Naftogaz (Ukraine)

Limitations of the seismic method in mapping salt diapirs increase exploration risks while drilling in near-salt areas. An innovative method of 3D joint inverse problem solution for gravity, well-log, and seismic data makes it possible to verify and refine the shape of a salt dome and map hydrocarbon accumulations right beside the salt wall under the salt wing and over the salt dome. It is illustrated by the results for four salt domes in the central axial part of the Dniper-Donets Basin. In half of the cases, joint gravity inversion proved that seismic data provided a reliable salt shape that may be used as the biggest outline. In the other half of the cases, the salt stem outlined by 3D gravity inversion significantly differed from that by 2D and 3D seismic data interpretation. In one case, gravity inversion showed that the size of the salt stem was three times smaller. For all the cases under the salt wing in proximity to the salt dome, near the salt wall, and over the salt dome, localized low-density rock areas were mapped. These areas were associated with commercial hydrocarbon pools. For one, the salt dome location of the commercial pools was verified by drilling. As a result, a new oil field was discovered and named after Academician Schpak. Also, over the same salt dome, the size of the Runovshina field shallow gas pool outline was six times expanded. Four wells drilling outcomes ― three commercial and one dry ― fully confirm the correctness of the shape of the mapped commercial pool with a 100 % commercial probability of success.

Background. The production of hydrocarbons (HC) in open fields is decreasing, and the fields that were discovered in recent years, as a rule, are small in terms of reserves and can no longer provide a resource base for its expansion. An analysis of the experience of leading oil and gas companies shows that a significant expansion of the resource base and the discovery of significant reserves of hydrocarbon deposits can be obtained through the use of modern exploration technologies, which actively use in their arsenal the modeling of hydrocarbon systems in the studied territories. Carboniferous and Upper Devonian deposits remain the most promising stratigraphic complexes for the search for new deposits of explosives within the Eastern region of Ukraine. Methods. Mathematical statistics methods were used to create model constructions that allowed meaningful analysis of the original geological and geochemical information. The initial data were the results of laboratory studies by the pyrolysis method (Rock-Eval) of rock samples from search and exploration wells of the southern and northern sides of the Dnipro-Donets basin (DDB). In terms of lithology, the core samples were argillites (shales) – the vast majority, siltstones, sandstones, and limestones. Results. An important result of this study is that the feature of the spatial distribution of the main parameters of kerogen organic matter has been established, depending on the depth of the Devonian oil and gas source rocks, their age, as well as the location of the wells from which the core was taken, on the Northern or Southern sides of the DDB. Using the methods of mathematical statistics on the basis of cluster analysis, the classification of rock samples with a clay composition relative to the prevailing type of organic matter was performed based on the data of laboratory studies on the Rock-Eval apparatus. Conclusions. Quite high concentrations of organic matter in a significant number of studied samples (mainly in shales and limestones) were found at different depths, which are primarily corrected by the age of the Upper Devonian deposits. The regularities of changes in Tmax – the temperature of the maximum yield of hydrocarbons during kerogen cracking, depending on the depth of the location of rocks, which are distinct on the Southern and Northern sides of the DDB, have been established. This indicates different paleotectonic activity of the specified structural-tectonic elements in the post-Devonian period. On the South side, clay formations with a high kerogen content and high Tmax values are hypsometrically higher than on the Northern side of the Dnipro-Donets depression.

