Drilling Zeroing Models for Accurate WOB and Differential Pressure
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Solution Overview
Problem
Conventional drilling technologies struggle to accurately determine weight on bit (WOB) and differential pressure, leading to costly errors and reduced well output due to the complexity of deep and directional drilling, which conventional methods fail to adequately address with timely data processing from downhole sensors and surface control systems.
Innovation Solution
A torque-and-drag model or fluid friction model is used to predict zero tension or pressure for various drilling operations, adjusting friction coefficients to match measured values, enabling a control system to determine more accurate WOB and differential pressure for improved drilling precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional drilling methods are used, then drilling operations can be performed, but measurement precision of weight on bit and differential pressure deteriorates leading to costly errors
Solution Approach 1:
The system continuously monitors drilling parameters including weight on bit and differential pressure, comparing actual measurements against predicted values from the torque-and-drag model. This feedback loop enables real-time detection of deviations and automatic adjustment of drilling parameters, significantly improving measurement precision and operational reliability.
Solution Approach 2:
The patent replaces direct mechanical measurement systems with a computational model-based approach. The torque-and-drag model uses drilling parameters, wellbore geometry, and friction coefficients to calculate predicted weight on bit and differential pressure, substituting complex mechanical sensing with mathematical modeling and data processing.
2Manufacturing precision
If conventional drilling technologies are used, then drilling operations can proceed, but manufacturing precision of well trajectory deteriorates due to inadequate data processing
Solution Approach 1:
The system performs preliminary calculations of the torque-and-drag model before actual drilling operations begin. By pre-computing friction coefficients and model parameters based on wellbore geometry and drilling conditions, the system prepares prediction benchmarks in advance, enabling rapid comparison with real-time measurements without delaying operations.
Solution Approach 2:
The patent dynamically adjusts friction coefficients and other model parameters based on changing drilling conditions, wellbore geometry, and measured drilling parameters. This adaptive parameter adjustment maintains model accuracy throughout the drilling process, ensuring continuous precision in trajectory determination despite varying operational conditions.
3Measurement precision
If simple zeroing methods are used, then the system is easier to operate, but measurement accuracy of weight on bit and differential pressure deteriorates
Solution Approach 1:
The system performs automated zeroing operations without requiring manual intervention. The control system automatically identifies appropriate zeroing conditions, executes the zeroing procedure, and updates the torque-and-drag model parameters. This self-service capability maintains high measurement precision while eliminating the complexity of manual zeroing operations.
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 approach allows for more precise control of drilling parameters, reducing errors and enhancing drilling efficiency, thereby minimizing costs and maintaining well productivity.
Implementation Method 1
A torque-and-drag model or fluid friction model is used to predict zero tension or pressure for various drilling operations, adjusting friction coefficients to match measured values
Implementation Method 2
A torque-and-drag model or fluid friction model is used to predict zero tension or pressure for various drilling operations, adjusting friction coefficients to match measured values
Data Source
AI summary
Embodiments use a torque-and-drag model or fluid friction model for predicting a zero tension or zero pressure for various operations such as rotary drilling and sliding, in vertical, curve, and lateral sections of a well, without using a downhole sensor. By adjusting coefficients of friction, the model can be used to match the predicted hook load, torque, and pressure values with the measured hook load, torque, and pressure values, respectively. A control system can thus determine more accurate zero values for weight on bit and/or differential pressure, which can be used to maintain, alter, plan, modify, and/or predict drilling parameters and conditions.