Hi, Welcome to my page

I'm Anjali Dixit, a PMRF research fellow 

@ IIT Kanpur, India.

Brief bio

I am interested in applying state-of-the-art deep neural network architectures in seismic interpretation and inversion, to have the better evaluating criterion for mapping sub-surface architecture.

Thesis Supervisors

Research Interest

Seismic Multi-Attribute Analysis

Seismic multi-attribute analysis can efficiently delineate the sub-surface target such as, salt body, fault network, gas chimney etc.  

Deep Neural Network in Seismic 

Due to their exceptional nonlinear mapping technique and data-driven approach, deep neural networks have been widely used in seismic inversion.

Global Optimization Algorithms

Since, the objective function for seismic inversion is non-convex in nature, then its highly important to ensure the convergence at global minima.

Educational Background

Doctor of Philosophy

Mater of Technology*

*M.Tech program has been converted to Ph.D. since Aug 2020 

Bachelors of Technology

Secondary Education

Industrial Exposure

CGI Information Systems and Management Consultants Pvt. Ltd., Bangalore (June 2015- July 2018)

• Worked as a domain expert, who understands the petroleum value chain.

• Led the knowledge sharing team, educated colleagues on operations in oil & gas industry.

• Rewarded for conducting knowledge sharing programs for members of Asia-Pacific delivery center.

Industrial Internships

Schlumberger Asia Services Limited, Navi Mumbai  (May -July 2019)

Workflow Automation for stresses computation in Shale Formation 

Value addition - This automated workflow will assert the service quality & save time ~2hrs./job

Approach – Developed a python script to automate the stress model under Techlog software. 

Achievement – Published a detailed instruction manual for above work into Schlumberger’s content repository.

Cairn India Pty Limited, Gurgaon (Jun -Aug 2014)

Regional Study of Pore pressure of Barmer basin and its application

Value addition – This regional pore pressure study will mitigate the risk factor in exploring future prospects.

Approach – Identified the overpressure regions then using Predict software performed detailed analysis.

Achievement – Computed hydrocarbon column height and designed a safer mud window for an undrilled well.

Directorate General of Hydrocarbons, Noida (Jun -July 2013)

Basic Well Logging Technique & Seismic Interpretation

Description: Understood concepts of various well logging tools and then interpreted the well logging data. Also learnt about the seismic method of Geophysical exploration & the basics of seismic interpretation.


Online Courses/Workshops