ATTENUATION OF RANDOM AND COHERENT NOISE ON 2D SEISMIC DATA OF ARU WATERS, PAPUA

  • Aldwin Adrianus Program Studi Ilmu dan Teknologi Kelautan, Fakultas Perikanan dan Ilmu Kelautan, IPB University, Bogor
  • Henry Munandar Manik Departemen Ilmu dan Teknologi Kelautan, Fakultas Perikanan dan Ilmu Kelautan, IPB University, Bogor
  • Tumpal Bernhard Nainggolan Pusat Penelitian dan Pengembangan Geologi Kelautan, Bandung
Keywords: coherent filter, random and coherent noise, spatial filter

Abstract

Seismic data always consists of the desired main signal and a noise component. Therefore, this study aims to reduce coherent and random noise in data by using different methods in order to increase the resolution of the data so that the interpretation of the data becomes accurate. Random noise can be removed easily by bandpass filtering and stacking with significant results while coherent noise has to go through more complex stages because coherent noise can overlap with data. Aru waters, where the data for this study was taken, is geographically located at the meeting point of 3 large active plates so that it has great potential in the oil and gas sector. This study uses two main methods to attenuate coherent noise to see the different results of the methods applied to data. The coherent filter which target swell noise and coherent denoising method which target linear coherent noise both produces satisfactory final results. These methods successfully attenuated main target noise that associated with both methods, but coherent denoising method still leaves a faint trace of swell noise inside cross section on the final result. The coherent filter method and the coherent denoising method are quite effective in identifying and attenuating random and coherent noise in the data, but the difference between the two methods lies in the noise target that can be attenuated maximally.

Downloads

Download data is not yet available.

References

Chintia, B., O. Ivansyah, & J. Sampurno. 2017. Analisis parameter gap dalam tahapan dekonvolusi prediktif guna mereduksi short period multiple dan meningkatkan S/N ratio pada pengolahan data seismik refleksi 2D marine. J. Positron, 7(1): 25-33. https://doi.org/10.26418/positron.v7i1.20783

Dondurur, D. & H. Karsli. 2012. Swell noise suppression by wiener prediction filter. J. of Applied Geophysics, 80: 91-100. https://doi.org/10.1016/j.jappgeo.2012.02.001

Elboth, T. & D. Hermansen. 2009. Attenuation of noise in marine seismic data. In: SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists. 3312-3316 pp. https://doi.org/10.1190/1.3255547

Elboth, T., I.V. Presterud, & D. Hermansen. 2010. Time-frequency seismic data de-noising. J. Geophysical Prospecting, 58(3): 441-453. https://doi.org/10.1111/j.1365-2478.2009.00846.x

Elboth, T., H.H. Qaisrani, & Hertweck, T. 2008. De-noising seismic data in the time-frequency domain. In: SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists. 2622-2626 pp. https://doi.org/10.1190/I.3063887

Gumilar, S.I. 2017. Periode deformasi kenozoikum Kepulauan Aru, Cekungan Wokam, Maluku. J. Geologi dan Sumberdaya Mineral, 18(2): 89-103. https://doi.org/10.33332/jgsm.geologi.v18i2.186

Guo, J. & Lin D. 2003. High-amplitude noise attenuation. In: SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists. 1893-1896 pp. https://doi.org/10.1190/I.1817688

Kumar, D. & I. Ahmed. 2020. Seismic noise. In: Gupta H.K. (ed.). Encyclopedia of solid earth geophysics, Encyclopedia of earth sciences series. Springer Nature. Switzerland. 1-6 pp. https://doi.org/10.1007/978-90-481-8702-7_146-1

Nainggolan, T.B., S.M. Rasidin, & I. Setiadi. 2019. Combined multiple attenuation methods and geological interpretation: seram sea case study 2D marine seismic data. Bulletin of the Marine Geology, 34(1): 17-28. https://doi.org/10.32693/bomg.34.1.2019.622

Nugraha, D.M., A.S. Bahri, & D.D. Warnana. 2018. Aplikasi transformasi curvelet untuk denoising random noise: studi kasus data seismik sintetik 2D darat “antiklin”. J. Teknik ITS, 7(1): 46-69. https://doi.org/10.12962/j23373539.v7i1.27883

Peacock, K.L. & Treitel, S. 1969. Predictive deconvolution: theory and practice. J. Geophysics, 34(2): 155-169. https://doi.org/10.1190/1.1440003

Safitri, D., T.B. Nainggolan, & H.M. Manik. 2020. Common reflection surface methods in low fold coverage. IOP Conference Series: Earth and Environmental Science, 429: 1-10. https://doi.org/10.1088/1755-1315/429/1/012032

Sidiq, A.P., H.M. Manik, & T.B. Nainggolan. 2019. Studi komparasi metode migrasi seismik dalam mengkarakterisasi reservoir migas di Blok Kangean, Laut Bali menggunakan inversi impedansi akustik berbasis model. J. Ilmu dan Teknologi Kelautan Tropis, 11(1): 205-219. https://doi.org/10.29244/jitkt.v11i1.23028

Yilmaz, Ö. 2001. Noise and multiple attenuation. in: Seismic data analysis. Chapter 6. Society of Exploration Geophysicists, 837-1000 pp. https://doi.org/10.1190/1.9781560801580

Yilmaz, Ö. 2015. Engineering seismology: with application to geotechnical engineering. Society of Exploration Geophysicists, 964 p. https://doi.org/10.1190/1.9781560803300

Published
2021-04-30
How to Cite
AdrianusA., ManikH. M., & NainggolanT. B. (2021). ATTENUATION OF RANDOM AND COHERENT NOISE ON 2D SEISMIC DATA OF ARU WATERS, PAPUA. Jurnal Ilmu Dan Teknologi Kelautan Tropis, 13(1), 57-69. https://doi.org/10.29244/jitkt.v13i1.32796