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Petroleum engineer

Location:
Vaishali, Bihar, India
Posted:
August 06, 2020

Contact this candidate

Resume:

Kriti Raj

Phone: +91-911*******

Email : ****************@*****.***

https://www.linkedin.com/in/kriti-raj-b172bb162

I am a hardworking person with growth mindset and my aim is to pursue a career in an oil and gas company with a stimulating environment where I can apply my knowledge and inter-personal skills, while continuously learning. Year(s)

Qualification – Degree

/ Diploma / Certificate

Board/University

College

/ Institute/ University

Percentage /

CGPA

2017-2021 B. tech Applied

Petroleum

Engineering with

Specialisation In

Upstream

UPES UPES 7.97 CGPA

2016 Higher Secondary CBSE Shanti Niketan Sr. Sec

School

76.4%

2014 Matriculation CBSE Shanti Niketan Sr. Sec

School

10CGPA

Summer Internship Project:

Institution: University of Petroleum and Energy Studies Mentor: Dr. Anil Kumar

Project Title: Performance analysis of reservoir using production data of 15/9-F-1C Volve Field Description: The reservoir was identified as undersaturated oil reservoir with partial water drive and then percentage of different Drive Indexes were calculated. Waterflooding was then done in order to increase the recovery and reduce the Depletion Drive Index.

Winter Internship Project:

Institution: Oil and Natural Gas Corporation, Mehsana Department: Logging services section

Mentor: Mr. Dinesh Kumar (In charge data interpretation, Mehsana Asset) Description: Study of open-hole and cased -hole logging techniques followed by interpretation of well logs to find saturation, porosity, shale volume etc. using different logs and also studied the applications of DSI tool. MINOR Project 1

Project Title: Bytes to Barrels: Analogue for Real-Time Drilling Assistant Mentor: Dr. Atul Kumar Patidar

Description: Machine learning based approach was taken to predict lithology on the basis of seven real time drilling parameters which directly affects ROP. Logistic regression was used as the first learning model to predict lithologies but it failed to give good results then artificial neural network was used in this project and it gave good results but failed to predict the lithologies which are in smaller number and then KNN algorithm was used to predict lithologies which gave an accuracy of 93%.

Profile

ACADEMIC BACKGROUND

TRAININGS & PROJECTS UNDERTAKEN

MINOR Project 2

Project Title: Analysis of Methane Gas Hydrates in Drilling and Production using Numerical Methods Mentor: Dr. Harinandan Kumar

Description: Methane Hydrates dissociate upon a decrease of pressure, increase of temperature, or combinations, Thereof, premature dissociation around the wellbore and within annulus must be avoided during the drilling process. Therefore, in this project phenomena of heat transfer from wellbore to methane hydrate deposits is simulated, in order to investigate whether the changes induced in the near wellbore regions are within the accepted limits or not.

Software: Octave

Languages: C++, Python

Operating Systems: Windows

Others: Machine Learning, computational fluid dynamics (CFD), Excel

Secured 1st position in SHELL INNOVATION CHALLENGE organized during UPES SPE fest 2020

Secured 1st position in Digital Oilfield category of Techuminati (Technical paper presentation competition) organized during UPES SPE fest 2020

Secured 1st position in Petra-Quiz organized under petroleum week by UPES SPE student chapter in 2019

Secured 3rd position in Chemi-Quiz organized under chemical week by UPES SPE student chapter in 2018

Certification of Data Science using python from Halliburton

Certification of Introduction to drilling from Norwell Edge

Certification of course Knockdown the Lockdown by TCS

Certification of Problem Solving with Excel from PWC

Completed level 1 Programme from International Well Control Forum

Certification of Data Visualisation with python from cognitive class.ai

Certification of Data Analysis with python from cognitive class.ai

Certification of basic python for data science from cognitive class.ai

Certification of introduction to data science from cognitive class.ai

Certification of Application of Everyday Leadership from University of Illinois

Certification of Fundamentals of Project Planning from University of Virginia

Sponsorship committee member for the tenure 2018-2019 in UPES Aapg student chapter

Attended Dale Carnegie personality enhancement program

Junior district chess champion

Secured Olympiad rank 207 in IIOS organised by Erudite Science Olympiad SKILLS (Professional & Technical)

Awards/Certifications



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