Adopting normalized full gradient method for regional‐scale gravity modelling: A case study for Northwestern Iran

地质学 布格异常 重力异常 区域地质 大地测量学 最大值和最小值 比例(比率) 接收器功能 工程地质 合成数据 功能(生物学) 地形 地球物理学 计算机科学 地震学 算法 物理 数学 数学分析 构造学 岩石圈 古生物学 生态学 变质岩石学 量子力学 进化生物学 油田 火山作用 生物
作者
Alice Alipour,Khalil Motaghi,Zahra Mousavi,Hamideh Cheraghi,Seyed Abdoreza Saadat
出处
期刊:Geophysical Prospecting [Wiley]
卷期号:72 (2): 833-856
标识
DOI:10.1111/1365-2478.13433
摘要

Abstract The normalized full gradient was developed to determine anomalous bodies, such as oil and gas fields or simple geological structures studies. We believe that even in complicated geology, normalized full gradient is practical. We introduce data preprocessing and use step‐by‐step simple‐to‐complicated synthetic tests to develop previous researchers’ ideas for regional‐scale gravity modelling. One of the most important steps of the normalized full gradient is the determination of the N optimum value. We found that prevalent methods such as the standard spectral or maxima method are feasible in simple structures only. So, we have suggested the imaging criteria routine for complicated cases. We trace maximum normalized full gradient responses to detect the normalized full gradient responses at the increasing harmonic numbers as the transition of the extensive part of the anomaly to the sharp part of that. With imaging criteria for the determination of N optimum values, the complicated synthetic test results show the success of the normalized full gradient to understand complicated gravity signals. In the real case, we have studied the Northwestern Iran normalized full gradient model of the Bouguer ground gravity data beneath the seismic profile and prepared a P receiver function depth section to uncover the geometry of the Moho boundary and important interfaces in the crust. We suggest the inferred synthetic model from the Bouguer ground gravity anomaly and P receiver function depth section to normalized full gradient trustworthy test in real cases. According to the synthetic test results, we understand the frame of the normalized full gradient responses in the semi‐real case and truthful responses in the real case. Along with this, we study the second ground gravity profile of Northwestern Iran in a good resolution to uncover the deeper structures. The real case results show the possibility of Moho offset and thinning lithosphere beneath the North Tabriz Fault lithospheric boundary, the possible source of Sahand volcanic centre at the west side of the Moho offset beneath North Tabriz Fault, the deep root of the Sabalan volcanic centre in the lower crust and the lithospheric and asthenospheric wedge with the density contrast beneath Sahand–Sabalan volcanic centres. One of the most important results of our study is the lithosphere–asthenosphere boundary offset and stepped Moho possibility beneath the Talesh Mts next to the South Caspian Basin boundary.

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
zeroayanami0完成签到,获得积分10
2秒前
Owen应助Xie采纳,获得10
2秒前
Dickson发布了新的文献求助10
2秒前
道格拉斯完成签到,获得积分20
3秒前
4秒前
韩俊杰发布了新的文献求助10
5秒前
刘志桐发布了新的文献求助10
6秒前
6秒前
6秒前
7秒前
aweijay完成签到,获得积分10
7秒前
铭轩完成签到,获得积分10
8秒前
季思锐发布了新的文献求助10
10秒前
啦啦啦发布了新的文献求助10
10秒前
10秒前
zhu完成签到 ,获得积分10
10秒前
烟花应助端庄冬日采纳,获得10
11秒前
taiyang发布了新的文献求助10
11秒前
腻腻关注了科研通微信公众号
12秒前
鳗鱼鹏涛发布了新的文献求助10
13秒前
蒋念寒发布了新的文献求助10
13秒前
zhangzf完成签到,获得积分10
14秒前
15秒前
成子完成签到,获得积分10
15秒前
leungzzz完成签到 ,获得积分10
16秒前
豆豆发布了新的文献求助10
17秒前
韩俊杰完成签到,获得积分10
18秒前
sooyaaa完成签到,获得积分10
18秒前
刘志桐完成签到,获得积分10
19秒前
CodeCraft应助认真的一一采纳,获得10
20秒前
Zinc完成签到,获得积分10
20秒前
123567完成签到 ,获得积分10
20秒前
Eric_Zhou发布了新的文献求助10
22秒前
Battery-Li完成签到,获得积分10
23秒前
24秒前
531完成签到,获得积分10
27秒前
29秒前
29秒前
情怀应助月明青溪采纳,获得10
30秒前
小熊完成签到,获得积分10
31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
Markov Chain Monte Carlo 5000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7491709
求助须知:如何正确求助?哪些是违规求助? 9083709
关于积分的说明 19372433
捐赠科研通 7104530
什么是DOI,文献DOI怎么找? 3249305
关于科研通互助平台的介绍 2418873
邀请新用户注册赠送积分活动 2234814