Geology-engineering integration to improve drilling speed and safety in ultra-deep clastic reservoirs of the Qiulitage structural belt

Authors

  • Changchang Chen CNPC Engineering Technology R&D Company Limited, Beijing 102206, P. R. China
  • Guodong Ji* CNPC Engineering Technology R&D Company Limited, Beijing 102206, P. R. China;CNPC Research Institute of Petroleum & Development, Beijing 100083, P. R. China (Email:jigddri@cnpc.com.cn)
  • Haige Wang CNPC Engineering Technology R&D Company Limited, Beijing 102206, P. R. China;CNPC Research Institute of Petroleum & Development, Beijing 100083, P. R. China
  • Hongchun Huang CNPC Engineering Technology R&D Company Limited, Beijing 102206, P. R. China
  • Patrick Baud Institute of Rock Deformation, University of Strasbourg, Strasbourg 67084, France
  • Qiang Wu CNPC Engineering Technology R&D Company Limited, Beijing 102206, P. R. China

Keywords:

Qiulitage structural belt, geology-engineering integration, ultra-deep well, formation pressure prediction, drilling speed-up

Abstract

The Qiulitage structural belt in Tarim Basin has a large reservoir burial depth and complex geological conditions. Challenges such as ultra-depth, high temperature, high pressure and high stress lead to significant problems related to well control safety and project efficiency. To solve these key technical issues that set barriers to the process of exploration and development, a drilling technology process via the integration of geology and engineering was established with geomechanics as the bridge. An integrated key drilling engineering technology was formed for improving the drilling speed and safety of ultra-deep wells, including well location optimization, well trajectory optimization, formation pressure prediction before drilling, stratum drillability evaluation, and bit and speed-up tool design and optimization. Combined with the seismic data, logging data, structural characteristics, and lithology distribution characteristics, a rock mechanics data volume related to the three-dimensional drilling resistance characteristics of the block was established for the first time. The longitudinal and lateral heterogeneities were quantitatively characterized, providing a basis for bit design, improvement and optimization. During the drilling process, the geomechanical model was corrected in time according to the actual drilling information, and the drilling “three pressures” data were updated in real time to support the dynamic adjustment of drilling parameters. Through field practice, the average drilling complexity rate was reduced from 18% to 4.6%, and the drilling cycle at 8,500 m depth was reduced from 326 days to 257 days, which comprised significant improvements compared to the vertical wells deployed in the early stage without considering geology-engineering integration.

Cited as: Chen, C., Ji, G., Wang, H., Huang, H., Baud, P., Wu, Q. Geology-engineering integration to improve drilling speed and safety in ultra-deep clastic reservoirs of the Qiulitage structural belt. Advances in Geo-Energy Research, 2022, 6(4): 347-356. https://doi.org/10.46690/ager.2022.04.09

References

Akbari, B., Miska, S. Z., Yu, M., et al. The effects of size, chamfer geometry, and back rake angle on frictional response of PDC cutters. Paper ARMA-2014-7458 Presented at the ARMA Annual Convention and Exhibition, Minneapolis, Minnesota, 1-4 June, 2014.

Andrews, G., Hareland, R., Nygaard, D., et al. Methods of using logs to quantify drillability. Paper SPE 106571 Presented at The Proceedings of 2007 Rocky Mountain Oil & Gas Technology Conference, Denver, USA, 1-3 March, 2007.

Bai, Z., Lu, X., Song, Z., et al. Characteristics of boundary fault systems and its hydrocarbon controlling on hydrocarbon accumulation in Awati Sag, Tarim Basin, China. China Geology, 2019, 2(1): 94-107.

Chopra, S., Marfurt, K. Volumetric curvature attributes add value to 3D seismic data interpretation. The Leading Edge, 2007, 26(7): 856-867.

Di, H., Gao, D. Efficient volumetric extraction of most positive/negative curvature and flexure for fracture characterization from 3D seismic data. Geophysical Prospecting, 2016, 64(6): 1454-1468.

Ding, W., Fan, T., Yu, B., et al. Ordovician carbonate reservoir fracture characteristics and fracture distribution forecasting in the Tazhong area of Tarim Basin, Northwest China. Journal of Petroleum Science and Engineering, 2012, 86(4): 62-70.

Ernest, G., Zee, M. Sampling biases and mitigations in modeling shale reservoirs. Journal of Natural Gas Science and Engineering, 2019, 71: 102968.

