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Automatic stack velocity picking using a semi‐supervised ensemble learning method Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-14 Hongtao Wang, Jiangshe Zhang, Chunxia Zhang, Li Long, Weifeng Geng
Picking stack velocity from seismic velocity spectra is a fundamental method in seismic stack velocity analysis. With the increase in the scale of seismic data acquisition, manual picking cannot achieve the required efficiency. Therefore, an automatic picking algorithm is urgently needed now. Despite some supervised deep learning–based picking approaches that have been proposed, they heavily rely on
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Multidimensional Q‐compensated reverse time migration using a high‐efficient decoupled viscoacoustic wave equation Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-13 Zilong Ye, Jianping Huang, Xinru Mu, Qiang Mao
Seismic waves propagating through attenuating media induce amplitude loss and phase dispersion. Neglecting the attenuation effects during seismic processing results in the imaging profiles with weakened energy, mispositioned interfaces and reduced resolution. To obtain high‐quality imaging results, Q‐compensated reverse time migration is developed. The kernel of the Q‐compensated reverse time migration
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Determination of the magnetization direction via correlation between reduced‐to‐the‐pole magnetic anomalies and total gradient of the magnetic potential with vertical magnetization Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-12 Xiange Jian, Shuang Liu, Zuzhi Hu, Yunxiang Liu, Hongzhu Cai, Xiangyun Hu
The total magnetization of an underground magnetic source is the vector sum of the induced magnetization and the natural remanent magnetization. The direction of the total magnetization serves as important a priori information in the inversion and processing of magnetic data. We demonstrated that the total gradient of the magnetic potential with vertical magnetization constitutes the envelope of the
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Multi-geophysical methods for characterizing fractures in an open pit mine, western Bushveld Complex, South Africa Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-05 Moyagabo K. Rapetsoa, Sikelela Gomo, Musa S. D. Manzi, Ian James, Jureya Dildar, Mpofana Sihoyiya, Ndamulelo Mutshafa, Raymond J. Durrheim
In the Bushveld Complex, South Africa, open pit mines are faced with a challenge of rock slope stability due to geological structures (fractures, faults and dykes) that compartmentalize the rock mass. Geophysical surveys (seismics, magnetics and electrical methods) were conducted in a 0.2 km2 area at Tharisa mine, with the goal to delineate fractures that may be potential conduits for water migration
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Building initial model for seismic inversion based on semi-supervised learning Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-05 Qianhao Sun, Zhaoyun Zong
Seismic inversion is an important tool for reservoir characterization. The inversion results are significantly impacted by a reliable initial model. Conventional well interpolation methods are not able to meet the needs of seismic inversion for lateral heterogeneous reservoirs. Inspired by the sequence modelling network and seismic inversion in the Laplace–Fourier domain, we propose an initial model-building
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Stress‐induced anisotropy in Gulf of Mexico sandstones and the prediction of in situ stress Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-01 Colin M. Sayers, W. Scott Leaney, Tom R. Bratton
The strong sensitivity of velocity to stress observed in many sandstones originates from the response of stress‐sensitive discontinuities such as grain contacts and microcracks to a change in effective stress. If the change in stress is anisotropic, then the change in elastic wave velocities will also be anisotropic. Characterization of stress‐induced elastic anisotropy in sandstones may enable estimation
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Characterization and analysis of attenuation anisotropy in viscoelastic vertical transverse isotropic media Geophys. Prospect. (IF 2.6) Pub Date : 2024-02-29 Yijun Xi, Xingyao Yin
Due to the intrinsic attenuation of the earth, the study of wave propagation characteristics, considering seismic attenuation plays an important role in high‐precision reservoir prediction. Therefore, we investigate the propagation and reflection characteristics of seismic waves in viscoelastic vertical transverse isotropic media in the complex frequency domain. Specifically, we analyse the response
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Stationary‐phase analysis of time‐shift extended imaging in a constant‐velocity model Geophys. Prospect. (IF 2.6) Pub Date : 2024-02-26 W. A. Mulder
