Transient Pressure Behavior of Reservoirs with Discrete Conductive Faults and Fractures View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-10

AUTHORS

Denis Biryukov, Fikri J. Kuchuk

ABSTRACT

Fractures and faults are common features of many well-known reservoirs. They create traps, serve as conduits to oil and gas migration, and can behave as barriers or baffles to fluid flow. Naturally fractured reservoirs consist of fractures in igneous, metamorphic, sedimentary rocks (matrix), and formations. In most sedimentary formations both fractures and matrix contribute to flow and storage, but in igneous and metamorphic rocks only fractures contribute to flow and storage, and the matrix has almost zero permeability and porosity. In this study, we present a mesh-free semianalytical solution for pressure transient behavior in a 2D infinite reservoir containing a network of discrete and/or connected finite- and infinite-conductivity fractures. The proposed solution methodology is based on an analytical-element method and thus can be easily extended to incorporate other reservoir features such as sealing or leaky faults, domains with altered petrophysical properties (for example, fluid permeability or reservoir porosity), and complicated reservoir boundaries. It is shown that the pressure behavior of discretely fractured reservoirs is considerably different from the well-known Warren and Root dual-porosity reservoir model behavior. The pressure behavior of discretely fractured reservoirs shows many different flow regimes depending on fracture distribution, its intensity and conductivity. In some cases, they also exhibit a dual-porosity reservoir model behavior. More... »

PAGES

239-268

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11242-012-0041-x

DOI

http://dx.doi.org/10.1007/s11242-012-0041-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1020630258


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/2008/0914", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Resources Engineering and Extractive Metallurgy", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Schlumberger (France)", 
          "id": "https://www.grid.ac/institutes/grid.410410.0", 
          "name": [
            "Schlumberger, 1 rue Henri Becquerel, 92142, Clamart Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Biryukov", 
        "givenName": "Denis", 
        "id": "sg:person.016500122721.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016500122721.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Schlumberger (France)", 
          "id": "https://www.grid.ac/institutes/grid.410410.0", 
          "name": [
            "Schlumberger, 1 rue Henri Becquerel, 92142, Clamart Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuchuk", 
        "givenName": "Fikri J.", 
        "id": "sg:person.012732611415.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012732611415.29"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0021-8928(60)90107-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011639644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-8928(60)90107-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011639644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0264-8172(00)00020-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012176189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2000wr000080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036328388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1306/61eedc4c-173e-11d7-8645000102c1865d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064944459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/12013-pa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068948313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/14311-pa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068950380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/17561-pa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068952981"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/24678-pa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068955020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/38442-pa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068956739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/426-pa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068956953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/4560-pa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068957089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/6014-pa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068958010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/6014-pa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068958010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/6056-pa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068958032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/66406-pa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068958572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/7490-pa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068959327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/22656-ms", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1096933930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/71617-ms", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1096953873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/6019-ms", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099106634"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-10", 
    "datePublishedReg": "2012-10-01", 
    "description": "Fractures and faults are common features of many well-known reservoirs. They create traps, serve as conduits to oil and gas migration, and can behave as barriers or baffles to fluid flow. Naturally fractured reservoirs consist of fractures in igneous, metamorphic, sedimentary rocks (matrix), and formations. In most sedimentary formations both fractures and matrix contribute to flow and storage, but in igneous and metamorphic rocks only fractures contribute to flow and storage, and the matrix has almost zero permeability and porosity. In this study, we present a mesh-free semianalytical solution for pressure transient behavior in a 2D infinite reservoir containing a network of discrete and/or connected finite- and infinite-conductivity fractures. The proposed solution methodology is based on an analytical-element method and thus can be easily extended to incorporate other reservoir features such as sealing or leaky faults, domains with altered petrophysical properties (for example, fluid permeability or reservoir porosity), and complicated reservoir boundaries. It is shown that the pressure behavior of discretely fractured reservoirs is considerably different from the well-known Warren and Root dual-porosity reservoir model behavior. The pressure behavior of discretely fractured reservoirs shows many different flow regimes depending on fracture distribution, its intensity and conductivity. In some cases, they also exhibit a dual-porosity reservoir model behavior.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11242-012-0041-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1050641", 
        "issn": [
          "0169-3913", 
          "1573-1634"
        ], 
        "name": "Transport in Porous Media", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "95"
      }
    ], 
    "name": "Transient Pressure Behavior of Reservoirs with Discrete Conductive Faults and Fractures", 
    "pagination": "239-268", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "624ca0cdacf7e19a366f6c33cb3e64b81b35720a097503d01534a815cce46989"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11242-012-0041-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1020630258"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11242-012-0041-x", 
      "https://app.dimensions.ai/details/publication/pub.1020630258"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:26", 
    "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_8693_00000521.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11242-012-0041-x"
  }
]
 

