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المؤلفAl-Raoush, R.
المؤلفHannun, J.
المؤلفJarrar, Z.
المؤلفAlshibli, K.
المؤلفJung, J.
تاريخ الإتاحة2023-06-04T07:16:34Z
تاريخ النشر2019
اسم المنشور3rd EAGE WIPIC Workshop: Reservoir Management in Carbonates
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.3997/2214-4609.201903137
معرّف المصادر الموحدhttp://hdl.handle.net/10576/43871
الملخصIn sandy reservoirs, selecting a representative elementary volume (REV) for the pore scale, is essential for predictive upscaling toward the reservoir scale. The porosity and tortuosity of a sand media are used for REV selection. The profile and size of sand grains, forms the voids morphology; as a result, hypothetically the grains size distribution can provide an indication to whether a volume size is representative of the media. Linking voids based characteristics such as tortuosity and porosity, to their solids counterparts like grains distribution; can help in standardizing REVs for rocks and sands. The aim of the study is to use grains size, uniformity coefficient and conformity coefficient; for categorizing the REV of porosity and tortuosity. Synchrotron X-ray micro-computed tomography of 15 unconsolidated sand system was studied. In order to determine the minimum REV of porosity and tortuosity, 20 sub-volumes for each system was generated. Micro tomography was shown to be an effective tool in measuring sand grains and voids space characteristics. REV analysis showed that a bigger size for porosity was always required compared to that of tortuosity. Categorizing sand systems based on the uniformity and conformity indices, was shown to be ineffective for the purpose of REV selection. EAGE 2019.
راعي المشروعThis research was made possible by the National Priorities Research Program (NPRP) grant #NPRP8-594-2-244 from Qatar National Research Fund (a member of Qatar Foundation). The findings achieved herein are solely the responsibility of the authors. The SMT images were collected using the X-ray Operations and Research Beamline Station 13-BMD at Argonne Photon Source (APS), Argonne National Laboratory. The authors thank Dr. Mark Rivers of APS for help in performing the SMT scans. They also acknowledge the support of GeoSoilEnviroCARS (Sector 13), which is supported by the National Science Foundation, USA, Earth Sciences (EAR-1128799), and the US Department of Energy (DOE), Geosciences (DE-FG02-94ER14466). Use of the Advanced Photon Source, an Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory, was supported by DOE, USA under contract no. DE-AC02-06CH11357.
اللغةen
الناشرEuropean Association of Geoscientists and Engineers, EAGE
الموضوعCarbonates
Computerized tomography
Porosity
Sand
Conformity index
Descriptors
Effective tool
Micro-tomography
Representative elementary volume
Sand systems
Synchrotron x rays
Unconsolidated sands
Reservoir management
العنوانGrouping minimum REV of porosity and tortuosity based on descriptors of sand grains
النوعConference Paper
الصفحات1-5
dc.accessType Abstract Only


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