Abstract
Permeability is a key parameter that affects fluids flow in reservoir and its accurate determination is a significant task. Permeability usually is measured using practical approaches such as either core analysis or well test which both are time and cost consuming. For these reasons applying well logging data in order to obtaining petrophysical properties of oil reservoir such as permeability and porosity is common. Most of petrophysical parameters generally have relationship with one of well logged data. But reservoir permeability does not show clear and meaningful correlation with any of logged data. Sonic log, density log, neutron log, resistivity log, photo electric factor log and gamma log, are the logs which effect on permeability. It is clear that all of above logs do not effect on permeability with same degree. Hence determination of which log or logs have more effect on permeability is essential task. In order to obtaining mathematical relationship between permeability and affected log data, fitting statistical nonlinear models on measured geophysical data logs as input data and measured vertical and horizontal permeability data as output, was studied. Results indicate that sonic log, density log, neutron log and resistivity log have most effect on permeability, so nonlinear relationships between these logs and permeability was done.
Highlights
The permeability is the capability of the penetration of a fluid such as oil, gas or water into the reservoir
That is why the oil engineers are doing their level best to have the best predictions on the permeability of the oil reservoirs by presenting the relevant statistical models
The oil engineers always consider the statistical analyses as an applicable tool to relate the permeability parameter to the well logging data
Summary
The permeability is the capability of the penetration of a fluid such as oil, gas or water into the reservoir. The higher permeability causes the easier penetration of oil and gas into the reservoir rock. In this case, the oil can be extracted with higher rate and lower cost. Different types of the permeability can be classified as absolute, relative and effective. Such definitions have completely been presented in most of studies carried out on this issue. Understanding of the correct values of permeability is considered as an effective tool for oil engineers in the process of production and management of an oil field. Two direct (core and well test analysis) and indirect (geophysical logs assessment) methods are applied to determine the correct values of permeability in the oil industry [1,2,3]
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