A digital rock physics approach to effective and total porosity for complex carbonates: pore-typing and applications to electrical conductivity
Recent advances in micro-CT techniques allow imaging heterogeneous carbonates at multiple scales and including voxel-wise registration of images at different resolution or in different saturation states. This enables characterising such carbonates at the pore-scale targeting the optimizing of hydroc...
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Published in | E3S Web of Conferences Vol. 89; p. 5002 |
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Main Authors | , , , , , |
Format | Journal Article Conference Proceeding |
Language | English |
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Abstract | Recent advances in micro-CT techniques allow imaging heterogeneous carbonates at multiple scales and including voxel-wise registration of images at different resolution or in different saturation states. This enables characterising such carbonates at the pore-scale targeting the optimizing of hydrocarbon recovery in the face of structural heterogeneity, resulting in complex spatial fluid distributions. Here we determine effective and total porosity for different pore-types in a complex carbonate and apply this knowledge to improve our understanding of electrical properties by integrating experiment and simulation in a consistent manner via integrated core analysis. We consider Indiana Limestone as a surrogate for complex carbonate rock and type porosity in terms of macro- and micro-porosity using micro-CT images recorded at different resolution. Effective and total porosity fields are derived and partitioned into regions of macro-porosity, micro-porosity belonging to oolithes, and micro-porosity excluding oolithes’ rims. In a second step we use the partitioning of the micro-porosity to model the electrical conductivity of the limestone, matching experimental measurements by finding appropriate cementation exponents for the two different micro-porosity regions. We compare these calculations with calculations using a single cementation exponent for the full micro-porosity range. The comparison is extended to resistivity index at partial saturation, further testing the assignment of Archie parameters, providing insights into the regional connectivity of the different pore types. |
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AbstractList | Recent advances in micro-CT techniques allow imaging heterogeneous carbonates at multiple scales and including voxel-wise registration of images at different resolution or in different saturation states. This enables characterising such carbonates at the pore-scale targeting the optimizing of hydrocarbon recovery in the face of structural heterogeneity, resulting in complex spatial fluid distributions. Here we determine effective and total porosity for different pore-types in a complex carbonate and apply this knowledge to improve our understanding of electrical properties by integrating experiment and simulation in a consistent manner via integrated core analysis. We consider Indiana Limestone as a surrogate for complex carbonate rock and type porosity in terms of macro- and micro-porosity using micro-CT images recorded at different resolution. Effective and total porosity fields are derived and partitioned into regions of macro-porosity, micro-porosity belonging to oolithes, and micro-porosity excluding oolithes’ rims. In a second step we use the partitioning of the micro-porosity to model the electrical conductivity of the limestone, matching experimental measurements by finding appropriate cementation exponents for the two different micro-porosity regions. We compare these calculations with calculations using a single cementation exponent for the full micro-porosity range. The comparison is extended to resistivity index at partial saturation, further testing the assignment of Archie parameters, providing insights into the regional connectivity of the different pore types. |
Author | Sayedakram, Nawaf Arns, Christoph H. Shikhov, Igor Arns, Ji-Youn Jiang, Han Dai, Hongyi |
Author_xml | – sequence: 1 givenname: Christoph H. surname: Arns fullname: Arns, Christoph H. – sequence: 2 givenname: Han surname: Jiang fullname: Jiang, Han – sequence: 3 givenname: Hongyi surname: Dai fullname: Dai, Hongyi – sequence: 4 givenname: Igor surname: Shikhov fullname: Shikhov, Igor – sequence: 5 givenname: Nawaf surname: Sayedakram fullname: Sayedakram, Nawaf – sequence: 6 givenname: Ji-Youn surname: Arns fullname: Arns, Ji-Youn |
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CitedBy_id | crossref_primary_10_1016_j_advwatres_2020_103780 crossref_primary_10_1016_j_jhydrol_2022_127889 crossref_primary_10_1088_1361_6501_ac1b40 crossref_primary_10_1038_s41598_023_36096_2 |
Cites_doi | 10.2118/77719-MS 10.2118/160859-MS 10.2118/142819-PA 10.6028/NIST.IR.6269 10.1016/S0309-1708(00)00056-7 10.1103/PhysRevE.72.046304 10.1190/1.1444152 10.1007/s11242-012-0099-5 10.1016/j.physa.2004.03.057 10.1029/2001GL012987 10.2118/90368-PA 10.2118/20601-MS |
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References | Swanson (R2) 1985; 26 Hilpert (R16) 2001; 24 Bauer (R22) 2011; 84 Sen (R4) 1997; 62 R21 R23 Arns (R12) 2001; 28 R24 Arns (R13) 2005a; 46 Yanici (R20) 2013; 96 Sheppard (R25) 2004; 339 Archie (R1) 1942; 146 R3 R5 R6 R7 R8 Kumar (R19) 2011; 52 R9 R10 R11 R14 R18 R17 Arns (R15) 2005c; 72 |
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SubjectTerms | Carbonate rocks Carbonates Cementation Computed tomography Computer simulation Core analysis Electrical conductivity Electrical properties Electrical resistivity Heterogeneity Limestone Porosity Saturation |
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Title | A digital rock physics approach to effective and total porosity for complex carbonates: pore-typing and applications to electrical conductivity |
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