Innovative Application of Artificial Intelligence in the Extraction, Analysis, and Utilization of Natural Bitumen

Publish Year: 1404
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

CPISCOS01_032

تاریخ نمایه سازی: 13 مهر 1404

Abstract:

Natural bitumen, as a valuable hydrocarbon resource, plays a crucial role in various industries such as road construction, insulation, and the production of petroleum derivatives. However, the processes of extraction, analysis, and processing of this material face several challenges, including structural complexity, chemical instability, and high operational costs. This paper presents a novel approach to the application of artificial intelligence (AI) in the domain of natural bitumen. Machine learning algorithms, computer vision, and big data analytics can significantly optimize extraction processes, predict quality, reduce waste, and enhance overall efficiency. Moreover, AI-based predictive models and decision-support systems have the potential to transform the bitumen industry and promote the sustainable development of this natural resource. This study offers an innovative perspective along with practical solutions for the intelligent utilization of natural bitumen.

Authors

Sahar Abdolahi

Department of Chemistry, Faculty of Basic Science, Ilam University, P.O. Box ۶۹۳۱۵۵۱۶, Ilam, Iran.

Mohammad Soleiman-Beigi

Department of Chemistry, Faculty of Basic Science, Ilam University, P.O. Box ۶۹۳۱۵۵۱۶, Ilam, Iran.