Reducing Emissions and Improving Energy Efficiency in the Upstream Oil and Gas Industry

2008 ◽  
Author(s):  
Harald Underbakke ◽  
Inge Brigt Gytri ◽  
Jon Jakobsen ◽  
Stig Hove
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Oil And Gas ◽  
Cost Effective ◽  
Oil And Gas Industry ◽  
Emission Taxes ◽  
Gas Industry ◽  
Priority Area ◽  
Parallel Change ◽  
Petrochemical Industries

Energy efficiency and emission control has traditionally been a priority area in refining and petrochemical industries. In the last 15–20 years these issues has increasingly been focused in the upstream oil and gas industry. Emission taxes and commitment from the industry has led to significant improvements. Energy consumption and emission to air, especially CO2 and NOx has been reduced by typically between 10 to 30% by relatively simple and cost-effective methods. In parallel, change in design practise for new plants has contributed to similar reductions. This paper outlines the analysis and methods used and the results achieved.

scholarly journals Characterization and Treatment Technologies Applied for Produced Water in Qatar

Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3573
Author(s):  
Hana D. Dawoud ◽  
Haleema Saleem ◽  
Nasser Abdullah Alnuaimi ◽  
Syed Javaid Zaidi
Keyword(s):  
Natural Gas ◽  
Oil And Gas ◽  
Produced Water ◽  
Cost Effective ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Treatment Techniques ◽  
Treatment Technologies ◽  
Oil Gas

Qatar is one of the major natural gas (NG) producing countries, which has the world’s third-largest NG reserves besides the largest supplier of liquefied natural gas (LNG). Since the produced water (PW) generated in the oil and gas industry is considered as the largest waste stream, cost-effective PW management becomes fundamentally essential. The oil/gas industries in Qatar produce large amounts of PW daily, hence the key challenges facing these industries reducing the volume of PW injected in disposal wells by a level of 50% for ensuring the long-term sustainability of the reservoir. Moreover, it is important to study the characteristics of PW to determine the appropriate method to treat it and then use it for various applications such as irrigation, or dispose of it without harming the environment. This review paper targets to highlight the generation of PW in Qatar, as well as discuss the characteristics of chemical, physical, and biological treatment techniques in detail. These processes and methods discussed are not only applied by Qatari companies, but also by other companies associated or in collaboration with those in Qatar. Finally, case studies from different companies in Qatar and the challenges of treating the PW are discussed. From the different studies analyzed, various techniques as well as sequencing of different techniques were noted to be employed for the effective treatment of PW.

The impact of oil and gas infrastructure in marine ecosystems: a global vision for informing decommissioning decisions

2020 ◽  
Vol 60 (2) ◽  
pp. 476
Author(s):  
D. L. McLean ◽  
T. Bond ◽  
J. C. Partridge ◽  
S. Rouse ◽  
M. Love
Keyword(s):  
Oil And Gas ◽  
Research Priorities ◽  
Cost Effective ◽  
Oil And Gas Industry ◽  
Environmental Data ◽  
Research Network ◽  
Gas Industry ◽  
Marine Research ◽  
Geographical Regions ◽  
The Impact

The offshore hydrocarbon basins of the world and their neighbouring countries are faced with an immense decommissioning challenge. Uncertainties in regulation and costs, coupled with limited environmental data, stifle consideration and support for alternative options to full removal. In separate regions, scientists and industry are forming partnerships and commencing research that advances understanding of regional and ecosystem-scale processes, including the habitat value of oil and gas infrastructure. With similar decommissioning-related marine research priorities being identified globally, a more coordinated approach to such research is needed: a global decommissioning marine research network and taskforce. This taskforce would not only be highly cost-effective, but it would also enable consistent approaches to science and management of the marine environment and secure protection and conservation of global marine resources. This network and taskforce would bring together leading scientists and experts in the oil and gas industry to develop an international research program that will significantly advance our understanding of the consequences to ecosystems as a result of decommissioning, as well as identify the differences and commonalities in environment–infrastructure interactions across different geographical regions. The outcomes would support sustainable installation and decommissioning practices worldwide and ensure that policies adhere to international agreements on environmental protection.

A Structured Approach to Supplier Performance Measurement

2000 ◽  
Author(s):  
K. E. W. Coulson ◽  
T. C. Slimmon ◽  
M. A. Murray
Keyword(s):  
Performance Measurement ◽  
Oil And Gas ◽  
Cost Effective ◽  
Oil And Gas Industry ◽  
Line Pipe ◽  
Gas Industry ◽  
Pressure Line ◽  
Delivery Times ◽  
Supplier Performance ◽  
Structured Approach

The start of the new millennium will see companies in the oil and gas industry faced with a dual challenge. Not only will they have to undertake exploration in more demanding terrain and environments, but they also face far more competition in what they previously regarded as their traditional marketplace. The goal of meeting both shareholder and customer needs, while simultaneously attempting to increase market share by becoming more competitive, will be paramount if this success is to be achieved. While a number of strategies have been developed over the last decade in an attempt to achieve and balance these financial goals, the control and reduction of costs play a significant part in all such ‘cost effective’ programs. Past approaches have targeted the organisational structure, internal processes and strategic advantage through acquisitions, mergers and downsizing. However, any gains realised by such programs must be continuously improved upon by implementing innovative approaches to future reductions and controlling costs. Some companies have shifted the focus from internal cost scrutiny to influencing and ultimately controlling external factors of cost. The supply chain offers a tremendous opportunity to drive out costs, one such approach being to partner with the best suppliers of key components to shorten delivery times while minimizing life cycle costs. It is therefore paramount that one distinguishes between those who are simply suppliers and that smaller group who are the best suppliers, all the while fostering a win-win relationship by sharing growth and profitability. This paper will introduce the concepts of the Supplier Performance Measurement Process (SPMP), which NOVA / TransCanada introduced in late 1997 to measure and manage its suppliers’ performance in the provision of a few strategically critical commodities. To provide context for this paper two such commodities, high pressure line pipe and high integrity pipe coatings are addressed in some detail. The application of the process to these commodities alone yielded a capital cost reduction of 6%. The paper explains in practical terms, the steps involved in the implementation of SPMP, and provides a simple process for eliciting feedback on the efficacy of the procurement process.

