Application of a new hybrid particle swarm optimization-mixed kernels function-based support vector machine model for reservoir porosity prediction: A case study in Jacksonburg-Stringtown oil field, West Virginia, USA

Zhi Zhong,Timothy R. Carr

Application of a new hybrid particle swarm optimization-mixed kernels function-based support vector machine model for reservoir porosity prediction: A case study in Jacksonburg-Stringtown oil field, West Virginia, USA

2019

Zhi Zhong
Timothy R. Carr

AbstractPorosity is a fundamental property that characterizes the storage capability of fluid and gas-bearing formations in a reservoir. An accurate porosity value can be measured from core samples...

Keywords:

Theology
Philosophy
Support vector machine
Mathematical optimization
Oil field
Porosity
Particle swarm optimization
Petroleum engineering
west virginia

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