scholarly journals Designing an Integrated Model of Oil and Gas Management with a SWOT Approach

2020 ◽  
Vol 14 (4) ◽  
pp. 440-445
Author(s):  
Seyed Emad Hosseini ◽  
Amir Naser Akhavan ◽  
Mohsen Bahrami

In the recent years, the growing demand for energy on the one hand and the reduction of conventional hydrocarbon reserves on the other hand have made the proper extraction of oil and gas reserves, i.e. reservoir management issues, more important and hence proper management of these reserves is inevitable. Although renewable energies currently provide the bulk of the world’s energy needs, hydrocarbon fuels remain the main source of energy until 2035.Despite the growing importance of the Integrated Reservoir Management Model (IRMI), as a rational solution to maximize economic production from oil and gas reservoirs, a comprehensive model that can cover all reservoir management modules has not yet been proposed. In this paper, by examining the current condition of reservoir management in one of the subsidiaries of the National Iranian Oil company and analyzing the obtained results, we offer some solutions to improve the condition and finally, we present a comprehensive model for reservoir management in this company.

2009 ◽  
pp. 18-31
Author(s):  
G. Rapoport ◽  
A. Guerts

In the article the global crisis of 2008-2009 is considered as superposition of a few regional crises that occurred simultaneously but for different reasons. However, they have something in common: developed countries tend to maintain a strong level of social security without increasing the real production output. On the one hand, this policy has resulted in trade deficit and partial destruction of market mechanisms. On the other hand, it has clashed with the desire of several oil and gas exporting countries to receive an exclusive price for their energy resources.


2020 ◽  
Vol 8 (8) ◽  
pp. 1444-1458
Author(s):  
N.M. Baranova ◽  
D.S. Loginova ◽  
S.N. Larin

Subject. Illustrating the case of Rosneft Oil Company, we herein study how innovation spurs business operations, increases the competitiveness of firms and protects them from risks. Objectives. We model the innovative activity of Rosneft Oil Company and its competitiveness. Methods. We analyze proceedings by the Russian and foreign scholars, materials on program for the innovative and sustainable development of Rosneft Oil Company. Our assessments were based on statistical data of Rosneft’s annual report for 2004–2019. The regression analysis and econometric studies were conducted via Eviews10. Results. We set models to predict the innovative development of the company for the nearest future. We revealed that the linear model was the most appropriate and suitable for forecasting. Properties and estimates of the exponential model turned to be insignificant, on the contrary. Conclusions and Relevance. Currently, it is difficult to forecast the extent to which corporate development, its innovative activity will change in 2020 and in the nearest future. Despite the company’s achievements before 2020, continuous trade wars, geopolitical conflicts, pandemic, OPEC agreements and a consequential drastic drop in the demand for power resources considerably slowed down the pace of the economic growth not only in the company, but also in the country.


Author(s):  
Kurt M. Reinicke ◽  
Michael Hasenbrink

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1766 ◽  
Author(s):  
Alessandro Suardi ◽  
Sergio Saia ◽  
Walter Stefanoni ◽  
Carina Gunnarsson ◽  
Martin Sundberg ◽  
...  

The collection of residues from staple crop may contribute to meet EU regulations in renewable energy production without harming soil quality. At a global scale, chaff may have great potential to be used as a bioenergy source. However, chaff is not usually collected, and its loss can consist of up to one-fifth of the residual biomass harvestable. In the present work, a spreader able to manage the chaff (either spreading [SPR] on the soil aside to the straw swath or admixed [ADM] with the straw) at varying threshing conditions (with either 1 or 2 threshing rotors [1R and 2R, respectively] in the combine, which affects the mean length of the straw pieces). The fractions of the biomass available in field (grain, chaff, straw, and stubble) were measured, along with the performances of both grain harvesting and baling operations. Admixing chaff allowed for a slightly higher amount of straw fresh weight baled compared to SPR (+336 kg straw ha−1), but such result was not evident on a dry weight basis. At the one time, admixing chaff reduced the material capacity of the combine by 12.9%. Using 2R compared to 1R strongly reduced the length of the straw pieces, and increased the bale unit weight; however, it reduced the field efficiency of the grain harvesting operations by 11.9%. On average, the straw loss did not vary by the treatments applied and was 44% of the total residues available (computed excluding the stubble). In conclusion, admixing of chaff with straw is an option to increase the residues collected without compromising grain harvesting and straw baling efficiencies; in addition, it can reduce the energy needs for the bale logistics. According to the present data, improving the chaff collection can allow halving the loss of residues. However, further studies are needed to optimise both the chaff and the straw recoveries.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Manzar Fawad ◽  
Nazmul Haque Mondol

