Real-time Rock Type Identification in Drilling Operations
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Solution Overview
Problem
Current drilling techniques for hydrocarbon wells face challenges in identifying drill bit wear and rock type in real-time, leading to inefficient operations, as they rely on delayed assessments of drill cuttings and rate of penetration, which can result in unnecessary pull-out operations or missed opportunities for coring.
Innovation Solution
A system that uses real-time drilling data, including rate of penetration, weight-on-bit, rotational speed, and surface gas concentrations, to determine the rock type encountered by the drill bit through a rock identification value (ROCKID), allowing for immediate adjustments in drilling operations, such as slowing down the drill string or transitioning to coring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing techniques rely on delayed assessment of drill cuttings to determine rock type, then the assessment can be conducted, but the drilling operation cannot be adjusted in real-time and may miss coring opportunities
Solution Approach 1:
The system performs preliminary rock type identification by analyzing drilling parameters (rate of penetration, weight on bit, rotational speed, torque) as the drill bit encounters different rock formations. This preliminary action enables real-time rock type determination before the delayed cuttings analysis would provide information, allowing operators to make immediate decisions about coring operations or drilling parameter adjustments.
Solution Approach 2:
The system introduces an intermediary measurement approach by using drilling parameters as proxies for rock type identification. Instead of directly analyzing cuttings (which takes time), the system uses measurable drilling parameters that correlate with rock properties as an intermediary method to infer rock type in real-time, bridging the gap between immediate drilling operations and delayed direct analysis.
2Reliability
If existing techniques rely on rate of penetration assessment to identify drill bit wear, then the assessment can be conducted, but unnecessary pull-out operations may occur increasing time and cost
Solution Approach 1:
The system implements continuous feedback by monitoring drilling parameters (rate of penetration, weight on bit, rotational speed, torque) in real-time and comparing them against expected values for different rock types. This feedback mechanism allows the system to distinguish between reduced penetration caused by drill bit wear versus reduced penetration caused by encountering harder rock formations, enabling more accurate assessment and reducing false alarms that lead to unnecessary pull-out operations.
Solution Approach 2:
The system dynamically adjusts drilling parameters and rock type identification based on real-time measurements. By continuously monitoring and adapting to changing drilling conditions, the system can differentiate between temporary variations in penetration rate due to rock heterogeneity and sustained reductions indicating drill bit wear, thereby improving the reliability of wear identification and reducing premature pull-out operations.
3Productivity
If drilling operations proceed without real-time rock type identification, then drilling can continue uninterrupted, but the drill bit may penetrate past the target formation before coring can begin
Solution Approach 1:
The system performs preliminary identification of rock type boundaries by analyzing drilling parameters before the drill bit actually reaches the target formation. This preliminary detection allows operators to anticipate upcoming rock type changes and prepare for coring operations in advance, ensuring that coring can begin immediately when the target formation is reached rather than after the bit has already penetrated past it.
Solution Approach 2:
The system uses real-time feedback from drilling parameter monitoring to detect changes in rock properties as the drill bit approaches and enters the target formation. This continuous feedback enables operators to receive timely alerts about rock type transitions, allowing them to stop drilling and initiate coring operations at the precise moment the target formation is encountered, maximizing productivity without losing time to over-penetration.
Data Source
AI summary
Provided are techniques for drilling hydrocarbon wells based on evaluation of penetrated formation rock that include obtaining historical drilling data for one or more wells, determining a rock type mapping based on the historical drilling data, obtaining current drilling data for a well, determining, based on the current drilling data, a current rock identification (or “ROCKID”), and determining, based on the rock type mapping and the current rock identification, a rock type encountered by a drill bit drilling the well, where drilling parameters can be adjusted based on the rock type.