Density, viscosity, surface tension, and excess properties of DSO and gas condensate mixtures View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

Ahmad Khorami, Seyed Ali Jafari, Mohamad Mohamadi-Baghmolaei, Reza Azin, Shahriar Osfouri

ABSTRACT

Disulfide oil (DSO) mostly burned or stored is known as a low-grade byproduct in gas refining industries. This material is highly perilous to environment. A common way to reduce the environmental impact of DSO is blending in a specific ratio with gas condensate stream in gas refinery. This would improve DSO quality and consequently strengthen its unique application. In this work, density, viscosity and surface tension of DSO and gas condensate mixtures were measured and modeled. Viscosity and density of DSO, gas condensate, and their mixtures were measured in temperature range of 283.15–318.15 K. In addition, surface tension was measured at 298.15 K at different volumetric fractions of DSO–gas condensate mixture. Excess molar volume (VE), viscosity deviation (∆μ), deviation of excess Gibbs free energy (∆GE), and excess surface tension (σE) were determined based on measured properties. Results showed a positive and negative trend for excess molar volume and excess surface tension, respectively. While fluctuation was observed in viscosity deviation and deviation of excess Gibbs free energy and results showed positive and negative values in different mole fraction. In addition, Redlich–Kister equation is proposed to predict excess properties of DSO and gas condensate mixtures. More... »

PAGES

119-129

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13203-017-0183-4

DOI

http://dx.doi.org/10.1007/s13203-017-0183-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092333294


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0306", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Chemistry (incl. Structural)", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Persian Gulf University", 
          "id": "https://www.grid.ac/institutes/grid.412491.b", 
          "name": [
            "Chemical Engineering Department, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, 7516913798, Bushehr, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Khorami", 
        "givenName": "Ahmad", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Persian Gulf University", 
          "id": "https://www.grid.ac/institutes/grid.412491.b", 
          "name": [
            "Chemical Engineering Department, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, 7516913798, Bushehr, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jafari", 
        "givenName": "Seyed Ali", 
        "id": "sg:person.013467704043.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013467704043.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Persian Gulf University", 
          "id": "https://www.grid.ac/institutes/grid.412491.b", 
          "name": [
            "Chemical Engineering Department, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, 7516913798, Bushehr, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mohamadi-Baghmolaei", 
        "givenName": "Mohamad", 
        "id": "sg:person.015465727023.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015465727023.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Persian Gulf University", 
          "id": "https://www.grid.ac/institutes/grid.412491.b", 
          "name": [
            "Petroleum Engineering Department, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, 7516913798, Bushehr, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Azin", 
        "givenName": "Reza", 
        "id": "sg:person.010232372146.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010232372146.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Persian Gulf University", 
          "id": "https://www.grid.ac/institutes/grid.412491.b", 
          "name": [
            "Chemical Engineering Department, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, 7516913798, Bushehr, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Osfouri", 
        "givenName": "Shahriar", 
        "id": "sg:person.015024045542.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015024045542.08"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jct.2011.05.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001630819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11176-005-0142-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002957072", 
          "https://doi.org/10.1007/s11176-005-0142-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/19443994.2014.926835", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007280040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jct.2006.01.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007483462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-3812(02)00095-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008970226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.psep.2008.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009554961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jct.2011.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011925980"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0965544108020060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017095849", 
          "https://doi.org/10.1134/s0965544108020060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molliq.2016.08.096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017494877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10553-016-0751-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018184670", 
          "https://doi.org/10.1007/s10553-016-0751-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10553-016-0751-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018184670", 
