Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)

Simulation Research and Application of Complex Fracture Network for SRV

Authors
Chao Sun, Wei Liu, Heng Zheng, Hao Ma, Jian-meng Sun
Corresponding Author
Wei Liu
Available Online July 2019.
DOI
https://doi.org/10.2991/masta-19.2019.15How to use a DOI?
Keywords
Stimulated reservoir volume, Fracture mechanics, Expansion and propagation, Fracture network, Mathematical model
Abstract

Stimulated Reservoir Volume (SRV) is one of new emerging hydraulic fracturing techniques to develop shale gas, tight sandstone and other unconventional reservoirs. The favorable geological conditions and reasonable fracturing design are critical factors to form complex fracture network that is different from conventional bi-wing fracture. In the reservoir, conductivity and drainage space can be enhanced by the fracture network. At present, numerical simulation of complex fractures is still based on the pseudo-3D model and depend on huge amount of calculation to obtain the fracture network. Therefore, this method has distinct differences in actual propagation and need to be computed intensively. Applying the theory of mechanics of materials and fracture mechanics, the equations of expansion and propagation for natural fracture are derived and the equation of stress shadow is adopted to consider the additional normal stress induced by adjacent fractures. Based on the propagation pressure, the length of branching fracture can be obtained by establishing a novel fracture network model. The model can be solved explicitly through the net pressure. This method can reduce the iterations effectively when many natural fracture must be accounted for the realization of numerical calculation. In order to verify the accuracy of the results, the parameters applied in the treatment are adopted as input for simulation, and the data of microseismic mapping are also used for matching the fracture network.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
Series
Advances in Intelligent Systems Research
Publication Date
July 2019
ISBN
978-94-6252-761-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/masta-19.2019.15How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chao Sun
AU  - Wei Liu
AU  - Heng Zheng
AU  - Hao Ma
AU  - Jian-meng Sun
PY  - 2019/07
DA  - 2019/07
TI  - Simulation Research and Application of Complex Fracture Network for SRV
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 89
EP  - 95
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.15
DO  - https://doi.org/10.2991/masta-19.2019.15
ID  - Sun2019/07
ER  -