Md Ashraf
Geophysicist
I am an aspiring geophysicist with a strong foundation in applied geophysics, seismic exploration, and AI/ML applications in geosciences. I’m currently pursuing my Master’s at IIT (ISM), Dhanbad, and I’m passionate about using geophysical methods and data-driven approaches to tackle challenges in hydrocarbon exploration and reservoir characterization. Through my academic projects and internships, I’ve gained hands-on experience in seismic data processing and interpretation using Seismic Unix, DecisionSpace, and Hampson-Russell, along with petrophysical analysis and machine learning-based facies classification. I’ve also worked with GPS and geodetic data to study earth deformation and seismic hazards. I enjoy working in collaborative environments and am driven by the opportunity to contribute to the oil & gas industry, combining technical knowledge with AI/ML insights and innovative problem-solving.
- From: Bihar, India
- Lives In: Dhanbad, Jharkhand
- Age: 23
- Gender: Male
My Skills
Technical skills
Python
MATLAB
GAMIT/GLOBK + GMT (GENERIC MAPPING TOOLS)
Decision Space + Seismic-Unix + Tesseral
MS-WORD, MS-Power Point, Ms Excel
Soft Skills
Communication
Leadership
Time management
Problem Solving
Adaptibility
Education
-
2023-2026
Msc Tech (Applied-Geophysics)
IIT (ISM) Dhanbd -
2019-2022
B.Sc Physics (Hons)
Patna Science College, Patna University -
2019
Intermediate
+2 Islamia High School, Simri Bakhtiyarpur -
2017
Matriculation
+2 Islamia High School, Simri Bakhtiyarpur
Experience
-
December 2024
GeoPhysical Field Training
IIT (ISM) Dhanbad -
June 2024
Training on Glacier Studies and Remote Sensing
Divecha Centre for Climate Change, IISc BangaloreFocused on glaciology, including glacier and snow cover distribution, remote sensing, and climate change impacts. Experienced in performing topographic reflectance corrections, estimating glacier depth, and evaluating climate-related impacts
-
December 2023
Geological Field Training
Indian Institute of Technology(ISM),DhanbadMap orientation,Front and Back bearing, Analysis of rock types and mineralogy, Assessment of rock strength with related tests, and measurement of dip and strike of geological structures.
Projects
Machine Learning Based Facies Prediction
IIT (ISM) Dhanbad
March 2025 – April 2025
A research-driven case study applying both supervised and unsupervised ML techniques for automated electrofacies prediction from well logs. Focused on robust feature engineering, model comparison, and validation against lithofacies data and nearby wells.
- Analyzed well log data using histograms to study distribution and detect outliers.
- Created missing PE logs to support facies type identification in wells lacking that information.
- Prepared a few extra input features for both supervised and unsupervised rock classification approaches.
- Implemented various supervised and unsupervised machine learning algorithms to classify electrofacies.
- Validated predicted facies by comparing with known lithofacies and nearby well data.
Python
Scikit-learn
XGBoost
NumPy
Pandas
Matplotlib
Seaborn
Seismic Exploration Techniques: An Overview of Data Acquisition, Processing & Interpretation
ONGC Chennai
June 2024 – July 2024
Mentor: Dr. M Nagendra Babu -Sr. Geophysicist (Surface)
Key Work & Learning Outcomes:
- Studied design and implementation of 2D/3D seismic surveys including geometry, shot/receiver placement, and field QC.
- Performed seismic preprocessing tasks: deconvolution, filtering, velocity analysis, stacking, and migration.
- Applied seismic interpretation workflows in DecisionSpace (Landmark) and Hampson-Russell for structural and stratigraphic analysis.
- Interpreted seismic sections to identify faults, folds, hydrocarbon traps, and depositional features.
- Explored use of seismic attributes for reservoir characterization and prospect evaluation.
Technology & Tools: DecisionSpace (Landmark), Hampson-Russell, seismic attribute workflows, velocity modeling, seismic-to-well tie techniques.
