Geophysical Prediction Technology Based on Organic Carbon Content in Source Rocks of the Huizhou Sag, the South China Sea

1. Meyer B L,Nederlof M H.: Identification of s-ource rocks on wireline logs by density/resis-tivity and sonic transittime/ resistivity crossplo-ts[J].AAPG Bulletin.1984, 68:121-129.10.1306/AD4609E0-16F7-11D7-8645000102C1865DSearch in Google Scholar

2. Fertl W H,Chillnger G V.: Total organic car-bon content determined from well logs[J].SPE Formation Evaluation,1988,3(2):407-419.10.2118/15612-PASearch in Google Scholar

3. Hester T C,Schmoker J W,Sahl H.: Log-deriv-ed regional source-rock characteristics of theWoodford shale, Anadarko Basin,Oklahoma [J]. U S Geological Survey,Bulletin1866D,1990:1-38.Search in Google Scholar

4. Herrson S L,Letendre I,Dufour M.: Source ro-ck evaluation using geochemical information from wireline logs and cores[J]. AAPG Bulle-tin.1988,72:1007.10.1306/703C9555-1707-11D7-8645000102C1865DSearch in Google Scholar

5. Mann U P,Muller J.Source rock evaluation b-y well log analysis (Lower Toarcian,Hils Synli-ne).: Advances in organic geochemistry 1987[J]. Organic Geochemistry,1988,13:109-129.10.1016/0146-6380(88)90031-9Search in Google Scholar

6. BEERS R F.: Radioactivity and organic cont-ent of some Paleozoic shales[J]. AAPG Bulle-tin,1945,29(1):1-22.Search in Google Scholar

7. Schmoker J W.: Determination of organic co-ntent of appalach-I an devonian shales from formation-density logs[J]. AAPG Bulletin,1979,63:1504-1537.10.1306/2F9185D1-16CE-11D7-8645000102C1865DSearch in Google Scholar

8. Schmoker J W.: Determination of organicmat-ter content of appalachian devonian shale fr-om gammaray logs[J]. AAPG Bulletin,1981,65:1285-1298.10.1306/03B5949A-16D1-11D7-8645000102C1865DSearch in Google Scholar

9. Schmoker J W,Hester T C.: Organic carboni-n bakken forma-tion,united states portion ofeil-liston basin[J].AAPG Bulle-tin,1983,67:2165-2174.10.1306/AD460931-16F7-11D7-8645000102C1865DSearch in Google Scholar

10. Herron S L.: A total organic carbon log for source rock evaluation[J].The Log Analyst,1987,28(6):520-527. Search in Google Scholar

11. Passey Q R,Creaney S,Kulla J B,et al.: A pr-actical model for organic richness from poro-sity and resistivitylogs[J]. AAPG Bulletin,1990,74(12):1777-1794.Search in Google Scholar

12. Mohammad Reza Kamalia,Ahad Allah Mirsha-dy.: Total or-ganic carbon content determine-d from well logs using ΔlogR and Neuro Fu-zzy techniques[J].Journal of Petroleum Scienc-e and Engineering,2004,45:141-148.10.1016/j.petrol.2004.08.005Search in Google Scholar

13. Lim J S.: Reservoir properties determination using fuzzy logic and neural networks[J]. Jou-rnal of Petroleum Science and Engineering,2005,49:182-192.10.1016/j.petrol.2005.05.005Search in Google Scholar

14. FERTL W H, RIEKE H H.: Gammaray spec-tral evaluation techniques identify fractured s-hale reservoirs and source rock characteristi-cs[J]. Journal of Petroleum Technology,1980,31(11):2053-2062.Search in Google Scholar

15. Gong Zai sheng, Li Si tian.: Dynamic Resear-ch of Oil and Gas Accumulation in Norther-n Marginal Basins of South Chin a Sea[M].Beijing: Scien ce Press, 2004: 9-25.Search in Google Scholar

16. Zeng Hongliu,Charise K.: Amplitude versus fr-equence-application to seismic stratigraghy a-nd reservoir characterization[A].Society of E-xploration Geophysicists,International Expositi-on and Seventieth Annual Meeting [C].Calga-ry,2000(8),6-11.Search in Google Scholar

17. Simon Haykin.: Neural networks:a comprehen-sive Foundation.Second edition,1999.Search in Google Scholar

18. Zeng Hongliu,Charise Kerans.: Amplitude vers-us frequency-applications to seismic stratigra-phy and reservoir characterization.SEG,2000.10.1190/1.1816169Search in Google Scholar

19. Robinson E A.: Predictive decomposition of t-ime series with application to seismic explor-ation.Geophysics, 1954,32:418-484.10.1190/1.1439873Search in Google Scholar

20. Robinson E A.: Predictive decomposition of s-eismic traces. Geophysics, 1957,22:767-778.10.1190/1.1438415Search in Google Scholar

21. Robinson E A, Treitel S.: Geophysical SignalAnalysis. Prentice-Hall, Inc, 1980.Search in Google Scholar

22. Saggaf MM, Robinson E A.: A unified frame-work for the deconvolution of traces of non-white reflectivity.Geophysics, 2000,65:1660-1676.10.1190/1.1444854Search in Google Scholar

23. Fu L Y. Joint lithologic inversion. In: WongP, Aminzadeh F,Nikravesh M eds.: Soft Com-puting for Reservoir Characterization and Mo-deling. Springer-Verlag Publishers, 2002. 511-530.Search in Google Scholar

24. Fu L Y.: Joint inversions of seismic data foracoustic impedance.Geophysics, 2004,69: 994-1004.10.1190/1.1778242Search in Google Scholar

25. Russell B H.: The application of multivariatestatistics and neural networks to the predicti-on of reservoir parameters using seismic attri-butes[D].Calgary:Department of Geology andGeophysics,Canada,2004.Search in Google Scholar

26. Chopra S,Blias E,Manerikar A,et al.: Simultan-eous acquisition of 3D VSP data-processing and intergration[J]. SEG Technical Program E-xpanded Abstracts,Society of Exploration Ge-ophysicists,2002,21:2337-2340.10.1190/1.1817183Search in Google Scholar