# US 12,000,269 B2 · Method and system for monitoring, communicating and controlling completion related operations

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- Number: US 12,000,269 B2
- Document ID: US12000269B2
- Status: Granted
- Kind: B2
- Application number: 16/839,445
- Filed: 2020-04-03
- Published: 2020-10-08
- Granted: 2024-06-04
- Earliest claimed: 2019-04-05
- Assignees: Mccoy Global Inc.
- Applicants: McCoy Global Inc.
- Inventors: Gareth Dustin Sonnier; Bing Deng; Richard Chism; Andrei Dmitriev
- Web page: https://patentgrep.com/patent/US12000269B2

## CPC

- E21B 47/12: Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
- E21B 41/00: Equipment or details not covered by groups E21B15/00 - E21B40/00
- G05B 13/024: {in which a parameter or coefficient is automatically adjusted to optimise the performance}
- G05B 13/0265: {the criterion being a learning criterion}
- G06N 7/01: Probabilistic graphical models, e.g. probabilistic networks
- G06N 20/00: Machine learning
- H04L 67/12: specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- E21B 2200/22: Fuzzy logic, artificial intelligence, neural networks or the like
- E21B: EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G)
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)

## Abstract

A method is provided for remote monitoring, decision making and operation of one or more parameters of on-site well operation equipment. The method includes collecting data corresponding to the at least one parameter by one or more on-site sensor modules assigned to the equipment for monitoring joint make-up of tubing and casing connections; transmitting the collected data to an on-site make-up monitoring system; transmitting said collected data from the on-site make-up monitoring system to a cloud or edge-based system for storage, display and analysis; accessing collected day by one or more users via one or more dedicated remote portals for review or analysis; and transmitting instructions from any one or more users via the remote portal and cloud or edge-based system back to the on-site make-up monitoring system for modifying the operation of the equipment within predefined limits. A system for remote monitoring, decision making and operation of one or more parameters of on-site well operation equipment is further provided as well as a calibration system and a calibration method for calibrating mechanized well operation equipment.

## Claims

### Claim 1

A calibration certainty system for increasing certainty in the calibration state of mechanized well operation equipment, comprising:
i) an on-site make-up monitoring system connected to on-site sensor module of the mechanized equipment, for receiving and processing sensor data; and,
ii) a cloud or edge-based system connected with said on-site make-up monitoring system and comprising cloud or edge-based calibration certainty algorithms for analyzing sensor data;
wherein the cloud or edge-based calibration certainty algorithms provide a certainty index and limits in connection with the sensor data and make-operation to thereby provide statistical confidence and increased certainty that sensor data align with the calibration state of the equipment during operation.

### Claim 2

A calibration certainty determination method for increasing certainty of the calibration state of mechanized well operation equipment, comprising:
i) installing and initially calibrating the equipment
ii) collecting calibration and operation data from the equipment via an on-site make-up monitoring system
iii) transmitting said data to a cloud or edge-based system;
iv) recalibrating equipment to confirm initial calibration validity;
v) performing via a cloud or edge-based system applied machine learning to validate calibration;
vi) updating an applied machine learning model with updated machine learning coefficients; and
vii) activating the model to provide a Certainty Index with respect to calibration state of the well operation equipment operation,
wherein the certainty index provides statistical confidence and increased certainty that sensor data align with the calibration state of the equipment during operation.