Cloud Computing in Geoscience: Mysteries, Miseries and Benefits

2020 ◽  
pp. 1-25
Author(s):  
Dimitris Oikonomou ◽  
Ehsan Zabihi Naeini ◽  
Behzad Alaei ◽  
Eirik Larsen

Cloud computing has become an integral part of our daily life and work. In the oil and gas industry, cloud computing is becoming increasingly attractive to experts, operators and software companies. However, we believe there is still some level of mystery for many geoscientists in what cloud computing can actually offer, what the pros and cons are and how it is different to the preceding technologies. We attempt to explain some of the mysteries around the concept of cloud computing and furthermore discuss the benefits and shortcomings of cloud for the oil and gas industry.

Author(s):  
Grethe O. Ose ◽  
Trygve J. Steiro

Abstract Integrated operations (IO) is an ongoing change process in the oil and gas industry. New technological opportunities enable working in new ways that involve an integration of onshore and offshore personnel. This paper analyzes the results of two rounds of data gathering in an onshore drilling support center, in terms of the development of resilience. The first round took place in 2004/2005 and the second in 2012. This study presents a framework for the analysis of resilience and has used the case company as a mean of testing the framework. Our findings indicate that the support center has taken a huge step in the direction of becoming more resilient. The drilling company has tested a number of designs and sizes of support centers, each of which has different pros and cons. For the drilling discipline to develop resilience, it is essential that the number of rigs supported by a center is not too large, as they must not become involved in too many rigs and drilling operations. Our findings also indicate that the suggested framework provides a good overall picture of the development of resilience in the case company.


2020 ◽  
Vol 17 (2) ◽  
pp. 893-901
Author(s):  
Naqiyatul Amirah Mohd Said ◽  
Nur Emma Mustaffa ◽  
Hamizah Liyana Tajul Ariffin

Engineering, Procurement, and Construction Contract is a project delivery method in the oil and gas industry. However, the complexity of Engineering, Procurement and Construction projects inevitably leads to issues of project management, risk and technical to occur. Therefore, oil and gas players demand a course of action in minimizing the issues arise in this project. Digitalization in the oil and gas trade indeed offers benefits in the upstream value chain of exploration, development, and production, which Engineering, Procurement and Construction projects take place. Oil and gas companies had been focusing too much on digitizing technical work until the non-technical aspect has been abandoned. Therefore, this study presents and discusses the issues in Engineering, Procurement and Construction contract specifically in the Malaysian oil and gas industry. This is a descriptive study and the methodology used is essentially based on the review of the literature in relation to Engineering, Procurement and Construction contract and the findings of a pilot study in relation to Engineering, Procurement and Construction contract and cloud computing. The analysis revealed that the characteristics of cloud computing in relation to the adoption of Engineering, Procurement and Construction contract helps in empowering collaboration among stakeholders, allow oil and gas companies work highly automated, improve the performance of upstream oil and gas industry, improve speed and minimize financial risks, delayed in schedule as well as improving the quality of the project.


2021 ◽  
Author(s):  
Emmanuel Ayodele ◽  
Oshogwe Akpogomeh ◽  
Freda Amuah ◽  
Gloria Maduabuchi

Abstract Nigeria has oil and gas as her major source of revenue, accounting for more than 80% of her foreign exchange, with the AfCFTA, that has been signed and ratified not just by Nigeria but by other African countries taking away tariffs on goods and services produced across the continent irrespective of the market where it's been sold. The AfCFTA being the second largest free trade agreement in the history of World Trade Organization is aimed at uniting African markets. This paper aims to review the framework of the continental free trade agreement, it pros and cons, its grey area, and its impact on the Oil and Gas Industry in Nigeria. The impact of the agreement on the local industries servicing the oil and gas industry is considered as well. The paper reviews the possible advantage of the AfCFTA on the Nigerian oil and gas market. The possible threats to nationalization in the oil and gas industry due to the availability of cheap labour and technical expertise across the continent in the country is analyzed. Solutions to protect the oil and gas industry in Nigeria is recommended as well.


2021 ◽  
Author(s):  
Ethar H. K. Alkamil ◽  
Ammar A. Mutlag ◽  
Haider W. Alsaffar ◽  
Mustafa H. Sabah

