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Thin Bed Reservoir Delineation Using Spectral Decomposition and Instantaneous Seismic Attributes, Pohokura Field, Taranaki Basin, New Zealand

Authors: P. Sophon, M. Kruachanta, S. Chaisri, G. Leaungvongpaisan, P. Wongpornchai


The thick bed hydrocarbon reservoirs are primarily interested because of the more prolific production. When the amount of petroleum in the thick bed starts decreasing, the thin bed reservoirs are the alternative targets to maintain the reserves. The conventional interpretation of seismic data cannot delineate the thin bed having thickness less than the vertical seismic resolution. Therefore, spectral decomposition and instantaneous seismic attributes were used to delineate the thin bed in this study. Short Window Discrete Fourier Transform (SWDFT) spectral decomposition and instantaneous frequency attributes were used to reveal the thin bed reservoir, while Continuous Wavelet Transform (CWT) spectral decomposition and envelope (instantaneous amplitude) attributes were used to indicate hydrocarbon bearing zone. The study area is located in the Pohokura Field, Taranaki Basin, New Zealand. The thin bed target is the uppermost part of Mangahewa Formation, the most productive in the gas-condensate production in the Pohokura Field. According to the time-frequency analysis, SWDFT spectral decomposition can reveal the thin bed using a 72 Hz SWDFT isofrequency section and map, and that is confirmed by the instantaneous frequency attribute. The envelope attribute showing the high anomaly indicates the hydrocarbon accumulation area at the thin bed target. Moreover, the CWT spectral decomposition shows the low-frequency shadow zone and abnormal seismic attenuation in the higher isofrequencies below the thin bed confirms that the thin bed can be a prospective hydrocarbon zone.

Keywords: Hydrocarbon indication, instantaneous seismic attribute, spectral decomposition, thin bed delineation.

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[1] Ministry of Business, Innovation and Employment, 2018, Energy in New Zealand 2018,, accessed 10 January 2020.
[2] New Zealand Petroleum and Minerals, 2014a, NZP&M Data,, accessed 22 February 2020.
[3] New Zealand Petroleum and Minerals, 2014b, Petroleum Fields,, accessed 22 February 2020.
[4] New Zealand Outline Png, 2021, 9507.html, accessed 29 May 2021.
[5] Ministry of Business, Innovation and Employment, 2014, New Zealand Petroleum Basin part one, doing-business/nz-petroleum-basins-part-one.pdf, accessed 22 February 2020.
[6] M. T., Taner, F. Koehler, and R.E. Sheriff, 1979, Complex seismic trace analysis: Geophysics, 44, no. 6, 1041-1063, doi: 10.1190/1.1440994.
[7] S., Koson, P. Chenrai, and M. Choowong, 2014, Seismic attributes and their application in seismic geomorphology: Bulletin of Earth Sciences of Thailand, 6, no. 1, 1-9.
[8] H., Zeng, 2010, Geologic significance of anomalous instantaneous frequency: Geophysics, 75, no. 3, 23-30, doi: 10.1190/1.3427638.
[9] L. A. G. R., Pereira, 2009, Seismic Attribute in Hydrocarbon Reservoirs Characterization, Ph.D. thesis, University of Aveiro.
[10] S., Sinha, P. S. Routh, P. D. Anno, and J. P. Castagna, 2005, Spectral decomposition of seismic data with continuous-wavelet transform: Geophysics, 40, no. 6, 19-25, doi: 10.1190/1.2127113.
[11] G., Partyka, J. Gridley, and J. Lopez, 1999, Interpretational applications of spectral decomposition in reservoir characterization: The Leading Edge, 18, no. 3, 353-360, doi: 10.1190/1.1438295.
[12] A., Kwietniak, 2016, Spectral decomposition of a seismic signal: thin bed thickness estimate and analysis of attenuation zones: Ph.D. thesis, University of Science and Technology AGH.
[13] S., Mallat, 1999, A wavelet tour of signal processing, Academic Press.
[14] S., Chopra, and K. J. Marfurt, 2015, Choice of mother wavelet in CWT spectral decomposition, SEG New Orleans Annual Meeting 2015, SEG, Expanded Abstract, 2957-2961, doi: 10.1190/segam2015-5852193.1.
[15] A. P., Ngeri, E. D. Uko, and I. Tamunobereton-ari, 2018, The Choice of Mother Wavelet in the Application of Continuous Wavelet Transform Method of Spectral Decomposition in Field ‘A’ in Central Niger Delta: Asian Journal of Applied Science and Technology (AJAST), 2, no. 4, 303-314.
[16] A., Haris, I. N. Suabdi, Erwinsyah, Adriansyah, A. Nurhasan, A. Khair, and I. A. Kainama, 2008, Low frequency shadow zone analysis based on CWT spectral decomposition: case study of South Sumatra Basin: 32nd Annual Convention Proceedings, IPA, Proceedings, G-070, doi: 10.29118/ipa.797.08.g.070.
[17] M. B., Widess, 1973, How thin is a thin bed: Geophysics, 30, no. 6, 1176-1180, doi: 10.1190/1.1440403.
[18] Ministry of Economic Development New Zealand, 2006, Seismic Data Processing Report. Pohokura 3D Project Reprocessing, Unpublished Petroleum Report.