Updated on 2025/03/13

写真a

 
FURUI, Kenji
 
Affiliation
Faculty of Science and Engineering, School of Creative Science and Engineering
Job title
Professor
Degree
B.S. ( Waseda University )
M.S. ( University of Texas at Austin )
Doctor of Philosophy ( University of Texas at Austin )

Research Experience

  • 2021.04
    -
    Now

    Waseda University   School of Creative Science and Engineering   Professor

  • 2021
    -
    Now

    Akita University   Part-time lecturer

  • 2015.04
    -
    2021.03

    Waseda University   School of Creative Science and Engineering   Associate Professor

  • 2014.08
    -
    2015.03

    ConocoPhillips   Global Completion Engineering   Staff Completion Engineer

  • 2012.08
    -
    2014.08

    ConocoPhillips Norway   Well Operation   Completion Geomechanics Engineer

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Education Background

  • 2001.08
    -
    2004.05

    The University of Texas at Austin   Petroleum Engineering  

  • 2000.08
    -
    2001.08

    The University of Texas at Austin   Others   Petroleum Engineering  

  • 1995.04
    -
    1999.03

    Waseda University   Faculty of Engineering  

Committee Memberships

  • 2024.09
    -
    Now

    Akita City (Akita)  Member of the Akita City Abandoned Oil Well Closure Project Special Committee

  • 2024.07
    -
    Now

    Ministry of the Environment  Committee Member of the Monitoring Subcommittee for the Environmentally Conscious CCUS Demonstration Base and Supply Chain Development Project

  • 2024.06
    -
    Now

    Ministry of Economy, Trade and Industry  Temporary Member of the Industrial Structure Council

  • 2024.05
    -
    Now

    Ministry of the Environment  Committee Member of the Subcommittee for Comprehensive Discussion on Ensuring Appropriate Subsea CCS Implementation for Marine Environmental Conservation

  • 2023.11
    -
    Now

    JOGMEC  Member of the Hydrogen Business Advisory Committee

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Professional Memberships

  • 2021.10
    -
    Now

    International Society for Rock Mechanics and Rock Engineering

  • 2021.10
    -
    Now

    American Rock Mechanics Association

  • 2021.01
    -
    Now

    European Geosciences Union

  • 2021.01
    -
    Now

    American Geophysical Union

  • 2017
    -
    Now

    The Japan Petroleum Institute

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Research Areas

  • Earth resource engineering, Energy sciences

Research Interests

  • Carbon dioxide Capture and Storage (CCS)

  • Numerical simulation

  • Well performance analysis

  • Hydraulic fracturing

  • Well Stimulation

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Awards

  • Cedric K. Ferguson Medal

    2013.10   Society of Petroleum Engineers  

  • SPE Young Engineer of the Year Award

    2012.10   Society of Petroleum Engineers - Gulf Coast Section  

  • Technology Achievement Award

    2011.09   ConocoPhillips  

  • SPE Young Professional Paper Certificate Recipient, SPE ATCE, 2nd Annual YP Paper Contest, best paper written primarily by a YP in the Well Completions category

    2009.09   Society of Petroleum Engineers  

  • Outstanding Young Scientist Award

    2009.09   ConocoPhillips  

 

Papers

  • A phase-field modeling study for reaction instability and localized fluid flow in carbonate rocks

    Kenji Furui, Keita Yoshioka

    Geoenergy Science and Engineering    2025.02

    DOI

    Scopus

  • Analysis of Fluid-Injection-Induced Seismicity Using a Dynamic Sliding Model Incorporating the Rate- and State-Dependent Friction Law

    Satoshi Ito, Kenji Furui, Kimikazu Tsusaka

    SPE Journal    2024.04

    DOI

    Scopus

  • Machine-Learning-Assisted Modeling of Diverting Agent Performance for Multiple Fracture Propagation

    Chin Hsiang Chan, Kenji Furui, Shusaku Mandai, Setsuka Kuwagaki, Yuuya Kanamori, Yasuhiro Hirano

    SPE Annual Technical Conference and Exhibition, Houston, Texas, USA, October 2022    2022.09

    Authorship:Corresponding author

     View Summary

    Abstract

    This study discusses the development of a diverting agent (DA) performance prediction model for simultaneous hydraulic fracture propagation based on numerical and machine learning approaches. The filtrate capacity of a particulate DA plug was quantified by the filtrate coefficient obtained from the analyses of past filtrate experimental data, with a parametric study performed to evaluate the influence of the filtrate coefficient on multiple fracture propagations.

    We developed a wellbore-fracture coupled model that considered filtration by a DA for multiple hydraulic fractures. The proposed model solved flux redistribution and simultaneous fracture propagation after diversion. The filtrate performance of the DA can be adjusted and controlled by the filtrate coefficient. Furthermore, we developed a prediction model using a machine learning approach to evaluate the performance of the DA. The model was constructed using four different algorithms: MLP, SVC, RF, and AdaBoost, with each model evaluated and compared using five evaluation indicators. Furthermore, a feature importance analysis was conducted to assess the contribution of the experimental parameters employed in this study.

    The numerical modeling results were validated against the analytical solutions for a plane-strain Khristianovic– Geertsma de Klerk (KGD) model. A series of numerical simulations were conducted to investigate the multi-fracture growth patterns under different filtrate coefficients during fracturing treatments. The parametric study showed that a DA based on Butane-diol vinyl alcohol co-polymer had sufficient filtration capacity, equivalent to that of ball sealers when the filtration coefficient was less than 10 [mL/min0.5], with almost no filtrate capacity when the filtration coefficient was over 1×10⁶[mL/min0.5]. As for the machine learning models, all models showed over 80% model scores; however, the RF and AdaBoost models, which are ensemble learning algorithms, provided better performance in terms of the five evaluation indicators compared to the other two models. Through the feature importance analysis, we calculated the contribution of each experimental parameter to the filtrate performance of DA.

