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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.

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%A XING Yu-zhong
%A FAN Tai-liang
%A ZHENG Li-hui
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%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
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PB - Zhejiang University Press & Springer
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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.

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