Industrial process data are usually mixed with missing data and outliers which can greatly affect the statistical explanation abilities for traditional data-driven modeling methods. In this sense, more attention should be paid on robust data mining…
The control and managing of pipelines have been assuming a major importance for all kinds of fluids to be conveyed through. When the fluid is like oil, harmful liquid and/or water for human beings necessity, the monitoring of pipelines becomes…
A novel sensor-based approach for leak detection of oil pipeline is proposed. The approach uses piezoelectric sensor in dynamic pressure transducer. The key to the detection algorithm is the use of the characteristic of piezoelectric sensor: when…
The Internet of Things (IoT) has been widely adopted in a range of verticals, e.g., automation, health, energy, and manufacturing. Many of the applications in these sectors, such as self-driving cars and remote surgery, are critical and high stakes…
Civil infrastructure provides the range of essential services generally necessary to support a nation's economy and quality of life - arguably entire economies rely on the ability to move goods, people, and information safely and reliably.…
Pipeline networks dominate the oil and gas midstream sector, and although the safest means of transportation for oil and gas products, they are susceptible to failures. These failures are due to manufacturing defects, environmental effects, material…
Development decisions for petroleum fields are costly and difficult because they involve long-term projects with complex systems and high level of uncertainties. Decision makers may reduce reservoir uncertainties with the acquisition of additional…
Modular multivariable controllers use interconnections of single process variable-multiple control effort controllers (i.e. Coordinated Controllers) plus logic to control multiple, possibly constrained, process variables with multiple, constrained,…
The proliferation of power-to-gas technology can propound a tailored platform to physically integrate power systems and natural gas grids. These integrated energy systems with different spatial-temporal properties not only could provide significant…
In order to improve the economy of the park integrated energy system (PIES) and the capacity of renewable energy consumption, an optimal allocation method containing power-to-gas (P2G) is proposed. Firstly, the supply model of PIES is established by…
This article proposes a distributionally robust chance-constrained (DRCC) model for the optimal power-gas flow (OPGF) problem with uncertain wind power. In the proposed model, a unified affine policy is introduced to adjust the flexible resources in…
The coordinated operation of different energy systems, such as electrical, gas, and heating, can improve the efficiency of the whole energy system and facilitate the larger penetration of renewable energy resources in the electricity generation…
This article proposes a robust unit commitment (RUC) model for multiple types of energy sources based on the optimal uncertainty set. These energy sources are wind farms, thermal, hydro, natural gas, nuclear, and pumped-storage hydro power plants.…
We examine petroleum forensics from a pattern recognition and feature separation perspective in this work. Apportioning the environmental impact of oil spills is important for marine pollution studies. Robust fingerprinting of an unknown sample from…
Pipeline networks dominate the oil and gas midstream sector, and although the safest means of transportation for oil and gas products, they are susceptible to failures. These failures are due to manufacturing defects, environmental effects, material…
The robustness of the oil import network is critical to energy security, as approximately 70% of the oil consumed in China is obtained from other countries. However, during long-distance transportation, external shocks constantly threaten the…
Recent development in complex network theory has boosted the exploration of topological properties of various natural and man-made complex systems. Refinery system is a typical complex system in process industry. However, only plant at equipment…
To prevent slug-flow on offshore oil production units, controlling a subsea pressure is the recommended solution. However, the subsea pressure is not often available as a measurement. The top-side pressure is usually measured but it is difficult to…
Oil sands mining is an outdoor and continuous operation, conducted under all weather conditions. Robust and reliable image processing algorithms are called for to deliver accurate information with which operational decisions are made. Oil sands are…
For the detection of cracks and corrosion in pipelines an ultrasonic measuring system (pig) was developed. During the pipeline inspection there is no communication to the outside world, the accumulated data have to be stored on a mass storage device.…
This research has been motivated by the need for a reliable, robust, and cost-effective tool for internal pipe inspection with application to preventive and predictive maintenance. A new design for a visual inspection system for the interior of water…
As the capabilities of multiphase flowmeters increase, the problems of how to validate the performance of such instruments on-line also increases. This paper considers the extent to which simple capacitance sensors could be used to determine the…
The control and managing of pipelines have been assuming a major importance for all kinds of fluids to be conveyed through. When the fluid is like oil, harmful liquid and/or water for human beings necessity, the monitoring of pipelines becomes…
A novel sensor-based approach for leak detection of oil pipeline is proposed. The approach uses piezoelectric sensor in dynamic pressure transducer. The key to the detection algorithm is the use of the characteristic of piezoelectric sensor: when…
We examine petroleum forensics from a pattern recognition and feature separation perspective in this work. Apportioning the environmental impact of oil spills is important for marine pollution studies. Robust fingerprinting of an unknown sample from…
A mixed signal separation method based on RobustICA is proposed for the separation of the oil pipeline leakage signals. Due to the correlation between each source signal in pipeline transportation is very small, basically meet the requirements of…
After studying the status of Anqing petrochemical industry and analyzing its advantages and disadvantages, I suggest that the S.O.(Strength and Opportunity) should be taken as the Anqing Petrochemical Industry development strategy so as to make…
Pipeline networks dominate the oil and gas midstream sector, and although the safest means of transportation for oil and gas products, they are susceptible to failures. These failures are due to manufacturing defects, environmental effects, material…
Modular multivariable controllers use interconnections of single process variable-multiple control effort controllers (i.e. Coordinated Controllers) plus logic to control multiple, possibly constrained, process variables with multiple, constrained,…
Combining with artificial potential field and robust H∞ methods, the neural network (NN)-based adaptive synchronized tracking control is proposed for accommodation vessel (AV). The control task is to drive AV synchronous tracking floating production…
This paper proposes a robust day-ahead scheduling method for a multi-carrier energy system (MES), which would enhance the flexibility of power systems with a large sum of variable wind power. We build an MES model and propose an optimal MES schedule…
This article proposes a robust unit commitment (RUC) model for multiple types of energy sources based on the optimal uncertainty set. These energy sources are wind farms, thermal, hydro, natural gas, nuclear, and pumped-storage hydro power plants.…
There is a lot potential for mobile robots supporting responders mitigating various kinds of disasters ranging from manmade accidents with hazard materials to natural earthquakes with collapsed buildings. Although, there are many examples of…
Recent revolution of the electricity distribution sector, especially a deeper penetration of gas-fired distributed generations (DGs), intensifies the interdependence of electricity on natural gas distribution systems. Such integrated electricity and…
A robust security-constrained unit commitment (robust SCUC) model is proposed in this paper to enhance the operational reliability of integrated electricity-natural gas system (IEGS) against possible transmission line outages. In this work,…
Gasoline blending is an important operation in chemical industry. A good model for the blending process is beneficial for supervision operation, prediction of gasoline qualities and realizing model-based optimal control. Gasoline blending process…