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Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models.
Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn fro...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Newark :
John Wiley & Sons, Incorporated,
2017.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover ; Title Page ; Copyright ; Contents ; Foreword ; Preface ; Acknowledgments; Chapter 1: Introduction to Data-Driven Concepts ; Introduction ; Current Approaches ; Is There a Crisis in Geophysical and Petrophysical Analysis? ; Applying an Analytical Approach.
- What Are Analytics and Data Science? Meanwhile, Back in the Oil Industry ; How Do I Do Analytics and Data Science? ; What Are the Constituent Parts of an Upstream Data Science Team? ; A Data-Driven Study Timeline ; What Is Data Engineering? ; A Workflow for Getting Started.
- Is It Induction or Deduction? References ; Chapter 2: Data-Driven Analytical Methods Used in E & P ; Introduction ; Spatial Datasets ; Temporal Datasets ; Soft Computing Techniques ; Data Mining Nomenclature ; Decision Trees ; Rules-Based Methods ; Regression.
- Classification Tasks Ensemble Methodology ; Partial Least Squares ; Traditional Neural Networks: The Details ; Simple Neural Networks ; Random Forests ; Gradient Boosting ; Gradient Descent ; Factorized Machine Learning ; Evolutionary Computing and Genetic Algorithms.
- Artificial Intelligence: Machine and Deep Learning References ; Chapter 3: Advanced Geophysical and Petrophysical Methodologies ; Introduction ; Advanced Geophysical Methodologies ; How Many Clusters? ; Case Study: North Sea Mature Reservoir Synopsis.