Evaluation and Comparison of the Effect of Adding Pulverized and Unpulverized Rice Husk into Water-Based Drilling Mud on Rheological Properties Along with Presentation of an Artificial Neural Network Model

Document Type : Research Paper

Authors

1 Department of Petroleum Engineering, Kho.C., Islamic Azad University, Khomeinishahr, Iran

2 Department of Mechanical Engineering, Kho.C., Islamic Azad University, Khomeinishahr, Iran

3 Stone Research Center, Kho.C., Islamic Azad University, Khomeinishahr, Iran

Abstract

The rheological properties of drilling fluids are essential parameters in optimizing drilling operations and reducing the total cost of drilling. In this research, in the first stage, the effect of adding herbal polymers of pulverized and unpulverized rice husk on the amount of shear stress of water-based drilling mud (a mixture of water and bentonite) at different shear rates has been investigated and compared. After determining the plastic viscosity (PV) and yield point (YP) of the samples based on the Bingham model, no uniform trend was observed in the changes in the rheological properties of the drilling mud with the increase in the mass of each additive to the base fluid. In the next step of the research, a model based on a two-layer feedforward artificial neural network is designed to predict the shear stress of the studied drilling muds for the input of the arbitrary mass of the additive polymer and arbitrary shear rate of the mud sample, and the network was trained for each set of data corresponding to each of the additives, which resulted in accurate and favorable estimation results. The percentage of average and maximum error obtained for the output values corresponding to the network test data is smaller compared to the results of applying the widely used Herschel-Bulkley model. Moreover, we found through sensitivity analysis that the importance and degree of influence of the shear rate on changes in shear stress are higher compared to the additive mass.

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References

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Journal of Modeling in Engineering
Volume 24, Issue 84
In Progress
March 2026
Pages 169-184

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History

  • Receive Date: 20 January 2025
  • Revise Date: 19 May 2025
  • Accept Date: 15 June 2025

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