Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/577954
Title: | Petrophysical properties and pore structure evaluation of Jaisalmer formation through quantitative interpretation based on well log and machine learning ML approaches for hydrocarbon exploration |
Researcher: | Yalamanchi, Pydiraju |
Guide(s): | Gupta, Saurabh Datta |
Keywords: | Geochemistry and Geophysics Geosciences Physical Sciences |
University: | Indian Institute of Technology (ISM), Dhanbad |
Completed Date: | 2024 |
Abstract: | Available newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/577954 |
Appears in Departments: | Department of Applied Geophysics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 360.67 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.28 MB | Adobe PDF | View/Open | |
03_content.pdf | 227.68 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 239.02 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 730.92 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 1.07 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.85 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.91 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.73 MB | Adobe PDF | View/Open | |
10_annexures.pdf | 1.16 MB | Adobe PDF | View/Open | |
11_chapter 6.pdf | 351.64 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 709.32 kB | Adobe PDF | View/Open |
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