Evaluating methods for logging the pore structure of tight sandstone reservoir in Chang 6 member of the Yanchang Formation, Ordos Basin

• Autorzy: Zhong Gaorun , Li Yajun , Tan Yuhan

Identyfikatory

DOI

10.24425/ace.2024.150990

• Języki publikacji: EN

Abstrakty

EN

Pore structure is a key parameter used to evaluate reservoir quality. At present, experimental method is the most important method to analyze reservoir pore structure. However, coring data may be limited, and it is not possible to perform experimental analyses on all cores. Therefore, the researchers explored the use of logging techniques to study the pore structure of reservoirs. The relationship between pore geometry index (PGI), pore permeability and mercury injection parameters was analyzed based on mercury injection experiment, thin slice analysis, production test data and well logging data. These results can then determine the response characteristics of the logging parameters that correspond to different pore structures and establish a method of modeling the PGI through a multiple parameter regression and neural network method. This research shows that: (1) PGI can quantitatively characterize pore structure, and the maximum pore throat radius, displacement pressure and flow unit index have the highest correlation with PGI, which can be accurately characterized by practical formulas; (2) Natural gamma ray, natural potential amplitude difference, acoustic transit time, density, compensated neutron, deep and shallow resistivity logging data can reflect the quality of the reservoir pore structure. However, there are limitations in evaluating reservoir pore structure with a single logging parameter. Multi-parameter regression method and neural network method realize the quantitative calculation of pore structure from the perspective of multi-parameter and nonlinear. (3) The neural network method and multiple parameter regression method are used to study the pore structure of reservoir and realize the continuous quantitative calculation of pore structure index in a single well. It can be used in uncored analysis Wells and as one of the parameters to evaluate reservoir pore structure.

• Wydawca: Komitet Inżynierii Lądowej i Wodnej PAN ; Politechnika Warszawska, Wydział Inżynierii Lądowej
• Czasopismo: Archives of Civil Engineering
• Rocznik: 2024
• Tom: Vol. 70, nr 3
• Strony: 387--400
• Opis fizyczny: Bibliogr. 25 poz., il., tab.

Twórcy

autor

Zhong Gaorun

• School of Petroleum Engineering and Environmental Engineering, Yan’an University, Yan’an, China

• https://orcid.org/0000-0002-3960-7702

autor

Li Yajun

• School of Petroleum Engineering and Environmental Engineering, Yan’an University, Yan’an, China

• https://orcid.org/0000-0001-6768-7298

autor

Tan Yuhan

• CNLC Geology Research Institute, Xi’an, China

• https://orcid.org/0000-0002-+0809-1926

Bibliografia

• [1] G.R. Zhong, “Optimization of logging saturation interpretation model under the constraint of reservoir conditions-A case study of the Chang 6 member Yanchang Formation in the central Ordos Basin”, Xi’an: Northwest University, 2022, doi: 10.27405/d.cnki.gxbdu.2022.001134.
• [2] R. Zhu, S. Wu, L. Su, J. Cui, Z. Mao, and X. Zhang, “Problems and future works of porous texture characterization of tight reservoirs in China”, Acta Petrolei Sinica, vol. 37, no. 11, pp. 1323-1336, 2016, doi: 10.7623/syxb201611001.
• [3] S. Wu, R. Zhu, J. Cui, Z. Mao, K. Liu, and X. Wang, “Ideas and prospect of porousstructure characterization in unconventional reservoirs”, Geological Review, vol. 66, supp1, pp. 151-154, 2020, doi: 10.16509/j.georeview.2020.s1.058.
• [4] Y. Xue, J. Liu, P. G. Ranjith, F. Gao, H. Xie, and J.Wang, “Changes in microstructure and mechanical properties of low-permeability coal induced by pulsating nitrogen fatigue fracturing tests”, Rock Mechanics and Rock Engineering, vol. 55, pp. 7469-7488, 2022, doi: 10.1007/s00603-022-03031-2.
• [5] J.M. Davis, N.D. Roy, P.S. Mozley, and J.S. Hall, “The effect of carbonate cementation on permeability heterogeneity in fluvial aquifers: An outcrop analog study”, Sedimentary Geology, vol. 184, no. 3-4, pp. 267–280, 2006, doi: 10.1016/j.sedgeo.2005.11.005.
• [6] T.T. Eaton, “On the importance of geological heterogeneity for flow simulation”, Sedimentary Geology, vol. 184, no. 3-4, pp. 187-201, 2006, doi: 10.1016/j.sedgeo.2005.11.002.
• [7] Y. Zhao, M. Zhao, Y. Zhao, B. Wang, and B. Cao, “A new appoach of analyzing digital image of pore system of carbonate rocks”, Natural Gas Industry, vol. 26, no. 12, pp. 75-78, 2006.
• [8] B.B. Bowen, B.A. Martini, M.A. Chan, and W.T. Parry, “Reflectance spectroscopic mapping of diagenetic heterogeneities and fluid-flow pathways in the Jurassic Navajo Sandstone”, AAPG Bulletin, vol. 91, no. 2, pp. 173-190, 2007, doi: 10.1306/08220605175.
• [9] P. Németh, M. Tribaudino, E. Bruno, and P.R. Buseck, “TEM investigation of Ca-rich plagioclase: Structural β uctuations related to the I1-P1 phase transition”, American Mineralogist, vol. 92, no. 7, pp. 1080-1086, 2007, doi: 10.2138/am.2007.2504.
• [10] J. Mayer, L.A. Giannuzzi, T. Kamino, and M. Joseph, “TEM sample preparation and FIB-induced damage”, MRS Bulletin, vol. 32, no. 5, pp. 400-407, 2007, doi: 10.1557/mrs2007.63.
• [11] H. Wu, C. Zhang, Y. Ji, R. Liu, S. Cao, S. Chen, Y. Zhang, Y. Wang, W. Du, and G. Liu, “Pore throat size characterization of tight sandstons and its cantrol on reservoir physical properties: A case study of YanChang Formation, eastern Gansu, Ordos Basin”, Acta Petrolei Sinica, vol. 38, no. 8, pp. 876-887, 2017, doi: 10.7623/syxb201708003.
• [12] A.P. Radlinski, M. Mastalerz, A.L. Hinde, M. Hainbuchneer, H. Rauch, M. Baron, J. Lin, L. Fan, and P. Thiyagarajan, “Application of SAXS and SANS in evaluation of porosity, pore size distributionand surface area of coal”, International Journal of Coal Geology, vol. 59, no. 3/4, pp. 245-271, 2004, doi: 10.1016/j.coal.2004.03.002.
• [13] Y.B. Melnichenko, A.P. Radlinski, M. Mastalerz, G. Cheng, and J. Rupp, “Characterization of the CO2 fluid adsorption in coal as a function of pressure using neutron scattering techniques (SANS and USANS)”, International Journal of Coal Geology, vol. 77, no. 1/2, pp. 69-79, 2009, doi: 10.1016/j.coal.2008.09.017.
• [14] J. Bahadur, Y.B. Melnichenko, M. Mastalerz, A. Furmann, and C.R. Clarkson, “Hierarchical pore morphology of Cretaceous shale: A small-angle neutron scatteringand ultrasmall-angle neutron scattering study”, Energy and Fuels, vol. 28, no. 10, pp. 6336-6344, 2014, doi: 10.1021/ef501832k.
• [15] A.A. Hinai, R. Rezaee, L. Esteban, and M. Labani, “Comparisons of pore size distribution: A case from the Western Australian gas shale formations”, Journal of Unconventional Oil and Gas Resources, vol. 8, pp. 1-13, 2014, doi: 10.1016/j.juogr.2014.06.002.
• [16] J.J. Cao, C.B. Chen, J.L. Luo, and X. Wang, “Impact of authigenic clay minerals on micro-heterogeneity of deep water tight sandstone reservoirs: a case study of Triassic Chang 6 oil reservoir in Heshui area, southwestern Ordos Basin”, Lithologic Reservoirs, vol. 32, no. 6, pp. 36-49, 2020, doi: 10.12108/yxyqc.20200604.
• [17] X. Wu, L. Ji, W. Wu, F. Li, L. Zeng, C. Duan, H. Wei, and Y. Li, “Classification and characterization of low permeability sandstone reservoir based on complex pore structure analysis”, Journal of Northwest University (Natural Science Edition), vol. 50, no. 4, pp. 615-628, 2020, doi: 10.16152/j.cnki.xdxbzr.2020-04-013.
• [18] J. Zhang, H. Liu, and W. Liu, “Application of NMR data to evaluation of deep glutenite pore structure and reservoir validity”, Well Logging Technology, vol. 6, no. 3, pp. 256-260, 2012, doi: 10.16489/j.issn.1004-1338.2012.03.009.
• [19] T. Zhang, X.G. Zhang, C.Y. Lin, and C. Dong, “Evaluation of pore structure in low permeability reservoirs based on common well logs”, Journal of Chengdu University of Technology (Science & Technology Edition), vol. 41, no. 4, pp. 413-421, 2014, doi: 10.3969/j.issn.1671-9727.2014.04.02.
• [20] Y. Xue, P.G. Ranjith, Y. Chen, C. Cai, F. Gao, and X. Liu, “Nonlinear mechanical characteristics and damage constitutive model of coal under CO2 adsorption during geological sequestration”, Fuel, vol. 331, art. no. 125690, 2023, doi: 10.1016/j.fuel.2022.125690.
• [21] X. Zhao, B. Liu, R. Guo, D. Zhang, Y. Li, and Z. Tian, “Reservoir characterization and its application to development”, Petroleum Geology and Experiment, vol. 39, no. 2, pp. 287-294, 2017, doi: 10.11781/sysydz201702287.
• [22] T. Zhang and P. Hao, “Fine charactization of the reservoir space in deep ultra-low porosity and ultra-low permeability glutenite in Bozhong Sag”, Bulletin of Geological Science and Technology, vol. 39, no. 4, pp. 117-124, 2020, doi: 10.19509/j.cnki.dzkq.2020.0415.
• [23] G.R. Zhong, X.L. Zhang, Z. Yang, J. Lu, X. Zhao, and X. Wang, “Logging identification method for fractures in tight sandstone reservoirs of Yanchang Formation in Dingbian-Zhidan area, Ordos Basin”, Progress in Geophysics, vol. 36, no. 4, pp. 1669-1675, 2021, doi: 10.6038/pg2021EE0318.
• [24] T. Godlewski, E. Koda, M. Mitew-Czajewska, S. Łukasik, and S. Rabarijoely, “Essential georisk factors in the assessment of the influence of underground structures on neighboring facilities”, Archives of Civil Engineering, vol. 69, no. 3, pp. 113-128, 2023, doi: 10.24425/ace.2023.146070.
• [25] Z.H. Zhang, J.B. Liao, Z.Y. Li, X.M. Zheng, J. Di, and P. Yu, “Fast prediction of productivity level of low permeability reserviors based on multilayer perceptron: a case study of Chang3,4+5 reservoirs of Baibao-Nanliang area in Ordos basion”, Progress in Geophysics, vol. 34, no. 5, pp. 1962-1970, 2019, doi: 10.6038/pg2019CC0417.