Abstract Recently, the oil and gas industry faced several crucial challenges affecting the global energy market, including the Covid-19 outbreak, fluctuations in oil prices with considerable uncertainty, dramatically increased environmental regulations, and digital cybersecurity challenges. Therefore, the industrial internet of things (IIoT) may provide needed hybrid cloud and fog computing to analyze huge amounts of sensitive data from sensors and actuators to monitor oil rigs and wells closely, thereby better controlling global oil production. Improved quality of service (QoS) is possible with the fog computing, since it can alleviate challenges that a standard isolated cloud can't handle, an extended cloud located near underlying nodes is being developed. The paradigm of cloud computing is not sufficient to meet the needs of the already extensively utilized IIoT (i.e., edge) applications (e.g., low latency and jitter, context awareness, and mobility support) for a variety of reasons (e.g., health care and sensor networks). Couple of paradigms just like mobile edge computing, fog computing, and mobile cloud computing, have arisen in recently to meet these criteria. Fog computing helps to optimize services and create better user experiences, such as faster responses for critical, time-sensitive needs. At the same time, it also invites problems, such as overload, underload, and disparity in resource usage, including latency, time responses, throughput, etc. The comprehensive review presented in this work shows that fog devices have highly constrained environments and limited hardware capabilities. The existing cloud computing infrastructure is not capable of processing all data in a centralized manner because of the network bandwidth costs and response latency requirements. Therefore, fog computing demonstrated, instead of edge computing, and referred to as "the enabling technologies allowing computation to be performed at the edge of the network, on downstream data on behalf of cloud services and upstream data on behalf of IIoT services" (Shi et al., 2016) is more effective for data processing when data sources are close together. A review of fog and cloud computing literature suggests that fog is better than cloud computing because fog computing performs time-dependent computations better than cloud computing. The cloud is inefficient for latency-sensitive multimedia services and other time-sensitive applications since it is accessible over the internet, like the real-time monitoring, automation, and optimization of petroleum industry operations. As a result, a growing number of IIoT projects are dispersing fog computing capacity throughout the edge network as well as through data centers and the public cloud. A comprehensive review of fog computing features is presented here, with the potential of using it in the petroleum industry. Fog computing can provide a rapid response for applications through preprocess and filter data. Data that has been trimmed can then be transmitted to the cloud for additional analysis and better service delivery.


Author(s):  
R.G. Alakbarov ◽  
◽  
M.A. Hashimov ◽  

The paper deals with the migration of SCADA (Supervisory Control and Data Acquisition) systems widely used in the monitoring and management of the oil and gas industry to the cloud computing environment. There arise various problems in data collection, transmission, and processing because of traditional SCADA systems being very expensive, inflexible, and complicated scalability. The transferring of the SCADA system's applications to the cloud environment reduces costs and improves scalability. The purchase of hardware and software is carried out at a lower cost than its installation and maintenance. In the article, the usage of cloud-based SCADA systems has been proposed for easy, safe, reliable and quick collection and processing of data from facilities installed in the oil and gas industry.


2016 ◽  
Vol 07 (1) ◽  
pp. 9-22
Author(s):  
Ramiz Aliguliyev ◽  
◽  
Yadigar Imamverdiyev ◽  
Fargana Abdullayeva ◽  
◽  
...  

2021 ◽  
Vol 73 (11) ◽  
pp. 8-9
Author(s):  
Pam Boschee

Begin a conversation about jobs in the oil and gas industry with people employed in the sector, or who have left their jobs voluntarily or involuntarily, and then settle in for a lengthy (maybe even heated) discussion of the pros and cons. Job availability, compensation, working conditions, opportunities for advancement, and work/life balance all come into play. But what does the employment in our industry look like after the tumultuous past 18 months? The US Department of Labor report released in early October showed the total of the monthly incremental increases since January 2021 was 7,400 in September, bringing the number of people employed in the US oil and gas industry from 133,000 to 140,400. This is nearly back to the level seen at the end of 2019 (142,500) but nowhere near the peak of October 2014 when nearly 201,000 people were employed (Table 1). The reasons for the lower levels of employment are many, among the most glaring are the industry downturns in 2016 and another in 2020 because of the global effects of the pandemic. As SPE President Kamel Ben-Naceur writes this month, the downturns brought with them a pullback in upstream spending of 26% in 2016 and 31% last year. As a result, cost cutting included the cancellation or delay of capital projects, selling of assets, and mergers and acquisitions to wring out savings wherever possible, ultimately also cutting headcounts. Also playing a significant role are technological advances and efficiency gains achieved in the things that make our industry hum. For example, automation of equipment such as rigs and the remarkable leaps in digitization in all functions, be it monitoring, modeling, or data interpretation and analysis. All disciplines have been touched by these advancements. And it cannot be ignored that retirements and attrition also contributed to the numbers, many of which were decisions made as the downturns took their toll. Fig. 1 shows the most recent breakdown of the 10 occupations accounting for the most employees in the oil and gas sector (May 2020). The numbers total 56,060, accounting for 44% of the total shown in the table for the same month (133,100). Leading the tally are petroleum engineers, accountants and auditors, and wellhead pumpers. While the numbers may have changed since May 2020, the graph serves as an indicator of the roles sustaining the industry. Providing another comparison, Fig. 2 shows the changes in industry employment globally. Even though the collection of the data may not have used the same criteria as the US Bureau of Labor, the figure shows the comparative decreases in 2021 compared with 2019. Is it realistic to think the peak could be seen again? For all industries, the dynamics of unexpected change and the need for quick adaptation are often unpredictable. No one predicted the global effects the pandemic would bring upon people, business, and trade, or how long they would linger. Many crystal balls were cloudy or shattered. The global move to cleaner energy sources to meet climate goals also affected the types of employment. As the transition progresses, it remains to be seen how roles will shift or change along with business strategies. Demand remains strong and the levels of investment low. The foreseeable short-term (possibly longer?) supply/demand imbalance also provides possibilities for roles in managing demand to ensure energy security, upskilling, and digital, among others. So, back to the question: Is it realistic to think the peak of 2014 could be seen again? Perhaps as the industry’s settling in for the long haul (if that is possible) continues, the types of jobs will change and a peak of employees in the “energy” industry will achieve or bypass the historical peak. Disclaimer: My crystal ball offers no more clarity in prognostications than others.


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