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Artificial Intelligent Approaches in Petroleum Geosciences

By Constantin Cranganu

Artificial Intelligent Approaches in Petroleum Geosciences Computer Science

Artificial Intelligent Approaches in Petroleum Geosciences

0 - Default Title
Description
This book presents cutting-edge approaches to solving practical problems faced by professionals in the petroleum industry and geosciences. With various state-of-the-art working examples from experienced academics, the book offers an exposure to the latest developments in intelligent methods for oil and gas research, exploration, and production. This second edition is updated with new chapters on machine learning approaches, data-driven modelling techniques, and neural networks. The book delves into machine learning approaches, including evolutionary algorithms, swarm intelligence, fuzzy logic, deep artificial neural networks, KNN, decision tree, random forest, XGBoost, and LightGBM. it also analyzes the strengths and weaknesses of each method and emphasizes essential parameters like robustness, accuracy, speed of convergence, computer time, overlearning, and normalization. Integration, data handling, risk management, and uncertainty management are all crucial issues in petroleum geosciences. The complexities of these problems require a multidisciplinary approach that fuses petroleum engineering, geology, geophysics, and geochemistry. Essentially, this book presents an approach for integrating various disciplines such as data fusion, risk reduction, and uncertainty management.
Whether you are a professional or a student, you can greatly benefit from the latest advancements in intelligent methods applied to oil and gas research. This comprehensive and updated book presents cutting-edge approaches and real-world examples that can help you in solving the intricate challenges of the petroleum industry and geosciences.
Product details
Binding:
Paperback
Edition:
2
Number of Pages:
296
Release Date:
2025-07-16
Publication Date:
2025-07-16
Publisher:
Springer International Publishing
Languages:
Original: English
ISBN10:
3031527178
ISBN13:
9783031527173
GPSR Manufacturer Reference:
[email protected]
Weight:
506 g
Height:
155 cm
Width:
235 cm
Thickness:
16 cm
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