Abstract: A system for monitoring fluid properties in real-time, where the system includes a flow loop having a fluid inlet and fluid outlet. In some embodiments, the flow loop includes a plurality of pipe sections forming the flow loop, where each of pipe section of the plurality of pipe sections are in fluid communication with each other and sensors fluidly coupled to each of the pipe sections perpendicular to fluid flow within each of the pipe sections. In some embodiments, each of the pipe sections has varying inner diameters. In some embodiments, the sensors measure fluid at different velocities corresponding to the varying inner diameters of each of the pipe sections.

Abstract: A method includes obtaining a density of a fluid and obtaining a Marsh funnel time associated with the fluid. The density of the fluid and the Marsh funnel time is provided to a processor. The processor derives properties of the fluid from the fluid density and the Marsh funnel time. A machine-learning algorithm is applied to the properties of the fluid. The machine-learning algorithm determines a plastic viscosity and a yield point of the fluid. Output of the machine-learning algorithm is stored for future use. Properties of the drilling fluid are adjusted based on the output of the machine learning algorithm.