To use 3D radar technology from car sensors to interpret oilfield data from drilling fluids in the mud return line and also drilling fluids in the mud pits in a non contact manner.
These sensors emit radar and the data that is bounced back is generally receieved as an ASCII code with x, y, z and 'volume' information.
As mud goes through the return line, there is debris and other imperfections on the surface. We want to measure the speed of these imperfections, which in turn tell us the speed of the mud, which together with the level in the return line (we measure using same method, using the z coordinate) and profile of the return line - gets us a volume figure.
The problem is mud is the nastiest thing around on a drilling rig.
Mud (drilling fluids) is corrosive, can be diesel based, high in H2S, hot and full of random debris and other stuff.
We want to measure the surface, treating it as a conveyor belt. And measuring the speed and averaging out the points of the things on the conveyor belt. In 1/2 second intervals or quicker, but also averaging out various points on the surface.
We want to take a snapshot of the surface every 1/2 second (or quicker) and do all the math and algorithms that tells us how fast the surface is moving.
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The better this parameter can be measured on the return line, the quicker and safer drilling can be.