Human Factors in Domain Adaptation Within the Oil and Gas Industry

2021 ◽  
Author(s):  
Iraj Ershaghi ◽  
Milad A. Ershaghi ◽  
Fatimah Al-Ruwai

Abstract A serious issue facing many oil and gas companies is the uneasiness among the traditional engineering talents to learn and adapt to the changes brought about by digital transformation. The transformation has been expected as the human being is limited in analyzing problems that are multidimensional and there are difficulties in doing analysis on a large scale. But many companies face human factor issues in preparing the traditional staff to realize the potential of adaptation of AI (Artificial Intelligence) based decision making. As decision-making in oil and gas industry is growing in complexity, acceptance of digital based solutions remains low. One reason can be the lack of adequate interpretability. The data scientist and the end-users should be able to assure that the prediction is based on correct set of assumptions and conform to accepted domain expertise knowledge. A proper set of questions to the experts can include inquiries such as where the information comes from, why certain information is pertinent, what is the relationship of components and also would several experts agree on such an assignment. Among many, one of the main concerns is the trustworthiness of applying AI technologies There are limitations of current continuing education approaches, and we suggest improvements that can help in such transformation. It takes an intersection of human judgment and the power of computer technology to make a step-change in accepting predictions by (ML) machine learning. A deep understanding of the problem, coupled with an awareness of the key data, is always the starting point. The best solution strategy in petroleum engineering adaptation of digital technologies requires effective participation of the domain experts in algorithmic-based preprocessing of data. Application of various digital solutions and technologies can then be tested to select the best solution strategies. For illustration purposes, we examine a few examples where digital technologies have significant potentials. Yet in all, domain expertise and data preprocessing are essential for quality control purposes

2020 ◽  
Vol 26 (1) ◽  
pp. 35-45 ◽  
Author(s):  
A. G. Kazanin

The modern oil and gas industry is heavily dependent on the processes and trends driven by the accelerating digitalization of the economy. Thus, the digitalization of the oil and gas sector has become Russia’s top priority, which involves a technological and structural transformation of all production processes and stages.Aim. The presented study aims to identify the major trends and prospects of development of the Russian oil and gas sector in the context of its digitalization and formation of the digital economy.Tasks. The authors analyze the major trends in the development of the oil and gas industry at a global scale and in Russia with allowance for the prospects of accelerated exploration of the Arctic; determine the best practices of implementation of digital technologies by oil and gas companies as well as the prospects and obstacles for the subsequent transfer of digital technologies to the Russian oil and gas industry.Methods. This study uses general scientific methods, such as analysis, synthesis, and scientific generalization.Results. Arctic hydrocarbons will become increasingly important to Russia in the long term, and their exploration and production will require the implementation of innovative technologies. Priority directions for the development of many oil and gas producers will include active application of digital technologies as a whole (different types of robots that could replace people in performing complex procedures), processing and analysis of big data using artificial intelligence to optimize processes, particularly in the field of exploration and production, processing and transportation. Digitalization of the oil and gas sector is a powerful factor in the improvement of the efficiency of the Russian economy. However, Russian companies are notably lagging behind in this field of innovative development and there are problems and high risks that need to be overcome to realize its potential for business and society.Conclusions. Given the strategic importance of the oil and gas industry for Russia, its sustainable development and national security, it is recommendable to focus on the development and implementation of digital technologies. This is crucial for the digitalization of long-term projection and strategic planning, assessment of the role and place of Russia and its largest energy companies in the global market with allowance for a maximum number of different internal and external factors.


