In several of the past SPE conferences, as well as other forums there has been a call for dialog around data quality and the value it would bring to the drilling operations community for understanding the validity of real time data. This paper continues those conversations with a discussion into some of the basic mechanisms that can be employed to understand the quality of data received in real-time. It will expand on the ideas around how this can be implemented generically in a real- time operational support system and the benefits of such a system that can be deployed regardless of the process or naming conventions used by at the original point of acquisition. This paper will explore some of the available ways to monitor and measure the quality of real-time data as well as the practical value of understanding each of these measurement’s validity. It will also touch on a few of the benefits that the end-consumers will see in having a standardized mechanism of determining the quality of the data they are using in calculations, monitoring and reporting. This road to data quality however has several limitations when only using open standards such as WITSML, therefore we will explore the options that are available as well as a few of the practical limitations imposed by these standards.

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