FORESIGHT continuously analyzes live ESP and well data to detect abnormal conditions and emerging failures before production is affected.
Combining AI, physics-based modelling, and domain expertise, FORESIGHT transforms raw data into actionable intelligence, evaluating operating envelopes, equipment stress, and failure indicators to enable confident real-time decisions.
FORESIGHT’s Physics-driven, rule-based ML approach detects imminent problems before they occur, helping to drastically reduce downtime losses per well.
Live data is integrated and continuously analyzed using AI-Physics models to detect abnormal behavior and raise early warnings, enabling end users to take timely actions to prevent trips, failures and further damage.
Digital twin capabilities are implemented, creating an optimal combination of Physics- and data-based models.
Continuously monitors ESP performance in near real time, identifying shifts in operating behavior, loading conditions, and equipment response. Physics-guided intelligence ensures operation stays within recommended limits and detects early degradation, enabling proactive intervention before production or equipment integrity is compromised.
Continuously assesses operating behavior and degradation trends to predict ESP failure risk and estimate remaining useful life, enabling proactive intervention rather than reactive response.
Automatically calibrates physics-based models using live operating data, improving the accuracy of virtual flow metering, pressure estimation, and other critical operating parameters.
Seamlessly integrates with live ESP and well data streams, continuously validating data quality and updating surveillance, risk assessments, and predictions in real time.
Reliable prediction of ESP failures to meet common ESP-related operating challenges.
Reducing production loss due to ESP downtime (minimized differed production).
Increased productivity by providing more time to business planning and decision-making.
Better planning facilitated for the allocation of rigs.
