<abstract xmlns="http://www.w3.org/1999/xhtml">In this article, the possibilities of use of geothermal energy in relation to the geothermal gradient and aquifer yield are described. Calculations represent information on potential geothermal water reserves that are not affected by cold return water inflow from the reinjection well after a certain period of production time. The calculations apply for continuous production of geothermal water from the aquifer without significant pumping breaks.</abstract>

Thermal conductivity of rocks and geothermal water

<abstract xmlns="http://www.w3.org/1999/xhtml">Stochastic, especially simulation, occasionally could be found in different geological calculations, mostly as the most advanced mapping method. Its main attribute is description of uncertainties that are inherent not only to any geological mapping dataset but also to any volumetric or probability calculation. Here are presented uncertainties in all three cases – mapping, volume calculation and probability calculation – and reasons why and when to use stochastic in them. The stochastic, and consequently simulation, is a recommended tool in case of a low number of data (&lt;15 inputs) or large dataset (>40 inputs), but in both cases, the descriptive statistics needs to be known and is reliable. Almost the same could be applied in volumetric calculation, but the success of stochastic in probability calculation depends on large datasets, with 15 or more inputs.</abstract>

Stochastic – advantages and uncertainties for subsurface geological mapping and volumetric or probability calculation

<abstract xmlns="http://www.w3.org/1999/xhtml">A geostatistical approach was used to model porosity of OBA field in onshore area of Niger Delta using simulation technique. The objective is to understand the spatial distribution of porosity and characterize the degree of heterogeneity of underlying formation. Porosity data from twenty-two wells were loaded into <italic>SGeMS</italic> software. Univariate statistical analysis, experimental semivariogram and Sequential Gaussian Simulation (SGS) were applied on the data. The data was close to normal approximation of Gaussian based of the results of univariate statistics. However, to construct and model horizontal and vertical semivariograms, the data was log-normalized to reduce the coefficient of variation and to get good fit of the model. Parametric semivariogram model shows the range of 72–6480 m, nugget effect of 0.006 and sills of 0.0095, 0.0099 and 0.0111. Six realizations were generated using SGS algorithm and the results suggest that any one of the realizations can independently represents the true picture of the subsurface geology within the study area. Ranking of realizations shows realization 6 as the best and realization 2 as the lowest. This model could be used as an initial condition for simulation of flow.</abstract>

Geostatistical modeling of porosity data in ‘oba’ field, onshore Niger Delta

<abstract xmlns="http://www.w3.org/1999/xhtml">The analytic element method (AEM) has been successfully used in practice worldwide for many years. This method provides the possibility of fast preliminary quantitative analysis of the hydrogeological systems or boundary conditions of the numerical models, as it is shown in the case study of groundwater source of the city of Vrbas. The AEM is also applicable for the initial analysis of a hydrogeological system, which is of particular importance in case of excess pollution that cannot be predicted where it could happen. One example of the application of the AEM is presented in this article. The analytical model is calibrated based on the measured data from several drilled monitoring wells, and this was the base for the numerical model of the contaminant transport. In this case, the AEM enabled the quick access to information on the hydrogeological system and effective response to excess pollution.</abstract>

Center for applied scientifical research in water supply and remediation

Faculty of Natural Sciences and Engineering

Application of analytic element method in hydrogeology

<abstract xmlns="http://www.w3.org/1999/xhtml">Vertical electrical sounding, well inventory and physicochemical analysis were conducted to evaluate soil corrosivity and aquifer protective capacity of overburden units in the basement complex terrain of Ado-Ekiti, southwestern Nigeria. The topsoil is composed of slightly corrosive materials at the eastern, southern and northeastern flanks and the central portion with resistivity values ranging from 60 to 180 <bold>Ω</bold>m. Moderately corrosive/slightly corrosive materials (with resistivity values of 10 &lt; <italic>ρ</italic> &lt; 60 <bold>Ω</bold>m) constitute the second layer around the eastern, southern and north-eastern flanks. Pockets of areas in the northwestern, southeastern, eastern and central parts of the metropolis are practically non-corrosive with resistivity values in excess of 200 <bold>Ω</bold>m. Zones of good, moderate, weak and poor overburden protective capacity were delineated, with longitudinal conductance (<italic>S</italic>) values of 0.7 &lt; <italic>S</italic> &lt; 4.9, 0.2 &lt; <italic>S</italic> &lt; 0.69, 0.1 &lt; <italic>S</italic> &lt; 0.19 and <italic>S</italic> &lt; 0.1 mhos, respectively. On a regional consideration, 23.31%, 18.80% and 57.9% of the study area is characterised by overburden materials of poor, weak and moderate protective capacity, respectively. Only 6.02% of the area indicates good overburden protective capacity.</abstract>

Soil corrosivity and aquifer protective capacity of overburden units in Ado-Ekiti, southwestern Nigeria

AHEAD OF PRINT

Volume 69 (2022): Issue 2 (December 2022)

Volume 69 (2022): Issue 1 (June 2022)

Volume 68 (2021): Issue 2 (December 2021)

Volume 68 (2021): Issue 1 (March 2021)

Volume 67 (2020): Issue 4 (December 2020)

Volume 67 (2020): Issue 3 (September 2020)

Volume 67 (2020): Issue 2 (June 2020)

Volume 67 (2020): Issue 1 (March 2020)

Volume 66 (2019): Issue 4 (December 2019)

Volume 66 (2019): Issue 3 (December 2019)

Volume 66 (2019): Issue 2 (June 2019)

Volume 66 (2019): Issue 1 (March 2019)

Volume 65 (2018): Issue 4 (December 2018)

Volume 65 (2018): Issue 3 (September 2018)

Volume 65 (2018): Issue 2 (September 2018)

Volume 65 (2018): Issue 1 (March 2018)

Volume 64 (2017): Issue 4 (December 2017)

Volume 64 (2017): Issue 3 (September 2017)

Volume 64 (2017): Issue 2 (July 2017)

Volume 64 (2017): Issue 1 (March 2017)

Volume 63 (2016): Issue 4 (December 2016)

Volume 63 (2016): Issue 3 (September 2016)

Volume 63 (2016): Issue 2 (July 2016)

Volume 63 (2016): Issue 1 (June 2016)

Materials and Geoenvironment

 Description:  Old title: Rudarsko-metalurški zbornik (Mining and Metallurgy Quaterly).  Is issued quarterly by the Faculty of Natural Sciences and Engineering, Ljubljana, Velenje Coal Mine, Velenje, Institute for Mining, Geotechnology and Environment (IRGO), Ljubljana and Slovenian Chamber of Engineers, Ljubljana.  Financially supported also by Ministry of Higher Education, Science and Technology Republic of Slovenia.  Issues up to the volume 62 you can find on our old web page at address: www.rmz-mg.com/contents.htm  The journal does not have article processing charges (APCs) nor article submission charges.  Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 