Method and system for monitoring, communicating and controlling completion related operations
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.
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.
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.