Enhancement of fluid flow performance through deep fractured rocks in an in-situ leaching potential mine site using discrete fracture network (DFN)

地质学 断裂(地质) 岩土工程 地下水流 多孔性 流量(数学) 浸出(土壤学) 磁导率
作者
Wenli Yao,Sharifzadeh Mostafa,Ericson Ericson,Zhen Yang,Guang Xu,Chris Aldrich
出处
期刊:Geomechanics and Engineering [Techno-Press]
卷期号:18 (6): 585-594 被引量:3
标识
DOI:10.12989/gae.2019.18.6.585
摘要

In-situ leaching could be one of the promising mining methods to extract the minerals from deep fractured rock mass. Constrained by the low permeability at depth, however, the performance does not meet the expectation. In fact, the rock mass permeability mainly depends on the pre-existing natural fractures and therefore play a crucial role in in-situ leaching performance. More importantly, fractures have various characteristics, such as aperture, persistence, and density, which have diverse contributions to the promising method. Hence, it is necessary to study the variation of fluid rate versus fracture parameters to enhance in-situ leaching performance. Firstly, the subsurface fractures from the depth of 1500m to 2500m were mapped using the discrete fracture network (DFN) in this paper, and then the numerical model was calibrated at a particular case. On this basis, the fluid flow through fractured rock mass with various fracture characteristics was analyzed. The simulation results showed that with the increase of Fisher\' K value, which determine the fracture orientation, the flow rate firstly decreased and then increased. Subsequently, as another critical factor affecting the fluid flow in natural fractures, the fracture transmissivity has a direct relationship with the flow rate. Sensitive study shows that natural fracture characteristics play a critical role in in-situ leaching performance.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
今后应助WWZ采纳,获得10
2秒前
2秒前
Teletubbies应助Frank采纳,获得30
2秒前
ZHDNCG完成签到,获得积分10
2秒前
2秒前
Vyasa完成签到,获得积分10
2秒前
小马甲应助大气靳采纳,获得10
3秒前
3秒前
量子星尘发布了新的文献求助10
4秒前
4秒前
小蘑菇应助黄伟凯采纳,获得10
4秒前
L~完成签到,获得积分10
5秒前
cc举报wenzi96求助涉嫌违规
5秒前
ChiariRay完成签到,获得积分10
6秒前
Forever完成签到 ,获得积分10
6秒前
6秒前
光亮亦竹完成签到 ,获得积分10
8秒前
8秒前
Shumaila发布了新的文献求助10
8秒前
9秒前
9秒前
魔幻灵煌发布了新的文献求助10
10秒前
Lucas应助淡定采纳,获得10
10秒前
yyds发布了新的文献求助10
10秒前
10秒前
11秒前
11秒前
量子星尘发布了新的文献求助10
11秒前
chimchim完成签到,获得积分10
11秒前
keyan完成签到,获得积分10
12秒前
nostalgic完成签到,获得积分10
14秒前
小刺猬发布了新的文献求助30
14秒前
chimchim发布了新的文献求助10
14秒前
14秒前
berg发布了新的文献求助10
14秒前
ll完成签到,获得积分10
14秒前
liyangyang完成签到,获得积分10
15秒前
gawang发布了新的文献求助30
15秒前
xfwang完成签到,获得积分10
16秒前
共享精神应助棋士采纳,获得10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5718021
求助须知:如何正确求助?哪些是违规求助? 5250051
关于积分的说明 15284272
捐赠科研通 4868198
什么是DOI,文献DOI怎么找? 2614063
邀请新用户注册赠送积分活动 1563973
关于科研通互助平台的介绍 1521425