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Fault Detection Using Ant-tracking Attribute in One of Southern Offshore Iranian Fields and Comparison with Other Related Attributes.

عنوان مقاله: Fault Detection Using Ant-tracking Attribute in One of Southern Offshore Iranian Fields and Comparison with Other Related Attributes.
شناسه ملی مقاله: IOGPC17_065
منتشر شده در چهاردهمین همایش بین المللی نفت، گاز و پتروشیمی در سال 1389
مشخصات نویسندگان مقاله:

seyyed hossein hashemi - directorate NIOC, geophysics dep
mohammadreza sokouti
seyed abolfaz miri

خلاصه مقاله:
fault detection is one of most important steps in seismic interpretation either in exploration or in development phase . There are a variety of seismic attributes enhancing fault visualization and detection already used by interpreters . The ant -tracking attribute is improved by schlumberger and is commercially available in petrel soft ware.it emulates the behavior of ant colonies in nature and how they use pheromones to mark their paths in order to optimize the search for food. what we have done is working on ant -tracking attribute which is a very powerful attribute in fault detection that can give us fault patches both automatically and manually . in this study the general workflow to get an acceptable and clear result showing exact trend and path of faults have been provided which require considerable amount of manipulation on related parameters, each of which have been discussed separately. automatic extraction of fault surfaces also has been done form ant-tracking attribute cube which not only shows very good match to those have been manually interpreted but also some minor faults which can not be detercted easily by routine interpretation, are visible on ant -tracking attribute cube.

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/103258/