Full Text:   <3360>

CLC number: P3; TE1

On-line Access: 

Received: 2007-02-10

Revision Accepted: 2007-07-15

Crosschecked: 0000-00-00

Cited: 0

Clicked: 5571

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
1. Reference List
Open peer comments

Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.11 P.1858-1863


Sands modeling constrained by high-resolution seismic data

Author(s):  ZHANG Feng, LI Zhi-ping, WANG He-lin, WU Jian, TAN Zhen-hua

Affiliation(s):  School of Energy Resources, China University of Geology, Beijing 100083, China; more

Corresponding email(s):   zhfeng6969@163.com

Key Words:  Reservoir geological modeling, Seismic inversion, Sand control modeling

ZHANG Feng, LI Zhi-ping, WANG He-lin, WU Jian, TAN Zhen-hua. Sands modeling constrained by high-resolution seismic data[J]. Journal of Zhejiang University Science A, 2007, 8(11): 1858-1863.

@article{title="Sands modeling constrained by high-resolution seismic data",
author="ZHANG Feng, LI Zhi-ping, WANG He-lin, WU Jian, TAN Zhen-hua",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Sands modeling constrained by high-resolution seismic data
%A LI Zhi-ping
%A WANG He-lin
%A WU Jian
%A TAN Zhen-hua
%J Journal of Zhejiang University SCIENCE A
%V 8
%N 11
%P 1858-1863
%@ 1673-565X
%D 2007
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.A1858

T1 - Sands modeling constrained by high-resolution seismic data
A1 - ZHANG Feng
A1 - LI Zhi-ping
A1 - WANG He-lin
A1 - WU Jian
A1 - TAN Zhen-hua
J0 - Journal of Zhejiang University Science A
VL - 8
IS - 11
SP - 1858
EP - 1863
%@ 1673-565X
Y1 - 2007
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2007.A1858

In the phase of field evaluation, the changing of interwell reservoir may be out of control if the geological model was built only on well data due to few existing wells. The uncertainty of the interwell reservoir interpolation based only on well data can be decreased by comprehensive utilization of geological, logging and seismic data, especially by using highly relative seismic properties from 3D seismic data adjusted by well point data to restrict interpolation of geological properties. A 3D-geological model which takes the sand body as the direct modeling object was built through stacking the structure, reservoir and water/oil/gas properties together in 3D space.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


[1] Bracco Gartner, G.L., Massaferro, J., Nasser, M.R., Leguijt, J., van der Kolk, K., Hillgartner, H., Asyee, W., Eberli, G.P., Weger, R., Sun, Y., 2005. Obtaining Permeability from Seismic Data—A New Breakthrough in Carbonate Reservoir Modeling. 2005 International Petroleum Technology Conference Proceedings, p.937.

[2] Christensen, S.A., Dalgaard, T.E., Rosendal, A., Christensen, J.W., Robinson, G., Zellou, A.M., Royer, T., 2006. Seismically Driven Reservoir Characterization Using an Innovative Integrated Approach: Syd Arne Field. SPE Annual Technical Conference and Exhibition, ATCE 2006: Focus on the Future, SPE68512, p.4674-4684.

[3] Contreras, A., Torres-Verdin, C., Kvien, K., Fasnacht, T., Chesters, W., 2005. AVA Stochastic Inversion of Pre-stack Seismic Data and Well Logs for 3D Reservoir Modeling. 67th European Association of Geoscientists and Engineers, EAGE Conference and Exhibition, Incorporating SPE EUROPE2005—Extended Abstracts, SPE66893, p.1333-1336.

[4] Fu, G.Q., 2000. Geological model Ng for integrated evaluation of sandstone reservoir of fluvial facies. Petroleum Study Journal, 21(5):22-26 (in Chinese).

[5] Jiang, X.Y., Wu, S.H., Wang, Z.Z., 2005. Application of 3D reservoir modeling in the reservoir description of the 9th wellblock of Cainan Oilfield. Xi’an Shiyou Daxue Xuebao (Ziran Kexue Ban), 20(4):31-34 (in Chinese).

[6] King, M.J., Burn, K.S., Wang, P., Muralidharan, V., Alvarado, F., Ma, X., Datta-Gupta, A., 2006. Optimal coarsening of 3D reservoir models for flow simulation. Reserv. Eval. Eng., 58(6):64-68. SPE 95759, prepared for the 2005 SPE Annual Technical Conference and Exhibition, Dallas.

[7] Lv, X.G., 2001. Reservoir determinable modeling method basing on dense pattern condition. Daqing Petroleum Geology and Development, 20(5):19-25 (in Chinese).

[8] Qiu, Y.N., 1991. Reservoir geological model. Petroleum Study Journal, 12(4):55-611 (in Chinese).

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

[10] 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.

[11] Waryan, S., Vo, D.T., Stites, J., Swanson, M., 2001. Integrated 3D Geological Data into Fluid Flow Model Improves Reservoir Management Plan: Serang Field Case Study. Proc. of the SPE Asia Pacific Oil and Gas Conference and Exhibition. Jakarta, Indonesia, SPE 68646, p.2-12.

[12] Wu, J., Cao, D.Y., 2006. Research on 3D distribution of meandering river sand body using sedimentary facies method and 3D geological modeling. J. China Univ. Min. Technol., 16(3):349-352.

[13] Yu, X.H., 2002. Oil/gas Reservoir Sedimentology of Clasolite Series. Petroleum Industry Express, Beijing (in Chinese).

[14] Zhang, P.G., Pickup, G., Christie, M., Heriot-Watt, U., 2006. A new Method for Accurate and Practical Upscaling in Highly Heterogeneous Reservoir Models. Proc. of the 2006 SPE International Oil & Gas Conference and Exhibition. Beijing, China, SPE 103760, p.1-11.

Open peer comments: Debate/Discuss/Question/Opinion


Please provide your name, email address and a comment

Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE