dBG Earth Sciences has launched a consortium to investigate machine learning, combining its open source seismic interpretation suite OpendTect with data stored in an OSDU database. The aim is to demonstrate in a series of proprietary case studies ‘what the future of E&P data management looks like and how machine learning models can add value to a standardized, cleaned-up datastore containing well and seismic data’. More from dGB Earth Sciences.
The University of Houston,
under the leadership of former SEG president Fred Aminzadeh, has
launched the AIM-DEEP program. AIM-DEEP is developing a platform to
promote AI/ML in E&P, bringing operators, service companies, data
scientists and academia together. AIM-DEEP is billed as not ‘yet
another’ university consortium. R&D topics will be prioritized by
‘base’ member/sponsors who will receive all deliverables. Individually
sponsored project (ISP) membership is also available for targeted
R&D into a chosen focus area. AIM-DEEP vendor partners are
Petrolern, Sotaog, NEC, Enfinitech and … dBG Earth Sciences.More from AIM-DEEP.
* Artificial Intelligence, (AI) Machine Learning and Data Analytics (DA).
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