DrillDocs offers CleanSight, a computer vision system that utilizes industrial cameras and AI to monitor shale shakers in real-time, providing insights into cuttings load and shaker performance. This technology addresses the challenges of borehole instability and inadequate hole cleaning, which can lead to costly non-productive time and equipment damage in drilling operations.
Funding
$660K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Borehole instability and inadequate hole cleaning during drilling operations lead to non-productive time, equipment damage, and increased operational costs. Existing geomechanical and hydraulic models often lack the accuracy needed to effectively predict and prevent these issues. Real-time monitoring of drilled cuttings is crucial for early detection, but manual observation in hazardous shaker houses is impractical and inconsistent.
Solution
DrillDocs offers CleanSight, a computer vision system that provides real-time digital shaker surveillance to optimize hole cleaning, detect wellbore instability, and improve shaker performance. The system uses industrial-grade cameras and AI-powered image analysis to monitor the cuttings load on shale shakers, providing drilling teams with immediate insights into downhole conditions. By continuously analyzing the size, shape, and quantity of drilled cuttings, CleanSight detects anomalies indicative of borehole instability or equipment failure, enabling proactive intervention and preventing costly incidents. The system alerts the drilling team to deviations from expected cuttings return rates, allowing for timely adjustments to drilling parameters and improved overall efficiency.
Target Audience
The primary target audience includes drilling engineers, rig operators, and oil and gas companies focused on optimizing drilling performance and minimizing non-productive time in offshore and onshore operations.
Features
- Real-time monitoring of shale shakers using explosion-proof industrial cameras
- AI-powered image analysis to measure cuttings load and detect anomalies
- Detection of cavings indicative of borehole instability
- Identification of debris suggesting potential bottom hole assembly failures
- Monitoring of shaker performance to detect uneven loading or overflow conditions
- Automated alerts for deviations from expected cuttings return rates
- Edge computing capability for on-site AI image extraction