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Advanced nanomaterials in oil and gas industry: Design, application and challenges

Abstract The increase of global energy consumption and the growing demand of fossil fuels as predominant energy resources have greatly improved the advancement of new technologies in hydrocarbon recovery processes. New class of materials, such as nanoparticles has been widely studied in an effort to ensure simpler and more economical oil exploration and production processes, especially in challenging and harsh reservoirs environments. The unique physical and chemical properties of nanomaterials have lead to their application in almost all oil and gas aspects, such as exploration, reservoir characterization, drilling, cementing, production and stimulation, enhanced oil recovery (EOR), refining and processing. This review article presents comprehensive discussion on the most recent development of nanomaterials and their roles in new or enhanced applications in oil and gas industry. Here, the synthetic strategies and functionalization of some of the most common nanomaterials used in oil and gas industry, i.e. metallic and metal oxide nanoparticles, carbon nanotubes and magnetic nanoparticles are summarized. Their applications in different types of oil and gas processes are also discussed. Finally, an outlook on the current challenges and some prospects for the future applications is also highlighted.
- University of Malaya Malaysia
- Universiti Malaysia Terengganu Malaysia
- University of Indonesia Indonesia
- University of Malaya Malaysia
- University of Indonesia Indonesia
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).236 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
