VYGON Consulting investigated the potential of generative AI to assess the chances of success in hydrocarbon exploration (gCoS). The main goal of the study was to test how AI copes with the processing and analysis of geological data, which is usually published in unstructured formats such as scientific articles. The results showed that the use of AI can significantly reduce time and increase the accuracy of geological exploration.
Experts tested the work of neural networks using reports on the Indian Open Area Licensing Program as an example. AI analyzed 50 articles containing information on 830 rock samples and was able to determine a 95 percent probability that one of the areas had a source rock with good properties. At the same time, closed foreign language models such as Claude 3.5 Sonnet and GPT-4 gave better results in terms of data extraction quality than open source and domestic solutions.
VYGON Consulting noted that generative AI is starting to play a significant role in geological exploration, helping to speed up data exploration and analysis. In Russia, where about 50 new fields are discovered every year, the use of such tools can be especially useful, especially in underexplored areas. In the future, we plan to further explore the capabilities of AI in this area, with the aim of increasing the efficiency of geological exploration and creating new tools for data analysis and processing.
Source: Ferra
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