Artificial Intelligence and Robotics in the Oil Industry: Will it Take My Job?

2021 ◽  
Author(s):  
Armstrong Lee Agbaji

Abstract Historically, the oil and gas industry has been slow and extremely cautious to adopt emerging technologies. But in the Age of Artificial Intelligence (AI), the industry has broken from tradition. It has not only embraced AI; it is leading the pack. AI has not only changed what it now means to work in the oil industry, it has changed how companies create, capture, and deliver value. Thanks, or no thanks to automation, traditional oil industry skills and talents are now being threatened, and in most cases, rendered obsolete. Oil and gas industry day-to-day work is progressively gravitating towards software and algorithms, and today’s workers are resigning themselves to the fact that computers and robots will one day "take over" and do much of their work. The adoption of AI and how it might affect career prospects is currently causing a lot of anxiety among industry professionals. This paper details how artificial intelligence, automation, and robotics has redefined what it now means to work in the oil industry, as well as the new challenges and responsibilities that the AI revolution presents. It takes a deep-dive into human-robot interaction, and underscores what AI can, and cannot do. It also identifies several traditional oilfield positions that have become endangered by automation, addresses the premonitions of professionals in these endangered roles, and lays out a roadmap on how to survive and thrive in a digitally transformed world. The future of work is evolving, and new technologies are changing how talent is acquired, developed, and retained. That robots will someday "take our jobs" is not an impossible possibility. It is more of a reality than an exaggeration. Automation in the oil industry has achieved outcomes that go beyond human capabilities. In fact, the odds are overwhelming that AI that functions at a comparable level to humans will soon become ubiquitous in the industry. The big question is: How long will it take? The oil industry of the future will not need large office complexes or a large workforce. Most of the work will be automated. Drilling rigs, production platforms, refineries, and petrochemical plants will not go away, but how work is done at these locations will be totally different. While the industry will never entirely lose its human touch, AI will be the foundation of the workforce of the future. How we react to the AI revolution today will shape the industry for generations to come. What should we do when AI changes our job functions and workforce? Should we be training AI, or should we be training humans?

Significance While many industries have been transformed by the development of such new digital technologies as data analytics and artificial intelligence, the oil and gas industry has been a laggard. That is starting to change as the industry looks to new technologies to help it become more efficient and productive. The oil price downturn, which has put a premium on cost cutting, has accelerated the move to take up new technologies. The opportunity is significant, with a World Economic Forum report (pdf) from earlier this year claiming that the industry could generate 1 trillion dollars in added value over the next decade by embracing digitisation. Impacts Local communities in oil-producing regions face disruption as digitisation reduces employment and puts a premium on high-tech skills. The oil industry will be a significant new market for tech firms working on artificial intelligence, machine learning and automation. Embracing new technologies could help the oil industry attract younger workers, a key challenge as a wave of older talent retires.


Author(s):  
Shubham Parsoya Et.al

Digital transformation in the field of oil and Gas industry is already a significant impact creator. It is actually act like catalyst through which the overall functionality of the oil and gas industry get enhanced and the overall output with the help of technologically-advanced mechanism, increased up to manifold. In the present scenario, the over-all quest is not just about the volume of the oil and petroleum, but it is also regarding the overall value generated throughout the process. And such enhanced level of value generation is taking place with great pace with the help of enhanced level of implementations of different types of technologies in different type of activities related to the oil and gas industry. In the present scenario, oil and gas industry’s business model is no longer depending upon just the inflated and narrow based value-chain mechanism. It is actually depending upon the almost all modernized and futuristic technologies. The modern technologies include big data analytics, 3D printing technology, cyber security, digital marketing, Artificial Intelligence, Internet of Things, drone technologies, database management system, etc. all these technologies are not only supports in handling the overall business capability of the oil and Gas Industries, but also eliminate the overall negative impact generating elements. With the help of technologies and digital transformation, the overall profitability of the oil and gas industry enhanced. Digital transformation is a prominent and significant impact creator which is not limited to the oil and gas industry, but also reaching up to the all-global level Businesses. It is transforming the overall business operations by enhancing the speed of innovation and making the use of practical knowledge base which ultimately enhance the overall power of operations and increase efficiencies. With the emergence of digital transformation technologies especially with the emergence of big data analytics, the Internet of Things and Artificial Intelligence have supports several types of innovative and new ways of developing and transforming the overall market as well as the customer satisfaction in significant manner. All such innovative technologies and digital transformations are contributing significantly in shaping the future of oil and gas industry