To estimate the depth errors in a subsurface model obtained from the inversion of seismic data, the stationary‐phase approximation in a two‐dimensional constant‐velocity model with a dipped reflector is applied to migration with a time‐shift extension. This produces two asymptotic solutions: one is a straight line, and the other is a curve. If the velocity differs from the true one, a closed‐form expression
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High-resolution reservoir prediction method based on data-driven and model-based approaches Geophys. Prospect. (IF 2.6) Pub Date : 2024-02-23 Liu ZeYang, Song Wei, Chen XiaoHong, Li WenJin, Li Zhichao, Liu GuoChang
The Jiyang depression in the southeastern part of the Bohai Bay Basin has a relatively large scale set of shale oil in the Paleogene Shahejie Formation, but the complex internal components lead to narrow frequency bands, low resolution and difficulty in reservoir information extraction. Impedance is important information for reservoir characterization, and how to predict high-resolution impedance using
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A facies‐constrained geostatistical seismic inversion method based on multi‐scale sparse representation Geophys. Prospect. (IF 2.6) Pub Date : 2024-02-23 Qin Su, Xingrong Xu, Ting Chen, Jingjing Zong, Hua Wang
Geostatistical seismic inversion is an important method for establishing high‐resolution reservoir parameter models. There is no accurate representation method for reservoir structural features, and prior information about structural features cannot be incorporated into geostatistical inversion. Based on the assumption of the sparsity of stratigraphic sedimentary features, the same type of structural
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Quantitative pressure and saturation engineering values from 4D PP and PS seismic data Geophys. Prospect. (IF 2.6) Pub Date : 2024-02-18 Ali Tura, Marihelen Held, James Simmons, Arnstein Kvilhaug, Per Eivind Dhelie
For field development and drilling decisions, production assets and reservoir engineers require dynamic reservoir properties, such as saturation and pressure changes of a reservoir from the pre-production virgin state. To date, geophysicists have produced time-lapse (4D) seismic attributes (mostly on stacked seismic data) rather than dynamic parameters directly. In this paper, we present a new method
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Imaging the shallow velocity structure of the slow-spreading ridge of the South China Sea with downward continued multichannel seismic data Geophys. Prospect. (IF 2.6) Pub Date : 2024-02-13 Wenbin Jiang, Heng Zhang, Fuyuan Li, Ruwei Zhang, Baojin Zhang, Yuan Gu, Lijie Wang
High-resolution shallow oceanic crust velocity models provide crucial information on the tectonothermal history of the oceanic crust. The ocean bottom seismometers record wide-angle seismic reflection and refraction data to image deeper structures compared with streamer data set. However, most ocean bottom seismometers experiments produce low-resolution velocity models with limited shallow crustal
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Enhancing the resolution of three-dimensional migration images based on space-variant point spread function deconvolution Geophys. Prospect. (IF 2.6) Pub Date : 2024-02-13 Cewen Liu, Mengyao Sun, Wei Wu, Nanxun Dai, Mingjie Guo, Yanwen Wei, Xiaofeng Wu, Haohuan Fu
Improving the resolution of seismic migration images plays an important role for geophysical interpreters to characterize underground reservoirs. However, the classical image domain least-squares migration method based on the local-stationary assumption cannot obtain a satisfactory high-resolution seismic image due to the significant spatial variant characteristics of the point spread function. To
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A new method of smoothness-constrained magnetotelluric modelling with the utility of Pareto-optimal multi-objective particle swarm optimization Geophys. Prospect. (IF 2.6) Pub Date : 2024-02-13 Ersin Büyük
Particle swarm optimization, one of the modern global optimization methods, is attracting widespread interest because it overcomes the difficulties of conventional inversion techniques, such as trapping at a local minimum and/or initial model dependence. The main characteristic of particle swarm optimization is the large search space of parameters, which in a sense allows the exploration of the entire
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Seismic communication data processing based on compressed sensing algorithm Geophys. Prospect. (IF 2.6) Pub Date : 2024-02-13 Yuanjie Jiang, Xuefeng Xing
Geophysical prospecting signals encompass subsurface structural information and incorporate textual messages generated in accordance with a specific pattern. These signals can be employed in places without radio access to ensure public and worker safety. Therefore, the use of seismic signals to transmit information through the earth has attracted the attention of researchers in the last decade. Presently
