Quick Time to Value

Failure Detection Timelines for AI vs. Traditional

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 versus our early detection model.  Below, we explain the difference
Quick Time to Value

A Case Study: Early Event Detection of Tubing Failure

Yesterday, we looked at why data quality is important. It leads to early detection, which we will explore here with an ROI Case Study. 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
Tags :  ,
Quick Time to Value, Unified Monitoring

A “Day in the Life” with a Production Engineer

With some key objectives in mind, we have developed a set of building blocks. We believe an effective monitoring solution must have robust abilities that can do the following: Visualize, annotate and track complex time series sensors across devices and lift types Construct and configure meaningful, actionable dashboards and reports
Production Optimization, Quick Time to Value

Case Study: Optimization Across High Volume of Wells

Learning how to optimize across a high volume of wells is one of the key features of our Production Intelligence Solutions. Not too long ago we had the WTI oil prices below $40/barrel. At this time, producing more oil was not economically viable, so reducing the production costs through optimization
Quick Time to Value

Start Saving Time with Production Unified Monitoring

With Production Unified Monitoring, one of the biggest motivations or starting point for OspreyData’s was to create a single “data backbone” of operational data – one place where the data gets connected. For most petroleum engineers or operators, having multiple systems or data in disparate systems becomes problematic over time.
Quick Time to Value, Unified Monitoring

Unified Monitoring Offers Many Solutions

The benefits of Unified Monitoring start with centralized surveillance. The platform scales across wells, fields, and teams – allowing operators to share data across their entire enterprise. With a common view of information using a single tool, training is accelerated. In addition to it’s lift specific visualizations and analytic solutions,
Quick Time to Value

Case Study: Early Event Detection of a 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 :  ,
Production Optimization, Quick Time to Value

Case Study: Optimization Across a High Volume of Wells

Learning how to optimize across a high volume of wells is one of the key features of our Production Intelligence Solutions. In times of lower oil prices, reducing the production costs through optimization become more important. When we have a large volume of wells what do we do? Solution: We
Quick Time to Value

Advantages of Automating Gas Lift Optimization

There are many advantages to automating gas lift optimization, but we’ll discuss just a few here. When considering machine learning approaches, there are too many wells and too few engineers to constantly monitor, analyze, update and evaluate the gas injection rate to establish optimal lift performance. A typical simulation model