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Journal : Scientific Contribution Oil and Gas

SPECTRAL DECOMPOSITION TECHNIQUE BASED ON STFT AND CWT FOR IDENTIFYING THE HYDROCARBON RESERVOIR Abdul Haris; Haryono; Agus Riyanto
Scientific Contributions Oil and Gas Vol. 40 No. 3 (2017): SCOG
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.40.3.291

Abstract

The spectral decomposition is one of the advanced interpretation techniques such as seismic inversion, amplitude versus offset analysis, and seismic attribute that helpful in direct interpretative approach in seismic exploration. This technique is a transformation algorithm, thus a signal can be transformed into its varying frequency contained in the seismic signal. There are a variety of spectral decomposition algorithms in the decomposing seismic signal from time domain into frequency domain. These algorithms include Short Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT). The STFT algorithm is a conventional and simple technique for computing a time-frequency spectrum, which is based on the application of Fourier transform. However, the STFT algorithm has a problem related to the frequency resolution. In its implementation, this algorithm is limited by predefi ned window length. In contrast, the CWT algorithm is believed to be able to overcome the limitation of window length. The CWT threats wavelet at certain window length, which is defi ned by the characteristics of the wavelet. In this study, the comparison between spectral decomposition technique based on STFT and CWT method was performed, particularly in its application to the synthetic and real data set. Each algorithm has its own advantages and disadvantages in decomposing the seismic signal. Further, this analysis can be used as a reference to select one of two algorithms for the specifi c application. The synthetic data set application shows that CWT algorithm produces better frequency resolution compared to STFT algorithm. In addition, the real data set application shows that time frequency section of the seismic line provides a spectral feature, which is useful to identify the hydrocarbon reservoir, which is associated with low-frequency shadow zone.
Co-Authors , Fitriyani Abdul Haris Ade Setiawan Adh Dhiya' Husnaputri AGUS IRIANTO Agus Riyanto Alfia Magfirona Ali Mushofa Anthara, I.Made Aryantha ARTANTO, TRI Ary Sutrischastini Atang Saputra Bambang Kriswantara BUDI PRAMONO Budi Santoso Budiman Carolinna Patrichia Sulau Dena Merliana Dian Kurniawati Dika Riyan Saputra Dyah Ratri Nurmaningsih Dyah Susanti Dyan Kunthi Nugraheni Ega Via Ambarwati Erman " Evllyshin Pakadang Fajri Kamilatul Muniroh Fatur Rozi Saputra Fuad Nur Azis Gandi Adnan HARYONO I Gusti Ayu Ketut Rachmi Handayani Indi Rahmayani Indriani Isnatin Miladiyah Joni Welman Simatupang Jutri Bonal Khusnul Khotimah Leli Triana Lenny Husna Lia Lismeri Lisda Amara Dewi M. Syamsul Komar Maieka Sari Istiqomah Mona Megasari Mona Megasari Muhammad Akmal Muhammad Hanif Nadiya Yunan Noor Farid Novie E Mauliku Novie E. Mauliku Nur Anggi Andini nur nabilla Nur Patul Auliah Nurul Hidayati Nurwijayanti Oedjiono Oedjiono Pantas P Pardede Paramita Paraningtyas Ponendi Hidayat Purbayu Budi Santosa Rafif Himawan Nimasdwi Putra Rafsi Azzam Hibatullah Albar Rhiki Sekti Utami Rianda Rianda Rizki Tri Anugrah Bhakti Rudy Syafariansyah Salsabila, Aisyah Seftia Azrianti Senja Rum Harnaeni Shao Hui Zheng Sigit Dani Nugroho Siska Wulandari Siti Rohmah Soegeng Harijanto Sri Kusumadewi Sri Mulyati Sri Sunarjono Sri Wahyuti Suci Muqodimatul Jannah Suhat Suhat Sumardiono Sumardiono Suprayogi Sutanto Priyo Hastono Tjasmana, Felicia Totok Agung D. H. Totok Agung D.H. Tri Laksono Tuti Herningtyas Wendy Yuniarto Yanti Yulianti Yanti Yulianti Yuli Darni Zuhdi Arman