2021 ◽  
Author(s):  
Philippe Herve

Abstract The oil and gas sector is facing a changing market with new pressures to which it must learn to adapt. One of the biggest changes in expectations is the increased focus being placed on carbon emissions. Many consumers, investors, and lawmakers see reforms to the oil and gas industry as one of the most important avenues toward reducing carbon emissions and curbing climate change, and accordingly, a large number of companies have already made ambitious pledges towards carbon neutrality. New technologies may offer the best avenue for oil and gas companies to reduce their carbon emissions and meet those neutrality goals. Digital technologies—and in particular, artificial intelligence—can aid in decarbonization even with relatively small investments, primarily by enabling large increases in efficiency and reducing unscheduled downtime and the need for flaring. This paper discusses how artificial intelligence-powered predictive maintenance can be applied to reduce carbon emissions, and a case study illustrating a real-world deployment of this technology.


2021 ◽  
Vol 73 (01) ◽  
pp. 12-13
Author(s):  
Manas Pathak ◽  
Tonya Cosby ◽  
Robert K. Perrons

Artificial intelligence (AI) has captivated the imagination of science-fiction movie audiences for many years and has been used in the upstream oil and gas industry for more than a decade (Mohaghegh 2005, 2011). But few industries evolve more quickly than those from Silicon Valley, and it accordingly follows that the technology has grown and changed considerably since this discussion began. The oil and gas industry, therefore, is at a point where it would be prudent to take stock of what has been achieved with AI in the sector, to provide a sober assessment of what has delivered value and what has not among the myriad implementations made so far, and to figure out how best to leverage this technology in the future in light of these learnings. When one looks at the long arc of AI in the oil and gas industry, a few important truths emerge. First among these is the fact that not all AI is the same. There is a spectrum of technological sophistication. Hollywood and the media have always been fascinated by the idea of artificial superintelligence and general intelligence systems capable of mimicking the actions and behaviors of real people. Those kinds of systems would have the ability to learn, perceive, understand, and function in human-like ways (Joshi 2019). As alluring as these types of AI are, however, they bear little resemblance to what actually has been delivered to the upstream industry. Instead, we mostly have seen much less ambitious “narrow AI” applications that very capably handle a specific task, such as quickly digesting thousands of pages of historical reports (Kimbleton and Matson 2018), detecting potential failures in progressive cavity pumps (Jacobs 2018), predicting oil and gas exports (Windarto et al. 2017), offering improvements for reservoir models (Mohaghegh 2011), or estimating oil-recovery factors (Mahmoud et al. 2019). But let’s face it: As impressive and commendable as these applications have been, they fall far short of the ambitious vision of highly autonomous systems that are capable of thinking about things outside of the narrow range of tasks explicitly handed to them. What is more, many of these narrow AI applications have tended to be modified versions of fairly generic solutions that were originally designed for other industries and that were then usefully extended to the oil and gas industry with a modest amount of tailoring. In other words, relatively little AI has been occurring in a way that had the oil and gas sector in mind from the outset. The second important truth is that human judgment still matters. What some technology vendors have referred to as “augmented intelligence” (Kimbleton and Matson 2018), whereby AI supplements human judgment rather than sup-plants it, is not merely an alternative way of approaching AI; rather, it is coming into focus that this is probably the most sensible way forward for this technology.


