Discover how optimizing computational pipeline monitoring (CPM) systems enhances leak detection and safeguards pipeline integrity. Real-time transient models (RTTMs) are the top choice for internal leak detection, scoring well in sensitivity, robustness, reliability, and accuracy. Best-in-class RTTMs streamline configuration, deployment, and maintenance, rewarding meticulous attention to detail. This session presents a case study on RTTM implementation, highlighting how key performance indicators (KPIs) and statistical analysis drive superior performance. We explore RTTM uncertainty components to define thresholds and demonstrate how decomposing the operational modes leads to an understanding of how to ensure reliability.

Learn how Emerson’s strategic initiatives facilitate a seamless transition towards a more sustainable global energy landscape. The North American Energy Standards Board (NAESB) is at the forefront of guiding the gas industry through this crucial energy transition. By focusing on advancements in digitalization, data transparency, and integrations with renewable energy sources, NAESB aims to ensure the gas sector aligns with long-term environmental goals. Leveraging innovative technologies and setting new standards to support the evolving role of natural gas in a cleaner, more efficient energy system is crucial. The industry must remain resilient, adaptative, and supportive of broader decarbonization efforts.

Learn how a leading natural gas transportation company in Mexico integrated gas commercial and operation activities to simplify daily routines and optimized business activities. Their commercial team can now accurately allocate capacity to shippers with higher priority contracts, while the operational team accurately predicts and plans for safe operation of the pipeline, maximizing the ability to efficiently deliver a variety of gas products. Real-time integration of these functions has streamlined operations, allowed effective scheduling and automation of manual processes. Line-pack management for the company improved, and the unaccounted-for-gas calculation is highly accurate.

The rapid advancement of AI has touched every aspect of our personal and professional lives. We showcase and discuss how the latest AI advancements, coupled with Emerson's 20 plus years of industry knowledge and experience, improves pipeline scheduling. You will see how AI can be used to simplify the schedule generation process and make scheduling a faster and more predictable exercise. Saving time on scheduling means pipeline companies can focus more on building better customer relations and business partnerships with their stakeholders.

See how to apply an RTTM to a CO2 pipeline for pipeline control and leak detection. This case study discusses motivation for the implementation, regulatory needs, and covers common challenges, which range from instrumentation, communications, and pipeline operations to specific CO pipeline for pipeline control and leak detection. This case study discusses motivation for the implementation, regulatory needs, and covers common challenges, which range from instrumentation, communications, and pipeline operations to specific CO2 challenges, such as composition. See the process of improving model accuracy and performance as well as an assessment of leak detection performance.   challenges, such as composition. See the process of improving model accuracy and performance as well as an assessment of leak detection performance.