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Original Article | Open Access

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

State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, P. R. China
Exploration and Development Research Institute, PetroChina Tarim Oilfield Company, Korla 841000, P. R. China
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Abstract

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.

Keywords

mechanical propertiesCarbonatewell logging predictionformation fracture pressure

References

 

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

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.
Crossref Google Scholar
 

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.
Crossref Google Scholar
 

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.
Crossref Google Scholar
 
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.
Crossref Google Scholar
 

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.
Crossref Google Scholar
 

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)
Google Scholar
 

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.
Crossref Google Scholar
 

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.
Crossref Google Scholar
 

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.
Crossref Google Scholar
 

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.
Crossref Google Scholar
 

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.
Crossref Google Scholar
 

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.
Crossref Google Scholar
 

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)
Google Scholar
 

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)
Google Scholar
 

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)
Google Scholar
 

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.
Crossref Google Scholar
 

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

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

Uyanık, O., Sabbaǧ, 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.
Crossref Google Scholar
 

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)
Google Scholar
 

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.
Google Scholar
 

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

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.
Crossref Google Scholar
 

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

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.
Crossref Google Scholar
 

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.
Crossref Google Scholar
Advances in Geo-Energy Research
Volume 4 Issue 2,
June 2020
Pages 219-228
DOI: 10.26804/ager.2020.02.10.
Cite this article:
Wan Y, Zhang H, Liu X, et al. 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. https://doi.org/10.26804/ager.2020.02.10.

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Received: 24 April 2020
Revised: 22 May 2020
Accepted: 22 May 2020
Published: 02 June 2020
© The Author(s) 2020

This article, published at Ausasia Science and Technology Press on behalf of the Division of Porous Flow, Hubei Province Society of Rock Mechanics and Engineering, is distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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