Well Performance Simulation and Parametric Study for Different Refracturing Scenarios in Shale Reservoir

Joint Authors

Ren, Lan
Huang, Jing
Li, Zhiqiang
Wang, Junli
Zhao, Jin-Zhou

Source

Geofluids

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-08-23

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Physics

Abstract EN

Refracturing is an encouraging way to uplift gas flow rate and ultimate gas recovery from shale gas wells.

A numerical model, considering the stimulated reservoir volume and multiscale gas transport, is applied to simulate the gas production from a refractured shale gas well.

The model is verified against field data from a shale gas reservoir in Sichuan Basin.

Two refracturing scenarios: refracturing through existing perforation clusters and refracturing through new perforation zones, are included in the simulation work.

Three years after production is determined to be the optimum time for refracturing based on the evolution analysis of reservoir pressure, effective stress, fracture permeability, and gas recovery.

The role that the hydraulic fracture conductivity and hydraulic fracture half-length play in gas production for different refracturing cases is explored.

Pumping parameters of the refracturing job in Sichuan Basin are discussed combining with sensitivity analysis, and suggestions for pumping parameters optimization are proposed.

American Psychological Association (APA)

Huang, Jing& Ren, Lan& Zhao, Jin-Zhou& Li, Zhiqiang& Wang, Junli. 2018. Well Performance Simulation and Parametric Study for Different Refracturing Scenarios in Shale Reservoir. Geofluids،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1157861

Modern Language Association (MLA)

Huang, Jing…[et al.]. Well Performance Simulation and Parametric Study for Different Refracturing Scenarios in Shale Reservoir. Geofluids No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1157861

American Medical Association (AMA)

Huang, Jing& Ren, Lan& Zhao, Jin-Zhou& Li, Zhiqiang& Wang, Junli. Well Performance Simulation and Parametric Study for Different Refracturing Scenarios in Shale Reservoir. Geofluids. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1157861

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1157861