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Shufang Wang, Zhonghe Pang, Jiurong Liu, Pei Lin, Sida Liu, Ming Yin. Origin and Evolution Characteristics of Geothermal Water in the Niutuozhen Geothermal Field, North China Plain. Journal of Earth Science, 2013, 24(6): 891-902. doi: 10.1007/s12583-013-0390-6
Citation: Cheng Feng, Yujiang Shi, Jiahong Li, Liang Chang, Gaoren Li, Zhiqiang Mao. A New Empirical Method for Constructing Capillary Pressure Curves from Conventional Logs in Low-Permeability Sandstones. Journal of Earth Science, 2017, 28(3): 516-522. doi: 10.1007/s12583-016-0913-6

A New Empirical Method for Constructing Capillary Pressure Curves from Conventional Logs in Low-Permeability Sandstones

doi: 10.1007/s12583-016-0913-6
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  • Pore structure reflected from capillary pressure curves plays an important role in low-permeability formation evaluation. It is a common way to construct capillary pressure curves by Nuclear Magnetic Resonance (NMR) log. However, the method's efficiency will be severely affected if there is no NMR log data or it cannot reflect pore structure well. Therefore, on the basis of J function and diagenetic facies classification, a new empirical model for constructing capillary pressure curves from conventional logs is proposed here as a solution to the problem. This model includes porosity and the relative value of natural gamma rays as independent variables and the saturation of mercury injection as a dependent variable. According to the 51 core experimental data sets of three diagenetic facies from the bottom of the Upper Triassic in the western Ordos Basin, China, the model's parameters in each diagenetic facies are calibrated. Both self-checking and extrapolation tests show a positive effect, which demonstrates the high reliability of the proposed capillary pressure curve construction model. Based on the constructed capillary pressure curves, NMR T2 spectra under fully brine-saturated conditions are mapped by a piecewise power function. A field study is then presented. Agreement can be seen between the mapped NMR T2 spectra and the MRIL-P log data in the location of the major peak, right boundary, distribution characteristics and T2 logarithmic mean value. In addition, the capillary pressure curve construction model proposed in this paper is not affected by special log data or formation condition. It is of great importance in evaluating pore structure, predicting oil production and identifying oil layers through NMR log data in low-permeability sandstones.

     

  • Geothermal resources can provide clean green energy and have recently received considerable attention. The Niutuozhen Geothermal Field is located in the Niutuozhen Uplift in North China (Fig. 1) and its geothermal resources have been developed for more than 30 years (Chen, 1988). Geothermal water is extensively used for space heating in Xiongxian, Gu'an and Baxian to construct smoke-free cities. There is an urgent need for further research on geothermal energy potential, reservoir temperature and water chemistry because of rapidly increasing demand (Dotsika et al., 2010; Wu and Ma, 2010; Gao et al., 2009; Liu H et al., 2009; Zhang et al., 2007; Liu J R et al., 2002; Giggenbach et al., 1995; Wang and Shen, 1993; Wang J Y et al., 1993; Wang Y X et al., 1993; Giggenbach, 1992, 1988; Dai et al., 1988). Chemical and isotopic components record the origin and evolution of geothermal water which reflect geothermal energy potential (Shen and Wang, 2002; Bi, 1998; Chen, 1998; Wang and Shen, 1993; Wang Y X et al., 1993). Twenty years ago discussion of the origin and evolution of geothermal resources throughout the north China Basin was based on relatively few geothermal water samples (Yao, 1995; Chen, 1988; Zhou, 1987; Geothermal Group, 1983) and did not achieve modern levels of accuracy. The present work includes new sampling sites and presents modern analyses for major ions, δ2H, δ18O, tritium and 14C ages of 43 samples from geothermal wells, three samples from groundwater wells and one rain water sample along with 14 rain water analyses obtained from the Global Network of Isotopes in Precipitation (GNIP).

    Figure  1.  Location of the Niutuozhen uplift.

