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| Articles
by
M. Ali Riahi |
Total Records (
2 ) for
M. Ali Riahi |
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Mohammad Alsouki
,
Hossein Hassani
,
Mehdi Irannajad
and
M. Ali Riahi
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The aim of this study is to describe tectono-depositional
structures resultant of Cretaceous, Tertiary and Miocene tectonic activities
in offshore area of Strait of Hormuz (Eastern part of Persian Gulf) using
various seismic interpretation and palinspastic restoration techniques.
High quality 3D-seismic data from the offshore area of Strait of Hormuz
display complex structural imaging of that found at the Northeastern margin
of Arabian plate. Seismic profiles show presence of two main unconformity
surfaces; the lowermost is at the base of upper Cretaceous that is called
Turonian Unconformity or top Bangestan group and the upper one is at base
of Miocene and is named Guri Unconformity. The overlying structures of
these unconformities seem to have been exposed to compressional and extensional
tectonic events; one during late Cretaceous is Oman Orogeny and the other
during Oligocene-Miocene epoch is Zagros Orogeny. These events had a significant
role in triggering Cambrian Hormuz Salt and formation salt diapirs. Furthermore,
the tectonic activities and sea level variations have played an effective
role in creation of the turbidities and mass transport complexes intra
Mid Miocene Mishan Formation which are considered good places of gathering
hydrocarbon due to having reservoir properties. |
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S. Alfaouri
,
M. Ali Riahi
,
N. Alizadeh
and
M. Rezaei
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The aim of this study was to modify some previous Fuzzy based models for developing a convenient and robust method for permeability problem solving in carbonates. The proposed technique is tested in two complex giant Iranian oil fields for justification; which are Sarvak and Asmari formations. The results were much more precise than previous similar Fuzzy studies which were in high agreement with core measured values. Permeability values estimation using core-derived information of wells with just electric logs is an old problem in reservoir characterization. In essence, the problem consists in finding some explicit relation between log and core data in those wells that contain both types of information. Then, describe reservoir features (derived from core data) of wells with log information only. Fuzzy logic is one of the intelligent techniques that have been applied extensively nowadays, but all the previous researches in this subject have been applied in Sandy reservoir cases. In this study, besides the previous studies a new Fuzzy model has been testified to estimate permeability values in two carbonate reservoirs. Moreover, the accuracy of the predicted results will be considered comparing with the measured core values. During this study a new modification in defuzzification stage will be introduced to make the method much more accurate and flexible in predicting permeability values in carbonates. Results show that the new proposed method yields better estimations than similar previous techniques in carbonate reservoirs. Furthermore, the predicted results represented in the actual range of core plugs permeability measures. |
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