Papers by Navid Dinarvand
Process Industries Power the Pacific Rim: Sixth Conference of the Asia Pacific Confederation of Chemical Engineering; Twenty-first Australasian Chemical Engineering Conference; Official Proceedings of Combined Conference 1993, 1993
Because of the lack of sufficient natural drive in oil reservoirs in the southern sector of the I... more Because of the lack of sufficient natural drive in oil reservoirs in the southern sector of the Iranian oil fields, possibilities of some form of artificial drive were considered. At present, the injection of gas into the oil reservoir is under investigation. Enormous amounts of CO{2} gas are available in the area close to the oil fields. The injection of CO{2} would potentially not only enhance the oil recovery but also reduce the environmental impact. The miscible displacement of oil by CO{2} is achieved if the pressure of the injected gas phase is higher than the minimum miscible pressure (MMP) which is determined experimentally. The present investigation reports the results of extensive experimental work to determine the minimum miscible pressure of CO{2} gas into n-hexane and a typical Iranian crude oil. The measured MMP values were compared with predictions of published correlations for high pressure slim tubes. For the CO{2}/n-hexane system the best agreement was obtained with the correlation suggested by Yellig and Metcalfe (1980) while for the CO{2}/crude oil system the best prediction was obtained with the correlation of Glaso (1985).
All Days, Mar 11, 2007
Miscible gas injection is one of the most effective enhanced oil recovery techniques and minimum ... more Miscible gas injection is one of the most effective enhanced oil recovery techniques and minimum miscibility pressure (MMP) is an important parameter in miscible gas injection processes. Exact determination of this parameter is critical to the designing of the injection equipments and the project investment prospect. The purpose of this paper is to develop a new artificial neural network (ANN) model to predict the minimum miscibility pressure of hydrocarbon gas flooding. Different MMP correlations and models regarding the kind of injection gas and the mechanism of miscibility have been proposed, which are respectively based on mathematical and thermodynamic calculations. Almost all the correlations proposed in the literature are representative of either condensing or vaporizing mechanism or give reasonable results only in the limited range of data they are based on. In this article, by taking into consideration both condensing and vaporizing mechanisms and by using a wider range of data, the new model is introduced. Experimental data from different crude oil reservoirs carried out by slim tube test have been used to obtain a new model in which both mechanisms are included. An Iranian oil reservoir is a candidate for miscible gas recycling with API=23 and initial pressure of 5500 psi. Sampling and recombination is done on the reservoir fluids. Flash and differential expansions are performed for fluid characterization and then miscible experiments are carried out for MMP determination with slim-tube apparatus. The significance of this correlation is that MMP can be determined for any composition of oil and gas, no matter which mechanism is dominant in achieving miscibility. The sensitivity analysis is done and consequently the percentage of error for the model is compared with the literature data. It is shown that the results obtained from the new MMP model are more accurate when compared with other most common correlations reported.
All Days, Jun 27, 2010
Oil-based muds have been used widely in Iranian oil fields to drill pay zones and shaly formation... more Oil-based muds have been used widely in Iranian oil fields to drill pay zones and shaly formations. However, their applications have become more restricted because of high initial cost and prices of handling. The other important aspect is the environmental concerns that become more stringent in Iran. Therefore, an environmental friendly mud replacement having a good performance has become Iranian oil companies' demand. Water-based glycol muds seem to be good alternatives for oil-based muds. These environmental friendly muds can inhibit shaly formations, lubricate drill stem, clean the hole, and deposit a thin and impermeable filter cake which reduce the risk of differential pipe sticking and damage, respectively. Moreover, initial and handling expenses are reduced, and these lead to the reduction in the overall costs of drilling the well. In this study, rheological property of the water-based glycol mud was assessed and compared with the oil-based one. Cutting integrity test was performed in order to evaluate the performance of shale inhibition. This test was conducted on bottom hole samples of Kazhdumi, Daryan, and Asmari, three different problematic shaly formations of Maroon oil field. Formation damage caused by water-based glycol and oil- based muds was measured and compared. It was found that the water-based mud has a comparable rheological property with respect to oil-based mud. The cuttings recovery percentage was within the excellent range. Formation damage caused by water- based glycol mud was more than oil-based mud. The results show that this mud system is a very good alternative to oil-based muds in Iranian oil fields.
Fluid Phase Equilibria, Nov 1, 2020
This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Journal of Iranian Association of Electrical and Electronics Engineers, 2021
Fluid Phase Equilibria, 2020
This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
All Days, 2007
Miscible gas injection is one of the most effective enhanced oil recovery techniques and minimum ... more Miscible gas injection is one of the most effective enhanced oil recovery techniques and minimum miscibility pressure (MMP) is an important parameter in miscible gas injection processes. Exact determination of this parameter is critical to the designing of the injection equipments and the project investment prospect. The purpose of this paper is to develop a new artificial neural network (ANN) model to predict the minimum miscibility pressure of hydrocarbon gas flooding. Different MMP correlations and models regarding the kind of injection gas and the mechanism of miscibility have been proposed, which are respectively based on mathematical and thermodynamic calculations. Almost all the correlations proposed in the literature are representative of either condensing or vaporizing mechanism or give reasonable results only in the limited range of data they are based on. In this article, by taking into consideration both condensing and vaporizing mechanisms and by using a wider range of ...
Journal of Petroleum Science and Engineering, 2011
Asphaltene precipitation and deposition occur in petroleum reservoirs as a change in pressure, te... more Asphaltene precipitation and deposition occur in petroleum reservoirs as a change in pressure, temperature and liquid phase composition and reduce the oil recovery considerably. In addition to these, asphaltene precipitates may deposit in the pore spaces ...
All Days, 2010
One of the important challenges in drilling a well is kick detection. In fact, ignoring the signs... more One of the important challenges in drilling a well is kick detection. In fact, ignoring the signs of a kick lead us to complicated problems in killing the well and consequently, if the kick could not be controlled a blowout may occur. Therefore, considering the early detective parameters seems crucial. Kick happens because some parameters like tank volumes are changed when the time passes, so static neural network cannot predict this occurrence; therefore, using dynamic neural network, which incorporate the previous data could predict the system manner better than the static one. In this paper, a dynamic neural network model is presented and good results with acceptable accuracy are shown. The model was trained with some Iranian onshore oil wells that kick was encountered in them. The kicks were predicted longer before it could have been detected by the drilling crew.
Uploads
Papers by Navid Dinarvand