Effective Algorithm for Calculation of Minimum Miscibility Pressure Kristian Jessen; Kristian Jessen Technical University of Denmark Search for other works by this author on: This Site Google Scholar Michael L. Michelsen; Michael L. Michelsen Technical University of Denmark Search for other works by this author on: This Site Google Scholar Erling H. Stenby Erling H. Stenby Technical University of Denmark Search for other works by this author on: This Site Google Scholar Paper presented at the European Petroleum Conference, The Hague, Netherlands, October 1998. Paper Number: SPE-50632-MS https://doi.org/10.2118/50632-MS Published: October 20 1998 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Jessen, Kristian, Michelsen, Michael L., and Erling H. Stenby. "Effective Algorithm for Calculation of Minimum Miscibility Pressure." Paper presented at the European Petroleum Conference, The Hague, Netherlands, October 1998. doi: https://doi.org/10.2118/50632-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Europec featured at EAGE Conference and Exhibition Search Advanced Search AbstractThis paper describes a new algorithm developed for calculation of the minimum miscibility pressure (MMP) for the displacement of oil by a multicomponent injection gas. The algorithm is based on the key tie line identification approach initially studied by Wang and Orr. A new global formulation is introduced to describe and locate the sequence of nc- 1 key tie lines controlling the development of miscibility. In this new formulation, a number of numerical weaknesses of the original approach have been eliminated resulting in a robust and highly efficient algorithm. The computation time is reduced significantly and is clearly superior to other methods described in the literature. For a 15 component fluid description the MMP is determined within a few seconds on a PC. Hence the algorithm offers an efficient tool for projects where a large number of MMP calculations are needed (e.g. lumping and gas enrichment studies).A case study is presented based on a real reservoir fluid for which PVT studies, swelling test and slimtube experiments have been performed. The study aims at investigating the influence of the characterization, tuning and lumping procedure used for generating a fluid description on the prediction of the MMP.Based on the generated fluid description, a gas enrichment study is presented where the optimum mixture of two available injection gasses is determined aiming to optimize the gas injection project.P. 559 Keywords: tie line, experiment, displacement, prediction, fluid description, mmp, fraction, key tie line, enrichment study, calculation Subjects: Fluid Characterization, Improved and Enhanced Recovery, Fluid modeling, equations of state, Gas-injection methods This content is only available via PDF. 1998. Society of Petroleum Engineers You can access this article if you purchase or spend a download.
A Langmuir adsorption model is used to represent the conditions at which structure H hydrates may form. The two smaller cavities of structure H hydrates are of similar size and are modeled using the same Langmuir constants. Parameters in a simple two-parameter Langmuir expression have been estimated for methane and nitrogen as guest molecules of the smaller cavities and for 12 possible guest molecules of the large cavity. The latter ones are all hydrocarbons with from 5 to 8 carbon atoms. Experimental hydrate formation temperatures are correlated with an average absolute temperature deviation of 0.15 K. Hydrate formation data for two ternary mixtures not used in the parameter estimation are modeled with approximately the same accuracy.
An association model, the cubic-plus-association (CPA) equation of state (EoS), is applied for the first time to a class of multifunctional compounds (alkanolamines). Three alkanolamines of practical and scientific significance are considered; monoethanolamine (MEA), diethanolamine (DEA), and methyl diethanolamine (MDEA). Vapor pressures and liquid densities, as well as solvatochromic parameters and mixture liquid−liquid equilibria (LLE) data with alkanes are used to estimate the five pure-compound parameters. Vapor−liquid equilibria (VLE) calculations for cross-associating mixtures, especially those with water, are used in the validation of the parameters. The influence on the results of the association scheme, cross-association combining rules, interaction parameters, and the data available is discussed also, in connection with other aqueous cross-associating mixtures previously studied using the CPA equation of state (alcohols, amines, and glycols).
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