An Energy-Based Brittleness Index Introduction and Application for Unconventional Shale Reservoir: A Case Study

Ezhov, K.; Kolomytsev, Alexander; Petrova, Deva; Dubinya, N. V.

doi:10.3997/2214-4609.202011312

Cited by 1 publication

(2 citation statements)

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“…An attempt to incorporate mechanical failure of the rock into brittleness index determination from well logs has been made by Jin et al, 2014 [21]. Critical strain energy release rate-fracture energy independent of the applied load and geometry of the body [27]was considered as a parameter connecting elastic moduli and failure process. It should be noted that hydraulic fracturing was the main focus of the study, so failure of planar Imode fracture was analyzed.…”

Section: Log-based Brittleness Indices (Lbis)mentioning

confidence: 99%

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Problems of Multiscale Brittleness Estimation for Hydrocarbon Reservoir Exploration and Development

2022

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The study is focused on the problem of using geophysical data to estimate brittleness of rock masses for the needs of petroleum industry. Three main developed ways to estimate brittleness—mineral-based, log-based, and elastic-based brittleness indices—are discussed from the perspective of scaling factor. The study highlights the contradictions between brittleness indices calculated from the same data using various ways of introducing brittleness. These contradictions are explained by scaling factor, as geophysical data used for brittleness estimation are typically obtained at different spatial and temporal scales. A model based on the effective medium theory is used to understand the relationships between inner structure of inhomogeneous rocks and their brittleness indices estimated from laboratory tests on core samples as well as log data analysis.

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Section: Log-based Brittleness Indices (Lbis)mentioning

confidence: 99%

“…It was noted that critical energy release rate Gc had been established for such fracture propagation, resulting in the existence of a relationship between Young's modulus and a certain fracability. The following failure mechanics equation was used to evaluate critical energy release rate [27]…”

Section: Log-based Brittleness Indices (Lbis)mentioning

confidence: 99%