    The Niutuozhen Geothermal Field is located in the Niutuozhen uplift zone in the northern part of the Jizhong graben in the North China Basin bounded by the Yanshan Mountains and the Taihang Mountains. The basin began developing by vertical crustal movement before the Late Triassic Period, followed by mountain building from Jurassic to Early Tertiary and Late Miocene subsidence. NE-SW striking horsts and grabens formed alternately from west to east. The Niutuozhen uplift (or horst) is bounded by the Niudong fault, Niunan fault, Rongcheng fault and Daxing fault initiated during Late Jurassic to Cretaceous earth movements and finally during Himalayan movements. The uplift continued to move up to the surface until the Late Oligocene when it became mature and was eroded. The Minghuazhen Formation was deposited over the entire horst by the Late Miocene (Fig. 2) and it was finally buried locally under Quaternary sediments.

    Figure  2.  Pre-Cenozoic geological map and cross-section of the Niutuozhen geothermal field.

    The Neogene Minghuazhen Formation sandstone with an average effective thickness of 225 m and Jixianian Wumishanian Formation dolomite with a thickness more than 1 000 m are the main reservoirs in the Niutuozhen geothermal field. Quaternary clay with a thickness of 400 m is the main caprock of the Minghuazhen Formation reservoir, and mudstone of the Minghuazhen Formation and Quaternary clay more than 493 m thick are the caprocks of the Wumishanian dolomite reservoir.

    The geothermal gradient in the cap rock of the Niutuozhen uplift is more than 3.0 ℃/100 m, reaching a maximum of 11.5 ℃/100 m in the axis of the uplift (Chen, 1988). The gradient in the Wumishanian reservoir is generally between 1.65 and 2.55 ℃/100 m (Chen, 1988; Geothermal Group, 1983). Maximum wellhead pressure was measured at 3.74×105 Pa in 1970s (Chen, 1988), but has decreased to its present level of less than 1.01×105 Pa with drastic development of the geothermal water and no reinjection. Wellhead temperature ranges from 59 to 84 ℃. The permeability of the Minghuazhen Formation Reservoir is between 3.36×10-14 and 2.39×10-12 m-2 and of the Wumishanian reservoir is between 2.10×10-11 and 6.15×10-10 m-2.

    Samples were taken from a Quaternary cold water aquifer, the Minghuazhen Formation sandstone geothermal reservoir, an Ordovician limestone geothermal reservoir and the Wumishanian dolomite geothermal Reservoir and rainwater in the Niutuozhen geothermal field in order to compare geochemical characteristics between different waters (Fig. 3). The samples were taken by inserting a sampling tube against the pressure of a water discharge main. Temperature and pH were measured in-situ, other analysis were made in laboratory. K, Na, Li and a wide range of metal ions were analysed by atomic absorption; total acidity, total hardness and most anions were analysed by titration; NH4+, Fe2+, Fe3+, metaboric acid, metasilicic acid, metaphosphoric acid and some halide ions were analysed by spectrophotometry; and NO3- was analysed by ultraviolet spectrophotometry; selenium, metaarsenic acid and mercury were analysed by atomic fluorescence; and total dissolved solids were analysed by gravimetry.

    Figure  3.  Sampling sites.

    Stable isotopes (18O, 2H) were analysed by isotope ratio mass spectrometry and Picarro L1102-i liquid water isotope analyzer and 14C samples were analyzed by Liquid Scintillation Counter.

    Geothermal waters from the Wumishanian and Ordovician reservoirs are of Cl-Na type, and those of the Minghuazhen Formation reservoir are of Cl-Na type and HCO3-Na type (Table 1, Fig. 4). Wumishanian geothermal water has higher total dissolved solid (TDS) ranging from 2 300 to 3 000 mg/L, than Ordovician reservoir water (2 206 mg/L) and Minghuazhen Formation (561–1 427.7 mg/L) geothermal water.

    Table  1.  The chemical components of the samples
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    Figure  4.  Piper diagram of compositions of geothermal water and groundwater.

