Earth sciences and subsoil use最新文献

{"title":"The role and significance of geological heterogeneity in the formation of limestone productivity in the Famennian stage of the South Tatar arch","authors":"L. S. Kuleshova","doi":"10.21285/2686-9993-2024-47-2-220-226","DOIUrl":"https://doi.org/10.21285/2686-9993-2024-47-2-220-226","url":null,"abstract":"","PeriodicalId":128080,"journal":{"name":"Earth sciences and subsoil use","volume":"53 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141818167","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}

{"title":"Petroelastic modeling of Vereiskian and Bashkirian deposits on example of an oil field in the Republic of Tatarstan","authors":"E. A. Yachmeneva, E. M. Battalova","doi":"10.21285/2686-9993-2024-47-2-227-235","DOIUrl":"https://doi.org/10.21285/2686-9993-2024-47-2-227-235","url":null,"abstract":"","PeriodicalId":128080,"journal":{"name":"Earth sciences and subsoil use","volume":"01 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141818322","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}

{"title":"Influence of heterogeneity indicators on productivity index prediction efficiency (on example of carbonate reservoir deposits in the Ural-Volga region)","authors":"R. A. Gilyazetdinov, L. S. Kuleshova","doi":"10.21285/2686-9993-2024-47-2-170-179","DOIUrl":"https://doi.org/10.21285/2686-9993-2024-47-2-170-179","url":null,"abstract":"","PeriodicalId":128080,"journal":{"name":"Earth sciences and subsoil use","volume":"61 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819207","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}

{"title":"Petrophysical taxa of diamond deposit of Komsomolskaya kimberlite pipe (Yakutsk diamondiferous province)","authors":"K. M. Konstantinov, D. Kuzina, M. S. Khoroshikh","doi":"10.21285/2686-9993-2024-47-2-190-219","DOIUrl":"https://doi.org/10.21285/2686-9993-2024-47-2-190-219","url":null,"abstract":"","PeriodicalId":128080,"journal":{"name":"Earth sciences and subsoil use","volume":"122 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819798","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}

{"title":"Using photogrammetry to determine quarry slope stability coefficient","authors":"D. A. Kirikov, A. M. Kalugina, A. P. Zhgilev, E. N. Belyaev, V. P. Stupin","doi":"10.21285/2686-9993-2024-47-2-180-189","DOIUrl":"https://doi.org/10.21285/2686-9993-2024-47-2-180-189","url":null,"abstract":"","PeriodicalId":128080,"journal":{"name":"Earth sciences and subsoil use","volume":"118 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820011","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}

{"title":"To necessity of gas migration control under well cementing","authors":"E. V. Averkina, A. V. Korotkov, L. S. Alaberdin","doi":"10.21285/2686-9993-2024-47-2-149-157","DOIUrl":"https://doi.org/10.21285/2686-9993-2024-47-2-149-157","url":null,"abstract":"","PeriodicalId":128080,"journal":{"name":"Earth sciences and subsoil use","volume":" November","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141824073","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}

{"title":"Using data storage and management systems to optimize geological prospecting works","authors":"S. A. Baranova, A. V. Blinov, S. Prosekin","doi":"10.21285/2686-9993-2024-47-2-140-148","DOIUrl":"https://doi.org/10.21285/2686-9993-2024-47-2-140-148","url":null,"abstract":"","PeriodicalId":128080,"journal":{"name":"Earth sciences and subsoil use","volume":" 55","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141826752","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}

{"title":"Spatial and temporal variability analysis of snow cover parameters according to the urbanized area profile system","authors":"A. V. Lanko, G. I. Sarapulova","doi":"10.21285/2686-9993-2023-46-4-423-431","DOIUrl":"https://doi.org/10.21285/2686-9993-2023-46-4-423-431","url":null,"abstract":"The purpose of the study is to analyze the spatial and temporal variability of snow cover parameters in the urbanized area of the city of Irkutsk and its adjacent areas according to the system of profiles reflecting the features of the area microrelief. Field surveys were conducted in accordance with standard recommendations for snow and geochemical surveys. Snow sampling was carried out at the entire snow depth, with the exception of the snow depth of 0.5-1 cm. Sampling points located at least 25 meters away from the roads. Snow sampling in the residential areas of the city was carried out in the places with undisturbed snow cover and free from extraneous snow banks and landfills. Global Mapper, Golden Software Surfer, Statistica software were used to carry out statistical analysis, build the models of profile sections and obtain the diagrams of snow cover parameter distribution. A 3D relief model was obtained on the basis of radar topographic survey data, which revealed a multiple formation relief of the studied area featuring mountains, high plains with undulating flat gently sloping watersheds, valleys, hollows and depressions. The height difference is up to 230 m. The diagrams of snow depth distribution built with regard to the profiles made it possible to identify the territories with the deepest snow cover. A geochemical analysis of the melt water filtrate was carried out over a three-year period. In 2021 a high correlation with electrical conductivity was found for the contents of tungsten, sodium, bromine, calcium, molybdenum, sulfur, barium, magnesium, antimony, tantalum, cesium, titanium, chromium, and silicon. The average correlation level with electrical conductivity was recorded for arsenic, copper, and lead. The analysis data obtained indicate a different contamination level of the area as a result of atmospheric precipitation in those years due to the activity of industrial facilities. The distribution patterns of the pH snow index have been revealed. It is shown that zones with pH<6 are mostly confined to the Irkutsk aluminum smelter. The zones with pH >6 are caused by the influence of the power plants using hydrocarbon fuels: gasoline, kerosene, fuel oil, diesel fuel, coal. The snow cover was subjected to field and laboratory studies using GIS technologies and physico-chemical methods. The distribution and migration of pollutants in various spatial and temporal aspects have been revealed taking into account the terrain relief. The conducted study opens up opportunities for modeling the landscape structure, taking into account meteorological parameters, phenological processes and snow cover state for the purposes of the national economy and the location of construction of various facilities.","PeriodicalId":128080,"journal":{"name":"Earth sciences and subsoil use","volume":" 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139616612","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}

