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  1 - 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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  2 - Drilling mud loss modeling to detect high risk point and suitable location for new drilling project in Sarvak Formation, Azadegan Oil Field
  Bahman Soleimani Abass  Esmaeli Ehsan Larki
  20.1001.1.22518738.1398.9.18.1.9
  Drilling mud loss is considered as one of common problems encountered during excavation. The aim of this study is to evaluate of mud loss of the Sarvak Formation (Cenomanian age) in Azadegan oil field which is known as the most important rich hydrocarbon reservoir in th More

  Drilling mud loss is considered as one of common problems encountered during excavation. The aim of this study is to evaluate of mud loss of the Sarvak Formation (Cenomanian age) in Azadegan oil field which is known as the most important rich hydrocarbon reservoir in the Zagros region by providing the model in the environment of GS+ software. This formation consists of a thick sequence of limestone and clay limestone layers, which is divided into 7 zones based on petrophysical characteristics. For this purpose, available data such as drilling mud weight, pump pressure, mud loss, and related depths of 9 drilled wells were investigated. The results showed that despite of the operating factors including the weight of drilling mud and the pressure of the pumps were kept constant, the presence of fractures in the reservoir rocks causes to occur mud loss significantly in zone 3 while it is observed the lowest level of mud loss in zone7. Based on the results of mud lost data patterns, faults, sedimentary environments morphology (such as sedimentary channels) seem to play major roles in creating fractures or areas susceptible to mud loss. The difference in observed patterns of mud loss is more likely to confirm the relocation of channel status over the time in different parts of the reservoir. In general, the highest rate of mud loss was detected in the northern and southern edges while the lowest rate was happened in the middle part of the field. It is suggested to prevent mud loss hazards in this field, underbalanced drilling method should be used. 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
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  4 - Reservoir characteristics prediction using the geostatistical model. Case study: Bangestan reservoir, Ziloi Field, SW Iran
  Somaieh Khoram abadi Bahman Soleimani Hussin Sheikhzadeh
  20.1001.1.22518738.1401.12.24.3.4
  The geostatistical model is considered as a useful tool for predicting the oil potential of reservoirs. In the present study, an attempt is made to review the importance of the geostatistical model in the reservoir characteristics, to model and examine the changes in th More

  The geostatistical model is considered as a useful tool for predicting the oil potential of reservoirs. In the present study, an attempt is made to review the importance of the geostatistical model in the reservoir characteristics, to model and examine the changes in the petrophysical parameters of the Bangestan reservoir in the Ziloi field despite the limited number of boreholes. This carbonate reservoir consists of Ilam, Surgah and Sarvak formations and was divided into eight zones. In the modeling process, the information required for the 3D model, including geophysical interpretations, well description information, and 2D maps along with their quality control (QC), were entered into the RMS software. The construction model was prepared based on the top levels of the structures and the depth information of the wells entering the reservoir. These data were used indirectly or directly in software with high grading capability to create levels. The depth level map of the top of Ilam Formation was entered into the model as an interpretation level, digitalization and as a base contour map. Isochore maps of other zones were prepared using the depths of wells entering different parts of the reservoir. The prediction of the distribution pattern of changes in the petrophysical features of the reservoir was prepared based on geostatistical methods, average porosity maps, and water saturation. According to the results of the modeling, it was revealed that the Ziloi field has a structural complexity, caused the heterogeneity of the reservoir and increased the risk of predicting the behavior of the reservoir. Comparison of reservoir zones showed that zone 3 has better hydrocarbon potential than other zones. One of the effective factors to improve its reservoir quality is the dolomitization process. Changes in the distribution values of water saturation and porosity showed that the reservoir properties improve from the southeast to the northwest of the field. Manuscript profile
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  5 - Depositional Environmental Analysis of Shally Units of Pabdeh-Gurpi Formation and Clay Minerals Effect on Wellbore Stability, Aghajari Oil Field
  بهمن  سلیمانی Zahra Dehghani
  20.1001.1.22518738.1401.12.23.6.5
  Shally units are one of the most problematic parameters in the process of drilling oil reservoirs. The current study is related to the instability of the wellbore due to the presence of clay minerals bearing shally units of the Pabdeh-Gurpi formations in Aghajari oilfie More

  Shally units are one of the most problematic parameters in the process of drilling oil reservoirs. The current study is related to the instability of the wellbore due to the presence of clay minerals bearing shally units of the Pabdeh-Gurpi formations in Aghajari oilfield. Investigation and identification of shales were done using the XRF laboratory and NGS logs. The results showed that the NGS method is sensitive and applicable to identify Illite mineral merely. According to Fe2O3 content, the upper part of the oxidant conditions, but towards the Gurpi, is dominated by reduction condition. The role of other elements in the formation of clay minerals was discussed. Based on the amount of iron, manganese and vanadium, the samples are classified as the Quinby_Hunt and Wilde class lll (non-sulfide resuscitation but Eh recovery and medium to low pH). The range of changes in the Th/U ratio (4-1.5) signified an environment with changes from sea to intermediate states. Manuscript profile