    Silica (SiO2) is the most significant symbolic component of geothermal water (Liu et al., 2002) and all water samples from Wumishanian geothermal reservoir are plotted in Fig. 5. The concentration of silica in Wumishanian geothermal water increases from 40 to 80 mg/L with temperature increase from 60 to 85 ℃ demonstrating a good linear relationship (R2=0.842) between silica concentration and temperature. The linear relationship indicates that temperature instead of lithology probably enhances the enrichment of SiO2 in such a low-temperature geothermal system because the geothermal water is stored in the Jixianian dolomite geothermal reservoir (Li, 1982; Browne, 1978).

    Figure  5.  Relationship between well head temperature and SiO2 concentration

    Craig (1961) found that there was δ18O shift when geothermal water is compared with the Global Meteoric Water Line, which was brought about by 18O exchange between geothermal water and rock under high temperature conditions (>300 ℃). He found that change of δ2H due to depletion of H in the rock was negligible compared with δ18O. Wen et al. (2010), Ma et al. (2008), Zhang et al. (2006), Pang (2004), Zhao et al. (2001), Wang Y X et al. (1993), Sun et al. (1992) and Pang et al.(1990a, b) have also used isotopic methods to study origin and mixing of geothermal water in different geothermal fields.

    Stable isotope data for all geothermal waters (Fig. 6) show a δ18O range from -8.66‰ to -11.90‰. It is obvious that the geothermal water from the Ordovician and the Minghuazhen Formation geothermal reservoir and from the Quaternary groundwater fall near the GMWL. However, samples from the Wumi- shanian geothermal reservoir demonstrate an average 1.57‰ 18O shift, slight compared with samples from a Tibet high temperature geothermal system (Zhou et al., 2009). Truesdell and Hulston (1980) found that the mineral components of reservoir rock are a significant factor affecting δ18O shift and that maximum shift occurred in carbonate rock systems. Exchange of 18O between deeply circulating meteoric water and hot carbonates in deep-seated aquifers for a long time (Zhou et al., 2004, 2001) may explain the slight O18 shift.

    Figure  6.  δ18O and δ2H of different groundwaters.

    In order to study the evolution characteristics of geothermal water along a flow line, Well O1 in the northernmost part of the geothermal field was taken as origin point. A plot of 14C age along the flow line shows a progressive increase indicating age increasing from north to south (Fig. 7a). A similar trend was also found in the studies of Chen (1988) and Geothermal Group (1983). There is a significant positive linear correlation between 14C age and δ18O (Fig. 7b) which is good evidence that the extent of 18O exchange between geothermal water and reservoir rock was enhanced with the increasing residual time of geothermal water.

    Figure  7.  The relationship of 14C age with distance and δ18O.

    The high concentration of Cl and Na in the Wumishanian and Ordovician geothermal water indicates that the water experienced long time lixiviation from the recharge area during the process of flowing from north to south in the geothermal field (Wang et al., 1995), similar to the geothermal water in the geothermal fields of Tianjin and Beijing (Hu et al., 2007) and confirmed by the 14C age of the geothermal water.

    The remarkably differences in geochemical characteristics between Quaternary, Minghuanian, Ordovician and Wumishanian geothermal waters suggests that they derive from different groundwater systems (Zhou, 1987). The Quaternary groundwater system is mainly recharged by local modern rain and groundwater recharge from mountains to the north and west (Chen et al., 2010). By contrast, geothermal water of the Minghuazhenian, Ordovician and Wumishanian reservoirs was recharged by paleo- precipitation at least 12 000 years ago (Table 1).

    Its tritium isotope concentration 67.8 TU indicates that some Quaternary groundwater receives modern rain recharge. The δ18O and δ2H values of -8.79‰ and -66.36‰ of Quaternary geothermal water are close to modern rain water but its tritium isotope value < 0.5 TU indicates that this water has not been recharged by modern rain, in agreement with the 14C results (Table 1).

    14C ages indicate that the Wumishanian geothermal water flows from north to south at an average velocity of 3.6 m/a in the Niutuozhen geothermal field (Fig. 8).

