Comparison of Kirchhoff Migration and Reverse Time Migration in the Time Domain: Case Study of Field "Y" North West Java Basin

Omar Moefti, Abdul Haris

Abstract


This study evaluates and compares two seismic migration methods, namely Kirchhoff Migration and Reverse Time Migration (RTM), using 2D seismic data in the North West Java Basin. The main objective of the research is to investigate the relative performance of the two methods in restoring the position of reflectors that have undergone distortion due to the propagation phenomenon of seismic waves. The study involves a detailed analysis and comparison of these methods in terms of accuracy and computational time efficiency. The results show that the Kirchhoff Migration method achieves high accuracy in handling reflectors with significant dip angles. Additionally, this method also demonstrates good computational time efficiency. On the other hand, Reverse Time Migration, although recognized as a sophisticated approach, shows less satisfactory results under the conditions of this study, highlighting its dependence on data complexity and velocity model optimality. This research provides important insights for the appropriate selection of migration methods based on geological characteristics and existing seismic data. Kirchhoff Migration emerges as a superior choice, especially for regions with geological complexity and high dip angles. In conclusion, the selection of migration methods should carefully consider the specific characteristics of the relevant region to achieve optimal results.


Keywords


North West Java Basin; Kirchhoff; Reverse Time; seismic

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References


N. Natasia, M. Kurniawan Alfadli, and I. Syafri, “Eocene-Late Miocene Tectonostratigraphy of Bima Field in Northwest Java Basin,” J. Geol. Sci. Appl. Geol., vol. 2, no. 3, 2017.

O. Yilmaz, Seismic Data Analysis, 2nd ed. Society of Exploration Geophysicists, 2001.

E. Barison et al., “Processing and interpretation of seismic reflection data from the Los Humeros super-hot geothermal system,” Geothermics, vol. 113, p. 102771, 2023, doi: https://doi.org/10.1016/j.geothermics.2023.102771.

Landmark Graphics Corporation, SeisSpace® Seismic Processing and Analysis Training Manual, Volume 1. Houston, Texas: Halliburton, 2011.

G. Liu, Z. Yu, J. Wang, and B. Li, “Accelerating Kirchhoff Pre-stack depth migration on a GPU by overlapping ray tracing and imaging,” Comput. Geosci., vol. 128, pp. 79–86, 2019, doi: https://doi.org/10.1016/j.cageo.2019.04.008.

Z. Feng and G. T. Schuster, “Elastic least-squares reverse time migration,” GEOPHYSICS, vol. 82, no. 2, pp. S143–S157, Feb. 2017, doi: 10.1190/geo2016-0254.1.

M. Steiner and A. Flores Orozco, “formikoj: A flexible library for data management and processing in geophysics—Application for seismic refraction data,” Comput. Geosci., vol. 176, p. 105339, 2023, doi: https://doi.org/10.1016/j.cageo.2023.105339.

M. J. Porsani and B. Ursin, “Direct multichannel predictive deconvolution,” GEOPHYSICS, vol. 72, no. 2, pp. H11–H27, Mar. 2007, doi: 10.1190/1.2432260.

“Dix formula.” doi: 10.1093/oi/authority.20110803095723293.

Chapman, M. (2015). Seismic Amplitude: An Interpreter's Handbook. SEG.

Fomel, S., & Shipp, R. (2006). Local seismic attributes. The Leading Edge, 25(2), 150-152.

Porsani, M. J., & de Lima, E. F. (2006). A review of seismic trace attributes and their physical meaning. Revista Brasileira de Geofisica, 24(4), 325-340.

Biondi, B. (2004). Velocity analysis using AB semblance: Geophysical Prospecting, 52(3), 251-257.

Dellinger, J. A., & Gaiser, J. E. (2005). Spectral decomposition and its potential for reservoir monitoring. The Leading Edge, 24(3), 264-270.

Avseth, P., Mukerji, T., & Mavko, G. (2005). Quantitative seismic interpretation: Applying rock physics tools to reduce interpretation risk. Cambridge University Press.

Taner, M. T. (2001). Multidimensional seismic analysis. The Leading Edge, 20(10), 1080-1096.

Rickett, J., Claerbout, J., & Ikelle, L. (2001). Divergence and nonstationarity in prestack seismic data. Geophysics, 66(6), 1850-1860.

Chopra, S., & Castagna, J. (2014). AVO inversion and attribute to rock properties. SEG Technical Program Expanded Abstracts 2014, 3890-3895.

Fomel, S., & Claerbout, J. (2009). Multidimensional recursive filter design. Geophysics, 74(4), WCC1-WCC11.

Aki, K., & Richards, P. G. (2002). Quantitative Seismology. University Science Books.




DOI: https://doi.org/10.15408/fiziya.v6i2.36356 Abstract - 0 PDF - 0

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