基于采灌均衡模拟的砂岩热储合理采灌井距计算方法

段晓飞; 康凤新; 吴晓华; 王明珠; 杨亚宾; 战静华; 陈京鹏

doi:10.19509/j.cnki.dzkq.tb20230268

基于采灌均衡模拟的砂岩热储合理采灌井距计算方法

doi: 10.19509/j.cnki.dzkq.tb20230268

段晓飞^{1, 5, 6, 7,},
康凤新^{2, 3, 4, ,},
吴晓华^{1, 5, 6, 7},
王明珠^{1, 5, 6},
杨亚宾^{1, 5, 6, 7},
战静华¹,
陈京鹏¹

1.
山东省地质矿产勘查开发局第二水文地质工程地质大队, 山东德州 253072
2.
山东科技大学地球科学与工程学院, 山东青岛 266590
3.
山东省地质矿产勘查开发局八○一水文地质工程地质大队, 济南 250014
4.
济南大学水利与环境学院, 济南 250022
5.
山东省地热清洁能源探测开发与回灌工程技术研究中心, 山东德州 253072
6.
德州市地热清洁能源开发利用中试基地, 山东德州 253072
7.
德州市深层地质能节能减碳重点实验室, 山东德州 253072

基金项目:

国家自然科学基金项目 42072331

国家自然科学基金项目 U1906209

泰山学者工程专项经费 tstp20230626

山东省部省合作地质勘查项目鲁勘字[2020]44[2021]49号

山东省地质矿产勘查开发局2022年科技引领项目鲁地字[2022]15号

详细信息

作者简介:
段晓飞, E-mail: changtingsongbie@163.com

通讯作者:
康凤新, E-mail: kangfengxin@126.com

中图分类号: P314
计量
- 文章访问数: 354
- PDF下载量: 41
- 被引次数: 0
出版历程
- 收稿日期: 2023-05-22
- 录用日期: 2023-11-17
- 修回日期: 2023-11-14

A methodology for determining the optimal well spacing in sandstone geothermal reservoirs through production-reinjection equilibrium simulation

DUAN Xiaofei^{1, 5, 6, 7
,},
KANG Fengxin^{2, 3, 4
, ,},
WU Xiaohua^{1, 5, 6, 7},
WANG Mingzhu^{1, 5, 6},
YANG Yabin^{1, 5, 6, 7},
ZHAN Jinghua¹,
CHEN Jingpeng¹

1.
The Second Institute of Hydrogeology and Engineering Geology, Shandong Provincial Bureau of Geology & Mineral Resources(SPBGM), Dezhou Shandong 253072, China
2.
College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao Shandong 266590, China
3.
801 Institute of Hydrogeology and Engineering Geology, SPBGM, Jinan 250014, China
4.
School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
5.
Shandong Provincial Research Center of Geothermal Resources, Dezhou Shandong 253072, China
6.
Geothermal Clean Energy Development and Utilization Pilot Base in Dezhou City, Dezhou Shandong 253072, China
7.
Dezhou Deep Geothermal Energy Conservation and Carbon Reduction Key Laboratory, Dezhou Shandong 253072, China

More Information

Author Bio:
DUAN Xiaofei, E-mail: changtingsongbie@163.com

Corresponding author: KANG Fengxin, E-mail: kangfengxin@126.com

摘要

摘要:
为实现地热能可持续开发利用的目标, 需要明确不同采灌条件下合理的采灌井间距。为此, 以鲁北馆陶组热储为研究对象, 建立了层状热储开发的概念模型及数学模型, 采用COMSOL Multiphysics多场耦合模拟软件建立了地热对井采灌井距计算器。通过参数拟合及模拟结果对比, 验证了模型的准确性; 进而以软件APP编译功能为基础, 以普通用户使用为导向, 简化相关参数输入, 建立了地热采灌井距计算APP。为适应实际生产需求, 计算了不同采灌量条件下对应的合理采灌井距。计算结果表明: 鲁北地区馆陶组热储采灌量分别为40, 60, 80, 100 m³/h时, 不发生热突破的合理采灌井距分别为290, 330, 360, 390 m。研究表明: (1)在鲁北层状传导型砂岩热储地区, 对概念模型进行简化处理后, 数值模拟计算结果可靠, 可以在该地区建立合理采灌井距计算APP; (2)水热数值模拟是合理采灌井距计算的有力手段, 能够确定开采量、回灌量、回灌温度、采灌井距等地热开发利用工程的关键参数, 有利于实现地热资源可持续开发利用。
- 砂岩热储 /
- 采灌工程 /
- 采灌井距 /
- 热突破 /
- 水热耦合模拟 /
- APP
Abstract: Objective
In order to accomplish the objective of sustainable development and utilization of geothermal energy, it is imperative to elucidate the optimal production-reinjection well spacing considering varying quantities and temperatures of reinjection.
Methods
The thermal reservoir of the Guantao Formation in northern Shandong Province is selected as the research subject, and a conceptual model and mathematical model for layered thermal reservoir development are established. COMSOL Multiphysics multifield coupling simulation software is employed to develop a geothermal production-reinjection well spacing calculator. The accuracy of the model is validated through parameter fitting and simulation results.
Results
Based on the software APP development function, which is guided by the input of ordinary users, the relevant parameter input was simplified for ease of use, leading to the establishment of an application for calculating geothermal production-reinjection well spacing. In contrast to previous studies that solely focused on production-reinjection well spacing, this study calculates optimal spacings under various conditions to meet real-world operational needs. The results indicate that the optimal production-reinjection well spacings, without experiencing thermal breakthrough are 290, 330, 360 m and 390 m at flow rates of 40, 60, 80 and 100 m³/h respectively.
Conclusion
In the layered conductive sandstone thermal reservoir area of northern Shandong, a reliable geothermal production-reinjection well-spacing calculator was developed through simplification of the conceptual model and credible numerical simulation results. Hydrothermal numerical simulation serves as a robust approach to determine rational production-reinjection well spacings, which are crucial parameters for geothermal development and utilization projects including exploitation quantity, recharge quantity, injection temperature, and production-reinjection well spacing. These determinations contribute to the sustainable development and utilization of geothermal resources.
- sandstone geothermal reservoir /
- production-reinjection project /
- production-reinjection well spacing /
- thermal breakthrough /
- hydrothermal coupled modeling /
- APP
注释:

