scholarly journals Canadian Oil Sands Extraction and Upgrading: A Synthesis of the Data on Energy Consumption, CO2 Emissions, and Supply Costs

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6374
Author(s):  
Rui Xing ◽  
Diego V. Chiappori ◽  
Evan J. Arbuckle ◽  
Matthew T. Binsted ◽  
Evan G. R. Davies

As Canadian crude bitumen production from oil sands has increased in recent decades, the nation’s oil and gas industry has become a significant contributor to national greenhouse gas emissions. Canada has developed carbon emission reduction targets to meet its Nationally Determined Contributions and Mid-Century Strategy goals. A detailed profile of energy consumption pathways in the oil sands industry is necessary to identify potential areas of improvement and to monitor progress toward meeting emissions reduction targets. Much of the existing literature for oil sands modeling provides input assumptions with different technological boundaries. For a set of oil sands extraction and upgrading technologies, this study first reviews the literature and then quantifies energy input requirements, CO2 emissions, and operating costs for a set of consistent technological boundaries and energy units. Summary results refer to requirements and costs at the production facility, excluding transportation and blending costs. An energy system diagram of oil sands production that matches these boundaries is provided, which can be used by integrated assessment models, oil sands companies, and government ministries to evaluate the present and future energy consumption and emissions pathways of the oil sands industry.

2020 ◽  
Vol 60 (2) ◽  
pp. 548
Author(s):  
Gavin Thompson

How will the global energy system move sharply towards a pathway compatible with the goals of the Paris Agreement by 2030? Despite great efforts on cost reductions in renewables, alternative technologies, advanced transportation and supportive government policies, progress to date is not enough. The challenge is now one of scalability. Although some technologies required for a 2°C future are economic and proven, many others are not. Optimists look at the cost of solar and wind and say we have all we need to achieve our targets. The reality is that significant additional investment is needed to get them to material scale, globally. And too often huge challenges are downplayed in sectors beyond power and transport, including industry, aviation, shipping, heating and agriculture. Given the criticality of climate change, these multiple challenges must now be addressed. Consequently, any accelerated pace of decarbonisation represents an existential challenge to the oil and gas industry, including in Australia. If companies are to remain investible through the long term, all will need to transition to business models that are aligned with the goals of the Paris Agreement. This paper considers what the path to decarbonisation could look like and how oil and gas companies must respond in order to prosper through the energy transition.


Author(s):  
Christopher Boachie

The energy system studies include a wide range of issues from short term to long term horizons. The decision making chain is fed by input parameters which are usually subject to uncertainties. The art of dealing with uncertainties has been developed in various directions and has recently become a focal point of interest. Decision making is certainly the most important task of Oil and Gas managers and it is often a very difficult one. The purpose of this chapter is to review and investigate the decision making processes under risk and uncertainty of Oil and Gas companies. Questionnaires were distributed to eight Oil and Gas companies in Ghana to solicit their view on decision making under risk and uncertainty. Results indicate that most managers use Maximax, Minimax Regret and Expected Value when making decisions under risk and uncertainty.


2021 ◽  
Vol 73 (03) ◽  
pp. 10-11
Author(s):  
Francois Laborie

I was recently asked if I thought that the oil and gas industry would bounce back once the world is rid of the coronavirus. It was a question prompted by the sharp decline in activity in several oil-and-gas-dependent sectors such as transportation. The coronavirus and its subsequent impact on the price of oil have injected a sense of uncertainty into the industry, prompting many to speculate as to what will happen once the pandemic abates. Rather than asking if we’ll bounce back, I’d prefer we focus on how fast we can learn from the challenges and move forward. The oil and gas industry has come to a point at which there is no turning back. The pressure to transform was mounting long before COVID-19 entered our vocabulary. Recent events only highlight the urgency of it. It is an urgency that stems from new regulation, increasing financial pressure, and growing societal expectations. From the Paris Agreement to the UN’s Sustainable Development Goals, the world has come to terms with the fact that our planet is not immune to human impact and that we need to take measures to mitigate our damage to it. For oil and gas, that means transformation, in both the short and long term, all the while remaining profitable and competitive. In the shorter term, the world is not able to fill the void that going completely fossil-free would create. Oil and gas are still key components of the global energy system, driving both social and economic development in much of the world. That means that while our dependency remains, the extraction of this natural resource and its subsequent processing need to be done as safely, efficiently, and as carbon-friendly as possible. That’s where technology stands to play a pivotal role. For oil and gas operations, achieving near-term, sustainable success will require three things. Optimizing the use of data for increased transparency. There are savings to be had across oil and gas operations. In 2017, global management consultant McKinsey & Company reported that the industry’s performance gap was around $200 billion and that most offshore platforms are only running at 77% of their maximum potential. This means that there is significant ground to be gained. Today, we have the tools available to capture this value, to extract the data, and identify where there is waste and where there is opportunity. This kind of accountability is possible only if you are transparent with your data, which requires the right tools to uncover it, understand it, and share it. Several oil and gas players today have already cracked the code to learn how to use data to ensure more sustainable operations. By gaining an understanding of the inherent power of data flowing through their operations and by embracing transparency around that data, they can harness it to their advantage. Norway-based oil and gas operator Aker BP is one such example. Working with Cognite, it recently implemented machine learning to improve water- contamination detection, saving $6 million per year and reducing the company’s environmental impact. The massive savings for both the companies and the environment was achieved with the smarter and more open use of data.


