List of Articles Flow Unit

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  1 - Electro-Facies and Rock Type Comparison in the One of Gas Field’s Kangan, (Iran)
  حیدر صائمی
  20.1001.1.22518738.1393.4.8.4.7
  Abstract Kangan Formation in the Study Area is about 444 meters thick and is mainly composed of Limestone and dolomite with randome interbeds of Anhydrites. In this article, Rock Types are determind by Electro Facies and Hydrolic Flow Units (HFU) method using the Core More

  Abstract Kangan Formation in the Study Area is about 444 meters thick and is mainly composed of Limestone and dolomite with randome interbeds of Anhydrites. In this article, Rock Types are determind by Electro Facies and Hydrolic Flow Units (HFU) method using the Core data, Gamma -Ray, Density and Neutron Porosity petrophysical logs of one of the Field’s wells. Rock Types determination can be a practical solution for categorizing reservoir’s facies aiming assesment of reservoir rock’s petrophysical properties and diffrentiating high potential producer zones from low potential ones. Hence clustering method based on Multi Resolution Graph-Based Clustering (MRGC) which is a “Non Parametric” statistical method, of umpteenth near value and graphical presentation of data, was implyed on Neutron Porosity, Density and Gamma-Ray logs to re-construct equivalent electro facies to the ones obtained from core. At the end, final clusters are formed by combining small clusters where five facies were recognized. The used method in this research eleminates the need of repeated coring and leads to a major cost and time saving. More over the Rock Types were also determind by Hydrolic Flow Units method. Hydrolic Flow Units is a method for categorizing the variety of Rocks according to their flowing properties based on geological and physical flow in pore scale. Five Rock Types were determind by this method also, which had good conformity with the ones from previous method in many locations. In some locations of course the results were not as good which could be as a result of non uniform sampling and human error. Manuscript profile
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  2 - Electro-Facies and Rock Type Comparison in the One of Gas Field’s Kangan, (Iran)
  حیدر صائمی وحید توکلی حسن  اشراقی
  Abstract Kangan Formation in the Study Area is about 444 meters thick and is mainly composed of Limestone and dolomite with randome interbeds of Anhydrites. In this article, Rock Types are determind by Electro Facies and Hydrolic Flow Units (HFU) method using the Co More

  Abstract Kangan Formation in the Study Area is about 444 meters thick and is mainly composed of Limestone and dolomite with randome interbeds of Anhydrites. In this article, Rock Types are determind by Electro Facies and Hydrolic Flow Units (HFU) method using the Core data, Gamma -Ray, Density and Neutron Porosity petrophysical logs of one of the Field’s wells. Rock Types determination can be a practical solution for categorizing reservoir’s facies aiming assesment of reservoir rock’s petrophysical properties and diffrentiating high potential producer zones from low potential ones. Hence clustering method based on Multi Resolution Graph-Based Clustering (MRGC) which is a “Non Parametric” statistical method, of umpteenth near value and graphical presentation of data, was implyed on Neutron Porosity, Density and Gamma-Ray logs to re-construct equivalent electro facies to the ones obtained from core. At the end, final clusters are formed by combining small clusters where five facies were recognized. The used method in this research eleminates the need of repeated coring and leads to a major cost and time saving. More over the Rock Types were also determind by Hydrolic Flow Units method. Hydrolic Flow Units is a method for categorizing the variety of Rocks according to their flowing properties based on geological and physical flow in pore scale. Five Rock Types were determind by this method also, which had good conformity with the ones from previous method in many locations. In some locations of course the results were not as good which could be as a result of non uniform sampling and human error. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  3 - Electro-Facies and Rock Type Comparison in the One of Gas Field’s Kangan, (Iran)
  حیدر صائمی وحید توکلی حسن  اشراقی
  Abstract Kangan Formation in the Study Area is about 444 meters thick and is mainly composed of Limestone and dolomite with randome interbeds of Anhydrites. In this article, Rock Types are determind by Electro Facies and Hydrolic Flow Units (HFU) method using the Co More

  Abstract Kangan Formation in the Study Area is about 444 meters thick and is mainly composed of Limestone and dolomite with randome interbeds of Anhydrites. In this article, Rock Types are determind by Electro Facies and Hydrolic Flow Units (HFU) method using the Core data, Gamma -Ray, Density and Neutron Porosity petrophysical logs of one of the Field’s wells. Rock Types determination can be a practical solution for categorizing reservoir’s facies aiming assesment of reservoir rock’s petrophysical properties and diffrentiating high potential producer zones from low potential ones. Hence clustering method based on Multi Resolution Graph-Based Clustering (MRGC) which is a “Non Parametric” statistical method, of umpteenth near value and graphical presentation of data, was implyed on Neutron Porosity, Density and Gamma-Ray logs to re-construct equivalent electro facies to the ones obtained from core. At the end, final clusters are formed by combining small clusters where five facies were recognized. The used method in this research eleminates the need of repeated coring and leads to a major cost and time saving. More over the Rock Types were also determind by Hydrolic Flow Units method. Hydrolic Flow Units is a method for categorizing the variety of Rocks according to their flowing properties based on geological and physical flow in pore scale. Five Rock Types were determind by this method also, which had good conformity with the ones from previous method in many locations. In some locations of course the results were not as good which could be as a result of non uniform sampling and human error. Manuscript profile
• Open Access Article
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  4 - Analysis of Electrical Rock Type Bangestan Reservoir in Marun Oil Field
  Abouzar Mohsenipour Bahman Soleimani Ehsan Abharakpour Ghodratollah   Nikkhah
  20.1001.1.22518738.1395.6.12.1.6
  Studies of the electrical Rock Type a very important role in the development process plays a field.In these studies, theporo-perm Cores data and well log data used for reservoir simulations. In the present research, the flow of four flow units was determined in the res More

