Weighted MSE and HMSE Formulas for Drilling Efficiency
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Solution Overview
Problem
Existing drilling efficiency metrics, such as mechanical specific energy (MSE) and hydromechanical specific energy (HMSE), do not adequately account for variations and uncertainties in drilling operations, including friction forces and operational parameters, leading to inaccurate indicators of drilling efficiency and quality.
Innovation Solution
Modifying the MSE/HMSE formulas by weighting operational parameters based on 'hidden' relationships between drilling data and observed specific energies, using unsupervised machine learning techniques and artificial neural networks (ANNs) to analyze drilling data and remove outliers, thereby providing a more accurate assessment of drilling efficiency and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional MSE/HMSE formulas are used to evaluate drilling efficiency, then the evaluation process is simple, but the accuracy and reliability of the efficiency indicator is insufficient due to not accounting for friction forces and operational parameter variations
Solution Approach 1:
The patent modifies the traditional MSE/HMSE formulas by introducing weighting factors for different operational parameters (weight on bit, torque, RPM, flow rate, pressure drop). These weighting factors account for friction forces and variations in drilling conditions, transforming the simple unweighted formulas into more complex weighted formulas that provide accurate efficiency evaluation while maintaining a systematic approach to parameter integration
Solution Approach 2:
The patent introduces weighting factors as intermediary elements that mediate between the basic operational parameters and the final efficiency calculation. These weighting factors capture the influence of friction forces and operational variations without requiring direct measurement of each individual force, serving as intermediaries that translate complex physical interactions into adjustable formula parameters
2Productivity
If drilling operations proceed without real-time efficiency monitoring, then the operational process is straightforward, but nonproductive time increases due to inability to make timely adjustments
Solution Approach 1:
The patent implements a feedback mechanism where the modified MSE/HMSE formulas continuously evaluate drilling efficiency based on real-time operational parameters. The calculated efficiency values feed back to operators or control systems, enabling timely adjustments to drilling parameters (weight on bit, RPM, flow rate) to maintain optimal efficiency and reduce nonproductive time
Solution Approach 2:
The patent establishes predetermined efficiency thresholds and criteria using the modified formulas before drilling operations begin. These preliminary criteria enable operators to anticipate efficiency degradation and take preventive actions before significant nonproductive time occurs, rather than reacting only after problems manifest
Data Source
AI summary
A method comprises drilling a borehole and capturing data during drilling of the borehole, wherein the data comprises at least one value of at least one operational parameter of the drilling. A specific energy formula is modified and used to determine at least one of an efficiency and a quality of drilling of a borehole. Modifying the specific energy formula is based on data captured during drilling of the borehole. The specific energy formula comprises at least one of a mechanical specific energy formula and a hydromechanical specific energy formula. An adjusted specific energy value for the drilling is calculated based on the modified specific energy formula. At least one of the efficiency and the quality of the drilling of the borehole is determined based on the adjusted specific energy value. Also disclosed is a system comprising a machine-readable medium having program code executing the method.