Design of a Real-Time Salinity Detection System for Water Injection Wells Based on Fuzzy Control.

Area of Science:

• Engineering
• Environmental Science
• Chemistry

Background:

• Salinity is a critical water quality indicator in oilfield water injection.
• Real-time salinity monitoring is essential for optimizing water flooding processes.
• Existing methods may not be suitable for high-temperature oilfield conditions.

Purpose of the Study:

• To design and develop a robust salinity measurement system for high-temperature oilfield applications.
• To enable real-time salinity monitoring in water flooding solutions.
• To ensure accurate and stable salinity measurements in challenging environments.

Main Methods:

• A salinity measurement system was designed incorporating an integrator circuit for data collection.
• Fuzzy control logic was implemented for range expansion to accommodate varying salinity levels.
• The system was engineered to withstand high-temperature operational conditions.

Main Results:

• The developed system demonstrated stable operation in high-temperature environments.
• Accurate salinity measurements were achieved with an accuracy of 0.6%.
• The measurement uncertainty was determined to be 0.2% within the 1-10 g/L range.

Conclusions:

• The designed salinity measurement system is effective for real-time monitoring in high-temperature oilfield settings.
• The system provides reliable and accurate salinity data crucial for water injection engineering.
• This technology enhances the efficiency and control of oilfield water flooding operations.