The role of the diffusion permeability of soils in the regulation of methane emission on gas-bearing areas

2004 ◽  
Vol 399 (1-6) ◽  
pp. 484-488 ◽  
Author(s):  
N. V. Mozharova ◽  
S. N. Ushakov
AGU Advances ◽  
2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Jinfeng Chang ◽  
Shushi Peng ◽  
Yi Yin ◽  
Philippe Ciais ◽  
Petr Havlik ◽  
...  

2015 ◽  
Vol 14 (16) ◽  
pp. 1427-1438 ◽  
Author(s):  
Karri Satyanagalakshmi ◽  
Goud Talla Sridhar ◽  
S. K. Sirohi

2014 ◽  
Vol 54 (2) ◽  
pp. 494
Author(s):  
Mark Woodall ◽  
Grant Skinner ◽  
Mauro Viandante ◽  
Laura Pontarelli ◽  
Konstantinos Kostas ◽  
...  

The Pyrenees Field comprises a series of biodegraded 19° API oil accumulations reservoired in Early Cretaceous sandstones of the Pyrenees Member in the Exmouth Sub-Basin, offshore WA The reservoir comprises excellent quality, poorly consolidated shallow marine to deltaic sands. Variable thickness oil columns (some with associated gas caps), strong bottom water drive, and relatively viscous oil has necessitated the drilling of long (up to 2,000 m) horizontal wells to maximise reservoir exposure while geosteering well to within a few meters of the roof of the reservoir to maximise standoff from the OWCs. The field is covered by excellent quality 3D seismic data; however, pre-drill mapping for well path planning is complicated by the unconformable nature of the top reservoir boundary formed by the sub-cropping Pyrenees Member. Faulting within and localised velocity variations above the reservoir are also a challenge to pre-drill well planning. Cutting-edge geosteering tools have been used to achieve the desired well paths. The tools use azimuthal deep induction resistivity measurements to model and predict reservoir and fluid boundaries, taking advantage of the large resistivity contrasts between the overlying sealing mudstones of the Muderong Formation and the oil (and occasionally gas) bearing Pyrenees reservoir sands. This extended abstract discusses the application of the tools both in pre-drill well path planning and the real-time geosteering operation. Operations are managed between the rig and a sub-surface team located in a dedicated geosteering room onshore. Here real-time data is compared with planned well paths in 3D seismic and geocellular reservoir models and well path adjustments made to optimise final well placement.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
James Temitope Dada ◽  
Folorunsho Monsur Ajide ◽  
Akinwumi Sharimakin

PurposeThis study investigates the effect of shadow economy on environmental pollution and the role of institutional quality in moderating the impact in African countries between 1991 and 2015.Design/methodology/approachThe study employs three pollutant variables namely: carbon dioxide emissions per capita, methane emission and nitrous oxide emission as robustness check. Also, battery of methodologies; ordinary least squares, fixed effects and system generalised method of moments are used to drive out the conclusions of this study.FindingsThe findings reveal that shadow economy and institutional quality contribute significantly to environmental pollution in Africa. Further, the interactive effect of shadow economy and institutional quality worsens environmental quality in the region. This reveals that weak institutional quality recorded in the region increases the level of shadow economy, thereby intensifying environmental pollution.Practical implicationsThe study concludes that weak institutional framework in the region reinforces shadow economy and environmental pollution. Hence, findings from this study can help policymakers in the region to better understand the role of institutional quality in reducing shadow economy and environmental pollution.Originality/valueThis study enriches one’s understanding on the role of institutional quality in the relationship between environmental quality and shadow economy in African context. It investigates the direct and indirect impact of institutions and shadow economy on environmental quality. The study also uses three different robust variables to measure environmental pollution (carbon dioxide (CO2) emissions per capita, methane emission and nitrous oxide emission) for sensitivity analysis.


Author(s):  
T. Wagatsuma ◽  
T. Nakashima ◽  
K. Tawaraya ◽  
S. Watanabe ◽  
A. Kamio ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Jinfeng CHANG ◽  
Shushi Peng ◽  
Yi Yin ◽  
Philippe Ciais ◽  
Petr Havlik ◽  
...  

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Eman Pourkhiz ◽  
Seyed J.F. Hosseini ◽  
Seyed V. Alavi ◽  
Farhad L. Ara

2018 ◽  
Vol 10 (4) ◽  
pp. 1139 ◽  
Author(s):  
Yangjie Li ◽  
Dongqi Wang ◽  
Zhenlou Chen ◽  
Haiyan Jin ◽  
Hong Hu ◽  
...  

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