APPLIED GEOPHYSICS
 
        首页  |  版权声明  |  期刊介绍  |  编 委 会  |  收录情况  |  期刊订阅  |  下载中心  |  联系我们  |  English
应用地球物理  2018, Vol. 15 Issue (2): 208-221    DOI: 10.1007/s11770-018-0685-6
论文 最新目录 | 下期目录 | 过刊浏览 | 高级检索 Previous Articles  |  Next Articles  
基于差分方程和通用阿尔奇方程的含黄铁矿混合泥质砂岩电阻率模型
郭志华1,2,宋延杰1,2,唐晓敏1,2,王超1,3
1. 东北石油大学地球科学学院,黑龙江 大庆 163318
2. 非常规油气成藏与开发省部共建国家重点实验室培育基地,黑龙江 大庆 163318
3. 大庆油田有限责任公司第九采油厂地质大队,黑龙江 大庆 163000
Conductivity model for pyrite-bearing laminated and dispersed shaly sands based on a differential equation and the generalized Archie equation
Guo Zhi-Hua1,2, Song Yan-Jie1,2, Tang Xiao-Min1,2, and Wang Chao1,3
1. College of Geo-science, Northeast Petroleum University, Heilongjiang Daqing 163318, China.
2. Accumulation and Development of Unconventional Oil and Gas, State Key Laboratory Cultivation Base jointly constructed by Heilongjiang Province and the Ministry of Science and Technology, Heilongjiang Daqing 163318, China.
3. No. 9 Oil Production Company Geological Team of Daqing Oilfield Company Ltd, Heilongjiang Daqing 163000, China.
 全文: PDF (762 KB)   HTML ( KB)   输出: BibTeX | EndNote (RIS)      背景资料
摘要 针对现有导电模型很难描述含黄铁矿混合泥质砂岩储层导电规律的难题,本文设计并压制了黄铁矿骨架纯岩样,以及不同分散泥质、层状泥质和黄铁矿含量的石英骨架人造岩样,测量了岩样岩电及配套实验数据,从实验角度分析了黄铁矿含量变化对岩石导电性的影响。考虑到岩石中不同物质成分间导电特性的差异,提出将含黄铁矿混合泥质砂岩分为层状泥质、石英颗粒、黄铁矿颗粒、油气、分散粘土颗粒、微孔隙水和可动水,将电导率差分方程与通用阿尔奇方程相结合,利用电导率差分方程描述在主介质中添加分散相介质的导电规律,而利用通用阿尔奇方程描述两种导电介质组成的混合介质的导电规律,在此基础上利用并联导电理论描述分散泥质砂岩与层状泥质的导电规律,建立了一种能够有效描述含黄铁矿混合泥质砂岩导电特性的新型通用电阻率模型。理论验证表明所建立的电阻率模型满足物理约束条件,且预测的导电规律与实验规律相一致,即随着黄铁矿颗粒含量和电导率的增加, 和 值均减小。利用实验测量的46块人造岩样在不同含油饱和度下的岩电实验数据,验证了该模型完全能够描述黄铁矿骨架纯岩样、石英骨架混合泥质砂岩岩样,以及骨架含部分黄铁矿的混合泥质砂岩岩样的导电规律。实现了含黄铁矿混合泥质砂岩地层饱和度的准确求取,有效的提高了复杂储层测井解释评价的精度。
服务
把本文推荐给朋友
加入我的书架
加入引用管理器
E-mail Alert
RSS
作者相关文章
关键词含黄铁矿混合泥质砂岩   人造岩心实验   差分方程和通用阿尔奇方程   电阻率模型   理论与实验验证     
Abstract: The conductance of pyrite-bearing laminated and dispersed shaly sands is not well understood and resistivity models for pyrite-bearing shaly sands are nonexistent. Thus, we first synthesize clean pyrite-matrix samples, and quartz-matrix samples with variable laminated shale, dispersed shale, and pyrite content and then perform petrophysics experiments to assess the effect of pyrite content on the conductivity of pyrite-bearing shaly sands. Second, based on the differences in conductivity and conduction pathways and geometries because of the variable composition of the pyrite-bearing laminated and dispersed shaly sands, we divide the shaly sands into their components, i.e., laminated shale, quartz grains, pyrite grains, hydrocarbon, dispersed shale, microscopic capillary water, and mobile water. A generalized resistivity model is proposed to describe the conductivity of pyrite-bearing laminated and dispersed shaly sands, based on the combined conductivity differential equation and generalized Archie equation. In the generalized resistivity model, the conductivity differential equation is used to describe the conductivity of dispersed inclusions in a host, whereas the generalized Archie equation is used to describe the conductivity of two conducting phases. Moreover, parallel conductance theory is used to describe the conductivity of dispersed shaly sands and laminated shale. Theoretical analysis suggests that the proposed model satisfies the physical constraints and the model and experimental results agree. The resistivity and resistivity index of shaly sands decrease with increasing conductivity and pyrite. Finally, the accuracy of the resistivity model is assessed based on experimental data from 46 synthetic core samples with different oil saturation. The model can describe the conductivity of clean pyrite-matrix samples, and quartz-matrix samples with different volumes of laminated shale, dispersed shale, and pyrite. An accurate saturation model of pyrite-bearing laminated and dispersed shaly sands is thus obtained and the log data interpretation in complex shaly sands can improve with the proposed model.
