Fracture is a kind of important reservoir in petroleum exploration, which usually exist in the carbonate rock or igneous rock. However, it is always difficult to predict the fracture with the seismic data. In this paper, based on curvature attributes, we develop a workflow for the prediction of fractured zone, fracture orientation, and open fractures. We begin with curvature calculation to predict fractured reservoirs and then calculate rose diagrams using curvature data. Fracture orientation is established by comparing the rose diagrams from imaging logs and the analogues from curvature data. We identify two principal orientations and calculate the azimuth intensity in these two directions using the curvature data. As per the crossplots of azimuth intensity in two directions and productivity, the azimuth with good correlation is the open azimuth of fractures. We apply this method to a Kazakhstan oilfield K and predict fractured-vuggy reservoirs in the eastern field and fractured reservoirs in the western field. In accordance with the prediction, there are two groups of fractures, one in a northeast direction and the other in a northwest direction. NE fractures are open in the northern field, and NW fractures are open in the southern field. We suggest two sites for well drilling, which obtain economic oil flow.
| Published in | American Journal of Physics and Applications (Volume 9, Issue 5) |
| DOI | 10.11648/j.ajpa.20210905.15 |
| Page(s) | 127-132 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Fractured Reservoir, Anisotropy, Curvature, Azimuth Intensity, Rose Diagram
| [1] | Hart, B. S., R. A. Pearson, and G. C. Rawling. 3D seismic horizon-based approaches to fractures warm sweet spot definition in tight-gas reservoirs [J]. The Leading Edge, 2002, 21: 28–35. |
| [2] | Narhari, S. R., A. L. Al-Kandari, V. K. Kidambi, et al. Understanding fractures through seismic data: North Kuwait case study [C]. 2009, 79th Annual International Meeting, SEG, Expanded Abstracts: 547–550. |
| [3] | Guo, Y., K. Zhang, K. J. Marfurt. Seismic attribute illumination of Woodford Shale faults and fractures, Arkoma Basin [C]. 2010, 80th Annual International Meeting, SEG, Expanded Abstracts: 1372-1376. |
| [4] | Hennings, P. H., J. E. Olson, et al. Combining outcrop data and three-dimensional structural models to characterize fractured reservoirs: a example from Wyoming [J]. AAPG Bulletin, 2000, 84: 830-849. |
| [5] | Nissen, Carr, K. J. Marfurt, et, al. Using 3D seismic volumetric curvature attributes to identify fracture trends in a depleted Mississippian carbonate reservoir: Implications for assessing candidates for CO2 sequestration [J]. AAPG Studies in Geology, 2009, 59: 297–319. |
| [6] | Cui L J, He Y N, Wang J X et al. Application of seismic curvature based on horizon to carbonate fault prediction: An example of an area in Tabei, Tarim Basin [J]. Lithologic Reservoirs, 2012, 24 (1): 92-96. |
| [7] | Wang H J, Wang L L, Wan X M et al. Fracture Prediction of Low Permeability Reservoirs of the Mesozoic in North Yellow Sea Basin [J]. Xinjiang Petroleum Geology, 2014, 35 (3): 268-272. |
| [8] | Sheng X L. Minor Fault Identification Based on 3D Seismic Curvature [J]. Coal Geology of China, 2018, 30 (S1): (109-117). |
| [9] | Roberts, A. Curvature attributes and their application to interpreted horizons [J]. First Break, 2001, 19: 85-99. |
| [10] | Bergbauer, S. T. Mukerji, P. Hennings. Improving curvature analyses of deformed horizons using scale-dependent filtering techniques [J]. AAPG Bulletin, 2003, 87: 1255-1272. |
| [11] | Al-Dossary, K. J. Marfurt. 3-D volumetric multispectral estimates of reflector curvature and rotation [J]. Geophysics, 2006, 71: 41-51. |
| [12] | Zhang W, Yan J G, Zhou H S. The application of seismic rose in the analysis of fracture [J]. Periodical agency of Yangze university, 2012, 9 (12): 61-63. |
| [13] | Guo Y X, Zhang K, Kurt J. Marfurt. Quantitative correlation of fluid flow to curvature lineaments [C], SEG Las Vegas Annual meeting, 2012, Abstracts: 501-506. |
| [14] | Zhang W. Seismic Rose Diagrams Analysis for Fracture Prediction and Tectonic Stress [D]. Chengdu: Chengdu University of Technology, 2013. |
| [15] | Kong X Y, Yin J Y, Zhang F Q. Oil gas geological features and its exploration potential in South Turgay Basin, Kazakhstan [J]. Lithologic Reservoirs, 2007, 9 (3): 48-54. |
APA Style
