Analytical Fracture Models for Overall Hydraulic Fracturing Reservoirs

Zhongbao Wu

doi:doi:10.11648/j.ogce.20190701.13

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Analytical Fracture Models for Overall Hydraulic Fracturing Reservoirs

Zhongbao Wu

Published in International Journal of Oil, Gas and Coal Engineering (Volume 7, Issue 1)

Received: 8 August 2018 Accepted: 20 September 2018 Published: 24 January 2019

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Abstract

Hydraulic fracturing has become an indispensable stimulation measure for low permeability reservoirs, but how to quantitatively establish the fracturing geological model of this kind of reservoir has been an important factor restricting the progress of numerical research on overall hydraulic fracturing reservoirs. Based on the basic hypothesis of hydraulic fracturing and considering the heterogeneity of fracturing parameters, the mathematical models of fracture conductivity, permeability and porosity are deduced by reservoir engineering method, and the corresponding software is compiled to calculate quantitatively the geological parameters at any point of a single artificial fracture and its geological model is established. This model is applied to Sai 309 well area of Suijing oilfield in Changqing. Firstly, according to the geologic and development characteristics of the oilfield, unstable well test analysis method is used to quantitatively analyze the fracture parameters of fractured wells by using the existing formation testing data of wells, and then the critical geological factors and hydraulic fracturing operation parameters are selected to establish artificial neural network. Based on the trained neural network to predict the half-length of artificial fractures and the fracture conductivity of other wells without formation testing data, the porosity and permeability geological model of the fractures in hydraulic fracturing reservoir is established by using the above mathematical model, which lay a foundation for numerical simulation of fracture- matrix coupling in this kind of reservoir.

Published in	International Journal of Oil, Gas and Coal Engineering (Volume 7, Issue 1)
DOI	10.11648/j.ogce.20190701.13
Page(s)	13-20
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Overall Hydraulic Fracturing, Half-Length of Fracture, Fracture Conductivity, Unstable Well-Test Analysis

References

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[6]	HEY, CHENGS, LIS, et al. A semianalytical methodology to diagnose the locations of underperforming hydraulic fractures through pressure-transient analysis in tight gas reservoir [R]. SPE 185166-PA, 2016.
[7]	Wu Zhongbao. The numerical simulation study of large-scale overall fracturing oil reservoir with low permeability. Petroleum Geology and Recovery Efficiency 213(6), 101-104(2006).
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[9]	Ma Yongxin, Lei Xiao, Zhang Qiaoliang, Meng Lingqiang. A new model for calculating effective permeability in low permeability reservoir:A cas study of low permeability marine sediments reservoir in the Pearl River Mouth Basin. Lithologic Reservoirs 28(1), 117-122(2016).
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APA Style

Zhongbao Wu. (2019). Analytical Fracture Models for Overall Hydraulic Fracturing Reservoirs. International Journal of Oil, Gas and Coal Engineering, 7(1), 13-20. https://doi.org/10.11648/j.ogce.20190701.13

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ACS Style

Zhongbao Wu. Analytical Fracture Models for Overall Hydraulic Fracturing Reservoirs. Int. J. Oil Gas Coal Eng. 2019, 7(1), 13-20. doi: 10.11648/j.ogce.20190701.13

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AMA Style

Zhongbao Wu. Analytical Fracture Models for Overall Hydraulic Fracturing Reservoirs. Int J Oil Gas Coal Eng. 2019;7(1):13-20. doi: 10.11648/j.ogce.20190701.13

