System and methods for well head installation

A method, comprising:

• inserting a casing hanger into a wellhead housing of a wellhead, the casing hanger being configured to land on a landing shoulder of the wellhead housing;
• emitting input ultrasonic pulses from a transducer of the wellhead housing, the ultrasonic pulses reflecting off one or more internal surfaces of the wellhead housing;
• detecting the reflected ultrasonic pulses via an ultrasonic transmitter of the wellhead housing;
• receiving, via one or more sensors, the reflected ultrasonic pulses as the reflected ultrasonic pulses reverberate back in a direction from which the input ultrasonic pulses originated, the ultrasonic transmitter transmitting a signal indicative of the reflected ultrasonic pulses detected by the one or more sensors to a machine-learning model to perform binary classification to determine whether the casing hanger is fully landed, the machine-learning model being trained using data collected through a finite element method-based simulation model, the finite element method-based simulation model being configured to simulate ultrasonic test processes and utilize a simplified 2D axisymmetric model of a cylindrical structure to reduce computational time;
• recording the reflected ultrasonic pulses;
• and
• determining whether the hanger has landed on the landing shoulder by analyzing the reflected ultrasonic pulses using a binary classification neural network.

A system for wellhead installation, the system comprising:

• one or more processors;
• memory accessible to the one or more processors;
• and
• processor-executable instructions stored in the memory and executable by the one or more processors to instruct the system to:
• emit input ultrasonic pulses from a transducer of a wellhead housing, the wellhead housing being configured to provide a landing shoulder for a casing hanger to contact upon installation, the transducer being configured to emit an input pulse, among the input ultrasonic pulses, toward the landing shoulder, an ultrasonic transmitter disposed on the wellhead housing being configured to:
• detect the input pulse and one or more echo pulses associated with the input pulse;
• reflect the input ultrasonic pulses off internal components of the wellhead housing;
• detect the reflected ultrasonic pulses via the ultrasonic transmitter of the wellhead housing;
• record the reflected ultrasonic pulses;
• and
• determine whether the hanger has landed on the landing shoulder by analyzing the reflected ultrasonic pulses using a binary classification neural network,
• wherein the one or more echo pulses are received via one or more sensors as the one or more echo pulses reverberate back in a direction from which the input pulse originated, the ultrasonic transmitter transmitting a signal indicative of the one or more echo pulses detected by the one or more sensors to a machine-learning model to perform binary classification to determine whether the casing hanger is fully landed, the machine-learning model being trained using data collected through a finite element method-based simulation model, the finite element method-based simulation model being configured to simulate ultrasonic test processes and utilize a simplified 2D axisymmetric model of a cylindrical structure to reduce computational time, and
• wherein the processor-executable instructions further instruct the system to:
• control the transducer to emit the input pulse,
• monitor sensor feedback from the one or more sensors,
• control the ultrasonic transmitter to transmit the signal to the machine-learning model, and
• analyze the sensor feedback from the one or more sensors using a binary classification neural network.