Monitoring Produced Water Case Study Challenges and Successes

Monitoring Produced Water: Case Study Challenges and Successes Presentation by: Gerard Cooke www. envirotechsystems. com www. advancedsensors. co. uk info@envirotechsystems. com sales@envirotechsystems. com 17327 Norwell Drive Covington, LA 70435 Phone: 985 -809 -6480

History • Major Oil Company in the Go. M was facing issues with water treatment equipment at multiple facilities • Existing monitoring equipment not working satisfactorily • One of the facilities was issued an NPDES discharge violation after a sheen resulted from an overnight equipment failure • Looking for ways to improve the water treatment process and early detection

Challenges • Know what is going on! • Make changes and improvements • Trust the data • React to what is known • Use data to make process control decisions • Automate the process

Reliability and Trust Cleaning • Cleaning has always been a major problem with monitors • “Oil in water monitors do not work” • Customer was not convinced monitor could automatically clean • Over time trust was built up with automatic cleaning leading to less and less lab samples glass clean_med 2. wmv

Equipment Selection • Factors to Consider • Reliability • Dependability • Monitoring at Multiple Points in the System • Side-Stream vs In-Line

Installation

Early Data

Later Installations

Data • Graph represents 17 months of data for discharge (Oct ‘ 11 – Feb ‘ 13) Gravimetrics Vs. OIW Analyzer 18 16 PPM Value 14 12 10 Lab Gravimetrics 8 Advanced Sensor 6 4 2 0 0 5 10 15 20 25 Number "By Month" 30 35 40 45

Successes Zero Noncompliance Violations Since Installation • Since the monitors have been deployed in the Gulf of Mexico, the oil company has had zero NPDES violations • Similar configuration now deployed on 7 platforms in Go. M with more to follow in 2013

Conclusion • Monitoring multiple locations not only insures no violations but provides early detection indicators and cost saving • Cost saving not only from zero violation but also from process monitoring i. e. chemical usage optimisation

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