Comparison of the Reservoir Stochastic Modeling Methods for the
Underwater Distributary Channels in Shallow Water Delta

doi:10. 3863/j. issn. 1674 – 5086. 2013. 03. 006

Abstract

Abstract:

The underwater distributary channels in shallow water delta are simulated by using the sequential indicator simulation
method and multiple-point geostatistics simulation method in Chang 8 Formation of an oilfield in West China，respectively.
The simulation results show that the multiple-point geostatistics simulation method reproduces the channel geometries and
continuities，but the sequential indicator simulation method realization is of much more“noise”and discontinuities. Eleven
realizations are constructed and the reservoir volumes are calculated using both methods with the average volumes close to each
other，but the delta and deviation of the volumes of single normal equation simulation method is much smaller，which reveals
that the uncertainty of multiple-point geostatistics simulation method is less than sequential indicator simulation method. So
the multiple-point geostatistics simulation method contributes better to oilfield development.

Key words: multi-point geostatistics, sequential indicator simulation method, comparative study, underwater distributary
channel, reservoir geological model

Yin Yanshu1, Wang Jin2, Wen Zhigang3, Pan Jingwen3. Comparison of the Reservoir Stochastic Modeling Methods for the
Underwater Distributary Channels in Shallow Water Delta[J]. 西南石油大学学报(自然科学版), DOI: 10. 3863/j. issn. 1674 – 5086. 2013. 03. 006.

0
/ / Recommend

Add to citation manager EndNote|Ris|BibTeX

URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10. 3863/j. issn. 1674 – 5086. 2013. 03. 006

http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2013/V35/I3/47

References

[1] Haldorsen H H，Lake L W. A new approach to shale management

in field-scale models[C]. SPE 10976–PA，1984.

[2] 白振强，王清华，杜庆龙，等. 曲流河砂体三维构型地

质建模及数值模拟研究[J]. 石油学报，2009，30（6）：

898–902.

Bai Zhenqiang，Wang Qinghua，Du Qinglong，et al. Study

on 3D architecture geology modeling and digital simulation

in meandering reservoir[J]. Acta Petrolei Sinica，

2009，30（6）：898–902.

[3] 周祺，郑荣才，王华，等. 长北气田辫状河三角洲单砂

体时空建模[J]. 大庆石油地质与开发，2008，27（5）：

10–13.

Zhou Qi，Zheng Rongcai，Wang Hua，et al. Time-space

simulation on braid river delta single sand-body of Changbei

Gasfield[J]. Petroleum Geology & Oilfield Development

in Daqing，2008，27（5）：10–13.

[4] 伍涛，杨勇，王德发. 辫状河储层建模方法研究[J]. 沉

积学报，1999，17（2）：258–262.

Wu Tao，Yang Yong，Wang Defa. Methods of reservoir

modeling on braided river sandstones[J]. Acta Sedimentologica

Sinica，1999，17（2）：258–262.

[5] 岳大力，陈德坡，徐樟有，等. 济阳坳陷孤东油田曲流

河河道储集层构型三维建模[J]. 古地理学报，2009，

11（2）：233–240.

Yue Dali，Chen Depo，Xu Zhangyou，et al. Channel reservoir

architecture 3D modeling of meandering fluvial reservoir

in Gudong Oilfield Jiyang Depression[J]. Journal of Palaeogeography，2009，11（2）：233–240.

[6] 袁新涛. 基于井距分布的多类资料整合砂体建模[J]. 中

国矿业大学学报，2007，36（5）：669–674.

Yuan Xintao. A method of sand body modeling integrating

various data based on different well spacing[J]. Journal of

China University of Mining & Technology，2007，36（5）：

669–674.

[7] 吴胜和，李文克. 多点地质统计学理论、应用与展

望[J]. 古地理学报，2005，7（1）：137–144.

Wu Shenghe，Li Wenke. Multiple-point geostatistics：theory，

application and perspective[J]. Journal of Palaeogeography，

2005，7（1）：137–144.

[8] 吴胜和，杨延强. 地下储层表征的不确定性及科学思

维方法[J]. 地球科学与环境学报，2012，34（2）：72–80.

Wu Shenghe，Yang Yanqiang. Uncertainty and scientific

methodology in subsurface reservoir characterization[J].

Journal of Earth Sciences and Environment，2012，34（2）：

72–80.

[9] 刘彦锋，尹志军，李进步，等. 多点地质统计学在苏

49–01 井区沉积微相建模中的应用[J]. 中国石油勘探，

2012，17（4）：41–46.

Liu Yanfeng，Yin Zhijun，Li Jinbu，et al. Application

of multiple-point geostatistics in sedimentary microfacies

modeling in SU49–01 Area of Sulige Gas Field[J]. China

Petroleum Exploration，2012，17（4）：41–46.

[10] Strebelle S B，Journel A G. Reservoir modeling using

multiple-point statistics[J]. SPE 71324–MS，2001.

[11] Zhang T，Switzer P，Journel A. Filter-based classification

of training image patterns for spatial simulation[J]. Mathematical

Geology，2006，38（1）：63–80.

[12] Gonz´lez E F，Mukerji T，Mavko G. Seismic inversion

combining rock physics and multiple-point geostatistics[

J]. Geophysics，2008，73（1）：R11–R21.

[13] Liu Y，Journel A. Improving sequential simulation with a

structured path guided by information content[J]. Mathematical

Geology，2004，36（8）：945–964.

[14] 尹艳树，吴胜和，张昌民，等. 基于储层骨架的多点

地质统计学方法[J]. 中国科学D 辑：地球科学，2008，

38（增刊II）：157–164.

Yin Yanshu，Wu Shenghe，Zhang Changmin，et al. A

method of multiple point geostatistics based on reservoir

framework[J]. Science in China（Series D：Earth Sciences），

2008，38（S2）：157–164.

[15] 李少华，张昌民，何幼斌，等. 河道砂体内部物性分布

趋势的模拟[J]. 石油天然气学报，2009，31（1）：23–25.

Li Shaohua，Zhang Changmin，He Youbin，et al. Simulation

on petrophysical property trends within channel

sandbodies[J]. Journal of Oil and Gas Technology，2009，

31（1）：23–25.

[16] 张挺，卢德唐，李道伦. 基于二维图像和多点统计方法

的多孔介质三维重构研究[J]. 中国科学技术大学学报，

2010，40（3）：271–277.

Zhang Ting，Lu Detang，Li Daolun. A method of reconstruction

of porous media using a two-dimensional image

and multiple-point statistics[J]. Journal of University

of Science and Technology of China，2010，40（3）：

271–277.

[17] 骆杨，赵彦超. 多点地质统计学在河流相储层建模中

的应用[J]. 地质科技情报，2008，27（3）：68–72.

Luo Yang，Zhao Yanchao. Application of multiple-point

geostatistics in fluvial reservoir stochastic modeling[J].

Geological Science and Technology Information，2008，

27（3）：68–72.

[18] 尹艳树，张昌民，李少华，等. 基于信息度的储层建模

后处理新方法[J]. 石油学报，2008，29（6）：889–893.

Yin Yanshu，Zhang Changmin，Li Shaohua，et al. A

post-processing method based on information degree for

stochastic modeling of reservoir[J]. Acta Petrolei Sinica，

2008，29（6）：889–893.