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Shear-wave velocity structure derived from seismic ambient noise recorded by a small reservoir monitoring network Geophys. Prospect. (IF 2.6) Pub Date : 2024-02-14 Ilaria Barone, Valeria Cascone, Alessandro Brovelli, Giorgio Tango, Sergio Del Gaudio, Giorgio Cassiani
Reservoir monitoring is essential to guarantee safe operations for all activities involving the production and injection of fluids into the subsurface, such as hydrocarbon production, gas storage and the exploitation of geothermal reservoirs. For this purpose, microseismic monitoring networks are operated in real time in order to identify and locate any possible seismic events in the vicinity of the
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Research on intelligent identification algorithm of coal and rock strata based on Hilbert transform and amplitude stacking Geophys. Prospect. (IF 2.6) Pub Date : 2024-02-09 Pengqiao Zhu, Xianlei Xu, Suping Peng, Zheng Ma
The high precision identification of coal–rock layers is a significant challenge in intelligent mining. There is a large amount of electromagnetic noise and metal reflector signals in the full space detection environment of mining roadway, which makes it hard to distinguish the reflected waves at interface from a set of echo signals generated by the interface due to the similar amplitudes among them
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Marine vibrator source motion correction for strictly monotonic sweeps Geophys. Prospect. (IF 2.6) Pub Date : 2024-02-05 Stephen Secker, Jean-Patrick Mascomere, Aline Robin
Marine vibrators represent an alternative seismic source technology that could come to market in the near future. A key challenge related to marine vibrator seismic data is the effect that phase dispersion from source motion has on the signal during transmission. As such, the recorded moving vibrator data will benefit from being phase corrected, so that the data appear as if they had been shot with
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Low-frequency seismic deghosting in a compressed domain using parabolic dictionary learning Geophys. Prospect. (IF 2.6) Pub Date : 2024-01-27 Mohammed Outhmane Faouzi Zizi, Pierre Turquais, Anthony Day, Morten W. Pedersen, Leiv J. Gelius
Deghosting is an important technique in the marine seismic industry, as it plays a crucial role in mitigating the effects of ghost reflections from the sea surface, which can significantly impact the accuracy and resolution of subsurface imaging. In recent years, various acquisition-based techniques have been developed to tackle the challenge of removing receiver–ghost reflections, which is the focus
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Explainable artificial intelligence-driven mask design for self-supervised seismic denoising Geophys. Prospect. (IF 2.6) Pub Date : 2024-01-27 Claire Birnie, Matteo Ravasi
The presence of coherent noise in seismic data leads to errors and uncertainties, and as such it is paramount to suppress noise as early and efficiently as possible. Self-supervised denoising circumvents the common requirement of deep learning procedures of having noisy-clean training pairs. However, self-supervised coherent noise suppression methods require extensive knowledge of the noise statistics
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Multi-model stacked structure based on particle swarm optimization for random noise attenuation of seismic data Geophys. Prospect. (IF 2.6) Pub Date : 2023-12-20 Qing Zhang, Jianping Liao, Zhikun Luo, Lin Zhou, Xuejuan Zhang
Random noise attenuation is a fundamental task in seismic data processing aimed at improving the signal-to-noise ratio of seismic data, thereby improving the efficiency and accuracy of subsequent seismic data processing and interpretation. To this end, model-based and data-driven seismic data denoising methods have been widely applied, including f–x deconvolution, K-singular value decomposition, feed-forward
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Seismic attribute transformation and porosity prediction of thin water-rich sandstone based on Lambert W–R model Geophys. Prospect. (IF 2.6) Pub Date : 2023-12-20 Wan Li, Tongjun Chen, Haiyang Yin, Liming Zhao, Haicheng Xu
The seismic attributes of water-rich sandstone contain much information about the rock's physical properties and seismic wave parameters. They are commonly used to predict the rock's physical properties (e.g. porosity). However, the seismic attributes of water-rich sandstone are affected by porosity, water saturation and thickness. To eliminate the influence of thickness on the porosity prediction
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Estimating the anisotropy of the vertical transverse isotropy coal seam by rock physics model–based inversion Geophys. Prospect. (IF 2.6) Pub Date : 2023-12-19 Haibo Wu, Jinran Guo, Guangzhong Ji, Yaping Huang, Hai Ding, Peng Lin
