Jing Sun^1,2,3,*, Dehua Liu^1,2,3, Xiang Zhu^1,2,3, Wenjun Huang^1,2,3, Liang Cheng^1,2,3

FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.3, pp. 425-440, 2020, DOI:10.32604/fdmp.2020.08531 - 25 May 2020

Abstract Low permeability tight sandstone reservoirs have a high filtrational resistance and a very low fluid flow rate. As a result, the propagation speed of the formation pressure is low and fluid flow behaves as a non-Darcy flow, which typically displays a highly non-linear behavior. In this paper, the characteristics and mechanism of pressure propagation in this kind of reservoir are revealed through a laboratory pressure propagation experiment and through data from an actual tight reservoir development. The main performance mechanism is as follows: A new pressure cage concept is proposed based on the pressure variation… More >

Dongkwon Han, Sunil Kwon^*

FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.3, pp. 411-424, 2020, DOI:10.32604/fdmp.2020.08388 - 25 May 2020

Abstract This paper presents the development and application of a production data analysis software that can analyze and forecast the production performance and reservoir properties of shale gas wells. The theories used in the study were based on the analytical and empirical approaches. Its reliability has been con- firmed through comparisons with a commercial software. Using transient data relating to multi-stage hydraulic fractured horizontal wells, it was confirmed that the accuracy of the modified hyperbolic method showed an error of approximately 4% compared to the actual estimated ultimate recovery (EUR). On the basis of the developed More >

Hailin Chen¹, Gang Xu³, Yuling Chen², Xiubo Chen^{1, 2, *}, Yixian Yang^{1, 2}, Ruibin Fan⁴, Kaixiang Zhang⁴, Huizhong Li⁴

Journal of Quantum Computing, Vol.2, No.1, pp. 57-83, 2020, DOI:10.32604/jqc.2020.09291 - 28 May 2020

Abstract Most existing blockchain schemes are based on the design concept “openness and transparency” to realize data security, which usually require transaction data to be presented in the form of plaintext. However, it inevitably brings the issues with respect to data privacy and operating performance. In this paper, we proposed a novel blockchain scheme called Cipherchain, which can process and maintain transaction data in the form of ciphertext while the characteristics of immutability and auditability are guaranteed. Specifically in our scheme, transactions can be encrypted locally based on a searchable encryption scheme called multi-user public key More >

Shengyao Wu¹, Wenjie Liu², Zhiguo Qu^{3, *}

Journal of Quantum Computing, Vol.2, No.1, pp. 33-55, 2020, DOI:10.32604/jqc.2019.08898 - 28 May 2020

Abstract In order to improve the anti-noise performance of quantum teleportation, this paper proposes a novel dynamic quantum anti-noise scheme based on the quantum teleportation which transmits single qubit state using Bell state. Considering that quantum noise only acts on the transmitted qubit, i.e., the entangled state that Alice and Bob share in advance is affected by the noise, thus affecting the final transmission result. In this paper, a method for dynamically adjusting the shared entangled state according to the noise environment is proposed. By calculating the maximum fidelity of the output state to determine the More >

Pingping Xia^{1, *}, Aihua Xu², Tong Lian¹

Journal of Quantum Computing, Vol.2, No.1, pp. 25-32, 2020, DOI:10.32604/jqc.2019.09232 - 28 May 2020

Abstract Electricity consumption forecasting is one of the most important tasks for power system workers, and plays an important role in regional power systems. Due to the difference in the trend of power load and the past in the new normal, the influencing factors are more diversified, which makes it more difficult to predict the current electricity consumption. In this paper, the grey system theory and BP neural network are combined to predict the annual electricity consumption in Jiangsu. According to the historical data of annual electricity consumption and the six factors affecting electricity consumption, the More >

Zaoyu Wei^{1, *}, Jiaqi Wang², Xueqi Shen¹, Qun Luo¹

Journal of Quantum Computing, Vol.2, No.1, pp. 11-24, 2020, DOI:10.32604/jqc.2020.010815 - 28 May 2020

Abstract Smart contract has greatly improved the services and capabilities of blockchain, but it has become the weakest link of blockchain security because of its code nature. Therefore, efficient vulnerability detection of smart contract is the key to ensure the security of blockchain system. Oriented to Ethereum smart contract, the study solves the problems of redundant input and low coverage in the smart contract fuzz. In this paper, a taint analysis method based on EVM is proposed to reduce the invalid input, a dangerous operation database is designed to identify the dangerous input, and genetic algorithm More >

Congrong Tang^{1, *}

Journal of Quantum Computing, Vol.2, No.1, pp. 1-9, 2020, DOI:10.32604/jqc.2020.09153 - 28 May 2020

Abstract With the rapid development of highway transportation in China, intelligent transportation has become an important part of the traffic structure, and wireless sensor networks are also widely used in intelligent transportation. However, in the wireless traffic sensor network, there is a certain error in the positioning of the anchor blind nodes. In the process of tracking the feedback information, the results of determining the position are very different. Based on the maximum degree of tension, the road traffic wireless Research and analysis of blind node location in sensor networks, and propose solutions and measures to More >

Haijun Geng¹, Jiangyuan Yao^{2, *}, Yangyang Zhang³

CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 665-679, 2020, DOI:10.32604/cmc.2020.09912 - 20 May 2020

Abstract Loop free alternate (LFA) is a routing protection scheme that is currently deployed in commercial routers. However, LFA cannot handle all single network component failure scenarios in traditional networks. As Internet service providers have begun to deploy software defined network (SDN) technology, the Internet will be in a hybrid SDN network where traditional and SDN devices coexist for a long time. Therefore, this study aims to deploy the LFA scheme in hybrid SDN network architecture to handle all possible single network component failure scenarios. First, the deployment of LFA scheme in a hybrid SDN network More >

Caifeng Cheng^{1, 2}, Xiang’e Sun^{1, *}, Deshu Lin³, Yiliu Tu⁴

CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 651-664, 2020, DOI:10.32604/cmc.2020.09874 - 20 May 2020

Abstract In actual exploration, the demand for 3D seismic data collection is increasing, and the requirements for data are becoming higher and higher. Accordingly, the collection cost and data volume also increase. Aiming at this problem, we make use of the nature of data sparse expression, based on the theory of compressed sensing, to carry out the research on the efficient collection method of seismic data. It combines the collection of seismic data and the compression in data processing in practical work, breaking through the limitation of the traditional sampling frequency, and the sparse characteristics of… More >

Zijian Li¹, Chengying Chi^{1, *}, Yunyun Zhan^{2, *}

CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 637-650, 2020, DOI:10.32604/cmc.2020.010265 - 20 May 2020

Abstract The translation quality of neural machine translation (NMT) systems depends largely on the quality of large-scale bilingual parallel corpora available. Research shows that under the condition of limited resources, the performance of NMT is greatly reduced, and a large amount of high-quality bilingual parallel data is needed to train a competitive translation model. However, not all languages have large-scale and high-quality bilingual corpus resources available. In these cases, improving the quality of the corpora has become the main focus to increase the accuracy of the NMT results. This paper proposes a new method to improve… More >