页岩气井压裂液返排与生产阶段的压裂裂缝特征差异研究 -

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页岩气井压裂液返排与生产阶段的压裂裂缝特征差异研究

doi:10.6052/0459-1879-23-031

刘文超^*,,,
乔成成^*,
汪萍^†,
黄文松^†,
刘曰武^**,
丁伟^†,
孙玉平^†

*.
北京科技大学土木与资源工程学院, 北京 100083
†.
中国石油勘探开发研究院, 北京 100083
**.
中国科学院力学研究所, 北京 100190

基金项目:中国石油科技创新基金资助项目(2021DQ02-0901)

详细信息

通讯作者:
刘文超, 副教授, 主要研究方向为非常规油气渗流力学 . E-mail:liuwenchao@ustb.edu.cn

中图分类号:TE33⁺2
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- 被引次数:0
出版历程
- 收稿日期:2023-02-02
- 录用日期:2023-04-26
- 网络出版日期:2023-04-27
- 刊出日期:2023-06-18

STUDY ON FRACTURE CHARACTERISTICS DIFFERENCE BETWEEN FRACTURING FLUID FLOWBACK AND GAS PRODUCTION STAGES OF SHALE GAS WELLS

*.
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
†.
PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China
**.
Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China

摘要

摘要:水平井分段压裂是实现页岩气经济开发的关键技术, 生产过程压裂裂缝闭合会对开采产生不利影响. 由于生产动态数据误差较大且震荡严重, 与渗流数学模型内边界条件不匹配, 目前很少有基于生产动态数据分析来定量评价压裂液返排与页岩气生产阶段压裂裂缝特征差异的方法. 为此, 文章提出一种基于反褶积的量化评估返排与生产阶段压裂裂缝特征差异的生产动态数据分析系统新方法. 首先, 给出返排和生产阶段的渗流模型及其Laplace解. 之后, 利用压力反褶积算法分别对两阶段的生产动态数据进行归一化处理. 并使反褶积计算的归一化参数调试与渗流模型计算的参数调试在特征曲线拟合过程中相互制约, 分别解释出两阶段的裂缝半长及裂缝导流能力. 最后, 引入导流能力模量, 对两阶段的压裂裂缝特征差异进行了量化评估. 利用此方法对现场10口井的分析结果表明: 本方法可以有效量化评估返排与生产阶段压裂裂缝特征差异; 相比于返排阶段, 生产阶段的裂缝导流能力下降了约两个数量级, 裂缝发生了明显闭合. 文章建立的分析方法对页岩气藏后期增产措施优化有重要参考价值.
- 页岩气/
- 分段压裂水平井/
- 动态数据分析/
- 反褶积/
- 特征曲线
Abstract:Horizontal well staged fracturing is the key technology to realize the economic development of shale gas. The closure of fracturing fractures in the production process will have adverse effects on the exploitation. Due to the large errors and serious oscillations of dynamic production data, it does not match the internal boundary conditions of the seepage flow mathematical model. Therefore, there are few quantitative methods to evaluate the difference of fracture characteristics between fracturing fluid flowback stage and shale gas production stage based on dynamic production data analysis currently. Based on this concern, a new method of production dynamic data analysis based on deconvolution is proposed to quantitatively evaluate the difference of fracture characteristics between flowback stage and production stage in this paper. Firstly, the seepage flow models and their Laplace solutions corresponding to flowback stage and production stage are given. Secondly, the pressure deconvolution algorithm is used to normalize the dynamic production data of the two stages. Then, the normalization parameter adjustment of deconvolution calculation and the parameter adjustment of theoretical seepage flow model calculation are mutually restricted in the process of typical curve fitting, and the fracture half-length and fracture conductivity of the two stages are interpreted respectively. Finally, the conductivity modulus is introduced to quantitatively evaluate the difference of fracture characteristics between flowback stage and production stage. The established method is used to analyze 10 wells in the field. The results show that this method can effectively quantify the difference of fracturing fracture characteristics between flowback stage and production stage; compared with the flowback stage, the fracture conductivity decreased by about two orders of magnitude in the production stage, and the fracture closed significantly. The analysis method established in this paper has important reference value for the optimization of stimulation measures in the later stage of shale gas reservoir.
- shale gas/
- multi-stage fractured horizontal well/
- dynamic data analysis/
- deconvolution/
- typical curve

