There are many terms and definitions thrown around in the AI and ML space that it can be confusing even to trained data scientists. We have used many of these terms around our website. It may be helpful to define these terms to ensure we’re clear on all of the
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
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
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
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
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
There are many terms and definitions thrown around in the AI and ML space that it can be confusing even to trained data scientists. We have used many of these terms around our website. It may be helpful to define these terms to ensure we’re clear on all of the
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
In AI/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 reveal the rationale behind its
