mlsanityData to 14 Oct 2026

Industrial Engineering with Large Language Models: A case study of ChatGPT's performance on Oil & Gas problems

arXiv 2304.14354 ↗First posted 27 Apr 2023cs.CLcited by 7

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Abstract (arXiv)

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.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 3 of its 13 references that are in the map. First posted on arXiv 27 Apr 2023.

Builds on

3 of 13 references.

References · 3

  1. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
  2. 2023Comparative Analysis of CHATGPT and the evolution of language modelscited by 6
  3. 2023No Code AI: Automatic generation of Function Block Diagrams from documentation and associated heuristic for context-aware ML algorithm trainingcited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 4; 2024: 0; 2025: 2; 2026: 1.

7 papers.

  1. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,242
  2. 2023A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasetscited by 123
  3. 2025Lifelong Learning of Large Language Model based Agents: A Roadmapcited by 83
  4. 2025Domain Specific Benchmarks for Evaluating Multimodal Large Language Modelscited by 3
  5. 2023Large Language Models in Ambulatory Devices for Home Health Diagnostics: A case study of Sickle Cell Anemia Managementcited by 0
  6. 2023ChatGPT & Mechanical Engineering: Examining performance on the FE Mechanical Engineering and Undergraduate Examscited by 0
  7. 2026TADI: Tool-Augmented Drilling Intelligence via Agentic LLM Orchestration over Heterogeneous Wellsite Datacited by 0