# Will ChatGPT and Related AI-Tools Alter the Future of the Geosciences and Petroleum Engineering?

**Authors:** Ruud Weijermars, Umair bin Waheed, Kanan Suleymanli  
**arXiv:** [2306.02882](https://arxiv.org/abs/2306.02882)  
**Date:** 2023-06-05  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2306.02882v1/

## Key points

- The paper explores the potential of AI tools in enhancing the effectiveness of professional tasks for geoscientists and petroleum engineers
- Guidance is provided on how to use AI-powered commercial platforms that are now readily available to individual users
- The authors present a utility assessment from the research and teaching perspectives of two professors and one student, from geosciences and petroleum engineering departments
- Various applications of AI tools are discussed, including editing poorly written papers using ChatGPT and generating literature reviews for narrow topics in a matter of minutes
- Challenges associated with using AI tools are acknowledged, such as students relying too heavily on ChatGPT-generated text instead of developing good writing skills
- The authors provide their personal implementation workflow for writing scientific papers using AI tools
- Broader applications of AI tools are discussed, such as using avatars and text-to-speech software platforms to produce conference slides with an embedded presentation
- The paper provides valuable insights into how AI tools can enhance the effectiveness of professional tasks for geoscientists and petroleum engineers while avoiding lazy results without any original outcome or effort.

## Summary

This paper explores the potential of Artificial Intelligence (AI) tools in enhancing the effectiveness of professional tasks for geoscientists and petroleum engineers. The authors provide guidance on how to use AI-powered commercial platforms that are now readily available to individual users. The paper presents a utility assessment from the research and teaching perspectives of two professors and one student, from geosciences and petroleum engineering departments. The authors discuss various applications of AI tools, including editing poorly written papers using ChatGPT, which provides linguistic corrections similar to those made by expert technical editors. They also highlight how GPT can generate literature reviews for narrow topics in a matter of minutes, saving students time and allowing them to focus on reading key papers rather than searching for them. The authors acknowledge that there are challenges associated with using AI tools. For instance, they worry that students may abandon attempts to develop good writing skills if they rely too heavily on ChatGPT-generated text. Additionally, screening out machine-generated language is not easy, although Turn-it In claims it can soon recognize and mark-up machine-generated text. To address these issues, the authors provide their personal implementation workflow for writing scientific papers using AI tools. They recommend formulating a problem, obtaining original data, developing a solution method, generating results (graphs, tables), writing individual sections on scraps of paper whenever a spare moment arises and converting handwritten notes to typed text using speech-to-text recognition online platform otter.io to obtain a rough first draft. The authors also discuss broader applications of AI tools such as using avatars and text-to-speech software platforms to produce conference slides with an embedded presentation. They note that while the presentation graphs and text are entirely written by them; they are presented by a professional avatar actor (their puppet) which speaks their text and is visible if needed. The authors acknowledge that it remains to be seen how conference organizers will respond. In conclusion, this paper provides valuable insights into how AI tools can enhance the effectiveness of professional tasks for geoscientists and petroleum engineers while avoiding lazy results without any original outcome or effort.