman +3inventors
InventorsTianxiang Su, Suraj Kiran Raman, Muhannad Abdelaziz Abuhaikal, Andriy Gelman, Farshid Mostowfi
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Abstract
Embodiments presented provide for an apparatus used for wellbore intervention, evaluation and stimulation. The apparatus provides a tractor mechanism, a power supply, tools and sensors used in evaluation and stimulation activities with hydrocarbon recovery operations.
Claims18
A downhole robot for intervention, evaluation, or stimulation, comprising:
- a driving mechanism;
- a power supply operatively connected to the driving mechanism;
- a plurality of sensors operatively connected to the power supply;
- a trained model for autonomous operation of the downhole robot, the trained model being generated by training the downhole robot to perform operations in a downhole environment, the training comprising generating the trained model using a simulated downhole environment, and the training being performed prior to deployment of the downhole robot;
- a compute engine disposed within the downhole robot and operatively connected to the power supply, the compute engine being configured to:
- handle processing and computations on-board the downhole robot;
- receive at least one wellbore characteristic from the plurality of sensors;
- use the trained model for autonomous operation of the downhole robot;
- plan one or more actions of the downhole robot based on the trained model;
- and
- cause autonomous execution of the one or more planned actions by the downhole robot in the downhole environment;
- and
- at least one interface configured to transfer data to and from the compute engine.
10 more elements
A method, comprising:
- training an autonomous vehicle to perform operations in a downhole environment, the autonomous vehicle comprising at least one sensor, the training being performed prior to deployment of the autonomous vehicle, the autonomous vehicle comprising a downhole robot, the training comprising:
- generating a trained model for autonomous operation of the autonomous vehicle;
- and
- using a simulated downhole environment to generate the trained model;
- inserting the autonomous vehicle into the downhole environment;
- obtaining at least one wellbore characteristic using data from the at least one sensor in the autonomous vehicle;
- processing the at least one wellbore characteristic using a compute engine using the trained model, the compute engine being disposed within the autonomous vehicle;
- planning, by the compute engine, one or more actions of the autonomous vehicle based on the trained model;
- and
- causing, by the compute engine, autonomous execution of the one or more planned actions by the autonomous vehicle in the downhole environment.
7 more elements
Dependencies are inferred from the claim text.