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.

翻译：大型语言模型在解决石油天然气工程以及工厂自动化、PLC编程等工业工程领域的复杂问题中展现出巨大潜力。然而，针对控制多种工业过程的基础物理方程，自动识别强解与弱解仍是一项具有挑战性的任务。本文识别了当前大型语言模型方法（特别是ChatGPT）在石油天然气工程特有（但非仅限于此）的若干实际问题中的局限性，探讨了ChatGPT在解决石油天然气工程复杂问题时的表现，并指出了大型语言模型最有效的应用领域。