System and method for measuring characteristics of cuttings and fluid front location during drilling operations with computer vision

1. A system comprising:

a shaker table;

at least one camera operably connected to a processor, the processor configured to perform particle detection, wherein the processor extracts features of the particles, estimates the volume of the particles, estimates the shape of the particles, or a combination of all three using machine vision, wherein the machine vision comprises analyzing a statistical distribution of data tracked as a function of time;

wherein the system is configured for localizing the location of a fluid front on a shaker table and wherein the processor is operably connected to the shaker table and configured to adjust automated activity of the shaker table based on the localized location of the fluid front wherein localizing comprises detecting or estimating the actual fluid front location by the processor.

2. The system of claim 1 , configured for monitoring characteristics of drilling cuttings and adjusting automated activity of the shaker table based on the characteristics.

3. The system of claim 1 further comprising distance sensing equipment operably connected to the processor for sensing the distance from the camera to the shaker table.

4. The system of claim 1 , further comprising at least one sensor for detecting a predetermined parameter of a well circulatory system.

5. The system of claim 1 , further comprising a well flow-in sensor, flow-out sensor, and pit volume sensor.

6. The system of claim 1 , further comprising a light source arranged and designed to provide lighting during diverse weather conditions and times of day.

7. The system of claim 1 , wherein the speed and/or angle of the shaker table may be adjusted based on information received from the processor.

8. The system of claim 1 , further comprising at least two cameras configured to provide stereo vision.

9. The system of claim 1 , further comprising at least two cameras configured to monitor the shaker table from significantly different angles.

10. The system of claim 1 , further comprising a bit-depth sensor.

11. The system of claim 1 further comprising a database.

12. The system of claim 11 wherein said database is capable of comparing current data against historical data.

13. The system of claim 1 further comprising an alarm system for alerting staff to the occurrence of a pre-determined condition.

14. The system of claim 1 wherein the processor estimates the volume of the particles and estimates the shape of the particles.

15. A method for measuring the characteristics of drill cuttings comprising:

acquiring visual data from at least one camera;

performing particle detection using said data and a processor;

extracting feature data of a representative sample of detected particles using machine vision, wherein the machine vision comprises analyzing a statistical distribution of data tracked as a function of time;

detecting changes in the feature data of the detected particles; and

localizing the location of a fluid front on a shaker table by a processor operably connected to the shaker table and configured to adjust automated activity of the shaker table based on the localized location of the fluid front wherein localizing comprises detecting or estimating the actual fluid front location by the processor.

16. The method of claim 15 , further comprising comparing said visual or feature data against a database of previously recorded data.

17. The method of claim 15 , further comprising compiling visual data from multiple cameras and performing particle detection on the compiled visual data.

18. The method of claim 15 , further comprising alerting staff to the occurrence of a pre-determined condition.