Bayesian prediction of potential depressions in the Erlian Basin based on integrated geophysical parameters

In this study, we analyzed the geological, gravity, magnetic, and electrical characteristics of depressions in the Erlian Basin. Based on the results of these analyses, we could identify four combined feature parameters showing strong correlations and sensibilities to the reservoir oil-bearing condi...

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Veröffentlicht in:	Applied geophysics 2020-09, Vol.17 (3), p.338-348
Hauptverfasser:	Xu, Feng-Jiao, Tang, Chuan-Zhang, Yan, Liang-Jun, Chen, Qing-Li, Feng, Guang-Ye
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Case Histories Conditional probability Drilling Earth and Environmental Science Earth Sciences Elevation Exploratory drilling Feasibility studies Gaussian distribution Geologic depressions Geological data Geology Geophysics Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Gravity Gravity anomalies Hydrocarbons Magnetic anomalies Mathematical analysis Normal distribution Oil Oil and gas exploration Oil exploration Parameter identification Parameters Predictions Probability theory Statistical analysis
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