Prediction of mechanical parameters for low-permeability gas reservoirs in the Tazhong Block and its applications

Youwei Wan, Hui Zhang, Xiangjun Liu, Guoqing Yin, Jian Xiong, Lixi Liang

Abstract view|481|times       PDF download|137|times



A longitudinal distribution profile of the mechanical properties of the formations is important for the safe drilling, successful completion, and development of oil and gas reservoirs. However, the mechanical profile of the carbonate formations from the low-permeability gas reservoirs in the Tazhong (TZ) Block is hard to achieve due to the complex structural and lithological characteristics of the carbonates. In this paper, lab measurements are carried out to determine the physical and mechanical properties of the carbonate rocks of the Yingshan Formation in the TZ Block. Based on this, the relationships among density, the interval transit time and the mechanical parameters of the rocks in the TZ Block are constructed. The constructed relationships are then applied to the well-logging prediction of the mechanical profiles of the carbonate formations. The models are verified through the application to the two wells in the TZ Block, the results show that the relative errors in the predicted mechanical parameters are within 10% indicating the efficiency of the constructed models. The result of this study provides reasonable mechanical parameters for the exploration and development of the carbonate reservoirs in the TZ Block.

Cited as: Wan, Y., Zhang, H., Liu, X., Yin, G., Xiong, J., Liang, L. Prediction of mechanical parameters for low-permeability gas reservoirs in the Tazhong Block and its applications. Advances in Geo-Energy Research, 2020, 4(2): 219-228, doi: 10.26804/ager.2020.02.10


Carbonate; mechanical properties; well logging prediction; formation fracture pressure

Full Text:



Aadnoy, B.S. Inversion technique to determine the in-situ stress field from fracturing data. J. Pet. Sci. Eng. 1990, 4(2): 127-141.

Al-Ajmi, A.M., Zimmerman, R.W. Stability analysis of vertical boreholes using the Mogi-Coulomb failure criterion. Int. J. Rock Mech. Min. Sci. 2006, 43(8): 1200-1211.

Ameen, M.S., Smart, B.G.D., Somerville, J.M., et al. Predicting rock mechanical properties of carbonates from wireline logs (A case study: Arab-D reservoir, Ghawar field, Saudi Arabia). Mar. Pet. Geol. 2009, 26(4): 430-444.

Bearman, R.A., Briggs, C.A., Kojovic, T. The applications of rock mechanics parameters to the prediction of comminution behaviour. Miner. Eng. 1997, 10(3): 255-264.

Coates, G.R., Denoo, S.A. Mechanical properties program using borehole analysis and Mohr’s circle. Paper SPWLA-1981-DD Presented at SPWLA 22nd Annual Logging Symposium, Mexico City, Mexico, 23-26 June, 1981.

Gommesen, L., Fabricius, I.L. Dynamic and static elastic moduli of North Sea and deep sea chalk. Phys. Chem. Earth Pt. A-Solid Earth Geod. 2001, 26(1-2): 63-68.

Gstalder, S., Raynal, J. Measurement of some mechanical properties of rocks and their relationship to rock drillability. J. Pet. Technol. 1966, 18(8): 991-996.

Gui, R., Wan, Y. Rock mechanics parameters calculation based on conventional logging data: A case study of upper Paleozoic in Ordos basin. Journal of Geomechanics 2012, 18(4): 418-424. (in Chinese)

Hassanvand, M., Moradi, S., Fattahi, M., et al. Estimation of rock uniaxial compressive strength for an Iranian carbonate oil reservoir: Modeling vs. artificial neural network application. Pet. Res. 2018, 3(4): 336-345.

He, M., Li, N., Zhu, J., et al. Advanced prediction for field strength parameters of rock using drilling operational data from impregnated diamond bit. J. Pet. Sci. Eng. 2020, 187: 106847.

Hu, J., Yang, S., Fu, D., et al. Rock mechanics of shear rupture in shale gas reservoirs. J. Nat. Gas Sci. Eng. 2016, 36: 943-949.

Karakul, H., Ulusay, R. Empirical correlations for predicting strength properties of rocks from p-wave velocity under different degrees of saturation. Rock Mech. Rock Eng. 2013, 46(5): 981-999.

Khaksar, A., Griffiths, C.M. Influence of effective stress on the acoustic velocity and log derived porosity. SPE Reserv. Eval. Eng. 1996, 2(1): 69-74.

King, M.S. Static and dynamic elastic properties of igneous and metamorphic rocks from the Canadian shield. Int. J. Rock Mech. Min. Sci. 1983, 20(5): 237-241.

Liu, X., Yan, J., Luo, P., et al. Evaluation on rock drill-ability by well logging data. Natural Gas Industry 2005, 25(7): 69-71. (in Chinese)

Liu, Y. Collapse pressure and precautions for stability of wellbore wall. Chinese Journal of Rock Mechanics and Engineering 2004, 23(14): 2421-2423. (in Chinese)

Liu, Z., Xia, H., Zhang, Y., et al. Formation collapsed pressure predicting with logging data. Natural Gas Industry 2004, 24(1): 57-59. (in Chinese)

Meng, Z., Zhang, J., Wang, R. In-situ stress, pore pressure and stress-dependent permeability in the Southern Qinshui Basin. Int. J. Rock. Mech. Min. Sci. 2011, 48(1): 122-131.

Reyes, L., Osisanya, S.O. Empirical correlation of effective stress dependent shale rock properties. J. Can. Pet. Technol. 2002, 41(12): 47-53.

Siggins, A.F., Dewhurst, D.N. Saturation, pore pressure and effective stress from sandstone acoustic properties. Geophys. Res. Lett. 2003, 30(2): 1089.

Uyanık, O., Sabba ˇg, N., Uyanık, N.A., et al. Prediction of mechanical and physical properties of some sedimentary rocks from ultrasonic velocities. Bull. Eng. Geol. Environ. 2019, 78(8): 6003-6016.

Wang, M., Li, Z. Research & application on prediction of rock mechanics parameters based on acoustic log data. Journal of Mining & Safety Engineering 2007, 24(1): 74-78. (in Chinese)

Xie, H., He, C. Study of the unloading characteristics of a rock mass using the triaxial test and damage mechanics. Int. J. Rock Mech. Min. Sci. 2004, 41(3): 74-80.

Yagiz, S. Assessment of brittleness using rock strength and density with punch penetration test. Tunn. Undergr. Space Technol. 2009, 24(1): 66-74.

Zhang, D., Ranjith, P.G., Perera, M.S.A. The brittleness indices used in rock mechanics and their application in shale hydraulic fracturing: A review. J. Pet. Sci. Eng. 2016, 143: 158-170.

Zhang, J. Pore pressure prediction from well logs: Methods, modifications, and new approaches. Earth-Sci. Rev. 2011, 108(1-2): 50-63.

Zhu, G., Zhang, Z., Zhou, X., et al. The complexity, secondary geochemical process, genetic mechanism and distribution prediction of deep marine oil and gas in the Tarim Basin, China. Earth-Sci. Rev. 2019, 198: 102930.

Zhu, H., Deng, J., Xie, Y., et al. Rock mechanics characteristic of complex formation and faster drilling techniques in Western South China Sea oilfields. Ocean Eng. 2012, 44: 33-45.


  • There are currently no refbacks.

Copyright (c) 2020 The Author(s)

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Copyright ©2018. All Rights Reserved