Well-Testing Model for Dual-Porosity Reservoir considering Stress-Sensitivity and Elastic Outer Boundary Condition

拉普拉斯变换 偏微分方程 灵敏度(控制系统) 数学 边值问题 拉普拉斯方程 数学分析 非线性系统 机械 应用数学 物理 工程类 量子力学 电子工程
作者
Song Chol Kim,Song Guk Han,Yong Song,Jin-Sim Kim,Myong Gun Hong
出处
期刊:Geofluids [Hindawi Limited]
卷期号:2023: 1-16
标识
DOI:10.1155/2023/4658604
摘要

Stress sensitivity and the elastic outer boundary (EOB) condition have a great effect on the analysis of the characteristics of the fluid flow in a reservoir. When researchers analyzed the characteristics of the fluid flow, they have considered the stress sensitivity and the EOB condition separately but have not considered them simultaneously. Therefore, errors are inevitable during the analysis of well testing. The main object of this work is to present a well-testing model for stress-sensitivity dual-porosity reservoir (DPR) with EOB to improve the accuracy of the analysis of well-testing data. To this end, in this paper, we established a well-testing model for the DPR, considering the stress sensitivity and the EOB simultaneously, and presented its semianalytical solution. On the basis of the consideration of the EOB condition and stress sensitivity of permeability (SSP), a seepage model for the DPR with the EOB is built using the continuity equation, motion equation, state equation, and interporosity flow equation between matrix and fracture, which considers the stress sensitivity, wellbore storage, and skin. To solve this model, a nonlinear partial differential equation is changed into a linear form of a partial differential equation by introducing an effective well radius and applying Pedrosa’s transformation and perturbation transformation. Applying the Laplace transformation, an analytical solution in the Laplace space is obtained, and curves of pressure and pressure derivative (PPD) are drawn by numerically inverting them. The model is verified by comparing it with the EOB without consideration of SSP and using case data. The sensitivity of parameters on the curves of PPD is analyzed. This work may be significant for evaluating more accurately the parameters of wells and reservoirs using well testing.

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
刚刚
嘿嘿嘿完成签到,获得积分10
1秒前
anan完成签到,获得积分10
1秒前
领导范儿应助BlackSwan采纳,获得10
1秒前
1秒前
东郭之瑶完成签到,获得积分10
1秒前
影流完成签到,获得积分10
1秒前
2秒前
害羞耷发布了新的文献求助10
2秒前
小马甲应助nczpf2010采纳,获得10
2秒前
XXXXXX完成签到,获得积分10
2秒前
小太阳发布了新的文献求助10
3秒前
忧郁的玉米投手完成签到,获得积分10
3秒前
drchen完成签到 ,获得积分20
3秒前
爆米花应助少7一点8采纳,获得10
4秒前
Tardigrade发布了新的文献求助30
4秒前
pretty_wy发布了新的文献求助20
4秒前
wnx001111完成签到,获得积分10
4秒前
XXXXXX发布了新的文献求助10
4秒前
5秒前
5秒前
星辰大海应助小心台阶采纳,获得10
5秒前
Mitophagy完成签到,获得积分10
6秒前
@@@发布了新的文献求助10
6秒前
6秒前
bkagyin应助舒心小凡采纳,获得10
6秒前
JamesPei应助鱼大大采纳,获得10
6秒前
LDY发布了新的文献求助10
7秒前
宁霸发布了新的文献求助30
7秒前
丞知完成签到,获得积分10
7秒前
周震洋发布了新的文献求助20
8秒前
天气晴发布了新的文献求助10
8秒前
失眠的问梅完成签到,获得积分10
8秒前
8秒前
erwasong发布了新的文献求助10
9秒前
9秒前
咕噜仔发布了新的文献求助10
9秒前
量子星尘发布了新的文献求助10
9秒前
喜悦秋白完成签到,获得积分10
9秒前
dupurui完成签到,获得积分10
10秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 40000
(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
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
Les Mantodea de guyane 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
„Semitische Wissenschaften“? 1510
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 5751092
求助须知:如何正确求助?哪些是违规求助? 5466905
关于积分的说明 15368802
捐赠科研通 4890277
什么是DOI,文献DOI怎么找? 2629616
邀请新用户注册赠送积分活动 1577855
关于科研通互助平台的介绍 1534083