Skip to content
#diffusion models Open access

Transient Propagation of a Toughness-Dominated Plane-Strain Hydraulic Fracture in a Diffusive Porous Medium

Oct 2026 · Rock Mechanics and Rock Engineering · 44 references
Hydraulic Fracturing and Reservoir Analysis

Abstract

Abstract We develop a transient framework for modeling toughness-dominated plane-strain hydraulic fracture propagation in permeable formations that incorporates fully two-dimensional (2D) pore pressure diffusion. The formulation employs an impulse response approach to evaluate the leak-off volume through a diffusion kernel, enabling a consistent treatment of finite-time diffusion without relying on classical one-dimensional (1D) leak-off assumptions. Asymptotic limits of the kernel agree with full kernel numerical computations. A finite pre-propagation stage is included, consisting of pressure buildup in a closed fracture and subsequent opening to breakdown. The governing dimensionless parameters—the initial half-length $$\gamma _{0}$$ γ 0 , the injection rate parameter I , and the storage parameter $$\varphi$$ φ —control both the onset and evolution of propagation. A critical condition $$I^{2}\gamma _{0}\simeq 1.2$$ I 2 γ 0 ≃ 1.2 is identified, below which propagation cannot occur without unbounded injection rate, emphasizing the need for a finite initial fracture length. A 2D leak-off-dominated regime is identified at large times of propagation, which shares the same square-root time dependence of length as the classical vertex, with a reduced prefactor dependent on I . During propagation, large I produces a pore pressure field concentrated near the fracture and leads to a regime similar to 1D leak-off before transitioning to a 2D leak-off-dominated regime. Small I results in immediate 2D diffusion and no passage through the storage-dominated toughness vertex. The model quantifies the transition between 1D and 2D diffusion and delineates the conditions under which Carter-type leak-off provides an adequate approximation. This framework offers a physically consistent extension of classical hydraulic fracture models to permeable formations.

View source

Similar papers

#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Conference Sep 2010

Exploring the Sources of Waste in Kanban Software Development Projects

The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...

Marko Ikonen, Petri Kettunen, Nilay V. Oza et al. · 67 citations · ⚡9

Related blog posts

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.