Monitoring 2019Pub Date : 2019-11-12DOI: 10.3997/2214-4609.201903217
M. Myrontsov
{"title":"THE METHOD TO RESEARCH EQUIVALENT SOLUTIONS ZONES FOR INVERSE PROBLEM OF WELL LOGGING ELECTROMETRY","authors":"M. Myrontsov","doi":"10.3997/2214-4609.201903217","DOIUrl":"https://doi.org/10.3997/2214-4609.201903217","url":null,"abstract":"Summary The purpose of the research was to create a way to determine the areas of equivalent solutions for inverse problems of well logging electrometry. Method of parameters model relation with values for each sonde was proposed to use for equivalence zone creation. After results of proposed method use for models of typical reservoirs in Dnipro-Donetsk depression, it was concluded about high efficiency of the proposed method.","PeriodicalId":263790,"journal":{"name":"Monitoring 2019","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121527702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monitoring 2019Pub Date : 2019-11-12DOI: 10.3997/2214-4609.201903238
M. Reva, D. Chomko, F. Chomko
{"title":"THE METHODICAL APPROACH TO THE DETERMINATION OF GEOLOGICAL RESERVES CHEMICAL COMPONENTS IN THE PRODUCED WATER OF OIL AND GAS FIELDS","authors":"M. Reva, D. Chomko, F. Chomko","doi":"10.3997/2214-4609.201903238","DOIUrl":"https://doi.org/10.3997/2214-4609.201903238","url":null,"abstract":"Summary The produced water (PW) of oil and gas fields is a cost component of their development. The article determines that these waters contain a large number of dissolved chemical components. Components contained in PW have an industrial value. The authors point out that oil and gas companies can extract these waters from the cost component into the revenue component when extracting useful components from the PW. The authors state that geological and economic assessment is needed to use PW as a raw material. This paper proposes a methodological approach to the geological and economic assessment of chemical constituents in PW. The methodology is based on several basic criteria. The work identifies the volumes of extraction of PW, concentrations of chemical components, industrial concentrations, the term of development of the deposit are the main criteria for geological and economic assessment. The paper gives an example of determining the geological reserves of useful components at the Lelyakivskoye deposit. The authors classify these stocks according to the current regulatory documents. The result is that this technique allows these stocks to be converted from code 3.3.3 to code 1.1.2. The authors conclude that the code change should attract investors to the development of PW as a valuable resource.","PeriodicalId":263790,"journal":{"name":"Monitoring 2019","volume":"16 76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134250003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monitoring 2019Pub Date : 2019-11-12DOI: 10.3997/2214-4609.201903264
R. Okhrimchuk, I. Tishaiev, V. Zatserkovnyi
{"title":"THE DEEP LEARNING APPROACH FOR PAN SHARPENING ASTER SWIR DATA","authors":"R. Okhrimchuk, I. Tishaiev, V. Zatserkovnyi","doi":"10.3997/2214-4609.201903264","DOIUrl":"https://doi.org/10.3997/2214-4609.201903264","url":null,"abstract":"Summary Multispectral satellite images are effective for solving a wide range of problems in the various application areas. In particular, ASTER spectroradiometer images recorded in the Short Wave Infra-Red (SWIR) and Thermal Infrared Ranges (TIR) ranges can provide the lithological mapping and mineralogical composition of rocks. The scale of the resulting maps is based on the spatial resolution of the recorded digital images corresponding to the sensor. The ASTER spectroradiometer corresponds to the thematic maps with 1: 100000 - 1: 500000 scales. The goal is to increase the spatial resolution (upsampling) ASTER images in the SWIR and TIR bands with saving their spectral characteristics. The problem is the inability to use most known Pan-Sharpening methods because of ASTER images specification. The stack of imagery does not have the appropriate high spatial resolution panchromatic reference image Using any image (from visible or near-infrared (VNIR) spectral ranges) as a reference is not a good idea because they contain the data captured in the narrow spectral range (only in green, or red, or infrared). Therefore, the applying of standard approaches causing significant distortion of the spectral characteristics of SWIR images after the Pan-Sharpening procedure. In this paper, the main idea is using Convolutional Neural Networks (CNN) and Deep Learning techniques for superresolution resampling Aster multispectral imagery. Accuracy assessment of proposed model shows better RMSE metric values (up to 50%) in the spectral characteristics of transformed images, as compared with standard pan-sharpening technics.","PeriodicalId":263790,"journal":{"name":"Monitoring 2019","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114672575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monitoring 2019Pub Date : 2019-11-12DOI: 10.3997/2214-4609.201903250
O. Kruglov, O. Menshov
