Results 21 to 30 of about 9,456 (253)
Inversion of 2D cross-hole electrical resistivity tomography data using artificial neural network
Science Progress, 2022 Geophysical inversion is often ill-posed because of its nonlinearity and the ordinary measured data of measured data. To deal with these problems, an artificial neural network (ANN) has been introduced with the capability of a nonlinear and complex ...
Kean Thai Chhun +2 more
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Data Mining: Caliper Prediction Based on Gamma Logging While Drilling
Improved Oil and Gas Recovery, 2021 During offshore drilling and completion operations of production adjustment wells, logging while drilling (LWD) is often adopted to improve the timeliness of drilling. In order to provide more reliable decision-making basis under limited data conditions,
Jiang Shaolong, Zhang Guoqiang, Yuan Renguo, Li Xin, Feng Enlong
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A Geophysical Model Function for S‐Band Reflectometry of Ocean Surface Winds in Tropical Cyclones
Geophysical Research Letters, 2019 Ocean surface wind remote sensing using reflectometry measurements from S‐band (2.3 GHz) digital communication satellite transmissions is demonstrated in tropical cyclones.
Han Zhang +3 more
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The research on Bayesian inference for geophysical inversion
地球与行星物理论评, 2022 Based on statistical theory, the Bayesian inversion method adopts the posterior probability distribution to evaluate the model parameters under the constraints of prior information and observation data.
Xingda Jiang, Wei Zhang, Hui Yang
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Frontiers in Earth Science, 2022 We present an approach that permits to predict hydraulic conductivity from extensive, multi-methodical geophysical data collected on a hillslope affected by landslides in Austria.
Jakob Gallistl +6 more
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Geodetic residual time series: A combined series by minimization of their internal noise level
Frontiers in Earth Science, 2023 This study aims to assess the hydrological effects of polar motion calculated from different combinations of geophysical excitations at decadal, seasonal, and non-seasonal periods.
Małgorzata Wińska
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Algorithms, 2020 Often, multiple geophysical measurements are sensitive to the same subsurface parameters. In this case, joint inversions are mostly preferred over two (or more) separate inversions of the geophysical data sets due to the expected reduction of the non ...
Christin Bobe +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 A Ku-band geophysical model function for wind speed retrieval named as KuLMOD-H is proposed based on the quasi-specular reflection model for the Chinese Tiangong-2 Interferometric Imaging Radar Altimeter (TG2-InIRA), which can be used to retrieve the ...
Guo Li, Yunhua Zhang, Xiao Dong
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Геофизический журнал, 2020 In geophysical inverse problems, there are two approaches to data inversion. The first is the search for a number of unknowns by minimizing the residual function.
T.N. Kyshman-Lavanova
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Automated model optimisation using the Cylc workflow engine (Cyclops v1.0) [PDF]
Geoscientific Model Development, 2018 Most geophysical models include many parameters that are not fully determined by theory, and can be tuned to improve the model's agreement with available data.
R. M. Gorman, H. J. Oliver
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