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图 1分段压裂水平井三线性渗流物理模型

Figure 1.Trilinear seepage physical model of multi-stage fractured horizontal wells

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图 2后期生产阶段动态数据分析流程图

Figure 2.Dynamic data analysis flow chart of later production stage

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图 3前期返排阶段动态数据分析流程图

Figure 3.Dynamic data analysis flow chart of early flowback stage

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图 4分段压裂水平井页岩气日产量及拟井底流压数据

Figure 4.Shale gas production rate and pseudo bottom hole flowing pressure in the multi-stage fractured horizontal well

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图 5后期生产阶段单位流量下的拟压差数据拟合结果图

Figure 5.Fitting result diagram of pseudo pressure drop data per unit flow rate in later production stage

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图 6归一化数据单位流量下的拟压力降和拟压力降导数双对数特征曲线拟合效果图

Figure 6.Fitting results diagram of log-log typical curves of normalized data and pseudo pressure drop and pseudo pressure drop derivative per unit flow rate

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图 7页岩气藏流态识别图

Figure 7.Flow pattern identification diagram of shale gas reservoir

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图 8现场页岩气日产量及模型计算日产量拟合效果图

Figure 8.Fitting effect drawing of production data of field shale gas and production data calculated by model

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图 9分段压裂水平井压裂液日产量及井底流压数据

Figure 9.Shale gas fracturing fluid flow rate and bottom hole flowing pressure in the multi-stage fractured horizontal well

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图 10前期返排阶段单位流量下的拟压差数据拟合结果图

Figure 10.Fitting result diagram of pseudo pressure drop data per unit flow rate in early flowback stage

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图 11返排阶段的归一化数据的双对数特征曲线拟合效果图

Figure 11.Fitting results diagram of log-log typical curves of normalized data in flowback stage

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表 1后期生产阶段特征曲线解释参数结果

Table 1.Interpretation results of typical curve in later production stage

Parameters	Value
main fracture half-length/m	37
main fracture conductivity/(mD·cm)	6
outer boundary distance/m	110
inter-fracture zone permeability/mD	0.1
matrix permeability/mD	0.0001
main fracture porosity	0.15
inter-fracture zone porosity	0.05
matrix porosity	0.03
main fracture composite compressibility /MPa⁻¹	0.005
inter-fracture zone composite compressibility/MPa⁻¹	0.0022
matrix composite compressibility /MPa⁻¹	0.006

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表 2前期返排阶段特征曲线解释参数结果

Table 2.Interpretation results of typical curve in early flowback stage

Parameters	Value
main fracture half-length/m	8.5
main fracture conductivity/(mD·cm)	390
main fracture porosity	0.15
main fracture composite compressibility /MPa⁻¹	0.0004

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表 310口井的不同阶段裂缝特征汇总

Table 3.Fracture characteristics of 10 wells at different stages

Parameters	x_F/m	C_FD/(mD·cm)	*D_CFD/%		γ_k/MPa⁻¹
well 1 later	37	6		98.46	0.16866
well 1 early	8	390		98.46	0.16866
well 2 later	35	6.3		98.09	0.10581
well 2 early	8	330		98.09	0.10581
well 3 later	40	6		98.67	0.11776
well 3 early	15	450		98.67	0.11776
well 4 later	33	8.1		98.58	0.10742
well 4 early	16	570		98.58	0.10742
well 5 later	33	4.2		99.18	0.12292
well 5 early	10	510		99.18	0.12292
well 6 later	30	5.4		99.00	0.12802
well 6 early	10	540		99.00	0.12802
well 7 later	20	11.4		98.10	0.11276
well 7 early	8	600		98.10	0.11276
well 8 later	30	16.5		95.77	0.084981
well 8 early	10	390		95.77	0.084981
well 9 later	36	8.7		98.55	0.13613
well 9 early	20	600		98.55	0.13613
well 10 later	50	18		97.14	0.07831
well 10 early	21	630		97.14	0.07831
*D_CFDmeans the decreased degree of fracture conductivity.

下载: 导出CSV

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