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This paper illustrates how analytic-driven reporting systems and text mining software can help improve the safety of workers and mining processes in the oil and gas industries. Analytic-driven reporting systems and text mining can identify quickly and accurately the key metrics that are captured from accident and hazard reports. This can shorten review cycles by automating the manual tasks of reading detailed comment blocks and textual fields, and help discover factors that may have been overlooked in the pursuit of safety improvements.
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