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Prediction of porosity and gas saturation for deep-buried sandstone reservoirs from seismic data using an improved rock-physics model

  • Research Article - Applied Geophysics
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Abstract

In recent years, many important discoveries have been made in global deep oil and gas exploration, which indicates that deep exploration has gradually become one of the most important areas in current and future hydrocarbon exploration. However, the prediction of deep reservoirs is very challenging due to their low porosity and complex pore structure characteristics caused by the burial depth and diagenesis. Rock physics provides a link between the geologic reservoir parameters and seismic elastic properties and has evolved to become a key tool of quantitative seismic interpretation. Based on the mineral component and pore structure analysis of studied rocks, we propose an improved rock-physics model by introducing a third feldspar-related pore for deep-buried sandstone reservoirs to the traditional Xu–White model. This modelling process consists of three steps: first, rock matrix modelling using time-average equations; second, dry rock modelling using a multi-pore analytical approximation; and third, fluid-saturated rock modelling using a patchy distribution. It has been used in total porosity estimation, S-wave velocity prediction and rock-physics template establishment. The applicability of the improved rock-physics model is verified by a theoretical quartz-water model test and a real data total porosity estimation compared with the traditional Xu–White model and the density method. Then, a rock-physics template is generated by the improved rock-physics model for porosity and gas saturation prediction using seismic data. This template is carefully calibrated and validated by well-log data at both the well-log scale and seismic scale. Finally, the feasibility of the established rock-physics template for porosity and gas saturation prediction is validated by a deep-buried sandstone reservoir application in the East China Sea.

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References

  • Aki K, Richards PG (2002) Quantitative seismology, 2nd edn. University Science Books, California

    Google Scholar 

  • Avseth P, Mukerji T, Mavko G (2005) Quantitative seismic interpretation: Applying rock physics tools to reduce interpretation risk. Cambridge University Press, New York

    Book  Google Scholar 

  • Avseth P, Mukerji T, Mavko G, Dvorkin J (2010) Rock-physics diagnostics of depositional texture, diagenetic alterations, and reservoir heterogeneity in high-porosity siliciclastic sediments and rocks—a review of selected models and suggested work flows. Geophysics 75(5):A31–A47

    Article  Google Scholar 

  • Avseth P, Johansen TA, Bakhorji A, Mustafa HM (2014) Rock-physics modelling guided by depositional and burial history in low-to-intermediate-porosity sandstones. Geophysics 79(2):D115–D121

    Article  Google Scholar 

  • Bachrach R, Avseth P (2008) Rock physics modeling of unconsolidated sands: accounting for nonuniform contacts and heterogeneous stress fields in the effective media approximation with applications to hydrocarbon exploration. Geophysics 73(6):E197–E209

    Article  Google Scholar 

  • Bai J, Yue C, Liang Y, Song Z, Ling S (2013) Variable aspect ratio method in the Xu–White model for shear-wave velocity estimation. J Geophys Eng 10:1–6

    Article  Google Scholar 

  • Batzle M, Wang Z (1992) Seismic properties of pore fluids. Geophysics 57:1396–1408

    Article  Google Scholar 

  • Berge PA, Berryman JG, Bonner BP (1993) Influence of microstructure on rock elastic properties. Geophys Res Lett 20:2619–2622

    Article  Google Scholar 

  • Berryman JG (1992) Single-scattering approximations for coefficients in Biot’s equations of poroelasticity. J Acoust Soc Am 91:551–571

    Article  Google Scholar 

  • Berryman JG, Pride SR, Wang HF (2002) A differential scheme for elastic properties of rocks with dry or saturated cracks. Geophys J Int 151:597–611

    Article  Google Scholar 

  • Best A (2014) Physics of rocks for hydrocarbon exploration: introduction. Geophys Prospect 62:1203–1204

    Article  Google Scholar 

  • Bosch M, Carvajal C, Rodrigues J, Torres A, Aldana M, Sierra JS (2009) Petrophysical seismic inversion conditioned to well-log data: methods and application to a gas reservoir. Geophysics 74(2):O1–O15

    Article  Google Scholar 

  • Buland A, Omre H (2003) Bayesian linearized AVO inversion. Geophysics 68:185–198

    Article  Google Scholar 

  • Buland A, Kolbjørnsen O, Hauge R, Skjæveland Ø, Duffaut K (2008) Bayesian lithology and fluid prediction from seismic prestack data. Geophysics 73(3):C13–C21

    Article  Google Scholar 

  • Cao Q, Zhou W, Liu Y, Chen W, Ji A, Lu J, Wang Y (2017) Characteristics and origin of deep high-porosity zones in slope of Xihu Sag. J Cent South Uni (Sci Technol) 48:751–760

    Google Scholar 

  • Cheng C, Toksöz MN (1979) Inversion of seismic velocities for the pore aspect-ratio spectrum of a rock. J Geophys Res 84:7533–7543

