瓦卡穆埃尔塔地层的剪切增强压实分析

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Computation Pub Date : 2023-08-29 DOI:10.3390/computation11120250

J. Hasbani, E. Kias, R. Suarez-Rivera, V. Calo

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引用次数: 0

摘要

对瓦卡穆埃尔塔地层样本进行的实验室测量表明，在具有代表性的现场条件下，样本具有与应力相关的弹性行为和压实作用。实验结果表明，所分析的样本显示出弹塑性变形和剪切增强压实是主要的塑性机制。这些实验结果与有关瓦卡穆埃尔塔地层地质力学特征的多项研究报告中预期的脆性破坏前的线性弹性响应相矛盾。因此，我们对瓦卡穆埃尔塔地层样本进行了全面的实验室分析，显示了其非线性弹性行为和不可恢复的剪切增强压实。此外，我们还根据这些实验观察结果校准了弹塑性构造模型。结果模型准确地再现了观察到的现象，在能源行业的地质工程应用中发挥了关键作用。

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Shear-Enhanced Compaction Analysis of the Vaca Muerta Formation

The laboratory measurements conducted on Vaca Muerta formation samples demonstrate stress-dependent elastic behavior and compaction under representative in situ conditions. The experimental results reveal that the analyzed samples display elastoplastic deformation and shear-enhanced compaction as primary plasticity mechanisms. These experimental findings contradict the expected linear elastic response anticipated before brittle failure, as reported in several studies on the geomechanical characterization of the Vaca Muerta formation. Therefore, we present a comprehensive laboratory analysis of Vaca Muerta formation samples showing their nonlinear elastic behavior and irrecoverable shear-enhanced compaction. Additionally, we calibrate an elastoplastic constitutive model based on these experimental observations. The resulting model accurately reproduces the observed phenomena, playing a pivotal role in geoengineering applications within the energy industry.

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来源期刊

Computation Mathematics-Applied Mathematics

CiteScore

3.50

自引率

4.50%

发文量

201

审稿时长

8 weeks

期刊介绍： Computation a journal of computational science and engineering. Topics: computational biology, including, but not limited to: bioinformatics mathematical modeling, simulation and prediction of nucleic acid (DNA/RNA) and protein sequences, structure and functions mathematical modeling of pathways and genetic interactions neuroscience computation including neural modeling, brain theory and neural networks computational chemistry, including, but not limited to: new theories and methodology including their applications in molecular dynamics computation of electronic structure density functional theory designing and characterization of materials with computation method computation in engineering, including, but not limited to: new theories, methodology and the application of computational fluid dynamics (CFD) optimisation techniques and/or application of optimisation to multidisciplinary systems system identification and reduced order modelling of engineering systems parallel algorithms and high performance computing in engineering.