{"title":"MAPPING OF THE SOIL MAGNETIC SUSCEPTIBILITY FOR THE EROSION PROCESSES MODELING","authors":"O. Kruglov, O. Menshov","doi":"10.3997/2214-4609.201903250","DOIUrl":"https://doi.org/10.3997/2214-4609.201903250","url":null,"abstract":"Summary The crucial aim of the present study is to investigate the possibility of using soil magnetic susceptibility (MS) for the correction of the results of erosion modelling. The studies were performed on the example of the typical chernozems of Forest-Steppe of Ukraine. We used the magnetic techniques, agrochemical, statistical, and mathematical modelling of the erosion processes. The example of the chernozem soil studies illustrated the possibility of using soil magnetic susceptibility data for the improving and correction of the results of mathematical modelling of the erosion processes. According to the obtained data we recommended to include the magnetic susceptibility measurement to the algorithm of the calculation of the soil coefficients. The soil erosion models are related to the distribution of MS values.","PeriodicalId":263790,"journal":{"name":"Monitoring 2019","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128048431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monitoring 2019Pub Date : 2019-11-12DOI: 10.3997/2214-4609.201903171
L. Horoshkova, V. Volkov, I. Khlobystov
{"title":"PROGNOSTIC MODEL OF MINERAL RESOURCES DEVELOPMENT IN UKRAINE","authors":"L. Horoshkova, V. Volkov, I. Khlobystov","doi":"10.3997/2214-4609.201903171","DOIUrl":"https://doi.org/10.3997/2214-4609.201903171","url":null,"abstract":"Summary The work develops a systematic approach to the management of mining, using, export and import non-metallic minerals for construction considering the economic parameters of the development of the world market situation, the domestic market and the resource component of state security. It is proved that it is possible to solve the problem of lean use of minerals by more balanced extraction of minerals, namely, establishing a correlation between extraction and use volumes. To predict the development of the industry, it is suggested to use the author’s multifactorial economic and mathematical model for forecasting the development of complex systems. It is proved that such a model will allow controlling the volumes of mining of technologically related minerals in interdependence on the volumes of their use. An analysis of dynamics and geographic structure of export-import operations was also conducted with natural sand, pebbles, gravel and breakstone. The obtained results allowed us to conclude that the approach to formation of export minerals’ flows is not rational, because it poses a threat to the financial state of the mining industry and the country.","PeriodicalId":263790,"journal":{"name":"Monitoring 2019","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115031786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monitoring 2019Pub Date : 2019-11-12DOI: 10.3997/2214-4609.201903256
O. Tonkha, O. Pikovska, A. Balaev, G. Kovalyshyna, V. Zavgorodniy, V. Kovalenko
{"title":"MONITORING OF THE MICROBIOLOGICAL CONDITION OF VIRGIN CHERNOZEM UNDER DIFFERENT MANAGEMENT","authors":"O. Tonkha, O. Pikovska, A. Balaev, G. Kovalyshyna, V. Zavgorodniy, V. Kovalenko","doi":"10.3997/2214-4609.201903256","DOIUrl":"https://doi.org/10.3997/2214-4609.201903256","url":null,"abstract":"Summary The monitoring of soil conditions in the present conditions is becoming increasingly important because of the increasing of anthropogenic impact on the soil, including intensive agricultural use. We investigated the chernozems typical of the “Mikhailivska Tsilyna” reservation and the chernozems ordinary of the “Khomutovsky Steppe” reservation, as well as their plowed analogues, soils under forest strips, etc. For this purpose, methods of laboratory analyses of soil samples were used to determine microbiological parameters (according to D.G. Zvyagintsev). After the ratio between the number of microorganisms that use mineral forms of nitrogen to those decomposing organic forms of nitrogen the coefficient of mineralization - immobilization was calculated. According to the coefficient of immobilization-mineralization, it is established that agricultural use of chernozems leads to intensive transformation of organic matter. This is a prerequisite for reducing the intensity of use of chernozem soils reducing the depth of their cultivation.","PeriodicalId":263790,"journal":{"name":"Monitoring 2019","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123859012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monitoring 2019Pub Date : 2019-11-12DOI: 10.3997/2214-4609.201903241
S. Snizhko, O. Shevchenko, I. Didovets, O. Obodovskyi, O. Pochaievets
{"title":"CLIMATE MONITORING DATA APPLICATION IN THE TECHNOLOGICAL REGIONAL ASSESSMENT SCHEME AND SIMULATION OF WATER FLOW","authors":"S. Snizhko, O. Shevchenko, I. Didovets, O. Obodovskyi, O. Pochaievets","doi":"10.3997/2214-4609.201903241","DOIUrl":"https://doi.org/10.3997/2214-4609.201903241","url":null,"abstract":"Summary A climate change monitoring system integrates satellite observations, ground-based data and forecast models to monitor and forecast changes in the weather and climate. A historical record of spot measurements is built up over time, which provides the data to enable statistical analysis and the identification of mean values, trends and variations. The better the information available, the more the climate can be understood and the more accurately future conditions can be assessed, at the local, regional, national and global level. This has become particularly important in the context of climate change, as climate variability increases and historical patterns shift (Climate Change Monitoring System. Until now, there are no standard methodologies, no standard scheme to correct using climate monitoring data for effectiveness assessment regional climate change and its impact on water flow in Ukraine.","PeriodicalId":263790,"journal":{"name":"Monitoring 2019","volume":"19 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131869217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monitoring 2019Pub Date : 2019-11-12DOI: 10.3997/2214-4609.201903178
