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104 articles for “Physicochemical analysis”
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New Integral Processes Enrichment of Moroccan Oil Shale using Mineral and Hydrometallurgical Methods
Abstract: In this work, we increase the calorific value of Moroccan oil shale, which is the main element in the combustion of fossil fuels. In particular, we consider the shale of Timahdit, enriching it by hydrometallurgical and mineral processing methods in order to use it to generate thermal and electrical energy. Although different studies have been conducted for the development of Moroccan oil shale, but they have not dealt with the …
Published in Journal of Petroleum Engineering & Technology · Vol. 1, Issue 1-3, 2011 · pp. 28–36 Read article
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Harnessing Microbial and Phytoremediation Techniques for Sustainable Remediation of Heavy Metals in Black Cotton Soils
Abstract: Black cotton soils, renowned for their fertility and moisture retention capabilities, face significant challenges due to heavy metal contamination, posing threats to both agricultural productivity and environmental integrity. This review paper presents a comprehensive overview of bioremediation strategies aimed at mitigating heavy metal pollution in black cotton soils. The paper underscores the importance of addressing heavy metal (HM) contamination, emphasizing the need for exploring bioremediation techniques, as it sets the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 193–201 Read article
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Comprehensive Review of the Tehri Dam: Current Status and Developments
Abstract: The Tehri Dam project in India's Chandpur Formation, located in the Himalayan region, has raised concerns about seismic risks due to the presence of main central thrust and main boundary thrust lines. A comprehensive seismic risk analysis was conducted during the design phase of the Tehri Project at the University of Roorkee and the Hydro Project Institute in Moscow. The rock-fill dam is equipped with an underground powerhouse with four …
Published in Journal of Geotechnical Engineering · Vol. 10, Issue 2, 2023 · pp. 13–23 Read article
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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 282–297 Read article