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Application of Machine Learning Techniques for Sand Erosion Prediction for Elbows in Multiphase Flow

Product Number: 51323-18995-SG

Author: Ronald E. Vieira, Farzin Darihaki, Jamie Li, Siamack A. Shirazi

Publication Date: 2023

$20.00

In the oil and gas industry, sand production can lead to blockage of pipelines, corrosion and erosion, which may cause the failure of the fluid transport system, pipeline leakage, and consequently environmental contamination. In the process of fluid transportation, the pipe walls are always impacted by particles entrained in flowing fluid. As a result, the corresponding erosive wear may be detrimental to pipe wall structural integrity. Although sand screens and gravel packs are frequently used to minimize sand production, technical and economic challenges or limitations with these practices are still present in the industry1.

Products tagged with 'machine learning.'

Application of Machine Learning Techniques for Sand Erosion Prediction for Elbows in Multiphase Flow

Association for Materials Protection and Performance