Engineer Engineering
Resume:
Vida Gholami
US Permanent Resident
*********@*****.***
Houston, TX, 77006
www.linkedin.com/in/vida gholami
SUMMARY OF QUALIFICATIONS
* ***** ** ***** ********** in oil and gas reservoir engineering and data driven analytics.
Proficient in using data driven analytics techniques for modeling, production forecasting and optimized strategy design in conventional and unconventional reservoirs.
Experienced in numerical reservoir simulation, reservoir performance analysis, economic evaluation, production forecasting, volumetric analysis, material balance, reserve estimation, decline curve and pressure transient analysis.
Substantial expertise in modeling EOR/EGR techniques including water flooding and miscible and immiscible CO2 flooding and CO2 sequestration.
Skilled in conventional and unconventional reservoir modeling including Shale and Coalbed Methane. PROFESSIONAL EXPERIENCES
ADVANCED RESOURCES INTERNATIONAL, INC. March 2015 – Present SENIOR CONSULTANT (RESERVOIR ENGINEER)
Developed toolkits for estimating EOR potentials in Kitty field, WY using data driven analytics.
Developed application for predicting storage capacity and CO2 plume area of review (AOR) in sequestration projects using data driven analytics.
Identified best strategies for enhanced oil and gas recovery at the Cusiana field, Colombia through reservoir engineering and modeling.
Forecasted EOR (water flooding and CO2 WAG) outcome in main pay zone and residual oil zone (ROZ) in the Goldsmith Landreth San Andres Unit (GLSAU) in Permian Basin of West Texas, through numerical reservoir modeling.
Studied the technical and economic potential of enhanced gas recovery (EGR) for increasing production yields in the San Juan Basin, and the potential for simultaneous EGR sequestration of carbon dioxide.
Involved in assessment of potential coalbed methane production improvements in a poor performing area of the Baiyang river CBM field, China.
Assessed the factors influencing effective CO2 storage capacity and injectivity in the Marcellus Shale.
Involved in reservoir modeling and feasibility studies of different CO2 sequestration projects e.g. Citronelle field and Brine Extraction and Storage Test (BEST) near plant smith, FL. WEST VIRGINIA UNIVERSITY May 2010 – Dec 2014
RESEARCH ASSOCIATE
Supervised a group of researchers and performed multiple projects such as:
Application of Artificial Intelligence and Data Driven Modeling:
Deep Water Horizon – GOM Oil Spill. The estimation of the spill rates and quantifying the associated uncertainties during the Macondo blowout.
Modeling CO2 sequestration in a saline aquifer (Mattoon Reservoir) based on Machine Learning.
Numerical Reservoir Modeling and History Matching:
CO2 sequestration in Citronelle field, modeling and leakage detection.
Modeling CO2 sequestration and enhanced methane recovery in Appalachian un minable coal deposits, WV.
Published multiple technical papers for conferences and workshops and served as co principal investigator in multiple research proposals from Department of Energy.
INTELLIGENT SOLUTIONS INC. Jun 2009 – Aug 2009
DATA SCIENTIST INTERN
Involved in developing a data driven, history matched model of a giant oil field in Middle East using Machine Learning. Vida Gholami Page 2
WEST VIRGINIA UNIVERSITY Aug 2007 May 2010
GRADUATE RESEARCH ASSISTANT
Applied numerical and data driven modeling for optimization purposes in CO2 EOR (WAG) process in SACROC northern platform, Permian Basin, by history matching and developing a well based and grid based surrogate reservoir model, using machine learning techniques.
Proposed the best water flooding strategies in Keyes formation, KS, through an integrated reservoir study.
Forecasted production in a Shale reservoir (Niobrara field) by applying data driven predictive modeling.
Developed innovative upscaling methodology using fuzzy logic to account for the inherent uncertainties associated with rock typing procedure.
NISOC, AHWAZ Dec 2005 Aug 2007
RESERVOIR ENGINEER
Analyzed Two phase flow in the pipelines.
Designed Surface facilities.
Researched analytical reservoir engineering.
EDUCATION
PH.D. in Petroleum & Natural Gas Engineering, West Virginia University (GPA 4.00) Dec 2014
M.SC. in Petroleum & Natural Gas Engineering, West Virginia University (GPA 4.00) Aug 2009
B.SC. in Petroleum Engineering, Petroleum University of Technology (GPA 3.19) Sep 2005 AWARDS & CERTIFICATES
Certificate of “Oilfield Data Mining” Course by Society of Petroleum Engineers (SPE). 2013
Certificate of “Artificial Intelligence” online course by Dr. Sebastian Thrun (Stanford University). 2011
Certificate of “Machine Learning” online course by Dr. Andrew Ng (Stanford University). 2011
Recognition for the works performed in estimating the oil rate and associated uncertainties in
“Deep Water Horizon Gulf of Mexico Oil Spill project”, as a member of PEARL research lab at WVU. 2011
Certificate of “CO2 Based EOR (Miscible Flood)” course by Computer Modeling Group (CMG). 2010
SPE STAR Scholarship. 2009
Outstanding Graduate Student for Academic Achievement & Excellence in Research from WVU. 2008, 2009, 2014 PROFESSIONAL AFFILIATIONS
SPE Petroleum Data Driven Analytics (PD2A) Associate Technical Council (ATAC). 2013 2015
American Association of Petroleum Geologists (AAPG). 2008 Present
Society of Petroleum Engineers (SPE). 2007 Present COMPUTER SKILLS
Python (DS Packages: Numpy, Pandas, SKLearn, Matplotlib), VB6, VBA, MATLAB
CMG, PETREL, ECLIPSE, Petra, GeoGraphix
FEKETE Harmony, PIPESIM, PANSYSTEM
Intelligent Predictive Reservoir Modeling (IMagine) and Intelligent Data Evaluation and Analysis (IDEA) proprietary software of Intelligent Solutions Inc.
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