Coal seams exhibiting nearly horizontal bedding, and fractures can be characterized as transversely isotropic media with a vertical axis of symmetry, known as vertical transverse isotropy coal seams. The resulting anisotropy cannot be overlooked in high-precision seismic velocity analysis, migration imaging and pre-stack inversion. Therefore, we estimate the anisotropy of the vertical transverse isotropy
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Imaging CO2 reinjection into basalts at the CarbFix2 reinjection reservoir (Hellisheiði, Iceland) with body-wave seismic interferometry Geophys. Prospect. (IF 2.6) Pub Date : 2023-12-19 S. H. W. Hassing, Deyan Draganov, Martijn Janssen, Auke Barnhoorn, K.-H. A. A. Wolf, Jens van den Berg, Marc Friebel, Gijs van Otten, Flavio Poletto, Cinzia Bellezza, Erika Barison, Baldur Brynjarsson, Vala Hjörleifsdóttir, Anne Obermann, Pilar Sánchez-Pastor, Sevket Durucan
As part of the Synergetic Utilisation of CO2 storage Coupled with geothermal EnErgy Deployment project, investigating CO2 reinjection with different seismic methods, both passive and active seismic surveys have been conducted at the geothermal power plant at Hellisheiði, Iceland. During the 2021 survey, two geophone lines recorded noise for a week. We process the passive-source data with seismic interferometry
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Radial profiling of shear slowness from borehole acoustic measurements acquired in thinly laminated formations Geophys. Prospect. (IF 2.6) Pub Date : 2023-12-14 Jingxuan Liu, Carlos Torres-Verdín
Because of their relatively shallow volume of investigation, borehole acoustic measurements can be affected by abnormal near-wellbore conditions such as irregular calliper, drilling-induced formation damage and mud-filtrate invasion, among others. Additionally, borehole-slowness measurements inherently deliver rock elastic properties spatially averaged across the length of the multi-receiver array
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Electroseismic Scholte-wave analysis: A potential method for estimating shear-wave velocity structure of shallow-water seabed sediments Geophys. Prospect. (IF 2.6) Pub Date : 2023-12-13 Xu-Zhen Zheng, Caiwang Shi, Hengxin Ren, Zhanxiang He, Qinghua Huang, Xiaofei Chen
The potential application of conducting Scholte-wave analysis using electroseismic pressure fields excited by an electric current source due to the electrokinetic effect in fluid-saturated porous seabed sediments is investigated. First, we develop a numerical modelling algorithm by combining the Luco–Apsel–Chen generalized reflection and transmission method with the peak-trough averaging method to
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Laboratory experiments and theoretical study of pressure and fluid influences on acoustic response in tight rocks with pore microstructure Geophys. Prospect. (IF 2.6) Pub Date : 2023-12-12 Yan-Xiao He, Shangxu Wang, Hongbing Li, Xiaofeng Dai, Genyang Tang, Chao Sun, Sanyi Yuan, Hanjun Yin, Jialiang Zhang, Peidong Shi, Huiqing Zhang, Pengpeng Wei
Wave-induced fluid flow is considered to be a major source of seismic attenuation and dispersion in porous rocks. From the physical description of partially saturated reservoirs, numerous analytical solutions based on upscaling homogenization theories have been employed to calculate equivalent frequency-dependent poroelastic media. Nevertheless, dispersion and attenuation predictions are often not
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Multi-channel seismic reflection study of tectonic–sedimentary features and subduction initiation in the middle Kyushu–Palau Ridge and adjacent basins Geophys. Prospect. (IF 2.6) Pub Date : 2023-12-06 Qin Ke, Hou Fanghui, Du Qizhen, Lu Kai, Zhao Jingtao, Li Panfeng, Meng Xiangjun, Huang Wei, Hu Gang, Sun Jun, Gong Xiaohan
The Kyushu–Palau Ridge and adjacent basins are ideal locations for investigating the formation and evolution of marginal seas and initiation of plate subduction. In this study, the tectonic–sedimentary features and crustal structure of the Kyushu–Palau Ridge and adjacent basins were investigated using newly obtained deep seismic reflection and borehole data. The initial mechanism of subduction in the
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Stochastic inversion of time-lapse electrical resistivity tomography data by means of an adaptive ensemble-based approach Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-29 Alessandro Vinciguerra, Mattia Aleardi, Line Meldgaard Madsen, Thue Sylvester Bording, Anders Vest Christiansen, Eusebio Stucchi
Inversion of time-lapse electrical resistivity tomography is an extension of the conventional electrical resistivity tomography inversion that aims to reconstruct resistivity variations in time. This method is widely used in monitoring subsurface processes such as groundwater evolution. The inverse problem is usually solved through deterministic algorithms, which usually guarantee a fast solution convergence
