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Predicting sandstone water abundance using seismic dispersion attribute inversion: A case study of Yuwang coal mine, China Geophys. Prospect. (IF 2.6) Pub Date : 2024-04-12 Jiasheng She, Guangui Zou, Fei Gong, Hu Zeng, Yanhai Liu, Deliang Teng, Jinxin Li
Predicting the water abundance of coal‐bearing strata is crucial for ensuring mining safety. However, owing to the dispersion and attenuation characteristics caused by pore fluid flow, it is difficult to estimate the water abundance of coal seam roof aquifers using seismic data. To overcome this challenge, we provide the relationship between the frequency‐dependent seismic wave velocity and water saturation
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One‐way waveform inversion: Real marine data application Geophys. Prospect. (IF 2.6) Pub Date : 2024-04-10 Aimen Ben‐hassine, Véronique Duprat, Reda Baina, Daniel Brito
The reflection waveform inversion is a powerful technique to build a large‐scale velocity model of the subsurface by fitting the reflected recorded seismic waves. The reflection waveform inversion is designed based on the pillar concept of model and data‐scale separation. Therefore, its success is related to the ability of its forward modelling engine to separate reflected events distinctly from other
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Two-dimensional SH-wave and acoustic P-wave full waveform inversion: A Midland Basin case study Geophys. Prospect. (IF 2.6) Pub Date : 2024-04-06 Youfang Liu, James Simmons
Building a reliable S-wave velocity model remains challenging from P-wave land seismic data as multi-parameter elastic full waveform inversion which updates P- and S-wave velocities simultaneously is not yet widely adopted due to its computational cost, highly nonlinear nature and noise contamination from land seismic data. To overcome this challenge, we propose implementing the SH-wave full waveform
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Forward and inversion approach for direct current resistivity based on an unstructured mesh and its application to tunnel engineering Geophys. Prospect. (IF 2.6) Pub Date : 2024-04-08 Zhaoyang Deng, Zhiqiang Li, Lichao Nie, Shilei Zhang, Lei Han, Yuancheng Li
The accurate identification of water‐bearing structures is urgently required for the safe construction of tunnel engineering. Currently, the direct current resistivity method is an effective method for detecting water‐bearing structures in tunnels. In the advanced detection of the direct current resistivity based on the finite element method, the traditional hexahedron mesh performs poorly for the
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Double‐difference constrained reflection tomography in two‐dimensional elastic media Geophys. Prospect. (IF 2.6) Pub Date : 2024-04-08 Kai Zhang, Haotian Yang, Zhenchun Li, Min Hu
The inverted velocity model obtained from the reflection tomography based on the angle domain common‐image gathers has a certain fuzziness. The inverted velocity model's stratigraphic interface is always not clear enough in areas with complex stratigraphic structure. In order to improve the accuracy and resolution of the inverted velocity model, a double‐difference constraint condition is added on
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Time difference auto‐extraction methods for in situ sound speed measurements in seafloor sediments Geophys. Prospect. (IF 2.6) Pub Date : 2024-04-03 Qingfeng Hua, Jingqiang Wang, Guanbao Li, Linqing Zhang, Lei Sun, Wuwen Dong
The in situ acoustic measurement of seafloor sediment is an important technical means to obtain the acoustic parameters of seafloor. The time‐of‐flight method is commonly used to calculate the sound speed in seafloor sediment. Accurate identification of signal feature points is essential for determining travel time or travel time difference of acoustic signals. However, the precise identification of
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Comparison of elastic properties of tectonic coals along the face and butt cleat directions Geophys. Prospect. (IF 2.6) Pub Date : 2024-04-02 Fei Gong, Bin Li, Wujiang Kang, Guangui Zou, Suping Peng, Zhaoji Zhang, Guowei Wang
Coalbed methane is a hot spot for gas exploration at present, and fractures are widely developed in the coals. However, despite being essential for a number of geophysical applications such as reservoir prediction and hydraulic fracturing, the influence of fractures on the elastic properties and anisotropy of coals is still poorly understood. Therefore, three groups of cylindrical coals were drilled
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An efficient elastic full‐waveform inversion of multiple parameters with ocean‐bottom seismometer data Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-28 Xinquan Huang, Yuzhu Liu
Detailed knowledge of the subsurface elastic properties might provide much‐needed insight into the subduction‐zone structure and the estimation of reservoir parameters. Compressional and shear wave velocities can be inverted by elastic full‐waveform inversion using multicomponent ocean‐bottom seismometer data. However, this process is computationally intensive, requiring massive, repeated simulations
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qS‐wave decoupling equation for wavefield separation in transversely isotropic media Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-28 Lina Ren, Qizhen Du, Wenhao Lv, Lei Pu, Li‐Yun Fu