{"title":"Refining solutions of development problems of the Volga-Ural oil and gas province fields using geological and statistical model ranking methods","authors":"R. Gilyazetdinov, L. Kuleshova, V. Mukhametshin, R. Yakupov, V. A. Grishchenko","doi":"10.21285/2686-9993-2023-46-4-402-412","DOIUrl":"https://doi.org/10.21285/2686-9993-2023-46-4-402-412","url":null,"abstract":"The purpose of the present research is to provide a comprehensive analysis of data on the geological and physical properties of formations and the fluids saturating them in the Volga-Ural oil and gas province using the methods of geological and statistical model ranking. The discriminant analysis conducted on the basis of qualitative criteria (reservoir type and stratigraphic confinement) identified in all cases the zones of uncertainty, which affect the effectiveness of managerial decision-making in the conditions of analog objects. On this score, the results for six models were refined and updated according to the principle of rank uniqueness value calculation by three methods, both for each model individually and for model systems while using them within the obtained distributions of objects in the axes of canonical discriminant functions. Theoretical and practical recommendations were given regarding the use of geological and statistical models in the development of Volga-Ural oil and gas province fields. The results obtained can be used to solve a wide range of practical problems of proactive resource management, which enable effective determination of the best strategy for the successful extraction of residual and hard-to-recover oil reserves. The proposed parameter ranking table allows both to determine the most unstable parameters with a high degree of probability and to level the factor of heterogeneity and disequilibrium of field data. The conducted study established that identification of object association with a particular group in the axes of canonical discriminant functions leads to the formation of the zone of uncertainty. The latter increases the risks of making ineffective managerial decisions when developing different categories of subsoil users’ assets. Using the methods of ranking geological and statistical models, an algorithm for constructing a hierarchical system is proposed, which allows to expand the application field of the results of geological and statistical modeling in the oil and gas industry as well as to reduce the risk of nonrepresentative results.","PeriodicalId":128080,"journal":{"name":"Earth sciences and subsoil use","volume":" 638","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139617644","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}

{"title":"Unmanned aerial vehicle aeromagnetic survey results on Romashkinskoye hydrocarbon field","authors":"B. M. Nasyrtdinov, A. V. Starovoytov, M. M. Khamiev","doi":"10.21285/2686-9993-2023-46-4-364-373","DOIUrl":"https://doi.org/10.21285/2686-9993-2023-46-4-364-373","url":null,"abstract":"The purpose of the study is to survey the magnetic field induction on the Romashkinskoye oil field (Republic of Tatarstan, Russia) using an unmanned aerial vehicle over the profile of 68 km 320 m. A DJI Matric 600Pro electric hexacopter was used as an unmanned aerial vehicle. The survey scheme was as follows: the mission route consisted of three parallel flights (main profiles) and one crossing flight (transverse profile). The distance between adjacent parallel flights was 100 m. The intersecting profile was necessary to connect the main profiles. The flight assignments of each field day were built to overlap the profiles by at least 100 m by the nearby flights and make the flight trajectory coincide with the one of the previous flight. To optimize the process one takeoff / landing point was selected for two nearby flights. During one 20-25 min survey the maximum profile covered by the unmanned aerial vehicle was 1.25 km. The maximum flight distance (from the takeoff moment to the landing) did not exceed 6–6.5 linear kilometers. The methodology considered in the article made it possible to cover 45 linear kilometers over a long span even in adverse weather conditions (rain and wind gusts of 8–12 m/s). The resulting root mean square error for this survey was ±4.7 nT. The survey conducted allowed to obtain 3 profiles with the magnetic field induction magnitude over an extended section. A good correlation was registered between the aeromagnetic survey and the data on the block structure of the basement (according to geomorphological analysis data) with the local component of the crystalline basement. Altunino-Shunak fault has clearly manifested itself in the magnetic field as a positive anomaly with an amplitude of ≈60 nT.","PeriodicalId":128080,"journal":{"name":"Earth sciences and subsoil use","volume":"111 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139616412","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}