The design of oil and gas production equipment to withstand erosive conditions and
optimize the production rate, while keeping the piping system operating safely, requires a
reliable erosion prediction tool. It is well known that many factors can affect erosion damage,
such as flow geometry, pipe material, carrier fluid properties, flow conditions and flow regime,
and particle properties. To predict erosion, a key ingredient is to have properly calculated
particle impact parameters, such as impact velocity, impact angle, impact location, and impact
frequency. The guideline in API RP 14E is not reliable in determining erosional threshold
velocity when sand production is expected. A few models that were previously presented in
the literature to calculate solid particle erosion utilize the fluid velocity instead of the actual
particle impact velocity. These models account for fluid density, particle diameter, and some
common flow geometries, and have been compared with some lab and field data. Their
application, however, is limited due to the limited physics behind them. Shirazi et al. presented
a mechanistic model accounting for most of the key parameters listed above2. This model
predicts erosion rate using the calculated representative particle impact velocity. The drawback
of this previous model is that the calculation is based on one-dimensional particle tracking.
This limits its application to relatively large sand particles (>50 to 100 microns) or cases where gas is the carrier fluid. After extensive studies utilizing CFD-based erosion modeling, the
authors found that both the normal and tangential particle impact velocity components and the
turbulence field are essential in erosion calculations for certain cases. A mechanistic model
based on two-dimensional particle impact characteristics was developed based on these
findings. Comparisons of results from the 2-D mechanistic model and the previous 1-D model
together with the CFD-based model, and experimental data are presented in this paper.
Keywords: Sand Erosion, Particle Tracking, Erosion Modeling