          "https://doi.org/10.1007/s10553-016-0751-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-3812(01)00504-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032774413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-3812(01)00621-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040290828"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fluid.2007.07.075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045467758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13203-015-0107-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045929213", 
          "https://doi.org/10.1007/s13203-015-0107-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fuel.2013.04.071", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053266966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.energyfuels.6b01992", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055087078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.jced.5b00197", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055096827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.jced.5b00903", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055097150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie50458a036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055629314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/je010239a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055879870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/je010239a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055879870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/je025639s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055880261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/je025639s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055880261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/je900091b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055889489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/je900091b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055889489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1091581813504227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063976712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1091581813504227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063976712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.15328/chemb_2011_478-81", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067734979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.15328/chemb_2011_478-81", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067734979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17122/ogbus-2016-5-125-139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068285814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/59774-ms", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1096941070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/2008-030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1096981568"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-12", 
    "datePublishedReg": "2017-12-01", 
    "description": "Disulfide oil (DSO) mostly burned or stored is known as a low-grade byproduct in gas refining industries. This material is highly perilous to environment. A common way to reduce the environmental impact of DSO is blending in a specific ratio with gas condensate stream in gas refinery. This would improve DSO quality and consequently strengthen its unique application. In this work, density, viscosity and surface tension of DSO and gas condensate mixtures were measured and modeled. Viscosity and density of DSO, gas condensate, and their mixtures were measured in temperature range of 283.15\u2013318.15 K. In addition, surface tension was measured at 298.15 K at different volumetric fractions of DSO\u2013gas condensate mixture. Excess molar volume (VE), viscosity deviation (\u2206\u03bc), deviation of excess Gibbs free energy (\u2206GE), and excess surface tension (\u03c3E) were determined based on measured properties. Results showed a positive and negative trend for excess molar volume and excess surface tension, respectively. While fluctuation was observed in viscosity deviation and deviation of excess Gibbs free energy and results showed positive and negative values in different mole fraction. In addition, Redlich\u2013Kister equation is proposed to predict excess properties of DSO and gas condensate mixtures.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s13203-017-0183-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1136742", 
        "issn": [
          "2190-5525", 
          "2190-5533"
        ], 
        "name": "Applied Petrochemical Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2-4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Density, viscosity, surface tension, and excess properties of DSO and gas condensate mixtures", 
    "pagination": "119-129", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "86676199473d3efdb7c8a375e571638abe50f533c1c74f5e25943375c73e0111"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13203-017-0183-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092333294"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13203-017-0183-4", 
      "https://app.dimensions.ai/details/publication/pub.1092333294"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:04", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8664_00000601.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs13203-017-0183-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s13203-017-0183-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s13203-017-0183-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13203-017-0183-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13203-017-0183-4'


