Academic Journal of Architecture and Geotechnical Engineering, 2024, 6(4); doi: 10.25236/AJAGE.2024.060416.
Xindong Wang1, Ming Yi1, Guiyi Zhang1, Xin Zhang1, Tao Su1, Haitao Ren2, Jintao Zhu1, Xuebin Sun1
1Engineering Technology Research Institute of China National Petroleum Corporation West Drilling Engineering Company Limited, Kelamayi, Xinjiang Uygur Autonomous Region, 834000, China
2College of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu, Sichuan, 610500, China
Logging data contain a large amount of formation information, which can better reflect the anti-drilling characteristics of the formation. By carrying out indoor unit experiments and establishing analysis models, the profile curves of single well formation compressive strength, mud content and drillability grade value are calculated. On this basis, the prediction method of the change trend of the lateral anti-drilling characteristics of the formation rock is established by using the power basis function fitting theory of the cubic surface. Taking the deep strata of Shapai block in Junggar Basin as an example, this paper calculates and analyzes the anti-drilling characteristics of single well strata and the lateral distribution of strata in the block. The range of rock anti-drilling characteristics parameters of Wuerhe Formation, Fengcheng Formation and Jiamuhe Formation in Permian strata is studied, and the overall change trend and local stage change area are obtained. The analysis method established in this paper can provide reference for subsequent drilling design, bit selection, drilling parameter optimization and other engineering operations, which is helpful to improve the efficiency of bit use, reduce drilling cost and shorten well construction period.
Logging data; anti-drilling characteristics; permian strata; bit selection
Xindong Wang, Ming Yi, Guiyi Zhang, Xin Zhang, Tao Su, Haitao Ren, Jintao Zhu, Xuebin Sun. Analysis of drilling resistance characteristics of Permian strata in Shapai block based on logging data. Academic Journal of Architecture and Geotechnical Engineering (2024) Vol. 6, Issue 4: 102-109. https://doi.org/10.25236/AJAGE.2024.060416.
[1] W.H. Somerton, F. Esfandia, A. Singhal. Further Studies Of Relation of Physical Properties Of Rock To Rock Drillability[C]//The Drilling and Rock Mechanics Symposium. Austin, Texas: 1969: 87-96.
[2] I.W. Johnston, S.K. Choi. A. Synthetic Soft Rock For Laboratory Model Studies[J]. Geotechnique, 1986, 36(2): 251-263
[3] J.P. Simpson, T.O. Walker, J.K. Aslakson. Studies Dispel myths, Give Guidance on Formulation Studies Dispel myths, Give Guidance on Formulation[C]//The IADC/SPE Drilling Conference, Dallas, Texas: 1998: 731-742
[4] Zou Deyong, Chen Yonghong. Study on the determination of rock drillability by using acoustic time difference data[J]. Oil Drilling & Production Technology, 1996, 18(6): 27-31.
[5] Li Zhonghui, Zhang Chunyang, Lou Yishan, et al. A new method of drill bit optimization and its application[J]. Natural Gas Industry, 2008, 28(12): 54-56+139-140.
[6] Dou Tongwei, Liu Qingyou, Ren Haitao, et al. Horizontal distribution law of formation rock anti-drilling characteristics[J]. Acta Petrolei Sinica, 2016, 29(S2): 144-149.
[7] Wang Kexiong, Wei Fengqi. Research on the application of logging data in the prediction of formation anti-drilling characteristic parameters[J]. Petroleum Drilling Techniques, 2003, 10(5): 61-62.
[8] Liu Xiangju, Yan Jianjun, Luo Pingya, et al. Study on evaluation of rock drillability by logging data[J]. Natural Gas Industry, 2005, 25(7): 69-71.
[9] Liu JingTao, Huang Yong, Li Xenxia. Study on prediction and application of anti-drilling characteristics of Permian igneous rock formation in Shunbei[J]. Drilling & Production Technology, 2022, 45(1): 47-52.
[10] Zuo X , Wang T , Shi L ,et al.Prediction of Mechanical Properties and Solid Production of Granite Reservoirs Based on Logging Data[C]//International Conference on Advances in Energy Resources and Environment Engineering.Springer, Cham, 2024.DOI:10.1007/978-3-031-42563-9_8.
[11] Romanenkova E , Rogulina A , Shakirov A .Similarity learning for wells based on logging data[J]. Journal of Petroleum Science & Engineering, 2022:215PB.DOI:10.48550/arXiv.2202.05583.
[12] Liu XiangJun, Liu Tangyan, Liu Shiqiong. Logging principle and engineering application[M]. Beijing: Petroleum Industry Press, 2018.
[13] Peng Chao, Deng Jinhui, Tan Zhongjian, et al. Evaluation of anti-drilling characteristics of igneous rock formation in Bozhong 34-9 oilfield based on logging data[J]. Oil Drilling & Production Technology, 2022, 44(2): 186-190
[14] Cao Jifei. Study on anti-drilling characteristics and drilling speed-up of marine strata in northeastern Sichuan[D]. Beijing : China University of Petroleum, 2011
[15] Huang Yan, Zhai Yinghu, Yang Minghe, et al. Application of surface fitting method in regional rock drillability profile drawing[J]. West-China Exploration Engineering, 2009, 21(5): 81-82+85.
[16] Zhou Chunxiao. Prediction and analysis of anti-drilling characteristics of formation rock in Nanpu Oilfield and personalized design of PDC bit[D]. Chengdu: southwest petroleum university, 2009.
[17] Geng Zhi, Fan Honghai,Chen Mian, et al. Research and application of rock drillability prediction method in three-dimensional space in regional three-dimensional space[J]. Petroleum Drilling Technology, 2014, 42(5): 80-84.
[18] Wang Peiyi, Wang Kexiong, Zhai Yinghu, et al. Prediction of formation rock anti-drilling parameters using seismic data [J]. Oil Drilling & Production Technology, 2006, 28(3): 7-9+12
[19] Zhao Jun, Cai Yaxi, Lin Yuanhua. Application of acoustic logging data in rock drillability and bit selection [ J ].Well Logging technology, 2001, 25(4): 305-307