  Large Language Models (LLMs) have shown great potential in solving complex
problems in various fields, including oil and gas engineering and other
industrial engineering disciplines like factory automation, PLC programming
etc. However, automatic identification of strong and weak solutions to
fundamental physics equations governing several industrial processes remain a
challenging task. This paper identifies the limitation of current LLM
approaches, particularly ChatGPT in selected practical problems native to oil
and gas engineering but not exclusively. The performance of ChatGPT in solving
complex problems in oil and gas engineering is discussed and the areas where
LLMs are most effective are presented.
