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Design space exploration for asset development in smart oilfields
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Data-driven performance and fault monitoring for oil production operations
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Efficient and accurate in-network processing for monitoring applications in wireless sensor networks
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Performance monitoring and disturbance adaptation for model predictive control
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Concurrent monitoring and diagnosis of process and quality faults with canonical correlation analysis
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Inferential modeling and process monitoring for applications in gas and oil production
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Stochastic data assimilation with application to multi-phase flow and health monitoring problems
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Process data analytics and monitoring based on causality analysis techniques
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Probabilistic data-driven predictive models for energy applications
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Modeling and recognition of events from temporal sensor data for energy applications
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Dynamic latent structured data analytics
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Real-time reservoir characterization and optimization during immiscible displacement processes
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Provenance management for dynamic, distributed and dataflow environments
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A provenance management framework for reservoir engineering
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Flood front tracking and continuous recording of time lag in immiscible displacement
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Design of cost-efficient multi-sensor collaboration in wireless sensor networks
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Robust real-time algorithms for processing data from oil and gas facilities
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Adaptive and resilient stream processing on cloud infrastructure
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Gas migration from oil /gas fields and gas storage fields: Environmental implications
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Understanding and exploiting the acoustic propagation delay in underwater sensor networks
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energy_consumption.eps
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Non‐steady state Kalman filter for subspace identification and predictive control
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Demand response management in smart grid from distributed optimization perspective
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