Quantifying Uncertainty in Downscaling of Seismic Data to High-Resolution 3-D Lithological Models

Yin, Zhen Yu; Amaru, Maisha; Wang, Yizheng; Li, Lewis; Caers, Jef

doi:10.1109/tgrs.2022.3153934

Cited by 9 publications

(2 citation statements)

References 65 publications

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“…Stochastic inversion defines the inversion results as a probability distribution of model parameters. Hence, it can assess different sources’ uncertainties, such as original observed seismic data, well log data, or the a priori model and initial model 36 , 37 .…”

Section: Discussionmentioning

confidence: 99%

Seismic inversion with L2,0-norm joint-sparse constraint on multi-trace impedance model

Dai

Yang

2022

Sci Rep

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Impedance inversion of post-stack seismic data is a key technology in reservoir prediction and characterization. Compared to the common used single-trace impedance inversion, multi-trace impedance simultaneous inversion has many advantages. For example, it can take lateral regularization constraint to improve the lateral stability and resolution. We propose to use the L2,0-norm of multi-trace impedance model as a regularization constraint in multi-trace impedance inversion in this paper. L2,0-norm is a joint-sparse measure, which can not only measure the conventional vertical sparsity with L0-norm in vertical direction, but also measure the lateral continuity with L2-norm in lateral direction. Then, we use a split Bregman iteration strategy to solve the L2,0-norm joint-sparse constrained objective function. Next, we use a 2D numerical model and a real seismic data section to test the efficacy of the proposed method. The results show that the inverted impedance from the L2,0-norm constraint inversion has higher lateral stability and resolution compared to the inverted impedance from the conventional sparse constraint impedance inversion.

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Section: Discussionmentioning

confidence: 99%

Seismic inversion with L2,0-norm joint-sparse constraint on multi-trace impedance model

Dai

Yang

2022

Sci Rep

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“…Consideration was given to inputting complete seismic data into the model to simulate the real process of hydrate extraction on submarine slopes. However, due to the limited seismic resolution, the geological model of underground development can be updated by using borehole data in a Bayesian framework for uncertainty quantification [45,46].…”

Section: Supplementary Statementmentioning

confidence: 99%

Analysis of Factors Influencing the Stability of Submarine Hydrate-Bearing Slopes during Depressurization Production

Sun,

Wen,

Yang

et al. 2024

Processes

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Natural gas hydrate reservoirs, with shallow burial, poor cementation, and low strength, are prone to submarine landslides triggered by hydrate decomposition during extraction. Prior studies have inadequately considered factors such as the dynamic decomposition of hydrates during depressurization, and its impacts on the reservoir’s geomechanical properties. In this paper, a coupled thermal–hydraulic–mechanical–chemical mathematical model of hydrate decomposition is proposed, and the dynamic geomechanical response and the effect of hydrate decomposition on seafloor settlement and slope destabilization during the process of depressurization mining are analyzed by combining the strength discount method with the example of a hydrate-bearing seafloor slope in the Shenhu area. Furthermore, the study employs an orthogonal experimental design along with range and variance analysis to gauge the impact of critical factors (degree of hydrate decomposition, seawater depth, hydrate reservoir burial depth, hydrate reservoir thickness, and slope angle) on slope stability. The findings suggest that hydrate decomposition is non-uniform and is influenced by stratigraphic temperature gradients and gravity. In the region where hydrate decomposition occurs, the decrease of pore pressure leads to the increase of effective stress. Additionally, the decomposition of hydrates decreases the shear modulus of sediments, leading to deformation and reduced permeability in the affected area. Over a three-year period of depressurization mining, the significantly reduced safety factor increases the risk of landslides. Various factors play a role in the control of submarine slope stability, with slope inclination being the primary factor, followed by the degree of hydrate decomposition, reservoir thickness, burial depth, and seawater depth. Among these factors, hydrate burial depth and seawater depth have a positive correlation with submarine slope stability, while increases in other factors generally decrease stability. These research findings have important implications for the safe exploitation of slopes that contain hydrates.

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Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey

Jiao

Huang

Liu

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Brain-inspired algorithms have become a new trend in next-generation artificial intelligence. Through research on brain science, the intelligence of remote sensing algorithms can be effectively improved. This paper summarizes and analyzes the essential properties of brain cognise learning and the recent advance of remote sensing interpretation. Firstly, this paper introduces the structural composition and the properties of the brain. Then, five represent brain-inspired algorithms are studied, including multiscale geometry analysis, compressed sensing, attention mechanism, reinforcement learning, and transfer learning. Next, this paper summarizes the data types of remote sensing, the development of typical applications of remote sensing interpretation and the implementations of remote sensing, including datasets, software, and hardware. Finally, the top ten open problems and the future direction of brain-inspired remote sensing interpretation are discussed. This work aims to comprehensively review the brain mechanisms and the development of remote sensing and to motivate future research on brain-inspired remote sensing interpretation.

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Quantifying Uncertainty in Downscaling of Seismic Data to High-Resolution 3-D Lithological Models

Cited by 9 publications

References 65 publications

Seismic inversion with L2,0-norm joint-sparse constraint on multi-trace impedance model

Seismic inversion with L2,0-norm joint-sparse constraint on multi-trace impedance model

Analysis of Factors Influencing the Stability of Submarine Hydrate-Bearing Slopes during Depressurization Production

Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey

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