Determining fractal parameter and depth of magnetic sources for ardabil geothermal area using aeromagnetic data by de-fractal approach

نویسندگان

  • A. Khojamli School of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran
  • A. Moradzadeh School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran
  • A. Nejati Kalateh School of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran
  • A. Roshandel Kahoo School of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran
  • F. Doulati Ardejani School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran
  • S. Porkhial Department of geothermal energy, Renewable Energy Organization of Iran, Ministry of Energy, Tehran, Iran
چکیده مقاله:

The Ardabil geothermal area is located in the northwest of Iran, which hosts several hot springs. It is situated mostly around the Sabalan Mountain. The Sabalan geothermal area is now under investigation for the geothermal electric power generation. It is characterized by its high thermal gradient and high heat flow. In this study, our aim is to determine the fractal parameter and top and bottom depths of the magnetic sources. A modified spectral analysis technique named “de-fractal spectral depth method” is developed and used to estimate the top and bottom depths of the magnetized layer. A mathematical relationship is used between the observed power spectrum (due to fractal magnetization) and an equivalent random magnetization power spectrum. The de-fractal approach removes the effect of fractal magnetization from the observed power spectrum, and estimates the parameters of the depth to top and depth to bottom of the magnetized layer using the iterative forward modelling of the power spectrum. This approach is applied to the aeromagnetic data of the Ardebil province. The results obtained indicated variable magnetic bottom depths ranging from 10.4 km in the northwest of Sabalan to about 21.1 km in the north of the studied area. In addition, the fractal parameter was found to vary from 3.7 to 4.5 within the studied area.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

determining fractal parameter and depth of magnetic sources for ardabil geothermal area using aeromagnetic data by de-fractal approach

the ardabil geothermal area is located in the northwest of iran, which hosts several hot springs. it is situated mostly around the sabalan mountain. the sabalan geothermal area is now under investigation for the geothermal electric power generation. it is characterized by its high thermal gradient and high heat flow. in this study, our aim is to determine the fractal parameter and top and botto...

متن کامل

Detection of Mo geochemical anomaly in depth using a new scenario based on spectrum–area fractal analysis

Detection of deep and hidden mineralization using the surface geochemical data is a challenging subject in the mineral exploration. In this work, a novel scenario based on the spectrum–area fractal analysis (SAFA) and the principal component analysis (PCA) has been applied to distinguish and delineate the blind and deep Mo anomaly in the Dalli Cu–Au porphyry mineralization area. The Dalli miner...

متن کامل

synthesis of amido alkylnaphthols using nano-magnetic particles and surfactants

we used dbsa and nano-magnetic for the synthesis of amido alkylnaphtols.

15 صفحه اول

Pedotransfer functions for estimating soil moisture content using fractal parameters in Ardabil province

Extended abstract 1- Introduction Soil moisture curve is an important characteristic of soil and its measurement is necessary for determining soil available water content for plant, evapotranspiration and irrigation planning. Direct measurements of soil moisture coefficients are time-consuming and costly. But it is possible to estimate these characteristics from readily available soil propert...

متن کامل

Geothermal area detection using Landsat 8 operational land imager and thermal infrared sensor data in Ardabil province, Iran

GIS and remote sensing technique with using Landsat 8 images data are very important methods for detection of geothermal resources. In this study, Land Surface Temperature (LST) for Ardabil province in northwest of Iran, was derived with the use of Landsat 8 Operational Land Imager (OLI) of 30 m spatial resolution and Thermal Infrared Sensor (TIRS) data of 100 m spatial resolution. We consider ...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 8  شماره 1

صفحات  93- 101

تاریخ انتشار 2017-01-01

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023