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Numerical and experimental study of ultrasonic seismic waves propagation and attenuation on high-quality factor samples Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-29 Marine Deheuvels, Florian Faucher, Daniel Brito
We propose an approach for measuring seismic attenuation at ultrasonic frequencies on laboratory-scale samples. We use a Gaussian filter to select a bandwidth of frequencies to identify the attenuation in a small window and, by moving the window across the frequency content of the data, we determine the frequency-dependent attenuation function. We assess the validity of the method with three-dimensional
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Time-lapse applications of the Marchenko method on the Troll field Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-27 Johno van IJsseldijk, Joeri Brackenhoff, Jan Thorbecke, Kees Wapenaar
The data-driven Marchenko method is able to redatum wavefields to arbitrary locations in the subsurface, and can, therefore, be used to isolate zones of specific interest. This creates a new reflection response of the target zone without interference from over- or underburden reflectors. Consequently, the method is well suited to obtain a clear response of a subsurface reservoir, which can be advantageous
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Ultra-resolution surface-consistent full waveform inversion Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-27 Daniele Colombo, Ernesto Sandoval-Curiel, Ersan Turkoglu, Diego Rovetta, Apostolos Kontakis
Full waveform inversion for land seismic data requires the development of specific strategies for modelling the complex response associated to the near surface. Seismic wave propagation is distorted by several effects, such as topographic relief, wavefield scattering, attenuation (often frequency-dependent) and anisotropy. The modelling of such shallow complexities is often unmanageable by parametric
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Numerical simulation of fracking and gas production in shale gas reservoirs Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-27 Naddia D. Arenas Zapata, Gabriela B. Savioli, Juan E. Santos, Patricia M. Gauzellino
In this work, different stages of gas production in shale reservoirs are modelled. First, hydraulic fracturing is considered by injecting water at high pressures to crack the formation and increase the flow capacity of the reservoir. During the fluid injection, rock properties are modified and water appears in the stimulated area. Then, these changes can be detected through seismic monitoring. Finally
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Deep carbonate fault–karst reservoir characterization by multi-task learning Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-20 Zheng Zhang, Haiying Li, Zhe Yan, Jiankun Jing, Hanming Gu
The carbonate fault–karst reservoir is a special and significant reservoir in the Shunbei area, and the development of the cave has been controlled by strike-slip faults. Due to the complex subsurface structures, fault–karst reservoir characterization is generally divided into fault and cave detection tasks. The potential spatial relationships between faults and caves might be neglected by using the
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Gravity and magnetic exploration applied to iron ore deposits in the Sierra Grande area, Río Negro Province, Argentina Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-20 Marcos E. Bahía, Leonardo Strazzere, Leonardo Benedini, Daniel A. Gregori, José Kostadinoff
The Ordovician–Devonian Sierra Grande Formation, Río Negro Province, Argentina contains three quarzitic members with two iron horizons. Its South Deposit includes both iron horizons. However, the East Deposit is relatively unknown, lacking information about geometry, depth and reserves. To answer these questions, we apply geophysical methods for the rapid evaluation of the East Deposit, using gravity
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Two-dimensional anisotropic acoustic wave modelling using the support operator method Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-20 Iktesh Chauhan, Sujith Swaminadhan, Rahul Dehiya
We developed an algorithm to simulate two-dimensional frequency domain acoustic-wave response in a transversely isotropic medium with a tilted symmetry axis. The algorithm employs a support operator finite-difference method for modelling. This method constructs a nine-point stencil finite-difference scheme for second-order elliptic equations for generalized anisotropic physical properties. The medium's
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Sensitivity study of the critical angle in elastic orthorhombic media Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-10 Shibo Xu, Alexey Stovas
