• 中国出版政府奖提名奖

    中国百强科技报刊

    湖北出版政府奖

    中国高校百佳科技期刊

    中国最美期刊

    Volume 48 Issue 1
    Jan.  2023
    Turn off MathJax
    Article Contents
    Wang Huijun, Lu Shuangfang, Qiao Lu, Zhang Jun, Chen Fangwen, He Xipeng, Gao Yuqiao, Mei Junwei, Ren Jianhua, Wang Wei, 2023. Parameter Sensitivity Analysis in Geology-Engineering Integration Optimization for Shale Gas in Nanchuan Block. Earth Science, 48(1): 267-278. doi: 10.3799/dqkx.2022.383
    Citation: Wang Huijun, Lu Shuangfang, Qiao Lu, Zhang Jun, Chen Fangwen, He Xipeng, Gao Yuqiao, Mei Junwei, Ren Jianhua, Wang Wei, 2023. Parameter Sensitivity Analysis in Geology-Engineering Integration Optimization for Shale Gas in Nanchuan Block. Earth Science, 48(1): 267-278. doi: 10.3799/dqkx.2022.383

    Parameter Sensitivity Analysis in Geology-Engineering Integration Optimization for Shale Gas in Nanchuan Block

    doi: 10.3799/dqkx.2022.383
    • Received Date: 2022-03-03
      Available Online: 2023-02-01
    • Publish Date: 2023-01-25
    • Geology-engineering integration policy is an important way to reduce cost and increase efficiency of shale gas. Integrated and quantitative approach is an important development direction of integrated optimization decision research. However, the current quantitative optimization is more often performed for single well, and the optimal fracture half-length/horizontal well length obtained from the optimization of a single well is often used as the basis for well pattern deployment. In this paper, it compares the sensitivity of single-well and block optimization results to major geological conditions and engineering parameters based on the objective functions of single-well and block benefits constructed using operational research techniques. The results show that although the benefits of both single-well and block show a trend of increasing and then decreasing with increasing fracture size (fracture half-length), the optimal fracture half-lengths are significantly different. Meanwhile, with the increase of porosity, gas saturation, pressure coefficient, natural gas price, fracturing cost and drilling cost, the optimal fracture half length of single well and block varies. It indicates that the optimal values obtained for blocks and single well are not consistent, and wells should be laid out with the results of the overall geology-engineering integration optimization of the blocks. This finding has realistic implications for the optimal deployment and efficient development of shale gas and other unconventional oil and gas well networks.

       