  Studies of the electrical Rock Type a very important role in the development process plays a field.In these studies, theporo-perm Cores data and well log data used for reservoir simulations. In the present research, the flow of four flow units was determined in the reservoir using porosity and permeability data from well logging core by regional index method. In some wells, using well logging the basic model of electrical rocktype was determined with three methods of MRGC, SOM, and DYNAMIC. The determined facies by different methods were correlated with the flow unit. Finally, SOM method was selected, which has the best concordance. The initially created electrofacieswere reduced to 4 electrofacies due to the similarity of some parameters such as effective porosity and gamma logging. To ensure the accuracy of the electrical rock type by neural networks, these electrofacies were correlated with capillary pressure data. After confirming the determined electrofacies by capillary pressure, these facies were propagated in other wells in this field. This created a model, which was able to separate different parts of the reservoir. In this model, different parts of the reservoir were determined in terms of reservoir quality. Manuscript profile
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  5 - Integrated different methods (Lorenz, Lucia, Amaefule) in rock types and flow units identification of lower Miocene Razak Formation at Sarkhun gas field, Zagros basin, SE Iran
  Mohammad Hossein Saberi Milad Karampour.Hasanvand Seyed Ali Moallemi
  20.1001.1.22518738.1397.8.15.6.1
  One of the most important stages in the hydrocarbon reservoirs morphology is the identification of rocky type. In order to construct an efficient and correct model of a hydrocarbon reservoir, identification of rock types is one of the essential parameters in reservoir m More

  One of the most important stages in the hydrocarbon reservoirs morphology is the identification of rocky type. In order to construct an efficient and correct model of a hydrocarbon reservoir, identification of rock types is one of the essential parameters in reservoir modeling. and its consequences are found in the identification of rock types. The aim of this study is to compare different methods of determining rocky type and understanding the hydraulic flow unit distributions in order to assess the quality of reservoir of Razak Formation with sandstone carbonate lithology, marl and anhydrite to San Oligocene to lower Miocene. In this research, the experimental results of porosity, permeability and capillary pressure curves for 84 samples with porous microscopic sections Related to a 46-meter drill bit in one of the important fields of southeast of Iran were analyzed. The petrographic studies were conducted to investigate the changes of the features in the reservoir section with Razak formation and resulted in the identification of eight microfeatures( The MF1 packstone and Wackstone are at a depth of 2829 meters- The MF2 is the grinstone packstone at a depth of 2844 meters-the MF3 is the wackstone mudstone at a depth 2856 meters-the MF4 is the grinstone at a depth 2859meters –the MF5 is the mudstone wackstone are at a depth2848 meters – the MF6 mudstone at a depth of 2838 meters the MF7is the wackstone mudstone at a depth 2840 meters- The MF8 is a wackstone with sandstone depth of 2831) meters- in open Marin lagoon and fluvial clastic systems. In order to determine the rocky species and assess the flow units based on the core analysis results, four petrophysical classes were identified using the Lucia method. The petrophysical category number 1 has the best reservoir quality and the fourth category has the weakest reservoir quality. Also, the flow units were identified and separated using Amalufee and Lorenz's methods. Based on the Amalufee method, in the reservoir section of the Razak Formation, seven flow units have been identified, the sixth and seventh stream units were the best and one was the weakest reservoir segments among the seven units of the flow. Also, based on the analysis of capillary curves, six rocky species were distinguished, based on which the rocky type number five and six have the best quality. Also, using Geology software cross-sections, it was revealed that the main part of this section is sandstone with clay. The presence of gas in the formation causes cross-sectional deformation of samples to the northwest cross-platform. Finally, with the combination of various data, it was found the fossil formation in the study area has five types of rock in which the number 4 rock has the best quality of reservoir and rock number 5 has the largest reservoir and the unit number six is the best. Manuscript profile
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  6 - 3D modeling of rock types using the integration of core, well logs and seismic data in one of the carbonate reservoirs of southwestern Iran.
  Mahdi Kheirollahi Golnaz  Jozanikohan Reza Mohebian Ali Moradzadeh
  10.52547/ispg.38414.11.21.1
  20.1001.1.22518738.1400.11.21.2.0
  Rock typing is the process of assigning reservoir properties to geological facies, and an identified rock type has similar geological and reservoir properties. Due to the importance of identifying and separating rock types in hydrocarbon reservoirs, various methods have More

  Rock typing is the process of assigning reservoir properties to geological facies, and an identified rock type has similar geological and reservoir properties. Due to the importance of identifying and separating rock types in hydrocarbon reservoirs, various methods have been proposed and developed today for the determination of rock types. One of the simplest methods is the porosity chart against permeability and cut-off determination, and one of the most important and practical of these methods is to determine rock types by flow zone indicator. In this study, we examine one of the most important hydrocarbon fields in the south of Iran where core, well and seismic data are available for the field studied so that by designing a new workflow and with use of the most important and efficient methods of rock typing, including FZI, porosity, Winland-Pitman index, FZI*, and logarithms of FZI and FZI* we have identified rock types in three dimensions and through the whole field. After the final validation, the correlation coefficient values were more than 83%, 57%, 70%, 70%, 73% and 78% for the methods used, indicating greater accuracy and efficiency of the FZI method for the rock types separation in this field. The partial comparison of the validation results after each method employment also confirms the highest accuracy belongs to the FZI method. As a result, by integrating this method with seismic attributes, the rock types have been separated in four different groups throughout the field in three dimensions. Manuscript profile