Micro-rotating Drilling Algorithm for Top Drive Friction Control
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Solution Overview
Problem
During directional drilling, the static friction resistance in the drill string significantly affects drilling efficiency due to the non-rotating state of the drill string, leading to reduced performance.
Innovation Solution
A micro-rotating drilling method utilizing a neural network control model that processes rotation speed and torque data to generate a micro-rotating drilling algorithm, converting static friction into sliding friction by controlling the top drive to achieve micro-rotation operations, thereby optimizing drill string movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the drill string is kept in a non-rotating sliding state during directional drilling, then the directional drilling operation can be performed, but the static friction resistance increases significantly, reducing drilling efficiency
Solution Approach 1:
The patent applies the dynamics principle by transitioning the drill string from a static non-rotating state to a dynamic micro-rotating state. The top drive system is controlled to rotate the drill string at a very low speed (micro-rotation), which converts the static friction resistance into dynamic friction resistance. This dynamic state allows the drill string to maintain directional drilling capability while significantly reducing the friction resistance, thereby improving drilling efficiency.
2Force
If the drill string is rotated during directional drilling, then the static friction resistance is reduced, but the control complexity of the top drive increases
Solution Approach 1:
The patent applies parameter changes by precisely controlling the rotation speed parameter of the top drive to maintain it within a specific micro-rotation range. By adjusting and maintaining the rotation speed at a very low level (micro-rotation), the system reduces static friction resistance while avoiding the complexities associated with higher speed rotation. The control system monitors and adjusts the rotation parameters to keep the drill string in the optimal micro-rotating state.
Solution Approach 2:
The patent implements feedback control by continuously monitoring the rotation speed and torque of the top drive, and using this information to adjust the control algorithm. The neural network control model processes real-time data about the drill string's rotational state and provides feedback adjustments to maintain the micro-rotation condition, thereby reducing static friction resistance while managing control complexity through intelligent adaptive control.
3Power
If the top drive operates at high torque and speed, then the drilling power is sufficient, but the static friction resistance prevents effective drilling progress
Solution Approach 1:
The patent applies dynamics by inducing micro-rotation in the drill string, which transforms the friction condition from static to dynamic. Even though the rotation speed is very low, this dynamic state allows the full drilling power from the top drive to be effectively transmitted to the drill bit without being blocked by static friction resistance. The micro-rotation enables the drill string to overcome the static friction threshold and maintain continuous drilling progress.
Solution Approach 2:
The patent converts the harmful effect of static friction resistance into a beneficial effect by using controlled micro-rotation. The slight rotation generates enough motion to overcome static friction, and the friction that remains becomes dynamic friction which is lower and more manageable. This approach transforms the previously harmful static friction into a beneficial controlled friction state that enables effective power transmission.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method allows for continuous control of maximum torque and speed, enhancing drilling efficiency by converting static friction into sliding friction, thus improving the drill string's ability to maintain a preset speed and reduce resistance.
Implementation Method 1
converting static friction into sliding friction by controlling the top drive to achieve micro-rotation operations
Data Source
AI summary
The invention discloses a micro-rotating drilling method in directional drilling, a computer device and a readable storage medium. Including: acquiring rotation speed and torque and on-site drilling information; taking the rotation speed and the torque as a micro-rotating drilling state learning sample, taking the on-site drilling information as a second learning sample, inputting to a neural network control model for training, outputting a micro-rotating drilling algorithm for controlling the top drive; controlling the top drive with the micro-rotating drilling algorithm to achieve the micro-rotation operation. In the invention, an maximum torque and an maximum speed of the top drive can be continuously controlled during the operations such that the drill string can drive the drill tool to drill forward at a preset speed, static frictional resistance exerted on the drill string can be better eliminated.