Real-time well production surveillance and monitoring are critical to early identification of production loss and well instability. Operators and engineers can perform surveillance, remedy operational well and pipeline issues, and develop techniques to prevent and mitigate factors that impact fluid flow.

With data acquisition tools, integrated asset management, and early intervention, you can optimize production from all assets and protect the environment by repairing well integrity before damage has occurred.

Issues Detected by Real-Time Monitoring

  • Suboptimal water injection rates
  • High water-cut producers
  • Artificial lift equipment faults
  • Scale build-up

Surveillance instrumentation installed in the fluid flow path obtains data in real-time. The data stream informs a predictive model for:

  • Solids deposition
  • Corrosion
  • Rheology
  • Thermodynamics

A closed-loop process that uses fluids data, flow models results from measurements such as distributed temperature and multiphase flow parameters, reducing uncertainty and improving your predictive flow models.

Surveillance Data Processing

Process Data Cleansing and Filtering

Data cleansing is the pre-processing of real-time data to remove all non-natural real time signal values. Traditional filtering techniques introduce delays and anomalies into real-time data streams resulting in inaccurate models.

After data cleansing, real-time and production data signals are:

  • Processed to reveal the true nature of the underlying process dynamics, the true behavior of the producer or injector wells.
  • Stored in a “process historian” or database to be used for detecting changes that could indicate potential production losses or well problems.

Well Mode Calculations

Well mode calculations determine the operational mode of a well and an estimated real-time well flow rate. The calculation is based on the amount of pressure variation during a specific time period.

  • If the production wing valve is open, the well mode is either “stable” or “unstable.”
  • A stable well is within a particular variability threshold based on the previous behavior of that well.
  • An unstable well shows more variability than allowed.
  • If the well choke is closed, the mode is termed “shut-in.”

Real-Time Well-Rate Estimations

Oil, gas, and water rates are estimated on a performance curve for each well. Well capacities are revised on a weekly basis.

A Key Performance Indicator (KPI) called Well Performance measures performance with respect to estimated oil production capacity calculated in real-time.

  • KPI is below predetermined level – investigate well for production loss.
  • KPI significantly above predetermined level – you may have an invalid well model, substantial changes in production conditions, or an expected change in water cut.

Result Visualization

After cleansing, the data should yield a true picture of well performance that can be graphically presented to the operator and engineers that clearly shows areas of poor performance or potential damage that require immediate maintenance, repair, or adjustment.

The ability to obtain clean, real-time data with signal noise and non-natural signal values removed, leads to more accurate well-rate estimations and models indicating areas of concern for engineers and operators.

Advantek’s @SSURE® platform is a cloud-based real-time injection well modeling and monitoring platform capable of meeting your surveillance needs.