Showing papers in "Journal of Applied Geophysics in 2020"

TL;DR: A new approach based on artificial neural network and standardized non-linear regression analysis is proposed for the prediction of reservoir properties from limited well log data and provides a simple and cost effective way of estimating reservoir properties.

TL;DR: In this article, the authors used GRACE data and outputs of land surface model to estimate the groundwater storage changes over the Nile Delta Aquifer (NDA) in northern Egypt during the period 2003-2012.

TL;DR: A new approach to the inversion of gravity data utilizing the Particle Swarm Optimization (PSO) algorithm is used to model 2D vertical faults to demonstrate the robustness of the PSO inversion algorithm for both synthetic and field gravity data.

TL;DR: In this article, machine learning algorithms coupled with optimizers, and calibrated with a few mechanical rock test measurements, offer a practical method for predicting geomechanical characteristics along an entire wellbore.

TL;DR: In this paper, the applicability of newly developed semi-airborne electromagnetic (EM) systems for mineral exploration by cross-validating inversion results with those of established airborne and ground-based investigation techniques is proved.

TL;DR: Experimental results demonstrate that the presented approach can be used to remove different kinds of cultural noises while preserve the low-frequency signal below 1 Hz, and evaluation results indicate that the proposed method is superior to the conventional methods in terms of the signal-to-noise ratio (SNR), reconstruction error (E) and normalized cross-correlation (NCC).

TL;DR: The results of a ground penetrating radar (GPR) and electrical resistivity tomography (ERT) investigation carried out in the atrium of the Cathedral of Puebla to shed new light on the location of the original temple known as the "Old Cathedral" are presented in this paper.

TL;DR: In this article, a method of automatic detection of road surface cracks using ground penetrating radar (GPR) was proposed and tested on asphalt pavement samples in a controlled laboratory environment, where significant changes in diffracted signal levels were observed in the GPR image.

TL;DR: A novel deep learning method based on U-Net plus Se-ResNet to identify salt bodies in seismic images that does not require domain knowledge expert and it is expected to extract required useful features automatically from the seismic data.

TL;DR: In this paper, a cylindrical plug sample was extracted from the Permian Zechstein Limestone's drill core (West Poland) and the plug was selected upon microscopic research, according to which it contained numerous bendy dissolution channels formed after former foraminifer encrustations surrounding the bryozoans.

TL;DR: Zhang et al. as discussed by the authors used deep learning to establish the deep belief network (DBN) by logging data and achieved an accuracy of 94.8% for lithology identification by the DBN with lithology correction.

TL;DR: In this article, the effect of temperature changes in multiphase porous media polluted by dense nonaqueous phase liquids (DNAPLs) has been investigated using two different column sizes.

TL;DR: Zhang et al. as mentioned in this paper investigated a debris landslide in Xishan village, Sichuan Province, China, by using the transient electromagnetic method (TEM), which is a fast and portable method.

TL;DR: In this article, a parametric analysis was performed and an optimized approach based on Ground Penetrating Radar (GPR) was developed for assessing accurately the compaction of surface layers of hot mix asphalt (HMA) pavements.

TL;DR: In this article, the authors investigated three typical types of hard rocks with different heating effects, including chifeng basalt, Anshan gabbro, and Beishan granite.

TL;DR: In this article, the effect of magnetic susceptibility, NMR measurement parameters, and NMR instrument design on NMR measurements was examined and the authors concluded that the magnetic field strength and higher magnetic field inhomogeneities in the 485-kHz NMR device contribute to a reduction of the impact of inhomogenities caused by materials with high magnetic susceptibility.

TL;DR: The results have shown that the proposed VMD-DFA method could greatly improve the accuracy of signal decomposition and the reliability of the reconstructed signal by adaptively selecting suitable K-order IMFs for different types of interference.

TL;DR: In this article, a comparison of the measured frequency-dependence at a broad frequency range resolved through FDIP and TDIP was conducted, and the results demonstrated that data collected through different instruments are consistent.

TL;DR: A novel anti-aliasing Projection Onto Convex Sets (POCS) interpolation method using the curvelet transform, which works for either regularly or randomly undersampled seismic data.

TL;DR: In this paper, in situ and sampling measurements of naturally occurring radionuclides were investigated in terrestrial sediment in various environments including beaches, wetlands, river basins, and deserts that are within Southern Africa.

TL;DR: An improved background noise and clutter reduction method to enhance the target signals in what amounts to a constructed environment that tends to have more consistent subsurface properties than one might encounter in a general setting is put forward.

TL;DR: In this article, the results from an irregular audio-frequency MAGENetotelluric array consisted of 47 sites deployed around Zhuxi area were used to invert the 3D resistivity distribution by the latest parallel ModEM system.

TL;DR: In this paper, a particle swarm optimization (PSO) algorithm is used for the interpretation of ultra-deep azimuthal resistivity measurements, and a gradient method is applied to accelerate the convergence rate.

TL;DR: This approach facilitates rapid and accurate subsurface conductivity imaging using Bayesian inversion of multi-configuration EMI data, which is particularly pertinent for large-scale measurements.

TL;DR: In this paper, a comprehensive interpretation strategy exemplifying how planning maps should classify areas depending on risk and opportunities is proposed, and two planning maps containing three relevant themes are combined into one conclusive map demonstrating the recommended use of different parts of the area for future urbanisation.

TL;DR: In this paper, the authors developed and applied procedures of GIS and direct current resistivity (DCR) techniques to investigate the wastewater seepage appearance in a semiarid urban environment.

TL;DR: In this article, magnetotelluric (MT) data were acquired at 32 sites with average inter-station spacing of 10 km and impedance tensors were analyzed for distortion and decomposition yielding a dominant strike direction of N105°E, coinciding with the general strike of the Ganga basin.

TL;DR: In this article, the authors used the Fuzzy analytical hierarchy process (FAHP) approach and geographical information systems (GIS) to generate a mineral prospectivity map (MPM) for the southern Kibi-Winneba belt, which shares geological resemblance with the renowned Ashanti belt in Ghana.

TL;DR: In this paper, the authors used a large-scale SQUID magnetic survey and the sighting of historical maps to discover hydro-engineering structures for artificial water supply in the surrounding of a Carolingian summit canal in South Germany.

TL;DR: In this paper, a debiasing step of adding back the residual was introduced into seismic reflectivity inversion using basis pursuit de-noising algorithm (BPDN) to reduce the deviation.