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

自动化 石油工业 机器人学 机器人 人工智能 工作(物理) 新兴技术 工业革命 计算机科学 工业4.0 工程类 工程管理 业务 政治学 法学 机械工程 嵌入式系统 环境工程
作者
Armstrong Lee Agbaji
标识
DOI:10.2118/204643-ms
摘要

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?

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
3秒前
科研通AI2S应助ramu采纳,获得10
3秒前
八宝粥完成签到,获得积分10
4秒前
Estrella应助轻松乐枫采纳,获得10
6秒前
7秒前
文献嘤完成签到,获得积分10
8秒前
大模型应助wuniuniu采纳,获得10
8秒前
8秒前
9秒前
bobo完成签到,获得积分10
10秒前
10秒前
合适的凝海完成签到,获得积分10
10秒前
12秒前
在水一方应助科研通管家采纳,获得10
12秒前
12秒前
李健应助科研通管家采纳,获得10
12秒前
19应助科研通管家采纳,获得10
12秒前
酷波er应助科研通管家采纳,获得10
12秒前
充电宝应助科研通管家采纳,获得10
12秒前
思源应助科研通管家采纳,获得10
12秒前
完美世界应助科研通管家采纳,获得10
13秒前
情怀应助科研通管家采纳,获得10
13秒前
sirius应助xuwan采纳,获得10
13秒前
科研通AI2S应助科研通管家采纳,获得10
13秒前
SciGPT应助科研通管家采纳,获得10
13秒前
Iamrobot应助科研通管家采纳,获得200
13秒前
大模型应助科研通管家采纳,获得10
13秒前
Owen应助科研通管家采纳,获得10
13秒前
不配.应助科研通管家采纳,获得10
13秒前
晴漾完成签到 ,获得积分10
13秒前
13秒前
明亮的冬天完成签到,获得积分10
14秒前
14秒前
CodeCraft应助1485155145采纳,获得10
15秒前
无辜忆寒完成签到,获得积分10
15秒前
NexusExplorer应助方大帅采纳,获得10
15秒前
万木春完成签到 ,获得积分10
20秒前
20秒前
21秒前
高分求助中
Earth System Geophysics 1000
Studies on the inheritance of some characters in rice Oryza sativa L 600
《关于整治突出dupin问题的实施意见》(厅字〔2019〕52号) 500
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
Language injustice and social equity in EMI policies in China 500
mTOR signalling in RPGR-associated Retinitis Pigmentosa 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3207077
求助须知:如何正确求助?哪些是违规求助? 2856482
关于积分的说明 8105015
捐赠科研通 2521596
什么是DOI,文献DOI怎么找? 1354957
科研通“疑难数据库(出版商)”最低求助积分说明 642125
邀请新用户注册赠送积分活动 613343