Application of prestack elastic wave impedance inversion technique in volcanic reservoir prediction

2018 ◽  
Author(s):  
Wu Jia-yi ◽  
Xing Bao-rong ◽  
Wang Zhi-qiang ◽  
Wang Cheng ◽  
Bao Yi
2013 ◽  
Vol 443 ◽  
pp. 675-680
Author(s):  
Xin Rong Zhang ◽  
Shi Fang ◽  
Jin Ping Liu ◽  
Mao Xin Yang

The later-period structure of Fuyang oil layer is complex and its reservoir is mostly composed by the sand bodies of riverways. The oil and gas reservoir features obvious concealment, and also is difficult to identify. To accurately describe the reservoir, a pre-stack elastic wave impedance inversion was made for Fuyang oil layer in Songliao Basin using FRSTM fracture. The pre-stack inversion results statistical error was small if the thickness of sandstone was greater than 3m. The error was close to 100% according to the standard less than 20%, namely the pre-stack inversion prediction accuracy was higher. However, the statistical error was greater and the pre-stack inversion prediction accuracy decreased if the thickness of sandstone was less than 3m, so the prediction result could be only used as a reference value. Therefore, the pre-stack elastic wave impedance inversion can produce a significant effect for the anisotropic reservoirs of complex later-period structure, thin sand body, and complex changes, and can meet the needs of the oil field exploration and development.


2015 ◽  
Vol 8 (1) ◽  
pp. 14-18 ◽  
Author(s):  
Lei Zhang ◽  
Donghui Zhu ◽  
Xuejuan Zhang

Heavy crude oil is known as oil that is highly viscous and of a higher density than that of conventional oil. Sand reservoirs containing heavy oil generally consist of unconsolidated sediments deposited at a shallow burial depth, with high porosity and permeability. In seismic exploration, acoustic impedance inversion is a commonly used tool in reservoir prediction. However, due to the unconsolidated characteristic of heavy oil reservoirs, the wave impedance difference between heavy oil sandstones and mudstones becomes less apparent, thus limiting the ability of impedance inversion to accurately characterize the reservoir. Therefore we must expand our characterization of the target heavy oil reservoirs to include correlation analysis of different seismic attributes to the unconsolidated reservoir thickness. The results show that there has a strong correlation between the seismic attribute value of instantaneous frequency and unconsolidated reservoir thickness, more than other seismic attributes in the target strata. Thus the instantaneous frequency attribute can be used to predict qualitatively the lateral distribution of unconsolidated reservoirs, which in turn, indicates the vertical variation of thickness for the unconsolidated reservoirs. By using frequency attributes which are sensitive to unconsolidated sediments, coupling with additional geologic information, we can predict the distribution of sedimentary facies accurately in the study area, which results in a more reliable prediction for the lateral and vertical distributions of heavy oil reservoirs.


2007 ◽  
Vol 4 (3) ◽  
pp. 201-206 ◽  
Author(s):  
Yang Jinhua ◽  
Li Guofa ◽  
Liu Yang ◽  
Jiang Weidong

2009 ◽  
Vol 1 (1) ◽  
pp. 929-935 ◽  
Author(s):  
Nie Ru ◽  
Yue Jian-hua ◽  
Deng Shuai-qi ◽  
Liu Yang-guang

2020 ◽  
Vol 8 (2) ◽  
pp. T453-T463
Author(s):  
Shang Xu ◽  
Fang Hao ◽  
Yuanyin Zhang ◽  
Qiyang Gou

For the lower Silurian Longmaxi marine shale reservoir in the Jiaoshiba area, Sichuan Basin, China, the traditional P-impedance ([Formula: see text]) is insensitive for predicting good reservoirs. As an integral indicator of borehole radioactivity that is substantially corresponding to the organic richness, the uranium curve is qualified to identify the abundance of organic matter. Therefore, to efficiently comprehend the shale distribution in the Jiaoshiba area, we have adopted a so-called pseudo-P-impedance ([Formula: see text]), which is constructed from the P-impedance and the uranium (U) log and spatially computed from impedance inversion of the zero-offset seismic. The [Formula: see text] log shows an obvious correlation with the organic richness of the shale. The thickness of the high-quality shale derived from the inverted [Formula: see text] cube shows a higher correlation with the log data compared to the traditional P-impedance cube. The distribution of predicted high-quality shale is strongly influenced by the fault systems: (1) Although the fault development zone might lead to a distorted image of the seismic and weak shale evaluation, the shale gas cannot be efficiently preserved in these places, and (2) high-quality shale reservoirs are mainly distributed in the not-faulted area and show a general northeast–southwest trend. Generally, the introduced [Formula: see text] inversion is suitable for the seismic frequency range and could be applied to other similar exploration areas.


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