AbstractGeological CO2 storage can be employed to reduce greenhouse gas emissions to the atmosphere. Depleted oil and gas reservoirs, deep saline aquifers, and coal beds are considered to be viable subsurface CO2 storage options. Remote monitoring is essential for observing CO2 plume migration and potential leak detection during and after injection. Leak detection is probably the main risk, though overall monitoring for the plume boundaries and verification of stored volumes are also necessary. There are many effective remote CO2 monitoring techniques with various benefits and limitations. We suggest a new approach using a combination of repeated seismic and electromagnetic surveys to delineate CO2 plume and estimate the gas saturation in a saline reservoir during the lifetime of a storage site. This study deals with the CO2 plume delineation and saturation estimation using a combination of seismic and electromagnetic or controlled-source electromagnetic (EM/CSEM) synthetic data. We assumed two scenarios over a period of 40 years; Case 1 was modeled assuming both seismic and EM repeated surveys were acquired, whereas, in Case 2, repeated EM surveys were taken with only before injection (baseline) 3D seismic data available. Our results show that monitoring the CO2 plume in terms of extent and saturation is possible both by (i) using a repeated seismic and electromagnetic, and (ii) using a baseline seismic in combination with repeated electromagnetic data. Due to the nature of the seismic and EM techniques, spatial coverage from the reservoir's base to the surface makes it possible to detect the CO2 plume’s lateral and vertical migration. However, the CSEM low resolution and depth uncertainties are some limitations that need consideration. These results also have implications for monitoring oil production—especially with water flooding, hydrocarbon exploration, and freshwater aquifer identification.


2021 ◽  
Vol 30 (5) ◽  
pp. 58-65
Author(s):  
A. Yu. Shebeko ◽  
Yu. N. Shebeko ◽  
A. V. Zuban

Introduction. GOST R 12.3.047-2012 standard offers a methodology for determination of required fire resistance limits of engineering structures. This methodology is based on a comparison of values of the fire resistance limit and the equivalent fire duration. However, in practice incidents occur when, in absence of regulatory fire resistance requirements, a facility owner, who has relaxed the fire resistance requirements prescribed by GOST R 12.3.047–2012, is ready to accept its potential loss in fire for economic reasons. In this case, one can apply the probability of safe evacuation and rescue to compare distributions of fire resistance limits, on the one hand, and evacuation and rescue time, on the other hand.A methodology for the identification of required fire resistance limits. The probabilistic method for the identification of required fire resistance limits, published in work [1], was tested in this study. This method differs from the one specified in GOST R 12.3.047-2012. The method is based on a comparison of distributions of such random values, as the estimated time of evacuation or rescue in case of fire at a production facility and fire resistance limits for engineering structures.Calculations of required fire resistance limits. This article presents a case of application of the proposed method to the rescue of people using the results of full-scale experiments, involving a real pipe rack at a gas processing plant [2].Conclusions. The required fire resistance limits for pipe rack structures of a gas processing plant were identified. The calculations took account of the time needed to evacuate and rescue the personnel, as well as the pre-set reliability of structures, given that the personnel evacuation and rescue time in case of fire is identified in an experiment.


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