Abundant operational and fluid system related issues can be found during hydraulic fracturing operations that can be attributed to dynamically changing source water or chemistry addition.The lack of real-time measurements of fluid parameters along with minimal integration with process parameters limits the insight into how these dynamics are impacting the process..The scope of this study is to show a comprehensive data collection and analytics system that includes real time measurements of fluid system chemistry and combines process data to generate important KPI metrics that can be carefully monitored based on changes from different stimuli.The real-time analytical solution combines an independent hardware system that can collect fluid chemistry parameters from the clean and slurry side of the frac blender and it integrates it with existing SCADA,3rd party sources,or publicly available datasets for in-depth comparative analysis.This solution manages to break the persistent information silos by creating consistent and validated data sets and enhances the value of common frac data by coupling it with fluid chemistry information,and other data sources.Once the data is stored in a database,the software part of the solution creates important pad/well metrics,crew summary and comparison,contrast stages for optimal designs,track actual quantities of materials employed and compare it with designed,and rapidly identify outliers and summarize KPIs in automated reports.Data can be viewed at the pad,operator or geographic region level,providing an engineering and business tool that provides dashboards and enhanced visualization for On-Site and remote monitoring of KPIs.The system provides pad filtering tools to identify fluid systems dynamics and discriminate different fluids occurring in one stage and flag potential events.This tool has achieved detection of operational issues like high corrosion events due to acid leaks by tracking continuously sudden changes in PH and conductivity.Detected overpumping of ClO2 by constantly monitoring ORP and PH.Without taking note of any of these events,issues with friction reduction and surface pressure would have happened adding and increasing operational NPT.Additional KPI's were calculated including the evaluation of fracture propagation quality by implementing a diagnostic tool that works to detect potential screen outs.Pressure decay Shut-in analysis was used to automatize the identification of ISIP and a method was developed to detect wellhead opening pressure.Determination of crew NPT by stage classification along with crew performance.The tools added value lies in the determination of frac metrics,KPIs and dashboards that are monitored in real time so immediate action can be taken by operational decision makers.This system provides asset and logistics metrics through fluid,chemical and sand supply chain to water and completion managers.By identifying and defragmenting these high-value datasets and visualizations these data sets will become the basis for predictive analysis and machine learning to automatically identify events.
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