    Figure  8.  A conceptual evolution model of Wumishanian geothermal water.

    With increasing time for water-rock 18O exchange processes, 18O in the geothermal water is progressively enriched along the flow line from north to south as demonstrated by the good linear relationship between δ18O and 14C age in Fig. 7b.

    According to research by Yan and Yu (2000) and Zhou (1987), the Niutuozhen geothermal field receives recharge both from the Yanshan Mountains in the north (about 100 km from the northern part of the geothermal field) and the Taihang Mountains in the west (about 50 km from the west boundary of the geothermal field) and moving Wumishanian geothermal water from the Yanshan Mountains may be diluted by water from the Taihang Mountains. Water from the Taihang Mountains is generally younger than water from Yanshan Mountains because of relative shorter flow distance. It could also be inferred that the water in the south of the geothermal field should be older than 33 000 year if it was only recharged by water from the north without being diluted by water from the west.

    ACKNOWLEDGMENTS: We would like to express our thanks to our workmates that made the measurements of geochemistry of geothermal water samples in the Laboratory of Beijing Institute of Hydrogeology and Engineering Geology. The authors are grateful to Water Isotopes and Water Rock Interaction laboratory for stable isotopes (18O, 2H) analysis and State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration for 14C samples analysis.
  • Altunbay, M. , Martain, R. , Robinson, M. , 2001. Capillary Pressure Data from NMR Logs and Its Implications on Field Economics. The 2001 SPE Annual Technical Conference and Exhibition, New Orleans
    Brown, H. W., 1951. Capillary Pressure Investigations. Journal of Petroleum Technology, 3(3): 67-74 doi: 10.2118/951067-G
    Du, W., Jiang, Z. X., Li, Q., et al., 2016. Sedimentary Characterization of the Upper Paleozoic Coal-Bearing Tight Sand Strata, Daniudi Gas Field, Ordos Basin, China. Journal of Earth Science, 27(5): 823-834. doi: 10.1007/s12583-016-0705-5
    Eslami, M., Ilkhchi, A. K., Sharghi, Y., et al., 2013. Construction of Synthetic Capillary Pressure Curves from the Joint Use of NMR Log Data and Conventional Well Logs. Journal of Petroleum Science and Engineering, 111: 50-58 doi: 10.1016/j.petrol.2013.10.010
    Gao, B. , Wu, J. H. , Chen, S. , et al. , 2011. New Method for Predicting Capillary Pressure Curves from NMR Data in Carbonate Rocks. The SPWLA 52nd Annual Logging Symposium, Colorado Springs, Colorado
    Hassoun, T. H. , Zainalabedin, K. , Minh, C. , 1997. Hydrocarbon Detection in Low-Contrast Resistivity Pay Zones, Capillary Pressure and ROS Determination with NMR Logging in Saudi Arabia. The 1997 SPE Middle East Oil Show, Bahrain
    He, Y. D., Mao, Z. Q., Xiao, L. Z., et al., 2005. A New Method to Obtain Capillary Pressure Curve Using NMR T2 Distribution. Journal of Jilin University (Earth Science Edition), 35(2): 177-181. doi:10.3969/j.issn.1671-5888.2005.02.007 (in Chinese with English Abstract)
    Hodgkins, M. A., Howard, J. J., 1999. Application of NMR Logging to Reservoir Characterization of Low-Resistivity Sands in the Gulf of Mexico1. AAPG Bulletin, 83(1): 114-127. doi: 10.1306/00aa9a16-1730-11d7-8645000102c1865d
    Hu, H. Y., Zeng, Z. P., Liu, J. Z., 2015. Key Elements Controlling Oil Accumulation within the Tight Sandstones. Journal of Earth Science, 26(3): 328-342. doi: 10.1007/s12583-015-0550-y