The critical angle plays a crucial role in data processing for refraction seismology. In the context of three-dimensional data, the critical angle exhibits azimuthal dependence, particularly in the presence of an anisotropic model. In this paper, we propose a method to determine the critical angle (phase angle) and analyse the sensitivity of the critical angle to the model parameters and the available
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Seismic fluid identification method based on the joint PP- and SH–SH-wave stochastic inversion Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-09 Ying Lin, Guangzhi Zhang, Baoli Wang, Zhenyu Zhu, Jianhu Gao, Lin Li
Pre-stack seismic inversion is an effective method for elastic parameter inversion using seismic data, which facilitates seismic fluid identification. However, pure PP-wave inversion has issues of strong multi-solution and limited prediction accuracy. Therefore, we propose a seismic fluid identification approach based on the joint PP- and SH–SH-wave stochastic inversion. First, the linearized SH–SH-wave
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A denoising method of microseismic data based on a single-channel phase space reconstruction and independent component analysis algorithm Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-07 Huijie Meng, Huahui Zeng, Xingrong Xu, Yanxiang Wang, Huan Liu, Dongsheng Li
Estimating clean seismic signals from noisy single-channel records is a hot research topic in the field of microseismic data processing. Due to the existence of strong random noise, the signal-to-noise ratio of such data is low, presenting a challenge for signal restoration. In this paper, we propose a denoising method of microseismic data based on a single-channel phase space reconstruction and independent
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Methodology of elastic full-waveform inversion of multicomponent ocean-bottom data for anisotropic media Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-07 Harpreet Sethi, Ilya Tsvankin, Jeff Shragge
Full-waveform inversion of multicomponent data can provide an improved estimation of medium parameters using both compressional- and shear-wave information. However, most earlier studies that involved a full-waveform inversion of ocean-bottom data are based on acoustic anisotropic or elastic isotropic approximations. Here, we consider realistic elastic anisotropic media and develop an efficient full-waveform
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A computationally efficient Bayesian approach to full-waveform inversion Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-07 Sean Berti, Mattia Aleardi, Eusebio Stucchi
Conventional methods solve the full-waveform inversion making use of gradient-based algorithms to minimize an error function, which commonly measure the Euclidean distance between observed and predicted waveforms. This deterministic approach only provides a ‘best-fitting’ model and cannot account for the uncertainties affecting the predicted solution. Local methods are also usually prone to get trapped
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Dynamic positioning method and precision analysis of marine seismic vertical cables Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-03 Wei Jia, Yang Yuan, Liu Huaishan, Feng Jing, Liu Hongwei, Zhang Dong, Liu Huimin
Similar to conventional ocean bottom seismometers and ocean bottom cables, the attitude and position of vertical cables deployed on the seafloor should be calibrated. However, due to the effect of ocean currents, the cable attitude is not stationary. Therefore, a new method for the dynamic repositioning of vertical cables is required. The dynamic repositioning of the hydrophones on vertical cables
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Limits of three-dimensional target detectability of logging while drilling deep-sensing electromagnetic measurements from numerical modelling Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-01 Nazanin Jahani, Carlos Torres-Verdín, Junsheng Hou
Subsurface energy resources are often found in three-dimensional and non-spatially continuous rock formations that exhibit electrical anisotropy. Deep-sensing tri-axial borehole electromagnetic measurements are currently being used to detect three-dimensional fluid-bearing subsurface formations, but borehole environmental, geometrical and instrument-design factors, together with measurement noise,
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Application of sensitivity patterns to inversion of magnetotelluric field data in Utah for selecting optimal input Geophys. Prospect. (IF 2.6) Pub Date : 2023-11-01 Janghwan Uhm, Dong-Joo Min, Junyeong Heo
Many different magnetotelluric response functions such as the impedance and tipper which are converted from measured electromagnetic fields to remove the effects of natural sources have been proposed and studied. To obtain good inversion results, it is important to know that the inversion results depend on the sensitivity patterns of the magnetotelluric response functions used as the input, indicating