 

This table displays all metadata directly associated to this object as RDF triples.

174 TRIPLES      21 PREDICATES      54 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13203-017-0183-4 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author Nedad18a0aef74639b9149d877a712c46
4 schema:citation sg:pub.10.1007/s10553-016-0751-9
5 sg:pub.10.1007/s11176-005-0142-0
6 sg:pub.10.1007/s13203-015-0107-0
7 sg:pub.10.1134/s0965544108020060
8 https://doi.org/10.1016/j.fluid.2007.07.075
9 https://doi.org/10.1016/j.fuel.2013.04.071
10 https://doi.org/10.1016/j.jct.2006.01.016
11 https://doi.org/10.1016/j.jct.2011.05.018
12 https://doi.org/10.1016/j.jct.2011.12.002
13 https://doi.org/10.1016/j.molliq.2016.08.096
14 https://doi.org/10.1016/j.psep.2008.01.005
15 https://doi.org/10.1016/s0378-3812(01)00504-0
16 https://doi.org/10.1016/s0378-3812(01)00621-5
17 https://doi.org/10.1016/s0378-3812(02)00095-x
18 https://doi.org/10.1021/acs.energyfuels.6b01992
19 https://doi.org/10.1021/acs.jced.5b00197
20 https://doi.org/10.1021/acs.jced.5b00903
21 https://doi.org/10.1021/ie50458a036
22 https://doi.org/10.1021/je010239a
23 https://doi.org/10.1021/je025639s
24 https://doi.org/10.1021/je900091b
25 https://doi.org/10.1080/19443994.2014.926835
26 https://doi.org/10.1177/1091581813504227
27 https://doi.org/10.15328/chemb_2011_478-81
28 https://doi.org/10.17122/ogbus-2016-5-125-139
29 https://doi.org/10.2118/2008-030
30 https://doi.org/10.2118/59774-ms
31 schema:datePublished 2017-12
32 schema:datePublishedReg 2017-12-01
33 schema:description Disulfide oil (DSO) mostly burned or stored is known as a low-grade byproduct in gas refining industries. This material is highly perilous to environment. A common way to reduce the environmental impact of DSO is blending in a specific ratio with gas condensate stream in gas refinery. This would improve DSO quality and consequently strengthen its unique application. In this work, density, viscosity and surface tension of DSO and gas condensate mixtures were measured and modeled. Viscosity and density of DSO, gas condensate, and their mixtures were measured in temperature range of 283.15–318.15 K. In addition, surface tension was measured at 298.15 K at different volumetric fractions of DSO–gas condensate mixture. Excess molar volume (VE), viscosity deviation (∆μ), deviation of excess Gibbs free energy (∆GE), and excess surface tension (σE) were determined based on measured properties. Results showed a positive and negative trend for excess molar volume and excess surface tension, respectively. While fluctuation was observed in viscosity deviation and deviation of excess Gibbs free energy and results showed positive and negative values in different mole fraction. In addition, Redlich–Kister equation is proposed to predict excess properties of DSO and gas condensate mixtures.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree true
37 schema:isPartOf N2fba6608662b450598287946e01a2555
38 N8fc3e05ed39f403a8d324ea8be9fa626
39 sg:journal.1136742
40 schema:name Density, viscosity, surface tension, and excess properties of DSO and gas condensate mixtures
41 schema:pagination 119-129
42 schema:productId N2cde97639a7e40c6982bce978da3363b
43 N597dd0ed63f64e8388e9f9c9244e94c4
44 Nd81a73db17484fc6be6a17628e2b9f1a
45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092333294
46 https://doi.org/10.1007/s13203-017-0183-4
47 schema:sdDatePublished 2019-04-10T16:04
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher N161816acb403474e8f7918707a61f558
50 schema:url https://link.springer.com/10.1007%2Fs13203-017-0183-4
51 sgo:license sg:explorer/license/
52 sgo:sdDataset articles
53 rdf:type schema:ScholarlyArticle
54 N161816acb403474e8f7918707a61f558 schema:name Springer Nature - SN SciGraph project
55 rdf:type schema:Organization
56 N2cde97639a7e40c6982bce978da3363b schema:name dimensions_id
57 schema:value pub.1092333294
58 rdf:type schema:PropertyValue
59 N2fba6608662b450598287946e01a2555 schema:issueNumber 2-4
60 rdf:type schema:PublicationIssue
61 N4161584d8e5641438fd5a04895fbcece rdf:first sg:person.010232372146.88
62 rdf:rest Na7b076a9fb084dc982bf6e775de1114f
63 N597dd0ed63f64e8388e9f9c9244e94c4 schema:name readcube_id
64 schema:value 86676199473d3efdb7c8a375e571638abe50f533c1c74f5e25943375c73e0111
65 rdf:type schema:PropertyValue
66 N7439c2cdbe3a4d5695b503c9461fae02 rdf:first sg:person.013467704043.59
67 rdf:rest Nb7c31c355ce743ea89457850c158eb89
68 N8fc3e05ed39f403a8d324ea8be9fa626 schema:volumeNumber 7
69 rdf:type schema:PublicationVolume
70 Na7b076a9fb084dc982bf6e775de1114f rdf:first sg:person.015024045542.08
71 rdf:rest rdf:nil
72 Nb7c31c355ce743ea89457850c158eb89 rdf:first sg:person.015465727023.44
73 rdf:rest N4161584d8e5641438fd5a04895fbcece
74 Nbbc6522d492d4f9285d3c76d8bffe74b schema:affiliation https://www.grid.ac/institutes/grid.412491.b
75 schema:familyName Khorami
76 schema:givenName Ahmad
77 rdf:type schema:Person
78 Nd81a73db17484fc6be6a17628e2b9f1a schema:name doi
79 schema:value 10.1007/s13203-017-0183-4
80 rdf:type schema:PropertyValue
81 Nedad18a0aef74639b9149d877a712c46 rdf:first Nbbc6522d492d4f9285d3c76d8bffe74b
82 rdf:rest N7439c2cdbe3a4d5695b503c9461fae02
83 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
84 schema:name Chemical Sciences
85 rdf:type schema:DefinedTerm
86 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
87 schema:name Physical Chemistry (incl. Structural)