Key wordsPyrite   shale   sand   conductivity   Archie’s equation   differential equation   
基金资助:

本研究由国家自然科学基金(编号:41274110)和东北石油大学研究生创新科研项目(编号:YJSCX2016-003NEPU)联合资助。

引用本文:   
. 基于差分方程和通用阿尔奇方程的含黄铁矿混合泥质砂岩电阻率模型[J]. 应用地球物理, 2018, 15(2): 208-221.
. Conductivity model for pyrite-bearing laminated and dispersed shaly sands based on a differential equation and the generalized Archie equation[J]. APPLIED GEOPHYSICS, 2018, 15(2): 208-221.
 
[1] Berg, C. R., 1998, A comparison of SATORI and HB effective-medium conductivity models: The Log Analyst, 39(5), 34-39.
[2] Bian, H. L., Guan, J., Mao, Z. Q., et al., 2014, Pore structure effect on reservoir electrical properties and well logging evaluation: Applied Geophysics, 11(4), 374-383.
[3] Bootle, R., 2016, Graphical solutions for laminated and dispersed shaly sands: Petrophysics, 57(1), 51−59.
[4] Bussian, A. E., 1982, A generalized Archie equation: SPWLA 23th Annual Logging Symposium, society of Petrophysicists and Well-Log Analysts, Corpus Christi, Texas.
[5] Bussian, A. E., 1983, Electrical conductance in a porous medium: Geophysics, 60(9), 1258-1268.
[6] Chen, D. X., 2011, On interpretation method of complex oil zone and water zone in southern Gulong area: MSc. Thesis, Northeast Petroleum University.
[7] Chen, J. Q., 2010, Study on the effective medium pore combination resistivity model for low porosity and permeability shaly sand reservoir in the East China Sea: MSc. Thesis, Daqing petroleum institute.
[8] Clavier, C., Coates, G., and Dumanoir, J., 1984, The theoretical and experimental bases for the dual-water model for interpretation of shaly sands: Society of Petroleum Engineers Journal, 24(2), 153-168.
[9] De Kuijper, A., Sandor, R. K. J., Hofman, J. P., et al., 1996, Electrical conductivities in oil-bearing shaly sand accurately described with the satori saturation model: The Log Analyst, 37(5), 22-31.
[10] Garcia, A. P., Jagadisan, A., Rostami, A., and Heidari, Z., 2017, A new resistivity-based model for improved hydrocarbon saturation assessment in clay-rich formations using quantitative clay network geometry and rock fabric: SPWLA 58th Annual Logging Symposium, Society of Petrophysicists and Well-log Analysts, Oklahoma City, Oklahoma, USA.
[11] Glover, P. W. J., 2009, What is the cementation exponent? A new interpretation: The leading Edge, 28(1), 82-85.
[12] Glover, P. W. J., 2010, A generalized Archie’s law for n phases: Geophysics, 75(6), E247-E265.
[13] Glover, P. W. J., Hole, M. J., and Pous, J., 2000, A modified Archie’s law for two conducting phases: Earth and Planetary Science Letters, 180(3), 369-383.
[14] Giao, P. H., 2016, Geoelectric modeling-based estimation of shale resistivity to enhance water saturation calculation for a low-resistivity shaly sand formation in the Cuu Long basin, Vietnam: 2016 SEG International Exposition and Annual Meeting, Society of Exploration Geophysicists, Dallas, Texas.
