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Results
Frequency-dependent AVO analysis in the nonelastic stratified media
Huang, Guangtan (China University of Petroleum–Beijing) | Li, Jingye (China University of Petroleum–Beijing) | Luo, Cong (China University of Petroleum–Beijing) | Chen, Xiaohong (China University of Petroleum–Beijing)
ABSTRACT Owing to the different attenuation mechanism of the mudstone and sandstone, different rock physical models should be chosen according to the actual situation in the establishment of thin interbed model. In this abstract, we used Carcione viscoelastic VTI model to simulate shale, patch saturation model and Chapman multi-scale fracture model to simulate gas-bearing sandstone with and without fractures respectively. Then, abandoned the conventional AVO forward modeling method based on Zoeppritz equation, we introduced generalized propagation matrix method to the frequency-dependent AVO (FAVO) analysis in the stratified media. This method effectively overcome the assumption of Zoeppritz equation, i.e., infinite half space elastic media. Results of numerical simulation indicate that layer thickness and fluid saturation are the key factors to the FAVO effect. Meanwhile, for the anisotropic sandstone, fractures are also the important factors to reflections in the presence of dispersion and attenuation, but the effects of fractures are mainly reflected in the large angle. The variations of fracture density, aspect ratio and scale will cause the change of the FAVO response. Presentation Date: Tuesday, September 26, 2017 Start Time: 4:45 PM Location: 370D Presentation Type: ORAL
High-fidelity full-waveform inversion with an initial velocity model from multiple wells interpolation
Chen, Yangkang (University of Texas–Austin) | Xiang, Kui (China University of Petroleum–Beijing) | Chen, Hanming (China University of Petroleum–Beijing) | Chen, Xiaohong (China University of Petroleum–Beijing)
ABSTRACT Full waveform inversion (FWI) is a promising technique for inverting a high-resolution subsurface velocity model. The success of FWI highly depends on a fairly well initial velocity model. We propose a method for building a remarkable initial velocity model that can be put into the FWI framework for inverting nearly perfect velocity structure. We use a well log interpolated velocity model as a high-fidelity initial model for the subsequent FWI. The interpolation problem is solved via a least-squares method with a structural regularization. In order to obtain the geological structure of subsurface reflectors, an initial reverse time migration (RTM) with a fairly realistic initial velocity model is used to roughly calculate the local slope of subsurface structure. The well log interpolated initial velocity model can be very close to the true velocity while having small velocity anomaly or over-smoothing caused by the imperfect velocity interpolation, which however can be compensated during the subsequent FWI iterations. Regarding the field deployment, we suggest that future drilling should be seismic-oriented, which can help fully utilize the well logs for building initial subsurface velocity model and will facilitate a wide application of the proposed methodology. Presentation Date: Wednesday, October 19, 2016 Start Time: 4:25:00 PM Location: 162/164 Presentation Type: ORAL
A new hydrocarbon indicator derived from FAVO inversion
Chen, Rukang (China University of Petroleum–Beijing) | Chen, Xiaohong (China University of Petroleum–Beijing) | Li, Jingye (China University of Petroleum–Beijing) | Wang, Zhikai (China University of Petroleum–Beijing) | Wang, Benfeng (Tsinghua University)
ABSTRACT The direct hydrocarbon detection with seismic data is a difficult and longstanding problem. Numerous fluid indicators derived from linearized Zoeppritz equation have been published, which provide a good tool to identify hydrocarbon zones. But the question of which is these indicators take less advantages of frequency-dependent properties. In essence, rocks saturated with gas show high attenuation and wave dispersion, so the hydrocarbon indicators based on the frequency of the reflections can be used to improve estimation accuracy of hydrocarbon zones. In this abstract, we propose a new frequency-dependent indicator, which is derived from linearized FAVO inversion and traditional AVO methods. We apply this scheme to a real seismic data, and the results demonstrate that this new indicator can more accurately discriminate the gas/oil sand from the background and is also less sensitive to random noise and the accuracy of spectrum decomposition. Presentation Date: Monday, October 17, 2016 Start Time: 3:20:00 PM Location: 174 Presentation Type: ORAL
- Research Report > New Finding (0.68)
- Research Report > Experimental Study (0.49)