Chang Deshuang, Chen Zhigang, Xu Jianguo, Han Yuchun, Sun Xing, et al. (2021). Workflow of Fracture Prediction Using Curvature-Related Attributes and a Case Study. American Journal of Physics and Applications, 9(5), 127-132. https://doi.org/10.11648/j.ajpa.20210905.15
ACS Style
Chang Deshuang; Chen Zhigang; Xu Jianguo; Han Yuchun; Sun Xing, et al. Workflow of Fracture Prediction Using Curvature-Related Attributes and a Case Study. Am. J. Phys. Appl. 2021, 9(5), 127-132. doi: 10.11648/j.ajpa.20210905.15
AMA Style
Chang Deshuang, Chen Zhigang, Xu Jianguo, Han Yuchun, Sun Xing, et al. Workflow of Fracture Prediction Using Curvature-Related Attributes and a Case Study. Am J Phys Appl. 2021;9(5):127-132. doi: 10.11648/j.ajpa.20210905.15
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Download@article{10.11648/j.ajpa.20210905.15,
author = {Chang Deshuang and Chen Zhigang and Xu Jianguo and Han Yuchun and Sun Xing and Guo Jianming},
title = {Workflow of Fracture Prediction Using Curvature-Related Attributes and a Case Study},
journal = {American Journal of Physics and Applications},
volume = {9},
number = {5},
pages = {127-132},
doi = {10.11648/j.ajpa.20210905.15},
url = {https://doi.org/10.11648/j.ajpa.20210905.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpa.20210905.15},
abstract = {Fracture is a kind of important reservoir in petroleum exploration, which usually exist in the carbonate rock or igneous rock. However, it is always difficult to predict the fracture with the seismic data. In this paper, based on curvature attributes, we develop a workflow for the prediction of fractured zone, fracture orientation, and open fractures. We begin with curvature calculation to predict fractured reservoirs and then calculate rose diagrams using curvature data. Fracture orientation is established by comparing the rose diagrams from imaging logs and the analogues from curvature data. We identify two principal orientations and calculate the azimuth intensity in these two directions using the curvature data. As per the crossplots of azimuth intensity in two directions and productivity, the azimuth with good correlation is the open azimuth of fractures. We apply this method to a Kazakhstan oilfield K and predict fractured-vuggy reservoirs in the eastern field and fractured reservoirs in the western field. In accordance with the prediction, there are two groups of fractures, one in a northeast direction and the other in a northwest direction. NE fractures are open in the northern field, and NW fractures are open in the southern field. We suggest two sites for well drilling, which obtain economic oil flow.},
year = {2021}
}
TY - JOUR T1 - Workflow of Fracture Prediction Using Curvature-Related Attributes and a Case Study AU - Chang Deshuang AU - Chen Zhigang AU - Xu Jianguo AU - Han Yuchun AU - Sun Xing AU - Guo Jianming Y1 - 2021/10/28 PY - 2021 N1 - https://doi.org/10.11648/j.ajpa.20210905.15 DO - 10.11648/j.ajpa.20210905.15 T2 - American Journal of Physics and Applications JF - American Journal of Physics and Applications JO - American Journal of Physics and Applications SP - 127 EP - 132 PB - Science Publishing Group SN - 2330-4308 UR - https://doi.org/10.11648/j.ajpa.20210905.15 AB - Fracture is a kind of important reservoir in petroleum exploration, which usually exist in the carbonate rock or igneous rock. However, it is always difficult to predict the fracture with the seismic data. In this paper, based on curvature attributes, we develop a workflow for the prediction of fractured zone, fracture orientation, and open fractures. We begin with curvature calculation to predict fractured reservoirs and then calculate rose diagrams using curvature data. Fracture orientation is established by comparing the rose diagrams from imaging logs and the analogues from curvature data. We identify two principal orientations and calculate the azimuth intensity in these two directions using the curvature data. As per the crossplots of azimuth intensity in two directions and productivity, the azimuth with good correlation is the open azimuth of fractures. We apply this method to a Kazakhstan oilfield K and predict fractured-vuggy reservoirs in the eastern field and fractured reservoirs in the western field. In accordance with the prediction, there are two groups of fractures, one in a northeast direction and the other in a northwest direction. NE fractures are open in the northern field, and NW fractures are open in the southern field. We suggest two sites for well drilling, which obtain economic oil flow. VL - 9 IS - 5 ER -
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