The objective of this work is to determine the main contributing conditions that influence erosion and to improve the accuracy of erosion prediction computationally. Material erosion can occur from solid particles impacting a surface. In the oil and gas industry, this can occur during sand control for reservoir production or injection. Material erosion from solid particle impact is a complex process and can be predicted, either experimentally or computationally, where each has its own advantages and limitations. Many studies have accurately determined the material penetration depth due to erosion. However, not all the relevant reference parameters of interest at the surface are typically measured and accounted for when determining material erosion. These conditions are difficult to obtain using traditional experimental methods.
Material erosion prediction from computational modeling is desirable as it is a low-cost alternative to testing, and it can be used to simulate scenarios that cannot be replicated with current testing methods. However, current erosion models are semi-empirical and were developed based on a specific experimental test. This project advances the understanding and accuracy of how erosion is predicted, both experimentally and computationally, by measuring the penetration depth and the reference parameters at the material surface for various flow conditions and material properties.
To meet this objective and to fill in the gaps with our current state of knowledge for erosion prediction, the particle and material breakdown effects will be determined through a combination of material erosion impingement testing, particle image velocimetry (PIV) tests and a computational fluid dynamics (CFD) simulation effort. Correlations will be developed from both the impingement coupon tests and the PIV tests and will be used to update and refine a computational erosion submodel.
Both the impingement tests and PIV tests are ongoing with a sweep of various flow rates, material properties, particle types and particle concentration. Preliminary empirical correlations are being developed that will feed into the erosion computational submodel. Additionally, preliminary simulations have been accomplished that mimic the impingement coupon tests as shown in Figure 1.