Depositional impact on the elastic characteristics of the organic shale reservoir and its seismic application: A case study of the Longmaxi-Wufeng Shale in the Fuling gas field, Sichuan Basin

Geophysics ◽  
2020 ◽  
Vol 85 (2) ◽  
pp. B23-B33 ◽  
Author(s):  
Luanxiao Zhao ◽  
Yang Wang ◽  
Xiwu Liu ◽  
Jinqiang Zhang ◽  
Yuwei Liu ◽  
...  

Seismic characterization of the depositional evolution history of the organic shale reservoir is essential for reservoir quality evaluation and geologic model building in unconventional plays. However, a direct link between the depositional environment and seismic elastic responses in organic-rich shales remains unclear. By combining the depositional history and rock-physics analysis, we have determined how the depositional environment affects the elastic characteristics of the Longmaxi-Wufeng Shale in the Fuling gas field, Sichuan Basin, Southwestern China. Sedimentological control on the elastic properties mainly lies in two aspects: First, the distinct elastic features of the overlying turbidity mudstone and the underlying deepwater shelf Longmaxi Formation are primarily caused by the rock structure difference due to water energy; second, within the deepwater shelf siliceous shale formation, the elastic property variations are primarily controlled by the progradation tract system and water depths. We evaluate the effect of two types of quartz (biogenic quartz and detrital quartz) in conjunction with organic matter on the elasticity of organic shale. Furthermore, we determine that the two most commonly used seismic inversion attributes, P-impedances and the [Formula: see text] ratio, can be used to indicate the depositional facies evolution. This also gives insights into using geophysical attributes to directly characterize depositional facies for unconventional shale reservoirs.

AAPG Bulletin ◽  
2018 ◽  
Vol 102 (11) ◽  
pp. 2333-2354 ◽  
Author(s):  
Guochang Wang ◽  
Shengxiang Long ◽  
Yiwen Ju ◽  
Cheng Huang ◽  
Yongmin Peng

2018 ◽  
Author(s):  
Michael Karmis ◽  
Nino Ripepi ◽  
Ellen Gilliland ◽  
Andrew Louk ◽  
Xu Tang ◽  
...  

2019 ◽  
Vol 38 (6) ◽  
pp. 474-479
Author(s):  
Mohamed G. El-Behiry ◽  
Said M. Dahroug ◽  
Mohamed Elattar

Seismic reservoir characterization becomes challenging when reservoir thickness goes beyond the limits of seismic resolution. Geostatistical inversion techniques are being considered to overcome the resolution limitations of conventional inversion methods and to provide an intuitive understanding of subsurface uncertainty. Geostatistical inversion was applied on a highly compartmentalized area of Sapphire gas field, offshore Nile Delta, Egypt, with the aim of understanding the distribution of thin sands and their impact on reservoir connectivity. The integration of high-resolution well data with seismic partial-angle-stack volumes into geostatistical inversion has resulted in multiple elastic property realizations at the desired resolution. The multitude of inverted elastic properties are analyzed to improve reservoir characterization and reflect the inversion nonuniqueness. These property realizations are then classified into facies probability cubes and ranked based on pay sand volumes to quantify the volumetric uncertainty in static reservoir modeling. Stochastic connectivity analysis was also applied on facies models to assess the possible connected volumes. Sand connectivity analysis showed that the connected pay sand volume derived from the posterior mean of property realizations, which is analogous to deterministic inversion, is much smaller than the volumes generated by any high-frequency realization. This observation supports the role of thin interbed reservoirs in facilitating connectivity between the main sand units.


Geophysics ◽  
2016 ◽  
Vol 81 (5) ◽  
pp. C177-C191 ◽  
Author(s):  
Yunyue Li ◽  
Biondo Biondi ◽  
Robert Clapp ◽  
Dave Nichols

Seismic anisotropy plays an important role in structural imaging and lithologic interpretation. However, anisotropic model building is a challenging underdetermined inverse problem. It is well-understood that single component pressure wave seismic data recorded on the upper surface are insufficient to resolve a unique solution for velocity and anisotropy parameters. To overcome the limitations of seismic data, we have developed an integrated model building scheme based on Bayesian inference to consider seismic data, geologic information, and rock-physics knowledge simultaneously. We have performed the prestack seismic inversion using wave-equation migration velocity analysis (WEMVA) for vertical transverse isotropic (VTI) models. This image-space method enabled automatic geologic interpretation. We have integrated the geologic information as spatial model correlations, applied on each parameter individually. We integrate the rock-physics information as lithologic model correlations, bringing additional information, so that the parameters weakly constrained by seismic are updated as well as the strongly constrained parameters. The constraints provided by the additional information help the inversion converge faster, mitigate the ambiguities among the parameters, and yield VTI models that were consistent with the underlying geologic and lithologic assumptions. We have developed the theoretical framework for the proposed integrated WEMVA for VTI models and determined the added information contained in the regularization terms, especially the rock-physics constraints.


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