Weiying Chen

Dr. Weiying Chen

Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 March 2022 in Applied Sciences
Verified
Journal Article
Open access
PDF file
YHYiming He
Yiming He
Guoqiang XueGuoqiang Xue
Guoqiang Xue
WCWeiying Chen
Weiying Chen
ZTZhongbin Tian
Zhongbin Tian
Semi-airborne transient electromagnetics (SATEM) is a geophysical survey tool known for its ability to perform three-dimensional (3D) observations and collect high-density data in large volumes. However, SATEM data processing is presently restricted to 3D model-driven inversion, which is not conducive to detailed surveys. This paper presents a new 3D model- and data-driven inversion algorithm using the particle swarm optimization (PSO) and gradient descent (GD) algorithms. PSO is used to suppress the multiplicity of solutions associated with inverse problems, and the GD algorithm is employed to accelerate the convergence of the inversion process. For the PSO-GD algorithm, a new model-updating equation is established and a cosine probability function is introduced as a weighting term for PSO and GD algorithms to ensure a smooth transition between the two algorithms in the iterative process. The α-trimmed filter function is used as a regularization constraint to smooth the model. The stability and reliability of the PSO-GD algorithm are verified through numerical simulations. Finally, the new algorithm is applied to the processing of SATEM measurements of the Qinshui coal mine in Jincheng, Shanxi Province, China.

17 July 2023 in Science China Earth Sciences
Verified
Journal Article
Closed access
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GXGuoqiang Xue
Guoqiang Xue
WCWeiying Chen
Weiying Chen
PZPing Zhao
Ping Zhao
WRWangqi Ren
Wangqi Ren
YHYiming He
Yiming He
YZYang Zhao
Yang Zhao

20 March 2023 in IEEE Transactions on Geoscience and Remote Sensing
Verified
Journal Article
Closed access
Guoqiang XueGuoqiang Xue
Guoqiang Xue
YHYiming He
Yiming He
WCWeiying Chen
Weiying Chen
Xin WuXin Wu
Xin Wu
WSWanting Song
Wanting Song
The short offset transient electromagnetic method (SOTEM) has become one of the main methods for coal hydrogeology investigations and mineral explorations due to its performance advantages of high precision, large depth abilities, and high efficiency. At the present time, due to the computational complexity and memory requirements for 3D SOTEM inversion algorithms, SOTEM data inversion is mainly based on 1D, which has made it difficult to meet fine detection requirements under complex geological conditions. In this study, a particle swarm optimization-quasi-Newton hybrid algorithm (PSO-QN) was proposed, with high precision and fast 3D inversions of SOTEM data achieved. In addition, flight strategy was introduced in order to ensure the global optimization of individual particles, and a weighting strategy was adopted to avoid falling into local minimums. The 3D inversions of the SOTEM data were tested based on a variety of geoelectric models. The results showed that the dependence of the PSO-QN hybrid algorithm on the number of particle swarms had been dropped to two thirds. Furthermore, the calculation time was significantly reduced to one third. The inversion results of the field data revealed that the proposed inversion method possessed a strong anti-noise capacity, high speed, good stability, and high resolution.

25 September 2022 in Minerals
Verified
Journal Article
Open access
PDF file
Guoqiang XueGuoqiang Xue
Guoqiang Xue
WCWeiying Chen
Weiying Chen
Xin WuXin Wu
Xin Wu
SYShu Yan
Shu Yan
WGWenbo Guo
Wenbo Guo
A near-source electromagnetic method known as the short-offset transient electromagnetic (SOTEM) method was proposed. Compared with the traditional far-source methods, the offset of the SOTEM method is greatly reduced, to only 0.3~2 times of the maximum depth. Therefore, the SOTEM can obtain the signal with higher signal-to-noise ratio and sensitivity. Application in the Xiaoshan Mine of Henan Province showed that the SOTEM method is an effective method for deep ore exploration, especially in mountainous areas.

16 April 2024 in Minerals
Verified
Journal Article
Open access
PDF file
WCWeiying Chen
Weiying Chen
WSWanting Song
Wanting Song
PLPengfei Lv
Pengfei Lv
JSJinjing Shi
Jinjing Shi
YZYulian Zhu
Yulian Zhu
Bayan Obo is a well-known polymetallic deposit containing significant quantities of rare earth elements, niobium, thorium, and iron. However, the epoch in which mineralization occurred and the mineralization process are still debated due to the complex nature of its mineralization and geological evolution. Inadequate geophysical exploration has further contributed to this lack of clarity surrounding critical issues, such as the deep link between the main orebody and the eastern orebody, the form and distribution of the extensive dolomite, and the geologic structures in the area. Therefore, we implemented the time-domain controlled-source electromagnetic method (CSEM) to acquire electrical structures at depths down to 2.5 km between the Main and Eastern mines. According to the inverted resistivity structure, in conjunction with existing geological and drilling data, we classified the main lithologies and faults based on their resistivity characteristics. Overall, the mineralized carbonatite reflects high to moderately high resistivity. The mineralized carbonatite dips overall from north to south, with a maximum extension depth not exceeding 1.5 km, and its range of occurrence is controlled by nearly east–west-striking faults distributed along the bounding line between the roof and floor rocks. The Main and Eastern mines are connected at depth, but the morphology and position of the ore bodies have significantly changed due to multiple phases of tectonic activity. The electrical structure does not reveal any obvious syncline structures, further refuting the traditional view that the Bayan syncline controls ore formation.

12 April 2023 in Pure and Applied Geophysics
Verified
Journal Article
Closed access
PDF file
WCWeiying Chen
Weiying Chen
Guoqiang XueGuoqiang Xue
Guoqiang Xue
KLKangxin Lei
Kangxin Lei
WSWanting Song
Wanting Song