Roshandel Kahoo, A., Gholtashi, S. (2015). An Improvement in Temporal Resolution of Seismic Data Using Logarithmic Time-frequency Transform Method. Iranian Journal of Oil & Gas Science and Technology, 4(2), 27-39. doi: 10.22050/ijogst.2015.9587

Amin Roshandel Kahoo; Saman Gholtashi. "An Improvement in Temporal Resolution of Seismic Data Using Logarithmic Time-frequency Transform Method". Iranian Journal of Oil & Gas Science and Technology, 4, 2, 2015, 27-39. doi: 10.22050/ijogst.2015.9587

Roshandel Kahoo, A., Gholtashi, S. (2015). 'An Improvement in Temporal Resolution of Seismic Data Using Logarithmic Time-frequency Transform Method', Iranian Journal of Oil & Gas Science and Technology, 4(2), pp. 27-39. doi: 10.22050/ijogst.2015.9587

Roshandel Kahoo, A., Gholtashi, S. An Improvement in Temporal Resolution of Seismic Data Using Logarithmic Time-frequency Transform Method. Iranian Journal of Oil & Gas Science and Technology, 2015; 4(2): 27-39. doi: 10.22050/ijogst.2015.9587

An Improvement in Temporal Resolution of Seismic Data Using Logarithmic Time-frequency Transform Method

^{}School of Mining, Petroleum and Geophysics Engineering, University of Shahrood, Shahrood, Iran

Receive Date: 05 December 2014,
Revise Date: 18 March 2015,
Accept Date: 14 March 2015

Abstract

The improvement in the temporal resolution of seismic data is a critical issue in hydrocarbon exploration. It is important for obtaining more detailed structural and stratigraphic information. Many methods have been introduced to improve the vertical resolution of reflection seismic data. Each method has advantages and disadvantages which are due to the assumptions and theories governing their issues. In this paper, we improve the temporal resolution of reflection seismic data using the logarithmic time-frequency transform method. This method has minimum user-defined parameters. The algorithm uses valuable properties of both the time-frequency transform and the cepstrum to extend the frequency band at each translation of the spectral decomposing window. In this method, the displacement of amplitude spectrum by its logarithm is the basic idea of the algorithm. We tested the mentioned algorithm on both synthetic and real data. The results of the both tests show that the introduced method can increase the temporal resolution of seismic data.