... cases, enabling solutions for problems ranging from relatively simple to highly complex. Although focused on gas transmission, the methods employed could benefit diverse optimization challenges. artificial intelligence algorithm optimization problem machine learning evolution genetic...

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... can ensure the safety, efficiency, and environmental sustainability of their pipeline networks. The continuous innovation in real-time leak detection technologies underscores their critical role in modern pipeline management. air emission liquified natural gas (lng) artificial intelligence...

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... of the physics-based simulation model by leveraging data-driven algorithms. In addition, an independent machine-learning model is developed along with the physics-based model to provide a more economically efficient approach for liquid slug prediction. artificial intelligence reservoir surveillance...

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..., resulting in tighter and more effective real-time operations. Finally, the software provides a wealth of key operational and business information. In this paper we present some of the emerging solutions in this space and discuss potential benefits and pitfalls. operation artificial intelligence...

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... of the algorithms, and demonstrates computational performance for four variants of the load curtailment problem. gasmodel formulation relaxation artificial intelligence scientist implementation shriram srinivasan university curtailment sai krishna kanth hari optimization problem alamos national...

... this pressure-and-flow-rate solver to optimize for complex power contracts including demand terms, and to optimize drag-reducing additive (DRA) usage with full consideration of the DRA’s exact effects as it moves through the pipeline and degrades. dp algorithm optimizer artificial intelligence batch...

... technology in the pipeline industry. 1. PHMSA Code of Federal Regulation, Title 49 Part 195, production monitoring psig 2409 artificial intelligence machine learning pipeline production control liquid hydrocarbon gathering line reservoir surveillance sensitivity location transmitter scenario...

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... to a particular flowing scenario. midstream oil & gas artificial intelligence diffusion coefficient upstream oil & gas machine learning equation laplace transform crude batch united states government canada government psig 2303 brett christie psig 2303 crude linefill condensate...

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