Engineer

Viranchi V Vedpathak +1-213-***-****

********.*********@*****.***

HIGHLIGHTS

• Oilfield production and PVT lab experience

• Network modelling using PIPESIM

• Data Analysis with Python

• Ability to gain insights using Tableau

• Collaborated with multi-disciplinary personnel

• Production forecasting using Neural Networks

• Artificial lift system selection capability

• Quickly adapts to new software

WORK EXPERIENCE

Petroleum Engineer, Flutura Business Solutions LLC – Houston, Texas 02/2019 – PRESENT

• Simulated gathering system network operated by Shell (350 dry gas wells & 5 Compressor Stations).

• Improved accuracy by 15% and reduced simulation time by 95% (Publication: SPE 202735 MS).

• Identified opportunities with potential clients and engaged closely with the sales team. Production Lab Analyst, Apache Corporation – San Antonio, Texas 08/2019 – 02/2019

• Tested oil and LNG samples for chemical properties including RVP, %Composition and Specific Gravity.

• Delegated tasks to field personnel and monitored production and injection schedule.

• Troubleshooted PVT laboratory equipment including Gas Chromatographs and Vapor Pressure Analyzer. Petroleum Field Geologist, Stratagraph INC – Midland, Texas 01/2018 – 07/2019

• Examined drill cuttings on field laboratory to build lithology and gamma ray logs of the Permian Basin.

• Analyzed data (drilling, gas and gamma ray) to detect anomalies.

• Reported key findings including hydrocarbon rich zones to the operator (Pioneer Natural Resources). EDUCATION

Petroleum Engineering, Master of Science, University of Southern California, USA 01/2015 – 12/2017

(Specialization: Smart Oilfield Technologies)

Petrochemical Engineering, Bachelor of Science, University of Pune, India 07/2010 – 06/2014 TECHNICAL SKILLS

• Mud-program and Casing Design

• Hydraulic Fracture Design

• Well Testing for Reservoir Characterization

• Well Deliverability Calculations

• Decline Curve Analysis

• Probabilistic Determination of Reserves

RESEARCH PUBLICATIONS

IPTC 19230-MS (2019) A Novel Machine Learning Model for Early Operational Anomaly Detection using MWD Data SPE 194921-MS (2019) Statistical Machine Learning for Intelligent Oilfield Operations SPE-190582-MS (2018) Integrated Cybersecurity for Modern Information Control Models in Oil and Gas Operations LEADERSHIP AND MANAGEMENT EXPERIENCE

President, SPE USC Student Chapter 08/2016 – 04/2017 Business Development Officer, USC Credit Union 05/2016 – 07/2016 University of Southern California Fundraiser 07/2017 – 11/2017

Contact this candidate