[15] Givens, W. W., and Schmidt, E. J., 1988, A generic electrical conduction model for low-contrast resistivity sandstones: SPWLA 29th Annual Logging Symposium, Society of Petrophysicists and Well-Log Analysts, San Antonio, Texas.
[16] Koelman, J. M. V. A., and De Kuijper, A., 1997, An effective medium model for the electric conductivity of an n-component anisotropic percolating mixture phases: PHYSICA (Section A), 247(1), 10-22.
[17] Li, Z. B., and Mo, X. W., 1999, Study on the electric property of shaly sand and its interpretation method: Journal of Geoscientific Research in Northeast Asia, 2(1), 110-114.
[18] Luo, M., Wood, J. R., and Cathles, L. M., 1994, Prediction of thermal conductivity in reservoir rocks using fabric theory: Journal of Applied Geophysics, 32(4), 321-334.
[19] Myers, M. T., 1989, Pore Modeling: Extending The Hanai-Bruggeman Equation: SPWLA 30th Annual Logging Symposium, Society of Petrophysicists and Well-Log Analysts, Denver, Colorado.
[20] Poupon, A., Loy, M. E., and Tixier, M. P., 1954, A contribution to electrical log interpretation in shaly sands: Journal of petroleum Technology, 6(6), 27-34.
[21] Sarihi, A., and Vargas-Murillo, B., 2015, A method to compute water saturation in tight rocks accounting for conductivity of clay minerals: Abu Dhabi International Petroleum Exhibition and Conference, Society of Petroleum Engineers, Abu Dhabi, UAE.
[22] Silva, L. P., and Bassioni, Z., 1985, A shaly sand conductivity mode1 based on variable equivalent counter-ion conductivity and dual water concepts: SPWLA 26th Annual Logging Symposium, Society of Petroleum Engineers, Dallas, Texas.
[23] Silva, L. P., and Bassioni, Z., 1986, Statistical evaluation of the S-B conductivity model for water-bearing shaly formations: The Log Analyst, 27(3), 9-19.
[24] Silva, L. P., and Bassioni, Z., 1988, Hydrocarbon saturation equation in shaly sands according to the S-B conductivity model: SPE Formation Evaluation, 3(3), 503-509.
[25] Song, Y. J., Li, X. J., Tang, X. M., and Fu, J., 2014, Matrix-conducting resistivity model for clean sands based on connectivity conductance theory and HB equation: Journal of China University of Petroleum (edition of natural science), 38(5), 66-74.
[26] Song, Y. J., and Tang, X. M., 2008, Generalized effective medium resistivity model for low resistivity reservoir: Science in China (Series D: Earth Sciences), 38(7), 896-909.
[27] Song, Y. J., Tang, X. M., and Yu, B., 2009, experimental study of conductance mechahanism in laminated and dispersed shaly sands: Progress in geophysics (in Chinese), 24(6), 2186-2193.
[28] Song. Y. J., Wang, X. M., and Lu, S. F., 2005, Generalized matrix-conducting pore combination resistivity model in laminated and dispersed shaly sands: Progress in geophysics (in Chinese), 20(3), 747-756.
[29] Tang, X. M., Song, Y. J., Liu, Y., et al., 2016, Basic research on application of symmetrical effective medium conduction theory in complex shaly sands: Progress in geophysics (in Chinese), 31(4), 1670-1677.
[30] Waxman, M. H., and Smits, L. J. M., 1968, Electrical conductivities in oil-bearing shaly sands: Society of petroleum Engineers, 8(2), 107-122.
[31] Waxman, M. H., and Thomas, E. C., 1974, Electrical Conductivities in Shaly Sands-I. The Relation between Hydrocarbon Saturation and Resistivity Index; II. The Temperature Coefficient of Electrical Conductivity: SPE Journal, 12(3), 213-225.
[32] Yue, W. Z., Tao, G., Chai, X. Y., et al., 2011, Digital core approach to the effects of clay on the electrical properties of saturated rocks using lattice gas automation: applied Geophysics, 8(1), 11-17.
[33] Zhao, J., Dai, X. Y., Lu, Y. Fan., et al., 2017, Shale reservoir conductive mechanism based on percolation network: Chinese Journal of Geophysics, 60(5), 2020-2028.
没有找到本文相关文献
版权所有 © 2011 应用地球物理
技术支持 北京玛格泰克科技发展有限公司