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Optimizing Oil Well Cementing: Effects of Dispersant and Fluid Loss Additive Concentrations on Thickening Time and Free Fluid Formation Momoh abdulazeez adeyem; Akuma Oji; John Anaele; Nnadikwe Johnson
Jurnal Teknik Indonesia Vol. 5 No. 01 (2026): Jurnal Teknik Indonesia (JU-TI) 2026
Publisher : SEAN Institute

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Abstract

Optimising cement slurry properties through appropriate additive selection is critical for ensuring successful zonal isolation and preventing costly wellbore failures in oil and gas operations. This research investigated the effects of dispersant and fluid loss additive concentrations on the thickening time and free fluid formation of Class G cement slurry. A systematic two-factor three-level (3²) factorial design was employed, generating nine experimental runs. Statistical analysis included correlation analysis, ANOVA, and multiple regression modelling. The results revealed that dispersant concentration exhibited the strongest influence on thickening time behaviour, establishing it as the primary control mechanism for cement slurry pumpability. Fluid loss additive concentration demonstrated dual functionality, serving both as an effective filtration control agent and providing secondary influence on thickening time. Significant interaction effects were observed between dispersant and fluid loss additive concentrations (p = 0.040), indicating synergistic behaviours. Multiple regression analysis yielded highly predictive models for both response variables, with R² = 0.981 for thickening time and R² = 0.845 for free fluid. The developed models provide a systematic framework for cement slurry optimisation in oil well cementing operations, enabling precise targeting of cement slurry properties for improved well integrity and performance. The research demonstrates the effectiveness of factorial experimental design methodology for understanding complex additive interactions in cement slurry systems.
Evaluating the Impact of Dispersants and Fluid Loss Additives on Cement Slurry Thickening Time: Experimental Design and Statistical Modeling Momoh abdulazeez adeyem; Akuma Oji; John Anaele; Nnadikwe Johnson; Stephen Oyelami
Jurnal Teknik Indonesia Vol. 5 No. 01 (2026): Jurnal Teknik Indonesia (JU-TI) 2026
Publisher : SEAN Institute

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Abstract

Optimising cement slurry properties is critical for successful zonal isolation and preventing wellbore failures in oil and gas operations. This research investigated the effects of dispersant (0.1-1.0% BWOC) and fluid loss additive (0.1-0.35 gal/sk) concentrations on thickening time and free fluid formation of Class G cement slurry using a 3² factorial design. Thickening time was measured with an atmospheric consistometer; free fluid via HTHP filter press. Analysis included ANOVA and multiple regression modeling. Key findings Dispersant strongly influences thickening time (R² = 0.981, RMSE = 8.731 min). Fluid loss additive controls filtration and moderately affects thickening time. Significant dispersant-fluid loss additive interaction (p = 0.040) indicates synergistic effects. Models enable predictive optimization of cement slurry properties
Boosting Carbon Capture in /Coal Plants with Pinch Analysis for Greener Energy Johnson, Nnadikwe; Iheme Chigozie; Momoh abdulazeez adeyem; Stephen Oyelami
Journal Majelis Paspama Vol. 4 No. 01 (2026): Journal Majelis Paspama, 2026
Publisher : Journal Majelis Paspama

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  Boosting carbon capture in coal-fired power plants is crucial for achieving greener energy and mitigating climate change . Pinch analysis, a systematic optimization technique, enhances carbon capture efficiency by minimizing energy consumption and reducing environmental impact. In coal plants, achieving high-purity CO₂ capture is a key objective. Using a 30% MEA (monoethanolamine) solution for carbon capture introduces an initial energy premium of 17.6%. However, applying pinch assessment techniques results in a significant 12.3% reduction in overall energy consumption. This translates to a substantial 50% decrease in energy requirements for carbon capture operations. The implementation of pinch analysis enables coal-fired power plants to achieve an impressive 90% CO₂ capture efficiency, underscoring the potential of this approach to enhance sustainability and cost-effectiveness. By optimizing heat exchange networks and identifying optimal heat transfer points, pinch analysis reduces energy and water consumption in carbon capture processes. This systematic optimization contributes to operational efficiency improvements, paving the way for greener and more sustainable power generation practices. The use of pinch assessment techniques offers a pathway towards cleaner energy production, reduced environmental footprints, and compliance with global climate goals . By strategically matching hot and cold streams, coal plants can minimize resource usage while boosting carbon capture performance.
Sustainable Food Drying Enhancing Efficiency, Nutrition, and Waste Reduction in Food Production Johnson, Nnadikwe; Iheme Chigozie; Momoh abdulazeez adeyem; Stephen Oyelami
Journal Majelis Paspama Vol. 4 No. 01 (2026): Journal Majelis Paspama, 2026
Publisher : Journal Majelis Paspama

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Food drying is crucial for ingredient innovation and product development. Recent breakthroughs in pretreatments, processes, and technologies like microwave and ultrasound drying have transformed the industry, boosting efficiency, preserving nutrients, and reducing waste. These innovations promote sustainability, enabling resource-efficient and technologically advanced food production. Wider adoption of these cutting-edge technologies is crucial to maximize their impact. By embracing modern drying methods, businesses can enhance sustainability, improve production, and increase profitability while preserving nutritional value. This study bridges research and practice, showcasing the benefits of modern drying technologies for sustainable food systems. By adopting these innovations, businesses can foster sustainability, reduce waste, and gain a competitive edge, paving the way for a more efficient and sustainable food future