Geophysical Prospecting

Geophysical Prospecting

E-ISSN: 1365-2478

Geophysical Prospecting publishes the best in primary research on the science of geophysics as it applies to the exploration, evaluation and extraction of earth resources. Drawing heavily on contributions from researchers in the oil and mineral exploration industries, the journal has a very practical slant. Although the journal provides a valuable forum for communication among workers in these fields, it is also ideally suited to researchers in academic geophysics.

Editorial Board

Editor-in-Chief: Tijmen Jan Moser
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Coverage	1953-now
Journal Status	Active
Collection(s)	Corporate Collection

Impact Factor	2.6

Call for Papers - Special Issue: Frontiers in Seismic Tomography and Imaging
This Geophysical Prospecting special issue invites paper contributions that focus on improving seismic tomography and imaging with both physics- and data-driven approaches and their applications to derive high-resolution Earth models.
Deadline for the submission is 1 April 2024.

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- High‐resolution unmanned aerial vehicle aeromagnetic surveys for mineral exploration targets
  
  Authors C. Walter, A. Braun and G. Fotopoulos
- A fully unsupervised and highly generalized deep learning approach for random noise suppression
  
  Authors Omar M. Saad and Yangkang Chen
- Seismic data interpolation using deep learning with generative adversarial networks
  
  Authors Harpreet Kaur, Nam Pham and Sergey Fomel
- Attenuation of marine seismic interference noise employing a customized U‐Net
  
  Authors Jing Sun, Sigmund Slang, Thomas Elboth, Thomas Larsen Greiner, Steven McDonald and Leiv‐J. Gelius
- Seismic noise attenuation by signal reconstruction: an unsupervised machine learning approach
  
  Authors Yang Gao, Pingqi Zhao, Guofa Li and Hao Li
- Extended full waveform inversion with matching filter
  
  Authors Yuanyuan Li and Tariq Alkhalifah
- Seismic ground‐roll noise attenuation using deep learning
  
  Authors Harpreet Kaur, Sergey Fomel and Nam Pham
- Attenuation mechanisms in fractured fluid‐saturated porous rocks: a numerical modelling study
  
  Authors Eva Caspari, Mikhail Novikov, Vadim Lisitsa, Nicolás D. Barbosa, Beatriz Quintal, J. Germán Rubino and Klaus Holliger
- Full waveform inversion of SH‐ and Love‐wave data in near‐surface prospecting
  
  Authors E. Dokter, D. Köhn, D. Wilken, D. De Nil and W. Rabbel
- Elastic impedance based facies classification using support vector machine and deep learning
  
  Authors Yohei Nishitsuji and Russell Exley
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Geophysical Prospecting

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Potential field survey of subsurface structures of the NW segment of the Zagros Fold‐Thrust Belt, Kurdistan Region

Frequency‐domain wavefield reconstruction inversion of ground‐penetrating radar based on sensitivity analysis

A rock physics model in vertical transverse isotropy media and its application to Eagle Ford shale

Seismic characterization of Cenomanian–Turonian carbonate platform based on sedimentological and geophysical investigation of onshore analogue outcrop (northern Lebanon)

Pressure and frequency dependence of elastic moduli of fluid‐saturated dual‐porosity rocks

Hybrid mineral model integrating probabilistic and machine learning approaches for the Brazilian pre‐salt carbonate reservoirs

Mapping and litho‐geophysical classification of potential mining areas by spatial remote sensing and helicopter‐borne gamma‐ray spectrometry (Tikirt, Anti‐Atlas, Morocco)

Sparse‐node acquisition for data fitting velocity model building

On pathological orthorhombic models

A review and analysis of errors in post‐stack time‐shift interpretation

Most Read This Month

Most Cited This Month Most Cited RSS feed

High‐resolution unmanned aerial vehicle aeromagnetic surveys for mineral exploration targets

A fully unsupervised and highly generalized deep learning approach for random noise suppression

Seismic data interpolation using deep learning with generative adversarial networks

Attenuation of marine seismic interference noise employing a customized U‐Net

Seismic noise attenuation by signal reconstruction: an unsupervised machine learning approach

Extended full waveform inversion with matching filter

Seismic ground‐roll noise attenuation using deep learning

Attenuation mechanisms in fractured fluid‐saturated porous rocks: a numerical modelling study

Full waveform inversion of SH‐ and Love‐wave data in near‐surface prospecting

Elastic impedance based facies classification using support vector machine and deep learning