邱峰,刘晋华,蔡益栋,等. 基于测井的煤层力学特性评价及煤层气开发有利区预测−以沁南郑庄区块3号煤层为例[J]. 煤田地质与勘探,2023,51(4):46−56. DOI: 10.12363/issn.1001-1986.22.10.0808
引用本文: 邱峰,刘晋华,蔡益栋,等. 基于测井的煤层力学特性评价及煤层气开发有利区预测−以沁南郑庄区块3号煤层为例[J]. 煤田地质与勘探,2023,51(4):46−56. DOI: 10.12363/issn.1001-1986.22.10.0808
QIU Feng,LIU Jinhua,CAI Yidong,et al. Mechanical property evaluation of coal bed and favorable area prediction of coalbed methane (CBM) development based on well logging: A case study of No. 3 coal bed in Zhengzhuang Block, southern Qinshui Basin[J]. Coal Geology & Exploration,2023,51(4):46−56. DOI: 10.12363/issn.1001-1986.22.10.0808
Citation: QIU Feng,LIU Jinhua,CAI Yidong,et al. Mechanical property evaluation of coal bed and favorable area prediction of coalbed methane (CBM) development based on well logging: A case study of No. 3 coal bed in Zhengzhuang Block, southern Qinshui Basin[J]. Coal Geology & Exploration,2023,51(4):46−56. DOI: 10.12363/issn.1001-1986.22.10.0808

基于测井的煤层力学特性评价及煤层气开发有利区预测以沁南郑庄区块3号煤层为例

Mechanical property evaluation of coal bed and favorable area prediction of coalbed methane (CBM) development based on well logging: A case study of No. 3 coal bed in Zhengzhuang Block, southern Qinshui Basin

  • 摘要: 准确掌握煤岩力学性质对储层改造及煤层气开发具有重要意义,以郑庄区块3号煤层为研究层位,建立以多测井参数为基础的煤储层横波时差预测模型和以动静态力学参数转换为依据的脆性指数评价模型;利用弹性参数法对研究区内煤储层脆性指数进行了综合评价,发现单井中煤层脆性指数受“边界效应”影响明显且分布具有区域性;脆性指数与煤体结构指数存在正相关关系,并据此提出以脆性指数为依据的煤体结构划分标准;脆性指数与抗压强度、抗拉强度均为负相关关系;四维地震裂缝监测结果显示碎裂结构煤压裂效果最好,原生结构煤次之,碎粒结构煤最差;最后,以含气量与脆性指数为主要评价参数,预测了区块内煤层气开发地质有利区,为煤储层压裂设计提供了依据。

     

    Abstract: Accurately grasping the mechanical properties of coal is of great significance to reservoir reconstruction and CBM development. Herein, the prediction model of shear wave time difference in coal reservoir based on multiple logging parameters and the brittleness index evaluation model based on dynamic and static mechanical parameter conversion were established for the research horizon of No.3 coal bed in Zhengzhuang Block. The brittleness index of coal reservoir in the study area was comprehensively evaluated by elastic parameter method. By this way, it is found that the brittleness index of coal bed in single well is obviously affected by “boundary effect” and in regional distribution. Besides, the brittleness index is positively correlated to the coal structure index, and put forward the classification standard of coal structure based on brittleness index. The brittleness index is negatively correlated with the compressive and tensile strength. In addition, the results of four-dimensional seismic fracture monitoring show that the coal in cataclastic structure has the best fracturing effect, followed by the coal in primary structure and granulitic structure successively. Finally, the favorable area of CBM development in the block was predicted with gas content and brittleness index as the main evaluation parameters, which provides a basis for the fracturing design of coal reservoir.

     

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