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Asphaltene Deposition Control by Chemical Inhibitors: Theoretical and Practical Prospects is the most advanced reference focused on chemical dispersants and inhibitors from both an experimental and modeling viewpoint. Adequate knowledge of the effective parameters in each treatment method, interactions, mechanisms and economic viewpoints involved in asphaltene treatment are crucial for future development, recovery forecast, and reserve prediction, hence this reference delivers on all these aspects. Sections cover the environmental impacts of asphaltene deposition, prevention methods, and…mehr

Produktbeschreibung
Asphaltene Deposition Control by Chemical Inhibitors: Theoretical and Practical Prospects is the most advanced reference focused on chemical dispersants and inhibitors from both an experimental and modeling viewpoint. Adequate knowledge of the effective parameters in each treatment method, interactions, mechanisms and economic viewpoints involved in asphaltene treatment are crucial for future development, recovery forecast, and reserve prediction, hence this reference delivers on all these aspects. Sections cover the environmental impacts of asphaltene deposition, prevention methods, and experimental methods, both static and dynamic, to test the effectiveness of inhibitors on restricting asphaltene deposition.

Rounding out with modeling methods used to simulate asphaltene-inhibitor interactions and a workflow to select suitable inhibitors by technical, economic and environmental considerations, this book will give today's engineers and researchers the right tool to mitigate formation damage in a sustainably responsible way.
Autorenporträt
Ali Ghamartale is currently a Ph.D. Candidate at the Department of Process Engineering, Memorial University of Newfoundland and Labrador, Canada. He earned a PhD in oil and gas engineering from the Memorial University of Newfoundland, a M.Sc. and B.Sc., both in reservoir engineering from Shiraz University. Ali was previously a technician at PetroAzma Company and programmer in MATLAB and has earned one patent.

Shokufe Afzali is currently a Ph.D. Candidate, Department of Process Engineering, Memorial University of Newfoundland and Labrador, Canada.