Applications of Nanomaterials in the Oil and Gas Industry

2022 ◽  
pp. 173-198
Author(s):  
Kamel Fahmi Bou-Hamdan

The petroleum industry has been an ever-growing industry. New technologies are always being introduced to encompass the challenges that are encountered. Nanomaterials are being included in these technologies to improve the operation of different processes. Their distinctive physical and chemical characteristics encourage their use in different sectors such as the upstream, midstream, and downstream of the oil and gas industry. In this chapter, the nanomaterials that are utilized in the oil and gas industries are highlighted. Their implementation in various applications is also provided. These applications include hydrocarbon exploration, well drilling and completion, production operations, enhanced oil recovery mechanisms, transportation, and refining operations. There is also a discussion about existing problems and possibilities for future uses.

2013 ◽  
Vol 24 ◽  
pp. 7-15 ◽  
Author(s):  
Swaminathan Ponmani ◽  
R. Nagarajan ◽  
Jitendra Sangwai

Oil and Gas industry is going through a phase where there is an increased demand of energy sources (particularly oil and gas) and reduced production due to mature oilfields. There is a need for new technologies which can help improve production from the reservoir and develop new fields. Nanotechnology offers promising solution for the same. Nanotechnology is the study of science of materials at nanoscale which help in enhancing the performance of processes. Nanoparticles are the nanosized materials in the range of 1-100 nm. Nanoparticles have high specific surface area and unique properties, such as high adsorption potential and heat conductivity. These particles when mixed with base fluids, also called as nanofluids, and used for several application related to upstream oil and gas industry, help improve the performance of several processes. The use of nanoparticle in exploration and production is an attractive tool for petroleum engineers that have been improved by many researchers in recent years. This paper discusses about how the nanotechnology plays an important role in an upstream oil and gas industry which includes exploration, drilling, and completion, production and enhanced oil recovery operation.


2016 ◽  
Vol 2 (1) ◽  
pp. 35
Author(s):  
N.K. Nadirov ◽  
S.B. Nurzhanova

<p>In this review, prospects of using the new technologies in oil and gas industry of Kazakhstan are presented. The new technologies for solving of oil recovery of problem, transporting and oil refining depth considered.</p>


2020 ◽  
Vol 72 (12) ◽  
pp. 60-61
Author(s):  
Judy Feder

This article, written by JPT Technology Editor Judy Feder, contains highlights of paper SPE 199498, “Reuse of Produced Water in the Oil and Gas Industry,” by Madeleine Gray, International Petroleum Industry Environmental Conservation Association, prepared for the 2020 SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability, originally scheduled to be held in Bogota, Colombia, 28-30 July. The paper has not been peer reviewed. The onshore oil and gas industry investigates new and improved ways to manage the supply and disposal of produced water continually. Within oil and gas operations, produced water increasingly is being recycled and reused for enhanced oil recovery, drilling, and well stimulation. The growing global demand for water resources also is creating interest in reusing produced water outside oil and gas operations. The complete paper focuses on sources of produced water from conventional and unconventional onshore oil and gas operations and addresses the challenges and opportunities associated with reusing the produced water. Introduction Produced water is water that is brought to surface during oil and natural-gas production. It includes formation, flowback, and condensation water. Produced water varies in composition and volume from one formation to another and is often managed as a waste material requiring disposal. In recent years, increased demand for, and regional variability of, available water resources, along with sustainable water-supply planning, have driven interest in reusing produced water with or without treatment to meet requirements within the industry or by external users. Reuse of produced water can provide important economic, social, and environmental benefits, particularly in water-scarce regions. It can be used for hydraulic fracturing, waterflooding, and enhanced oil recovery, decreasing the demand for other sources of water. However, reuse for offsite, non-oilfield applications such as crop irrigation, wildlife and livestock consumption, industrial processes, and power generation, is subject to a variety of constraints and risks. Practical considerations for offsite reuse include supply and demand and regulatory, infrastructural, economic, legal, social, and environmental factors. Sources, Chemical Properties, and Management of Produced Water The information contained in the paper is based on an internal survey conducted by the International Petroleum Industry Environmental Conservation Association (IPIECA) of 14 of its member companies, interviews with selected external stakeholders covering a range of sectors and geographic regions, and a literature review of readily available information. The external stakeholders were identified from the membership survey as well as from IPIECA and consultant experience. Sources and Volumes. Onshore oil and gas operations generate millions of barrels of produced water each day world-wide. The composition and flow of produced water can differ dramatically from one source to another.


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):  
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?


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.


2021 ◽  
Author(s):  
Cenk Temizel ◽  
Celal Hakan Canbaz ◽  
Hakki Aydin ◽  
Bahar F. Hosgor ◽  
Deniz Yagmur Kayhan ◽  
...  

Abstract Digital transformation is one of the most discussed themes across the globe. The disruptive potential arising from the joint deployment of IoT, robotics, AI and other advanced technologies is projected to be over $300 trillion over the next decade. With the advances and implementation of these technologies, they have become more widely-used in all aspects of oil and gas industry in several processes. Yet, as it is a relatively new area in petroleum industry with promising features, the industry overall is still trying to adapt to IR 4.0. This paper examines the value that Industry 4.0 brings to the oil and gas upstream industry. It delineates key Industry 4.0 solutions and analyzes their impact within this segment. A comprehensive literature review has been carried out to investigate the IR 4.0 concept's development from the beginning, the technologies it utilizes, types of technologies transferred from other industries with a longer history of use, robustness and applicability of these methods in oil and gas industry under current conditions and the incremental benefits they provide depending on the type of the field are addressed. Real field applications are illustrated with applications indifferent parts of the world with challenges, advantages and drawbacks discussed and summarized that lead to conclusions on the criteria of application of machine learning technologies.


2014 ◽  
Vol 54 (2) ◽  
pp. 516
Author(s):  
James MacGinley ◽  
Brad Calleja

In recent years, Australia has gone through an unprecedented expansion in its oil and gas industry. The demand for capital has been enormous and has resulted in some of the largest project debt financings globally. In the coming years, the funding requirement will change dramatically as projects reach completion; become cash-flow positive; and, owners changing their funding structure from project finance debt to lower cost, lower covenant corporate debt. The development of a number of Australia’s largest oil and gas projects during the past five years coincided with a tightening of capital from the traditional project finance market. This lead to the emergence of export credit agency financing as an integral component of project development. During the past year, however, re-capitalisation of global banks are now re-entering the Australian market and are driving competition and increasing liquidity. This extended abstract covers a review of the funding approaches taken on major Australian LNG projects, including lessons from the funding of CSG projects that may be relevant to other new development markets such as shale gas. It also draws on historical lessons of funding new technologies and provide insight about funding of the next wave of LNG development: floating LNG. The National Australia Bank is one of the largest resources project finance banks globally and is well positioned to provide APPEA’s delegates with relevant insight about the future of debt funding in the oil and gas industry.


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