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Title: Augmented Intelligence Applied to Natural Gas Ultrasonic Measurement
Author: E. Hanks, C. ONeill
Source: 2019 North American Custody Transfer Measurement Conference
Year Published: 2019
Abstract: We hear a great deal in the news about how Artificial Intelligence and the Internet of Things (IoT) is changing our lives, and how it will transform businesses across the globe. Its likely your business is already using some form of intelligence technology today. Research shows that on average nearly 80% of analysts time is spent collecting and gathering data, while less than 20% of their time is spent analysing and communicating results to stakeholders. This paper explores the extent to which the application of Augmented Intelligence developed from continuously collected metering diagnostics can automate measurement analysis. The paper analyses the results of applying augmented intelligence methods to natural gas ultrasonic metering systems. The paper demonstrates that integrating augmented intelligence techniques into operations improves efficiency by 1) lowering the operators time to resolve measurement issues, 2) lowering the number of adverse events 3) allowing for a greater focus on problematic stations. The result is that operators lowered their exposure to measurement error. The analysis indicates a steadily decreasing exposure to measurement error risk over time. After 4 years of implementation, the augmented intelligence methods were reducing risk by 1.3 Bcf/year (4M at 3/Mscf) per 100 meter sites.

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