Relative permeability (kr) function describes the comparative ease by which different fluids flow in a porous medium and plays an influential role in numerical simulation of petroleum reservoirs. Since, the measuremen...
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ISBN:
(纸本)9781629937915
Relative permeability (kr) function describes the comparative ease by which different fluids flow in a porous medium and plays an influential role in numerical simulation of petroleum reservoirs. Since, the measurement of relative permeability, especially three-phase ones, in laboratories is time consuming and expensive, much research has directed towards developing correlations for estimating the three-phase relative permeability values. One assumption used in reservoir simulation is that relative permeability curves of different rocks with similar lithology and pore size distribution depict identical behaviour if expressed against normalised (mobile) fluid saturations. This paper present the results of a study carried out to assess the validity of this assumption for two-phase and three-phase flow systems. A set of two-phase (oil/gas) and three-phase (oil/gas/water) unsteady-state coreflood experiments were conducted on two Clashach sandstone samples with permeabilities of 1000 mD and 65 mD. The relative permeability curves for each experiment were then obtained by mathematicalmodelling of the coreflood tests and matching the laboratory measured data. Comparison between the measured two-phase oil/gas kr of the two cores show that the relative permeability curves versus mobile (normalized) saturation for the 1000 mD core are close to that of the 65 mD rock. This demonstrates that in the absence of measured relative permeability data for a low permeability core, the available data for a higher permeability core with similar lithology can be used for the low permeability rock and vice versa. However, this was not the case for three-phase kr. Comparison of the three-phase relative permeability obtained for water, oil and gas in the two cores shows significant difference for the two cores even when plotted againest normalized saturations. Hence, the simulation of the coreflood experiment involving three-phase flow carried out on the 65 mD core using the relative perme
Parallels between the dynamic response of flexible bridges under the action of wind and under the forces induced by crowds allow each field to inform the other. Wind-induced behaviour has been traditionally classified...
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Parallels between the dynamic response of flexible bridges under the action of wind and under the forces induced by crowds allow each field to inform the other. Wind-induced behaviour has been traditionally classified into categories such as flutter, galloping, vortex-induced vibration and buffeting. However, computational advances such as the vortex particle method have led to a more general picture where effects may occur simultaneously and interact, such that the simple semantic demarcations break down. Similarly, the modelling of individual pedestrians has progressed the understanding of human-structure interaction, particularly for large-amplitude lateral oscillations under crowd loading. In this paper, guided by the interaction of flutter and vortex-induced vibration in wind engineering, a framework is presented, which allows various human-structure interaction effects to coexist and interact, thereby providing a possible synthesis of previously disparate experimental and theoretical results.
Requirements modelling helps software engineers understand a system's required behaviour and explore alternative system designs. It also generates a formal software specification that can be used for testing, veri...
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ISBN:
(纸本)9781467330763
Requirements modelling helps software engineers understand a system's required behaviour and explore alternative system designs. It also generates a formal software specification that can be used for testing, verification, and debugging. However, elaborating such models requires expertise and significant human effort. The paper aims at reducing this effort by automating an essential activity of requirements modelling which consists in deriving a machine specification satisfying a set of goals in a domain. It introduces deontic input-output automata - an extension of input-output automata with permissions and obligations - and an automated synthesis technique over this formalism to support such derivation. This technique helps modellers identifying early when a goal is not realizable in a domain and can guide the exploration of alternative models to make goals realizable. Synthesis techniques for input-output or interface automata are not adequate for requirements modelling.
This paper deals with the effect of laminations on natural frequencies of asynchronous machine magnetic core. Measurement of natural frequency of stator core is presented. Numerical model and calculation of natural fr...
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ISBN:
(纸本)9781479901159
This paper deals with the effect of laminations on natural frequencies of asynchronous machine magnetic core. Measurement of natural frequency of stator core is presented. Numerical model and calculation of natural frequency of core is described in next part. Comparison of measurement and mathematical model is discussed.
This paper presents an outline of human-human interaction to establish a framework to understand how a behaviour based approach can be developed in the design of a human-robot interactive strategy. To approach the con...
