Program Description

The course "Applied Oil and Gas Seismic Data Analysis and Advanced Interpretation" aims to develop students' skills in analyzing seismic data for the purpose of identifying subsurface structures and potential hydrocarbon reservoirs. Students will learn various techniques such as seismic data processing, imaging, attribute analysis, and interpretation workflows. The course will also cover advanced interpretation methods, including seismic stratigraphy, amplitude analysis, and AVO analysis, to enhance reservoir characterization and exploration outcomes.

Key Highlights

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Comprehensive Curriculum: Covering a wide range of topics, including upstream, downstream, management, hydrogen-biofuels.

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Industry-Relevant Knowledge: Understanding of the latest advancements, emerging technologies, and best practices in energy and petrochemical sectors.

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Practical Applications: Case studies and projects.

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Expert Faculty: Profound faculty members with extensive industry expertise.

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Interdisciplinary Approach: Combining engineering principles, financial analysis, environmental considerations, and technological advancements.

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Collaboration and Networking: Fostering a supportive learning environment and providing opportunities for mentorship and career development.

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Career Prospects: Career opportunities in energy companies, petrochemical industries, consulting firms, government agencies, and research institutions.

Learning Format

Online

Duration

3 Months 4 sessions/week 2 live sessions/month Each recorded session will be 25 minutes and uploaded to the server and participants can get access.

Certified by

IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras and
Zemblance

Program Fee

Rs. 15,000 + 18% GST for current students
Rs. 30,000 + 18% GST for contract employees
Rs. 40,000 + 18% GST for working professionals

Downloads

Program Description

Education Qualification

Graduation in Engineering - Petroleum/Chemical/Mechanical/Civil/Mining/
Electrical/Electronics and Masters in Geophysics/Geology/Applied
Geology from recognized university (UGC/AICTE/DEC/AIU/State Government). 
For International Participants - Students / Graduation or equivalent degree from any recognized University or Institution in their respective country.

Suggested Prerequisites

Fundamental knowledge of science, engineering, energy sector

Lead Faculty

Dr. R. David Koilpillai, Qualcomm Institute Chair Professor, Department of Electrical Engineering, IIT Madras
Dr. Rajesh R Nair, Professor, Petroleum Engineering Programme, Department of Ocean Engineering, IIT Madras
Shri. R K Dhasmana, Ex- Executive Director and Basin Manager KG Basin, ONGC; EdTech Director, Zemblance Hydrocarbons

Learning Schedule

Overview of seismic data acquisition and interpretation, Principles and concepts of seismic data analysis in the oil and gas industry

Data conditioning and noise reduction techniques, Migration methods for accurate imaging of subsurface structures

Introduction to seismic attributes and their interpretation, Attribute analysis techniques for reservoir characterization

Principles and methods of seismic inversion, Application of seismic inversion for reservoir property estimation

Workflow design and best practices for seismic interpretation, Integration of well data, geological models, and seismic data for interpretation

Principles and applications of seismic stratigraphy, Identification and characterization of stratigraphic features using seismic data

Principles of amplitude variation with offset (AVO) analysis, Interpretation of amplitude anomalies and hydrocarbon indicators

Seismic inversion for reservoir characterization, Time-lapse seismic interpretation for monitoring reservoir changes. The course will end with velocity optimization concepts, as well as integration of seismic data and well data in order to generate depth and isochore maps.

Roy Chowdhury, K. (2011). Seismic Data Acquisition and Processing. In: Gupta, H.K. (eds) Encyclopedia of Solid Earth Geophysics.
"Seismic Data Analysis: Processing, Inversion, and Interpretation of Seismic Data" by Öz Yılmaz



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