We construct a rock physics workflow to link the elastic properties of shales complex constituents and specific microstructure attributes. The key feature in our model is degrees preferred orientation clay kerogen particles defined by proportions such their total content. self-consistent approximation method Backus averaging are used consider isotropic distribution compositions pores shales. Using core well log data from Barnett Shale, we demonstrate application constructed templates for...

In this letter, we apply a time and frequency analysis method based on the complete ensemble empirical mode decomposition (CEEMD) in ground-penetrating radar (GPR) signal processing. It decomposes GPR into sum of oscillatory components, with guaranteed positive smoothly varying instantaneous frequencies. The key idea relies averaging modes obtained by (EMD) applied to several realizations Gaussian white noise added original signal. can solve mode-mixing problem EMD improve resolution (EEMD)...

Random noise in seismic data affects the signal-to-noise ratio, obscures details, and complicates identification of useful information. We have developed a new method for reducing random, spike-like data. The is based on 1D stationary median filter (MF) — time-varying (TVMF). design threshold value that controls window according to characteristics signal noise. In view relationship between value, we chose filters with different windows eliminate When comparing our other common methods, e.g.,...

Abstract We study the detailed mantle transition zone structure beneath active Changbai intraplate volcano in Northeast China by using a receiver‐function method. A total of 3005 teleseismic receiver functions recorded 70 broadband stations are obtained common‐conversion‐point stacking For conducting time‐to‐depth conversion, we use three‐dimensional velocity model region so as to take into account influence structural heterogeneities. Our results reveal significant depth variations 410,...

Abstract Seismic anisotropy records past and present tectonic deformations provides important constraints for understanding the structure dynamics of Earth's interior. In this work, we use tremendous amounts high‐quality P wave arrival times from local regional earthquakes to determine a high‐resolution tomographic model 3‐D azimuthal down 1,000‐km depth beneath East Asia. Our results show that trench‐parallel fast‐velocity directions (FVDs) are visible in shallow portion subducting Pacific...

Polarimetric technology has been one of the most important advances in microwave remote sensing during recent decades. H-alpha decomposition, which is a type polarimetric analysis technique, common for terrain and land-use classification synthetic aperture radar. However, technique less ground penetrating radar (GPR) community. In this paper, we apply decomposition to analyze surface GPR data obtain attributes subsurface target classification. Also, by combining migration, can color-coded...

Abstract We study the detailed 3‐D crustal and upper mantle structure beneath active Changbai intraplate volcano in Northeast China by conducting a trans‐dimensional Bayesian inversion of teleseismic receiver functions Rayleigh‐wave group velocity dispersions from ambient noise. More than 12,000 recorded at 78 seismic stations 1,573 are used this study. Receiver‐function H‐κ stacking measurements reveal thick crust (~40 km) with high Vp/Vs ratio (~1.8) volcano. Our joint results show...

Abstract Much of the Martian surface is covered by a weathering layer (regolith or soil) produced long-term processes such as impact gardening, eolian erosion, water weathering, and glacial modifications. China’s first mission, Tianwen-1, employed Mars Rover Penetrating Radar (RoPeR) to unveil detailed structure regolith assess its loss tangent. The RoPeR radargram revealed local be highly heterogeneous geologically complex characterized structures that resemble partial complete crater walls...

Simulating seismic wave propagation by solving the equation is one of most fundamental topics in applied geophysics. Considering elastic nature Earth, it important to simulate behavior waves. Compared with acoustic equation, often requires a larger computational cost solve equation. For finite-difference method, for simulating wavefields increases greatly include multiple wavefield components. We propose scattered form frequency-domain using deep learning framework, called physics-informed...

Abstract The large‐volume lithospheric mantle xenoliths around the Damaping area provides valuable insights into detailed destruction progression of North China Craton (NCC). This paper presents a quantitative analysis microstructural and seismic properties oriented (with distinct foliation lineation). selected peridotites all have coarse‐grained textures. olivine crystallographic preferred orientations (CPOs) are predominantly axial‐[010] type (or AG‐type), with girdled [100] OL [001]...

Random noise lowers the S/N of seismic data and decreases accuracy dynamic static corrections, thus degrading final quality. A 2D multistage median filter (MLM) that effectively reduces high-frequency random can be implemented by applying 1D filters (MF) in several directions choosing a value derived from them to output at center window. The choice window size depends on intensity percentage input samples within contain noise. Synthetic used demonstrate how choose size. tendency method...

The rock physics model is an important tool for the characterization of shale reservoirs. We propose improved anisotropic by introducing clay lamination (CL) index as a modeling parameter in effective medium theories. CL describes degree preferred orientation distributions particles, which depends on deposition and diagenesis history determines intrinsic anisotropy shales. Those complicated parameters sophisticated methods that are difficult to quantify substituted CL. applications proposed...

Many natural phenomena, including geologic events and geophysical data, are fundamentally nonstationary. They may exhibit stationarity on a short timescale but eventually alter their behavior in time space. We developed 2D [Formula: see text] adaptive prediction filter (APF) further extended this to 3D version for random noise attenuation based regularized nonstationary autoregression (RNA). Instead of patching, popular method handling nonstationarity, we obtained smoothly APF coefficients...