Systems and methods are disclosed herein for improved wireline tension measurement and calibration in an oil-and-gas setting. An example method can include providing a machine-learning model configured to receive inputs associated with wireline tension. The inputs can include, for example, well-trajectory information, fluid density, fluid viscosity, toolstring type, cable type, and friction coefficient. The method can include providing some or all of those inputs and receiving an output from the machine-learning model of an estimated wireline tension. The method can also include receiving a second output of a wireline location recommended for measurement. A user can then perform a measurement at the suggested location and provide the measurement as an additional input to the machine-learning model.
OPTIMIZED TENSION PICKUP AUTOMATION FOR WIRELINE AND COILED TUBING
2024-02-15
Patent
Electronic Resource
English
IPC: | G01L Messen von Kraft, mechanischer Spannung, Drehmoment, Arbeit, mechanischer Leistung, mechanischem Wirkungsgrad oder des Drucks von Fluiden , MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE / B66D Haspeln , CAPSTANS / E21B EARTH OR ROCK DRILLING , Erd- oder Gesteinsbohren |
SAE Technical Papers | 1960
Coiled tubing and vessel motions for riserless coiled tubing systems
Tema Archive | 2004
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