Optimazation of hydraulic fracturing in tight gas reservoirs with alternative fluid

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• Publisher: Cuvillier Verlag
• Year: 2021
• eBook ISBN:
  9783736964723
• Print ISBN:
  9783736974722
• Edition: 1

Due to the finite nature of petroleum resources and depletion of conventional reservoirs, the exploitation of unconventional resources has been a key to meeting world energy needs. Natural gas, a cleaner fossil fuel compared to oil and coal, has an increasing role in the energy mix. It is expected that the peak global natural gas production will remain between 3.7-6.1 trillion m3 per year between 2019 and 2060.Therefore, addressing the technical challenges posed by reservoir exploitation technologies in an environmentally responsible manner is critical for efficient energy production and energy secure of the world.

Table of contents

• 1 Introduction
• 1.1 Motivation and objectives
• 1.2 Thesis outline
• 2 Need for alternative frac-fluid
• 2.1 Environmental problems
• 2.2 Technical problems
• 2.3 Problem with public acceptance
• 2.4 Alternative frac-fluids
• 3 Light alkanes (C5-C10)
• 3.1 Properties of alternative fluid
• 3.2 Simulation in a fictive model to investigate phase behavior
• 4 Hydraulic fracture modeling
• 4.1 Brief overview of hydraulic fracturing
• 4.2 Mass and energy balance for flow in porous media
• 4.3 Space and time discretization
• 4.4 Numerical model
• 5 Model verification and application
• 5.1 Fracture initiation and propagation
• 5.2 Isothermal MM flow verification
• 5.3 Non-isothermal MM flow verification
• 5.4 Hydraulic fracturing in McCully tight gas reservoir, New Brunswick, Canada
• 6 Hydraulic fracturing optimization in a tight gas reservoir of Germany
• 6.1 Introduction
• 6.2 Model generation and verification
• 6.3 Production history match
• 6.4 Stress state
• 6.5 Important parameter analysis
• 6.6 Frac-fluid flowback
• 6.7 Design proposals
• 6.8 Comparison with previous fracture job
• 7 Rod-shaped proppants
• 7.1 Introduction
• 7.2 Fracture conductivity
• 7.3 Numerical model
• 7.4 Sensitivity analysis
• 7.5 Application
• 8 Conclusions
• 9 References
• Appendix A