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/s11242-012-0041-x'

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/s11242-012-0041-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11242-012-0041-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11242-012-0041-x'


 

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

122 TRIPLES      21 PREDICATES      45 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11242-012-0041-x schema:about anzsrc-for:09
2 anzsrc-for:0914
3 schema:author N9afd76ae48934320b14f3fcd41779455
4 schema:citation https://doi.org/10.1016/0021-8928(60)90107-6
5 https://doi.org/10.1016/s0264-8172(00)00020-9
6 https://doi.org/10.1029/2000wr000080
7 https://doi.org/10.1306/61eedc4c-173e-11d7-8645000102c1865d
8 https://doi.org/10.2118/12013-pa
9 https://doi.org/10.2118/14311-pa
10 https://doi.org/10.2118/17561-pa
11 https://doi.org/10.2118/22656-ms
12 https://doi.org/10.2118/24678-pa
13 https://doi.org/10.2118/38442-pa
14 https://doi.org/10.2118/426-pa
15 https://doi.org/10.2118/4560-pa
16 https://doi.org/10.2118/6014-pa
17 https://doi.org/10.2118/6019-ms
18 https://doi.org/10.2118/6056-pa
19 https://doi.org/10.2118/66406-pa
20 https://doi.org/10.2118/71617-ms
21 https://doi.org/10.2118/7490-pa
22 schema:datePublished 2012-10
23 schema:datePublishedReg 2012-10-01
24 schema:description Fractures and faults are common features of many well-known reservoirs. They create traps, serve as conduits to oil and gas migration, and can behave as barriers or baffles to fluid flow. Naturally fractured reservoirs consist of fractures in igneous, metamorphic, sedimentary rocks (matrix), and formations. In most sedimentary formations both fractures and matrix contribute to flow and storage, but in igneous and metamorphic rocks only fractures contribute to flow and storage, and the matrix has almost zero permeability and porosity. In this study, we present a mesh-free semianalytical solution for pressure transient behavior in a 2D infinite reservoir containing a network of discrete and/or connected finite- and infinite-conductivity fractures. The proposed solution methodology is based on an analytical-element method and thus can be easily extended to incorporate other reservoir features such as sealing or leaky faults, domains with altered petrophysical properties (for example, fluid permeability or reservoir porosity), and complicated reservoir boundaries. It is shown that the pressure behavior of discretely fractured reservoirs is considerably different from the well-known Warren and Root dual-porosity reservoir model behavior. The pressure behavior of discretely fractured reservoirs shows many different flow regimes depending on fracture distribution, its intensity and conductivity. In some cases, they also exhibit a dual-porosity reservoir model behavior.
25 schema:genre research_article
26 schema:inLanguage en
27 schema:isAccessibleForFree true
28 schema:isPartOf N86ba6fe5f66c47ba9e8be5faf74c7f62
29 N90e7fbc6a21d4cabb2fe14425a171814
30 sg:journal.1050641
31 schema:name Transient Pressure Behavior of Reservoirs with Discrete Conductive Faults and Fractures
32 schema:pagination 239-268
33 schema:productId N8382759049584697b5b5f258348c773a
34 Nac0c2916d8d84086ac7723c76c6325ba
35 Nd991b85a1f9c4f08be47f55213ee76f2
36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020630258
37 https://doi.org/10.1007/s11242-012-0041-x
38 schema:sdDatePublished 2019-04-10T23:26
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher Nbf99aab4e31c4c91b6204d3a67248bc3
41 schema:url http://link.springer.com/10.1007%2Fs11242-012-0041-x
42 sgo:license sg:explorer/license/
43 sgo:sdDataset articles
44 rdf:type schema:ScholarlyArticle
45 N8382759049584697b5b5f258348c773a schema:name doi
46 schema:value 10.1007/s11242-012-0041-x
47 rdf:type schema:PropertyValue
48 N85afe2d8c1294f33912ec48420eead24 rdf:first sg:person.012732611415.29
49 rdf:rest rdf:nil
50 N86ba6fe5f66c47ba9e8be5faf74c7f62 schema:issueNumber 1
51 rdf:type schema:PublicationIssue
52 N90e7fbc6a21d4cabb2fe14425a171814 schema:volumeNumber 95
53 rdf:type schema:PublicationVolume
54 N9afd76ae48934320b14f3fcd41779455 rdf:first sg:person.016500122721.16
