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Geofluid Discrimination: Poroelasticity and Seismic Reflection Inversion

Recently,new findings on Geofluid Discrimination research have been made. The paper Geofluid Discrimination Incorporating Poroelasticity and Seismic Reflection Inversion has been covered by Surveys in Geophysics. The first author is Zong Zhaoyun, the lecturer of School of Geoscience. 

Geofluid discrimination plays an important role in the fields of hydrogeology, geothermics, and exploration geophysics. A geofluid discrimination approach incorporating linearized poroelasticity theory and pre-stack seismic reflection inversion with Bayesian inference is proposed in this study to identify the types of geofluid underground.......A novel linearized P-wave reflectivity equation coupling the fluid modulus is derived to avoid the complicated nonlinear relationship between the fluid modulus and seismic data. Convoluting this linearized P-wave reflectivity equation with seismic wavelets as the forward solver, a pragmatic pre-stack Bayesian seismic inversion method is presented to estimate the fluid modulus directly. The preconditioned conjugate gradient method is coupled in the optimization of the objective function to weaken the strong degree of correlation among the four model parameters and enhance the stability of those parameter estimations simultaneously. The synthetic examples demonstrate the feasibility and stability of the proposed novel seismic coefficient equation and inversion approach. The real data set illustrates the efficiency and success of the proposed approach in differentiating the geofluid filled reservoirs. (from the abstract of the paper)

Surveys in Geophysics was issued in 1973, mainly publishes articles on physical, chemical and biological processes occurring within the Earth, on its surface, in its atmosphere and in the near-Earth space environment, including relations with other bodies in the solar system. Its papers have high impact and recognization in the field of geoscience.

 

 

 

 

Photo: Jin Doudou

Editor: Bu Lingduo

Source: UPC News Center

     

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