Data Science, Production Optimization

What Is OspreyData Science?

Our science and methodological approach is simple: Our expertise meets your expertise to empower your wells. Whether is it ESP, Rod Pump, Gas Lift, Plunger Lift, or Downhole Analysis, our approach is to help you optimize production. Below, we will discuss our our OspreyData science works:  1. We monitor and
Data Science

A Quick Intro to Data Science

When using data science, labeling events that occur in the field within the system is critical. With accurate labels and comprehensive well data, the raw materials are then available to train AI/ML models. But these raw materials need to be used the right way to create models that are comprehensive
Data Science

Getting To Know AI and ML Models

In Artificial Intelligence(AI) and Machine Learning (ML), a model replicates a decision process to enable automation and understanding. AI/ML models are mathematical algorithms that are “trained” using data and human expert input to replicate a decision an expert would make when provided that same information. Ideally, the model should also
Data Science, Petroleum Expertise

Gas Lift Optimization In Context of Oil & Gas Prices

In 2019, the United States was the largest producer of oil in the world, producing 19.5 million barrels of oil per day. The U.S. oil production rates have more than doubled during the last decade. According to the U.S. Energy Information Administration, about 63% of this produced oil comes from
Data Science

Our Solutions to Data Quality Issues

We often discuss how a Production Operations team needs a centralized data backbone across the operational teams. With our Unified Monitoring solution, we are often on the front line for integrating multiple Production Systems. When we talk about lessons learned in Data Quality, how does OspreyData fit into an integration strategy
Data Science, Petroleum Expertise

6 Common Data Quality Issues and the PPDM Data Model

In Production Operations, more and more devices have data collection and the type and frequency of the data collected is growing exponentially. We often hear from organizations about their struggles with their available data. It may be collection, or retention, or the quality. This is even regardless of the size of
Data Science, Production Analytics, Unified Monitoring

Digital Twins: Ideas On Increased Diagnostics In Oil Fields & Platforms

In the recent April 2020 Journal of Petroleum Technology article, Upstream Digitalization is Proving Itself in the Real World, the author wrote about “Using the Cloud To Turn Big Data Into Smart Data” and how Digital Twins are being used to increase evaluations and diagnostics within oil fields and platforms.
Data Science, Expert-Guided Machine Learning

Expert-Guided Machine Learning Gives Operators Value & Control

Once validated models are created and they match what operators want, the final step is to deploy the models on live data. This is when we actually deliver value in real-time to help operators address problems and make changes quickly. All too often, model training and deployment are two very
Data Science

Collaboration is Key with Expert-Guided Machine Learning in Your Digital Oilfield

One of the most difficult challenges of digital oilfield projects is requiring people who would not choose to work together, to collaborate for success. Operators and Data Scientists tend to be very different people, and these types of projects push them to work together, typically under fire from management to