Predictive reliability is an often sought after but challenging use case in data science. The idea of avoiding failures by monitoring the health of a system and applying advanced algorithms…
Challenge The company was looking for efficiency in the process of working with its customer who wishes to start, change, or stop their service Wanted a simplified approach to allow…
Challenge 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 Solution…
Challenge Large oil producer is interested in understanding the ongoing effectiveness of their downhole pumps to lift fluid to the surface. Pumpjack failures proved difficult to detect using rule-based diagnostic…
Challenge Inaccurate tank levels lead to inefficiencies in device maintenance and operational planning Need for accurate forecasts to minimize leaks, spillage, and downtimes Identify equipment failure as well as maintenance…
Work stoppages cost companies money. It’s no secret, no great mystery. The longer the stoppage and the bigger the company, the greater the revenue loss and operating cost respectively. Fortunately,…
Predictive maintenance is the initiative to predict (major) failures or breakdowns within specific equipment that will significantly impact the business. In this age of digital transformation, that business concept is…
Industrial pumps account for an estimated 7 percent of maintenance costs of a plant or refinery, while their failures are responsible for 0.2 percent of lost production (UpstreamPumping). This may…
Neal Analytics is delighted to be a Microsoft partner delivering free Power BI workshops all over the United States. By attending Dashboard in a Day, you will quickly learn the…