Linqi Zhu

ORCID: 0000-0001-5725-2805
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About
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Research Areas
  • Hydrocarbon exploration and reservoir analysis
  • Hydraulic Fracturing and Reservoir Analysis
  • Methane Hydrates and Related Phenomena
  • Atmospheric and Environmental Gas Dynamics
  • NMR spectroscopy and applications
  • Geological and Geophysical Studies
  • Geochemistry and Geologic Mapping
  • Seismic Imaging and Inversion Techniques
  • Coal Properties and Utilization
  • Enhanced Oil Recovery Techniques
  • CO2 Sequestration and Geologic Interactions
  • Geological and Geochemical Analysis
  • Drilling and Well Engineering
  • earthquake and tectonic studies
  • Geoscience and Mining Technology
  • Geological Studies and Exploration
  • Spectroscopy and Chemometric Analyses
  • Medical Image Segmentation Techniques
  • Mineral Processing and Grinding
  • Fault Detection and Control Systems
  • Generative Adversarial Networks and Image Synthesis
  • Machine Learning and ELM
  • Geochemistry and Geochronology of Asian Mineral Deposits
  • Brain Tumor Detection and Classification
  • Seismology and Earthquake Studies

University College London
2025

Chinese Academy of Sciences
2021-2024

Institute of Deep-Sea Science and Engineering
2021-2024

Imperial College London
2023-2024

Shenzhen University
2023

Imperial Valley College
2023

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2021-2023

Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
2021-2023

Northeast Agricultural University
2023

Qingdao National Laboratory for Marine Science and Technology
2021-2022

The simulation of various rock properties based on three-dimensional digital cores plays an increasingly important role in oil and gas exploration development. accuracy 3D core reconstruction is for determining properties. In this paper, existing core-reconstruction methods are divided into two categories: physical experiments stochastic reconstructions two-dimensional (2D) slices. Additionally, 2D slice-based techniques classified four types: a method slice mathematical-feature statistical...

10.1155/2019/7814180 article EN cc-by Geofluids 2019-05-20

Seismic random noise attenuation is a key step in seismic data processing. The recorded by the detector tends to have strong noise, and this noisy ratio can be seen as low signal-to-noise (SNR). Low SNR seriously affect subsequent processing of data, such migration imaging. Therefore, it crucial eliminate data. In paper, we aimed improve proposed an intelligent convolutional neural network reduction framework adaptively capture signals from with noise. eponential linear unit (ELU) activation...

10.1109/access.2020.2972464 article EN cc-by IEEE Access 2020-01-01

There is increasing interest in shale gas reservoirs due to their abundant reserves. As a key evaluation criterion, the total organic carbon content (TOC) of can reflect its hydrocarbon generation potential. The existing TOC calculation model not very accurate and there still possibility for improvement. In this paper, an integrated hybrid neural network (IHNN) proposed predicting TOC. This based on fact that information low reservoir, where easy evaluate, comes from prediction problem,...

10.1088/1742-2140/aaa7af article EN Journal of Geophysics and Engineering 2018-01-15

Accurate quantification of the gas hydrate content in deep sea is useful for assessing resource potential and understanding role hydrates global carbon cycle. Resistivity logging data combined with Archie's equation are often used to calculate saturation, but reliability dependent on rationality empirical parameter cementation factor saturation index. At present, an increasing number fine-grained hydrate-rich sediment regions have been discovered worldwide through drilling efforts, reservoir...

10.1016/j.gsf.2023.101540 article EN cc-by-nc-nd Geoscience Frontiers 2023-01-20

Carbon dioxide capture, utilization and storage technology is considered to be one of the most effective strategies mitigate CO2 emissions. In this process, that injected into seabed sediments under specific temperature pressure conditions sealed in form hydrate, known for its high gas density exceptional security features. This method has significant advantages compared with onshore geological schemes. Thus far, however, there been no industrial demonstration hydrate storage, potential...

10.46690/ager.2024.03.06 article EN ADVANCES IN GEO-ENERGY RESEARCH 2024-02-19

Shale gas reservoirs have been the subject of intensifying research in recent years. In particular, saturation has received considerable attention as a key parameter reflecting gas-bearing properties reservoirs. However, no mature model exists for calculating shale due to difficulty saturation. This paper proposes new prediction method that combines model-driven and data-driven approaches. A multi-mineral petrophysical is applied derive apparent model. Using calculated saturation, matrix...

10.26804/ager.2020.02.03 article EN ADVANCES IN GEO-ENERGY RESEARCH 2020-03-29

The identification of high-quality marine shale gas reservoirs has always been a key task in the exploration and development stage. However, due to serious nonlinear relationship between logging curve response reservoirs, rapid problem low accuracy. This study proposes combination oversampling method random forest algorithm improve accuracy based on data. is used balance number samples different types establish high-precision reservoir model. From perspective prediction effect, that combines...

10.1016/j.aiig.2021.12.001 article EN cc-by-nc-nd Artificial Intelligence in Geosciences 2021-12-01

SUMMARY Permeability is a critical factor in evaluating the fluid flow capacity and production performance of natural gas hydrate reservoirs. The similarity electrical conduction hydraulic makes it possible to predict reservoir permeability using data. Clarifying relationship between resistivity sediments with different growth habits contributes efficient exploration development resources. In this work, normalized index models for grain-coating (GC) pore-filling (PF) hydrates are developed...

10.1093/gji/ggad090 article EN Geophysical Journal International 2023-02-24

The content of industrial components coalbeds, one the main parameters coalbed methane (CBM) reservoirs, is crucial in entire coal mine resource exploration and exploitation process. Currently, using geophysical logging data to determine most widely implemented method. In this study, PZ block Qinshui Basin was employed as a target evaluate ash (A ad ), fixed carbon (FC volatile matter (V daf moisture (M ) under air-dry (AD) base condition based on autocorrelation between curves component...

10.3389/feart.2022.1031218 article EN cc-by Frontiers in Earth Science 2023-01-06

The formation and dissociation of hydrate at the pore scale can be observed qualitatively using μ-CT X-ray imaging. However, a quantitative criterion for pattern is not currently available in literature. To fill this research gap, we generated numerically-simulated sediments with specific patterns accurate saturation levels, by integrating computed tomography techniques, morphological operation algorithm, quartet structure generation set method. Using topological information extracted from...

10.1016/j.fuel.2023.129032 article EN cc-by Fuel 2023-07-17
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