Fanchang Zhang
China University of Petroleum
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Featured researches published by Fanchang Zhang.
Seg Technical Program Expanded Abstracts | 2009
Shixin Zhang; Xingyao Yin; Fanchang Zhang
Summary We propose a method, named Fluid elastic impedance (FEI) which is derived by the extending the concept of Elastic Impedance (Connolly, 1999) to make the fluid discrimination more stable and reliable. The fluid component of the in-situ reservoir rock here is proposed based on the poroelasticity theory of Boit and Gassmann, and rock physics analysis and forward modeling result based on the well-logging measurement indicate that the fluid component ( f ) is an effective tool for fluid discrimination. Our study shows that the FEI inversion can extract the fluid component more valuable and easier to carry out research on the fluid discrimination. A real data example illustrates the applicability of the proposed method.
Seg Technical Program Expanded Abstracts | 2009
Danping Cao; Xingyao Yin; Fanchang Zhang
Inversion of 3D seismic data is a strongly ill-posed problem. The inversion resolution is limited by the bandwidth of the seismic data used. A good choice to get accurate result is the joint inversion with all the available information. Based on the Bayesian theorem, the VSP and crosswell seismic data is injected into the inversion process according to the joint probability distribution. The joint inversion theory is built and the inversion stage is complete. Model test shows that the joint inversion method possessed the different frequency bandwidth information of VSP and crosswell data, the inversion result is more accurate and the resolution is higher. The joint inversion method of 3D seismic data, VSP and crosswell seismic data is feasible with different field data. The impedance inversion result is more reasonable and can match better with the logging data.
Seg Technical Program Expanded Abstracts | 2010
Shixin Zhang; Xingyao Yin; Fanchang Zhang
Summary The quasi fluid modulus is a data adaptive attribute based on a weighted combination of fluid/porosity term ( f ) and shear modulus (μ ). The result of analysis from the a well dataset from the JZ field shows that, for sandstones and clay-rich sandstones, the quasi fluid modulus is a significant attribute to discriminate between shale, dry sand, gas sand, oil sand and wet sand. Estimation of this attribute can be done by simple algebraic computation based on rock physics analysis between the fluid/porosity modulus and shear modulus. A real data example illustrates the applicability of the new attribute and shows the advantage of seperating different lithology and fluid types through the comparison with other DHI.
Beijing 2009 International Geophysical Conference and Exposition | 2009
Danping Cao; Xingyao Yin; Fanchang Zhang
Summary Impedance inversion of surface seismic data is an inherently non-unique problem. The conventional seismic inversion resolution is limited to characterize the subsurface reservoirs because of the narrow frequency bandwidth. The high frequency components of crosswell seismic data are rich enough to connect the surface seismic data and the logging curve. Based on the sparse spike inversion assumption, the crosswell seismic data is introduced into the surface seismic impedance inversion flow. The objective function of impedance inversion method is built constrained with the crosswell seismic data and well logging data. The field data inversion result shows that the crosswell seismic data constrained inversion method can improve the resolution of the conventional well-logging constrained inversion method. It is a new way to solve the geology problems with kinds of geophysical data.
Journal of Applied Geophysics | 2014
Fanchang Zhang; Ronghuo Dai; Hanqing Liu
Geophysics | 2016
Ronghuo Dai; Fanchang Zhang; Hanqing Liu
Archive | 2010
Xingyao Yin; Fanchang Zhang; Shixin Zhang
Archive | 2012
Fanchang Zhang; Chuanhui Li; Xingyao Yin
Seg Technical Program Expanded Abstracts | 2015
Dong Li; Fanchang Zhang
Journal of Petroleum Science and Engineering | 2015
Fanchang Zhang; Ronghuo Dai; Hanqing Liu