ORCID Profile
0000-0002-9227-2972
Current Organisation
University of Tehran
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Publisher: Society of Exploration Geophysicists
Date: 23-12-2022
Abstract: The normal-moveout (NMO) stretch causes decrease in the dominant frequency of seismic wavelet after conventional NMO correction and severely damages the quality of the stacked data for shallower reflectors at far offsets. Muting, which is commonly used to handle this problem, reduces seismic fold and negatively affects results of the litude-variation-with-offset analysis within the stretched area. We found a novel approach to reduce the stretching phenomenon through compensating the lost frequencies by increasing the dominant frequency of the seismic wavelet before applying the NMO correction. The added so-called compensated frequencies are defined according to the difference between the dominant frequency of the original seismic wavelet and the assumed stretched wavelet after the NMO correction. The corresponding procedure considers frequency content of each time s le along each trace in the time-frequency domain using the Gabor transform. As such, the dominant frequency of the seismic wavelets is increased in a nonstationary manner. Performance of our method is evaluated by applying it on the synthetic and field data ex les. The obtained results suggest that this approach provides common-midpoint (CMP) gathers with reduced stretching effect, with the potential to be considered as another alternative for nonstretch NMO correction. However, it should be noted that the presented method resolves neither the problem of intersecting events nor the multiples in the CMP gather. This method also cannot handle highly contaminated noise data and does not contribute in removing multiples during the frequency compensation process.
Publisher: Wiley
Date: 22-07-2022
Abstract: Diffractions carry out important information about subsurface features. These features include small‐scale objects, fracture zones and faults. There have been several robust pre‐ and post‐stack diffraction imaging workflows in the literature to attribute diffraction locations and properties. Most of the traditional workflows are not fully capable of dealing with polarity reversals in the case of polarity reversed diffracted wavefields. This challenge causes null measures at the location of such diffractions. To overcome this issue, which is an ongoing subject of research, we propose to implement local semblance analysis along moveout curves. To do so, the global scanning window is sub ided into smaller windows followed by semblance analysis over each window. The final coherency measure in each image point is computed by averaging the semblance measures from all the sub ided windows. We demonstrated the proposed workflow on synthetic as well as field recorded datasets in the post‐stack domain. The results prove the capability of the proposed method in circumventing polarity reversals without any need to conduct polarity correction prior to imaging. At the end, we studied the seismic imaging resolution in the presence of white noise through the proposed approach.
Publisher: Wiley
Date: 06-2021
Abstract: Obtaining accurate velocity models plays a crucial role in many routine seismic imaging algorithms. Seismic velocity models are normally made through seismic velocity analysis workflows. The routine workflows are not capable of dealing with polarity variations across moveout curves. We address this limitation by proposing a straight‐forward and robust semblance‐based workflow, which is a modified version of the conventional semblance function. The coherency function applies semblance analysis on separate clusters of receivers followed by averaging the corresponding coherency measures from all the clusters. The proposed approach is suitable for any case of litude variations including attenuation and any class of litude‐versus‐offset effects. The ability of the proposed workflow is demonstrated to two synthetic data as well as two field‐recorded common‐midpoint gathers. We perform accuracy analysis by comparing the results from the proposed approach with the results achieved from conventional velocity analysis, and another semblance‐based algorithm that is developed to address the polarity variation task. We also studied noise sensitivity analysis by computing and comparing mathematical expectations between theory and practice.
Publisher: Society of Exploration Geophysicists
Date: 09-2013
Abstract: The variation of frequency content of a seismic trace with time carries information about the properties of the subsurface reflectivity sequence. Time-frequency (TF) analysis is a significant tool to extract such information for seismostratigraphic interpretation purposes. However, several TF transforms have been reported in the literature higher resolution and sensitivity to local changes of the signal have always mattered. We have developed an adaptive high-resolution TF transform that is performed in two sequential steps: First, the window length is adaptively determined for each s le of the signal such that it leads to maximum compactness of energy in the resulting TF plane. Second, the generated nonstationary windows are used to inversely decompose the signal under study via a convex constrained sparse optimization, where a mixed norm of the TF coefficients is minimized subject to invertibility of the transform. Later on, the optimized transform is used as an efficient tool for seismic data analysis such as thin-bed characterization and thin-bedded gas reservoir detection. In the case of gas reservoir detection, based on litude versus offset analysis in the TF domain, a simple new method called the difference section was evaluated. The results of various numerical ex les from synthetic and field data revealed a remarkable performance of the proposed method compared with the state-of-the-art TF transforms.
No related grants have been discovered for Hamid Reza Siahkoohi.