Modelling of methane emissions from offshore oil platforms in the Norwegian sea

2021 ◽  
Author(s):  
Ignacio Pisso ◽  
Amy Foulds ◽  
Grant Allen
Keyword(s):  
Radiative Forcing ◽  
Oil And Gas ◽  
Lagrangian Model ◽  
Model Parameters ◽  
Positive Contribution ◽  
Atmospheric Methane ◽  
Norwegian Sea ◽  
Oil Platforms ◽  
Offshore Oil Platforms ◽  
Offshore Oil

<p>Methane is a major greenhouse gas that has increased since the pre-industrial era and reducing its emissions is potentially an effective way of mitigating the radiative forcing in the short term. The oil & gas industry has a positive contribution to the global atmospheric methane budget with fugitive emissions from infrastructure installations such as offshore oil platforms. As part of the United Nations Climate and Clean Air Coalition (UN CCAC) objective to quantify global CH4 emissions from oil and gas facilities, a series of aircraft campaigns have been carried out in the Norwegian sea among other areas. We report on the Lagrangian modelling activity of the emissions and transport sensitivities used to support the flux assessment. Source identification has been carried out based on backward modelling and has proved useful to interpret observations form the in situ airborne platforms. In addition, forward modelling of the emission plume in high resolution has been applied to constraining the plume height for mass balance methods assessment. Dependency of the resulting uncertainty of the flux estimates on various factors such as the choice of the meteorology and the of the Lagrangian model parameters is also discussed.</p>

scholarly journals Oceanographic gradients and patterns in invertebrate assemblages on offshore oil platforms

2008 ◽  
Vol 65 (6) ◽  
pp. 851-861 ◽  
Author(s):  
Henry M. Page ◽  
Carolynn S. Culver ◽  
Jenifer E. Dugan ◽  
Brent Mardian
Keyword(s):  
Exotic Species ◽  
Oil And Gas ◽  
Function Analysis ◽  
Sea Anemones ◽  
Oil Platforms ◽  
Offshore Oil Platforms ◽  
Invertebrate Assemblages ◽  
Offshore Oil And Gas ◽  
Channel Patterns ◽  
Offshore Oil

Abstract Page, H. M., Culver, C. S., Dugan, J. E., and Mardian, B. 2008. Oceanographic gradients and patterns in invertebrate assemblages on offshore oil platforms. – ICES Journal of Marine Science, 65: 851–861. We explored variability in the composition and cover of subtidal macroinvertebrate assemblages, and the recruitment and growth rates of selected invertebrate species, on seven offshore oil and gas platforms arrayed across a gradient in oceanographic conditions in the Santa Barbara Channel, CA, USA. The major macroinvertebrate taxa (sea anemones, mussels, barnacles, tubiculous amphipods, hydroids, and sponges) were common to all platforms. However, discriminant function analysis (DFA) revealed that the assemblages of two platforms (Gilda and Gail) clearly differed from the other platforms, a pattern attributable, in part, to the presence of conspicuous exotic species (the anemone, Diadumene sp., and encrusting bryozoan, Watersipora subtorquata) on these platforms. If these exotic species were excluded from the analysis, platforms in proximity to each other generally tended to have invertebrate assemblages more similar to each other than to platforms located farther away. Spatial variation in barnacle recruitment onto ceramic plates and mussel growth rate reflected prevailing oceanographic gradients. The existence of along-channel patterns in the composition of platform invertebrate assemblages, and in invertebrate recruitment and growth associated with oceanographic gradients, suggests that assemblages attached to platforms or other artificial structures may be useful barometers of short and perhaps longer term change in ocean climate.

scholarly journals EXPERIENCE OF USING GNSS MEASUREMENT RESULTS AT IGS STATIONS FOR MONITORING OFFSHORE OIL PLATFORMS ON THE SAKHALIN ISLAND

2019 ◽  
Vol 1 (1) ◽  
pp. 62-70
Author(s):  
Alexey Davydov ◽  
Elena Gienko
Keyword(s):  
Sea Of Okhotsk ◽  
Oil And Gas ◽  
Offshore Structures ◽  
Reference Points ◽  
Labor Protection ◽  
Oil Platforms ◽  
Offshore Oil Platforms ◽  
Measurement Results ◽  
Marine Platform ◽  
Offshore Oil

