**** **** ****** ***** ****., Houston, TX
Yogesh Bansal **********@*****.***, 814-***-****
SUMMARY
Reservoir/petroleum engineer with excellent communication skills with goal of leading company’s efforts to efficiently develop
properties and maximize profits
Specialize in reservoir simulation with experience in VIP, Nexus, and CMG. I have experience in history matching, water
flooding, polymer flooding, well and field production forecasting, pressure maintenance, decline curve analysis, in-fill drilling,
PVT modelling, economic analysis, material balance analysis
WORK EXPERIENCE
Dec 2011-Current
BP America Inc., Houston, TX, US
Reservoir Engineer, SubSurface Technology July 2014-Current
o Waterflood modeling for Rumaila, Iraq
o Surface Network modeling for Mars-Ursa-Princess (GoM-USA)
o Rapid sweet spot identification using Artificial Neural Networks
Reservoir Engineer, Base Mgmt., Anadarko, L48 Nov 2013-Jul 2014
o Identifying drilling opportunities, reserves quantification and carry out economic analysis using BP tools in a team
environment consisting of PE, RE, Geologists, Landman, Geophysicists and Petrophysicists
o Recompletion potential identification- Log analysis, evaluate geological risks, economical and sensitivity evaluation
o Reserves booking- Evaluate production trends to individual wells, fit appropriate decline used for booking reserves.
o Predict well PI in Eagleford play using Artificial Neural Networks
o Evaluation of P&A wells
Reservoir Engineer, SubSurface Technology Dec 2011-Nov 2013
o VIP to NEXUS conversion for Egyptian reservoir models
o History match on Nakika-Fourier model (GoM-USA)
o Simulation model evaluation and solution to problem for instability due to well constraints in Atlantis (GoM-USA)
o PVT uncertainty for Vakhitovskoe and Rospan (Russia)
o Well Bore Hydraulics uncertainty modeling for Vakhitovskoe (Russia)
o Surface network modeling for Alaskan reservoirs (Prudhoe and Northstar)
o Multiple-Reservoir modeling for Thunder Horse (GoM-USA)
o Found and reported several bugs in Nexus related to surface network, PVT handling etc.
o Found and reported bug in Winprop (CMG tool) while creating black oil PVT table
Reservoir Engineer Intern, SubSurface Technology May 2011-Aug 2011
o Capturing, documenting and sharing know-how the technical fixes for VIP to NEXUS conversion project
o Develop a QC tool to deal with data corruption in wellbore hydraulics
o Complete in-house PVT model for black oil reservoir models
Jun 2009-Aug 2010
Chevron, Houston, TX, US
Reservoir Engineer Intern, Waterflood and i-field team Jun 2010-Aug 2010
o Developed an analytical approach to estimate average reservoir pressure and leaking fault transmissibility
o Tested the method on synthetic cases and on an off-shore field in West-Africa
o Developed a water-flood optimization tool to improve sweep efficiency - incremental oil, reduced water
o Implemented and modified ensemble based optimization technique- automated the entire process
o The algorithm proved to be ~6 times faster. Yielded 10% incremental oil and 12% reduced water production
Reservoir Engineer Intern, Reservoir Simulation Consulting Jun 2009-Aug 2009
o Development of a sector model to study polymer flooding in an offshore field in Angola
o To carry out the sensitivity analysis of production to different polymers, concentration, slug size, injection rate
o To extend the model for the full field and carry out recovery analysis in terms of amount of polymer used
Jan 2008- Dec 2011
ACADEMIC EXPERIENCE, University College, PA
Department of Energy and Mineral Engineering, Penn State University (Spring ’09-Fall ’11)
Research Assistant:
PNG-511- Numerical Solution of the PDE of Flow in Porous Media (Fall '09 -10)
Teaching Assistant:
PNG-512- Numerical Reservoir Simulation (Spring '09-11)
PNG-425- Principles of Well Testing and Evaluation (Spring '11)
PNG489- Engineering Evaluation of Oil and Gas Properties (Spring '08)
EDUCATION
PhD, Petroleum and Natural Gas Eng, The Pennsylvania State University December 2011
(GPA: 3.94/4.00)
My research is focused in ‘Predicting the Performance of Wells Located in Tight Oil Plays Using Artificial Expert Systems’.
This research aims at identifying most prolific oil producing locations and suggest optimum well placement for further infill
drilling activity. In addition, an expert system based proxy is used to optimize the completion parameters for new wells.
This proxy-based algorithm is very fast and field deployable. The methodology has been successfully tested in the field by
Chevron (also the sponsor of research).
MS, Petroleum and Natural Gas Eng, The Pennsylvania State University Fall 2007-Spring 2009
(GPA: 4.00/4.00)
My research is focused on ‘Conducting In-Situ Combustion Tube Experiments Using Artificial Neural Networks’. This
research aims at capturing the complexities of in-situ combustion process by means of developing a proxy capable in
predicting the outcomes of laboratory experiments. The methodology aims at reducing the number of experimental runs.
B.Tech, Chemical Engineering, USCT, GGS Indraprastha University (India) Fall 2003-Spring 2007
(GPA: 3.80/4.00)
My senior year research focused in ‘Nano-particle synthesis of CaCO3 in Micro-emulsion system’. My task was to prepare a
bubble column and run the experimental setup for the synthesis of CaCO3 nano-particles. The characterization of the size
of particles was done using Dynamic Light Scattering (DLS) tool available in the university.
COMPUTER SKILLS Reservoir simulators: CMG, CHEARS, VIP, NEXUS, CRM, MBAL
Other competencies: PI Dwight, DSS, Petra, Tecplot, Spotfire, Crystal Ball, PHDWin, Matlab,
C++, Fortran, AWK, Perl
o Third place at 2010 Eastern Regional SPE Student Paper/Presentation Contest
ACHIEVEMENTS
o Joseph and Anna Rubash Graduate fellowship in Spring 2008
o Chevron Corporation PNGE scholarship in Spring 2008
o Merit Scholarship from GGS Indraprastha University in Fall 2003