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    J

    Japan Petroleum Energy Center

    EST. 1986
    182论文总数
    2,160引用总数

    论文量&引用量时间轴

    机构学者

    排序
    Hiromichi Shimada
    Hiromichi Shimada
    National Institute of Advanced Industrial Science and Technology
    论文:9引用:0H-index:0
    Masao Yoshimoto
    Masao Yoshimoto
    Japan Cooperation Center, Petroleum (JCCP)
    论文:8引用:0H-index:0
    Tetsuya Tamagawa
    Tetsuya Tamagawa
    Research Center, Japan Petroleum Exploration Co., Ltd
    论文:8引用:0H-index:0
    Kazuhiko Tezuka
    Kazuhiko Tezuka
    Technical Division Research Center, Japan Petroleum Exploration Co., Ltd
    论文:7引用:0H-index:0
    Yasuhiro Araki
    Yasuhiro Araki
    The University of Tokyo
    论文:6引用:0H-index:0
    Ryuzo Tanaka
    Ryuzo Tanaka
    Central Research Laboratories, Idemitsu Kosan Company Ltd
    论文:5引用:0H-index:0
    Hiroshi Kobayashi
    Hiroshi Kobayashi
    Japan Petroleum Energy Center
    论文:5引用:0H-index:0
    Teruo Suzuki
    Teruo Suzuki
    Japan Petroleum Energy Center
    论文:5引用:0H-index:0
    Satoru Chatani
    Satoru Chatani
    Regional Environment Conservation Division, National Institute for Environmental Studies
    论文:4引用:0H-index:0

    论文(182)

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    1Offshore Nanofluid Injectivity and Huff-n-Puff Field Trials in Japan
    J. Kumasaka, A. Goto, D. Ito, H. Kitagawa, M. Kashihara, S. Murakami
    2025IOR+ 2025 - 23rd European Symposium on IOR(2025)
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    2Functional Components in Low Salinity Waterflood Forming Micro-Dispersion Phase Via Fluid-Fluid Interaction in Carbonate Reservoirs
    Hideharu Yonebayashi,Takeshi Hiraiwa,Masaaki Tange,Abdalla Abdelfattah Abed, Hiroshi Yachi,Keita Katano,Teruo Suzuki

    Abstract Low salinity water (LSW) enhanced oil recovery (EOR) has gained more attention in carbonate reservoirs with a variety of mechanism hypotheses. Recent research focused on fluid-fluid interaction (FFI) during LSW injection, especially forming water micro-dispersion (MD) as a potential drivers of oil recovery improving mechanism in LSW EOR. This paper elucidates functional components in positive crude oil which showed high MD ration in FFI test and additional oil recovery in LSW core flood experiments. Four stock tank oil (STO) samples were collected from multiple sub-layers (L1, L2, L3, and U). Synthetic brine was prepared as LSW to mimic the sea water (SW) diluted to 1%. The FFI tests measured MD ratios, which represent water content increment caused by the oil-water interfacial chemical reactions, to screen positive oil for low-salinity effect. During the FFI, 3 types of sub-samples were collected as original oil, MD phase, and post-FFI oil. Each sample was fractionated to 7 compositions: Saturates, 1-/2-/3+-ring Aromatics, Polar Resins, Poly Aromatic Resins, and Asphaltenes. Subsequently, all composition were investigated by Fourier-transform ion cyclotron resonance mass spectrometer (FT-ICR MS) to find out functional components. Based on MD ratios, three of four STOs were selected as the candidates for FT-ICR MS analysis. STO-L2 and STO-L3 were categorized as positive oil and partially positive oil, respectively. STO-U was picked out as negative oil because of the lowest MD ratio. Functional components, which are generally considered as surface-active components, are assumed to be predominantly contained in positive oil and MD sub-samples compared with negative oil and post-FFI oil, respectively. Therefore, two series of differential analysis were performed for: (a) a group of original oils (STO-L2 vs. STO-U); and (b) a group of positive oils (STO-L2, MD fluid, and post-FFI oil) using the double-bond-equivalent (DBE) vs. carbon number (CN) plot. The differential analysis of positive/negative oils revealed that asphaltenes in positive oil consisted of higher DBE composition. Noticeable differences were observed for asphaltenes and polar resins in a series of positive oil during FFI test. Higher DBE asphaltenes moved from the original oil to MD phase, while majority of polar resins remained in the post-FFI oil. In general, asphaltenes are stabilized with being surrounded by resins. However, analysis result suggests that surrounding polar resins were detached from asphaltene by the interaction between LSW and asphaltenes’ surface-active components. This may result in decreasing polar resins in MD phase. The study demonstrates the change in chemical composition of crude oil depending on positive oil characteristic or contact by LSW. These compositional differences provide us with important clues about the FFI mechanism of LSW through which further oil recovery may be achieved. Deployment of FT-ICR MS analysis elucidated functional components such as higher DBE asphaltenes which might promote the spontaneous formation of water-in-oil micro-dispersion at the oil/LSW interface.

    2024SPE Improved Oil Recovery Conference(2024)
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    3New Data Processing Method for Heavy Oil Components Analyzed by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry
    Keita Katano,Teruo Suzuki, Kotaro Matsumoto, Hiroshi Kato,Koyo Norinaga

    A data processing method to automatically assign molecular formulae and correct the abundances was devel-oped and used to improve the reliability and quantitative accuracy of data obtained via Fourier transform ion cyclotron resonance mass spectrometry. The technique was utilized to analyze fractions of atmospheric residue, and assigned molecular formulae for each fraction. The algorithm automatically identified nearly 20,000 heavy oil components. The reliability of the data processing technique was demonstrated by absolute mean mass errors in the range of 0.15-0.23 ppm. Distillation simulation was used to correct the abundances of assigned molecular formulae. The distillation properties were estimated from the molecular formulae, and corrections made to match the simulated results within 1 wt%. The correction factor indicated that lower boiling point components tended to require higher correction factors, suggesting that the ion transport efficiency of the instrument becomes lower in the lower molecular weight region.

    2023JOURNAL OF THE JAPAN PETROLEUM INSTITUTE(2023)引用:1
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    4The Asphaltene Stability Evaluation Based on Results of Molecule Analysis for Our Oil Field Sample Through "petroleomics" Technology
    Katsumo Takabayashi,Teruo Suzuki
    2023Journal of the Japanese Association for Petroleum Technology(2023)
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    5A Data-Driven Hyperspectral Method for Sampling of Diagenetic Carbonate Fabrics
    Gaurav Siddharth Gairola,Samuel T. Thiele,Pankaj Khanna,Ahmad Ramdani,Richard Gloaguen,Volker Vahrenkamp
    2023
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    合作机构(73)

    日本自动车研究所合作论文 12
    东北大学(日本)合作论文 10
    丰田合作论文 9
    出光興産合作论文 9
    日产合作论文 8
    九州大学合作论文 7
    日野汽車股份有限公司合作论文 6
    费萨尔国王石油与矿业大学合作论文 6
    国立先进工业科学技术研究院合作论文 6
    东京大学合作论文 6

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