القياس الافتراضي للتدفق
Estimates each well’s oil, water and gas rate continuously from pressure and temperature, between the physical tests.
Predicts where wax, hydrate, scale or slugging will form in the flowline before the line blocks.
Flowline blockages are handled reactively with chemical squeezes and pigging on a fixed calendar, whether the line needs it or not. The calendar is set by the worst line in the field, so most lines are over-treated and one is still under-treated.
Thermal-hydraulic modelling along the flowline is combined with fluid composition and ambient conditions to predict wax appearance, hydrate formation envelope and scaling tendency as functions of position and time. Predicted risk drives a condition-based chemical and pigging schedule instead of a calendar.
Predictions depend on laboratory fluid characterisation that many operators have not done recently, or at all, for the current fluid composition. Using a wax appearance temperature measured before water breakthrough produces confident and wrong answers, so the capability requires current fluid analysis as a delivery precondition rather than a nice-to-have.
كل صفحة قدرة تذكر حداً حقيقياً. إن لم يستطع المورّد إخبارك أين يتوقف منتجه، فلم يُقل لك الحق عن أين يبدأ.
Estimates each well’s oil, water and gas rate continuously from pressure and temperature, between the physical tests.
Predicts where a line is corroding fastest and how long it has left, so inspection and replacement go where the risk actually is.
Extracts fluid study data from decades of laboratory reports and tunes the equation of state against all of it, not against the one report someone had to hand.
When a well drops, it names the likely cause — scale, water breakthrough, lift failure, choke or reservoir — instead of only flagging the drop.
Watches the downhole pump’s electrical and pressure signature to warn of gas lock, wear or burnout before the well stops.