Rocket science vs. data entry: the neglected problems that matter in oil testing

Posted by Ian Burgess on Sep 27, 2017 1:06:00 PM

This post is the first in our series on estimating human errors in crude quality and measurement. It can be easy for an oil company to invest too little in reducing human errors not because they are not important, but because they are hard to measure. The examples in the series will outline rough calculations measurement supervisors can use to decide whether a specific source of human error is worth further investigation.

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Topics: Oil Testing

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