2021 ◽  
pp. 251484862110614
Author(s):  
Holly Jean Buck

Can fossil-based fuels become carbon neutral or carbon negative? The oil and gas industry is facing pressure to decarbonize, and new technologies are allowing companies and experts to imagine lower-carbon fossil fuels as part of a circular carbon economy. This paper draws on interviews with experts, ethnographic observations at carbontech and carbon management events, and interviews with members of the public along a suggested CO2 pipeline route from Iowa to Texas, to explore: What is driving the sociotechnical imaginary of circular fossil carbon among experts, and what are its prospects? How do people living in the landscapes that are expected to provide carbon utilization and removal services understand their desirability and workability? First, the paper examines a contradiction in views of carbon professionals: while experts understand the scale of infrastructure, energy, and capital required to build a circular carbon economy, they face constraints in advocating for policies commensurate with this scale, though they have developed strategies for managing this disconnect. Second, the paper describes views from the land in the central US, surfacing questions about the sustainability of new technologies, the prospect of carbon dioxide pipelines, and the way circular carbon industries could intersect trends of decline in small rural towns. Experts often fail to consider local priorities and expertise, and people in working landscapes may not see the priorities and plans of experts, constituting a “double unseeing.” Robust energy democracy involves not just resistance to dominant imaginaries of circular carbon, but articulation of alternatives. New forms of expert and community collaboration will be key to transcending this double unseeing and furthering energy democracy.


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.


1986 ◽  
Vol 39 (11) ◽  
pp. 1687-1696 ◽  
Author(s):  
Jean-Claude Roegiers

The petroleum industry offers a broad spectrum of problems that falls within the domain of expertise of mechanical engineers. These problems range from the design of well production equipment to the evaluation of formation responses to production and stimulation. This paper briefly describes various aspects and related difficulties with which the oil industry has to deal, from the time the well is spudded until the field is abandoned. It attempts to delineate the problems, to outline the approaches presently used, and to discuss areas where additional research is needed. Areas of current research activity also are described; whenever appropriate, typical or pertinent case histories are used to illustrate a point.


Author(s):  
Х. Р. Асхабов ◽  
Р. И. Ахъядов ◽  
Ю. Х. Тарамов ◽  
А. А. Эльмурзаев

В современное время нефтегазовая отрасль обладает большим потенциалом для развития экономики, благодаря чему ее регулированию уделяется внимание на международном уровне. К примеру, стоит упомянуть Организацию стран - экспортеров нефти, которая была создана нефтедобывающими странами в целях контроля квот добычи на нефть. Актуальность публикации заключается в том, что на сегодняшний день нефтяная отрасль продолжает оказывать значительное влияние на экономику стран, чье устойчивое развитие определяется успешным развитием нефтяной промышленности. Рассмотреть, проанализировать и обозначить, на наш взгляд, перспективы эффективного развития отраслей нефтяной промышленности Российской Федерации, по сравнению с развитием нефтяной промышленности гигантов данной отрасли - Саудовской Аравии и Соединенных Штатов Америки, явилось целью исследования в данной статье. In modern times, the oil and gas industry has great potential for the development of the economy, due to which its regulation is paid attention at the international level. For example, it is worth mentioning the Organization of Petroleum Exporting Countries, which was established by oil-producing countries to control oil production quotas. The relevance of the publication is that today the oil industry continues to have a significant impact on the economies of countries whose sustainable development is determined by the successful development of the oil industry. To consider, analyse and outline, in our opinion, the prospects for the effective development of the oil industries of the Russian Federation, in comparison with the development of the oil industry of the following giants of this industry of Saudi Arabia and the United States of America, was the purpose of the study in this article.


2021 ◽  
Author(s):  
Alexander Sitnikov ◽  
Sergei Doktor ◽  
Andrei Margarit

Abstract In the recent years the oil and gas industry has started facing an unprecedented number of challenges. The average return on capital in the industry has deteriorated which results in investor mistrust and costs being higher than ever. Debt capital became two times costlier than for alterative types of energy. More conventional oilfields become depleted and new reserves are usually quite complex to develop. These and other challenges such as intense competition between oil and gas companies, the energy transition agenda as well as the volatility of oil prices in the aftermath of the pandemic are pushing the O&G companies to transform themselves. Gazprom Neft introduced the "Asset of the Future" program in late 2018 as a timely response which was aimed at completely transforming the Upstream business model. The main issue with the transformation was the scale of it, which included 10 subsidiaries (or subs) and more than 200 different processes. In this case traditional approaches such as improving each operation one by one would not suffice as the company sought a rapid and highly efficient implementation of changes. As such the program had to develop a new approach that focused on the integration of all business parts and continuous improvement. Integration of people, technology and processes will lead to better collaboration and as a result - to smarter decisions and better execution.


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