Scaling Industrial IoT in the Upstream Energy Industry (Cloud Next '19)

Oil and gas production is distributed in nature, with thousands of assets spread across hundreds of square miles. These factories without walls are often exposed to harsh environmental factors not present in other industrial settings, creating unique and daunting challenges for the implementation of IoT. With the goal of continuously improving operations in real-time, IoT provides a novel source high fidelity, high resolution data. This enhanced connectivity and measurement capability enables us to rapidly and automatically detect changes to operational conditions, even those imperceptible to human operators, and in turn allows Anadarko data scientists to derive new insights regarding equipment health and asset performance. In this session, we’ll describe how we’re leveraging GCP’s infrastructure to connect all of our drilling rigs and completions assets in the United States. Anadarko developers are using GCP native stack to build applications that monitor drilling operations providing real-time performance measurement and advisory control recommendations to drillers in the field. We will provide a live demo of our application integrating Pubsub, DataFlow, Big Query and AutoML to deploy models to support real-time monitoring of operations. GCP Technology → https://bit.ly/2K87hhG Watch more: Next '19 IoT Sessions here → https://bit.ly/Next19IoT Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions Subscribe to the G Suite Channel → https://bit.ly/G-Suite1 Speaker(s): Sanjay Paranji, Nick Losier, Eric Garcia, Ryan Gillard Session ID: IOT104 product:Cloud ML Engine,Cloud TPU,AI,TensorFlow; fullname:Sam Silverberg; http://bit.ly/2P4L2Yz G Suite April 11, 2019 at 10:03PM