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Lixin Wang [5]Lixing Wang [1]
  1.  12
    Analysis of the Internal Architectural Elements of Tidal-Influenced Meandering Fluvial Deposits Using Well Logging and Seismic Data: The Study of the Athabasca Oil Sands, Alberta, Canada.Lifang Cheng, Yanshu Yin, Hui Wang, Wenjie Feng, Lixin Wang, Zhenkun Liu, Pangen Wang & Jiong Liu - 2020 - Interpretation 8 (3):SM103-SM114.
    A reservoir was dominated by inclined heterolithic stratification formed in large point bars of the McMurray Formation. We have used high-resolution seismic data and logging data to identify the internal architectural elements of the reservoir. From the core data, we defined four lithofacies and recognized the architectural element boundary. Then, we used stratum dip data across wells, combined with seismic reflectivity, isopach, and amplitude attributes, to understand the lateral continuity of the boundaries. Later, we established the sedimentary model and found (...)
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  2. Intermittent Time-Varying Formation Control for High-Order Networked Agents Subject to Discontinuous Communications.Lixin Wang, Zhe Luo, Xiaoqiang Li, Xinsan Li & Xiaogang Yang - 2021 - Complexity 2021:1-14.
    This paper investigates the leaderless and leader-follower time-varying formation design and analysis problems for a group of networked agents subject to discontinuous communications. Firstly, a leaderless time-varying formation control protocol is proposed via the intermittent control strategy, where the control input of each agent is constructed by the distributed local state information and formation instructions in the communication time unit, but it is zero in the noncommunication time unit. Then, an explicit formulation of the formation center function is determined to (...)
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  3. Tian di da Ru Wang Chuanshan =.Lixin Wang - 2011 - Yuelu Shu She.
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  4. A Pinning Actor-Critic Structure-Based Algorithm for Sizing Complex-Shaped Depth Profiles in MFL Inspection with High Degree of Freedom.Zhenning Wu, Yiming Deng & Lixing Wang - 2021 - Complexity 2021:1-12.
    One of the most efficient nondestructive methods for pipeline in-line inspection is magnetic flux leakage inspection. Estimating the size of the defect from MFL signal is one of the key problems of MFL inspection. As the inspection signal is usually contaminated by noise, sizing the defect is an ill-posed inverse problem, especially when sizing the depth as a complex shape. An actor-critic structure-based algorithm is proposed in this paper for sizing complex depth profiles. By learning with more information from the (...)
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  5. Zhongguo Zhe Xue de Chuang Zao Xing Zhuan Hua.Genyou Wu, Chongjing Ou & Lixin Wang (eds.) - 2004 - Yunnan Ren Min Chu Ban She.
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