US 2021/0079752 A1 · Machine Learning Control for Automatic Kick Detection and Blowout Prevention

Abstract

Novel tools and techniques for are provided for machine learning control of automatic kick detection and blowout prevention. A system includes one or more blowout preventers (BOP), one or more sensors, a neural network bank comprising one or more neural networks, and a machine learning (ML) controller coupled to the one or more BOPs. The ML controller includes a processor, and non-transitory computer readable media comprising instructions executable by the processor to obtain operational data associated with a local well, generate one or more feature vectors based on the operational data, and generate one or more respective kick scores. In a fully automatic operational mode, the ML controller may issue a position command based on the kick score, and in a semi-automatic operational mode, determine the position command recommended to be issued.

Claims20

Dependent claims

A system comprising:

one or more blowout preventers (BOP);
one or more sensors;
a neural network bank comprising one or more neural networks;
a machine learning (ML) controller coupled to the one or more BOPs, the ML controller comprising:
a processor;
and
non-transitory computer readable media comprising instructions executable by the processor to:
obtain, via the one or more sensors, operational data associated with a local well, wherein the operational data is indicative of well conditions and characteristics;
generate one or more feature vectors based on the operational data;
provide the one or more feature vectors to the one or more neural networks;
generate, via the one or more neural networks, one or more respective kick scores;
in a fully automatic operational mode, issue a position command based on the kick score to each of the one or more BOPs;
and
in a semi-automatic operational mode, determine the position command recommended to be issued based on the kick score for each of the one or more BOPs.

11 more elements

An apparatus comprising:

a processor;
and
non-transitory computer readable media comprising instructions executable by the processor to:
obtain, via one or more sensors, operational data associated with a local well, wherein the operational data is indicative of well conditions and characteristics;
generate one or more feature vectors based on the operational data;
provide the one or more feature vectors to the one or more neural networks;
generate, via one or more neural networks, one or more respective kick scores;
in a fully automatic operational mode, issue a position command based on the kick score to each of one or more BOPs;
and
in a semi-automatic operational mode, recommend the position command to be issued based on the kick score for each of the one or more BOPs.

7 more elements

A method comprising:

obtaining, via one or more sensors, operational data associated with a local well, wherein the operational data is indicative of well conditions and characteristics;
generating, via a ML control system, one or more feature vectors based on the operational data;
providing, via the ML control system, the one or more feature vectors to the one or more neural networks;
generating, via one or more neural networks, one or more respective kick scores;
in a fully automatic operational mode, issuing, via the ML control system, a position command based on the kick score to each of the one or more BOPs;
and
in a semi-automatic operational mode, determining, via the ML control system, a recommended position command to be issued based on the kick score for each of the one or more BOPs.

4 more elements

Dependencies are inferred from the claim text.

Machine Learning Control for Automatic Kick Detection and Blowout Prevention

Life of this patent

Machine Learning Control for Automatic Kick Detection and Blowout Prevention

Life of this patent

Abstract

Claims20