胜坨地区页岩油储层脆性井震联合预测
Integrated Well-Log and Seismic Prediction Method for Brittle Reservoirs of Shengtuo Area Shale Oil
摘要: 脆性指数(BI)是评价页岩油气储层的重要指标之一,在页岩油气勘探开发中对有利目标区评价、井位设计等有重要指导价值。与北美海相页岩油气储层相比,胜坨地区受多期次构造运动影响,构造非常复杂,储层非均质性强,相应的页岩油储层脆性预测评价技术匮乏。为此,研究针对胜坨地区复杂的构造和沉积特点,从ly2-1hf等井沙四纯上段页岩油储层岩芯样品分析入手,通过对地质、测井和地震等资料的综合研究,以及地震正演模拟方法的应用,明确了页岩油储层脆性的主要影响因素及敏感弹性参数,建立了本区页岩油储层6种岩相组合的测井曲线和地震响应特征与脆性指数关系,建立适用于本区的新的脆性指数计算模型,总结了基于敏感参数的叠前直接反演脆性指数的有效预测方法及技术流程,并取得了良好的应用效果。对于类似复杂地区页岩油气高效勘探开发具有重要指导意义。
Abstract: Brittleness index (BI) is one of the important indexes for evaluating shale oil and gas reservoirs, and it has important guiding value for favorable target area evaluation and well location design in shale oil and gas exploration and development. Compared with marine shale oil and gas reservoirs in North America, Shengtuo area is affected by multi-stage tectonic movement, with very complex structure and strong reservoir heterogeneity, and the corresponding shale oil reservoir brittleness prediction and evaluation technology is lacking. Therefore, in view of the complex structural and sedimentary characteristics in Shengtuo area, this study starts with the analysis of shale oil reservoir core samples in the upper member of Shasichun in Well ly2-1hf, and through the comprehensive study of geological, logging and seismic data, as well as the application of seismic forward modeling method, the main influencing factors and sensitive elastic parameters of shale oil reservoir brittleness are defined, and the relationship between logging curves and seismic response characteristics of six lithofacies combinations of shale oil reservoirs in this area and brittleness index is established. A new brittle index calculation model suitable for this area is established, and the effective prediction method and technical process of pre-stack direct inversion brittle index based on sensitive parameters are summarized, and good application results are obtained. It has important guiding significance for efficient exploration and development of shale oil and gas in similar complex areas.
文章引用:林玉婷. 胜坨地区页岩油储层脆性井震联合预测[J]. 地球科学前沿, 2025, 15(3): 293-304. https://doi.org/10.12677/ag.2025.153030

参考文献

[1] 邹才能, 董大忠, 王社教, 等. 中国页岩气形成机理、地质特征及资源潜力[J]. 石油勘探与开发, 2010, 37(6): 641-653.
[2] 贾承造, 郑民, 张永峰. 中国非常规油气资源与勘探开发前景[J]. 石油勘探与开发, 2012, 39(2): 129-136.
[3] 吕明久, 付代国, 何斌, 等. 泌阳凹陷深凹区页岩油勘探实践[J]. 石油地质与工程, 2012, 26(3): 85-87.
[4] 赵迪斐, 郭英海, 朱炎铭, 等. 深层海相页岩储层精准评价与开发选层的评价体系问题评述[J]. 非常规油气, 2022, 9(2): 1-7.
[5] Rickman, R., Mullen, M., Petre, E., Grieser, B. and Kundert, D. (2008) A Practical Use of Shale Petrophysics for Stimulation Design Optimization: All Shale Plays Are Not Clones of the Barnett Shale. SPE Annual Technical Conference and Exhibition, Denver, 21-24 September 2008, SPE-115258-MS. [Google Scholar] [CrossRef
[6] Guo, Z., Li, X., Liu, C., Feng, X. and Shen, Y. (2013) A Shale Rock Physics Model for Analysis of Brittleness Index, Mineralogy and Porosity in the Barnett Shale. Journal of Geophysics and Engineering, 10, Article 025006. [Google Scholar] [CrossRef
[7] 聂海宽, 何发岐, 包书景. 中国页岩气地质特殊性及其勘探对策[J]. 天然气工业, 2011, 31(11): 111-116.
[8] 邬雨茜. 海相页岩气与陆相页岩油地质特征对比研究[D]: [硕士学位论文]. 北京: 中国石油大学(北京), 2018.
[9] Sondergeld, C.H., Newsham, K.E., Comisky, J.T., Rice, M.C. and Rai, C.S. (2010) Petrophysical Considerations in Evaluating and Producing Shale Gas Resources. SPE Unconventional Gas Conference, Pittsburgh, 23-25 February 2010, SPE-131768-MS. [Google Scholar] [CrossRef
[10] 余杰, 秦瑞宝, 刘春成, 陈桂华. 页岩气储层测井评价与产量“甜点”识别——以美国鹰潭页岩气储层为例[J]. 中国石油勘探, 2017, 22(3): 104-112.
[11] 徐燕红, 潘仁芳. 页岩油岩石物理及地震响应特征分析[J]. 中国科技论文, 2016, 11(3): 298-301.
[12] 李邵军, 匡智浩, 邱士利. 岩石脆性评价方法研究进展及适应性探讨[J]. 工程地质学报, 2022, 30(1): 59-70.
[13] Hajiabdolmajid, V., Kaiser, P.K. and Martin, C.D. (2002) Modelling Brittle Failure of Rock. International Journal of Rock Mechanics and Mining Sciences, 39, 731-741. [Google Scholar] [CrossRef
[14] 曹东升, 曾联波, 吕文雅, 等. 非常规油气储层脆性评价与预测方法研究进展[J]. 石油科学通报, 2021, 6(1): 31-45.
[15] 张鹏. 基于地质参数的陆相泥页岩岩相预测[J]. 特种油气藏, 2014, 21(6): 65-69.
[16] 高秋菊, 谭明友, 张营革, 等. 陆相页岩油“甜点”井震联合定量评价技术——以济阳坳陷罗家地区沙三下亚段为例[J]. 油气地质与采收率, 2019, 26(1): 165-173.
[17] 陈祖庆, 郭旭升, 李文成, 等. 基于多元回归的页岩脆性指数预测方法研究[J]. 天然气地球科学, 2016, 27(3): 461-469.
[18] 宗兆云, 印兴耀, 张峰, 等. 杨氏模量和泊松比反射系数近似方程及叠前地震反演[J]. 地球物理学报, 2012, 55(11): 3786-3794.
[19] 苗永康. 叠前地震反演技术的应用条件及难点分析[J]. 油气地质与采收率, 2014, 21(6): 61-64.