Data – Models – Predictive Analytics
SOTAOG captures real-time data from sensors or systems, many already in place. In instances where companies have multiple systems that do not integrate nor talk to each other, SOTAOG can seamlessly connect/integrate the data using our cloud based solution. Real-time data can include things such as casing/ tubing pressure, tank levels, min/max surface loads, compressor/ machine parameters or many others. Additionally, data can be directly ported from systems SCADA, Cygnet or well POC’s.
Our models are robust. We incorporate proprietary algorithms and utilize several models including Decision Tree, Regression, Multi-classification and Neural Network models. The training and testing of our models leads to predictive analytics designed to drive production optimization, overall water management, advanced detection of anomalies or utilized for predictive maintenance. The more data that is captured drives the machine learning process.