Machine Learning Applications in Subsurface Energy Resource Management
State of the Art and Future Prognosis
Gebonden Engels 2022 1e druk 9781032074528Samenvatting
Covers ML applications across multiple application domains (reservoir characterization, drilling, production, reservoir modeling, preventative maintenance, and text mining)
Details the emerging area of unstructured (text and image) data analysis applied across these multiple domains
Offers multiple perspectives from authors representing operating companies, universities, and research organizations
Provides an array of case studies illustrating the latest application of multiple ML techniques in each application domain
Includes a literature review of each state-of-art application domain
Specificaties
Lezersrecensies
Rubrieken
- advisering
- algemeen management
- coaching en trainen
- communicatie en media
- economie
- financieel management
- inkoop en logistiek
- internet en social media
- it-management / ict
- juridisch
- leiderschap
- marketing
- mens en maatschappij
- non-profit
- ondernemen
- organisatiekunde
- personal finance
- personeelsmanagement
- persoonlijke effectiviteit
- projectmanagement
- psychologie
- reclame en verkoop
- strategisch management
- verandermanagement
- werk en loopbaan