The article contains a description of the methodology for geodetic monitoring of offshore structures, on the example of the PA-B oil and gas platform located on the northeast shelf of Sakha-lin Island in the Sea of Okhotsk. Monitoring of dangerous industrial assets is crucial for the safe op-eration of the facility, labor protection and environmental. The assessment of the possibility of GNSS monitoring of the stationary marine platform with respect to IGS stations without the use of the coastal network of reference points, while maintaining the accuracy of the coordinates at the centimeter level is performed in the article. The results of experiments on processing GNSS meas-urements with respect to the network of IGS stations using the AUSPOS service are presented. It is shown that this method provides a centimeter level of accuracy and concluded that it can be used for monitoring of marine stationary platforms.

scholarly journals The intelligent monitoring and evaluation of the psychophysiological state of the workers employed on offshore oil and gas platforms

2021 ◽  
pp. 3-6
Author(s):  
Masuma Mammadovа ◽  
Zarifa Jabrayilova
Keyword(s):  
Oil And Gas ◽  
Intelligent System ◽  
Health And Safety ◽  
Monitoring And Evaluation ◽  
Oil And Gas Industry ◽  
Professional Activity ◽  
Actual State ◽  
Oil Platforms ◽  
Offshore Oil Platforms ◽  
Offshore Oil

Oil and gas companies have an urgent need for technologies that provide complete and reliable information about the actual state of health and safety of personnel. To solve this problem, the article proposes a concept solution for the development of a system monitoring of the psychophysiological health of workers employed on offshore oil platforms. The concept is based on a person-centered approach and allows monitoring of health of employees simultaneously linking them to the context of the environment. The urgency of the problem is confirmed by statistical data, according to which workers in the oil and gas industry are 8 times more likely to get injured. The article analyzes the specific features of the professional activity of the workers employed on offshore oil platforms and shows that the deterioration of their health and psychological condition due to the long-term “sea environment” is unavoidable. It offers to develop an intelligent system for monitoring the psychophysiological condition of workers employed on offshore oil platforms and to assess its suitability for their position with the reference to the Cattell test and fuzzy patterns recognition. The development and systematic operation of such a system may timely detect undesirable consequences for the health status of workers employed on offshore oil platforms and prevent wrong decisions due to the “human factor”

Quantification of methane emissions from offshore oil & gas platforms in the Norwegian Sea

2021 ◽  
Author(s):  
Amy Foulds ◽  
Keyword(s):  
Oil And Gas ◽  
Dispersion Model ◽  
Particle Dispersion ◽  
Atmospheric Methane ◽  
Atmospheric Measurements ◽  
Norwegian Sea ◽  
Ch4 Emissions ◽  
Reported Data ◽  
Offshore Oil ◽  
Global Emissions

<p>Atmospheric methane (CH4) is an extremely potent greenhouse gas, with ever-increasing global emissions expected to have a significant influence on the Earth’s climate. The Oil and Gas sector is considered to be a significant source of CH4 to the atmosphere, estimated to make up approximately 22% of global emissions. Offshore facility emissions are poorly ground-truthed, with their quantification being heavily dependent on “bottom-up” scaling of inventory data. It is therefore important to devise reliable methods for locating these emissions and to pinpoint their sources, as this will aid emission quantification and validation against reported data.</p><p>As part of the United Nations Climate and Clean Air Coalition (UN CCAC) project, this study aims to characterise CH4 emissions from oil and gas infrastructure in the Norwegian Sea. The campaign comprised surveys of selected operational oil and gas platforms in this region and included targeted observations of CH4.  These surveys were conducted by the Facility of Airborne Atmospheric Measurements (FAAM) and Scientific Aviation Mooney research aircrafts in July and August 2019, with a total 14 flights. Fluxes are derived using a mass balance approach and aircraft sampling. The Lagrangian particle dispersion model “FLEXPART” is used to aid the attribution of the observed CH4 emissions to the platform(s). We will present results for derived fluxes and uncertainties for individual facilities in the Norwegian Sea.  These fluxes will be compared with emissions estimates from platform operators, as well as a global, gridded emission inventory.</p>

Fouling assemblages on offshore oil platforms: diverse vertical reefs in the Arabian Gulf

2018 ◽  
Author(s):  
Pedro Range ◽  
Rodrigo Riera ◽  
Mustafa Omerspahic ◽  
Jessica Bouwmeester ◽  
Steffen Sanvig Bach ◽  
...  
Keyword(s):  
Arabian Gulf ◽  
Oil Platforms ◽  
Offshore Oil Platforms ◽  
Fouling Assemblages ◽  
Offshore Oil
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