197 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nanyang Technological UniversitySG3 papers
- Southwest Petroleum UniversityCN3 papers
- University of Electronic Science and Technology of ChinaCN3 papers
- National Engineering Research Center of Electromagnetic Radiation Control MaterialsCN2 papers
- Research Institute of Petroleum Exploration and DevelopmentCN2 papers
- Academy of Mathematics and Systems ScienceCN1 paper
- AlbaNovaSE1 paper
- Bauhaus-Universität WeimarDE1 paper
- Bellevue CollegeUS1 paper
- Brookhaven National LaboratoryUS1 paper
- Chengdu University of TechnologyCN1 paper
- Chinese Academy of SciencesCN1 paper
8 papers
A Neural Network-Based Real-time Casing Collar Recognition System for Downhole Instruments
Si-Yu Xiao, Xin-Di Zhao, Xiang-Zhan Wang +8
Casing collar locator (CCL) measurements are widely used as reliable depth markers for positioning downhole instruments in cased-hole operations, enabling accurate depth control fo…
Data-Augmented Deep Learning for Downhole Depth Sensing and Validation
Si-Yu Xiao, Xin-Di Zhao, Tian-Hao Mao +8
Accurate downhole depth measurement is essential for oil and gas well operations, directly influencing reservoir contact, production efficiency, and operational safety. Collar corr…
Realization of Precise Perforating Using Dynamic Threshold and Physical Plausibility Algorithm for Self-Locating Perforating in Oil and Gas Wells
Si-Yu Xiao, Guo-Hui Ren, Tian-Hao Mao +9
Accurate depth measurement is critical for targeting designated perforation intervals to maximize hydrocarbon recovery. While next-generation automated wireless perforating techniq…
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Yaxuan Wang, Hao Cheng, Jing Xiong +6
Detecting anomalies in temporal data has gained significant attention across various real-world applications, aiming to identify unusual events and mitigate potential hazards. In p…
Sparse Optimization of Two-Dimensional Terahertz Spectroscopy
Zhengjun Wang, Hongju Da, Ankit S. Disa +3
Two-dimensional terahertz spectroscopy (2DTS) is a low-frequency analogue of two-dimensional optical spectroscopy that is rapidly maturing as a probe of a wide variety of condensed…
Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks
Yizheng Wang, Jia Sun, Jinshuai Bai +5
AI for partial differential equations (PDEs) has garnered significant attention, particularly with the emergence of Physics-informed neural networks (PINNs). The recent advent of K…
Field Tests of High-Density Oil-Based Drilling Fluid Application in Horizontal Segment
Youcheng Liu
The operation experience of horizontal segment well in the southern Sichuan area within the hard brittle shale layer of Longmaxi formation demonstrates that the high-density oil-ba…
Combined Preconditioning with Applications in Reservoir Simulation
Xiaozhe Hu, Shuhong Wu, Xiao-Hui Wu +4
We develop a simple algorithmic framework to solve large-scale symmetric positive definite linear systems. At its core, the framework relies on two components: (1) a norm-convergen…