The Experts below are selected from a list of 287508 Experts worldwide ranked by ideXlab platform
Wu Yu-shu - One of the best experts on this subject based on the ideXlab platform.
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Triple-continuum numerical well test Interpretation Method for a naturally fractured vuggy reservoir
Chinese Journal of Hydrodynamics, 2012Co-Authors: Wu Yu-shuAbstract:Based on conceptual mathematical model of multi-continuum flows,using Gauss-Newton inversion Method,an auto-match Method of triple-continuum numerical well testing pressure response curve for a naturally fractured vuggy was presented and exemplified.It was pointed that it is very important to select a reasonable initial model and disturbing value and to determine inverted parameter according to the result of sensitivity analysis.This Method was used successfully in well test Interpretation in the Tahe oilfield.
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Triple-continuum numerical well test Interpretation Method of oil-water flow for a naturally fractured vuggy reservoir
Chinese Journal of Hydrodynamics, 2010Co-Authors: Wu Yu-shuAbstract:Based on conceptual mathematical model of multi-continuum seepage flows,a triple-continuum numerical well testing model of oil-water flow for a naturally fractured vuggy is presented.The model was solved using numerical Method and pressure response curve and its characteristic were obtained.It was pointed that pressure buildup curve of two phase flow is different from that of single phase flow and is depended on initial oil saturation.The result indicates that the well testing curve of two phase flow condition can not be analyzed using single phase flow model.Through analyzing influencing factor of pressure response curve,the two phase flow well testing Interpretation Method was presented,in which oil-water rate should be matched before pressure response curve is matched.
Baisi Liu - One of the best experts on this subject based on the ideXlab platform.
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improved deep belief network and model Interpretation Method for power system transient stability assessment
Journal of Modern Power Systems and Clean Energy, 2020Co-Authors: Le Zheng, Baisi LiuAbstract:The real-time transient stability assessment (TSA) and emergency control are effective measures to suppress accident expansion, prevent system instability, and avoid large-scale power outages in the event of power system failure. However, real-time assessment is extremely demanding on computing speed, and the traditional Method is not competent. In this paper, an improved deep belief network (DBN) is proposed for the fast assessment of transient stability, which considers the structural characteristics of power system in the construction of loss function. Deep learning has been effective in many fields, but usually is considered as a black-box model. From the perspective of machine learning Interpretation, this paper proposes a local linear interpreter (LLI) model, and tries to give a reasonable Interpretation of the relationship between the system features and the assessment result, and illustrates the conversion process from the input feature space to the high-dimension representation space. The proposed Method is tested on an IEEE new England test system and demonstrated on a regional power system in China. The result demonstrates that the proposed Method has rapidity, high accuracy and good interpretability in transient stability assessment.
Zhang Shouxiu - One of the best experts on this subject based on the ideXlab platform.
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Seismic sedimentology Interpretation Method of meandering fluvial reservoir: From model to real data
Journal of Earth Science, 2015Co-Authors: Tao Zhang, Xianguo Zhang, Chengyan Lin, Yu Jingfeng, Zhang ShouxiuAbstract:Reservoir architecture of meandering river deposition is complex and traditional seismic facies Interpretation Method cannot characterize it when layer thickness is under seismic vertical resolution. In this study, a seismic sedimentology Interpretation Method and workflow for point bar characterization is built. Firstly, the influences of seismic frequency and sandstone thickness on seismic reflection are analyzed by outcrop detection with ground penetrating radar (GPR) and seismic forward modeling. It is found that (1) sandstone thickness can influence seismic reflection of point bar architecture. With the increasing of sandstone thickness from 1/4 wavelength (λ) to λ/2, seismic reflection geometries various from ambiguous reflection, “V” type reflection to “X” type reflection; (2) seismic frequency can influence reservoirs’ seismic reflection geometry. Seismic events follow inclined lateral aggradation surfaces, which is isochronic depositional boundaries, in high frequency seismic data while the events extend along lithologic surfaces, which are level, in low frequency data. Secondly, strata slice Interpretation Method for thin layer depositional characterization is discussed with seismic forward modeling. Lastly, a Method and workflow based on the above study is built which includes seismic frequency analysis, 90o phasing, stratal slicing and integrated Interpretation of slice and seismic profile. This Method is used in real data study in Tiger shoal, the Gulf of Mexico. Two episodes of meandering fluvial deposition is recognized in the study layer. Sandstone of the lower unit, which is formed in low base level stage, distributes limited. Sandstone distribution dimension and channel sinuosity become larger in the upper layer, which is high base level deposition.
Le Zheng - One of the best experts on this subject based on the ideXlab platform.
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improved deep belief network and model Interpretation Method for power system transient stability assessment
Journal of Modern Power Systems and Clean Energy, 2020Co-Authors: Le Zheng, Baisi LiuAbstract:The real-time transient stability assessment (TSA) and emergency control are effective measures to suppress accident expansion, prevent system instability, and avoid large-scale power outages in the event of power system failure. However, real-time assessment is extremely demanding on computing speed, and the traditional Method is not competent. In this paper, an improved deep belief network (DBN) is proposed for the fast assessment of transient stability, which considers the structural characteristics of power system in the construction of loss function. Deep learning has been effective in many fields, but usually is considered as a black-box model. From the perspective of machine learning Interpretation, this paper proposes a local linear interpreter (LLI) model, and tries to give a reasonable Interpretation of the relationship between the system features and the assessment result, and illustrates the conversion process from the input feature space to the high-dimension representation space. The proposed Method is tested on an IEEE new England test system and demonstrated on a regional power system in China. The result demonstrates that the proposed Method has rapidity, high accuracy and good interpretability in transient stability assessment.
Shohei Tokumaru - One of the best experts on this subject based on the ideXlab platform.
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Interpretation Method for response waveform of transient scattered electric field by a coated cylinder covered with a thick material
2017 IEEE International Conference on Computational Electromagnetics (ICCEM), 2017Co-Authors: Keishi Hagiwara, Keiji Goto, Yuta Takeno, Shohei Tokumaru, Layla OkadaAbstract:We briefly propose a time-domain (TD) asymptotic-numerical solution (TD-ANS) for a transient scattered electric field by a two-dimensional coated cylinder. We assume that a coating medium is thick as compared with the wavelength of a central angular frequency of a pulse wave radiated from an electric line source. The validity of an Interpretation Method for a response waveform by using the TD-ANS is confirmed by comparing with a reference solution.
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Interpretation Method for response waveform of transient scattered magnetic field by a coated cylinder covered with a thick material
2016 URSI Asia-Pacific Radio Science Conference (URSI AP-RASC), 2016Co-Authors: Keiji Goto, Keishi Hagiwara, Layla Okada, Yuta Takeno, Shohei TokumaruAbstract:We briefly propose an Interpretation Method for a response waveform of a transient scattered magnetic field by a two-dimensional coated cylinder by using a novel time-domain (TD) asymptotic-numerical solution (TD-ANS). We assume that the thickness of a coating medium is thick as compared with the wavelength of a central angular frequency of a high-frequency (HF) pulse wave radiated from a magnetic line source. Multiple reflected waves passing through a coating medium are added to the novel TD-ANS as compared with a conventional TD-ANS. The TD-ANS can extract each pulse wave element from a response waveform. The validity of an Interpretation Method for a response waveform is confirmed by comparing with a reference solution.