    • loading
    • Chen, X. J., 2003. The Application of the Analysis of Profit and Loss Equality in Oil Developmental Economy (Dissertation). Tianjin University, Tianjin (in Chinese with English abstract).
      Clarkson, C. R., 2013. Production Data Analysis of Unconventional Gas Wells: Review of Theory and Best Practices. International Journal of Coal Geology, 109-110: 101-146. https://doi.org/10.1016/j.coal.2013.01.002
      Freund, Y., 1995. Boosting a Weak Learning Algorithm by Majority. Information and Computation, 121(2): 256-285. https://doi.org/10.1006/inco.1995.1136
      Golzari, A., Sefat, M. H., Jamshidi, S., 2015. Development of an Adaptive Surrogate Model for Production Optimization. Journal of Petroleum Science and Engineering, 133: 677-688. https://doi.org/10.1016/j.petrol.2015.07.012
      Guo, Y. D., Wang, W. H., Liu, H., et al., 2018. Research on the Production Influencing Factors of Shale Gas Multi-Stage Fractured Horizontal Well. Bulletin of Science and Technology, 34(4): 72-78, 83 (in Chinese with English abstract).
      He, T. H., Li, W. H., Lu, S. F., et al., 2022. Mechanism and Geological Significance of Anomalous Negative δ13Ckerogen in the Lower Cambrian, NW Tarim Basin, China. Journal of Petroleum Science and Engineering, 208: 109384. https://doi.org/10.1016/j.petrol.2021.109384
      He, T. H., Lu, S. F., Li, W. H., et al., 2018. Effect of Salinity on Source Rock Formation and Its Control on the Oil Content in Shales in the Hetaoyuan Formation from the Biyang Depression, Nanxiang Basin, Central China. Energy & Fuels, 32(6): 6698-6707. https://doi.org/10.1021/acs.energyfuels.8b01075
      He, X. P., 2021. Sweet Spot Evaluation System and Enrichment and High Yield Influential Factors of Shale Gas in Nanchuan Area of Eastern Sichuan Basin. Natural Gas Industry, 41(1): 59-71 (in Chinese with English abstract).
      Huang, H. Y., Fan, Y., Zeng, B., et al., 2020. Geology- Engineering Integration of Platform Well in Changning Block. Science Technology and Engineering, 20(1): 175-182 (in Chinese with English abstract).
      Kulga, B., Artun, E., Ertekin, T., 2017. Development of a Data-Driven Forecasting Tool for Hydraulically Fractured, Horizontal Wells in Tight-Gas Sands. Computers & Geosciences, 103: 99-110. https://doi.org/10.1016/j.cageo.2017.03.009
      Li, D. H., Yao, H. S., He, X. P., et al., 2022. Geological Theory and Resource Potential of Atmospheric Pressure Shale Gas in Complex Structural Areas. Geological Publishing House, Beijing (in Chinese).
      Li, Q. H., Chen, M., Wang, F. P., et al., 2012. Influences of Engineering Factors on Shale Gas Productivity: A Case Study from the Haynesville Shale Gas Reservoir in North America. Natural Gas Industry, 32(4): 54-59, 123 (in Chinese with English abstract).
      Li, W. B., Li, J. Q., Lu, S. F., et al., 2022. Evaluation of Gas-in-Place Content and Gas-Adsorbed Ratio Using Carbon Isotope Fractionation Model: A Case Study from Longmaxi Shales in Sichuan Basin, China. International Journal of Coal Geology, 249: 103881. https://doi.org/10.1016/j.coal.2021.103881
      Liu, W. C., Zhang, Q. T., Zhu, W. Y., 2019. Numerical Simulation of Multi-Stage Fractured Horizontal Well in Low-Permeable Oil Reservoir with Threshold Pressure Gradient with Moving Boundary. Journal of Petroleum Science and Engineering, 178: 1112-1127. https://doi.org/10.1016/j.petrol.2019.04.033
      Liu, X., Zhang, L. N., Zhang, Y. Z., 2018. Influence of Fracturing Parameters on Development Effects of Shale Gas Wells in Southeast Sichuan Basin: A Case of Well LP-133HF. Reservoir Evaluation and Development, 8(5): 77-80 (in Chinese with English abstract). doi: 10.3969/j.issn.2095-1426.2018.05.013
      Nguyen-Le, V., Shin, H., 2019. Development of Reservoir Economic Indicator for Barnett Shale Gas Potential Evaluation Based on the Reservoir and Hydraulic Fracturing Parameters. Journal of Natural Gas Science and Engineering, 66: 159-167. https://doi.org/10.1016/j.jngse.2019.03.024
