FracProp: Stochastic Fracture Propagation Model
Abstract This paper presents a geometric, mechanics-based, stochastic model—FracProp—that was developed to predict fracture initiation and propagation in rock. FracProp is capable of quantifying uncertainties associated with the point of fracture initiation and direction of fracture p...
| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Springer Vienna
2021
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| Acesso em linha: | https://hdl.handle.net/1721.1/133147 |
| _version_ | 1826208432738271232 |
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| author | Abdulla, Mohammad Sousa, Rita L Arzuaga, Ignazio AlDajani, Omar da Silva, Bruno G Einstein, Herbert H |
| author_facet | Abdulla, Mohammad Sousa, Rita L Arzuaga, Ignazio AlDajani, Omar da Silva, Bruno G Einstein, Herbert H |
| author_sort | Abdulla, Mohammad |
| collection | MIT |
| description | Abstract
This paper presents a geometric, mechanics-based, stochastic model—FracProp—that was developed to predict fracture initiation and propagation in rock. FracProp is capable of quantifying uncertainties associated with the point of fracture initiation and direction of fracture propagation. The current version of FracProp uses compounded probability distributions that are continuously fitted based on mechanical principles (stress distribution and material properties). The model assumes that fracture initiation and propagation depend on the stress profiles around the fracture (flaw) tip in a rock block subjected to vertical, horizontal, and internal loading. To develop the model, we studied the mechanics of a rock block containing one single flaw (pre-existing opening) with the Finite Element (FE) software ABAQUS. Stress profiles obtained in the modeling were used with the model’s probabilistic processes to dynamically simulate (model) crack/fracture propagation. FracProp was validated with the results of experiments under various loading conditions done at the Massachusetts Institute of Technology (MIT) geomechanics laboratory. |
| first_indexed | 2024-09-23T14:05:21Z |
| format | Article |
| id | mit-1721.1/133147 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T14:05:21Z |
| publishDate | 2021 |
| publisher | Springer Vienna |
| record_format | dspace |
| spelling | mit-1721.1/1331472021-11-01T14:36:55Z FracProp: Stochastic Fracture Propagation Model Abdulla, Mohammad Sousa, Rita L Arzuaga, Ignazio AlDajani, Omar da Silva, Bruno G Einstein, Herbert H Abstract This paper presents a geometric, mechanics-based, stochastic model—FracProp—that was developed to predict fracture initiation and propagation in rock. FracProp is capable of quantifying uncertainties associated with the point of fracture initiation and direction of fracture propagation. The current version of FracProp uses compounded probability distributions that are continuously fitted based on mechanical principles (stress distribution and material properties). The model assumes that fracture initiation and propagation depend on the stress profiles around the fracture (flaw) tip in a rock block subjected to vertical, horizontal, and internal loading. To develop the model, we studied the mechanics of a rock block containing one single flaw (pre-existing opening) with the Finite Element (FE) software ABAQUS. Stress profiles obtained in the modeling were used with the model’s probabilistic processes to dynamically simulate (model) crack/fracture propagation. FracProp was validated with the results of experiments under various loading conditions done at the Massachusetts Institute of Technology (MIT) geomechanics laboratory. 2021-10-27T16:11:54Z 2021-10-27T16:11:54Z 2021-03-01 2021-04-25T03:30:20Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/133147 Abdulla, Mohammad, Sousa, Rita L, Arzuaga, Ignazio, AlDajani, Omar, da Silva, Bruno G et al. 2021. "FracProp: Stochastic Fracture Propagation Model." en https://doi.org/10.1007/s00603-021-02377-3 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ The Author(s), under exclusive licence to Springer-Verlag GmbH, AT part of Springer Nature application/pdf Springer Vienna Springer Vienna |
| spellingShingle | Abdulla, Mohammad Sousa, Rita L Arzuaga, Ignazio AlDajani, Omar da Silva, Bruno G Einstein, Herbert H FracProp: Stochastic Fracture Propagation Model |
| title | FracProp: Stochastic Fracture Propagation Model |
| title_full | FracProp: Stochastic Fracture Propagation Model |
| title_fullStr | FracProp: Stochastic Fracture Propagation Model |
| title_full_unstemmed | FracProp: Stochastic Fracture Propagation Model |
| title_short | FracProp: Stochastic Fracture Propagation Model |
| title_sort | fracprop stochastic fracture propagation model |
| url | https://hdl.handle.net/1721.1/133147 |
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