Ankita Shinde

• Part of the Digital Oilfield (DOF) solution team, contributed expertise in managing the design, validation, and deployment of automated workflows integrating steady state flow modeling using PIPESIM (well & network level) and Production Data management systems to enhance performance of different assets
• Developed workflows mainly included calibration of well models and network
• Developed Virtual Flow Metering Machine Learning models that analyze well test history and field data to estimate production rates for diverse assets

Provided remote support as Production Engineer for Heavy oil asset team, performing various responsibilities

• Conducted daily surveillance of over 10 pads, monitoring more than 200 wells
• Recognized potential for production optimization by conducting Pad/Well Reviews on Sucker rod pumping lifted wells
• Monitored stewardship of stimulation jobs and tracked uplift
• Collaborated closely with onsite operators, geologists, and Artificial lift specialists
• Conducted evaluations on well failures and stimulation opportunities to determine incremental workover economics
• Analyzed and managed large datasets (creation and stewardship of production visualization dashboards) with the help of Excel, Tableau, and PowerBI

Managed and monitored Base Workflow in addition to remote production engineering responsibilities

• Daily pressure surveillance of 7+ pads to avoid flow-to-surface events
• Conducted reverse pressure transient analysis in Kappa
• Streamlined production allocation process

• Contributed to an unconventional asset team in analyzing flowback surveillance data from multiple wells to optimize operating conditions
• Experience in analyzing Diagnostic Fracture Injection Test (DFIT) for identifying reservoir and fracture attributes.