Quick Time to Value

ROI Case Study: Gas Lift Hole in Tubing

A hole in tubing for a gas lift operation is pretty difficult to detect before it happens; therefore, today’s case study is particularly interesting.  Note, in a previous blog on early event detection, we mentioned that our solution can examine calculated sensors. In the demonstration table above, we have readings
Quick Time to Value

ROI Cast Study: Gas Influx

In today’s example case, we are looking at the early detection of gas influx. This is an ESP sub-optimal state. In the demo slide above, we are looking at sudden fluctuations in amperage and tubing pressure. There is an increase in casing pressure as we can see.  At the end
Quick Time to Value

ROI Case Study: Early Event Detection of Tubing Failure

Tubing Failure Early Event Detection of a tubing failure can help you regain $3M or more in your oilfield.  In this example, we examine rod pump #10 and an example of its tubing failure. With OspreyData’s Production Intelligence solution, we are able to look at sensor data such as casing
Tags :  ,
Quick Time to Value

Traditional vs. OspreyData Failure Detection Timelines

Failure detection timelines really help us drive home the point of how OspreyData’s Production Intelligence solutions can maximize your production even in the face of inevitable failures.  In the graphic above, we demonstrate the difference between the traditional failure model verses our early detection model.  Below, we explain the difference