Drilling

Digitalization and automation of the drilling process drive the need for an interoperability platform in a drilling operation, where a shared definition and method of calculation of the drilling process state is a fundamental element of an infrastructure to enable interoperability at the rigsite.
This paper highlights a new online system for monitoring drilling fluids, enabling intelligent control of drilling-fluid performance.
This paper investigates the use of machine-learning techniques to forecast drilling-fluid gel strength.

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