eprintid: 15645 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/01/56/45 datestamp: 2023-11-10 03:30:16 lastmod: 2023-11-10 03:30:16 status_changed: 2023-11-10 02:00:00 type: book metadata_visibility: show creators_name: Kumar, S. creators_name: Foroozesh, J. title: Application of nanotechnology in hydrocarbon reservoir exploration and characterization ispublished: pub note: cited By 4 abstract: The future development of the oil and gas industries relies on the detection and characterization of subsurface hydrocarbon reservoirs and the ability to estimate their reserves (recoverable hydrocarbon in-place). Conventional passive tools such as well-logging techniques used for characterization of geological formations are not always capable of acquiring sufficient data due to shallow and partial penetration of generated signals by logging devices through the reservoir rock. However, adequate nanosensors or nanorobots have proved to be successful as active tools for reservoir exploration and characterization. This chapter describes theoretical and analytical aspects of nanotechnology for subsurface applications especially in the field of reservoir exploration and characterization. The chapter covers some basic concepts of hydrocarbon reservoirs and discusses the application of nanotechnology such as nanosensors, nanorobots, and nanoreporters in various fields of reservoir exploration and characterization including hydrocarbon detection, flood front monitoring, and H2S gas detection and monitoring in subsurface formations. © 2021 Elsevier Inc. All rights reserved. date: 2021 publisher: Elsevier official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117294867&doi=10.1016%2fB978-0-12-821346-9.00015-8&partnerID=40&md5=05fd2dbe800342de87d83e2f50618326 id_number: 10.1016/B978-0-12-821346-9.00015-8 full_text_status: none publication: Emerging Nanotechnologies for Renewable Energy pagerange: 115-134 refereed: TRUE isbn: 9780128213469 citation: Kumar, S. and Foroozesh, J. (2021) Application of nanotechnology in hydrocarbon reservoir exploration and characterization. Elsevier, pp. 115-134. ISBN 9780128213469