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ISBN:
(纸本)9781467362238
This paper presents an outline of human-human interaction to establish a framework to understand how a behaviour based approach can be developed in the design of a human-robot interactive strategy. To approach the conceptual design guidelines for an interactive human-robot strategy, the mathematical model of humanbehaviour during transferring the compliant object to a receiver without any types of communication has been strategically analysed. The Auto Regressive Moving Average with Exogenous Input (ARMAX) system identification has been applied to identify the human arm model. A set of experiments have been designed (based on Box-Behnken), along with the influence variables affecting the human forces, which consist of mass, friction and target displacement. The estimated ARMAX models were shown to be good matching with the actual experimental data, where the best-fit percentages of human force profiles are between 88.73% - 97.2%;the proposed models can then be used to present the human arm characteristics effectively.
We explore the influence of the choice of attenuation factor on Katz centrality indices for evolving communication networks. For given snapshots of a network observed over a period of time, recently developed communic...
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Region segmentation is an important and challenging task. The applications range from tumour detection in medical imaging, computer aided surveillance, object location, pattern separation etc. Sparsity based data mode...
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Region segmentation is an important and challenging task. The applications range from tumour detection in medical imaging, computer aided surveillance, object location, pattern separation etc. Sparsity based data modelling in recent times have produced state of the art results in many image processing tasks. In this paper, we propose a semi-interactive region segmentation in sparse framework. Proper data modelling is the key to learning based segmentation. We propose a hybrid feature vector which is a combination of weighted RGB values and the proposed histogram estimated by first multiplying Gaussian weight to each count of the pixel intensity according to its respective position in the patch. We study the effect of various parameters such as patch size, number of atoms in dictionary, number of training feature vectors and sparsity constraint on the segmentation behaviour. We test our proposed segmentation algorithm on the subset of images from BSDS300 (Berkeley Segmentation Dataset).
Denial-of-Service attacks (DoS) have become a widespread problem on the Internet. These attacks are easy to execute. Low rate attacks are relatively new variants of DoS attacks. Low rate DoS attacks are difficult to d...
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Denial-of-Service attacks (DoS) have become a widespread problem on the Internet. These attacks are easy to execute. Low rate attacks are relatively new variants of DoS attacks. Low rate DoS attacks are difficult to detect since attacker sends attack stream with low volume and the countermeasures used to handle the high rate DoS attacks are not suitable for these types of attacks. RTS/CTS attack is one type of Low rate DoS attack. In this paper, we analyze RTS/CTS attack which exploits the medium reservation mechanism of 802.11 networks through duration field. We propose variants of RTS/CTS attacks in wireless networks. We simulate the attacks behaviour in ns2 simulation environment to demonstrate the attack feasibility as well as potential negative impact of these attacks on 802.11 based networks. We have created an application that has the capability to create test bed environment for the attacks, perform RTS/CTS attacks and generate suitable graphs to analyze the attack's behaviour. We also briefly discuss possible ways of detecting and mitigating such Low rate DoS attacks in wireless networks.
The paper presents the preliminary design and modelling of a point absorber wave energy converter consisting of a floating buoy connected to a tubular linear generator fixed at the seabed. The behaviour of the device ...
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The paper presents the preliminary design and modelling of a point absorber wave energy converter consisting of a floating buoy connected to a tubular linear generator fixed at the seabed. The behaviour of the device is described by the equation of motion of a single body system restricted to vertical motion. The model of the coupled buoy-generator system is used to simulate the behaviour of the wave energy converter under regular waves of different heights and periods. Then the electricity production of an hypothetical installation off the Alghero coast is estimated. The results show that the device capacity factor at the study site is around 15%. This is a very promising value considering that the studied device has not been specifically optimized for the Alghero wave climate. The work suggests that the presented technology could be very attractive for the Italian offshore.
Management of patient flow, especially the flow resulting from health crises (exceptional situations) in emergency departments (ED), is one of the most important problems ED managers have to deal with. Emergency depar...
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Management of patient flow, especially the flow resulting from health crises (exceptional situations) in emergency departments (ED), is one of the most important problems ED managers have to deal with. Emergency departments require significant human and material resources to handle this influx of patients, but these are limited and so the medical and paramedical staff are often confronted with strain situations. To deal with these situations, emergency departments have no choice but to adapt. The main purpose of this paper is to characterize these strain situations and introduce a new framework to model these situations in an emergency department (ED) in order to improve their management by the hospital system. The proposed framework integrates an ORCA (Architecture for an Optimized and Reactive Control) approach to proactively schedule (where possible) the behaviour of a hospital system and to handle strain situations reactively.
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