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@article{10.11648/j.ogce.20190701.13,
  author = {Zhongbao Wu},
  title = {Analytical Fracture Models for Overall Hydraulic Fracturing Reservoirs},
  journal = {International Journal of Oil, Gas and Coal Engineering},
  volume = {7},
  number = {1},
  pages = {13-20},
  doi = {10.11648/j.ogce.20190701.13},
  url = {https://doi.org/10.11648/j.ogce.20190701.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ogce.20190701.13},
  abstract = {Hydraulic fracturing has become an indispensable stimulation measure for low permeability reservoirs, but how to quantitatively establish the fracturing geological model of this kind of reservoir has been an important factor restricting the progress of numerical research on overall hydraulic fracturing reservoirs. Based on the basic hypothesis of hydraulic fracturing and considering the heterogeneity of fracturing parameters, the mathematical models of fracture conductivity, permeability and porosity are deduced by reservoir engineering method, and the corresponding software is compiled to calculate quantitatively the geological parameters at any point of a single artificial fracture and its geological model is established. This model is applied to Sai 309 well area of Suijing oilfield in Changqing. Firstly, according to the geologic and development characteristics of the oilfield, unstable well test analysis method is used to quantitatively analyze the fracture parameters of fractured wells by using the existing formation testing data of wells, and then the critical geological factors and hydraulic fracturing operation parameters are selected to establish artificial neural network. Based on the trained neural network to predict the half-length of artificial fractures and the fracture conductivity of other wells without formation testing data, the porosity and permeability geological model of the fractures in hydraulic fracturing reservoir is established by using the above mathematical model, which lay a foundation for numerical simulation of fracture- matrix coupling in this kind of reservoir.},
 year = {2019}
}

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TY  - JOUR
T1  - Analytical Fracture Models for Overall Hydraulic Fracturing Reservoirs
AU  - Zhongbao Wu
Y1  - 2019/01/24
PY  - 2019
N1  - https://doi.org/10.11648/j.ogce.20190701.13
DO  - 10.11648/j.ogce.20190701.13
T2  - International Journal of Oil, Gas and Coal Engineering
JF  - International Journal of Oil, Gas and Coal Engineering
JO  - International Journal of Oil, Gas and Coal Engineering
SP  - 13
EP  - 20
PB  - Science Publishing Group
SN  - 2376-7677
UR  - https://doi.org/10.11648/j.ogce.20190701.13
AB  - Hydraulic fracturing has become an indispensable stimulation measure for low permeability reservoirs, but how to quantitatively establish the fracturing geological model of this kind of reservoir has been an important factor restricting the progress of numerical research on overall hydraulic fracturing reservoirs. Based on the basic hypothesis of hydraulic fracturing and considering the heterogeneity of fracturing parameters, the mathematical models of fracture conductivity, permeability and porosity are deduced by reservoir engineering method, and the corresponding software is compiled to calculate quantitatively the geological parameters at any point of a single artificial fracture and its geological model is established. This model is applied to Sai 309 well area of Suijing oilfield in Changqing. Firstly, according to the geologic and development characteristics of the oilfield, unstable well test analysis method is used to quantitatively analyze the fracture parameters of fractured wells by using the existing formation testing data of wells, and then the critical geological factors and hydraulic fracturing operation parameters are selected to establish artificial neural network. Based on the trained neural network to predict the half-length of artificial fractures and the fracture conductivity of other wells without formation testing data, the porosity and permeability geological model of the fractures in hydraulic fracturing reservoir is established by using the above mathematical model, which lay a foundation for numerical simulation of fracture- matrix coupling in this kind of reservoir.
VL  - 7
IS  - 1
ER  -

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Author Information

Zhongbao Wu

Research Institute of Petroleum Exploration & Development, Petro China, Beijing, China

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Plain Text BibTeX RIS

APA Style

Zhongbao Wu. (2019). Analytical Fracture Models for Overall Hydraulic Fracturing Reservoirs. International Journal of Oil, Gas and Coal Engineering, 7(1), 13-20. https://doi.org/10.11648/j.ogce.20190701.13

Copy | Download

ACS Style

Zhongbao Wu. Analytical Fracture Models for Overall Hydraulic Fracturing Reservoirs. Int. J. Oil Gas Coal Eng. 2019, 7(1), 13-20. doi: 10.11648/j.ogce.20190701.13

