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Khalifeh M.,University of Stavanger | Bagherzadeh H.,RIPI | Izadi M.,Science and Research Branch of IAU
SPE - European Formation Damage Conference, Proceedings, EFDC | Year: 2013

Asphaltene deposition is one serious problem in many of Iranian oil reservoirs. So, a deeper understanding of this phenomenon is essential to prevent its related formation damage and increasing ultimate production through selecting a proper planning. The major goals of this study are (a) investigation of asphaltene deposition on rock surfaces under natural depletion condition during dynamic flow tests, and (b) simulation study of asphaltene-induced permeability damage by using commercial software and evaluation of its strengths and weaknesses. To extend the results of this work, asphaltene deposition and simulation study performed on both carbonate and sandstone rocks. The results of dynamic flow experiments show asphaltene deposition is a continuous process causing permeability impairment and is also partially reversible. Simulation results indicate good matching of the experimental data at final steps of the experiments and it means that software should be modified respect to modeling of asphaltene deposition. In addition, surface deposition and entrainment mechanisms are more important in carbonate rocks than sandstones while pore plugging mechanisms depends on the pore size distribution of the rock and it may play same role in carbonate and sandstone rocks. The simulation model considers constant values for adsorption and plugging coefficient, while these coefficients are changing during experiment. All the tests are performed and simulated in accordance to reservoir condition and oil production rate of wells. © 2013, Society of Petroleum Engineers.

van Buchem F.S.P.,French Institute of Petroleum | van Buchem F.S.P.,Maersk Oil | Allan T.L.,CSIRO | Laursen G.V.,Statoil | And 9 more authors.
Geological Society Special Publication | Year: 2010

A regional sequence stratigraphic model is proposed for the Oligo-Miocene Asmari and Pabdeh Formations in the Dezful Embayment of SW Iran. The model is based on both new detailed sedimentological observations in outcrops, core and well logs, and an improved high-resolution chronostratigraphic framework constrained by Sr isotope stratigraphy and biostratigraphy. A better understanding of the stratigraphic architecture distinguishes four, geographically separated types of Asmari reservoirs. Three Oligocene sequences (of Rupelian, early Chattian and late Chattian age) and three Miocene sequences (of early Aquitanian, late Aquitanian and early Burdigalian age) have been distinguished, representing a period of 15.4 Ma. The stratigraphic architecture of these sequences is primarily controlled by glacio-eustatic sea-level fluctuations, which determined the distribution of carbonates, sandstones and anhydrites in this sedimentary system. Tectonic control became important in the Burdigalian with a regional tilt down towards the NE. The lithological heterogeneity, the complex geometries, and both early and late diagenetic alterations are the basis for a classification of four main stratigraphic reference types for the Asmari Reservoirs: Type 1, sandstone dominated; Type 2, mixed carbonate-siliciclastic; Type 3, mixed carbonate-anhydrite; and Type 4, carbonate dominated. The sequence stratigraphic model predicts how and when these types change laterally from one to another. © The Geological Society of London 2010.

News Article | November 18, 2015

Home > Press > Application of Nanocomposite Membranes in Fuel Cells to Produce Green Energy Abstract: The application of fuel cells increases every day in various industries due to the importance of using sustainable and green energy sources. Fuel cells have important applications in transportation industry, power plants (including domestic, commercial and industrial), portable electronic devices, including cell phones and laptops, and other issues. Therefore, it is necessary to carry out researches on the production of various types of membranes to be used in fuel cells. In order to reduce production costs, researchers from Iran's Research Institute of Petroleum Industry (RIPI) succeeded in the production of nanocomposite membranes to be mostly used in the structure of fuel cells. Membranes that are currently used in fuel cells are usually expensive and they have short life. The method presented in this research to produce membranes is simple and cost-effective, and the membranes synthesized through this method are cheaper but more durable in comparison with the similar samples in the market. A new type of nanocomposite proton exchanging polymeric membranes based on polyvinyl alcohol and fumed silica nanoparticles attached to the hydrophilic polymer was produced through aqueous solution casting method to develop novel methods in the production of high temperature membranes. The structure and performance of the membranes were tested by using various experiments. Based on the results, the presence of hydrophilic polymeric chains on fumed silica nanoparticles increases characteristics, including proton conduction and mechanical strength, of polymeric membranes. It means an increase in the resistance and life of the membranes. The results of the research have been published in Polymer Science, section Polymer Membranes, vol. 57, issue 5, 2015, pp. 667-674. For more information, please click If you have a comment, please us. Issuers of news releases, not 7th Wave, Inc. or Nanotechnology Now, are solely responsible for the accuracy of the content.