N. Marienkov, K. Babik, Y. Bolotov, V. Dunin
{"title":"MONITORING OF PILE FOUNDATION ENGINEERING IN DENSE URBAN DEVELOPMENT CONDITIONS ON LANDSLIDE HAZARDOUS SITE","authors":"N. Marienkov, K. Babik, Y. Bolotov, V. Dunin","doi":"10.3997/2214-4609.201903178","DOIUrl":"https://doi.org/10.3997/2214-4609.201903178","url":null,"abstract":"Summary An example of the application of modern regulatory requirements for the scientific and technical support of construction and monitoring of building structures for the safe arrangement of the pile foundation on a landslide hazardous building site in conditions of dense urban development in Kyiv during the installation of a O820 mm bored pile according to the plan of the pile field has been considered. Continuous monitoring of the pile installation process was conducted for more than 6 hours. Experimentally registered levels of vibration acceleration on the foundation wall of the building in the vertical and horizontal directions do not exceed 0,015 m/s2, which is significantly lower than the minimum permissible values of vibration acceleration for the foundations of buildings with brick bearing walls 0,15 m/s2. The research also evaluated the presence of visible damage to the building in the available places and their possible development before and after piles placement. The condition of the plaster screed on a vertical crack in the wall of the house on the 8th floor, which was installed before the start of construction work, after pile foundation installation has not changed - it remained undamaged.","PeriodicalId":263790,"journal":{"name":"Monitoring 2019","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128155302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monitoring 2019Pub Date : 2019-11-12DOI: 10.3997/2214-4609.201903218
I. Pap, I. Virshylo
{"title":"INTEGRATED MODELING OF PETROPHYSICAL PARAMETERS TO DETERMINE THE MINERALOGICAL COMPOSITION OF THE CRUST","authors":"I. Pap, I. Virshylo","doi":"10.3997/2214-4609.201903218","DOIUrl":"https://doi.org/10.3997/2214-4609.201903218","url":null,"abstract":"Summary This research is about constructing a new algorithm for spatial modeling of the solid composition of rocks and the main advantage over classical methods of inversion with optimization - to avoid the possibility of obtaining geologically meaningless solutions. The algorithm is consistent with the results of geophysical, petrophysical and geochemical studies. The basic geophysical methods used to solve a complex inverse problem are deep seismic sounding and gravimetry. The determination of probability distributions is carried out by statistical processing of the results of geological and geochemical studies for the material composition and the introduction of confidence intervals for the results of geophysical research.","PeriodicalId":263790,"journal":{"name":"Monitoring 2019","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128770840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monitoring 2019Pub Date : 2019-11-12DOI: 10.3997/2214-4609.201903205
V. Antoniuk, I. Bezrodna, O. Petrokushyn
{"title":"MULTIPLE REGRESSIONS AND ANN TECHNIQUES TO PREDICT PERMEABILITY FROM PORE STRUCTURE FOR TERRIGENOUS RESERVOIRS, WEST-SHEBELYNSKA AREA","authors":"V. Antoniuk, I. Bezrodna, O. Petrokushyn","doi":"10.3997/2214-4609.201903205","DOIUrl":"https://doi.org/10.3997/2214-4609.201903205","url":null,"abstract":"Summary In the processes of exploration, allocation of producing intervals, and development of hydrocarbon deposits, the important part is the accurate determination of the poro-perm properties. According to the complex of laboratory studies of the reservoir rocks from the West-Shebelynska area (depth interval 4929–5380 m), the authors predicted the permeability coefficient using the quantitative distribution of different types of voids in (the reservoirs of different types (intergranular, secondary, and fractured). With the help of Multiple Linear Regression (MLR), it was established that the filtration of fluid in the investigated complex reservoir rock samples occurs both in intergranular and secondary voids as well as in fractures. It is shown that Artificial Neural Network (ANN) and Multiple Nonlinear Regression (MNLR) algorithms can provide a stable model with a high degree of confidence that can be used to predict the permeability coefficient at the intervals studied.","PeriodicalId":263790,"journal":{"name":"Monitoring 2019","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126551077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}