Scholarly record
SCALE DEPENDENCY INVESTIGATION FOR POROUS MEDIA - EXPERIMENTAL AND NUMERICAL APPROACHES FOR CARBONATE ROCKS
Abstract
It is well known that the main purpose for all upscaling techniques related with homogenization of initial any heterogeneous property and substituting it with an effective value. Thus, the essence of upscaling is computing weighted average on the fine-grid to form coarse-grid considering representative elementary volume. The goal of this research work was experimental investigations of pore space distribution of carbonate rocks. Samples were collected from the Upper Permian ages core data. Samples bulk porosity were obtained by routine core analysis (RCA) technics. Inner structure and pore space distribution on microscale level were obtained by X-Ray computer tomography technics. Surface porosity was obtained using photogrammetry for saturated with UV-visible inks cubic shape samples. Hereinafter, texture maps for each cube's side were classified to receive binary images shown "pore-none pore" distribution. Geostatistical interpolation methods such as indicator kriging (IK), sequential indicator simulation (SISIM) and single normal equation simulation (SNESIM) were used for reconstruction of porous media in cubic samples from surface categorical images. The experimental results demonstrate that the structures of porous media computed using SNESIM are most similar to those of X-Ray tomography data and comparable with bulk porosity value. Outcomes may assist to optimize the development of carbonate reservoirs.
Publication Impact Profile
Publication details
References14
Fadeeva N.P., Kozlova E.V., Poludetkina E.N., Shardanova T.A., Pronina N.V., Stupakova A.V., Kalmykov G.A. and Khomyak A.N., The hydrocarbon-generation potential of the Domanik rocks in the Volga-Ural petroliferous basin, Moscow University Geology Bulletin, vol. 71, issue. 1, pp. 41-49., 2016.
Peterson J.A. and Clarke J.W., , Geology of the Volga-Ural petroleum province and detailed description of the Romashkino and Arlan oil fields, U.S. Geological Survey Open-File Report 83-711, 90 p., 1983.
Zaydelson M.I., Surovikov E.Ya., Vaynbaum S.Ya., Bellerova V.A. and Ashirov K.B., Oil and gas potential of the Domanikoid associations of the Volga-Ural Province, International Geology Review, vol. 33, issue 3, pp. 243-262.
Voitovich S.E., Dusmanov E.N., Khamidullin D.N., Mikulinskii E.V., The results generalization of special studies of domanic sediments of the 444 deposit of the Romashkino field, Georesursy, Special issue, pp. 14-21, 2018, DOI: 10.18599/grs.2018.SI.14-21
Durlofsky, L.J. Upscaling and gridding of fine scale geological models for flow simulation. In: Paper Presented at the 8th International Forum on Reservoir Simulation, Iles Borromees, Stresa, 1-59, 2005
Dasheng Qi & Tim Hesketh. An Analysis of Upscaling Techniques for Reservoir Simulation, Petroleum Science and Technology, 23:7-8, 827-842, 2005
Catuneanu, O. Principles of Sequence Stratigraphy. Elsevier Science, 1st Edition, 386, 2006
Zhang, M.L., Zhang, Y.Z. and Yu, G.M. Applied Geostatisitcs Analysis for Reservoir Characterization Based on the SGeMS (Stanford Geostatistical Modeling Software). Open Journal of Yangtze Gas and Oil, 2, 45-66, 2017
Webber, K. J. and Van Geuns, L.C. (1990) Framework for Constructing Clastic Reservoir Simulation Models. Journal of Petroleum Technology, 42, 1-248, 1990
Novak-Zelenika, K., Vidaček, R., Ilijaš, T. and Pavić, P. Application of deterministic and stochastic geostatistical methods in petrophysical modelling – a case study of Upper Pannonian reservoir in Sava Depression. Journal of the Croatian Geological Survey and the Croatian Geological Society, 70(2), 105-114, 2017
T. Zhang, D. L. Li, D. T. Lu, and J. Q. Yang. Research on the reconstruction method of porous media using multiple-point geostatistics, SCIENCE CHINA: Physics, Mechanics & Astronomy, 53(1), 122-134, 2010
Zhao et al.: Thickness, porosity, and permeability prediction: comparative studies and application of the geostatistical modeling in an Oil field. Environmental Systems Research, 3:7., 2014
Starovoytov A.V., Kosarev V.E., Fattakhov A.V. Technology of photogrammetrical imaging and processing of the sample surface aimed to porosity definition // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 2018. Vol. 18. No. 2.3. pp. 225-232.
Starovoytov A.V., Saifutdinova. Spatial information recording procedure involving methods of close range photogrammetry as applied to archaeological researches // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. Albena Resort, Bulgaria. Jun 2015. Vol. 1. pp. 801-806.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
