松辽盆地北部干热岩开发水热产出预测

doi:10.13278/j.cnki.jjuese.201504205

摘要/Abstract

摘要：

干热岩是一种分布广泛且储量巨大的清洁能源,在干热岩开发的前期,合理预测场地的水热产出能力具有重要的意义.笔者根据松辽盆地北部莺深2井的实际地质资料,以石油压裂设计软件FRACPRO为手段,进行了压裂模拟.根据模拟得到裂缝几何形态与孔、渗的性质,通过自编程序修正水热耦合地质模型中的单元参数,并利用TOUGH2软件模拟换热过程.模拟结果显示:在本文采取的压裂方式下,该地区单条裂缝的最大生产流速为8 kg/s,系统流动阻抗由初始的0.74 MPa/(kg·s) 增加为第10年的2.72 MPa/(kg·s);系统运行10 a后,生产温度降低了5.5 ℃,系统的平均产热功率为2 930 kJ/s.通过人工改造,改善了天然储层的渗流能力,获得了持续稳定的水热产出,证明储层改造方式科学合理,但如何提高热储的质量生产流速仍需进一步研究.

关键词: 干热岩, 水力压裂, 水热耦合, 数值模拟, 产热功率, 松辽盆地

Abstract:

Hot dry rock (HDR) is a kind of clean energy with wide distribution and huge resource reserves. At the early stages of HDR development, to predict the hydrothermal production of the site is of great significance. The authors conducted, fracturing simulation,using FRACPRO software based on the geological data of Yingshen-1 well in northern Songliao basin. The geometric features and the conductivity capacity of the resulting hydraulic fractures were imported into a 3-D geological model established with TOUGH2; then the heat transfer process was simulated. The simulation results show that the maximum production rate of the resulting fracture in this area is approximately 8 kg/s. The flow impedance increases from 0.74 MPa/(kg·s) to 2.72 MPa/(kg·s) during 10 years operation. The production temperature dropped 5.5 ℃ after 10 years operation. The calculated average heat production capacity is 2 930 kJ/s. The simulation results indicate that reservoir permeability is enhanced by artificial stimulation, the heat production is stable during the production process. It proves that the stimulation method is reasonable. The methods used to improve the hydrothermal production need further study.

Key words: hot dry rock, hydraulic fracturing, hydrothermal coupling, numerical simulation, heat production power, Songliao basin

中图分类号:

TK521

李正伟, 张延军, 郭亮亮, 金显鹏. 松辽盆地北部干热岩开发水热产出预测[J]. 吉林大学学报(地球科学版), 2015, 45(4): 1189-1197.

Li Zhengwei, Zhang Yanjun, Guo Liangliang, Jin Xianpeng. Prediction of Hydrothermal Production from Hot Dry Rock Development in Northern Songliao Basin[J]. Journal of Jilin University(Earth Science Edition), 2015, 45(4): 1189-1197.

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