所有作者声明不存在利益冲突。

HTML全文

图 1 鲁北地质构造图(据文献[15]修改)

a.鲁西北平原; b.济阳坳陷; c.临清坳陷; d.沧县隆起; e.内黄凸起; f.埕宁凸起; g.黄骅坳陷; h.冀中坳陷; i.渤中坳陷; j.辽河坳陷

Figure 1. Geological structure map of northern Shandong

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图 2 地热资源形成概念模型图(地层代号见正文)

Figure 2. Conceptual model diagram of geothermal resource formation

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图 3 概念模型示意图

Q_out为开采量，m³/h；Q_in为回灌量，m³/h；T_out为井口温度，℃；T_in为回灌温度，℃；T_top为当地恒温带温度，℃；ΔT为温度梯度，℃/m；φ为有效孔隙度; K_eff为热储层导热率, W/mK; 下同

Figure 3. Conceptual model diagram

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图 4 模型的初始及边界条件

q_c为大地热流密度, mW/m²

Figure 4. Initial and boundary conditions of the model

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图 5 矩形周期函数

Figure 5. Rectangular periodic function

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图 6 温度测井及参数拟合图

Figure 6. Temperature logging and parameter fitting diagram

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图 7 对井采灌第100 a热储层温度分布(a)及历年井口温度动态变化图(b)(采灌井距180 m，采灌量60 m³/h)

Figure 7. Temperature distribution of thermal reservoir(a) and the dynamic variation of wellhead water temperature in the 100th year(b) (production-reinjection well spacing 180 m, production and reinjection volume of 60 m³/h)

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图 8 合理采灌井距APP界面示意图

Figure 8. Interface diagram of the appropriate production and reinjection well spacing APP

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图 9 不同采灌量条件下开采温度计算

Figure 9. Mining temperature calculation under different reinjection quantities and reinjection temperatures

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图 10 不同采灌量条件下第100 a热储层温度分布

Figure 10. Temperature distribution of thermal reservoir in the 100th year under the different reinjection quantities

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表 1 德州市水文家园回灌井地层层序

Table 1. Stratigraphic sequence of reinjection well at the hydrological site in Dezhou

地层			深度/m	厚度/m	岩性
第四系(Q)			0	260	黏土、粉砂岩、中细砂岩
新近系	明化镇组(N₂m)		260	890	泥岩、中细砂岩
	馆陶组(N₁g)	上段	1 150	169	泥岩与细砂岩互层
	馆陶组(N₁g)	下段	1 319	217	砂砾岩
古近系	东营组(E₃d)		1 536(未揭穿)	8.5	泥岩

下载: 导出CSV

表 2 模型参数取值列表

Table 2. List of model parameter values

参数	取值	描述	参数	取值	描述
d_in/mm	177.8	回灌井井径	Q_in/(m³·h^-1)	60	回灌量
d_pro/mm	177.8	开采井井径	Q_out/(m³·h^-1)	60	开采量
L/m	180	采灌井间距	H_m/m	-80	水位标高
q_c/(W·m^-2)	0.062 9	大地热流密度	c_p/(J·kg^-1·K^-1)	909	热储层比热容
h_top/m	1 319	储层顶板埋深	k_c/(W·m^-1·K^-1)	2.1	储层热导率
H/m	217	热储层厚度	ρ_den/(kg·m^-3)	2 000	热储层密度
K_k/10^-3 μm²	1 000	储层渗透率	T_h/℃	35	回灌尾水温度
k_r	0.22	孔隙率	T_out/℃	54.4	井口温度
t/a	100	计算时长	t₁/Ms	1	输出时间间隔

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表 3 德州市水文家园模拟结果对比表

Table 3. Simulation results comparison table at the hydrological site in Dezhou

模型	开采量Q_out/(m³·h^-1)	回灌量Q_in/(m³·h^-1)	回灌温度T_in/℃	井距/m	第100 a井口温度T_out/℃
XU等^[12]	60	60	35	180	46.6
本文模型	60	60	35	180	47.3
XU等^[12]	40	40	35	180	48.2
本文模型	40	40	35	180	48.6

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