List of Articles facies

• Open Access Article
  • Abstract Page
  • Full-Text
  
  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
• Open Access Article
  • Abstract Page
  • Full-Text
  
  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
  • Abstract Page
  • Full-Text
  
  4 - Study of Petrography & Petrophysics of Permian- Triassic carbonate sediments in Qatar –South Pars Arch
  Ali reza Bashari
  Abstract Dalan and Kangan Formations are major gas reservoirs in the Persian Gulf and surrounding area. Several supper giant gas fields has been found in the region. In this study reservoir rock types were identified and were divided into four lithostratigraphic zo More

  Abstract Dalan and Kangan Formations are major gas reservoirs in the Persian Gulf and surrounding area. Several supper giant gas fields has been found in the region. In this study reservoir rock types were identified and were divided into four lithostratigraphic zones: K1 to K4. Each of the four succeeding zones have been divided into different subzone. This Studies identified different facies-types on the Dalan and Kangan formation in this region. Petrophysical & Petrographycal studies indicate that the best reservoir unites are found in: Dolo-grainstones, Dolowakestones/Packstones and Grainstones. Isopach maps and Depth maps show variations in thickness and depth of different zones in this region. Depth map on top of Kangan formation shows this formation getting deeper toward north- west and south east in the Persian Gulf. Continuity of marker beds in Permian/Triassic sediment and paleontological evidence support diachroneity of these sediments. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  5 - Using information entropy theory and bayesian decision method to identify appropriate parameters for evaluating and discriminating oil facies (mansuri oil field, south of Iran)
  حسین معماریان
  20.1001.1.22518738.1390.1.2.6.6
  Due to subsurface heterogeneity and existing vagueness in geophysical interpretation, identifying and interpretation of facies in wellbores is always prone to uncertainty and risk. Nowadays several methods have developed for quantitative facies interpretation. These met More

  Due to subsurface heterogeneity and existing vagueness in geophysical interpretation, identifying and interpretation of facies in wellbores is always prone to uncertainty and risk. Nowadays several methods have developed for quantitative facies interpretation. These methods are generally divided into deterministic and stochastic categories. Deterministic methods, in spite of their simple modeling procedure, cannot expose the amount of error or accuracy of the model. On the other hand, stochastic methods, in addition to quantifying the error of the model, can provide the probability of the model’s accuracy in each point of the reservoir. The Bayesian approach is one of the stochastic methods that use conditional probabilities for modeling. This approach, as well as probabilistic modeling of hydrocarbon facies, quantitatively computes the effect of additional data in decreasing the error of the classification. Information entropy theory, by quantifying the intrinsic uncertainty in each model input parameter, can easily provide the selection of valuable parameters. The present study was carried out on one of the wells of Mansuri oil field, south of Iran. After generation of training data by using rock physics techniques and Gassmann’s relation, the value of each input parameter was identified by entropy analysis. Then, by use of Bayesian analysis and valuable parameters, oil facies classification and discrimination was implemented. The five optimum parameters were elastic impedance, compressional wave velocity, shear wave velocity, density and porosity .The amount of error in this method is approximated to be 11 percent. This investigation also showed that gamma ray parameter does not have a drastic positive effect on identification and discrimination procedure of oil facies, which has a good agreement with the results of entropy analysis . Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  6 - Facies, thickness variations and reservoir characterisation of Arab formation (Surmeh) in the Eastern part of the Persian Gulf
  Ali reza Bashari
  20.1001.1.22518738.1396.7.14.3.9
  The Kimmerigian-Tithonian) Arab Zone are the prolific hydrocarbon bearing resrvoirs in the eastern part of the Persian Gulf,offshore,Iran.They were deposited in an arid climate which dominate during late Jurassic. The Berriasian to Thitonian Hith formation wich o More

  The Kimmerigian-Tithonian) Arab Zone are the prolific hydrocarbon bearing resrvoirs in the eastern part of the Persian Gulf,offshore,Iran.They were deposited in an arid climate which dominate during late Jurassic. The Berriasian to Thitonian Hith formation wich overlies the Arab reservoir constitutes the cap rock,wich just to the east gradually pinches out and form a N-S feather adge. The study reveals that Arab zones form a massive to interbedded anhydrite with varying proportion of limestone and dolomite and generally have regressive units which was deposited on a broad carbonate platform .This formations are thick in center (Salman field) and mostly consist of intertidal pack/grainstones with high porosity/permeability,good cap rock and also close to the source rock,which has the most hydrocarbon potential, but towards east the layers getting thinner with unsuitable cap rock and are away from source rock ,so as a result Arab formation in this part of the Persian Gulf doesn,t seem to be attractive. This study reveals that there is still some undrilled structure within this area which could be attractive for further Exploration drilling. Manuscript profile