Produced Water for Upstream Oil and Gas
A focused, practice-led program on managing produced water from wellhead to discharge or reinjection. Participants translate standards and field data into reliable treatment, disposal, and waterflood quality controls that reduce deferment and compliance risk.
Workshop Objectives
• Design and optimize treatment trains for deoiling, solids control, gas flotation, membranes, and polishing to meet discharge or reinjection specs.
• Establish PWRI quality envelopes and surveillance for scaling, souring, microbiology, and corrosion with clear KPIs.
• Balance chemistry, hydraulics, and operations to cut OPEX, energy, and chemical consumption while protecting injectivity and uptime.
• Build audit-ready procedures for sampling, data quality, reporting, and regulatory alignment across offshore and onshore assets.
About the Presenter
Delivered by a senior upstream water management specialist with experience across production operations, process engineering, and integrity. Instruction emphasizes proven field practices, defensible calculations, and tools that convert analysis into stable, compliant performance.
Applied Machine Learning for Upstream and Subsurface Domains
This two-day hands-on workshop is designed for petroleum and subsurface professionals seeking practical skills in machine learning for upstream oil & gas operations. The program teaches participants how to apply machine learning to uncover patterns in production and reservoir data, discover equations from historical relationships, and build predictive models for vital engineering parameters. Real-world datasets from drilling and subsurface domains are used, focusing on automating reports, visualizing data, and interpreting model outputs for improved decision-making.