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Company News, Employee Spotlights

Employee Spotlight: Venkat Putcha, Senior Data Scientist

At OspreyData, we value our amazing team and appreciate the uniqueness of each individual, as it makes us a complete team! Here, we will introduce one of our great team members! Your Name: Venkat Putcha Your Role at OspreyData: Senior Data Scientist & Petroleum Engineer Brief description of your training, education,
Single Tool

Traditional Simulation Vs. OspreyData

What does traditional simulation vs. OspreyData Production Intelligence Solutions look like? With regards to Manual Optimization, for each well, an expert engineer has to spend up to one day to find the appropriate metadata, cleaning other data, entering it into the simulation software and building simulation models. For an unconventional
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Production Optimization, Quick Time to Value

Decision Case Study: Optimize 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. 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

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
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Company News, 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
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Jon Snyder Colorado school of mines digital oilfield unified monitoring
Company News, Events

Jon Snyder Recently Spoke at Colorado School of Mines

OspreyData’s Customer Engagement Manager, Jon Snyder, had the pleasure to present at his alma mater, Colorado School of Mines. The Mines’ Petroleum Engineering department recently started a Petroleum Analytics program to enhance students’ ability to analyze large sets of data specific to the oil and gas industry. Jon spoke of some of the
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
Predictive Analysis

Event Detection: What Kind of Events Can AI Detect?

When it comes to event detection, a common question we receive is, what kind of events can AI detect?  We sub-categorize these events of interest into four different types: 1) High-Risk Events, 2) Sub-Optimal States, 3) Events Needing More Lead Time, and 4) Silent Killers. We will explain these event