A novel predictive model for the compressive strength development in class G cement slurries at different temperatures, retarder, and salt concentrations
Using oil well cement with high early-age compressive strength plays a crucial role in securing the long-term integrity of the wellbore. Hence, an accurate evaluation and estimation of delay in cement compressive strength becomes considerably important to reduce cost expenditure in drilling operatio...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-07-01
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| Series: | Case Studies in Construction Materials |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509525001585 |
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| author | Ali Barati Harooni Hasan Maroof Maryam Abdollahi Khoshmardan Omid Pourali |
| author_facet | Ali Barati Harooni Hasan Maroof Maryam Abdollahi Khoshmardan Omid Pourali |
| author_sort | Ali Barati Harooni |
| collection | DOAJ |
| description | Using oil well cement with high early-age compressive strength plays a crucial role in securing the long-term integrity of the wellbore. Hence, an accurate evaluation and estimation of delay in cement compressive strength becomes considerably important to reduce cost expenditure in drilling operations. In this research, several experiments were run utilizing a non-destructive approach by using the Ultrasonic Cement Analyzer (UCA) device to evaluate the influence of temperature, retarder, and salt concentrations on the delay of 24-hour cement compressive strength. Moreover, a computer-based Radial Basis Function optimized by Particle Swarm Optimization (PSO-RBF) model with three layers was developed for the estimation of experimental compressive strength data. In addition, a rate-constant model was also developed for the prediction of the measured compressive strength profile of cement slurries. The results showed that increasing the temperature decreases the delay in compressive strength. Also, increasing the retarder and salt concentration in cement slurry can increase the delay in compressive strength. The modeling results revealed that the overall correlation coefficient (R2) and Average Absolute Relative Deviation (AARD%) of the PSO-RBF model were 0.9999 and 3.36 %, respectively. The developed models are useful for rapid prediction of the compressive profile of cement slurries when there is no or a limited number of experimental data. |
| format | Article |
| id | doaj-art-f39587bdb0cb4ad3b9e7ba48c7cac0c1 |
| institution | Kabale University |
| issn | 2214-5095 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Construction Materials |
| spelling | doaj-art-f39587bdb0cb4ad3b9e7ba48c7cac0c12025-02-10T04:34:24ZengElsevierCase Studies in Construction Materials2214-50952025-07-0122e04360A novel predictive model for the compressive strength development in class G cement slurries at different temperatures, retarder, and salt concentrationsAli Barati Harooni0Hasan Maroof1Maryam Abdollahi Khoshmardan2Omid Pourali3School of Energy, Geoscience, Infrastructure, and Society, Heriot-Watt University, Edinburgh, United KingdomUniversity of Tehran, Tehran, Iran; Corresponding author.Curtin University, Curtin, AustraliaSharif University, Tehran, IranUsing oil well cement with high early-age compressive strength plays a crucial role in securing the long-term integrity of the wellbore. Hence, an accurate evaluation and estimation of delay in cement compressive strength becomes considerably important to reduce cost expenditure in drilling operations. In this research, several experiments were run utilizing a non-destructive approach by using the Ultrasonic Cement Analyzer (UCA) device to evaluate the influence of temperature, retarder, and salt concentrations on the delay of 24-hour cement compressive strength. Moreover, a computer-based Radial Basis Function optimized by Particle Swarm Optimization (PSO-RBF) model with three layers was developed for the estimation of experimental compressive strength data. In addition, a rate-constant model was also developed for the prediction of the measured compressive strength profile of cement slurries. The results showed that increasing the temperature decreases the delay in compressive strength. Also, increasing the retarder and salt concentration in cement slurry can increase the delay in compressive strength. The modeling results revealed that the overall correlation coefficient (R2) and Average Absolute Relative Deviation (AARD%) of the PSO-RBF model were 0.9999 and 3.36 %, respectively. The developed models are useful for rapid prediction of the compressive profile of cement slurries when there is no or a limited number of experimental data.http://www.sciencedirect.com/science/article/pii/S2214509525001585Compressive strengthClass G cementDelay-cement slurryDrillingOil well cementing |
| spellingShingle | Ali Barati Harooni Hasan Maroof Maryam Abdollahi Khoshmardan Omid Pourali A novel predictive model for the compressive strength development in class G cement slurries at different temperatures, retarder, and salt concentrations Case Studies in Construction Materials Compressive strength Class G cement Delay-cement slurry Drilling Oil well cementing |
| title | A novel predictive model for the compressive strength development in class G cement slurries at different temperatures, retarder, and salt concentrations |
| title_full | A novel predictive model for the compressive strength development in class G cement slurries at different temperatures, retarder, and salt concentrations |
| title_fullStr | A novel predictive model for the compressive strength development in class G cement slurries at different temperatures, retarder, and salt concentrations |
| title_full_unstemmed | A novel predictive model for the compressive strength development in class G cement slurries at different temperatures, retarder, and salt concentrations |
| title_short | A novel predictive model for the compressive strength development in class G cement slurries at different temperatures, retarder, and salt concentrations |
| title_sort | novel predictive model for the compressive strength development in class g cement slurries at different temperatures retarder and salt concentrations |
| topic | Compressive strength Class G cement Delay-cement slurry Drilling Oil well cementing |
| url | http://www.sciencedirect.com/science/article/pii/S2214509525001585 |
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