Intelligent Digital Oil and Gas Fields Concepts Collaboration and Right Time Decisions 1st Edition by Gustavo Carvajal, Stan Cullick, Marko Maucec 0128046422 9780128046425
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Product details:
ISBN 10: 0128046422
ISBN 13: 9780128046425
Author: Gustavo Carvajal, Stan Cullick, Marko Maucec
Intelligent Digital Oil and Gas Fields: Concepts, Collaboration, and Right-time Decisions delivers to the reader a roadmap through the fast-paced changes in the digital oil field landscape of technology in the form of new sensors, well mechanics such as downhole valves, data analytics and models for dealing with a barrage of data, and changes in the way professionals collaborate on decisions. The book introduces the new age of digital oil and gas technology and process components and provides a backdrop to the value and experience industry has achieved from these in the last few years.
The book then takes the reader on a journey first at a well level through instrumentation and measurement for real-time data acquisition, and then provides practical information on analytics on the real-time data. Artificial intelligence techniques provide insights from the data. The road then travels to the “integrated asset” by detailing how companies utilize Integrated Asset Models to manage assets (reservoirs) within DOF context. From model to practice, new ways to operate smart wells enable optimizing the asset.
Intelligent Digital Oil and Gas Fields Concepts Collaboration and Right Time Decisions 1st Table of contents:
Chapter One: Introduction to Digital Oil and Gas Field Systems
Abstract
1.1 What is a Digital Oil and Gas Field?
1.2 DOF Key Technologies
1.3 The Evolution of DOF
1.4 DOF Operational Levels and Layers
1.5 Main Components of the DOF
1.6 The Value of a DOF Implementation
1.7 Financial Potential of a DOF Implementation
1.8 Tables Summarizing Major DOF Projects
Chapter Two: Instrumentation and Measurement
Abstract
Acknowledgments
2.1 Instrumentations for Measurement: Gauges and Flowmeters
2.2 Control Technology by Field Types
2.3 Data Gathering and SCADA Architecture
2.4 Special Note on Cybersecurity
Chapter Three: Data Filtering and Conditioning
Abstract
3.1 DOF System Data Validation and Management
3.2 Basic System for Cleansing, Filtering, Alerting, and Conditioning
3.3 Conditioning
3.4 Conclusions
Chapter Four: Components of Artificial Intelligence and Data Analytics
Abstract
4.1 Introduction
4.2 Intelligent Data Analytics and Visualization
4.3 Applications to Digital Oil and Gas Fields
Chapter Five: Workflow Automation and Intelligent Control
Abstract
5.1 Introduction to Process Control
5.2 Preparation of Automated Workflows for E&P
5.3 Virtual Multiphase Flow Metering-Based Model
5.4 Smart Production Surveillance for Daily Operations
5.5 Well Test Validation and Production Performance in Right Time
5.6 Diagnostics and Proactive Well Optimization With a Well Analysis Model
5.7 Advisory and Tracking Actions
Chapter Six: Integrated Asset Management and Optimization Workflows
Abstract
6.1 Introduction to IAM and Optimization
6.2 Optimization Approaches
6.3 Advanced Model Calibration With Assisted History Matching
6.4 Optimization of Modern DOF Assets
Chapter Seven: Smart Wells and Techniques for Reservoir Monitoring
Abstract
7.1 Introduction to Smart Wells
7.2 Types of Down-Hole Valves
7.3 Surface Data Acquisition and Control
7.4 Smart Well Applications
7.5 Smart Well Performance
7.6 Smart Well Modeling and Control
7.7 Optimizing Field Production With Smart Wells
7.8 Smart Improved Oil Recovery/Enhanced Oil Recovery Management
Chapter Eight: Transitioning to Effective DOF Enabled by Collaboration and Management of Change
Abstract
8.1 Transition to DOF
8.2 Collaborative Work Environment
8.3 Management of Change
8.4 Conclusion
Chapter Nine: The Future Digital Oil Field
Abstract
9.1 Ubiquitous Sensors (IIoT)
9.2 Data Everywhere
9.3 Next-Generation Analytics
9.4 Automation and Remote Control
9.5 Knowledge Everywhere: Knowledge Capture and People Resources
9.6 Integrated Reservoir Decisions
9.7 Collaboration, Mobility, and Machine-Human Interface
9.8 Summing Up and Looking Ahead
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