Background. The growth of hydrocarbon reserves in the old oil and gas producing regions can be realized to a large extent due to the reinterpretation of geological and geophysical data on the old fund of wells (both within existing deposits and on areas that, under certain circumstances, were at one time assessed as unpromising). At this stage of geological exploration work, considerable work is being done to reinterprete the data of geophysical studies in the missed intervals of wells of the old fund, including exploratory wells. Similar works are carried out on deep horizons (Devonian), as well as on Mesozoic deposits, which in the last century were not of primary importance in terms of prospects in many areas. The available geological and geophysical material indicates significant difficulties in the correct identification of layers within the specified strata. Methods. The results of geophysical, petrographic and petrophysical studies on the deposits are analyzed. The methods of statistical analysis were applied in order to establish the possibility of using pattern recognition methods for lithological-facies dissection of well sections based on well-logging data. Results. Thanks to the use of neural network technology, the reliability of the traditional geological interpretation of the welllogging data was verified. The reliability of establishing the lithological-facies affiliation of individual layers in Upper Devonian, Lower, and Middle Carboniferous well sections has been increased by using an ensemble of calculated neural networks. An original approach to the implementation of neural network technology in the interpretation of geological and geophysical data is proposed. Сonclusions. The article examines the geophysical characteristics of potentially promising horizons that were previously overlooked. The problems to be solved are indicated, as well as ways to increase the reliability of the geological interpretation of welllogging data in layers of different ages. In particular, the possibility and expediency of using machine learning based on neural network technologies is considered.

The purpose of the article is to build a model of the formation of one's own brand, which is based on a wide range of principles of system analysis, and allows to predict the effectiveness of the decisions made. The article proves that for the effective formation and promotion of a personal brand, one should understand the purpose and functions of its formation, take into account all the conditions that can affect it, and master the tools and methods of brand management. The work proposes the formation of an algorithm for creating one's own brand under the influence of all possible factors and conditions. It is noted that the conditions for the formation of a personal brand are formed based on five levels of perception of the personality by the surrounding people: emotional, personal, behavioral, level of uniqueness and personal identification. It has been studied that the main goal of forming a personal brand can be called the creation and strengthening of an image, as well as increasing recognition to raise popularity among the audience. In order to achieve all the goals and tasks set, the tools of forming a personal brand are grouped in the work. In addition, the article discusses special paid and free services, as well as auxiliary tools for successful brand promotion in social networks. It was determined that the success of forming a personal brand depends on the effectiveness of the chosen methods of brand management and the developed algorithm for forming a personal brand. In general, it is proposed to distinguish three stages in the brand formation algorithm: choosing a niche and target audience, analyzing competitors and creating a brand promotion strategy. The article states that the task of evaluating or forecasting brand efficiency can be accomplished using four approaches, the most qualitative of which is the use of econometric modeling. A linear regression model was chosen for adequate processing of the entire set of indicators involved at this stage of the research, and the R-Studio software was used for its construction, which is a universal means of automating many marketing tasks. At the last stage of the work, target indicators were predicted depending on influencing factors. The performed econometric analysis proved the feasibility of using the developed model for more effective management of a personal Instagram page. The developed model made it possible to predict the most successful day and time of publication of the corresponding type of content.

The article considers the issues of forecasting the strength of underground pipelines, which are operated on seismically active sections of the route, composed of relatively rigid mobile blocks. According to the literature, the problems of the influence of the interaction of base faults on the stress state of the pipeline have not been studied to date. The aim of the work is to develop a model for the analysis of abnormal stresses in the underground pipeline on a damaged basis caused by static or time-harmonious mutual movement of its blocks along the axis of the pipe in the presence of several faults. Boundary value problems for differential equations of static tensile-compression and steady-state longitudinal oscillations of a tubular rod with discontinuous right-hand sides are formulated. Based on the analytical solutions of these problems for the cases of antisymmetric and symmetric displacement of the foundation blocks, the distributions of axial displacement and equivalent stress in the pipe, depending on the distance between faults and the frequency of forced oscillations, are investigated.

SUMMARY Rudov Beds is an organic rich formation within the Upper Visean (Lower Carboniferous) sedimentary complex located in the Dnieper-Donetsk basin (DDB). Its stratigraphic relation is still debatable. Rudov Beds are related to the tops of XIII Microfaunistic horizon, or related to basal part of XIIa Microfaunistic horizon. Rudov Beds are associated with play known as so-called “productive horizon V-23”. In the central part of the DDB Rudov Beds are overlying the Lower Visean carbonate formation, which was formed under the conditions of the carbonate platform. The uniqueness of regionally distributed Rudov Beds is associated with their unusual siliceous-carbonate and siliceous-shale composition, the presence of biogenic silicites; high organic matter content of mixed composition and high gamma activity. