Engineers are saving hours each day previously spent toggling between multiple applications and scrolling through rows of data. They are leveraging the eLynx Data Historian to combine data from multiple systems to look for well conditions at scale. The eLynx Data Historian provides engineers with a Rules Engine, allowing them to capture complex criteria and conditions in a single platform, then displaying the results in a Production Dashboard drawing awareness to only the wells needing immediate attention.
Traditional SCADA alarms allow the evaluation of a single variable with limited conditions. Whereas with the eLynx Rules Engine, engineers can create rules far more complex by including multiple variables, different durations, and complicated calculations, such as: sharp or gradual increases or decreases, related or independent variable deviation or convergence, or slope changes.
Currently, engineers have implemented rules that are being used to capture conditions like liquid loading, stuck motor control valves, systematic line pressure issues, rod sticking, out of spec product, artificial lift type changes, etc.
Engineers can test the effectiveness of a rule on historical data and make any needed modifications prior to making the rule live to ensure meaningful results. If a rule’s efficacy on a specific well is not performing as intended, they can fine tune the rule parameters for that single well or remove the rule entirely, while leaving other wells untouched
Once the rules have been vetted and are running in the production environment, engineers leverage the eLynx Production Dashboard for their morning workflow. Wells are organized into prioritized groups, drawing immediate attention to those wells needing closer inspection. Engineers can quickly understand the production impact, view any associated trends, understand the well’s history by viewing field notes and control settings changes, and take immediate action all from one screen.
Rules that are built can ultimately be leveraged for machine learning initiatives with the creation of a labeled time series data set. All event metadata created by the Rules Engine can be exported via report or API and feed into data science initiatives seeking to discover new correlations. Thus, leading to more advanced actionable warnings, promising to minimize production impact or equipment damage and failure.
Book a session today with one of our team members or contact us at 877-643-5969.