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A novel automatic source point deviating method based on dynamic programming Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-31 Li Long, Chunxia Zhang, Hongtao Wang, Jiangshe Zhang, Yan Wang, Xujiang Zhu, Huibing Zhao, Yinpo Xu, Long Wu
Seismic geometry design is the first step for the seismic prospecting, which would substantially influence the quality of acquired seismic data. Earlier researchers have focused more on tuning systemic parameters and offsetting source points. However, due to the complex geographical factors, the real layout is often different from the pre-plan design, which is designed by experts in advance. In this
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Research note: Application of refraction full-waveform inversion of ocean bottom node data using a squared-slowness model parameterization Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-30 Sérgio Luiz da Silva, Felipe Costa, Ammir Karsou, Felipe Capuzzo, Roger Moreira, Jorge Lopez, Marco Cetale
Full-waveform inversion is a wave equation–based imaging technique for obtaining subsurface model parameters by matching modelled with field data. Full-waveform inversion is often formulated as a local optimization problem in which the model parameterization influences the gradient preconditioner and the convergence rate associated with the full-waveform inversion objective function. Model parameterization
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Third-order elasticity of transversely isotropic field shales Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-30 Audun Bakk, Marcin Duda, Xiyang Xie, Jørn F. Stenebråten, Hong Yan, Colin MacBeth, Rune M. Holt
The formations above a producing reservoir can exhibit large mechanical changes, creating a risk of significant subsidence and loss of rock integrity. These changes can be monitored by time-lapse seismic acquisition, which measures the corresponding velocity changes via time-shifts. Third-order elastic theory can be used to connect subsurface strains and stress changes to these seismic attribute changes
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Blended acquisition with temporally signatured/modulated and spatially dispersed source array: The first pilot survey onshore Abu Dhabi Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-30 Tomohide Ishiyama
Recently, we established a blended-acquisition method: temporally signatured and/or modulated and spatially dispersed source array that jointly uses various signaturing and/or modulation in the time dimension and dispersed source array in the space dimension. We acquired and processed the first pilot programme with our method onshore Abu Dhabi. In this paper, we review the resulting acquisition-productivity
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Dispersion computation of guided waves in a layered transversely isotropic elastic medium sandwiched between two half-spaces Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-30 Sankar N. Bhattacharya
A transversely isotropic elastic medium with a vertical axis of symmetry is considered. We obtain dispersion equations in real terms for guided Love and Rayleigh waves in a such a medium consisting of horizontal layers sandwiched between two half-spaces by brief modifications of the available literatures on dispersion equations in elastic layered media through transfer matrix. To illustrate the applicability
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Joint inversion for facies and petrophysical properties based on a bi-level optimization model Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-27 Jin Wen, Dinghui Yang, Yuanfeng Cheng, Zhipeng Qu, Hongwei Han, Xingmou Wang, Jianbing Zhu, Xijun He, Fan Bu
In many subsurface studies, facies and petrophysical properties are two important reservoir parameters that are closely correlated. They are routinely used in well interpretation, hydrocarbon reserve calculation and production profile prediction. These two parameters have commonly been determined in two separate tasks because of their mathematical differences (facies are discrete, and petrophysical
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Semi-blind-trace algorithm for self-supervised attenuation of trace-wise coherent noise Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-26 Mohammad Mahdi Abedi, David Pardo, Tariq Alkhalifah
Trace-wise noise is a type of noise often seen in seismic data, which is characterized by vertical coherency and horizontal incoherency. Using self-supervised deep learning to attenuate this type of noise, the conventional blind-trace deep learning trains a network to blindly reconstruct each trace in the data from its surrounding traces; it attenuates isolated trace-wise noise but causes signal leakage
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Loss functions in machine learning for seismic random noise attenuation Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-26 Hyunggu Jun, Han-Joon Kim
