The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

The 29th Formation Evaluation Symposium of Japan
Special Session: DX (Digital Transformation)
Technical Program
General schedule
September 12, 2024
9:00-17:10

Day-1 Symposium & General meeting
Venue: JOGMEC-Technology & Research Center
1-2-2 Hamada, Mihama-ku, Chiba-shi, Chiba

18:00 – 20:00

30th Anniversary Banquet
Venue: The Manhattan Hotel
2-10-1 Hibino,Mihama-ku Chiba-shi,Chiba

September 13, 2024
9:00-17:00

Day-2 Symposium
Venue: JOGMEC-Technology & Research Center

JFES
Japan
Formation Evaluation
SocietySponsored by

Japan Formation Evaluation Society – A Chapter of SPWLA

Cosponsored byTechnology & Research Center, Japan Organization for Metals andEnergy Security

Supported by

Japanese Association for Petroleum Technology
Society of Exploration Geophysicists of Japan
Society of Petroleum Engineers, Japan Section
The Geothermal Research Society of Japan

Sponsors

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The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

September 12th
8:30 –

Registration

Opening
9:00 - 9:05

Opening and Safety Briefing
Yoshinori Sanada (Vice president of technology of JFES)

9:05 - 9:10

Opening Address
Masatoshi Nishi (President of JFES; INPEX CORPORATION)

Technical Session 1
Chairperson:

Chair: Yuki Maehara (SLB), Co-Chair: Taisuke Mizunaga (MOECO)

9:10 - 9:50

Invited talk 1 (online)
Domain based AI to accelerate subsurface decision making
Ashwin Venkatraman (Resermine)

9:50 – 10:10-A-

Application of Bagging Ensemble Machine Learning Models to Predict
Porosity of Sandstone Formations Using Well Log Data
Kushan Sandunil (Curtin University Malaysia)

10:10 – 10:30-B-

Learnings from 10 Years of Applications of a Probabilistic Approach to
Subsurface Modelling - Impact of Ensemble Modelling in Digital
Transformation
Sylvain Ducroux (Halliburton Landmark Reservoir Centre of Excellence)

Break
Technical Session 2
Chairperson:

Chair: Tomomi Ninomiya (SLB), Co-Chair: Takayuki Wada (WJEC)

10:40 – 11:00-C-

Application of machine learning in Downhole CO2 measurement using
Formation Tester
Nishant Kumar (Halliburton)

11:00 – 11:20-D-

Geomodelling for CCS: a bridge too far?
Lazar Raffik (GeomodL International)

11:20 – 11:40-E-

RPM-based petrophysical chacterization of a depleted gas reservoir using
the Adaptive Stiff Sand Model (ASSM) for possible CCUS applications
P. H. Giao (PetroVietnam University)

11:40 – 12:00-F-

Machine Learning-Based Classification for Mapping CO2 Presence using
Seismic Data
Debjyoti Das (Halliburton)

Lunch
General Meeting and Keynote Address
Chairperson:

Kentaro Hasebe (INPEX)

13:00 – 13:20

JFES General Meeting2The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

13:20 – 13:40

Keynote Address (Iulian Hulea, SPWLA President)

BreakTechnical Session 3
Chairperson:

Chair: Machiko Tamaki (JOE), Co-Chair: Kenji Osawa (GERD)

13:45 – 14:05-G-

2-Dimensional Upscaling Using Deep Learning
Yuho Kodama (Waseda University)

14:05 – 14:25-H-

Development of Numerical simulator for predicting Behavior of Closed-loop
Geothermal System
Rion Nakamoto (Waseda University)

14:25 – 14:45-I-

Development of Numerical Simulator Predicting Microbial Methane
Generation Behavior
Risako Kawamura (Waseda University)

Break
Technical Session 4
Chairperson:

Chair: Masatoshi Nishi (INPEX), Co-Chair: Lingdan Xia (SLB)

15:00 – 15:40

Invited talk 2
Navigating the Frontiers: Integrating Physics-based and Data-Driven
ModelsRyota Wada (The University of Tokyo)

15:40 – 16:10

Special talkContemplating Energy Issues: The History of Civilization and Our Future
Kosuke Furutachi (West Japan Carbon dioxide Storage Survey Co., Ltd.)

16:10 – 16:40

Anniversary Address 1
Education and Research for the New Generation in the Oil and Gas
Industry (temporary)
Hisanao Ouchi (Waseda Uuniversity)

16:40 – 17:10

Anniversary Address 2
Pathways to a carbon neutral society and the role of formation evaluation toachieving it
Koji Yamamoto (JOGMEC)

18:00 – 20:00

30th Anniversary Banquet
Venue: The Manhattan Hotel

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The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

September 13th
8:30 –

Registration

Technical Session 5
Chairperson:

Chair: Yoshinori Sanada (TAISEI), Co-Chair: Kenji Osawa (GERD)

9:00 – 9:40

Invited talk 3 (online)
Digitalization and AI’s role in advancing subsurface capability
Judson Jacobs (S&P Global (IHS))

9:40 – 10:20

Invited talk 4 (online)
Deep-sensing borehole electromagnetic measurements (UDAR)
Carlos Torres-VerdinVerdin (The University of Texas at Austin)

Beak
Technical Session 6
Chairperson:

Chair: Raffik Lazar (GeomodL International), Co-Chair: Takayuki Wada (WJEC)

10:40 – 11:00

Expanding The Use of Nuclear Magnetic Resonance (NMR) And Machine-J-

Learning for Reservoir Characterization of An Offshore Gas Field – RockTyping and Capillary Pressure Profiling
Abraham J.S. Simanjuntak (JX Nippon Oil and Gas Exploration (Malaysia) Ltd.)

11:00 – 11:20-K-

Integration of FPWD and LWD NMR Data to Derive Continuous
Permeability Log
Lei Zhang (SLB)

11:20 – 11:40-L-

First Application of 2D NMR Measurements Derived Reservoir
Characterization in Deep Coalbed Methane Reservoir in Sichuan Basin,
China
Lingdan Xia (SLB)

11:40 – 12:00-M-

Customized Wireline Acoustic Data Acquisition and Processing at
Unconsolidated Formation
Lingdan Xia (SLB)

Lunch
Technical Session 7
Chairperson:

Chair: Moe Kyaw (JAMSTEC), Co-Chair: Machiko Tamaki (JOE)

13:00 – 13:40

Invited talk 5
Revolutionizing Core Analysis: Early-Stage Rock Facies Definition throughUnsupervised Machine Learning and Comprehensive Digital Core Logging
Data
Christophe Germay (EPSLOG SA)

Beak
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The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

Technical Session 8
Chairperson:

Chair: Yasuhiro Yamada (Kyushu University), Co-Chair: Taisuke Mizunaga(MOECO)

13:50 – 14:10-N-

Improved Data-Driven Method for the Prediction of Elastic Properties in
Unconventional Shales from SEM Images
Deepak Devegowda (University of Oklahoma)

14:10 – 14:30-O-

Pore system evaluation of a basaltic reservoir by comprehensive laboratory
analyses
Tetsuya Yamamoto (Japan Petroleum Exploration Company)

14:30 – 14:50-P-

A novel approach to CO2 geological storage and mineralization using
bio-based biodegradable chelating agents
Jiajie Wang (Tohoku University)

14:50 – 15:10-Q-

Experimental Studies on Cement Grout EOR
Yuchen Liu (Waseda University)
Present Student Awards

BeakTechnical Session 9
Chairperson:

Chair: Kian Wei Tan (Halliburton), Co-Chair: Tsuyoki Fujii (GSC)

15:30 – 15:50-R-

Integrating The Multi-Scale 3D Measurement Acquired in Horizontal Wellin Complex Early Jurassic Middle Marat Carbonate Formation
Saad A H S Alajmi (Kuwait Oil Company)

15:50 – 16:10-S-

Real-time Flowline Compressibility Changes as a Catalyst for Advanced
Petrophysical Interpretation in Thin-Bedded Pay
Anton Kozlov (Dragon Oil)

16:10 – 16:30-T-

Advanced Borehole Image Displays in Crust-Mantle Transition
Chiaki Morelli (SLB)

16:30 – 16:50-U-

Importance of Logging and Digital Transformation in the Scientific Ocean
Drilling
Kyaw Moe (JAMSTEC)

Closing
16:50 – 17:00

Closing
Yoshinori Sanada (Vice president of technology of JFES)

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The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

Welcome to the JFES Symposium – 30 years anniversary!!
My name is Masatoshi Nishi from INPEX corporation. I am currently serving as a President of JFES,
Japan chapter of SPWLA. Today, I am very pleased to announce that we will hold the 29th Formation
Evaluation Symposium at JOGMEC TRC, Chiba-city, Japan. I would like to welcome all of you tojoin the symposium.
Energy Transition is inevitable, just a matter of when. At the same time, hydrocarbon energy willcontinue to serve as a part of energy supply, even in 2050 onwards. There is not much easy reserve left
to develop. In addition, decarbonization process must be there, but economical. That is what I see.
In this situation, the importance of subsurface technical evaluations remains not just the same, but also
more efficient. We need to consider all available technology to apply in the market, as well as outcome
from R&Ds.
So this year, we are back to set the theme of “Digital Transformation” for this reason. There are many
approaches or efforts in the world to be able utilize for our current work.
The invited speakers this time are so diverse, from academia, corporate and government agent, i.e.
University of Texas – Austin, University of Tokyo, Waseda University, S&P global, WEST, JOGMEC,
Resermine, EPSLOG SA and SPWLA-HQ. I hope you can enjoy the wide range of talks fromrespective experts in the world.
And 2024 is the 30 years anniversary for JFES. I like to thank all of people involved for our 30 yearsof journey. Unfortunately, we are not able to gather everyone here, but we plan to have an appreciation
gathering tonight for all of you here today. Please join us later.
I also like to express my thankfulness to board members and supporting staff, who have spent dedicatedtime for planning, arranging, preparing and executing the event.
Lastly, I wish everyone continued success and good health. Let’s Enjoy the show ahead.
Best regards,
Masatoshi Nishi
President of JFES - Japan Chapter of SPWLA
September 12, 2024

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The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

Invited Talk 1

Domain based AI to accelerate subsurface decision making
Ashwin Venkatraman (Resermine)
Abstract
AI/ML powering data driven models is becoming a key differentiation to unlock higher recoveries
from existing fields as well as identify new opportunities globally. The availability of data anddemocratization of these advanced algorithms is changing the landscape of subsurface workflows –helping create as well as improve existing ones. We are in an exciting phase in the industry where
access as well as ease of using these advanced tools is transforming decision making in organizations.
ML models by themselves are not effective for particularly for subsurface, given the heterogeneities,
as they end up being trending models based purely on data. More so, the use of pure ML models inreservoir engineering applications can lead to basic inability to capture the basic production declines
as because these are typically embedded by physics-based models. Additionally, oil and gas
reservoirs are characterized by heterogeneities and compartmentalization so that ML models, createdfor one part of the reservoir, are also not capable of generalizing to other parts of the reservoir.
In this talk, we present how domain led ML can overcome such shortcomings. We present several
successful examples of coupling domain led reduced physics models with ML that help generalize
and capture inherent physics associated with subsurface. This opens up possibilities for organizations
to accelerate existing and automate subsurface workflows to transform decision making.
Biography
Dr. Ashwin Venkatraman is the Founder and CEO of Resermine, a nicheaward-winning oil and gas technology company (MOST Promising at
OTC 2018). Dr Venkatraman and his team have pioneered hybrid
models that address limitations of data-driven models. He is therecipient of the inaugural SPE International Technical Award in Data
Science and Engineering Analytics at SPE ATCE 2021 held in Dubai.
The award recognized his contributions to bringing hybrid workflowsthat combine AI/ML with traditional approaches to accelerate
subsurface decision making.

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The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

Invited Talk 2
Navigating the Frontiers: Integrating Physics-based and Data-Driven Models
Ryota Wada (Associate Professor, The University of Tokyo)
Abstract
Ocean utilization presents an engineering challenge as it involves confronting nature itself. Natural
phenomena are inherently irregular, and exploring uncharted territories in this field is akin to delving
into the unknown. Parameters essential for leveraging engineering expertise are not precisely
defined, and the data available for measurement is often limited.
To maximize the utilization of information obtained from both aspects, a promising approach
involves the fusion of data-driven models and physics-based insights. This lecture will focus on
drilling operations, highlighting the limitations when solely relying on physics-based simulations or
machine learning. Various integrated methods will be explored, providing insights into theintersection of physics-based and data-driven approaches. The presentation will conclude by
discussing future prospects in this dynamic and evolving field.
Biography
Ryota Wada is an Associate Professor in the Graduate School of Frontier
Sciences at the University of Tokyo. After completing his Bachelor's andMaster's degrees in School of Engineering at the University of Tokyo, hegained industry experience at Mitsubishi Corporation. Returning toacademia, he earned his Ph.D. in 2010 at the University of Tokyo. Since
then, he has served as a researcher dedicated to ocean technology. His
research is on the statistical & data science application to oceanengineering, with focus on exploration the extremes and uncertainties.

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The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

Invited Talk 3
Digitalization and AI’s role in advancing subsurface capability
Judson Jacobs (S&P Global (IHS))
Abstract
Advanced AI and digitalization solutions have been gaining traction and beginning to deliver
improved performance across the upstream value chain. Despite their reputations as early adoptersof digitalization, subsurface and petrotechnical domains have been more measured in theirapplication of these advanced tools. In what subsurface and petrotechnical segments does thegreatest value lie, how are companies pursuing these opportunities, and what are some early industryleading examples?
Biography
Judson Jacobs is a Managing Director with S&P Global’s Commodity
Insights energy division. In this role he leads the company’s energy
technology and innovation group, bringing together company strategies,
technology and innovation developments, and government and policy
perspectives to deliver insights into the current state of the industry andfuture directions. Recent research includes the emergence of commercial
models for carbon management, finding the balance between oil & gas andnew energy, and the role of AI in enabling and accelerating the energy
transition. Prior to joining S&P Global, Mr. Jacobs worked as amanagement consultant with the Mitchell Madison Group and held senior
engineering positions with Schlumberger and Anadarko Petroleum
Corporation. He earned a BSE from Princeton University and an MS in
Geology from Stanford University.

9The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024
Invited Talk 4

Deep-sensing borehole electromagnetic measurements (UDAR)
Carlos Torres-VerdinVerdin (The University of Texas at Austin)
Abstract
We summarize our recent algorithmic and software developments concerning the rapid modeling and inversion of
borehole UDAR measurements. The algorithms are designed for their efficient implementation on multi-CPU
computer clusters. Modeling is performed via a finite-volume implementation of Maxwell’s equations with a selfadaptable Lebedev grid for efficient and accurate assimilation of arbitrary electrical conductivity anisotropy,
operating frequency, and coplanar-coaxial transmitter-receiver couplings. Inversion is carried out using both
deterministic and stochastic inversion methods which explicitly render estimates of the uncertainty of inversion
results. Determinist inversion methods are implemented with gradient-based strategies where the Jacobian matrix
is efficiently calculated and updated by the modeling algorithm, while stochastic inversion methods are
implemented with multi-grid and multi-resolution simulating annealing procedures. The inversion method
progressively increases the complexity (dimensionality) of the estimated spatial distribution of anisotropic
electrical conductivity around the well trajectory in the natural sequence 0D-1D-2D-3D stemming from localized
dimensionality of both measurement and model complexity. Verifications of the new rapid modeling and inversion
methods are performed with both challenging synthetic models inspired by field data, and field measurements
acquired in the North Sea. It is found that the inversion algorithms are efficient, stable, and reliable; they enable
the automatic control of model complexity vs. measurement complexity when estimating spatial distributions ofanisotropic electrical conductivity around the well trajectory.
Biography
Carlos Torres-Verdín received a BSc degree in Engineering Geophysics from the
National Polytechnic Institute of Mexico, a MSc degree in Electrical Engineeringfrom the University of Texas at Austin, and a PhD degree in Engineering Geosciencefrom the University of California at Berkeley in 1991. During 1991-1997, he held
the position of Research Scientist with Schlumberger-Doll Research. From 19971999, he was Reservoir Specialist and Technology Champion with YPF (Buenos
Aires, Argentina). Since 1999, he has been affiliated with the HildebrandDepartment of Petroleum and Geosystems Engineering of the University of Texas atAustin, where he is currently Full Professor, holds the Brian James Jennings
Memorial Endowed Chair in Petroleum and Geosystems Engineering, and conducts
research on borehole geophysics, formation evaluation, petrophysics, well logging,and integrated reservoir description. Dr. Torres-Verdín is the founder and director of
the Research Consortium on Formation Evaluation at the University of Texas atAustin, which has been in operation for 22 years and is currently sponsored by 19
companies. He has published over 250 refereed journal papers and over 250
10The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024
conference papers, two book chapters, co-authored one book, is co-inventor of 6
U.S. patents. Dr. Torres-Verdín is recipient of the 2020 Virgil Kauffman Gold Medalfrom the SEG, 2019 Anthony Lucas Gold Medal from the SPE, 2017 Conrad
Schlumberger Award from the EAGE (European Association of Geoscientists andEngineers), 2014 Gold Medal for Technical Achievement from the SPWLA, 2008
Formation Evaluation Award from the SPE, 2006 Distinguished TechnicalAchievement Award from the SPWLA, Distinguished Member of the SPE, andHonorary Member of the SEG. He also received the 2003, 2004, 2006, and 2007
Best Paper Awards in Petrophysics (SPWLA), 2020 Best Paper Award published inGeophysics, 2006 and 2014 Best Presentation Awards and the 2007 Best Poster
Award by the SPWLA. Dr. Torres-Verdín has supervised 39 PhD and 47 Master’s
students, conducted numerous industry training courses, co-chaired several
technical workshops and conference sessions, and has served as member of multiple
SPE, SPWLA, and SEG committees in the past.

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The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

Invited Talk 5
Revolutionizing Core Analysis: Early-Stage Rock Facies Definition through Unsupervised
Machine Learning and Comprehensive Digital Core Logging Data
Christophe Germay, EPSLOG SA
Abstract
In the evolving landscape of core analysis, the advent of continuous high-resolution, crossdisciplinary digital core logs accessible immediately upon barrel opening marks a significant
advancement. This study introduces a novel approach leveraging unsupervised machine learning toamalgamate digital core logs into distinct rock facies. Case studies demonstrate that subsamples
selected within each facies consistently exhibit constrained properties across geological,
mineralogical, geomechanical, and petrophysical dimensions. This low variability underscores theeffectiveness of the methodology in capturing the intrinsic characteristics of each individual
lithostratigraphic unit.
The identification of facies characteristics and their spatial distributions within the stratigraphicalcolumn prior to the initiation of subsampling facilitates a more informed and selective approach tosubsampling, thereby reducing redundancy and focusing analytical resources on the mostinformative segments of the core.
Furthermore, once a facies is adequately characterized by the relevant properties, the continuous,
high resolution core logs enable a robust upscaling of these characteristics along the entire core
length. This capability results in the generation of calibrated core logs that accurately reflect thevariations of valuable properties. The accuracy and reliability of these calibrated logs areunderscored by their robust applicability in coordination with wireline logs. Such seamlessintegration of core and wireline logs not only enhances the precision of subsurface models but also
provides a solid foundation for advancing our understanding of subsurface heterogeneity.
In conclusion, the integration of continuous high-resolution core logging data through unsupervisedmachine learning models to define rock facies represents a disruptive shift in core analysis. Thismethodology not only optimizes the subsampling process but also ensures the generation ofcalibrated core logs that can be confidently used alongside wireline logs for comprehensive
subsurface characterization. Our findings advocate for a more integrated, efficient, and accurate
approach to core analysis, paving the way for future research and applications in the field of
underground resource evaluation for various industry sectors.

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The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

Biography
Dr. Christophe Germay is an active figure in the field of core analysis,
serving as both the co-founder and CEO of Epslog since its inception in2005. His current endeavors are centered on the enhancement oftechnologies for the acquisition of high-quality core-based data and therefinement of core digitalization processes tailored for machine learning
applications. Holding a Bachelor of Science degree in Physics from the
University of Liège, Belgium, Dr. Germay furthered his education witha Master of Science degree in Civil Engineering from the University of
Minnesota. During his tenure at the University of Minnesota, he was
exposed to the innovative scratch test technology, a pioneering methodin the field. His academic achievements culminated in a joint PhD fromthe University of Liège and the University of Minnesota, solidifying his
expertise in the field and his commitment to advancing core analysis
technology.

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The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

Special talkContemplating Energy Issues -The History of Civilization and Our Future
Kosuke Furutachi (West Japan Carbon dioxide Storage Survey Co., Ltd.)
Abstract
What does it mean to think about energy issues? By unraveling the history of the development of
human civilization from the perspective of energy use, beginning with the acquisition of fire, the talkwill reveal how modern society is dependent on massive energy consumption. The talk will thentouch upon the scientific characteristics of energy and consider how to respond to energy issues,
while exploring the nature of the debate over energy issues.
Biography
Kosuke Furutachi is the president of West Japan Carbon dioxide Storage
Survey Co., Ltd., which is the Special Purpose Company among ENEOS,JX Nippon Oil and Gas Exploration, and J-Power. He graduated from the
Department of Applied Chemistry, Faculty of Science and Technology,
Keio University in 1994. He joined Nippon Oil Corporation (nowENEOS) and has been engaging in a wide range of oil and gas businesses
from downstream to upstream. Through his work in the energy industry,
he became interested in the relationship between growth of energy
consumption and development of human society. Since then, he has madeit his lifework to think about why humans consume so much energy andwhat energy means. He is the author of the best-selling “A Long Journey
Concerning Energy -The History of Civilization and Our Future-”, Eiji
Press, 2021.

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The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

Anniversary Address 1
Education and Research for the New Generation in the Oil and Gas Industry
Hisanao Ouchi (Waseda Uuniversity)
Abstract
In recent years, oil and natural gas development is expected to gradually decline in the trend thatsociety as a whole moves toward carbon neutrality. At the same time, however, the energy transition
will not be rapid, and although forecasts vary widely, many scenarios predict that oil and natural gas
will continue to be a necessary energy source for society at a certain rate for at least the next 20 to
30 years. Under these circumstances, in order to meet society's demands for both more efficient
production of oil and natural gas and geological storage of emitted carbon dioxide, and to provide
energy in a sustainable manner, the technology for accurately understanding subsurface fluid flow(precise reservoir modeling and quantitative evaluation through reservoir simulation), which has
been developed over many years in the oil and gas development industry, will continue to be neededin the future.
Universities, as one of the institutions that can provide specialized education in energy resource
development, need to continuously train engineers to solve future energy problems bycommunicating the necessity and importance of these technologies to students through classes, andby having students work on advanced reservoir simulation technology and various issues of carbon
dioxide geological storage through research in laboratories. This presentation will consider the futurerole and challenges for universities in the field of underground energy.
Biography
Hisanao Ouchi is a professor in Department of Resources andEnvironmental Engineering at Waseda University. He worked for Japan Oil
Engineering Co., Ltd. for 25 years before joining Waseda University. His
research interest includes numerical simulation, IOR for both conventional
and unconventional resources, CCS, and MH engineering. He holds BS andMS degrees in geosystem engineering from the University of Tokyo and a
PhD degree in petroleum engineering from the University of Texas atAustin.

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The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

Anniversary Address 2
Pathways to a carbon neutral society and the role of formation evaluation to achieving it
Koji YAMAMOTO (Japan Organization for Metals and Energy Security (JOGMEC))
Abstract
To achieve a carbon neutral society and energy security simultaneously, knowledge of the Earth Crustand physical phenomena happening there is essential. All technologies and processes aimed atachieving zero emissions, such as minimizing the environmental impact of hydrocarbon production,
reducing emissions of greenhouse gases (GHGs) and other pollutants from exploration andproduction (E&P) operations, carbon capture and storage (CCS), geotechnical surveys for renewableenergies, and exploration and storage of natural hydrogen, rely on accurate information about thegeology, physics, and chemistry of the Earth's crust. Formation evaluation techniques developed foroil and gas exploration can be adapted to provide this information.
While there are many similarities between E&P (Exploration and Production) and carbon-neutral
technologies, there are also key differences in focus and priorities. For CCS (Carbon Capture andStorage), safety and long-term stability (over 100 years) of stored CO2 are paramount. This requiresa deep understanding of geomechanics, including stress states and fault conditions, as well as CO2
trap mechanics like solubility, residual gas, and mineral trapping. Additionally, target formations forCO2 storage, especially saline aquifers, are generally shallower than oil reservoirs and can be
unconsolidated or weakly consolidated, presenting unique challenges compared to traditional
reservoir rocks. Formations of interests for renewables such as geothermal and offshore wind are far
different. Therefore, alongside leveraging existing E&P technologies, development of newtechnologies specifically suited for such new fields will be necessary.
The most important difference I feel is the stakeholder of the project, because public acceptance ofsuch new technologies are essential, and information for safety and longer-m stability should be
provided to stakeholders including public.
In my talk, current strategy of Japan and ideas over key technical features focusing on the formation
evaluation to realize the strategy will be presented.
Biography
Koji YAMAMOTO is the vice president of Japan Organization for Metals
and Energy Security (JOGMEC) in charge of technologies of Energy
Business Unit. His background is petroleum geomechanics and he has
worked for several geomechanics-related projects such as borehole stability
studies for oil fields in the Middle East, Southeast Asia and Japan, hydraulicfracturing simulation, and stress evaluation. He received Ph.D. degree at
Tohoku University for acoustic propagation in poro-elastic media.
Carbon neutral technologies such as CCS and low carbon fuels such as
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The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024

hydrogen and ammonia are current area of his interests. He was awarded as
the best presentation awards of annual symposiums, Japan Formation
Evaluation Society in 2005 and 2019.

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