88 rdf:type schema:DefinedTerm
89 sg:journal.1136742 schema:issn 2190-5525
90 2190-5533
91 schema:name Applied Petrochemical Research
92 rdf:type schema:Periodical
93 sg:person.010232372146.88 schema:affiliation https://www.grid.ac/institutes/grid.412491.b
94 schema:familyName Azin
95 schema:givenName Reza
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010232372146.88
97 rdf:type schema:Person
98 sg:person.013467704043.59 schema:affiliation https://www.grid.ac/institutes/grid.412491.b
99 schema:familyName Jafari
100 schema:givenName Seyed Ali
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013467704043.59
102 rdf:type schema:Person
103 sg:person.015024045542.08 schema:affiliation https://www.grid.ac/institutes/grid.412491.b
104 schema:familyName Osfouri
105 schema:givenName Shahriar
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015024045542.08
107 rdf:type schema:Person
108 sg:person.015465727023.44 schema:affiliation https://www.grid.ac/institutes/grid.412491.b
109 schema:familyName Mohamadi-Baghmolaei
110 schema:givenName Mohamad
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015465727023.44
112 rdf:type schema:Person
113 sg:pub.10.1007/s10553-016-0751-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018184670
114 https://doi.org/10.1007/s10553-016-0751-9
115 rdf:type schema:CreativeWork
116 sg:pub.10.1007/s11176-005-0142-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002957072
117 https://doi.org/10.1007/s11176-005-0142-0
118 rdf:type schema:CreativeWork
119 sg:pub.10.1007/s13203-015-0107-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045929213
120 https://doi.org/10.1007/s13203-015-0107-0
121 rdf:type schema:CreativeWork
122 sg:pub.10.1134/s0965544108020060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017095849
123 https://doi.org/10.1134/s0965544108020060
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/j.fluid.2007.07.075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045467758
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/j.fuel.2013.04.071 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053266966
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.jct.2006.01.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007483462
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.jct.2011.05.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001630819
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.jct.2011.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011925980
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.molliq.2016.08.096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017494877
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.psep.2008.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009554961
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/s0378-3812(01)00504-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032774413
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/s0378-3812(01)00621-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040290828
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/s0378-3812(02)00095-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008970226
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1021/acs.energyfuels.6b01992 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055087078
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1021/acs.jced.5b00197 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055096827
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1021/acs.jced.5b00903 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055097150
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1021/ie50458a036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055629314
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1021/je010239a schema:sameAs https://app.dimensions.ai/details/publication/pub.1055879870
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1021/je025639s schema:sameAs https://app.dimensions.ai/details/publication/pub.1055880261
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1021/je900091b schema:sameAs https://app.dimensions.ai/details/publication/pub.1055889489
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1080/19443994.2014.926835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007280040
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1177/1091581813504227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063976712
162 rdf:type schema:CreativeWork
163 https://doi.org/10.15328/chemb_2011_478-81 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067734979
164 rdf:type schema:CreativeWork
165 https://doi.org/10.17122/ogbus-2016-5-125-139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068285814
166 rdf:type schema:CreativeWork
167 https://doi.org/10.2118/2008-030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096981568
168 rdf:type schema:CreativeWork
169 https://doi.org/10.2118/59774-ms schema:sameAs https://app.dimensions.ai/details/publication/pub.1096941070
170 rdf:type schema:CreativeWork
171 https://www.grid.ac/institutes/grid.412491.b schema:alternateName Persian Gulf University
172 schema:name Chemical Engineering Department, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, 7516913798, Bushehr, Iran
173 Petroleum Engineering Department, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, 7516913798, Bushehr, Iran
174 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...