Abstract

The article demonstrated the dynamic interpretation of the 3D seismic survey materials with using of spectral decomposition, as well as qualitative and quantitative interpretation. Considered theoretically basics of this method, as well as shown in the examples, the main methods of spectral decomposition analysis. Achieved through a study of the quantitative prediction of the amplitude-frequency spectra. Objects of research: Area of 3D seismic, the Komi Republic and Perm Region.

Keywords

3D seismic, dynamic interpretation, spectral decomposition, RGB-blending, wedge model, clastic sediments, carbonate deposits,

Reference

  •  1) Nikulnikov A.Yu. Interpretaciya dannyh seysmorazvedki 3D na osnove spektralnoy dekompozicii i nelineynyh zavisimostey dinamicheskih atributov s celyu prognoza neftegazonasyschennyh kollektorov: avtoreferat dissertacii na soiskanie uchenoy stepeni kandidata tehnicheskih nauk. M., 2012.

  •  2) Chakraborty Avijit and Okaya David. Frequency-time decomposition of seismic data using wavelet-based methods: Geophysics, vol. 60, no. 6 (november-december 1995). Rr. 1906-1916.

  •  3) Cooke N., Szafian P. Forward modelling to understand color responses in an HDFD RGB blend around a gas discovery: «First break». March 2014. Vol. 32.

  •  4) Kiran Khonde. Rastogi Richa Recent Developments in Spectral Decomposition of Seismic Data (Techniques and Applications): A Review 10th Biennial International Conference & Exposition, 2012.

  •  5) McArdle N.J. Comparison of Spectral Enhancement Techniques Applied to Post Stack Data: «Spectral Enhancement Techniques». June 2014.

  •  6) McArdle N.J., Ackers. M. & Bryn B.K. Frequency Decomposition Methods Applied to Synthetic Models of the Hermod Submarine Fan System in the North Sea: 74th EAGE Conference & Exhibition incorporating SPE EUROPEC 2012. Copenhagen, Denmark, 4-7 June 2012.

  •  7) McArdle N.J. and Ackers M.A. Understanding seismic thin-bed responses using frequency decomposition and RGB blending: First Break. December 2012. Vol. 30.

  •  8) Norton D., TrondKristensen. Spits, channels and beaches: advanced imaging and delineation of jurassic and triassic stratigraphic targets: «PETEX 2010 Technical Conference Earls». London, 2010.

  •  9) Partyka G.A., Gridley J.M. and Lopez J. Interpretational applications of spectral decomposition in reservoir characterization: The Leading Edge. 1999. Vol. 18. No. 3. Pp. 353-360.

  •  10) Purves S., Basford H. Visualizing Geological Structure with Subtractive Color Blending. GCSSEPM Dec. 2011.

  •  11) Rioul Olivler and Martin Vetterli. Wavelets and signal processing: IEEE SP magazine, 1991.

  •  12) Sinha S., John Castagna. Spectral decomposition of seismic data with continuous wavelet transform: Published by the SEG in: extended abstracts of the 2001 exposition and seventy first annual meeting of the society of exploration geophysicists. San Antonio, 2001.

СПЕКТРАЛЬНАЯ ДЕКОМПОЗИЦИЯ - НОВЫЕ ВОЗМОЖНОСТИ ДЕТАЛЬНОГО ДИНАМИЧЕСКОГО АНАЛИЗА СЕЙСМИЧЕСКИХ ДАННЫХ

Муртазин Д.Г.

Аннотация

В статье продемонстрирована динамическая интерпретация материалов 3D-сейсморазведки с применением спектральной декомпозиции при количественной и качественной интерпретации. Рассмотрены теоретические основы данного метода, а также показаны на примерах основные методы анализа с применением спектральной декомпозиции. Выполнено обоснование количественного прогноза через амплитудно-частотные спектры. Объекты исследования - площади сейсмических работ 3D Республики Коми и Пермского края.

Ключевые слова

Сейсморазведка 3D, динамическая интерпретация, спектральная декомпозиция, модель клина, терригенные отложения, карбонатные отложения,

Информация об авторах

Библиографическая ссылка

Муртазин Д.Г. СПЕКТРАЛЬНАЯ ДЕКОМПОЗИЦИЯ - НОВЫЕ ВОЗМОЖНОСТИ ДЕТАЛЬНОГО ДИНАМИЧЕСКОГО АНАЛИЗА СЕЙСМИЧЕСКИХ ДАННЫХ // Геофизика. 2016. № 5. С. 68-73.

Список литературы

  •  1) Никульников А.Ю. Интерпретация данных сейсморазведки 3D на основе спектральной декомпозиции и нелинейных зависимостей динамических атрибутов с целью прогноза нефтегазонасыщенных коллекторов: автореферат диссертации на соискание ученой степени кандидата технических наук. М., 2012.

  •  2) Chakraborty Avijit and Okaya David. Frequency-time decomposition of seismic data using wavelet-based methods: Geophysics, vol. 60, no. 6 (november-december 1995). Рр. 1906-1916.

  •  3) Cooke N., Szafian P. Forward modelling to understand color responses in an HDFD RGB blend around a gas discovery: «First break». March 2014. Vol. 32.

  •  4) Kiran Khonde. Rastogi Richa Recent Developments in Spectral Decomposition of Seismic Data (Techniques and Applications): A Review 10th Biennial International Conference & Exposition, 2012.

  •  5) McArdle N.J. Comparison of Spectral Enhancement Techniques Applied to Post Stack Data: «Spectral Enhancement Techniques». June 2014.

  •  6) McArdle N.J., Ackers. M. & Bryn B.K. Frequency Decomposition Methods Applied to Synthetic Models of the Hermod Submarine Fan System in the North Sea: 74th EAGE Conference & Exhibition incorporating SPE EUROPEC 2012. Copenhagen, Denmark, 4-7 June 2012.

  •  7) McArdle N.J. and Ackers M.A. Understanding seismic thin-bed responses using frequency decomposition and RGB blending: First Break. December 2012. Vol. 30.

  •  8) Norton D., TrondKristensen. Spits, channels and beaches: advanced imaging and delineation of jurassic and triassic stratigraphic targets: «PETEX 2010 Technical Conference Earls». London, 2010.

  •  9) Partyka G.A., Gridley J.M. and Lopez J. Interpretational applications of spectral decomposition in reservoir characterization: The Leading Edge. 1999. Vol. 18. No. 3. Pp. 353-360.

  •  10) Purves S., Basford H. Visualizing Geological Structure with Subtractive Color Blending. GCSSEPM Dec. 2011.

  •  11) Rioul Olivler and Martin Vetterli. Wavelets and signal processing: IEEE SP magazine, 1991.

  •  12) Sinha S., John Castagna. Spectral decomposition of seismic data with continuous wavelet transform: Published by the SEG in: extended abstracts of the 2001 exposition and seventy first annual meeting of the society of exploration geophysicists. San Antonio, 2001.