Copy | Download

AMA Style

Zhongbao Wu. Analytical Fracture Models for Overall Hydraulic Fracturing Reservoirs. Int J Oil Gas Coal Eng. 2019;7(1):13-20. doi: 10.11648/j.ogce.20190701.13

Copy | Download

@article{10.11648/j.ogce.20190701.13,
  author = {Zhongbao Wu},
  title = {Analytical Fracture Models for Overall Hydraulic Fracturing Reservoirs},
  journal = {International Journal of Oil, Gas and Coal Engineering},
  volume = {7},
  number = {1},
  pages = {13-20},
  doi = {10.11648/j.ogce.20190701.13},
  url = {https://doi.org/10.11648/j.ogce.20190701.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ogce.20190701.13},
  abstract = {Hydraulic fracturing has become an indispensable stimulation measure for low permeability reservoirs, but how to quantitatively establish the fracturing geological model of this kind of reservoir has been an important factor restricting the progress of numerical research on overall hydraulic fracturing reservoirs. Based on the basic hypothesis of hydraulic fracturing and considering the heterogeneity of fracturing parameters, the mathematical models of fracture conductivity, permeability and porosity are deduced by reservoir engineering method, and the corresponding software is compiled to calculate quantitatively the geological parameters at any point of a single artificial fracture and its geological model is established. This model is applied to Sai 309 well area of Suijing oilfield in Changqing. Firstly, according to the geologic and development characteristics of the oilfield, unstable well test analysis method is used to quantitatively analyze the fracture parameters of fractured wells by using the existing formation testing data of wells, and then the critical geological factors and hydraulic fracturing operation parameters are selected to establish artificial neural network. Based on the trained neural network to predict the half-length of artificial fractures and the fracture conductivity of other wells without formation testing data, the porosity and permeability geological model of the fractures in hydraulic fracturing reservoir is established by using the above mathematical model, which lay a foundation for numerical simulation of fracture- matrix coupling in this kind of reservoir.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Analytical Fracture Models for Overall Hydraulic Fracturing Reservoirs
AU  - Zhongbao Wu
Y1  - 2019/01/24
PY  - 2019
N1  - https://doi.org/10.11648/j.ogce.20190701.13
DO  - 10.11648/j.ogce.20190701.13
T2  - International Journal of Oil, Gas and Coal Engineering
JF  - International Journal of Oil, Gas and Coal Engineering
JO  - International Journal of Oil, Gas and Coal Engineering
SP  - 13
EP  - 20
PB  - Science Publishing Group
SN  - 2376-7677
UR  - https://doi.org/10.11648/j.ogce.20190701.13
AB  - Hydraulic fracturing has become an indispensable stimulation measure for low permeability reservoirs, but how to quantitatively establish the fracturing geological model of this kind of reservoir has been an important factor restricting the progress of numerical research on overall hydraulic fracturing reservoirs. Based on the basic hypothesis of hydraulic fracturing and considering the heterogeneity of fracturing parameters, the mathematical models of fracture conductivity, permeability and porosity are deduced by reservoir engineering method, and the corresponding software is compiled to calculate quantitatively the geological parameters at any point of a single artificial fracture and its geological model is established. This model is applied to Sai 309 well area of Suijing oilfield in Changqing. Firstly, according to the geologic and development characteristics of the oilfield, unstable well test analysis method is used to quantitatively analyze the fracture parameters of fractured wells by using the existing formation testing data of wells, and then the critical geological factors and hydraulic fracturing operation parameters are selected to establish artificial neural network. Based on the trained neural network to predict the half-length of artificial fractures and the fracture conductivity of other wells without formation testing data, the porosity and permeability geological model of the fractures in hydraulic fracturing reservoir is established by using the above mathematical model, which lay a foundation for numerical simulation of fracture- matrix coupling in this kind of reservoir.
VL  - 7
IS  - 1
ER  -

Copy | Download