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pro vyhledávání: '"Syahrir Ridha"'
Publikováno v:
2020 International Conference on Computational Intelligence (ICCI).
Ordinary and partial differential equations play a significant role across various energy domain as they aid in approximating solution for complex mathematical problems. Drilling optimization and reservoir simulation are some common application that
Application of machine learning tools in drilling hydrocarbon well is still exploratory in its stage. This chapter presents a brief review of various applied research in drilling operations using machine learning (ML) tools and develop a deep neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa40835205b298841402ab12bfd3caeb
https://doi.org/10.4018/978-1-7998-3645-2.ch012
https://doi.org/10.4018/978-1-7998-3645-2.ch012
Publikováno v:
Journal of Petroleum Science and Engineering. 200:108182
The advent of Artificial Intelligence (AI) in the petroleum industry has seen an increase in its use in exploration, development, production, reservoir engineering and management planning to accelerate decision making, reduce cost and time. Supervise
Publikováno v:
Journal of Petroleum Science and Engineering. 195:107818
Fluid loss to subsurface formations is a challenging aspect during drilling operations in petroleum industry. Several other drilling issues such as fluid influx and pipe sticking can be triggered in such scenarios, posturing a significant risk to rig
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 328:012008
A drilling process will not be complete without the usage of a drill bit. Therefore, bit selection is considered to be an important task in drilling optimization process. To select a bit is considered as an important issue in planning and designing a