Affiliation:
1. Kazan Federal University
Abstract
The article describes the project being developed for the digital scientific platform “Aggregator of unstructured geological and field data”, which could potentially be important for the oil and gas industry. The use of new intelligent technologies within the framework of this project will significantly improve the efficiency of processing, storage and use of geological and field information contained in various text sources, mainly in field reports.
The main goal of developing a digital scientific platform is to integrate heterogeneous information about the objects of subsurface exploration, which is extracted from reports on deposits of the Republic of Tatarstan. This will create a consolidated database that will become the basis for making informed decisions in the oil and gas sector. The project of the digital scientific platform includes the development of architecture, algorithms and software solutions based on modern methods of text processing and data mining.
Reference12 articles.
1. Abdelhamid K., Ammar T.B., Laid K. (2022). Artificial Intelligent in Upstream Oil and Gas Industry: A Review of Applications, Challenges and Perspectives. Artificial Intelligence and Its Applications. AIAP 2021. Lecture Notes in Networks and Systems, vol. 413. Lejdel B., Clementini E., Alarabi L. (eds). Springer, Cham. https://doi.org/10.1007/978-3-030-96311-8_2424
2. Consoli B., Santos J., Gomes D., Cordeiro F., Vieira R., Moreira V. (2020). Embeddings for Named Entity Recognition in Geoscience Portuguese Literature. Proc. 12th Conference on Language Resources and Evaluation (LREC 2020), Marseille, 11–16 May 2020. https://aclanthology.org/2020.lrec-1.568.pdf
3. Chengbin Wang, Yuanjun Li, Jianguo Chen, Xiaogang Ma (2023). Named entity annotation schema for geological literature mining in the domain of porphyry copper deposits. Ore Geology Reviews, 152, 105243. https://doi.org/10.1016/j.oregeorev.2022.105243
4. Choubey S., Karmakar G.P. (2021). Artificial intelligence techniques and their application in oil and gas industry. Artif Intell Rev, 54, pp. 3665–3683. https://doi.org/10.1007/s10462-020-09935-1
5. Deloitte Analysis Report (2019). Digital transformation of oil and gas sector. https://www.petrotech.in/static/pdf/Theme-Session-Deloitte.pdf