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Czasopismo
2015 | Vol. 63, no. 3 | 761--775
Tytuł artykułu

An Amplitude-normalized Pseudo Well-log Construction Method and its Application on AVO Inversion in a Well-absent Marine Area

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
AVO inversion is hard to be efficiently applied in unexploited fields due to the insufficiency of well information. For the sake of AVO inversion in a well-absent area, the most conventional method is to construct pseudo well-logs by defining seismic processing velocity as the P-velocity and computing S-velocity and density using empirical formulas, yet the resolution of the corresponding earth models and final inverted results could be extremely low, and a rough formula could destroy the inversion thoroughly. To overcome this problem, an amplitudenormalized pseudo well-log construction method that reconstructs pseudo well-logs in accordance with computed P-wave reflection amplitudes and nearby drilling data is proposed in this paper. It enhances the inversion resolution efficiently with respect to the real elastic parameter relationships, so that the corresponding AVO inversion results are reasonably improved. In summary, the proposed method is successfully applied in the AVO inversion of a well-absent marine area, and could be valuable in the early phase, particularly of the offshore hydrocarbon exploration.
Wydawca

Czasopismo
Rocznik
Strony
761--775
Opis fizyczny
Bibliogr. 10 poz., rys., wykr.
Twórcy
autor
  • China University of Petroleum – Beijing, Beijing, China
autor
  • China University of Petroleum – Beijing, Beijing, China
autor
  • China University of Petroleum – Beijing, Beijing, China, yuanyinshou@163.com
  • Petroleum Exploration & Production Research Institute, SINOPEC, Beijing, China
autor
  • Petroleum Exploration & Production Research Institute, SINOPEC, Beijing, China
Bibliografia
  • [1] Connolly, P. (1999), Elastic impedance, The Leading Edge 18, 4, 438-452, DOI: 10.1190/1.1438307.
  • [2] Fan, C., Y. Song, Z. Jiang, Y. Zhang, and M. Sun (2013), Reservoir prediction in a well-absent area - a case study in a marine area. In: 75th EAGE Conference and Exhibition incorporating SPE EUROPEC 2013, 10-13 June 2013, London, UK, Extended abstracts, DOI: 10.3997/2214-4609.20130877.
  • [3] Gidlow, P.M., G.C. Smith, and P.J. Vail (1992), Hydrocarbon detection using fluid factor traces: A case history. In: Joint SEG/EAEG Summer Research Workshop on “How Useful is Amplitude-Versus-Offset (AVO) Analysis?”, Expanded abstracts, 78-89.
  • [4] Hampson, D.P., J.S. Schuelke, and J.A. Quirein (2001), Use of multiattribute transforms to predict log properties from seismic data, Geophysics 66, 1, 220-236, DOI: 10.1190/1.1444899.
  • [5] Hampson, D.P., B.H. Russell, and B. Bankhead (2005), Simultaneous inversion of pre-stack seismic data. In: 75th Annual International Meeting SEG, Expanded abstracts, Society of Exploration Geophysicists, 1633-1637.
  • [6] Lamb, W.J., X.H. Zhu, G.A. McMechan, M.L. Greenberg, and J.P. Castagna (1992), Elastic wave propagation in composite media, Geophysics 57, 9, 1155-1165, DOI: 10.1190/1.1443329.
  • [7] Sun, Z. (1999), Seismic methods for heavy oil reservoir monitoring and characterization, Ph.D. Thesis, University of Calgary, Calgary, Canada.
  • [8] Zhang, Y., Z. Sun, C. Fan, and H. Bai (2011a), Data conditioning for pre-stack inversion - a case study from Xingma area, Liaohe Oil field, China. In: 73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011, 23-26 May 2011, Vienna, Austria, Extended abstracts, DOI: 10.3997/2214-4609.20149593.
  • [9] Zhang, Y., Z. Sam, H. Yang, H. Wang, J. Han, H. Gao, C. Luo, and B. Jing (2011b), Pre-stack inversion for caved carbonate reservoir prediction: A case study from Tarim Basin, China, Pet. Sci. 8, 4, 415-421, DOI: 10.1007/s12182-011-0159-4.
  • [10] Zhang, Y., Z. Sun, and C. Fan (2013), An iterative AVO inversion workflow for S-wave improvement. In: 75th EAGE Conference and Exhibition incorporating SPE EUROPEC 2013, 10-13 June 2013, London, UK, Extended abstracts, DOI: 10.3997/2214-4609.20130268.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-49523bab-eeb8-43de-9c72-432a1cb52841
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