Shale Shaker Imaging System for Wellbore Stability Analysis
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Solution Overview
Problem
The wellbore construction process faces challenges in accurately assessing wellbore stability due to variations in rock cutting shapes and sizes, which are influenced by drilling parameters and rock properties, and the phenomenon of caving, which can lead to instability and changes in rock cutting characteristics.
Innovation Solution
A method and system that utilize cameras to capture images of rock cuttings in visible and infrared light spectra, analyzing size, shape, and texture to identify wellbore conditions by comparing the data to a database, allowing for real-time adjustments to drilling parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If rock cuttings are analyzed using traditional methods, then the assessment of wellbore stability is simplified, but the accuracy of identifying wellbore conditions deteriorates due to variations in rock cutting shapes and sizes
Solution Approach 1:
The patent transitions from traditional 2D imaging to 3D imaging of rock cuttings. The 3D imaging system captures depth information and spatial relationships, enabling more accurate characterization of cutting shape, size, and texture variations. This dimensional enhancement allows for better differentiation between cuttings caused by different wellbore conditions, directly improving measurement precision without requiring overly complex operational procedures.
Solution Approach 2:
The patent replaces manual mechanical analysis methods with automated optical imaging systems. Instead of physically examining and measuring rock cuttings, the system uses cameras and image processing algorithms to automatically capture, analyze, and interpret cutting characteristics. This substitution reduces device complexity by eliminating manual intervention while maintaining or improving measurement accuracy through consistent, repeatable digital analysis.
2Loss of information
If multiple camera systems are used to capture visible and infrared images, then the information about rock cutting characteristics is enhanced, but the device complexity and cost increase
Solution Approach 1:
The patent combines multiple imaging modalities (visible light and infrared) into a single integrated system. By merging these different types of information capture, the system obtains comprehensive data about rock cutting characteristics including thermal properties, moisture content, and structural features that are invisible to single-modality systems. This consolidation reduces information loss while managing device complexity through integrated hardware and software architecture.
Solution Approach 2:
The imaging system is designed to perform multiple functions using the same hardware platform. The camera system can capture visible light images for general morphology, infrared images for thermal and compositional analysis, and process this data through various algorithms to extract different types of information. This multi-functionality reduces the need for separate specialized devices, thereby reducing overall device complexity while maintaining complete information capture.
3Loss of time
If real-time image analysis is performed to identify wellbore conditions, then corrective actions can be taken timely, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing images and pre-defining thresholds for wellbore condition identification. Image enhancement, noise filtering, and feature extraction are performed in advance, and decision rules are pre-established based on historical data and expert knowledge. This preliminary processing reduces the computational burden during real-time operation, enabling faster response times without requiring excessive computational power during critical moments.
Solution Approach 2:
The system implements feedback mechanisms where the results of image analysis are continuously monitored and used to adjust processing parameters. When wellbore conditions are stable, the system can use simpler, faster analysis algorithms. When anomalies are detected, the system automatically increases processing intensity and applies more sophisticated analysis methods. This adaptive feedback approach optimizes the balance between response time and computational power requirements.
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 accurate identification of wellbore conditions, facilitating timely corrective actions to maintain stability and optimize drilling operations by providing detailed insights into rock cutting characteristics and stress regimes.
Implementation Method 1
capturing visual data of cuttings in a visible light spectrum using a first camera
Implementation Method 2
capturing visual data of the cuttings in an infrared light spectrum using a second camera
Data Source
AI summary
A method for identifying a wellbore condition includes capturing a first image of cuttings on or downstream from a shale shaker using a first camera. A size, shape, texture, or combination thereof of the cuttings in the first image may be determined. A wellbore condition may be identified based on the size, shape, texture, or combination thereof of the cuttings in the first image.