55 rdf:rest N85afe2d8c1294f33912ec48420eead24
56 Nac0c2916d8d84086ac7723c76c6325ba schema:name dimensions_id
57 schema:value pub.1020630258
58 rdf:type schema:PropertyValue
59 Nbf99aab4e31c4c91b6204d3a67248bc3 schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 Nd991b85a1f9c4f08be47f55213ee76f2 schema:name readcube_id
62 schema:value 624ca0cdacf7e19a366f6c33cb3e64b81b35720a097503d01534a815cce46989
63 rdf:type schema:PropertyValue
64 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
65 schema:name Engineering
66 rdf:type schema:DefinedTerm
67 anzsrc-for:0914 schema:inDefinedTermSet anzsrc-for:
68 schema:name Resources Engineering and Extractive Metallurgy
69 rdf:type schema:DefinedTerm
70 sg:journal.1050641 schema:issn 0169-3913
71 1573-1634
72 schema:name Transport in Porous Media
73 rdf:type schema:Periodical
74 sg:person.012732611415.29 schema:affiliation https://www.grid.ac/institutes/grid.410410.0
75 schema:familyName Kuchuk
76 schema:givenName Fikri J.
77 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012732611415.29
78 rdf:type schema:Person
79 sg:person.016500122721.16 schema:affiliation https://www.grid.ac/institutes/grid.410410.0
80 schema:familyName Biryukov
81 schema:givenName Denis
82 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016500122721.16
83 rdf:type schema:Person
84 https://doi.org/10.1016/0021-8928(60)90107-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011639644
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1016/s0264-8172(00)00020-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012176189
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1029/2000wr000080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036328388
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1306/61eedc4c-173e-11d7-8645000102c1865d schema:sameAs https://app.dimensions.ai/details/publication/pub.1064944459
91 rdf:type schema:CreativeWork
92 https://doi.org/10.2118/12013-pa schema:sameAs https://app.dimensions.ai/details/publication/pub.1068948313
93 rdf:type schema:CreativeWork
94 https://doi.org/10.2118/14311-pa schema:sameAs https://app.dimensions.ai/details/publication/pub.1068950380
95 rdf:type schema:CreativeWork
96 https://doi.org/10.2118/17561-pa schema:sameAs https://app.dimensions.ai/details/publication/pub.1068952981
97 rdf:type schema:CreativeWork
98 https://doi.org/10.2118/22656-ms schema:sameAs https://app.dimensions.ai/details/publication/pub.1096933930
99 rdf:type schema:CreativeWork
100 https://doi.org/10.2118/24678-pa schema:sameAs https://app.dimensions.ai/details/publication/pub.1068955020
101 rdf:type schema:CreativeWork
102 https://doi.org/10.2118/38442-pa schema:sameAs https://app.dimensions.ai/details/publication/pub.1068956739
103 rdf:type schema:CreativeWork
104 https://doi.org/10.2118/426-pa schema:sameAs https://app.dimensions.ai/details/publication/pub.1068956953
105 rdf:type schema:CreativeWork
106 https://doi.org/10.2118/4560-pa schema:sameAs https://app.dimensions.ai/details/publication/pub.1068957089
107 rdf:type schema:CreativeWork
108 https://doi.org/10.2118/6014-pa schema:sameAs https://app.dimensions.ai/details/publication/pub.1068958010
109 rdf:type schema:CreativeWork
110 https://doi.org/10.2118/6019-ms schema:sameAs https://app.dimensions.ai/details/publication/pub.1099106634
111 rdf:type schema:CreativeWork
112 https://doi.org/10.2118/6056-pa schema:sameAs https://app.dimensions.ai/details/publication/pub.1068958032
113 rdf:type schema:CreativeWork
114 https://doi.org/10.2118/66406-pa schema:sameAs https://app.dimensions.ai/details/publication/pub.1068958572
115 rdf:type schema:CreativeWork
116 https://doi.org/10.2118/71617-ms schema:sameAs https://app.dimensions.ai/details/publication/pub.1096953873
117 rdf:type schema:CreativeWork
118 https://doi.org/10.2118/7490-pa schema:sameAs https://app.dimensions.ai/details/publication/pub.1068959327
119 rdf:type schema:CreativeWork
120 https://www.grid.ac/institutes/grid.410410.0 schema:alternateName Schlumberger (France)
121 schema:name Schlumberger, 1 rue Henri Becquerel, 92142, Clamart Cedex, France
122 rdf:type schema:Organization
 




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


...