Gas well failure events result in significant lost natural gas production
Limited visibility into potential causes of website shutdowns
Maintenance planning lacks a complete view of asset health
Leveraged sensor signals to classify the condition of well, gas lift compressors, saltwater disposal pumps, heater treaters, and other well pad devices.
Created data features that capture recent device behavior
Identified “Normal” and “Pre-Shutdown status for good pads
Key data inputs included:
Facility pad configuration
Unscheduled Maintenance records
PAD/Device level data
Ambient weather condition
Facility downtime information
Detected potential shutdowns within a 12-72 hour window to allow preventative maintenance action
Developed approach to increase well production through unscheduled downtime prediction
Created ROI methodology for retrofitting sensors on legacy well pads
About Neal Analytics
Neal Analytics is a cloud, data, and AI Microsoft Gold consulting partner supporting data-driven transformation initiatives from data strategy to solution design, architecture, development, operationalization, and support.
Our expertise spans across migration and modernization, data science, AI/ML, IoT, edge computing, BI, application development, and RPA.
With a focus on right-sized and pragmatic approaches towards digital transformation, Neal leverages Agile methodologies and flexible engagement models to deliver measurable customer value.