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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Hydraulic Fracture Propagation, Arrest, and Closure Simulations using PyFrac

Authors: Talebkeikhah, Mohsen; Möri, Andreas; Lecampion, Brice;

Hydraulic Fracture Propagation, Arrest, and Closure Simulations using PyFrac

Abstract

Description: This dataset contains simulation results of hydraulic fracture propagation, arrest, and closure using the open-source PyFrac code. The simulations are based on a Cartesian mesh model to capture the fluid-driven fracture dynamics. It provides simulation results generated with PyFrac, an open-source Python-based hydraulic fracture simulator. PyFrac uses the Implicit Level Set Algorithm (ILSA), originally developed by Peirce and Detournay (2008). The dataset includes time-series data on the evolution of fracture radius, pressure, and width in a permeable elastic medium during hydraulic fracturing. Additionally, data on the closure phase of the fracture are included. The JSON files within the dataset include: Time: The time series during fracture propagation and closure. Efficiency: The ratio of fluid inside the fracture to the total injected volume. Radius: Evolution of fracture radius over time. p inlet: The net pressure at the injection point over time. w inlet: The fracture opening at the injection point over time. Closure Radius (min and mean): Minimum and mean closure radii over time. wc: Minimum width constraint imposed during fracture closure. Intersection Slice Data: Horizontal and vertical slices of the fracture width and pressure at different time steps. These simulations are designed to replicate real-world hydraulic fracturing processes, which are used in resource extraction and geo-energy projects. The simulations provide insights into the fracture’s arrest and recession dynamics as fluid injection ceases. How to Use the Data: The data can be analyzed using standard Python libraries like NumPy and Matplotlib. The JSON format is compatible with most data analysis tools. A typical use case is to plot the evolution of fracture radius, pressure, and opening, or study how fracture closure progresses once fluid injection stops. Related Code: The simulations are performed using the open-source code PyFrac, available at [Zenodo DOI for PyFrac software]. PyFrac simulates planar hydraulic fractures, integrating fracture mechanics with fluid dynamics using a combination of boundary element methods and finite volume schemes. You can refer to the source code for more details on the algorithms implemented and run additional simulations. References: Zia, H., & Lecampion, B. (2020). PyFrac: A planar 3D hydraulic fracture simulator. Computer Physics Communications, 255, 107368. [https://doi.org/10.1016/j.cpc.2020.107368]

Keywords

Fracture Propagation, PyFrac, numerical simulation, Fracture Closure, Computational Simulation, fracture arrest, Fluid Mechanics, Hydraulic Fracture, Elastic Deformation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average