    The results of this study clearly demonstrate the influence of the filtrate coefficient on the diversion process. To the author's knowledge, this study is the first published paper to link the filtrate coefficient and actual multifracture propagation. The DA process developed in this study helps evaluate the diversion performance of particulate diverting agents. Furthermore, the machine learning model clarified the ambiguous performance evaluation of DA and enabled the prediction of the DA filtrate performance from complicated physical and chemical processes.

    DOI

  • Formation Failure Analysis for Longitudinally Fractured Horizontal Wells Completed by Multistage Fracturing Sleeves

    Kenji Furui, Junjing Zhang, Nola R. Zwarich, Eric R. Davis

    SPE Annual Technical Conference and Exhibition, Houston, Texas, USA, October 2022    2022.09

    Authorship:Lead author, Corresponding author

     View Summary

    Abstract

    This study reviewed the formation failure analysis of horizontal wells completed with both cemented and uncemented multistage fracturing sleeves to evaluate the risk of sand production and formation failure in a sandstone and mudstone interbedded reservoir. Consequently, the effects of increased confining stresses caused by fracture creation and proppant placement inside a hydraulically created longitudinal fracture were investigated. In addition, a parametric study was performed for different types of fracturing sleeves to determine the optimum flow port designs for reducing the formation failure potential.

    A 3D elastoplastic finite element method (FEM) model was developed for horizontal wells completed using fracturing sleeves. Reservoir rock constitutive model was obtained through several triaxial compression tests performed on the reservoir cores. The FEM model considered various loading steps, including in-situ stress, overbalanced drilling, fracture creation, reservoir depletion, and drawdown during production. Moreover, the onset of formation failure was judged based on the critical plastic strain determined from the triaxial compression test data and compared for different fracture and sleeve designs.

    The formation failure potential of a horizontal borehole with various completion designs was evaluated through a case study. A significant reduction in potential of formation failure for cased hole completions was observed, and the maximum allowed reservoir pressure depletion before formation failure depended on the rock strength, direction of reservoir inflow, drawdown pressure, and other factors. Similar to the oriented perforation design, the flow port location significantly affected the stability of the formation in the vicinity of the sleeve. The flow ports located in the upward and downward directions delayed the onset of formation failure, while closely spaced flow ports covering the entire circumference of the wellbore substantially increased the formation failure potential. Further, excessive stress increases caused by fracturing and proppant placement resulted in large shear stress and resultant plastic strain development at the connection between the longitudinal fracture and borehole. Openhole completions where the fracture is misaligned with the wellbore have the same risk of formation failure at the flow port as that of the cemented sleeve completions. Moreover, there is an additional risk of formation failure of the uncemented wellbore. In the idealistic case, wherein the fracture is completely aligned with the wellbore, large plastic strains develop at the sidewalls of the horizontal openhole wellbore. The difference in the formation failure tendency between the cased hole and openhole completions may affect post-failure well productivity, depending on the type of debris after failure and its size relative to the sleeve port size.

    The results presented in this work demonstrate that the onset of formation failure is mainly determined by rock strength, reservoir pressure support, drawdown pressure, completion design and other factors. Cemented frac sleeve completion is necessary when the wellbore is widely exposed to weak, water-sensitive formations, which tend to fail during the early flowback period. Further, in openhole completions, the weak intervals must be mechanically isolated such that the failed rock debris in the annulus between the open hole and production liner does not plug the sleeve ports. In addition, the formation failure potential was elevated owing to the longitudinal fracture creation along the wellbore. The findings from this study provide critical inputs for optimizing lower-completion designs and achieving long-term solid-free production in fractured horizontal wells in moderately consolidated sandstone reservoirs.

    DOI

  • Study on optimization of loss prevention material using CFD-DEM coupling model

    Koki Nakamura, Kenji Furui

    Journal of the Japanese Association for Petroleum Technology   87 ( 5 ) 400 - 401  2022.09  [Refereed]

    Authorship:Last author, Corresponding author

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Books and Other Publications

  • Modern Completion Technology for Oil and Gas Wells

    Ding Zhu, Kenji Furui( Part: Joint author)

    McGraw-Hill Education  2018.06

Presentations

  • Geomechanics Analysis for Well Construction and Completion Design Options

    Kenji Furui  [Invited]

    The 21st Formation Evaluation Symposium of Japan  Japan Formation Evaluation Society – A Chapter of SPWLA

    Presentation date: 2015.10

  • Water Injection Performance in Shallow, Viscous Oil, Waterflood: Alaskan North Slope

    Kenji Furui  [Invited]

    SPE ATW Performance and Design of Seawater Injectors Requiring Sand Control  (Austin)  SPE

    Presentation date: 2011

  • Matrix Acid Stimulation of ConocoPhillips’ Chalk Reservoirs in Norway

    Kenji Furui  [Invited]

    SPE ATW North Sea and European Area Stimulation  (Berlin)  SPE

    Presentation date: 2011

  • Finite Element Simulation of Flow to Perforated Horizontal Wellbores

    Kenji Furui  [Invited]

    Seventh SIAM Conference on Mathematical and Computational Issues in the Geosciences  (Austin)  SIAM

    Presentation date: 2003

 

Syllabus

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Sub-affiliation

  • Faculty of Science and Engineering   Graduate School of Creative Science and Engineering

Research Institute

  • 2022
    -
    2024

    Waseda Research Institute for Science and Engineering   Concurrent Researcher

  • 2022
    -
    2024

    Waseda Center for a Carbon Neutral Society   Concurrent Researcher