Abhimanyu Yadav - CTO at LearnEnergyAI

Abhimanyu Yadav

Co-founder & Chief Technology Officer at LearnEnergyAI

Transforming Oil & Gas Industry with Cutting-Edge AI Technology

Professional Summary

Abhimanyu Yadav is a seasoned technology executive with over 16 years of experience in the energy sector, specializing in artificial intelligence, machine learning, and digital transformation. As Co-founder and CTO of LearnEnergyAI, he leads the development of cutting-edge AI solutions for oil & gas operations.

His expertise spans data science, cloud computing, software architecture, and geophysical optimization. With a Master's degree in Geophysics from IIT Kharagpur, he combines deep technical knowledge with practical industry experience to drive innovation in the energy sector.

Abhimanyu has published numerous research papers on super resolution seismic imaging, digital twin technology, and AI-powered optimization in hydrocarbon exploration. His work focuses on leveraging advanced machine learning techniques to solve complex challenges in reservoir characterization and production optimization.

Professional Experience

16+ years in energy technology

Co-founder & Chief Technology Officer

LearnEnergyAI

Jan 2022 - Sep 2025

Leading technology strategy and AI innovation for oil & gas optimization. Developing cutting-edge digital twin solutions and AI-powered analytics platforms.

IT Specialist

Tech Superior Consulting

Apr 2023 - Dec 2024

Providing specialized technical consulting for enterprise technology implementations and digital transformation initiatives.

Head of Technology

Gram Unnati

Sep 2021 - Oct 2024

Led technology initiatives and platform development for rural development programs, implementing scalable solutions.

Geophysical Optimization Supervisor

Polarcus

Apr 2019 - Apr 2021

Supervised geophysical data optimization and processing workflows. Led technical teams in delivering high-quality seismic data products.

Data Processing Support Geophysicist

Polarcus

Mar 2015 - Mar 2019

Provided technical support for seismic data processing operations. Developed workflows for data quality control and optimization.

Chief Field Geophysicist

Polarcus

Jul 2014 - Feb 2015

Managed field operations for seismic data acquisition. Ensured data quality and operational efficiency in offshore projects.

Senior Field Geophysicist

ION Geophysical

Feb 2010 - May 2014

Led field operations for marine seismic surveys. Coordinated with international teams for successful project execution.

Education

Master of Science in Geophysics

Indian Institute of Technology, Kharagpur

May 2004 - May 2009

Certifications

PRINCE2® Foundation Certification

Microsoft Certified: Azure AI Fundamentals

Software Development Processes and Methodologies

The Data Scientist's Toolbox

Introduction to Software Product Management

Research Publications

Published research on AI, digital twins, and seismic optimization

Super Resolution Seismic through Deep Information Maximization: A Case Study of the Chandon Field

Geo4.0: Saudi Arabia

October 22, 2024

Seismic resolution plays a critical role in hydrocarbon exploration and reservoir characterization. Limited bandwidth and low resolution can hinder the accurate delineation of stratigraphic and structural features. This study introduces a novel generative deep learning-based methodology to generate high-resolution seismic images...

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Super Resolution Seismic Inversion through Deep Information Maximization: A Case Study of the Chandon Field

Geo4.0: Saudi Arabia

October 22, 2024

High resolution rock property models are impertinent for improved subsurface and reservoir characterization. This study focuses on an advanced methodology for seismic inversion, harnessing the power of generative deep learning through the deep information maximization algorithm...

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Real-Time Decision Support in Optimizing Well Production and Hydraulic Fracturing Operations using Digital Twin

EAGE Digital Twin Workshop Malaysia

October 16, 2024

Digital twin technology is revolutionizing the oil and gas industry by creating virtual replicas of operational processes, enabling digital fields and real-time decision support in field optimization...

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Digital Twin-Assisted Reservoir Management for Infill Drill Optimization

EAGE Digital Twin Workshop Malaysia

October 16, 2024

The oil and gas industry is witnessing a transformative shift with the arrival of digital twin technology, by developing virtual models of operational processes...

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AI-Powered Real-Time Optimization in CBM Well Production & Hydraulic Fracturing Operations

International Conference on Transforming Upstream: Breakthrough Technologies and Sustainability (ICTU 2024)

September 30, 2024

Artificial Intelligence is revolutionizing the oil and gas industry by creating virtual replicas of operational processes, enabling digital fields and real-time decision support in field optimization...

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AI-Driven Optimization for Infill Drill Locations in CBM Reservoirs

International Conference on Transforming Upstream: Breakthrough Technologies and Sustainability (ICTU 2024)

September 30, 2024

The oil and gas industry is undergoing a transformation with the integration of AI technology to create virtual models of operational processes...

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Clash of the Heavyweight ML Classifiers

Nerd for Tech / Medium

May 17, 2021

Comprehensive comparison of Machine learning algorithms for classification tasks. Analyzing performance, accuracy, and computational efficiency across multiple datasets.

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Rapid Estimation of Source Parameters using Finite Fault Modeling - A Case of Sikkim and Garhwal Himalaya

Seismological Research Letters

December 31, 2008

Advanced seismological analysis using finite fault modeling techniques to rapidly estimate earthquake source parameters in the Himalayan region.

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Key Achievements

8+

Research Publications

16+

Years in Energy Sector

3

Leadership Roles in Energy Tech

5+

Professional Certifications

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