Full Text:   <3041>

CLC number: O34

On-line Access: 

Received: 2005-12-30

Revision Accepted: 2006-02-24

Crosschecked: 0000-00-00

Cited: 0

Clicked: 10010

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
Open peer comments

Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.11 P.1904-1910


The fracture network model of Shen 229 block buried hill: A case study from Liaohe Basin, China

Author(s):  XING Yu-zhong, FAN Tai-liang, ZHENG Li-hui

Affiliation(s):  Energy Sources Department, China University of Geosciences, Beijing 100083, China; more

Corresponding email(s):   xingyz@163.com

Key Words:  Buried hill, Fracture network, In-situ stress, Structural fracture

XING Yu-zhong, FAN Tai-liang, ZHENG Li-hui. The fracture network model of Shen 229 block buried hill: A case study from Liaohe Basin, China[J]. Journal of Zhejiang University Science A, 2006, 7(11): 1904-1910.

@article{title="The fracture network model of Shen 229 block buried hill: A case study from Liaohe Basin, China",
author="XING Yu-zhong, FAN Tai-liang, ZHENG Li-hui",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T The fracture network model of Shen 229 block buried hill: A case study from Liaohe Basin, China
%A XING Yu-zhong
%A FAN Tai-liang
%A ZHENG Li-hui
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 11
%P 1904-1910
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A1904

T1 - The fracture network model of Shen 229 block buried hill: A case study from Liaohe Basin, China
A1 - XING Yu-zhong
A1 - FAN Tai-liang
A1 - ZHENG Li-hui
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 11
SP - 1904
EP - 1910
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A1904

High oil production from the Proterozoic formation of Shen 229 block in Damingtun Depression, Liaohe Basin, China, indicates the presence of natural fractured reservoir whose production potential is dominated by the structural fracture. A consistent structural model and good knowledge of the fracture systems are therefore of key importance in reducing risk in the development strategies. So data from cores and image logs have been collected to account for the basic characteristics of fracture, and then the analyzed results were integrated with the structural model in order to restrict the fracture network development during the structural evolvement. The structural evolution of the Proterozoic reservoir with time forms the basis for understanding the development of the 3D fracture system. Seismic interpretation and formation correlation were used to build a 3D geological model. The fault blocks that compose the Proterozoic formation reservoir were subsequently restored to their pre-deformation. From here, the structures were kinematically modeled to simulate the structural evolution of the reservoirs. At each time step, the dilatational and cumulative strain was calculated throughout the modelling history. The total strain which records the total spatial variation in the reservoir due to its structural history, together with core data, well data and the lithology distribution, was used to simulate geologically realistic discrete fracture networks. The benefit of this technique over traditional curvature analysis is that the structural evolution is taken into account, a factor that mostly dominates fracture formation.

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


[1] Engelder, T., 1985. Loading path to joint propagation during a tectonic cycle: an example from the Appalachian Plateau, USA. Journal of Structural Geology, 7(3-4):459-476.

[2] Engelder, T., Geiser, P., 1980. On the use of regional joint sets as trajectories of paleostress field during the development of the Appalachian Plateau, New York. Journal of Geophysical Research, 85:6319-6341.

[3] Gauthier, B.D.M., Franssen1, R.C.W.M., Drei, S., 2000. Fracture networks in Rotliegend gas reservoirs of the Dutch offshore: implications for reservoir behaviour. Netherlands Journal of Geosciences, 79(1):45-57.

[4] Lisle, R.J., 1994. Detection of zones of abnormal strains in structures using Gaussian curvature analysis. AAPG Bulletin, 78:1811-1819.

[5] Loosveld, R.J.H., Franssen, R.C.M.W., 1992. Extensional vs. Shear Fractures: Implications for Reservoir Characterization. European Petroleum Conference (Cannes, 16-18 November) Proceedings 2, Paper SPE, 25017:65-66.

[6] McKeown, C., Smallshire, R., Ahlgren, S., Sanders, C., Griffiths, P., Gibbs, A., Kozlowski, E., Sylwan, C., 2003. Structural Modelling for Fracture Network Prediction and Analysis. AAPG Special Memoir, Fracture Characterization, Basic Techniques and Case Studies for the Oil Industry, p.51-66.

[7] Price, N.J., Cosgrove, J.W., 1990. Analysis of Geological Structures. Cambridge University Press, Cambridge, p.502.

[8] Sanders, C.A.E., Fullarton, L., Calvert, S., 2002. Modelling Fracture systems in extensional crystalline basement. Geological Society of London Publications: Hydrocarbons in Crystalline Basement, 147:145-162.

[9] Shi, G.S., 1988. The Structure Characters of Liaohe Basin. Petroleum Industry Press, Beijing (in Chinese).

[10] Smallshire, R., Griffiths, P., McKeown, C., 2002. Determining Well Connectivity-topological Modeling of Natural and Synthetic Fracture Systems (abs.). AAPG Annual Convention Program and Abstracts, p.43-47.

[11] Terzaghi, R.D., 1965. Source of error in joint surveys. Geotechnique, 15:287-304.

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