List of Articles مخزن آسماری

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  1 - Comparison of image log interpretation and core analysis advantages for study of fractures in hydrocarbon reservoir rocks: a case study in the Asmari reservoir Aghajari oil field
  Masumeh Vatan dust Ali Farzipour Saein Esmaeil Salarvand
  20.1001.1.22518738.1394.5.9.6.8
  The Oligo-Miocene Asmari Formation is one of the main reservoir rocks of SW Iran with several decades of production history from different oil fields in the Zagros fold- thrust belt. One of the main reasons for the high quality of the Asmari reservoir is well develope More

  The Oligo-Miocene Asmari Formation is one of the main reservoir rocks of SW Iran with several decades of production history from different oil fields in the Zagros fold- thrust belt. One of the main reasons for the high quality of the Asmari reservoir is well developed fracture system in this formation. Characteristics of fractures such as type, opening and orientation can be determined by the core analysis and also interpreting the image logs. This paper attempts to compare the advantages of the image log and core analysis in detecting fractures and other geological feathers in different zones of the Asmari Formation. To achieve this goal, we have compared the image log and core of well no. 89 of the Aghajari oil field. Comparison of the core well no. 89 of the Aghajari oil field with its image log revealed distinguish of the bedding planes in the core easier and more reliable than the image log. This study demonstrates the image log is more capable than core to detect the open fractures, while it is not suitable for detecting filled fractures. Indeed, image log rarely can detect shear fractures, but if it is calibrated with core, it can detect shear fractures with reasonable accuracy. Manuscript profile
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  2 - Study the role of drilling mud loss modeling and FMI log in determining Asmari reservoir fractures in one of the oil fields in Southwest Iran
  Kioumars Taheri Mohammad Reza  Rasaei Abbas Ashjaei
  20.1001.1.22518738.1396.7.14.1.7
  Understanding of oil and gas reservoirs is of great help in maximizing hydrocarbon recovery. In the study of the characteristics of oil structures, the study of fractures of reservoir rock in the stages of production and development of the field is very necessary. Nowad More

  Understanding of oil and gas reservoirs is of great help in maximizing hydrocarbon recovery. In the study of the characteristics of oil structures, the study of fractures of reservoir rock in the stages of production and development of the field is very necessary. Nowadays, the use of mud loss modeling and image logs in helping accomplish this task is of great assistance to oil geologists. Since the most of Iran's reservoirs are carbonate kind, investigating and identifying fractures, the degree of fissures opening and porosity distribution in the Asmari reservoir field of study, It is one of the most effective factors in the production of hydrocarbons from this field. One of the best ways to identify and interpret geology in the well, using of the FMI image log is, which can create high quality images from the well. With the help of the images provided, can determine the types of fractures, porosity, the distribution of diagenetic porous spaces and the estimation of permeability trend. In this article, first, structure and Functionality of the FMI image log and then drilling and production problems were evaluated in Asmari reservoir. In the following, the functional role of the log in interpreting and determining the degree of fissures opening, porosity distribution and permeability level in 8 wells in Asmari reservoir, has been evaluated. In this study, identification of Asmari reservoir fractures and how to expand these fractures in the reservoir By using mud loss modeling, interpretation of the FMI image log and the effect of these fractures was on the porosity and permeability of the reservoir. In this study, it has been determined that, fractures identified in wells very good matching with drilling mud loss maps with rock basement faults at the has anticline of the Asmari reservoir. Manuscript profile
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  3 - Permeability estimation using petrophysical logs and artificial intelligence methods: A case study in the Asmari reservoir of Ahvaz oil field
  Abouzar Mohsenipour Bahman Soleimani iman Zahmatkesh Iman  Veisi
  20.1001.1.22518738.1399.10.20.4.3
  Permeability is one of the most important petrophysical parameters that play a key role in the discussion of production and development of hydrocarbon fields. In this study, first, the magnetic resonance log in Asmari reservoir was evaluated and permeability was calcula More

  Permeability is one of the most important petrophysical parameters that play a key role in the discussion of production and development of hydrocarbon fields. In this study, first, the magnetic resonance log in Asmari reservoir was evaluated and permeability was calculated using two conventional methods, free fluid model (Coates) and Schlumberger model or mean T2 (SDR). Then, by constructing a simple model of artificial neural network and also combining it with Imperialist competition optimization (ANN-ICA) and particle swarm (ANN-PSO) algorithms, the permeability was estimated. Finally, the results were compared by comparing the estimated COATES permeability and SDR permeability with the actual value, and the estimation accuracy was compared in terms of total squared error and correlation coefficient. The results of this study showed an increase in the accuracy of permeability estimation using a combination of optimization algorithms with artificial neural network. The results of this method can be used as a powerful method to obtain other petrophysical parameters. Manuscript profile