Equip Your Rig with
Digital Shaker Surveillance
Harness the power of AI-enabled computer vision.
Welcome to CleanSight !
A patented, first of its kind, computer vision solution for Digital Shaker Surveillance.
Real Time Video Capture
The power of computer vision starts with the camera.
We use some of the best in the business—Axis Communications’ world-class, explosion proof, industrial cameras with embedded edge computing capability to handle AI-enabled image analysis.
Hole Cleaning Insights
Hole cleaning is complicated to measure and manage.
CleanSight streams cuttings load, size, and shape data in real-time, accounting for lag depth.
Your rig team can use this information to update hydraulic and cuttings transport models.
Trend analysis helps them monitor hole cleaning performance and react to any anomalies, drilling faster and reducing circulating time before tripping.
Cuttings Return Rate
Using image classification, CleanSight measures the cuttings load throughout the entire drilling and cementing process. This data is compared to theoretical cuttings production to detect excessive downhole cuttings accumulation or the influx of undrilled rock (cavings).
Wellbore Stability Monitoring
CleanSight monitors for anomalously large cuttings—unidentified falling objects (UFO's) that might be cavings, the primary indicator of borehole instability.
Unlike mud logging or intermittent rig hand visits to the shakers , CleanSight keeps watch 24x7, always ready to answer the question, "How Do the Shakers Look?"
Operational Advisor
Rather than waiting for a prescribed circulation volume to be pumped, OK2Trip uses a physics-inferred neural network to advise on the state of hole cleanliness and borehole stability so that pipe tripping operations are performed flawlessly.
By monitoring CleanSight data, the drilling team can potentially begin tripping out of hole sooner (saving c.30 minutes of rig time in the example shown here).
Data Science Enabler
Beyond generating alerts at the rig site, CleanSight is a multi-tiered SaaS that uses neural networks to detect, track and identify rock characteristics.
Over time, this will enable increasingly sophisticated drilling advisory services based on big data and deep learning models.
Technical
Publications
Read about DrillDocs' technology and the value it creates in these technical publications, many of them co-authored by our clients:
Field Application of Image Analysis Models to Measure the Drill Cuttings Recovery Rate | SPE ATCE | New Orleans | September 2024
AI Camera System for Real-Time Load Concentration Estimation | Offshore Technology Conference | Houston | May 2024
Using AI Cuttings Load Classification to Assess Hole Cleaning and Wellbore Stability | SPE ATCE | Houston | October 2022
CleanSight Speaks Your Rig EDR’s Language
CleanSight operates as a standalone system, receiving relevant data from the rig EDR via WITS or Cloud—including ROP, flowrate, hook load, and rig status—and sending back time-based data on cuttings recovery rate and cuttings size distribution.
Video feeds, real-time measurements, and critical alerts are displayed on a panel in the driller’s cabin and at the wellsite geologist’s desk.
This allows the drilling team to integrate CleanSight data into their own workflows and make exponentially improved decisions on wellbore stability and hole cleaning