Lithology and porosity heterogeneity prediction using multiple seismic attributes on 3-d surveys: an example from Edim oil field, Niger delta
نویسندگان
چکیده
منابع مشابه
Support Vector Machine Based Facies Classification Using Seismic Attributes in an Oil Field of Iran
Seismic facies analysis (SFA) aims to classify similar seismic traces based on amplitude, phase, frequency, and other seismic attributes. SFA has proven useful in interpreting seismic data, allowing significant information on subsurface geological structures to be extracted. While facies analysis has been widely investigated through unsupervised-classification-based studies, there are few cases...
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ژورنال
عنوان ژورنال: International Journal of Advanced Geosciences
سال: 2014
ISSN: 2311-7044
DOI: 10.14419/ijag.v2i1.1594