T
Takeshi Hiraiwa
Researcher at Kyoto University
Publications - 4
Citations - 97
Takeshi Hiraiwa is an academic researcher from Kyoto University. The author has contributed to research in topics: Geology & Engineering. The author has an hindex of 1, co-authored 1 publications receiving 96 citations.
Papers
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Journal ArticleDOI
Analysis of XANES for identification of highly dispersed transition metal oxides on supports
Satohiro Yoshida,Tsunehiro Tanaka,Tomoko Hanada,Takeshi Hiraiwa,Hiroyoshi Kanai,Takuzo Funabiki +5 more
TL;DR: XANES of vanadium and niobium oxide on silica or alumina have been analyzed quantitatively by a deconvolution technique as discussed by the authors, based on the results for reference compounds.
Proceedings ArticleDOI
Selective and Reversible Water Shut-Off Agent Based on Emulsion System with Nanoparticles Suitable for Carbonate Reservoirs at High Temperature and High Salinity Condition
Masashi Abe,Jumpei Furuno,Satoru Murakami,Takashi Sonoda,Vitaliy Sergeev,Masaaki Tange,Takeshi Hiraiwa,Hideharu Yonebayashi +7 more
TL;DR: In this paper , the evaluation results of water shut-off (WSO) agent based on emulsion type chemical material with nanoparticles are presented for the tasks of improved oil recovery.
Proceedings ArticleDOI
Asphaltene Flow Assurance Pre-Risk Evaluation Case Study to Establish Guidelines for CCUS in Arabian Gulf Carbonate Oil Field
Masaaki Tange,Takeshi Hiraiwa,Khuloud Tareq Khlaifi,Risa Sakurai,Sami El Bahri,Abdalla Abed,Hiroshi Uematsu,K. Makishima,Yuto Inokuma,Masaru Sawata,Sultan Hamdan Alkaabi,Hideharu Yonebayashi +11 more
TL;DR: In this paper , a case study for a comprehensive series of asphaltene flow assurance pre-risk evaluation in Arabian Gulf Carbonate Oil Field at where the CO2 EOR is recognized as one of the highest potential technologies for full-field implementation.
Proceedings ArticleDOI
Managing Adequate Gas EOR for Unstable Asphaltene Stability Field?Asphaltene Flow Assurance Pre-Risk Assessment Case Study for CO2, Enriched Gas, and Lean Gas Options
Masaaki Tange,Takeshi Hiraiwa,Khuloud Tareq Khlaifi,Risa Sakurai,Sami El Bahri,Abdalla Abed,Hiroshi Uematsu,K. Makishima,Yuto Inokuma,Masaru Sawata,Sultan Hamdan Alkaabi,Hideharu Yonebayashi +11 more
TL;DR: In this article , a case study was conducted to extract adequate type of potential injection gas among CO2, enriched gas, and lean gas, where a numerical model, calibrated with experimental outputs, predicted risk magnitude by reservoir depth.