Opportunities for Energy Efficiency Enhancements in the Oil and Gas Industry using Waste Heat Powered Absorption Chillers

2010 ◽  
Author(s):  
Sahil Popli ◽  
Peter Rodgers ◽  
Valerie Eveloy ◽  
Saleh Al Hashimi ◽  
Reinhard Radermacher ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Oil And Gas ◽  
Waste Heat ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Absorption Chillers

scholarly journals Financial Sustainable Growth Theory as a Result of Interaction with Energy, Environmental and Social Processes (Evidence from Oil and Gas Industry)

2019 ◽  
Vol 23 (2) ◽  
pp. 134-152 ◽  
Author(s):  
A. N. Steblyanskaya ◽  
Zhen Wang ◽  
Z. V. Bragina
Keyword(s):  
Energy Efficiency ◽  
Social Welfare ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Environmental Indicators ◽  
Sustainable Growth ◽  
Gas Industry ◽  
Growth System ◽  
Financial Growth ◽  
Oil And Gas Companies

The research is based on the materials of the largest oil and gas companies in Russia and China, whose total production in each country exceeds 86%. The authors used indicators that are available to the world statistics and relate to the system of sustainable financial growth in Russia and China from 1996 to 2016. The aim of the article is to study the impact of investments in personnel social welfare, energy efficiency and environmental protection on sustainable financial growth of the oil and gas industry. The research objectives are to develop a theory of sustainable financial growth in the oil and gas industry, as well as its assessment and forecasting tools. The authors use the methods of statistical analysis of financial, social, energy and environmental coefficients, and mathematical modeling. They propose a new methodology for calculating the index of the financial sustainable growth system. The authors substantiate the composition and the structure of the sustainable financial growth system of oil and gas companies in Russia and China, as well as the composition of the economic processes that influence or predetermine this growth. The relationship between the subsystem indicators were analyzed in the article. The article substantiates the index of the sustainable financial growth system of oil and gas companies in Russia and China. The authors developed a model for calculating the index of the sustainable financial growth system in the AnyLogic program. The results of the study showed that the factors of the “energy efficiency” and “social subsystem” subsystems affect financial sustainable growth in Russian oil and gas companies, but the financial subsystem is least dependent on the “environment” subsystem. The situation in Chinese oil and gas companies is the opposite: the financial sustainable growth is mostly affected by the factors of the “environment” and “energy efficiency” subsystems. The financial subsystem is least connected with the subsystem of personnel social welfare. Nevertheless, the study proves that in the oil and gas companies in both countries, nonfinancial indicators (each country has its own block) have a positive effect on the financial sustainable growth. According to the authors, the main conclusion is to consider social, energy and environmental indicators that have the strongest influence on the financial sustainable growth in the company’s financial statements. The developed AnyLogic model can be used to predict the index of the sustainable growth system and its management. The results of the study are recommended for the oil and gas corporations of China.

scholarly journals Using Hybrid Machine Learning Methods to Predict and Improve the Energy Consumption Efficiency in Oil and Gas Fields

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jun Li ◽  
Yidong Guo ◽  
Xiangyang Zhang ◽  
Zhanbao Fu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Energy Consumption ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Energy Usage ◽  
Gas Industry ◽  
Learning Machine ◽  
Energy Consumption Prediction ◽  
Consumption Prediction

Oil and gas will remain essential to global economic development and prosperity for decades to come, and the oil and gas industry is an energy-intensive industry. Thus, enhancing energy efficiency for producing oil and gas in oil and gas companies is an important issue. The intelligent energy consumption prediction method with the ability to analyze energy consumption patterns and to identify targets for energy saving proved itself as an effective approach for energy efficiency in many industrial domains. Moreover, prediction of energy consumption enables managers to scientifically plan out the energy usage of energy production and to shift energy usage to off-peak periods. However, it still remains a challenging issue to some degree with the unpredictability and uncertainty caused by various energy consumption behaviors, and this phenomenon is becoming more obvious in the oil and gas company. To this end, in our work, we primarily discussed the forecasting of the energy consumption in the oil and gas company. Firstly, four different forecasting models, support vector machine, linear regression, extreme learning machine, and artificial neural network, were trained on the training dataset and then evaluated by the test dataset. Secondly, in order to enhance the energy consumption prediction accuracy, the combinations of all these four models were examined with the RMSE value by taking the average of two models’ outputs. The outcomes show that these four different models are able to predict energy consumption with good accuracy, but the hybrid model—artificial neural network and extreme learning machine—would present higher accuracy. In addition, the hybrid model is installed in the energy management system of the oil and gas industry to manage oil field energy consumption and improve the efficiency.

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