Download Project Report
Desktop Application - GUI of Basic Petrophysics Code
IIT (ISM) Dhanbad
August 2024 – November 2024
Objective: Developed a Python-based GUI application to perform and visualize petrophysical analysis, enabling geoscientists to streamline workflows for reservoir characterization and well log interpretation.
Key Features:
- User Interface: Intuitive GUI for inputting petrophysical parameters (porosity, permeability, water saturation). Interactive data visualization including multi-track logs, histograms, and cross-plots.
- Core Functionality: Automated calculations for Archie’s equation, shale volume, effective porosity, and parameter sensitivity analysis with real-time sliders.
- Visualization: Depth-dependent log plotting, dynamic cross-plots (porosity vs. resistivity, saturation vs. permeability), and export-ready figures for reports.
- Data Handling: Import/export support for industry-standard file formats (LAS, CSV, XLSX).
Technology Stack:
- GUI Frameworks: PyQt5, Tkinter (for standalone deployment).
- Backend: Python modules for petrophysical computations and Matplotlib/Seaborn for visualization.
To Estimate the Co-seismic Surface Deformation using GPS Measurements
IISc Bangalore
Date: May 2024 - July 2024
- Investigated the 2015 Gorkha earthquake’s impact on crustal deformation and GPS sites velocities using GAMIT/GLOBK.
- Processed GPS data from 26 GNSS and 12 IGS stations over the period of 2010-2016.
- Generated earthquake movement-related time-series plots and evaluated earthquake-induced surface movements and deformation.
- Converted CNX format data to RNX and performed data processing to ensure accuracy and completeness in the analysis.
Petrophysical Case Study of Gorgonichthys-1 Well – IIT (ISM) Dhanbad
IIT (ISM) Dhanbad
Date: March 2024 - April 2024
- Conducted a comprehensive petrophysical case study of the Gorgonichthys-1 well, including sonic tool design, wireline log quality control, outlier detection, porosity estimation, velocity analysis, shale volume, and water saturation estimation, and advanced reservoir characterization.
Service
Positions of Responsibility
EAGE IIT ISM Student Chapter
Content Writer
SEG Student Chapter
Content Writer
Chegg (EdTech)
Subject Matter Expert
2
Research Projects5
Internships Completed6
Technical Skills Acquired6
Achievements &6
CertificationsPortfolio
See My Work
Seismic Data Processing
Seismic Unix | DecisionSpace | Hampson-Russell
Key Achievements
AIR-11 in JMI MSc(Physics) Entrance Test
Achieved an exceptional rank (AIR-11) in the prestigious JMI MSc(Physics) Entrance Test.
DST-Inspire Scholar
Honored as a DST-Inspire Scholar for exceptional academic performance and potential.
University-wide Essay Competition Winner
Winner of the essay competition on "Recent Developments in Physics" (2022) across the university.
College-wide Essay Competition Winner
Won the first place in the essay competition on Nanotechnology (2020) within the college.
First Position in Class 12 Board Exams (BSEB)
Achieved first position in Class 12 Board Exams (BSEB) with a score of 87.6% in PCM.
District Second Topper in Class 10
Ranked second in the district for the Class 10 Board Exams, demonstrating consistent academic excellence.
Certifications
Machine Learning with Python - IBM
ML algorithms & data preprocessing in Python for AI solutions.
View CertificatePython for Data Science, AI, and Development - IBM
Advanced skills in data science, AI, and Python development.
View CertificateProgramming for Everybody(Python) - University of Michigan
Python foundation focused on automation & computational solutions.
View CertificateRemote Sensing in Mineral Exploration - Geological Survey of India
Applied remote sensing techniques for mineral exploration.
View CertificateRS & GIS Applications in Natural Resource Management - ISRO
RS & GIS for environmental monitoring & resource mapping.
View CertificateGeodata Processing using Python - IIRS (ISRO)
Advanced geospatial data analysis techniques with Python.
View CertificateContact