Gale, F. W., Holder, J. Natural fractures in the Barnett shale: Constraints on spatial organization and tensile strength with implications for hydraulic fracture treatment in shale-gas reservoirs. Paper ARMA-08-096 Presented at The 42nd U. S. Rock Mechanics Symposium (USRMS), San Francisco, California, USA, 29 June-2 July, 2008.

Hareland, G., Yan, W., Nygaard, R., et al. Cutting efficiency of a single PDC cutter on hard rock. Journal of Canadian Petroleum Technology, 2009, 48(6): 60-65.

Hou, B., Chen, M., Jin, Y., et al. Research of drilling complexities in Dabei belt of Tarim Basin. Advanced Materials Research, 2011, 402: 715-718.

Infante, E. F., Chenevert, M. E. Stability of boreholes drilled through salt stratums displaying plastic behavior. SPE Drilling Engineering, 2013, 4(1): 57-65.

Jiang, T., Sun, X. Development of Keshen ultra-deep and ultra-high pressure gas reservoirs in the Kuqa foreland basin, Tarim Basin: Understanding and technical countermeasures. Natural Gas Industry B, 2019, 6(1): 16-24.

Lalehrohe, F., Bouma, J. Well spacing optimization in EagleFord. Paper SPE 171640 Presented at Unconventional resources conference, Calgary, Alberta, Canada, 30 September-2 October, 2014.

Li, X., Zhang, C., Feng, Y., et al. An integrated geomechanics approach to evaluate and manage wellbore stability in a deep graben formation in Tarim Basin. Journal of Petroleum Science and Engineering, 2021, 208(3): 109391.

Liang, W., Zhao, Y., Liu, J., et al. Advances in in-situ modified mining by fluidization and in unconventional geomechanics. Advances in Geo-Energy Research, 2021, 5(1): 1-4.

Ma, H. Formation drillability prediction based on multi-source information fusion. Journal of Petroleum Science and Engineering, 2011, 78(2): 438-446.

Pedersen, S., Skov, T., Randen, T., et al. Automatic fault extraction using artificial ants. SEG Technical Program Expanded Abstracts, 2002, 21: 512-515.

Rojas, L., Tveritnev, A., Carlos, P. Rock type characterization methodology for dynamic reservoir modelling of a highly heterogeneous carbonate reservoir. Paper SPE 203414 Presented at Abu Dhabi International Petroleum Exhibition & Conference, Abu Dhabi, UAE, 11-14 November, 2020.

Sakhaee, A., Li, W. Two-scale geomechanics of shale. SPE Journal, 2019, 22(1): 161-172.

Savchenko, N. Estimate of stress-strain state of rocks in the area of drilling Kola ultra-deep well. Journal of Mining Science, 2004, 40(1): 24-30.

Shcherbakov, S., Kataev, V., Zolotarev, D., et al. Coverd karst landforms: Complexification of methods to estimation of morphometric parameters in engineering purposes. Engineering Geology World, 2018, 13(6): 10-23.

Suarez, R., Herring, S., Handwerger, D., et al. Integrated analysis of core geology, rock properties, logs and seismic data provides a well-constrained geological model for the haynesville system. Paper SPE 167204 Presented at SPE Unconventional Resources Conference, Calgary, Alberta, Canada, 5-7 November, 2013.

Weng, X., Kresse, O., Chuprakov, D., et al. Application of complex fracture model and comprehensive workflow in unconventional oil and gas reservoirs. Journal of Petroleum Science and Engineering, 2014, 124: 468-483.

Wilson, A. 3D full-field and pad geomechanics models aid shale gas field development in China. Journal of Petroleum Technology, 2017, 69(10): 74-76.

Wu, C., Chen, M., Jin, Y. Prediction of pre-drilling borehole wall stability using seismic inversion technology. Oil Drilling & Production Technology, 2006, 28(2): 18-20. (in Chinese)

Xie, J., Qiu, K., Zhong, B., et al. Construction of a 3D geome-chanical model for development of a shale gas reservoir in the Sichuan Basin. SPE Drilling & Completion, 2018, 33(4): 122-129.

Yang, Z., Zhao, Z., Peng, W., et al. Integrated application of 3D seismic and microseismic data in the development of tight gas reservoirs. Applied Geophysics, 2013, 10(2): 157-169.

Yu, X., Ma, Y., David, P., et al. Reservoir characterization and modeling: A look back to see the way forward. AAPG Memoir, 2011(96): 289-309.

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Published

2022-07-02

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