Co-presentation with Occidental Petroleum Corporation at OSIsoft Houston Conference, October 8, 2019
In this case study, leveraging PI AF and creating an efficient data pipeline, enabled by TwinTalk, feeds an advanced data analytics system that detects anomalies. The anomaly findings reduce downtime for offshore oil and gas platform equipment. Housed in Google Cloud Platform (GCP), the system ingests more than ten thousand rows of interpolated data per minute from the OSIsoft PI Archive data sources. The PI System coupled with TwinTalk helps lower operational costs and provides an easier self-service mechanism. This enables faster data-driven outcomes by lessening complex custom-coded data pipelines. Also demonstrated, is how analytical results and operations data are combined to allow informed decisions. Download the presentation and learn more about TwinTalk here OSIsoftPIEnabledDataPipelinesforCloudAnalytics.pdf.
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