Self-Cleaning Micro-Venturi Cement Pipes: A Dual-Mechanism Approach for Anti-Deposition and Drag Reduction

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Authors: Guangyang Wang
Cited by: 0

Abstract

This dataset supports the findings of the paper "Self-Cleaning Micro-Venturi Cement Pipes: A Dual-Mechanism Approach for Anti-Deposition and Drag Reduction".The files are organized as follows: 1. CFD simulations/ Contains all Computational Fluid Dynamics (CFD) simulation data for the continuous micro-Venturi cement pipe (CMVCP) and the reference normal cement pipe (NCP) at flow rates of 10–50 L/min. Includes geometry files, mesh data, case files, simulation results, and post-processing outputs. 2. Test Data/ Contains all experimental measurements from the solid-liquid two-phase flow tests: Original Experimental Data Pressure drop ratios indicating energy efficiency .xlsx Processed Data.xlsx Residual kaolin deposit and Deposition reduction rate.xlsx Statistical significance analysis.xlsx Turbidity characteristics reflecting flow field modifications.xlsx 3.readme.txt This file containing the description of the dataset.

Fields of Study & Subjects

Rheology and Fluid Dynamics Studies Particle Dynamics in Fluid Flows Drilling and Well Engineering

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 March 2026
Language
EN
Document type
Dataset