Multi-scale modelling of gas transport and production evaluation in shale reservoir considering crisscrossing fractures

Author(s):  
Marembo Micheal ◽  
WenLong Xu ◽  
HengYu Xu ◽  
JiaNing Zhang ◽  
HongJie Jin ◽  
...  
Author(s):  
Alexandru Szabo ◽  
Radu Negru ◽  
Alexandru-Viorel Coşa ◽  
Liviu Marşavina ◽  
Dan-Andrei Şerban

2020 ◽  
Author(s):  
Clément Beust ◽  
Erwin Franquet ◽  
Jean-Pierre Bédécarrats ◽  
Pierre Garcia ◽  
Jérôme Pouvreau ◽  
...  

2021 ◽  
Author(s):  
Ahmed Alhajaj ◽  
Hammed Balogun ◽  
Daniel Bahamon ◽  
Nour Alkhatib ◽  
Lourdes F. Vega

2018 ◽  
Vol 341 ◽  
pp. 740-787
Author(s):  
Felipe Figueredo Rocha ◽  
Pablo Javier Blanco ◽  
Pablo Javier Sánchez ◽  
Raúl Antonino Feijóo

2015 ◽  
Vol 8 (12) ◽  
pp. 5189-5211 ◽  
Author(s):  
M. W. Shephard ◽  
C. A. McLinden ◽  
K. E. Cady-Pereira ◽  
M. Luo ◽  
S. G. Moussa ◽  
...  

Abstract. The wealth of air quality information provided by satellite infrared observations of ammonia (NH3), carbon monoxide (CO), formic acid (HCOOH), and methanol (CH3OH) is currently being explored and used for a number of applications, especially at regional or global scales. These applications include air quality monitoring, trend analysis, emissions, and model evaluation. This study provides one of the first direct validations of Tropospheric Emission Spectrometer (TES) satellite-retrieved profiles of NH3, CH3OH, and HCOOH through comparisons with coincident aircraft profiles. The comparisons are performed over the Canadian oil sands region during the intensive field campaign (August–September, 2013) in support of the Joint Canada–Alberta Implementation Plan for Oil Sands Monitoring (JOSM). The satellite/aircraft comparisons over this region during this period produced errors of (i) +0.08 ± 0.25 ppbv for NH3, (ii) +7.5 ± 23 ppbv for CO, (iii) +0.19 ± 0.46 ppbv for HCOOH, and (iv) −1.1 ± 0.39 ppbv for CH3OH. These values mostly agree with previously estimated retrieval errors; however, the relatively large negative bias in CH3OH and the significantly greater positive bias for larger HCOOH and CO values observed during this study warrant further investigation. Satellite and aircraft ammonia observations during the field campaign are also used in an initial effort to perform preliminary evaluations of Environment Canada's Global Environmental Multi-scale – Modelling Air quality and CHemistry (GEM-MACH) air quality modelling system at high resolution (2.5 × 2.5 km2). These initial results indicate a model underprediction of ~ 0.6 ppbv (~ 60 %) for NH3, during the field campaign period. The TES/model CO comparison differences are ~ +20 ppbv (~ +20 %), but given that under these conditions the TES/aircraft comparisons also show a small positive TES CO bias indicates that the overall model underprediction of CO is closer to ~ 10 % at 681 hPa (~ 3 km) during this period.


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