An automatic well planner for complex well trajectories

DOI10.1007/S11004-021-09953-XzbMath1477.86017OpenAlexW3168449951MaRDI QIDQ2066855

Thiago L. Silva, Brage S. Kristoffersen, Mathias C. Bellout, Carl Fredrik Berg

Publication date: 14 January 2022

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-021-09953-x

zbMATH Keywords

artificial neural networksnumerical simulationmachine learningreservoir modelwell parameterizationwell trajectory optimization

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Geostatistics (86A32) Potentials, prospecting (86A20)

Related Items (1)

Efficient well placement optimization under uncertainty using a virtual drilling procedure

Uses Software

• DeMat
• FieldOpt

Cites Work

• Unnamed Item
• Differential evolution. A practical approach to global optimization. With CD-ROM.
• Advances in differential evolution
• FieldOpt
• Introduction to the special issue: Overview of OLYMPUS optimization benchmark challenge
• Well controls and placement optimisation using response-fed and judgement-aided parameterisation: Olympus optimisation challenge

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