2020 ◽  
Vol 72 (12) ◽  
pp. 33-33
Author(s):  
Chris Carpenter

The final afternoon of the 2020 ATCE saw a wide-ranging virtual special session that covered an important but often overlooked facet of the unfolding digitalization revolution. While the rising wave of digital technology usually has been associated with production optimization and cost savings, panelists emphasized that it can also positively influence the global perception of the industry and enhance the lives of its employees. Chaired by Weatherford’s Dimitrios Pirovolou and moderated by John Clegg, J.M. Clegg Ltd., the session, “The Impact of Digital Technologies on Upstream Operations To Improve Stakeholder Perception, Business Models, and Work-Life Balance,” highlighted expertise taken from professionals across the industry. Panelists included petroleum engineering professor Linda Battalora and graduate research assistant Kirt McKenna, both from the Colorado School of Mines; former SPE President Darcy Spady of Carbon Connect International; and Dirk McDermott of Altira Group, an industry-centered venture-capital company. Battalora described the complex ways in which digital technology and the goal of sustainability might interact, highlighting recent SPE and other industry initiatives such as the GAIA Sustainability Program and reviewing the United Nations Sustainable Development Goals (SDGs). McKenna, representing the perspective of the Millennial generation, described the importance of “agile development,” in which the industry uses new techniques not only to improve production but also to manage its employees in a way that heightens engagement while reducing greenhouse-gas emissions. Addressing the fact that greater commitment will be required to remove the “tougher two-thirds” of the world’s hydrocarbons that remain unexploited, Spady explained that digital sophistication will allow heightened productivity for professionals without a sacrifice in quality of life. Finally, McDermott stressed the importance of acknowledging that the industry often has not rewarded shareholders adequately, but pointed to growing digital components of oil and gas portfolios as an encouraging sign. After the initial presentations, Clegg moderated a discussion of questions sourced from the virtual audience. While the questions spanned a range of concerns, three central themes included the pursuit of sustainability, with an emphasis on carbon capture; the shape that future work environments might take; and how digital technologies power industry innovation and thus affect public perception. In addressing the first of these, Battalora identified major projects involving society-wide stakeholder involvement in pursuit of a regenerative “circular economy” model, such as Scotland’s Zero Waste Plan, while McKenna cited the positives of CO2-injection approaches, which he said would involve “partnering with the world” to achieve both economic and sustainability goals. While recognizing the importance of the UN SDGs in providing a global template for sustainability, McDermott said that the industry must address the fact that many investors fear rigid guidelines, which to them can represent limitations for growth or worse.


2021 ◽  
Author(s):  
Nouf AlJabri ◽  
Nan Shi

Abstract Nanoemulsions (NEs) are kinetically stable emulsions with droplet size on the order of 100 nm. Many unique properties of NEs, such as stability and rheology, have attracted considerable attention in the oil industry. Here, we review applications and studies of NEs for major upstream operations, highlighting useful properties of NEs, synthesis to render these properties, and techniques to characterize them. We identify specific challenges associated with large-scale applications of NEs and directions for future studies. We first summarize useful and unique properties of NEs, mostly arising from the small droplet size. Then, we compare different methods to prepare NEs based on the magnitude of input energy, i.e., low-energy and high-energy methods. In addition, we review techniques to characterize properties of NEs, such as droplet size, volume fraction of the dispersed phase, and viscosity. Furthermore, we discuss specific applications of NEs in four areas of upstream operations, i.e., enhanced oil recovery, drilling/completion, flow assurance, and stimulation. Finally, we identify challenges to economically tailor NEs with desired properties for large-scale upstream applications and propose possible solutions to some of these challenges. NEs are kinetically stable due to their small droplet size (submicron to 100 nm). Within this size range, the rate of major destabilizing mechanisms, such as coalescence, flocculation, and Ostwald ripening, is considerably slowed down. In addition, small droplet size yields large surface-to-volume ratio, optical transparency, high diffusivity, and controllable rheology. Similar to applications in other fields (food industry, pharmaceuticals, cosmetics, etc.), the oil and gas industry can also benefit from these useful properties of NEs. Proposed functions of NEs include delivering chemicals, conditioning wellbore/reservoir conditions, and improve chemical compatibility. Therefore, we envision NEs as a versatile technology that can be applied in a variety of upstream operations. Upstream operations often target a wide range of physical and chemical conditions and are operated at different time scales. More importantly, these operations typically consume a large amount of materials. These facts not only suggest efforts to rationally engineer properties of NEs in upstream applications, but also manifest the importance to economically optimize such efforts for large-scale operations. We summarize studies and applications of NEs in upstream operations in the oil and gas industry. We review useful properties of NEs that benefit upstream applications as well as techniques to synthesize and characterize NEs. More importantly, we identify challenges and opportunities in engineering NEs for large-scale operations in different upstream applications. This work not only focuses on scientific aspects of synthesizing NEs with desired properties but also emphasizes engineering and economic consideration that is important in the oil industry.


