Impact of micro-scale heterogeneity on gas diffusivity of organic-rich shale matrix

2017 ◽  
Vol 45 ◽  
pp. 75-87 ◽  
Author(s):  
Feng Gao ◽  
Jia Liu ◽  
J.G. Wang ◽  
Yang Ju ◽  
Chun Fai Leung
2008 ◽  
Vol 43 (2) ◽  
pp. 156-174 ◽  
Author(s):  
S. H. Foord ◽  
M. M. Mafadza ◽  
A. S. Dippenaar-Schoeman ◽  
B. J. Van Rensburg

Author(s):  
Xinglong Zhao ◽  
David Lidbury ◽  
Joa˜o Quinta da Fonseca ◽  
Andrew Sherry

Brittle fracture can have potentially catastrophic consequences on the safety and integrity of engineering components. For this reason, the accurate prediction of cleavage failure probability is of importance in assessing the defect tolerance of high-integrity ferritic steel components, given the possibility of operation in the presence of significant loads at temperatures in the ductile-brittle transition range. In current safety assessments, fracture mechanics treats polycrystalline steels as homogeneous continua. In reality, deformation is heterogeneous, due to the elastic and plastic anisotropy of their constituent (often randomly orientated) grains. Heterogeneity at the micro (grain) scale is currently not considered by conventional fracture mechanics. This paper describes the initial results of a programme of work on a 22NiMoCr37 steel forging to assess the effect of micro-scale heterogeneity on cleavage fracture probability using an adaptation of the Beremin local approach model. The results of cleavage fracture modelling allowing for the effects of micro-scale heterogeneity are compared with the results of modelling based on the assumption of homogeneous materials behaviour. Application of the micro-scale heterogeneity model is providing some new insights into the prediction of cleavage fracture probability.


2020 ◽  
Vol 142 ◽  
pp. 103644 ◽  
Author(s):  
Paolo Trinchero ◽  
Vladimir Cvetkovic ◽  
Jan-Olof Selroos ◽  
Dirk Bosbach ◽  
Guido Deissmann

Water SA ◽  
2011 ◽  
Vol 37 (4) ◽  
Author(s):  
HF Dallas ◽  
NA Rivers-Moore

2020 ◽  
Author(s):  
Márcia A. Inda ◽  
Paul van Swinderen ◽  
Anne van Brussel ◽  
Cathy B. Moelans ◽  
Wim Verhaegh ◽  
...  

AbstractBackgroundTargeted drug treatment aims to block tumor driving signaling pathways, and is generally based on analysis of one primary tumor (PT) biopsy. Phenotypic heterogeneity within primary and between primary and metastatic lesions was investigated.MethodsActivity of androgen and estrogen receptor, PI3K-FOXO, Hedgehog, TGFβ, and Wnt signaling pathways was measured in breast cancer samples using a novel mRNA-based assay platform. Macro-scale heterogeneity analysis was performed on multiple spatially distributed PT tissue blocks from 17 luminal A-like, 9 luminal B-like, and 9 ER-negative primary breast cancers; micro-scale heterogeneity analysis was performed on four “quadrant” samples of a single tissue block of respectively 9, 4, and 4 matched PT. Samples from 6 PT with matched lymph node (LN, n=23) and 9 PT with distant metastatic sites (DS, n=12) were analyzed. Statistical variance analysis was performed with linear mixed models. A “checkerboard” model was introduced to explain the observed heterogeneity in PT.ResultsWithin PT, macro-scale heterogeneity in signaling pathway activity was similar to micro-scale heterogeneity, with a possible exception of the PI3K pathway. Variation was significantly higher on microscale for Hedgehog and TGFβ pathways. While pathway activity scores correlated significantly between different locations in the PT, positive correlations decreased between PT and LN, and even more between PT and DS metastases, including the emergence of a negative correlation for the ER pathway.ConclusionWith a possible exception of the PI3K pathway, variation in signaling pathway activity within a single PT tissue block was generally representative for the whole PT, but not for DS or LN metastases. The higher variation in TGFβ and HH pathway activity on microscale suggested the presence of multiple small cancer cell clones. While analysis of multiple sub-samples of a single biopsy block may be sufficient to predict PT response to some targeted therapies, such as hormonal therapy, metastatic breast cancer treatment requires analysis of metastatic biopsies. The findings on phenotypic intra-tumor heterogeneity are compatible with currently emerging ideas on a Big Bang type of cancer evolution.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Slobodan Sirovica ◽  
Johanne H. Solheim ◽  
Maximilian W. A. Skoda ◽  
Carol J. Hirschmugl ◽  
Eric C. Mattson ◽  
...  

2012 ◽  
Vol 133 ◽  
pp. 40-52 ◽  
Author(s):  
F. Huber ◽  
F. Enzmann ◽  
A. Wenka ◽  
M. Bouby ◽  
M. Dentz ◽  
...  

2017 ◽  
Vol 28 ◽  
pp. 63-72 ◽  
Author(s):  
Hongxu Wei ◽  
Peng Guo ◽  
Haifeng Zheng ◽  
Xingyuan He ◽  
Peijiang Wang ◽  
...  

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