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Development of a new method for the removal of hydrocarbon contaminants from bituminous sands
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The fabrics of deep-sea detrital muds and mudstones: A scanning electron microscope study
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Probabilistic data-driven predictive models for energy applications
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Local ground-level ozone policies: Governance structure and institutions In achieving federal attainment
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Robust real-time algorithms for processing data from oil and gas facilities
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Dynamic latent structured data analytics
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Empirical study of informational regularizations in learning useful and interpretable representations
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Real-time reservoir characterization and optimization during immiscible displacement processes
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Stochastic oilfield optimization under uncertainty in future development plans
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WOLAP: wavelet-based on-line analytical processing
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Adaptive and resilient stream processing on cloud infrastructure
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Parameter estimation to infer injector-producer relationships in oil fields: from hybrid constrained nonlinear optimization to inference in probabilistic graphical model
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Investigating statistical modeling approaches for reservoir characterization in waterfloods from rates fluctuations
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Intelligent signal processing for oilfield waterflood management
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Economic model predictive control for building energy systems
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energy_consumption.eps
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Modeling and recognition of events from temporal sensor data for energy applications
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Stochastic data assimilation with application to multi-phase flow and health monitoring problems
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Applying semantic web technologies for information management in domains with semi-structured data
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A provenance management framework for reservoir engineering
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Performance monitoring and disturbance adaptation for model predictive control
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Understanding and exploiting the acoustic propagation delay in underwater sensor networks
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Intelligent systems for decision support
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