    Article  Google Scholar 

  • Chi X, Han D (2009) Lithology and fluid differentiation using rock physics template. Lead Edge 28:60–65

    Article  Google Scholar 

  • Dutton SP, Loucks RD (2010) Diagenetic controls on evolution of porosity and permeability in lower Tertiary Wilcox sandstones from shallow to ultradeep (200–6700 m) burial, Gulf of Mexico Basin, U.S.A. Mar Pet Geol 27:69–81

    Article  Google Scholar 

  • Dvorkin J, Nur A (1996) Elasticity of high-porosity sandstones: theory for two North Sea data sets. Geophysics 61:1363–1370

    Article  Google Scholar 

  • Dyman TS, Wyman RE, Kuuskraa VA, Lewan MD, Cook TA (2003) Deep natural gas resources. Nat Resour Res 12:41–56

    Article  Google Scholar 

  • Guéguen Y, Palciauskas V (1994) Introduction to the physics of rocks. Princeton University Press, Chichester

    Google Scholar 

  • Hu M, Shen J, Hu D (2013) Reservoir characteristics and its main controlling factors of the Pinghu Formation in Pinghu structural belt, Xihu depression. Oil Gas Geol 34:185–191

    Google Scholar 

  • Jakobsen M, Hudson J, Johansen TA (2003a) T-matrix approach to shale acoustics. Geophys J Int 154:533–558

    Article  Google Scholar 

  • Jakobsen M, Johansen TA, McCann C (2003b) The acoustic signature of fluid flow in complex porous media. J Appl Geophys 54:219–246

    Article  Google Scholar 

  • Johansen TA, Drottning Lecomte I, Ystdal HG (2002) An approach to combined rock physics and seismic modelling of fluid substitution effects. Geophys Prospect 50:119–137

    Article  Google Scholar 

  • Keys RG, Xu S (2002) An approximation for the Xu–White velocity model. Geophysics 67:1406–1414

    Article  Google Scholar 

  • Keys R, Matava T, Foster D, Ashabranner D (2017) Isotropic and anisotropic velocity model building for subsalt seismic imaging. Geophysics 82(3):S247–S258

    Article  Google Scholar 

  • Kuster GT, Toksöz MN (1974) Velocity and attenuation of seismic waves in two-phase media. Geophysics 39:587–618

    Article  Google Scholar 

  • Lai J, Wang G, Fan Z, Chen J, Wang S, Zhou Z, Fan X (2016) Insight into the pore structure of tight sandstones using NMR and HPMI measurements. Energy Fuels 30:10200–10214

    Article  Google Scholar 

  • Lai J, Wang G, Chai Y, Xin Y, Wu Q, Zhang X, Sun Y (2017) Deep burial diagenesis and reservoir quality evolution of high-temperature, high-pressure sandstones: examples from Lower Cretaceous Bashijiqike Formation in Keshen area, Kuqa depression, Tarim basin of China. AAPG Bull 101(6):829–862

    Article  Google Scholar 

  • Lai J, Wang G, Wang S, Cao J, Li M, Pang X, Zhou Z, Fan X, Dai Q, Yang L, He Z, Qin Z (2018) Review of diagenetic facies in tight sandstones: diagenesis, diagenetic minerals, and prediction via well logs. Earth Sci Rev 185:234–258

    Article  Google Scholar 

  • Li H, Zhang J (2012) Analytical approximations of bulk and shear moduli for dry rock based on the differential effective medium theory. Geophys Prospect 60:281–292

    Article  Google Scholar 

  • Lindsay R, Van Koughnet R (2001) Sequential Backus averaging: upscaling well logs to seismic wavelengths. Lead Edge 20:188–191

    Article  Google Scholar 

  • Mavko G, Mukerji T, Dvorkin J (2009) The rock physics handbook tools for seismic analysis of porous media, 2nd edn. Cambridge University Press, New York

    Book  Google Scholar 

  • Morad S, Al-Ramadan K, Ketzer JM, DeRos LF (2010) The impact of diagenesis on the heterogeneity of sandstone reservoirs: a review of the role of depositional facies and sequence stratigraphy. AAPG Bull 94(8):1267–1309

    Article  Google Scholar 

  • Müller TM, Gurevich B, Lebedev M (2010) Seismic wave attenuation and dispersion resulting from wave-induced flow in porous rocks—a review. Geophysics 75(5):A147–A164

    Article  Google Scholar 

  • Norris AN (1985) A differential scheme for the effective moduli of composites. Mech Mater 4:1–16

    Article  Google Scholar 

  • Ødegaard E, Avseth P (2004) Well log and seismic data analysis using rock physics templates. First Break 23:37–43

    Google Scholar 

  • Pang X, Jia C, Wang W (2015) Petroleum geology features and research developments of hydrocarbon accumulation in deep petroliferous basins. Pet Sci 12:1–53

