Kanhua Su

Prof. Kanhua Su


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 October 2025 in Processes
Verified
Journal Article
Open access
PDF file
XYXinrui Yang
Xinrui Yang
QWQiang Wang
Qiang Wang
JXJi Xu
Ji Xu
MLMeng Li
Meng Li
KSKanhua Su
Kanhua Su
QQQifeng Qin
Qifeng Qin
Marine shale is highly prone to wellbore collapse due to its high pore pressure, propensity for hydration and swelling, distinct bedding planes, and low tensile strength. Horizontal in situ stress serves as a critical parameter for wellbore stability analysis; however, its accurate prediction is extremely challenging in complex geological environments. Conventional studies often simplify the wellbore as a circular shape, neglecting its natural elliptical deformation under non-uniform in situ stress, which leads to reduced predictive accuracy. To address this limitation, this study establishes an elliptical wellbore model that incorporates the strain-softening characteristics of shale. Theoretical models for stress distribution in both elastic and plastic zones were derived. The strain-softening behavior was validated through triaxial compression tests, providing a foundation for analytical solutions of stress distributions around circular and elliptical wellbores. Furthermore, an elliptical wellbore-based model was developed to derive a new prediction equation for horizontal in situ stress. Numerical programming was employed to compute stress distributions, and finite element simulations under various aspect ratios corroborated the theoretical results, showing excellent agreement. Results demonstrate that the elliptical wellbore model captures the near-wellbore stress state more accurately. As the aspect ratio increases, the extreme values of radial and tangential stresses increase significantly, with pronounced stress concentrations observed around the 180° and 360° positions. Predictions of horizontal in situ stress based on the proposed model achieved over 89% accuracy when verified against field data, confirming its reliability. This study overcomes the limitations inherent in the traditional circular wellbore assumption, providing a more precise analytical method for wellbore stability assessment in Marine shale under complex geological conditions. The findings offer a valuable theoretical basis for wellbore stability management and drilling engineering design.

22 September 2025 in Processes
Verified
Journal Article
Open access
PDF file
YZYanbin Zang
Yanbin Zang
QWQiang Wang
Qiang Wang
WWWei Wang
Wei Wang
HZHongning Zhang
Hongning Zhang
KSKanhua Su
Kanhua Su
MLMeng Li
Meng Li
Shale oil and gas reservoirs are characterized by low porosity and low permeability. The development of ultra-long horizontal wells can significantly increase reservoir contact area and enhance single-well production. Shale formations exhibit distinct bedding structures, high formation pressure, high rock hardness, and strong anisotropy. These characteristics result in poor drillability, slow drilling rates, and high costs when drilling horizontally, severely restricting efficient development. Therefore, accurately predicting the drillability of shale gas wells has become a major challenge. Currently, most scholars rely on a single parameter to predict drillability, which overlooks the coupled effects of multiple factors and reduces prediction accuracy. To address this issue, this study employs drillability experiments, mineral composition analysis, positional analysis, and acoustic transit-time tests to evaluate the effects of mineral composition, acoustic transit time, bottom-hole confining pressure, and formation drilling angle on the drillability of horizontal well reservoirs, innovatively integrating multiple parameters to construct a nonlinear model and introducing three intelligent optimization algorithms (PSO, AOA-GA, and EBPSO) for the first time to improve prediction accuracy, thus breaking through the limitations of traditional single-parameter prediction. Based on these findings, a nonlinear regression prediction model integrating multiple parameters is developed and validated using field data. To further enhance prediction accuracy, the model is optimized using three intelligent optimization algorithms: PSO, AOA-GA, and EBPSO. The results indicate that the EBPSO algorithm performs the best, followed by AOA-GA, while the PSO algorithm shows the lowest performance. Furthermore, the model is applied to predict the drillability of Well D4, and the results exhibit a high degree of agreement with actual measurements, confirming the model’s effectiveness. The findings support optimization of drilling parameters and bit selection in shale oil and gas reservoirs, thereby improving drilling efficiency and mechanical penetration rates.

22 December 2025 in Processes
Verified
Journal Article
Open access
PDF file
ZYZhiguo Yang
Zhiguo Yang
JDJianxin Ding
Jianxin Ding
YLYuankai Liao
Yuankai Liao
KXKai Xu
Kai Xu
ZGZhen Guan
Zhen Guan
KSKanhua Su
Kanhua Su
To extend the drilling limit of horizontal sections, the demand for utilizing multiple hydraulic oscillators at intervals has become increasingly prominent. However, current research on the operating range of multiple oscillators, their mutual interference characteristics, and the impact of oscillation on drill string fatigue damage remains scarce. The results indicate that when the vibration ranges of multiple oscillators overlap, the overlapping segment experiences negative effects under identical excitation frequencies. If the oscillators operate at different frequencies, the displacement envelope of the drill string tends to become irregular. Within the normal amplitude range of oscillators, no significant fatigue damage is generally observed in adjacent sections of the drill string. However, when minor initial cracks exist in the drill string, an increase in oscillator amplitude leads to accelerated crack propagation, significantly hastening the fatigue failure process. In field operations, the parameters of multiple oscillators should be optimized according to specific working conditions, and timely non-destructive inspection of the drill string sections within the effective range of the oscillators must be conducted. The study provides novel insights into vibration wave propagation and fatigue damage in drill strings under multi-point excitation.

20 December 2024 in Symmetry
Verified
Journal Article
Open access
PDF file
HJHuaquan Jiang
Huaquan Jiang
TWTingjun Wen
Tingjun Wen
LLLimin Li
Limin Li
ZGZhengwei Guo
Zhengwei Guo
RZRenhao Zhang
Renhao Zhang
KSKanhua Su
Kanhua Su
Aiming at addressing the issue of seal failure of connecting threads of injection–production strings in gas storage, a theoretical research study of injection–production strings is conducted. A full-size model of an injection–production string is established by the finite element method, and natural frequency, buckling state, and influence factors are analyzed. Under the condition of ensuring the circumferential expansion displacement of the pipe string, appropriate annular pressure can be used to reduce the stress caused by the buckling of the pipe string. There is a pressure difference between the inside and outside of the curved section of the pipe string, and the larger the radius of curvature, the greater the pressure difference between the inside and outside of the pipe string, and the greater the fluid flow process because of the pressure difference variation caused by the vibration of the pipe string. The pipe string is in a sinusoidal or helical state near the packer position, and it has central symmetry. The variation in the pipe string outside pressure does not affect the position of the symmetric points. The research results can provide theoretical support to understand the mechanical characteristics and vibration mechanism of gas storage injection–production pipe string, identify the main control factors of vibration, and aim in the development of safety control measures.