Identification and Complex Non-structural Hydrocarbon Traps Using AVO-Analysis in the Hapchagai Megaval

Author:

Olga Feoktistova

Publisher

Springer Nature Singapore

Reference5 articles.

1. Feoktistova, O.V.: Determination of the potential of gasness in complex geological environments by seismic methods based on Bayes probability neural networks. Adv. Curr. Nat. Sci. 2, 79–85 (2019)

2. Feoktistova, O.V.: Identification of the gas potential of the T1-III formation in the interval of the Tagandzha formation of the Lower Triassic of the Vilyui syneclise (Eastern Siberia) using the integration of AVO-analysis technology and Bayesian classification. Geol. Geogr. Global Energy 3(86), 19–27 (2022)

3. Simm, R., Bacon, M.: An Interpreter’s Handbook. Published in the United States of America by Cambridge University Press, New York (2014)

4. Chopra, S., Castagna, J.P.: AVO. Published in the United States of America by SEG (2014)

5. Feoktistova, O.V.: Identification of the gas-bearing potential of the T1-X reservoir in the interval of the Tagandzha suite of the lower Triassic of the Vilyui syneclise (Eastern Siberia) using the Bayesian classification method based on AVO-analysis. Geol. Geogr. Global Energy 3(86), 50–57 (2022)

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