    Article  Google Scholar 

  • Rezaee R, Saeedi A, Clennell B (2012) Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data. J Petrol Sci Eng 88–89:92–99

    Article  Google Scholar 

  • Ruiz F, Dvorkin J (2009) Sediment with porous grains: rock-physics model and application to marine carbonate and opal. Geophysics 74(1):E1–E15

    Article  Google Scholar 

  • Sun L, Zou C, Zhu R, Zhang Y, Zhang S, Zhang B, Zhu G, Gao Z (2013) Formation, distribution and potential of deep hydrocarbon resources in China. Pet Explor Dev 40:687–695

    Article  Google Scholar 

  • Vernik L, Kachanov M (2010) Modelling elastic properties of siliciclastic rocks. Geophysics 75(6):E171–E182

    Article  Google Scholar 

  • Wang S, Yuan S, Wang T, Gao J, Li S (2018) Three-dimensional geosteering coherence attributes for deep-formation discontinuity detection. Geophysics 83(6):O105–O113

    Article  Google Scholar 

  • White JE (1975) Computed seismic speeds and attenuation in rocks with partial gas saturation. Geophysics 40:224–232

    Article  Google Scholar 

  • Wu J, Zhang L, Wan L, Zhao Q, Yang C, Wang Y (2017) Provenance analysis of Pinghu Formation in Xihu sag. China Pet Explor 22:50–57

    Google Scholar 

  • Wyllie MRJ, Gregory AR, Gardner LW (1956) Elastic wave velocities in heterogeneous and porous media. Geophysics 21:41–70

    Article  Google Scholar 

  • Xu S, Payne MA (2009) Modelling elastic properties in carbonate rocks. Lead Edge 28:66–74

    Article  Google Scholar 

  • Xu S, White RE (1995) A new velocity model for clays and mixtures. Geophys Prospect 43:91–118

    Article  Google Scholar 

  • Xu S, White RE (1996) A physical model for shear-wave velocity prediction. Geophys Prospect 44:687–717

    Article  Google Scholar 

  • Yuan S, Ji Y, Shi P, Zeng J, Gao J, Wang S (2019a) Sparse Bayesian learning-based seismic high-resolution time-frequency analysis. IEEE Geosci Remote Sens Lett. https://doi.org/10.1109/lgrs.2018.2883496

    Article  Google Scholar 

  • Yuan S, Liu Y, Zhang Z, Luo C, Wang S (2019b) Prestack stochastic frequency-dependent velocity inversion with rock-physics constraints and statistical associated hydrocarbon attributes. IEEE Geosci Remote Sens Lett 16:140–144

    Article  Google Scholar 

  • Zhao L, Nasser M, Han D (2013) Quantitative geophysical pore-type characterization and its geological implication in carbonate reservoirs. Geophys Prospect 61:827–841

    Article  Google Scholar 

  • Zimmerman RW (1985) The effect of microcracks on the elastic moduli of brittle materials. J Mater Sci Lett 4:1457–1460

    Article  Google Scholar 

  • Zou C, Zhu R, Liu K, Su L, Bai B, Zhang X, Yuan X, Wang J (2012) Tight gas sandstone reservoirs in China: characteristics and recognition criteria. J Pet Sci Eng 88–89:82–91

    Article  Google Scholar 

Download references

Acknowledgements

This work was financially supported by the Natural Science Foundation of China (41674139) and the National Science and Technology Major Project (2016ZX05033-02). We thank the Sinopec Shanghai branch for data provided and permission to publish the results of this research. Yaneng Luo would also like to thank the Basin and Reservoir Studies (BRS) group at University of Bergen for hospitality and support during his one-year visit.

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Authors and Affiliations

  1. State Key Laboratory of Petroleum Resource and Prospecting, Unconventional Natural Gas Research Institute, China University of Petroleum, Beijing, 102249, China

    Yaneng Luo & Handong Huang

  2. Department of Earth Science, University of Bergen, 5020, Bergen, Norway

    Morten Jakobsen

  3. Research Institute of Petroleum Exploration and Development, PetroChina Company Limited, Beijing, 100083, China

    Yadi Yang

  4. College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China

    Jinwei Zhang

  5. Gudao Oil Production Plant of Shengli Oilfield, China Petrochemical Corporation, Dongying, 257231, Shandong, China

    Yanjie Cai

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  1. Yaneng Luo
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  2. Handong Huang
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  5. Jinwei Zhang
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Correspondence to Handong Huang.

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Luo, Y., Huang, H., Jakobsen, M. et al. Prediction of porosity and gas saturation for deep-buried sandstone reservoirs from seismic data using an improved rock-physics model. Acta Geophys. 67, 557–575 (2019). https://doi.org/10.1007/s11600-019-00274-6

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  • DOI: https://doi.org/10.1007/s11600-019-00274-6

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