Reservoir Geological Model of Reef-Bank Carbonate Rocks of Ordavician in Tazhong Area, Tarim Basin, NW China

Article Preview

Abstract:

The reservoir of Lianglitage formaton mainly distribute in the Liang 1~Liang 2 section, and slight amount distribute in Liang 3 section. The microfacies are abundant and, and they apparently affect the development of the reservoir. Based on the geologic feature, we propound the concept:"microfacies combination". It is composed by two or several microfacies, and each microfacies have similar reservoir conditions. Using the seismic facies interpretation, combining the methods of deterministic modeling and stochastic modeling, the "microfacies combination" model is established. Appling the method that "microfacies combination" controls the modeling course, taking the wave impedance which has good corresponding relationship with reservoir as secondary variable, small layer application of stochastic modeling method based on the porosity model is finally established through the stochastic modeling method layer and layer. Considering the crack influence on permeability, the first step is establishing the fracture distribution model, then the permeability model is established taking the fracture distribution as secondary variable, which improves the practicability of permeability model.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

2949-2951

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Qu Haizhou, Wang Zhenyu, Zhang Yunfeng, et al. Genesis of High⁃Quality Reservoir in Ultra Deep and Reef-Bank Carbonate Rocks of Ordovician in Tazhong Area, Tarim Basin[J]. XinJiang Petroleum Geology, 2013, 34(2): 169-173.

DOI: 10.4028/www.scientific.net/amr.765-767.2949

Google Scholar

[2] Zhang Feng, LI Zhiping, Wang Helin, et al. Sands modeling constrained by high-resolution seismic data[J]. Journal of Zhejiang University SCIENCE A, 2007 8(11): 1858-1863.

DOI: 10.1631/jzus.2007.a1858

Google Scholar

[3] Stright,L. Modeling, Upscaling, and History Matching Thin, Irregularly-Shaped Flow Barriers: A Comprehen-sive Approach for Predicting Reservoir Connectivity. SPE Annual Technical Conference and Exhibition, ATCE 2006: Focus on the Future, SPE 68512, pp.5075-5082.

DOI: 10.2118/106528-stu

Google Scholar

[4] Jia Ailin. Research achievements on reservoir geological modeling of China in the past two decades[J]. Acta Petrolei Sinica, 2011, 32(1): 181-188.

Google Scholar

[5] Varela O.J., Torres-Verdín,C., Lake L.W., 2006. On the value of 3D seismic amplitude data to reduce uncertainty in the forecast of reservoir production. Journal of Petroleum Science and Engineering, 50(3-4): 269-284.

DOI: 10.1016/j.petrol.2005.11.004

Google Scholar