Delineating Fracture Patterns from Seismic and Well Derived Multi-Attributes Data
- Rotimi Oluwatosin John (Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China; Covenant University, Ota, Nigeria) | Yao Liang (Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China) | Zhenli Wang (Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China)
- Document ID
- Society of Petroleum Engineers
- SPE Nigeria Annual International Conference and Exhibition, 5-7 August, Lagos, Nigeria
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Petroleum Engineers
- 2 in the last 30 days
- 41 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 9.50|
|SPE Non-Member Price:||USD 28.00|
Structural complexities are concerns frequently encountered as peculiar features in most hydrocarbon provinces which various attempts has been made to resolve using conventional spatial images of the subsurface as continuous seismic reflections. These structural patterns are either tectonic or sedimentonic in origin and confers anisotropy and heterogeneity in subsurface formations thereby increasing the uncertainty associated with exploring hydrocarbon locked in their pores. Diffraction imaging has been used in various instances to delineate subtle discontinuities that synthesize diffraction waves in hydrocarbon formations, in tandem with reflection seismic and other invasive geophysical logs and core, in comparatively understanding fracture orientations and establishing relationships with the temporal data that are often regarded as most reliable. These data points have been used to infer structural relationship between the naturally fractured clastic formations in an oil and gas field with success. Rock elastic properties and signal anisotropy derived from core and logs resulted in structural attributes that correlated well with seismic diffraction volume inferred properties, giving credence to the relationships established and usefulness of the diffraction volume for characterizing and emphasizing small scale features hitherto classed as sub-seismic.
|File Size||1 MB||Number of Pages||9|
Dmitrii Merzlikin, Sergey Fomel, Xinming Wu, Mason Phillips, (2017). Unconventional Reservoir Characterization Using Azimuthal Seismic Diffraction Imaging. Unconventional Resources Technology Conference (URTeC). DOI 10.15530/urtec-2017-2695232
Yang Hui, Wen Baihong, Zhang Yan, Zhang Guangya, Liu Zhizhou, Wu Fengcheng, Wei Yanzhao, Dai, Xiaofeng, Hu Qinghui, (2009). Distribution of hydrocarbon traps in volcanic rocks and optimization for selecting exploration prospects and targets in Junggar Basin: Case study in Ludong-Wucaiwan area, NW China. Petrol. Explor. Develop. 36(4): 419-427.
Yao Liang, Zhenli Wang, Oluwatosin John Rotimi, Xueliang Li, Guiting Chen, Hu Shi. (2018). Fracture characterization using diffraction attributes in tight sandstone reservoirs: A case study from Keshen Gas Field, Tarim Basin. 88th SEG International Exposition and Annual Conference and Exhibition, Anaheim, CA, 14-19, Oct, 2018.
Lu, X., Shi, J., Zhang, S., Zou, N., Sun, G., Zhang, S., The origin and formation model of Permian dolostones on the northwestern margin of Junggar Basin, China (2015). Journal of Asian Earth Sciences, doi: http://dx.doi.org/10.1016/j.jseaes.2015.02.024
Di Li, Dengfa He, M. Santosh, Delong Ma, Jieyun Tang, (2015). Tectonic framework of the northern Junggar Basin part I: The eastern Luliang Uplift and its link with the East Junggar terrane. Gondwana Research 27 (2015) 1089-1109, doi: http://dx.doi.org/10.1016/j.gr.2014.08.015