Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Steinar Ellefmo is active.

Publication


Featured researches published by Steinar Ellefmo.


Mathematical Geosciences | 2013

The Value of Information in Mineral Exploration Within a Multi-Gaussian Framework

Jo Eidsvik; Steinar Ellefmo

In mineral resource evaluation a careful analysis and assessment of the geology, assay data and structural data is required. One important question is where to position the exploration boreholes, another is what method to use when analyzing the grade in the collected material. Here, a challenge of this type is whether one should analyze the collected core samples with accurate and expensive lab equipment or a simpler hand-held meter. A dataset of about 2000 oxide observations is available, along with relevant explanatory variables, from a deposit in Norway. A Gaussian geostatistical model is used to predict the grade parameter on block support. To improve the predictions, several new boreholes are planned, giving 265 additional samples. The associated uncertainty reduction is evaluated, and a resource evaluation is performed with and without the planned data. Then the value of information of the planned data is computed, using assumed costs, recovery rates and revenues. The data acquired with the hand-held meter has almost the same value as the more expensive acquisition strategy, given that the already established correlation between the two datasets is valid.


OCEANS 2017 - Aberdeen | 2017

ROV based drilling for deep sea mining exploration

Martin Ludvigsen; Fredrik Søreide; Kurt Aasly; Steinar Ellefmo; Michael Zylstra; Marshall Pardey

Exploring for minerals on the seabed is challenging — and the ability to collect representative sub surface samples is essential. The research project MarMine led by NTNU has together with Seattle based Williamson and Associates developed and tested an ROV-based drill rig for mineral (seafloor massive sulfides) and rock sampling. The ROCS system is a single stroke drill and is simple, robust and possible to use from various larger ROVs. For the vehicle to provide a stable platform, the vertical bollard pull of the ROV and the vehicle mass are important variables. The developed drill uses a thin wall drill bit and barrel and operates at high RPM to reduce the required down weight and drilling moments. The system also contains an emergency release to be used if the core barrel is stuck. The drill is hydraulically powered with cylinders operating the tower and a rotation unit. It can rapidly be modified to provide samples from softer samples like unconsolidated material. At the Arctic Mid Ocean Ridge, a work class ROV was deployed with the drill mounted for testing at 2700 m depth in basalt rock. The recovery from the system was above 80%. Such core samples can be used for chemical analyses of metal and mineral grades, mineralogy and rock mechanical testing. The system provides a probing tool for marine mineral exploration, with low cost, low operational complexity and low risk. Proper resource estimation requires drilling deep into the deposit, but the one meter deep core samples provided by the ROCS will provide valuable a priori information planning for more extensive drilling campaigns.


Rock Mechanics and Rock Engineering | 2009

Local and Spatial Joint Frequency Uncertainty and its Application to Rock Mass Characterisation

Steinar Ellefmo; Jo Eidsvik


Archive | 2012

NUMERICAL MODELLING OF ROCK MASS DEFORMATION IN SUBLEVEL CAVING MINING SYSTEM

Jan Blachowski; Steinar Ellefmo


Remote Sensing of Environment | 2018

First hyperspectral imaging survey of the deep seafloor: High-resolution mapping of manganese nodules

Ines Dumke; Stein M. Nornes; Autun Purser; Yann Marcon; Martin Ludvigsen; Steinar Ellefmo; Geir Johnsen; Fredrik Søreide


Minerals Engineering | 2017

Mineral characterization as a tool in the implementation of geometallurgy into industrial mineral mining

Aleksandra Maria Lang; Kurt Aasly; Steinar Ellefmo


Blue Mining Deliverable, D1.31 . Blue Mining, European Commission Seventh Framework Programme, 33 pp. | 2017

Report on visual data acquisition in the field and interpretation for SMS

Ines Dumke; Steinar Ellefmo


Ore Geology Reviews | 2018

Resource assessment of undiscovered seafloor massive sulfide deposits on an Arctic mid-ocean ridge: Application of grade and tonnage models

Cyril Juliani; Steinar Ellefmo


Ore Geology Reviews | 2018

Probabilistic estimates of permissive areas for undiscovered seafloor massive sulfide deposits on an Arctic Mid-Ocean Ridge

Cyril Juliani; Steinar Ellefmo


Minerals Engineering | 2018

Mineralogy and texture of the Storforshei iron formation, and their effect on grindability

Marte Kristine Tøgersen; Rolf Arne Kleiv; Steinar Ellefmo; Kurt Aasly

Collaboration


Dive into the Steinar Ellefmo's collaboration.

Top Co-Authors

Avatar

Martin Ludvigsen

Norwegian University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Fredrik Søreide

Norwegian University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Kurt Aasly

Norwegian University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Cyril Juliani

Norwegian University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Jo Eidsvik

Norwegian University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Geir Johnsen

Norwegian University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Aleksandra Maria Lang

Norwegian University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Stein M. Nornes

Norwegian University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Bjørn Eske Sørensen

Norwegian University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Erik Kristian Thon Frimanslund

Norwegian University of Science and Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge