SYMPOSIUM ON

Energy Transition – Concepts, Opportunities & Challenge

&

WORKSHOP ON

Applied Statistical Modeling & Data Analytics for Petroleum Engineering & Related Applications

Organized by Department of Chemical Engineering, IIT Guwahati & SPE IIT Guwahati Student Chapter

November 21-24, 2022

Announcements

  |   Last Date of Registration: 15 18 Nov, 2022 (Extended)   |     |   Workshop Brochure Click Here   |   Symposium Brochure Click Here

About IIT Guwahati

Indian Institute of Technology Guwahati, the sixth member of the IIT fraternity, was established in 1994. The academic programme of IIT Guwahati commenced in 1995. At present the Institute has eleven departments and twelve inter-disciplinary academic centres and schools covering all the major engineering, science and humanities disciplines, offering BTech, BDes, MA, MDes, MTech, MSc and PhD programmes. Within a short period of time, IIT Guwahati has been able to build up world class infrastructure for carrying out advanced research and has been equipped with state-of-the-art scientific and engineering instruments.Indian Institute of Technology Guwahati's campus is on a sprawling 285 hectares plot of land on the north bank of the river Brahmaputra around 20 km. from the heart of the city. With the majestic Brahmaputra on one side, and with hills and vast open spaces on others, the campus provides an ideal setting for learning. (.. more)

About Department of Chemical Engineering

Department of Chemical Engineering at Indian Institute of Technology Guwahati started functioning in 2002. The department is a major academic host offering B. Tech., M. Tech., and Ph. D. in Chemical Engineering. Currently, department offers two specializations in the M.Tech. degree course , viz. Petroleum Science and Technology & Materials Science and Technology. The faculty members of the department are working in traditional Chemical Engineering and interdisciplinary domains ranging from petroleum engineering, nanotech- nology, bio-engineering, complex fluids to molecular simulations. The department is endowed with young, vibrant and dynamic faculty well qualified to impart high quality teaching and research in Chemical Engineering. (.. more)

About the Workshop

Summary of the Workshop:
This workshop will provide a hands-on introduction to statistical modeling and big data analytics for petroleum engineering and related applications. Topics to be covered include: (a) easy-to-understand descriptions of the commonly-used techniques, (b) case studies demonstrating the applicability, limitations and value-added proposition for these methods, and (c) hands-on problems sessions using open-source software. This class will arm engineers and scientists with advanced capabilities to extract new insights from subsurface and surface datasets representing oil/gas and other projects involving fluid flow. Some typical applications include: (a) learning hidden patterns and relationships in large multivariate datasets, (b) determining factors responsible for separating good performers from poor ones, (c) building fast surrogate models that can substitute physics-based models for repetitive calculations, and (d) assisting in predictive maintenance by identifying failure inducing conditions from historical records.

Learning Outcomes
Participants will learn to: 1.Apply foundational concepts in probability and statistics for basic data analysis.
2. Perform linear regression for building simple input-output models.
3. Conduct multivariate data reduction and clustering for finding sub-groups of data that have similar attributes.
4. Apply machine learning techniques for regression and classification for developing data-driven input-output models.
5.Converse with confidence about big data, data analytics and machine learning terminology and fundamental concepts, and critique statistical modeling and data analytics studies.

Who Should Attend:
This course is designed for post-graduate (and senior undergraduate) students in petroleum/chemical engineering and earth science, as well participants from the industry, who are interested in becoming smart users of statistical modeling and data analytics.


Workshop Broucher Course Content

About the Workshop Instructor

Dr. Srikanta Mishra

Honorary Faculty, Chemical Engineering, IIT Guwahati

Technical Director, Geo-Energy Modeling & Analytics, Battelle Memorial Institute

Dr. Srikanta Mishra is Technical Director for Geo-energy Modeling & Analytics at Battelle Memorial Institute, the world’s largest not-for-profit private R&D organization. He is also the Technical Lead for US Department of Energy’s SMART Initiative (Science-informed Machine Learning for Accelerating Real-time Decisions for Subsurface Applications).

He is a recognized expert on integrating computational modeling and machine-learning assisted data-driven modeling for various subsurface energy resource projects (e.g., geological carbon sequestration, oil and gas development, hydrogen underground storage).

He is the recipient of 2022 SPE International Award for Data Science and Engineering and the Society of Petroleum Engineers (SPE) 2021 International Award for Distinguished Membership. He was an SPE Distinguished Lecturer on Big Data Analytics during the 2018-19 season, visiting 16 countries to deliver 32 lectures. He is the author of ~200 refereed publications, conference papers and technical reports, and the book "Applied Statistical Modeling and Data Analytics for the Petroleum Geosciences" published by Elsevier. He is also a popular instructor of short courses on statistical modeling and data analytics for professional societies and client locations in the US, Canada, China, Spain, Japan, India, Finland, Belgium and Switzerland. He holds a PhD degree from Stanford University, an MS degree from The University of Texas at Austin, and a BTech degree from IIT(ISM) Dhanbad.



About the Symposium

Summary of the Symposium:
There is growing recognition that a new energy paradigm is needed to curb the build-up of anthropogenic CO2 emissions in the atmosphere and the corresponding global warming-related impacts. Many countries and companies are embarking on ambitious programs to reduce their carbon footprint and switch from carbon-intensive fossil fuels to sustainable greener energy feedstock and carriers. This symposium is designed to inform professionals in energy industries and students about the impending energy transition and help them gain an understanding of the relevant concepts/technologies, opportunities, and challenges. .


Specifically, the symposium will examine:
1. New energy economy: energy-climate nexus, decarbonization pathways (including usage of hydrogen) to decelerate the pace of global warming from CO2 emissions.
2. Decarbonization Pathways: Solar, wind, biomass, green hydrogen, green ammonia, hydropower, pumped storage.
3. Carbon Capture and Sequestration (CCS): the capture of CO2 from large stationary sources combined with geological storage, that has emerged as an attractive option for emissions reduction.
4. Hydrogen underground storage (HUS): viewed as an effective strategy for storing large volumes of surplus electrical energy from renewable sources.
5. Environmental, social and governance (ESG) reporting: evaluation of a company’s performance across a holistic and sustainable set of non-financial measures.


Symposium Broucher Details Schedule

Speaker:


Dr. Srikanta Mishra

Honorary Faculty, Chemical Engineering, IIT Guwahati

Mr. Baroruchi Mishra

Project Director-Growth and Transition Projects, Shell India

Dr. Rafiq Awal

Chairperson & Managing Director, Yosef Geo Energy Pvt. Ltd.

Dr. Farrukh Khalid

Assistant Professor, IIT Guwahati


Registration

Registration Fees for Workshop

Registration fee includes GST 18% and full access to workshop activities, tea/coffee during workshop.

Participants need to fill the Registration Form on or before 15 Nov, 2022..

Registration fees are non-refundable.

Note: Registration for Symposium is Free.

Registration Form

Participants are requested to pay the registration fees to the below account through NEFT/IMPS transfer and then fill the registration form..

Account Details

Account Name: Data Analytics IITG

Account No:120002204432

Branch Name: Canara, IIT Guwahati

IFSC Code:CNRB0008652

Branch Code:8652



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Workshop Coordinator

    Prof. Anugrah Singh

    Prof. Sumit Kumar

    Department Of Chemical Engineering

    Indian Institute of Technology Guwahati

    Guwahati, Assam-781039, India

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Contact

Department Of Chemical Engineering

Indian Institute of Technology Guwahati

Guwahati, Assam-781039, India

Email Id: workshop.chemiitg@gmail.com

Phone: +91-9436747353