Application of multivariate regression on magnetic data to determine further drilling site for iron exploration
In this study, a new approach of the multivariate regression model has been applied to make a precise mathematical model to determine further drilling for the detailed iron exploration in the Koohbaba area, Northwest of Iran. Furthermore, to figure out the additional drilling locations, the ore leng...
Guardado en:
Autores principales: | Feizi Faranak, Karbalaei-Ramezanali Amir Abbas, Farhadi Sasan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
De Gruyter
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2c3eee78033540c3ac482224d46f7222 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Historical aspects of drilling of oil and gas wells – from project to practice (look from the past in the future)
por: R. I. Stefurak, et al.
Publicado: (2021) -
EXPERIMENTAL STUDY OF THE EFFECT OF COOLING LUBRICATING FLUIDS ON PENETRATION RATE IN A HARD AND SOFT ROCK DRILLING PROCESS
por: Shahrokh Khosravimanesh, et al.
Publicado: (2021) -
Study on Distribution of Wellbore Temperature in Gas Drilling with Gradient Equations
por: Zhongxi Zhu, et al.
Publicado: (2021) -
Synthesis of a Novel Filtrate Reducer and Its Application in Water-Based Drilling Fluid for Ultra-High-Temperature Reservoirs
por: Dongyu Qiao, et al.
Publicado: (2021) -
ENSO-ASC 1.0.0: ENSO deep learning forecast model with a multivariate air–sea coupler
por: B. Mu, et al.
Publicado: (2021)