Seismic random noise is one of the main factors that degrade the quality of seismic data. Therefore, seismic random noise attenuation should be performed appropriately through several stages during seismic data processing, and this requires sufficient experience and knowledge because the proper hyperparameters need to be determined based on the features of the noise in the target seismic data. Recently
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Multichannel seismic data attenuation compensation via curvelet-based sparsity promotion Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-25 Tongtong Mo, Ying Yin, Ren Luo, Benfeng Wang
Due to subsurface viscosity and heterogeneity, the vertical resolution of observed seismic data is decreased after wave propagation, generating nonstationary seismic data with amplitude attenuation and phase distortion. Inverse Q filtering techniques are always used to enhance the vertical resolution of seismic data. However, the majority of inverse Q filtering methods treat attenuation compensation
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Attenuating free-surface multiples and ghost reflection from seismic data using a trace-by-trace convolutional neural network approach Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-23 Mert S. R. Kiraz, Roel Snieder, Jon Sheiman
The presence of the air–water interface (or free-surface) creates two major problems in marine seismic data for conventional seismic processing and imaging: free-surface multiples and ghost reflections. The attenuation of free-surface multiples remains one of the most challenging noise attenuation problems in seismic data processing. Current solutions suffer from the removal of the primary events along
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Magnetotelluric images of the medium enthalpy Bakreswar geothermal province within a granitic gneissic complex, Eastern Indian Peninsula Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-19 Roshan K. Singh, Ute Weckmann, Shalivahan Srivastava
The Bakreswar geothermal province represents a medium enthalpy geothermal system with its Bakreswar and Tantloie hot springs. It lies within the Chotanagpur Granite Gneissic Complex in the eastern part of the Indian Peninsula. The province has a high heat flow and a high geothermal gradient of 90°C/km. Magnetotelluric data from 95 sites in a frequency range of 10 kHz–10 Hz were acquired over the Bakreswar
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Acoustic signatures of porous rocks permeated by partially saturated, aligned planar fractures Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-18 Natalia N. Salva, Gabriel H. Paissan, Santiago G. Solazzi, J. Germán Rubino
The presence of sets of vertical, parallel fractures is very common in the Earth's upper crust. Notably, open fractures exert critical control on the mechanical and hydraulic properties of the host formation. There is great interest in understanding how fractures interact with seismic waves, as this knowledge could be used to detect and characterize fractures from seismic data. When a seismic wave
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Elastic properties of unconsolidated sandstones of interest for carbon storage Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-17 Colin M. Sayers, Sagnik Dasgupta
Unconsolidated sandstones are attractive targets for underground storage of carbon due to their high porosity and permeability. Monitoring of injection and movement of CO2 in such formations using elastic waves requires an understanding of the acoustic properties of the sandstone. Current approaches often use the so-called soft-sand model in which a Hertz–Mindlin model of the acoustic properties at
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Multiparameter least-squares reverse time migration using the viscoacoustic-wave equation Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-07 Peterson Nogueira, Milton Porsani
In viscoacoustic least-squares reverse time migration methods, the reflectivity image associated with the Q factor is negligible, inverting only the velocity (v) parameter or v-related variables such as squared slowness or bulk modulus. However, the Q factor influences the amplitude and phase of the seismic data, especially in basins containing gas reservoirs or storing CO 2 $\rm CO_{2}$ . Therefore
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Detection and picking of shear wave arrival for stiffness evaluation of highly porous chalk Geophys. Prospect. (IF 2.6) Pub Date : 2023-10-04 Ermis Proestakis, Helle F. Christensen, Leonardo T. P. Meireles, Einar M. Storebø, Amirhossein Shamsolhodaei, Tobias Orlander
Elastic wave velocities of compressional and shear waves propagating through sedimentary rocks are often coupled with information of bulk density to derive the rock stiffness. Acquiring the transit time of compressional and shear waves often involves manual picking of wave arrival times from wave trains recorded in the laboratory or by well-logging tools. Picking the compressional wave arrival time