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This talk will give a brief overview of applications of artificial intelligence (AI), machine learning and data analytics (DA) methods for different exploration and production problems. Several topics such as big data, soft computing, natural language processing, man-machine interface and deep learning will be highlighted.
Selected case histories from each of the main stages of the E&ampP process, namely exploration, drilling/development and production/EOR using AI-DA will be highlighted. The talk will conclude with introducing a new program at UH that focuses on Artificial Intelligence Machine Learning and Data Analytics for Energy Exploration and Production or AIM-DEEP.
We will demonstrate the value proposition of AIM-DEEP based on its multi-disciplinary nature and its focus on the academic and industry alliance, complemented by government funding.
Preface
Introduction to Modern Intelligent Data Analysis
Machine Learning and Human Computer Interface
Artificial Neural Networks
Fuzzy Logic
Integration of Conventional and Unconventional Methods
Natural Language Processing
Data Science and Big Data Analytics
Applications of Machine Learning in Exploration
Applications in Oil and Gas Drilling
Applications in Reservoir Characterization and Field Development Optimization
Machine Learning Applications in Production Forecasting
Applications in Production Optimization, Well Completion and Stimulation
Machine Learning Applications in Reservoir Engineering and Reservoir Simulation
Machine Learning Applications in Artificial Lift
Machine Learning Applications in Enhanced Oil Recovery (EOR)
Conclusions and Future Directions