Recommended Practices for Evaluation and Development of Shale Gas/Oil Reservoirs Over the Asset Life Cycle: Data-Driven Solutions

2018 ◽  
Author(s):  
Robert Kennedy ◽  
Haq Minhas
Keyword(s):  
Life Cycle ◽  
Shale Gas ◽  
Oil Reservoirs ◽  
Data Driven ◽  
Gas Oil ◽  
Recommended Practices

A Novel Approach for Production Transient Analysis of Shale Gas/Oil Reservoirs

2015 ◽  
Author(s):  
Changdong Yang ◽  
Vishal Kumar Sharma ◽  
Akhil Datta-Gupta ◽  
Michael J. King
Keyword(s):  
Shale Gas ◽  
Transient Analysis ◽  
Oil Reservoirs ◽  
Gas Oil ◽  
Novel Approach

Knowledge Discovery Process Models

2012 ◽  
pp. 72-100 ◽  
Author(s):  
Mouhib Alnoukari ◽  
Asim El Sheikh
Keyword(s):  
Life Cycle ◽  
Knowledge Discovery ◽  
Process Model ◽  
Common Factor ◽  
Final Outcome ◽  
Process Models ◽  
Data Driven ◽  
Discovery Process ◽  
The Common ◽  
Discovery Process Models

Knowledge Discovery (KD) process model was first discussed in 1989. Different models were suggested starting with Fayyad’s et al (1996) process model. The common factor of all data-driven discovery process is that knowledge is the final outcome of this process. In this chapter, the authors will analyze most of the KD process models suggested in the literature. The chapter will have a detailed discussion on the KD process models that have innovative life cycle steps. It will propose a categorization of the existing KD models. The chapter deeply analyzes the strengths and weaknesses of the leading KD process models, with the supported commercial systems and reported applications, and their matrix characteristics.

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