The distinctive feature of petroleum businesses is its wide scope. After crude oil or gas extraction, resulting semi-products undergo dozens of transformation stages in supply chains to reach the final customer. Combination of quantity and quality multiplied by external market factors produce price fluctuations that are challenging for world economics. In this regard process management might be carried out to improve supply chain performance and assure the maximum business predictability. However, for such large-scale organizations it requires big effort in operational analysis, process enhancement and process control via information systems which successfully support traditional management in function-oriented organizational structures. This chapter explores the developed engineering matrix that embraces potential methods and tools applicable for oil and gas industry. Additionally, it reveals industrial peculiarities and delivers case studies about Iranian and Hungarian petroleum companies.


2007 ◽  
Vol 47 (1) ◽  
pp. 309 ◽  
Author(s):  
S.I. Mackie ◽  
S.H. Begg ◽  
C. Smith ◽  
M.B. Welsh

Business underperformance in the upstream oil and gas industry, and the failure of many decisions to return expected results, has led to a growing interest over the past few years in understanding the impacts of decisionmaking tools and processes and their relationship to decision outcomes. A primary observation is that different decision types require different decision-making approaches to achieve optimal outcomes.Optimal decision making relies on understanding the types of decisions being made and tailoring the type of decision with the appropriate tools and processes. Yet the industry lacks both a definition of decision types and any guidelines as to what tools and processes should be used for what decisions types. We argue that maximising the chances of a good outcome in real-world decisions requires the implementation of such tailoring.


2020 ◽  
Vol 60 (1) ◽  
pp. 215
Author(s):  
Ricky Thethi ◽  
Dharmik Vadel ◽  
Mark Haning ◽  
Elizabeth Tellier

Since the 2014 oil-price downturn, the offshore oil and gas industry has accelerated implementation of digital technologies to drive cost efficiencies for exploration and production operations. The upstream offshore sector comprises many interfacing disciplines such as subsurface, drilling and completions, facilities and production operations. Digital initiatives in subsurface imaging, drilling of subsea wells and topsides integrity have been well publicised within the industry. Integrity of the subsea infrastructure is one area that is currently playing catch up in the digital space and lends itself well for data computational efficiencies that artificial-intelligence technologies provide, to reduce cost and lower the risk of subsea equipment downtime. This paper details digital technologies employed in the area of subsea integrity management to meet the objectives of centralising access to critical integrity data, automating workflows to collect and assess data, and using machine learning to perform more accurate and faster engineering analysis with large volumes of field-measured data. A comparison of a typical subsea field is presented using non-digital and digital approaches to subsea integrity management (IM). The comparison demonstrates where technologies such as digital twins for dynamic structures, and auto anomaly detection by using image recognition algorithms can be deployed to provide a step change in the quality of subsea integrity data coming from field. It is demonstrated how the use of a smart IM approach, combined with strong domain knowledge in subsea engineering, can lead to cost efficiencies in operating subsea assets.


2014 ◽  
Vol 32 (4) ◽  
pp. 687-697 ◽  
Author(s):  
Martine B. Hannevik ◽  
Jon Anders Lone ◽  
Roald Bjørklund ◽  
Cato Alexander Bjørkli ◽  
Thomas Hoff

Author(s):  
Dinora Ishmanova

In recent years, the oil and gas industry of Uzbekistan has been developing very fast, and oil and gas production has grown significantly. Uzbekistan achieved oil independence. Natural gas fields in the Republic are being exported to foreign countries as well as satisfying the needs of all types of industrial enterprises and population. Growth of oil and gas extraction is achieved by opening up of new oil and gas constructions and fields, increasing the efficiency of mining operations, and applying new methods of increasing the level of resource utilization. Determining the ultimate goal of socio-economic transformations in our country is the starting point of the current reform strategy. At the same time, the focus is on ensuring the dynamic development of the fuel and energy complex, increasing oil and gas extraction and processing, and gaining energy independence of the republic. LUKOIL is one of the world's largest vertically -Integrated companies engaged in the extraction and processing of oil and gas, manufacturing of petroleum products and petrochemicals. The main areas of its activity, the Company holds a leading position in the Russian and global markets.


Sign in / Sign up

Export Citation Format

Share Document