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Adrian Barfod Email & Phone Number

PhD - Geophysicist with expertise in Data Science & Geostatistics at Geo
Location: Aarhus, Central Denmark Region, Denmark 8 work roles 3 schools
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Current company
Geo
Role
PhD - Geophysicist with expertise in Data Science & Geostatistics
Location
Aarhus, Central Denmark Region, Denmark
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Who is Adrian Barfod? Overview

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Adrian Barfod is listed as PhD - Geophysicist with expertise in Data Science & Geostatistics at Geo, a with 1208 employees, based in Aarhus, Central Denmark Region, Denmark. AeroLeads shows a matched LinkedIn profile for Adrian Barfod.

Adrian Barfod previously worked as Geodata Specialist at Geo and Data Science Engineer at Niras. Adrian Barfod holds Doctor Of Philosophy - Phd, Geofysik & Geostatistik from Aarhus Universitet.

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Geo

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Profile bio

About Adrian Barfod

I'm a hydrogeophysicist PhD with expertise in data science and geostatistics. I have focused on automation, analysis, and data wrangling of extensive 3D datasets. I'm interested in everything related to: - data science / machine learning - software development / coding - groundwater - green energy - technology I'm currently working at Geo, as a Geodata Specialist. Here, I work with software development, geostatistics, geotechnics and data wrangling.

Listed skills include Data Analysis, Gis Systems, Geostatistics, Geophysics, and 9 others.

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Geo
Geo
PhD - Geophysicist with expertise in Data Science & Geostatistics
copenhagen, capital region, denmark
Website
Employees
1208
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8 roles

Adrian Barfod work experience

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Geodata Specialist

Current
Geo

Århus, Midtjylland, Danmark

Feb 2024 - Present

Data Science Engineer

Aarhus, Middle Jutland, Denmark

Oct 2021 - Feb 2024

Postdoc

Department Of Electrical And Computer Engineering, Aarhus University

Aarhus, Denmark

I'm working with Data Science & Machine Learning for automating geophysical data flows as part of the GiRem project. In particular we will be using Machine Learning for processing cross-borehole DCIP data, in collaboration with Ejlskov A/S

May 2019 - Oct 2021

Software Engineer

Hydrogeophysics Group, Department Of Geoscience, Aarhus University

Aarhus C, Region Midtjylland, Danmark

At HGG I worked with maintaning and developing instrument software using the Delphi programming language. Generally, I worked with geophysical instruments, especially with instrument communication, and back-end & front-end development of instrument API's.

Apr 2018 - Apr 2019

Ph.D. Student

Geus, C.F. Møllers Allé 8, Bygn. 1110, 8000 Aarhus C

The overall research goal was to study the statistical relationship between geophysical data and geological data, and to use geostatistical tools for 3D geological voxel modeling.My research of the statistical relationships between geophysical data and borehole lithology logs has led me to Multiple-point statistics (MPS). MPS is a set of tools used in the petroleum industry to create geologically realistic reservoir models, while constraining geologic and geophysical datasets. Such… Show more The overall research goal was to study the statistical relationship between geophysical data and geological data, and to use geostatistical tools for 3D geological voxel modeling.My research of the statistical relationships between geophysical data and borehole lithology logs has led me to Multiple-point statistics (MPS). MPS is a set of tools used in the petroleum industry to create geologically realistic reservoir models, while constraining geologic and geophysical datasets. Such methods are also applicable in the field of groundwater modelling. MPS tools expands the toolbox of groundwater geoscientists and assists in the assessment of the structural uncertainty related with groundwater modelling. In the MPS framework multiple geologically realistic models of the subsurface are created, with variability in areas where no constraining data is present, e.g. geophysical data. These variable simulations can then be used for groundwater modelling and management.My research is part of the HyGEM project: http://hgg.au.dk/projects/hygem/project-description/ Show less

Aug 2013 - Nov 2017

Student Assistant

My main task was to upload seismic data to GERDA (Danish National Geophysics database) from before the official requirements specification was released in 2009.

Aug 2012 - Aug 2013

Visiting Student Researcher

Palo Alto, California

As part of my PhD I visited Stanford University to work with Professor Jef Caers at the "Stanford Center for Reservoir Forecasting" (SCRF). The goal was to obtain further knowledge on Stochastic modelling and Multiple-point statistics (MPS). During my visit I worked with three MPS methods: snesim, direct sampling, and image quilting.

Feb 2016 - Jul 2016

Student Assistant

Student assistant on land seismik surveys and borehole monitoring projects.

Jun 2009 - Aug 2013
Team & coworkers

Colleagues at Geo

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3 education records

Adrian Barfod education

FAQ

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What company does Adrian Barfod work for?

Adrian Barfod works for Geo.

What is Adrian Barfod's role at Geo?

Adrian Barfod is listed as PhD - Geophysicist with expertise in Data Science & Geostatistics at Geo.

Where is Adrian Barfod based?

Adrian Barfod is based in Aarhus, Central Denmark Region, Denmark while working with Geo.

What companies has Adrian Barfod worked for?

Adrian Barfod has worked for Geo, Niras, Department Of Electrical And Computer Engineering, Aarhus University, Hydrogeophysics Group, Department Of Geoscience, Aarhus University, and Geus.

Who are Adrian Barfod's colleagues at Geo?

Adrian Barfod's colleagues at Geo include Kerridwen Jorddyn, Aamir Hasan, Arslan Hussain, Guh Buh, and Chahy Mahmoudi.

How can I contact Adrian Barfod?

You can use AeroLeads to view verified contact signals for Adrian Barfod at Geo, including work email, phone, and LinkedIn data when available.

What schools did Adrian Barfod attend?

Adrian Barfod holds Doctor Of Philosophy - Phd, Geofysik & Geostatistik from Aarhus Universitet.

What skills is Adrian Barfod known for?

Adrian Barfod is listed with skills including Data Analysis, Gis Systems, Geostatistics, Geophysics, Matlab, Science, Research, and Statistics.

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