Intelligent Well Log Data Analysis: A Comparison Study
نویسندگان
چکیده
In this paper we compare three different soft computing methods used as the well log data analysis model in petroleum engineering. Due to the diversely behaving nature, namely, that each region has a unique geophysical characteristic it is difficult to build a universal model relating the mathematical behaviour of the measured variables. This is the reason why soft computing techniques may be favourable to be applied in such case. We describe, investigate and compare a neural network, a fuzzy, and a neuro-fuzzy based method on a particular real data set.
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تاریخ انتشار 2002