Results 1 to 10 of about 447 (114)
Remote Sensing, 2023 The multi-parameter full waveform inversion (FWI) that integrates velocity and density can make full use of the kinematic and dynamic information of the measured data to reconstruct the underground model.
Deshan Feng +5 more
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Multi-Parameter Step-by-Step Inversion of Resistivity Anisotropy and Application
Cejing jishu, 2023 Electromagnetic resistivity logging while drilling is widely used, which has become a required item in the inclined and horizontal offshore wells. However, due to the comprehensive influence of reservoir anisotropy, drilling fluid invasion and other ...
HU Wenliang +4 more
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Multi-Parameter Inversion of AIEM by Using Bi-Directional Deep Neural Network
Remote Sensing, 2022 A novel multi-parameter inversion method is proposed for the Advanced Integral Equation Model (AIEM) by using bi-directional deep neural network. There is a very complex nonlinear relationship between the surface parameters (dielectric constant and ...
Yu Wang +5 more
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Energies, 2022 In order to solve the problem that elastic parameter constraints are not taken into account in local lithofacies updating in multi-point geostatistical inversion, a new multi-point geostatistical inversion method with local facies updating under seismic ...
Zhihong Wang +4 more
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MAGInet based on deep learning for magnetic multi-parameter inversion
AIP AdvancesThis manuscript introduces MAGInet, a novel deep learning framework designed for the magnetic multi-parameter inversion of complex structures. The architecture of MAGInet integrates a classifier and several solvers, where the classifier performs a ...
Wudi Wen, Yi Li, Zhongle Liu
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Bottom Multi-Parameter Bayesian Inversion Based on an Acoustic Backscattering Model
Journal of Marine Science and EngineeringThe geoacoustic and physical properties of the bottom, as well as spatial distribution, are crucial factors in analyzing the underwater acoustic field structure and establishing a geoacoustic model.
Yi Zheng +6 more
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LAI estimation based on physical model combining airborne LiDAR waveform and Sentinel-2 imagery
Frontiers in Plant Science, 2023 Leaf area index (LAI) is an important biophysical parameter of vegetation and serves as a significant indicator for assessing forest ecosystems. Multi-source remote sensing data enables large-scale and dynamic surface observations, providing effective ...
Zixi Shi +12 more
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NHRI model parameter inversion and application of rockfill based on XGBoost
Shuili Shuiyun Gongcheng Xuebao, 2023 Based on the in-situ monitoring data of the dam, back analysis of the material parameters is an effective way to obtain the real parameters. Aiming at the problem of multi-material and multi-parameter back analysis in the NHRI model parameter back ...
LI Wei +3 more
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Corrigenda: Inverse multi-parameter eigenvalue problems for matrices II [PDF]
Proceedings of the Edinburgh Mathematical Society, 1987 In the paper referred to above (see [1]), the following corrections should be made.(1) Hypothesis 2.2 should read:(2) The set E⊂ℝn should be defined as(3) F0(υ)=υ+x should read F(υ)=υ–x.(4) The unique solution of F0(υ)=0 is υ=x (not υ= –x as printed).(5) Page 345, line 14:
Browne, Patrick J., Sleeman, B. D.
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Seismic Elastic Parameter Inversion via a FCRN and GRU Hybrid Network with Multi-Task Learning
Applied Sciences, 2023 Seismic elastic parameter inversion translates seismic data into subsurface structures and physical properties of formations. Traditional model-based inversion methods have limitations in retrieving complex geological structures.
Qiqi Zheng +4 more
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