Drill Bit Malfunction Identification via Alkene Gas and Cuttings Analysis
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Solution Overview
Problem
Current methods for identifying drill bit malfunctions due to wear or incorrect selection in hydrocarbon well drilling are inadequate, leading to premature wear, breakages, and increased drilling costs, as they rely solely on the rate of penetration, which can be influenced by lithology anisotropies and not accurately indicate drill bit issues.
Innovation Solution
A method integrating measurements of rate of penetration, alkene gas concentration in drilling mud, torque, and microstructural analysis of cuttings to generate an alert signal for drill bit replacement, using a computer system to process and compare these parameters against threshold values to determine if the drill bit should be brought to the surface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only rate of penetration is used to identify drill bit malfunctioning, then the method is simple, but the identification accuracy is insufficient due to lithology anisotropies
Solution Approach 1:
The patent combines multiple measurement parameters (rate of penetration, alkene gas concentration, torque, and cuttings microstructural analysis) into an integrated monitoring system. This merging of multiple measurement streams provides complementary information that collectively improves drill bit malfunctioning identification accuracy while filtering out false signals from lithology variations.
Solution Approach 2:
The patent introduces alkene gas concentration as an intermediary indicator that mediates between the mechanical drilling parameters and the actual drill bit condition. The gas concentration serves as a chemical signature that specifically indicates thermal cracking from drill bit malfunctioning, distinguishing it from lithology-related rate changes.
2Productivity
If drilling continues with worn drill bit to maximize productivity, then drilling time is extended, but drill bit breakage occurs causing waste
Solution Approach 1:
The patent implements preliminary detection of drill bit malfunctioning through continuous monitoring of alkene gas concentration and cuttings analysis before actual breakage occurs. By detecting the chemical signs of thermal cracking and mechanical degradation in advance, the system enables proactive drill bit replacement, preventing catastrophic failures and extending reliable drilling operation.
Solution Approach 2:
The patent establishes a feedback loop where real-time measurement data (rate of penetration, gas concentration, torque) is continuously analyzed and fed back to control drilling operations. This feedback mechanism allows dynamic adjustment of drilling parameters and timely drill bit replacement decisions, optimizing the balance between continuous productivity and reliability.
3Reliability
If drill bit is replaced immediately upon rate of penetration drop, then drill bit wear is addressed, but unnecessary replacement increases cost
Solution Approach 1:
The patent replaces reliance on mechanical performance indicators (rate of penetration alone) with a multi-parameter diagnostic system including chemical analysis (alkene gas concentration) and microstructural analysis of cuttings. This substitution provides more accurate and specific detection of drill bit malfunctioning, enabling differentiated responses between actual failures and temporary performance variations.
Solution Approach 2:
The patent monitors changes in multiple parameters simultaneously (rate of penetration, gas concentration, torque, cuttings morphology) to detect the specific signature pattern of drill bit malfunctioning. By analyzing the combination and evolution of these parameter changes over time, the system can distinguish between transient rate drops due to lithology and genuine drill bit degradation, optimizing replacement timing.
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
Enables early identification of drill bit malfunctions, reducing waste and costs by accurately distinguishing between drill bit issues and lithology-related anisotropies, ensuring timely replacement and optimizing drilling efficiency.
Implementation Method 1
extraction of the drilling mud; measurement of the concentration in the drilling mud of at least one gas species belonging to the group of the alkenes
Data Source
AI summary
Disclosed is a method for identification of malfunctioning of a drill bit during drilling of hydrocarbon wells. The method includes measuring the penetration rate of the drill bit, measuring the drilling length, measuring the drilling mud concentration of at least one alkene gas species, measuring the torque at the drill bit, then analyzing the microscopic structure of the drilling cuttings on the basis of the values assumed by these measurements and on the basis of the observations of this microscopic structure. Finally the method generates an alert signal and returns the drill bit to the surface. The method facilitates a system for the early identification of drill bit malfunction due to wear, both in the case of fatigue and in the case of wrong initial choice of the type of drill bit with respect to the lithology of the rocks to be drilled.