In view of the technical requirements of reservoir stimulation, the research progress and application of artificial intelligence and big data technology in the field of reservoir stimulation are expounded, and the development direction and development focus of artificial intelligence technology in the field of reservoir stimulation are discussed and prospected in the future. Machine learning has been initially applied in post-fracture production prediction, geomechanical parameter regression, real-time fracturing dynamic prediction, etc., and has shown great potential; deep learning technology has achieved results in post-fracture effect evaluation, closure pressure measurement, etc.; optimization technology It is also used in fracturing optimization design, construction parameter optimization and so on. In the future, the development direction of artificial intelligence in the field of reservoir stimulation will be intelligent inversion of fracture monitoring, intelligent fracturing optimization design software, data-driven fracturing design and production prediction, etc.
CITATION STYLE
Liu, Z., Lei, Q., Weng, D. W., Wang, X., & Yang, L. F. (2023). Application Progress of Artificial Intelligence and Big Data in Hydraulic Fracturing. In Springer Series in Geomechanics and Geoengineering (pp. 6995–7015). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-1964-2_595
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