UNDERFLOW CONTROL STRATEGY
WITH BED-LEVEL DATA
"WITH SMARTDIVER® DATA, OPERATORS CAN ADJUST UNDERFLOW DISCHARGE RATES BASED ON REAL-TIME MUD LEVEL DATA TO MAINTAIN OPTIMAL BED HEIGHT FOR TARGET DENSITY REQUIREMENTS."
ROLE OF MUD LEVEL IN A THICKENER TANK
CORRELATION WITH DEWATERING PROCESS
Research has established that mud bed height correlates with three critical thickener performance parameters:
Solids Residence Time
The height of the mud bed determines how long solids remain in the hindered settling and compression zones. Sufficient bed height can maximise the time available for water extraction before discharge.
Underflow Density
Longer solids residence time allows for more effective dewatering through compression as solids remain under their own weight, water is expelled from the floc network.
The relationship between bed height and achieving a networked gel state is critical. Research by Crust (2017) found that adequate bed height is necessary for solids to reach a networked state—a stable, interconnected floc structure essential for effective dewatering. A sufficient bed height is required to generate adequate pressure at the base for flocs to compact into this networked structure. If the bed is too shallow, particles may never reach the gel point. The resulting bed remains un-networked and inefficient, unable to achieve target underflow densities
It is important to note that maintaining optimal mud bed height improves underflow density, although the specific target height varies depending on ore characteristics, particle size distribution, and flocculation chemistry.
Solids Flux
Solids flux—the rate at which solids settle through the thickener—is influenced by the distribution of settling zones. While a higher mud bed provides greater compression capacity, excessive buildup can restrict the free settling zone above, potentially limiting flux capacity.
THE CONTROL RELATIONSHIP
From an operational perspective, real-time mud level measurement provides actionable data for managing underflow discharge.
Since underflow density is a lagging indicator, mud level data allows operators to proactively maintain optimal bed height before density issues occur—managing the conditions that produce higher density rather than reacting to poor density.