A Novel Approach of Frequency-Dependent Seismic Elastic Parameters Inversion for Fluid Prediction at Thin Sandstone Reservoirs

One of the leading challenges in hydrocarbon recovery is predicting fluid distribution throughout the reservoir, using dispersion of seismic elastic parameters to solve this problem is a method with great potential. Previous studies reveal that predicting frequency-dependent seismic elastic paramete...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters Jg. 22; S. 1 - 5
Hauptverfasser:	Miao, Fawei, He, Yan-Xiao, Ni, Jingyang, Yuan, Sanyi, Wang, Shangxu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Bayes methods Bayesian analysis Bayesian inversion Dispersion Elastic recovery fluid detection Fluids Frequencies Frequency dependence frequency-dependent seismic elastic parameters Hydrocarbons Mathematical models P waves Parameter sensitivity Parameters Predictions Predictive models Probability theory Reflection Reservoirs Sandstone Sedimentary rocks Seismic activity Seismic surveys Seismic velocities Seismic wave velocities Seismic waves Time-domain analysis Time-frequency analysis Transforms Velocity velocity dispersion Wave amplitude Wave dispersion Wave reflection Wave velocity
ISSN:	1545-598X, 1558-0571
Online-Zugang:	Volltext
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