Article
Geochemistry & Geophysics
Xu Wei, Huang Hang, Li Xin, Ke Shi-Zhen
Summary: This paper proposes a self-adaptive constraint resistivity-inversion method for the analysis of electromagnetic-wave logging while drilling (EPR-LWD) data. The experimental results demonstrate that the method has good performance, allowing for more accurate inversion of resistivity logs and providing valuable references for thin-layer identification and invasion-effect appraisal.
APPLIED GEOPHYSICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Jingjun Zhang, Liming Lu, Zhiyi Zheng, Haiyang Tong, Xuanjun Huang
Summary: A novel optimization scheme is proposed to minimize oil leakage and power loss of journal bearings by considering key design variables. The inversion technology is introduced into the multi-objective optimization genetic algorithm to enhance the performance. The optimization results showed better prediction accuracy compared to literature values, and both the hybrid optimization method and pareto optimal frontier demonstrated their advantages under inversion technology.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Mathematics
Muhammad Naeim Mohd Aris, Hanita Daud, Khairul Arifin Mohd Noh, Sarat Chandra Dass
Summary: This study introduces a stochastic process-based inversion method to effectively estimate hydrocarbon resistivity in seafloor logging, utilizing Gaussian processes for EM profile evaluation and optimization algorithms to find the optimal solution. The approach enhances estimation accuracy and time efficiency, providing significant improvements in quantifying uncertainty and minimizing computational resources.
Article
Geochemistry & Geophysics
Qiwei Liu, Fanmin Kong, Xiaolong Chen, Yong Liu, Kang Li
Summary: This paper presents a method for wellbore compensation through deep learning for logging data inversion. The research shows that the combination of neural network and logging data can achieve measurement results with borehole compensation while reducing one transmitting coil, effectively reducing the complexity and power consumption of LWD instruments. The accuracy of logging data inversion is also tested, demonstrating that the DNN method achieves high-precision inversion with a 50% reduction in average error compared to traditional algorithms such as linear regression.
Article
Multidisciplinary Sciences
Yunfeng Chen, Erdinc Saygin, Brian Kennett, Mehdi Tork Qashqai, Juerg Hauser, David Lumley, Mike Sandiford
Summary: This study constructs a new high-resolution 3D shear velocity model of the Australian continent using an extensive seismic dataset and a new imaging workflow. The model reveals detailed crustal structures that shed light on undercover mineral exploration.
NATURE COMMUNICATIONS
(2023)
Review
Biochemistry & Molecular Biology
Yana Tkachenko, Przemyslaw Niedzielski
Summary: This study aims to collect and review articles related to mineral investigation using FTIR, addressing the issue of data deficiency in geochemistry. It also discusses various analytical techniques and tools for data pre-processing of IR spectra.
Article
Energy & Fuels
Liu Yuejiao, Lai Fuqiang, Zhang Haijie, Tan ZhouJie, Wang Yifei, Zhao Xiaotian, Tan Xianfeng
Summary: In this study, a petrophysical volume model of double skeleton mineral components was constructed using the organic framework in a sample of shale gas reservoir from Western Chongqing. The optimized inversion method based on X-ray diffraction results showed a higher correlation coefficient compared to other models, demonstrating its wide application potential in several wells.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2021)
Article
Geosciences, Multidisciplinary
Tom Horrocks, Eun-Jung Holden, Daniel Wedge, Chris Wijns
Summary: 3-D geochemical subsurface models are constructed by spatial interpolation of drill-core assays, but their accuracy is limited by the spatial sparsity of underlying data. Integrating collocated 3-D models could improve accuracy, but standard machine learning algorithms struggle to incorporate spatial autocorrelation.
GEOSCIENCE FRONTIERS
(2021)
Article
Engineering, Electrical & Electronic
Yixiang Xia, Zewen Li, Shuai Wang, Jian Sun, Xinyu Guo
Summary: In substations, the fault signal at the measuring point suffers from signal aliasing due to the short length of substation lines and the presence of multiple types of equipment causing reflection and refraction of traveling waves. This causes distortion in the fault signal, making fault identification and location difficult. To solve this problem, we propose an inversion method for the incident wave by investigating the impact of various components in the substation on traveling wave transmission and developing a fault signal filtering algorithm based on improved Empirical Mode Decomposition and Fast Fourier Transform. We accurately identify the component parameters in the equivalent circuit model of the substation using the Particle Swarm Optimization algorithm and achieve accurate inversion of the incident waves, improving fault location accuracy.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Chemistry, Applied
Katalin Bodor, Bernadett Tokos, Zsolt Bodor, Agnes Keresztesi, Szilvia Laszlo, George Garbacea, Robert Szep
Summary: The consumption of mineral water has a long historical background and has been used both for physiological needs and medicinal purposes. The composition of mineral water varies according to its origin, minerals, salts, gases, and radioactive elements. In our research, statistical methods were used to analyze the chemical composition of European bottled and commercial mineral waters.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2023)
Article
Geosciences, Multidisciplinary
Donghui Xing, Yiren Fan, Hongfeng Lu, Cheng Lu, Peng Zhang, Hui Li, Yi Ding
Summary: This article presents a new method for identifying gas reservoirs in the Langgu Depression area by simulating the neutron-gamma logging responses and fluid factors. By eliminating the influence of porosity and formation water salinity, this method greatly improves the ability to identify gas-bearing layers and works well in old well reexamination and new well interpretation.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Engineering, Environmental
Joo Sung Ahn, Seung-Jun Youm, Yong-Chan Cho, Gil-Jae Yim, Sang-Woo Ji
Summary: Geochemical maps can be used to establish regional or local geochemical thresholds for various elements, including vanadium. The study derived geochemical threshold values for both the entire country and areas with potential for vanadium development, providing essential information for environmental assessment and management during large-scale site development. By using logarithmic transformation of raw data and statistical methods, appropriate thresholds for distinguishing vanadium enrichment or contamination were determined.
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
(2022)
Article
Energy & Fuels
Jose Oliverio Alvarez, David Jacobi, Stacey Althaus, Solomon Elias
Summary: This study conducted complex permittivity measurements on crude oils and a gas condensate, revealing their chemical composition, source, and origin, while analyzing factors influencing the dielectric permittivity. The analysis found that the real part of the dielectric permittivity spectra correlates with density, maturity, and chemical alterations, while the imaginary part is influenced by conductivity related to asphaltene, metal, and aromatic content of the hydrocarbons.
Article
Biodiversity Conservation
Peng Chen, Biao Wang, Yanlan Wu, Qijun Wang, Zuoji Huang, Chunlin Wang
Summary: This study proposed a multi-source remote sensing water quality inversion method based on a small number of samples, which solved the problem of scale inconsistency among multi-source remote sensing data and achieved large-scale and efficient inversion of urban river water quality.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Zhangqing Sun, Songlin Yang, Fengjiao Zhang, Jipu Lu, Ruihu Wang, Xiyang Ou, Anguai Lei, Fuxing Han, Wenpan Cen, Da Wei, Mingchen Liu
Summary: Sandstone type uranium deposits in petroliferous basins can be explored by utilizing historical logging and 3D seismic data. A method of reconstructing acoustic logging data based on clustering analysis and low-frequency compensation is proposed to solve the lack of logging data in the target stratum of the uranium reservoir. By combining logging and seismic data, the 3D inversion data volume representing the sand body of the uranium reservoir can be obtained, and the 3D spatial range of sandstone type uranium deposits in petroliferous basins can be determined based on the calibration of uranium anomaly and sub-body detection. Finally, a 3D field data example is provided to test and analyze the effectiveness of the proposed research schemes.
