(161c) Best Practices for Performing Data Mining from Unstructured Data for Mechanical Integrity
AIChE Spring Meeting and Global Congress on Process Safety
2016
2016 AIChE Spring Meeting and 12th Global Congress on Process Safety
Global Congress on Process Safety
The Evolution of Mechanical Integrity – Lessons Learned and What Lies Ahead
Wednesday, April 13, 2016 - 9:00am to 9:30am
This presentation reviews best practices for accomplishing these tasks using modern methods which incorporate machine intelligence to auto-locate relevant data and execute data extraction, and use database rules to improve data quality prior to ingestion into predictive analytics software applications used to predict failure and better manage CAPEX and OPEX. The benefits to the operator and engineering community include reduced costs to perform the same amount of work, in shorter time frames and allowing engineering resources to focus on higher level tasks.
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