Artificial Intelligent Approaches in Petroleum Geosciences
This book presents several intelligent approaches for tackling and solving challenging practical problems facing those in the petroleum geosciences and petroleum industry. Written by experienced academics, this book offers state-of-the-art working examples and provides the reader with exposure to th...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Intelligent Data Analysis Techniques – Machine Learning and Data Mining
- On meta-heuristics in optimization and data analysis. Application to geosciences
- Genetic Programming Techniques with Applications in the Oil and Gas Industry
- Application of Artificial Neural Networks in Geoscience and Petroleum Industry
- On Support Vector Regression to Predict Poisson’s Ratio and Young’s Modulus of Reservoir Rock
- Use of Active Learning Method to determine the presence and estimate the magnitude of abnormally pressured fluid zones: A case study from the Anadarko Basin, Oklahoma
- Active Learning Method for estimating missing logs in hydrocarbon reservoirs
- Improving the accuracy of Active Learning Method via noise injection for estimating hydraulic flow units: An example from a heterogeneous carbonate reservoir
- Well log analysis by global optimization-based interval inversion method
- Permeability estimation in petroleum reservoir by artificial intelligent methods: An overview.