    Leverett, M. C., 1941. Capillary Behavior in Porous Solids. Transactions of the AIME, 142(1): 152-169. doi: 10.2118/941152-g
    Lowden, B. D. , Porter, M. J. , Powrie, L, S. , 1998. T2 Relaxation Time Versus Mercury Injection Capillary Pressure: Implications for NMR Logging and Reservoir Characterization. The EUROPEC'98: European Petroleum Conference, Netherland
    Luo, Z. T., Wang, Y. C., 1986. Pore Structure of Oil and Gas Reservoirs. Science Press, Beijing (in Chinese)
    Marschall, D. , Gardner, J. S. , Mardon, D. , et al. , 1995. Method for Correlating NMR Relaxometry and Mercury Injection Data. The 1995 SCA Conference, 9511
    Ren, D. Z., Sun, W., Huang, H., et al., 2016. Formation Mechanism of Chang 6 Tight Sandstone Reservoir in Jiyuan Oilfield, Ordos Basin. Earth Science—Journal of China University of Geosciences, 41(10): 1735-1744. doi:10.3799/dqkx.2016.124 (in Chinese with English Abstract)
    Shi, Y. J., Xiao, L., Mao, Z. Q., et al., 2011. An Identification Method for Diagenetic Facies with Well Logs and Its Geological Significance in Low-Permeability Sandstones: A Case Study on Chang 8 Reservoirs in the Jiyuan Region, Ordos Basin. Acta Petrolei Sinica, 32(5): 820-828 (in Chinese with English Abstract) https://www.researchgate.net/publication/287728260_An_identification_method_for_diagenetic_facies_with_well_logs_and_its_geological_significance_in_low-permeability_sandstones_A_case_study_on_Chang_8_reservoirs_in_the_Jiyuan_region_Ordos_Basin
    Tan, Z. J., Zhang, C. M., 1995. Study of the Lithology and Texture of Terrigenous Clastic Rock with Medium Grain Size and Average Grain Diameter. Well Logging Technology, 19(2): 130-134 (in Chinese with English Abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-CJJS502.007.htm
    Volokitin, Y. , Looyestijn, W. , Slijkerman, W. , et al. , 1999. Constructing Capillary Pressure Curves from NMR Log Data in the Presence of Hydrocarbons. Trans 40th Annual Logging Symposium, SPWLA, Oslo, Norway
    Wang, Y. , Bandal, M. S. , Moreno, J. E. , et al. , 2006. A Systematic Approach to Incorporate Capillary Pressure-Saturation Data into Reservoir Simulation. The SPE Asia Pacific Oil & Gas Conference and Exhibition. Society of Petroleum Engineers, Adelaide
    Wu, S. T., Zhou, C. N., Zhu, R. K., et al., 2015. Reservoir Quality Characterization of Upper Triassic Chang 7 Shale in Ordos Basin. Earth Science—Journal of China University of Geosciences, 40(11): 1810-1823. doi:10.3799/dqkx.2015.162 (in Chinese with English Abstract)
    Xiao, L., Mao, Z. Q., Wang, Z. N., et al., 2012. Application of NMR Logs in Tight Gas Reservoirs for Formation Evaluation: A Case Study of Sichuan Basin in China. Journal of Petroleum Science and Engineering, 81: 182-195. doi: 10.1016/j.petrol.2011.12.025
    Xiao, L., Zou, C. C., Wang, H., 2015. Comments on "Construction of Synthetic Capillary Pressure Curves from the Joint Use of NMR Log Data and Conventional Well Logs". Journal of Petroleum Science and Engineering, 135: 429-432 doi: 10.1016/j.petrol.2015.10.004
    Yong, S. H., Zhang, C. M., 2007. Log Data Processing and Integrated Interpretation. China University of Petroleum Press, Dongying (in Chinese)
    Zhang, N., He, M. C., Zhang, B., et al., 2016. Pore Structure Characteristics and Permeability of Deep Sedimentary Rocks Determined by Mercury Intrusion Porosimetry. Journal of Earth Science, 27(4): 670-676. doi: 10.1007/s12583-016-0662-z
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