Work Plan

Work Plan

WP1: Regional assessment and geothermal pilot study


– To build the project’s database using the existing information about the geology of the study area and the geochemical, hydrogeological and geophysical data;

– To select the pilot site for future geothermal investigation after the joint interpretation of geo-data.

 Description of work and role of participants:

The University of Bucharest (CO) is responsible for the building of the project’s database. Information about the geological structure, geological sections and geological models in the Baia Mare area will be taken from publications and from scientific reports saved in the archive from the National Agency for Mineral Resources (NAMR). Information about results of any previous geochemical, hydrogeological and geophysical studies performed in the Baia Mare area will be taken from publications and from the archive of NAMR. Surface geological mapping will be performed by researchers from CO.

The University of Oslo (P1) will collaborate with CO in the selection of a pilot site for future detailed geothermal investigations after the joint interpretation of the existing geo-data.

CO and P1 will define the optimal orientations of the lines along which new geophysical measurements will be performed. The points for geochemical sampling will be chosen.

AGU 2020 BaiaMare

WP2: Acquisition of new geo-data


-To record new geo-data using active and passive seismic, magnetic and magnetotelluric measurements, water and soil sampling, geological and hydrogeological mapping.

Description of work and role of participants:

The University of Bucharest (CO) will perform the following specific activities in the project:

1) Recording of high-resolution wide-angle active seismic reflection data along a line which will cross the pilot site; the location of this line is chosen in WP1. PROSPECTIUNI S.A. will be subcontracted in order to perform the generation and recording of the seismic data. The data acquisition parameters will be chosen using information from WP1. CO will use seismic modelling to verify the efficiency of the designed seismic data acquisition parameters. The seismic measurements will be performed with the help of the undergraduate and graduate students from CO.

2) Ambient-noise seismic measurements will be performed using wireless receivers along lines defined in WP1, which include the line used for active seismic reflection measurements. The receiver spacing will be the same in both, active and passive seismic measurements.   

3) CO will perform magnetic measurements over the study area using a regular grid and along the lines used for active and passive seismic data acquisition.

4) CO will perform geochemical sampling (water and soil), geological and hydrogeological mapping, hydrogeothermal exploration in order to identify the location of recharge areas and direction of subsurface fluid flows, to evaluate mixing and boiling processes in upflow areas, assessment of water and steam quality, to analyse water and soil samples collected in points from the pilot site.

The University of Oslo (P1) will design and collect new magnetotelluric data in the pilot area. PROSPECTIUNI S.A. will be subcontracted in order to record the magnetotelluric data. Undergraduate and graduate students from CO will be involved in the field activities.

EGU 2021

Munteanu et al_red


WP3: 3D Lithospheric model


To build 3D lithospheric, hydrogeological and geothermal reservoir models using existing and new acquired geo-data.

Description of work and role of participants:

The University of Oslo (P1) will process the magnetotelluric data and will construct resistivity profiles.

The University of Bucharest (CO) will process the existing and new acquired active seismic reflection data sets with the purpose to obtain 2D P-wave velocity-depth distributions, time and depth-converted seismic sections. Processing of ambient-noise data using Seismic Interferometry by crosscorrelation will be performed for the retrieval of true-amplitude body-wave reflections and surface waves. Then, the retrieved reflected waves will be processed to obtain information about the P-wave velocity-depth distributions and to obtain time and depth-converted seismic sections., A 3D P-wave velocity-depth model will be built using information provided by the seismic data and, if available, borehole data. This model will give the crustal and, possible, upper mantle structure of our study region. 2D and 3D S-wave velocity-depth distributions will be obtained after the processing of the retrieved surface waves. 3D Poisson’s coefficient distributions will be obtained using the P- and S-wave velocity values. If available from borehole data, density values will be used to compute the Young’s modulus and lambda values.

CO will process the magnetic data, and resulting profiles will be integrated with regional magnetic anomaly data. CO will perform geochemical analyses of water and soil samples.

P1 and CO will collaborate for building 3D lithospheric, hydrogeological and geothermal models by using the databases and compilations made in WP1. The 3D lithospheric model will be updated by incorporating the results of the newly collected geo-data analysis. Information about the fluid content and its parameters will be obtained from the geochemical data. Information about the temperature distribution into the subsurface will be added to the final model.






WP4: Evaluation and test of the geothermal potential


To estimate the geothermal potential of the region based on new 3D lithospheric model

 Description of work and role of participants:

The University of Bucharest (P1) and the University of Oslo (CO) will analyse and interpret the results of WP3 in order to identify the subsurface depth-intervals with a high potential for geothermal exploitation. The volume of the geothermal reservoir will be estimated using information provided by seismic, magnetotelluric, geochemical, temperature and hydrogeological data. The geothermal potential will be modelled by taking into account the modelled lithological types, rock properties (from WP2 and WP3), and measured surface temperature values.

Promising geothermal structures and surface locations will be proposed for drilling and therefore possible exploitation.