      Qiao, L., Wang, H. J., Lu, S. F., et al., 2022. Novel Self-Adaptive Shale Gas Production Proxy Model and Its Practical Application. ACS Omega, 7(10): 8294-8305. https://doi.org/10.1021/acsomega.1c05158
      Rammay, M. H., Awotunde, A. A., 2016. Stochastic Optimization of Hydraulic Fracture and Horizontal Well Parameters in Shale Gas Reservoirs. Journal of Natural Gas Science and Engineering, 36: 71-78. https://doi.org/10.1016/j.jngse.2016.10.002
      Wang, H. J., Qiao, L., Zhang, J., et al., 2022. An Effective Integration Optimization Algorithm for Regional Fracturing Design and Drilling Placement. Journal of Natural Gas Science and Engineering, 101: 104505. https://doi.org/10.1016/j.jngse.2022.104505
      Wang, H. J., Qiao, L., Lu, S. F., et al., 2021a. A Novel Shale Gas Production Prediction Model Based on Machine Learning and Its Application in Optimization of Multistage Fractured Horizontal Wells. Frontiers in Earth Science, 9: 726537. https://doi.org/10.3389/feart.2021.726537
      Wang, S., Qin, C. X., Feng, Q. H., et al., 2021b. A Framework for Predicting the Production Performance of Unconventional Resources Using Deep Learning. Applied Energy, 295: 117016. https://doi.org/10.1016/j.apenergy.2021.117016
      Wang, S. H., Chen, Z., Chen, S. N., 2019. Applicability of Deep Neural Networks on Production Forecasting in Bakken Shale Reservoirs. Journal of Petroleum Science and Engineering, 179: 112-125. https://doi.org/10.1016/j.petrol.2019.04.016
      Xu, S. Q., Feng, Q. H., Wang, S., et al., 2018. Optimization of Multistage Fractured Horizontal Well in Tight Oil Based on Embedded Discrete Fracture Model. Computers & Chemical Engineering, 117: 291-308. https://doi.org/10.1016/j.compchemeng.2018.06.015
      Yang, C. D., Vyas, A., Datta-Gupta, A., et al., 2017. Rapid Multistage Hydraulic Fracture Design and Optimization in Unconventional Reservoirs Using a Novel Fast Marching Method. Journal of Petroleum Science and Engineering, 156: 91-101. https://doi.org/10.1016/j.petrol.2017.05.004
      Yao, J., Li, Z. H., Liu, L. J., et al., 2021. Optimization of Fracturing Parameters by Modified Variable-Length Particle-Swarm Optimization in Shale-Gas Reservoir. SPE Journal, 26(2): 1032-1049. https://doi.org/10.2118/205023-PA
      Yong, R., Chang, C., Zhang, D. L., et al., 2020. Optimization of Shale-Gas Horizontal Well Spacing Based on Geology-Engineering-Economy Integration: A Case Study of Well Block Ning 209 in the National Shale Gas Development Demonstration Area. Natural Gas Industry, 40(7): 42-48 (in Chinese with English abstract).
      Zhang, L., Li, Z. P., Lai, F. P., et al., 2019. Integrated Optimization Design for Horizontal Well Placement and Fracturing in Tight Oil Reservoirs. Journal of Petroleum Science and Engineering, 178: 82-96. https://doi.org/10.1016/j.petrol.2019.03.006
      陈晓江, 2003. 盈亏分析在油田开发经济中的设计理论和方法研究(硕士学位论文). 天津: 天津大学.
      郭艳东, 王卫红, 刘华, 等, 2018. 页岩气多段压裂水平井产能影响因素研究. 科技通报, 34(4): 72-78, 83. https://www.cnki.com.cn/Article/CJFDTOTAL-KJTB201804015.htm
      何希鹏, 2021. 四川盆地东部页岩气甜点评价体系与富集高产影响因素. 天然气工业, 41(1): 59-71. https://www.cnki.com.cn/Article/CJFDTOTAL-TRQG202101007.htm
      黄浩勇, 范宇, 曾波, 等, 2020. 长宁区块页岩气水平井组地质工程一体化. 科学技术与工程, 20(1): 175-182. https://www.cnki.com.cn/Article/CJFDTOTAL-KXJS202001028.htm
      李东海, 姚红生, 何希鹏, 等, 2022. 复杂构造区常压页岩气地质理论与资源潜力. 北京: 地质出版社.
      李庆辉, 陈勉, Wang, F. P., 等, 2012. 工程因素对页岩气产量的影响——以北美Haynesville页岩气藏为例. 天然气工业, 32(4): 54-59, 123. https://www.cnki.com.cn/Article/CJFDTOTAL-TRQG201204016.htm
      刘欣, 张莉娜, 张耀祖, 2018. 川东南页岩气井压裂参数对开发效果的影响——以LP-133HF井为例. 油气藏评价与开发, 8(5): 77-80. https://www.cnki.com.cn/Article/CJFDTOTAL-KTDQ201805013.htm
      雍锐, 常程, 张德良, 等, 2020. 地质工程—经济一体化页岩气水平井井距优化——以国家级页岩气开发示范区宁209井区为例. 天然气工业, 40(7): 42-48. 16 https://www.cnki.com.cn/Article/CJFDTOTAL-TRQG202007007.htm
    • 加载中

    Catalog

      通讯作者: 陈斌, bchen63@163.com
      • 1. 

        沈阳化工大学材料科学与工程学院 沈阳 110142

      1. 本站搜索
      2. 百度学术搜索
      3. 万方数据库搜索
      4. CNKI搜索

      Figures(7)  / Tables(3)

      Article views (992) PDF downloads(108) Cited by()
      Proportional views

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return