Journal of Seismic Exploration Impact Factor & Information

Journal description

Current impact factor: 0.29

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 0.286
2012 Impact Factor 0.209
2011 Impact Factor 0.318
2010 Impact Factor 0.222
2009 Impact Factor 0.25
2008 Impact Factor 0.098
2007 Impact Factor 0.224
2006 Impact Factor 0.244
2005 Impact Factor 0.206
2004 Impact Factor 0.17
2003 Impact Factor 0.222
2002 Impact Factor 0.314
2001 Impact Factor 0.132
2000 Impact Factor 0.131
1999 Impact Factor 0.172
1998 Impact Factor 0.157

Impact factor over time

Impact factor

Additional details

5-year impact 0.20
Cited half-life 0.00
Immediacy index 0.00
Eigenfactor 0.00
Article influence 0.09
Other titles Seismic exploration
ISSN 0963-0651
OCLC 25862080
Material type Periodical
Document type Journal / Magazine / Newspaper

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Seismograms exhibit a good approximation of a geological structure. However, the images they show are generally contaminated by irrelevant information. The noise ground roll in these images can contribute significantly to the distortion of the data present in the desired information, due to the scattering of waves in deeper regions of geological layers. In this work, we used a method based on Haar and Daubechies wavelets applied in conjunction with artificial neural networks to reduce the noise ground roll. This type of noise is normally present in earth seismic images and it is similar to those found in oil reservoirs.
    Journal of Seismic Exploration 02/2015; 24(1):1-14.
  • [Show abstract] [Hide abstract]
    ABSTRACT: An inappropriate acquisition geometry can leave a strong footprint on the stack of 3D seismic data, which would reduce the accuracy of seismic processing and interpretation. However, it is difficult to completely eliminate acquisition footprints using processing methods. In this paper, we propose a quantitative method to calculate the acquisition footprints for given 3D land seismic acquisition geometries, which improves on the usually qualitative methods used in classical seismic geometry design. Our method can obtain the acquisition footprints at any target depth based on the seismic wave propagation (WRW) model in terms of matrix operators in the frequency domain. The footprint is expressed as. relative amplitudes of a stacked image of primaries for every source-receiver pair. With the proposed approach, we could quantitatively evaluate the acquisition footprints of different seismic acquisition schemes for any target depth and ultimately choose the optimal acquisition parameters that would yield the minimal possible footprint before initiating fieldwork. Through two theoretical examples, we investigate the influence two key acquisition parameters, the shot traverse spacing DS and the number of receiver lines repeated in a crossline roll-along K, have on acquisition footprints. Herein, a case study in an oilfield in China is presented by computing the footprint at different depths for different acquisition geometries. The results show that the qualities of the seismic migrations can be greatly improved by choosing the optimal geometry, which has the smallest possible acquisition footprint.
    Journal of Seismic Exploration 02/2015; 24(1):83-102.
  • [Show abstract] [Hide abstract]
    ABSTRACT: Seismic interferometry can redatum sources to the receiver locations in the subsurface, without knowing the information about the medium between sources and receivers. Theoretically, the receivers should be enclosed by the sources; however, in practice this condition is difficult to satisfy. In addition, some trace gathers may be lost. This will cause spurious events in the virtual shot gathers. Since parabolic Radon transform can be used to restore the data with missing trace gathers, seismic interferometry based on parabolic Radon transform can avoid the effect of these missing shots or traces, and suppress the spurious events. In addition, computation time can be saved with this method because parabolic Radon transform can usually reduce the data volume. We demonstrate this method with synthetic data and OBS data collected in the South China Sea.
    Journal of Seismic Exploration 02/2015; 24(1):37-50.
  • [Show abstract] [Hide abstract]
    ABSTRACT: ABSTRACT Techniques for detecting faults have been applied to a 3D seismic data acquired in the shallow offshore Niger Delta. A volume containing the dip and azimuth of the traces was first computed directly from the data. The data was enhanced by applying filters to compute two structurally-improved volumes containing localized and sub-regional seismic dips respectively. Volumetric similarity of the traces was then computed using the seismic reflection and sub-regional dip data as input. The enhanced data highlighted discrete zones of dip and similarity anomalies representing listric normal and counter regional faults with improved visibility of wall-rock volumes. The case study demonstrates the benefits of dip-steered similarity for the enhanced detection of faults and improved visibility of zones next to the faults
    Journal of Seismic Exploration 02/2014; 23(1):19 - 30.
  • Journal of Seismic Exploration 01/2014;
  • Journal of Seismic Exploration 09/2013; 22(4).
  • Journal of Seismic Exploration 04/2013; 22(4):353-372.