Chapter
May 3, 2024

Characterization of the Rheological Properties of Cement Grouts and Bentonite Drilling Muds with and without Saltwater at Two Temperatures Using Vipulanandan Models

ABSTRACT

Cement grouts are used for installing pipes and wells, repairing infrastructure, treating and stabilizing soils and rocks, and also treating contaminated soils. Drilling muds are used in installing various deep foundations, pipes, tunnels, drilling boreholes, and in horizontal direction drillings even along the coastal regions. In this study, cement grouts with water-to-cement ratios of 1.0 and 1.5 were tested with and without 3.5% salt water. Also, drilling muds with bentonite clay content of 4% and 6% were tested. Also, the tests were performed at 25°C and 75°C. Based on the electrical impedance-frequency response, electrical resistivity was identified as the critical material property to monitor using the Vipulanandan impedance model for the cement grouts and the bentonite clay drilling muds. Immediately after mixing the resistivity of cement grouts with water-to-cement ratio of 1.0 and 1.5 were 1.42 and 1.60 Ωm, respectively, and the salt water and temperature reduced the initial resistivity. The initial resistivity of the drilling muds with 4% and 6% bentonite were 5.5 and 4.5 Ωm, respectively. Rheological tests showed that both fluids were non-Newtonian fluids and were shear thinning. The cement grouts’ yield stresses were higher than the yield stresses of the drilling muds. Salt water and higher temperature modified the rheological properties of the cement grouts and drilling muds. Vipulanandan rheological model was used to model the behaviors, and the maximum shear stress tolerance (new parameter) for the cement grouts were higher than the drilling muds. Also, the maximum shear stress tolerance of the drilling mud is an indicator of borehole cleaning (removing mud filtercakes) and also the potential for formation erosion. Vipulanandan rheological model predicted the cement grouts and drilling muds rheological behaviors very well based on the root mean square error (RMSE) and coefficient of variation statistical parameters.

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REFERENCES

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IFCEE 2024
Pages: 165 - 175

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Published online: May 3, 2024

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1Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Houston, Houston, TX. Email: [email protected]
C. Vipulanandan, Ph.D., P.E., M.ASCE [email protected]
2Professor and Director of Center for Innovative Grouting Materials and Technology and Director of Texas Hurricane Center for Innovative Technology, Dept. of Civil and Environmental Engineering, Univ. of Houston, Houston, TX. Email: [email protected]

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