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Fluid analysis programs have grown significantly in the past few years, as much as 2000 samples each day. Each sample requires a detailed report for the customer. The report includes historic data about the specific equipment, along with the equipment operating conditions. Because of the large amount of samples and amount of details that customers require, there has been a need for the data interpreter to become more efficient in handling their sample loads.
In "the old days", scientists would look at the overall data search for related information. Today, scientists have tools to assist in these efforts, which include trending methods, limit setting methods, cross correlation statistics, chemometrics applications, data mining applications, and data visualization tools.
This presentation is designed to outline and discuss the tools that are available for in-service fluid analysis data interpretation. Specific examples will include the use of TIBCO Spotfire for advanced data analytics and visualizations. The objective is to show that there are better means of collating, studying, cross-correlating, statistically processing, and visualizing the data. The ultimate goal of better visualizations is to assess the quality of data quickly, as well as assess the reliability of equipment.