Mashhadi Meighani H.,Sharif University of Technology | Ghotbi C.,Sharif University of Technology | Jafari Behbahani T.,RIPI
Fluid Phase Equilibria | Year: 2016

Wax precipitation may occur in production or transportation of crude oil form field which is a serious problem in petroleum industry. Flow assurance issues concerning wax precipitation make it necessary to develop a precise thermodynamic model to predict the wax appearance temperature and amount of precipitation at different conditions. In this work a new procedure has been proposed to characterize crude oil based on the SARA test considering the wax and asphaltene as single pseudo components. Two scenarios have been investigated for the survey of the crude oil characterization, with and without asphaltene pseudo component. Also, in this work, the Perturbed Chain form of the Statistical Associating Fluid Theory, PC-SAFT, has been developed to evaluate its ability for modeling of wax precipitation prediction. It is demonstrated that the developed PC-SAFT model can correlate the wax precipitation amount better than basic models (multiple solid, solid solution) typically used in the industry. The results obtained with the proposed model show a remarkable matching with the experimental data for wax precipitation values. The obtained results are very promising in providing better approach to model wax precipitation. The effect of asphaltene molecules on wax precipitation has been investigated by sensitivity analysis using Monte Carlo algorithm and the Artificial Neural Network as the base model. In this work, a three layer FFBP neural network has been constructed using the Levenberg–Marquardt training method to predict the wax precipitation amount at different conditions which are the network input parameters. Positive effect of asphaltene on wax precipitation confirmed that asphaltene molecules act like the nucleation sites for wax crystals. The obtained results in this work show that the asphaltene content of crude oil should be considered in wax precipitation models. © 2016

Behrouz T.,RIPI | Askari A.,RIPI | Forghaani S.,RIPI | Basirat M.,NIGC | And 2 more authors.
International Gas Research Conference Proceedings | Year: 2014

A novel screening criteria under Multi Criteria Decision Making wiith Analytical Hierarchy Process engine is presented. The way to acquire fields' expert opinions for applying Under Ground gas Storage (UGS), how to ask questions from fields' expert, and how criteria affect selection of one structure in comparison with one another are proposed. The methodology can be applied to different fields/structures to prioritize them for selecting appropriate sites of UGS and the best choice to execute this technology on, can then be selected. The techniques described should be used by decision makers and managers to select the proper and potential site for UGS. This is an abstract of a paper presented at the International Gas Union Research Conference (IGRC 2014) (Copenhagen, Denmark 9/17-19/2014).

Zohreh M.,University of Technology Malaysia | Junin R.,University of Technology Malaysia | Bakhtiary H.A.,NIOC South | Poor S.T.,NIOC South | And 2 more authors.
Arabian Journal of Geosciences | Year: 2016

Core samples are still today considered as the standard measurement against all other measurements which must be compared. Core analysis usually focuses on the worse portion of the reservoir due to the fact that core recovery has rarely been well in a highly fractured zone; hence, permeability measured from core sample is often not representative. Core analysis is a common method to identify small-scale fractures of the well and permeability and porosity; however, there are some limitations in the core procedure such as it is highly expensive and unidirectional and has a low recovery coefficient in fractured zone. In contrast, there tends to be a mistrust and even a suspicion of those logging instruments that make measurements which threaten to replicate or even replace the “sacred core.” Thus, image logs are more useful to study the subsurface fractures in these such cases and the logs which come closest to achieving this are the high-resolution micro resistivity (OBMI) and acoustic geological imaging (UBI). The core and OBMI-UBI result was matched in order to verify the log measurements. Furthermore, FMI data were integrated with other open-hole logs to derive a permeability curve. As demonstrated in the case studies, it is believed that the permeability in the basement could be reasonably evaluated using this method. As a result, this exercise has proven to be very valuable, not only for demonstrating the value of the log data, but also it has also highlighted some significant limitations of the core in water-based mud and oil-based mud systems. © 2016, Saudi Society for Geosciences.

Mousaei A.,RIPI | Ghadirian A.A.,RIPI | Hatefi M.A.,RIPI
Society of Petroleum Engineers - International Petroleum Technology Conference 2013, IPTC 2013: Challenging Technology and Economic Limits to Meet the Global Energy Demand | Year: 2013

A value chain is a series of events that takes a raw material and with each step adds value to it. Global interest in the application of natural gas in production and transportation has grown dramatically, representing a long-term, low-cost, domestic, secure, etc. alternative to petroleum-based fuels. Many technological solutions are currently considered on the market or in development that address the challenge and opportunity of natural gas. In this paper, an integrated model is introduced for selecting the best fuel to develop in the value chain of natural gas through the four options: Compressed Natural Gas (CNG), Liquefied Natural Gas (LNG), Dimethyl Ether (DME) and Gas-To-Liquids (GTL). The presented model uses the Multiple Attribute Decision-making (MADM) techniques to select the best fuel in the value chain of natural gas based on the criteria such as market situations, technology available and transportation infrastructure. The model recommends some key guidelines for two branches of countries i.e. those have natural gas resources and the others. We believe that applying the proposed model helps the oil & gas / energy ministries in most effective and productive manner dealing with his complicated fuel-related production and transportation decision-making situations. Keywords: Natural gas value chain, CNG, LNG, GTL, DME, MADM. Copyright 2013, International Petroleum Technology Conference.

Khoshbakht F.,RIPI | Mohammadnia M.,RIPI
73rd European Association of Geoscientists and Engineers Conference and Exhibition 2011: Unconventional Resources and the Role of Technology. Incorporating SPE EUROPEC 2011 | Year: 2011

Permeability, the ability of rocks to flow hydrocarbons is directly determined from core. Due to high cost associated with coring, many techniques suggested to predict permeability from easy to obtain and frequent properties of reservoir such as porosity. This study launched to put clustering methods (MRGC, SOM, DC and AHC) into practice in permeability prediction of a heterogeneous carbonate reservoir in SW Iran. Conventional approaches like empirical models and regression analysis were also examined. Performance of all examined methods compared in order to choose the best approach for predicting permeability in uncored wells of the studied field. For all clustering methods, selecting optimal number of clusters is the most important task. The optimal value for the number of clusters selected by iteration. The optimal number of clusters for MRGC, SOM, DC and AHC is 7, 9, 9 and 8 respectively. Empirical equations and regression analysis could not predict permeability well and R2 of estimation of both approach were around 0.6. Generally performance of clustering techniques was acceptable regarding to Fahliyan formation. These techniques predict permeability between 1 and 1000 mD very well and just overestimate permeability below 1 mD. SOM performed the best between examined techniques (R2=0.7911).

Kamalipour M.,ICOFC | Shahrabadi A.,RIPI
SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings | Year: 2013

In reality the rate of a production well is not constant and varies in time so the producing responses would be noisy. De-convolution is a method of converting a variable rate distorted pressure profile into the pressure profile for an equivalent constant rate production sequence. There are two methods used for de-convolving distorted pressure data: Beta De-convolution and material balance de-convolution methods. The application of both methods was tested in well test analysis of a naturally fractured reservoir. The end of well bore storage was estimated by both methods, and then the reservoir data were analyzed by well testing software. The calculated permeability, interaction coefficient and storativity ratio are different in both approaches. The comparison of data shows that the material balance method predicts the pressure response better and is suggested for applying in field cases. Copyright 2013, Society of Petroleum Engineers.

The invention related to a nano-structured catalyst system for removing mercaptans and/or H_(2)S from hydrocarbonous gas mixtures and an apparatus for removing mercaptans and H_(2)S from gas streams utilizing the catalyst system.

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