Considering the anisotropy of the earth media is helpful in reducing the depth error between seismic and drilling and providing reliable imaging data for seismic interpretation and inversion. Transversely isotropic media with a vertical axis of symmetry are the most common type of anisotropic media and have been under constant study. The separation of the P‐ and S‐wavefields, which affects the accuracy
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Seismic noise attenuation method based on low‐rank adaptive symplectic geometry decomposition Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-27 Jie Fei Yang, Xia Luo, Dezhi Liu, Hanming Gu, Ming Sun
The basic assumption of low‐rank methods is that noise‐free seismic data can be represented as a low‐rank matrix. Effective noise reduction can be achieved through the low‐rank approximation of Hankel matrices composed of the data. However, selecting the appropriate rank parameter and avoiding expensive singular value decomposition are two challenges that have limited the practical application of this
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Research note: A comparison between normalized controlled‐source electromagnetic field components and transfer functions as input data for three‐dimensional non‐linear conjugate gradient inversion Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-26 Paula Rulff, Thomas Kalscheuer
Controlled‐source electromagnetic methods are applied to survey the electrical resistivity distribution of the subsurface. This work compares normalized electromagnetic field components and transfer functions such as impedance tensors and vertical magnetic transfer functions generated by two independent source polarizations as input data for three‐dimensional inversion. As most other available inversion
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Comparison of elastic anisotropy in the Middle and Upper Wolfcamp Shale, Midland Basin Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-26 Colin M. Sayers, Sagnik Dasgupta
Organic‐rich shales contain large amounts of oil and gas and are anisotropic because of fine‐scale layering and the partial alignment of organic matter and anisotropic clay minerals with the bedding. An example is the Wolfcamp Shale in the Permian Basin. Elastic anisotropy needs to be accounted for in the characterization of such formations using seismic data and plays a role in hydraulic fracturing
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Near offset reconstruction for marine seismic data using a convolutional neural network Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-23 Owen Rohwer Huff, Vemund Stenbekk Thorkildsen, Thomas Larsen Greiner, Jan Erik Lie, Andreas Kjelsrud Evensen, Aina Juell Bugge, Jan Inge Faleide
Marine seismic data is often missing near offset information due to separation between the source and receiver cables. To solve this problem, a convolutional neural network is trained on synthetic seismic data to reconstruct the near offset gap. The synthetic data is created using a two‐dimensional finite difference method within a heterogeneous velocity model. These synthetics are generated with a
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Deep‐salt: Complete three‐dimensional salt segmentation from inaccurate migrated subsurface offset gathers using deep learning Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-22 Ana P. O. Muller, Bernardo Fraga, Matheus Klatt, Jessé C. Costa, Clecio R. Bom, Elisangela L. Faria, Marcelo P. de Albuquerque, Marcio P. de Albuquerque
Delimiting salt inclusions from migrated images during the velocity model building flow is a time‐consuming activity that depends on highly human‐curated analysis and is subject to interpretation errors or limitations of the images and methods available. We propose a supervised deep learning based method to include three‐dimensional salt geometries in the velocity models. We compare two convolutional
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Introduction to special issue on seabed prospecting technology Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-20 Lei Xing, Tongcheng Han, Xiangchun Wang, Amir Haroon, Yuguo Li, Bingshou He
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Deblending and interpolation of subsampled blended seismic data based on damped randomized singular spectrum analysis Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-19 Zhuowei Li, Tongtong Mo, Jiawen Song, Benfeng Wang
When compared to traditional seismic data acquisition, irregular blended acquisition significantly promotes the acquisition efficiency. Yet, the blending noise of subsampled blended data introduces new obstacles for the subsequent processing of seismic data. Due to the predictability of linear events in the frequency–space domain, the constructed Hankel matrices exhibit low‐rank characteristics. However
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Improved numerical solution of anisotropic poroelastic wave equation in microseismicity: Graphic process unit acceleration and moment tensor implementation Geophys. Prospect. (IF 2.6) Pub Date : 2024-03-19 Jing Zheng, Tiezhu Li, Jingyu Xie, Yuan Sun
The accuracy and computational efficiency of full waveform forward modelling in poroelastic media are crucial for microseismic monitoring. It enables intuitive, precise and efficient simulation of subsurface responses, thereby improving the reliability of moment tensor inversion and seismic source mechanism interpretation. Additionally, it reflects the role of fluid effects in waveform evolution. In
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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