Artificial General Intelligence (AGI) for the oil and gas industry: a review
CoRR(2024)
摘要
Artificial General Intelligence (AGI) is set to profoundly impact the oil and
gas industry by introducing unprecedented efficiencies and innovations. This
paper explores AGI's foundational principles and its transformative
applications, particularly focusing on the advancements brought about by large
language models (LLMs) and extensive computer vision systems in the upstream
sectors of the industry. The integration of Artificial Intelligence (AI) has
already begun reshaping the oil and gas landscape, offering enhancements in
production optimization, downtime reduction, safety improvements, and
advancements in exploration and drilling techniques. These technologies
streamline logistics, minimize maintenance costs, automate monotonous tasks,
refine decision-making processes, foster team collaboration, and amplify
profitability through error reduction and actionable insights extraction.
Despite these advancements, the deployment of AI technologies faces challenges,
including the necessity for skilled professionals for implementation and the
limitations of model training on constrained datasets, which affects the
models' adaptability across different contexts. The advent of generative AI,
exemplified by innovations like ChatGPT and the Segment Anything Model (SAM),
heralds a new era of high-density innovation. These developments highlight a
shift towards natural language interfaces and domain-knowledge-driven AI,
promising more accessible and tailored solutions for the oil and gas industry.
This review articulates the vast potential AGI holds for tackling complex
operational challenges within the upstream oil and gas industry, requiring
near-human levels of intelligence. We discussed the promising applications, the
hurdles of large-scale AGI model deployment, and the necessity for
domain-specific knowledge in maximizing the benefits of these technologies.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要