2010 ◽  
Vol 48 (2) ◽  
pp. 295 ◽  
Author(s):  
Alan Harvie ◽  
And Trent Mercier

This article discusses the impact of the Alberta Land Stewardship Act – enacted by the Government of Alberta with the goal of developing an overarching land use policy to manage all lands and natural resources in the province – on Albertans generally, as well as the oil, gas, and oil sands industries. Although the implementation of the Act is in its early stages, the article nonetheless argues that the Act, and the authority that it grants, will significantly alter the way that land use decisions are made in Alberta and, of specific interest to those in the oil, gas, and oil sands industries, the manner in which proposed projects are reviewed and approved.


1981 ◽  
Vol 19 (1) ◽  
pp. 1 ◽  
Author(s):  
D. R. Pettigrew ◽  
J. C. Bjornson ◽  
Elma K. Spady

Three Alberta lawyers, representing different corporate entities in the oil and gas industry, discuss the approach to and treatment of technology de veloped in relation to oil sands, heavy oil and frontier exploration activ ities. Part One provides an introduction to some of the legal challenges created by new developments in resource technology, and examines the experience of Petro-Canada in its frontier operations. Part Two focusses upon the Syncrude project, and the unique problems to which it has given rise. Part Three discusses the role of the Alberta Oil Sands Technology and Research Authority.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jun Li ◽  
Yidong Guo ◽  
Xiangyang Zhang ◽  
Zhanbao Fu

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.


2005 ◽  
Author(s):  
Alan Harvie ◽  
Terrance M. Hughes

This article identifies and outlines significant regulatory decisions, legislative changes and regulatory policy developments occurring from April 2003 through March 2004 that primarily affect the midstream and upstream oil and gas industry in Canada. It begins by reviewing major National Energy Board (NEB) decisions, including pipeline and powerline applications and recent toll and tariff rulings. The NEB portion of the article outlines important procedural issues, such as Appropriate Dispute Resolution, a new Filing Manual and pre-application meetings with staff members. The article emphasizes the significant impact that NEB decisions have on the Canadian energy industry. The authors also highlight applications in environmentally sensitive or urban areas, special well spacing requests and joint review panel decisions concerning oil sands projects. Directives and guidelines from Alberta Energy and Utilities Board concerning the gas over bitumen issue are mentioned. In addition, the authors examine a series of legislative developments that will impact the industry, including amendments to various statutes and regulations by the Canadian. Alberta and British Columbia governments.


2018 ◽  
Vol 58 (2) ◽  
pp. 493
Author(s):  
Joachim Bamberger ◽  
Ti-Chiun Chang ◽  
Brian Mason ◽  
Amer Mesanovic ◽  
Ulrich Münz ◽  
...  

As our energy systems evolve with the adoption of more variable renewable energy resources, so will our oil and gas industry play a pivotal role in what is expected to be a lengthy transitional phase to a greater mix of renewables with a reliance on fast, reliable gas peaking power generation, which have lower greenhouse gas emissions, and short delivery periods to construct. Oil and gas companies are also rapidly moving towards becoming integrated energy companies supplying a mix of gas, oil, photovoltaic power, wind power and hydrogen, coupling these into the electrical and gas grids. We discuss some of the components and tasks of a distributed energy system in its various system guises that contribute to a more cost effective, reliable and resilient energy system with lower greenhouse gas emissions. We discuss the role that hydrogen will play in the future as oil and gas companies explore alternatives to fossil fuels to address their need to reduce their carbon footprint, substituting or supplementing their conventional gas supply with renewably produced hydrogen. We talk about how Australia with its excellent renewable resources and the opportunity to potentially develop a new industry around the production of renewable fuels, power-to-X, such as hydrogen, with the potential for the oil and gas industry to leverage its existing assets (i.e. gas pipelines) and future embedded renewable assets to produce hydrogen through electrolysis with the intention of supplementing their liquefied natural gas exports with a portion of renewably produced hydrogen.


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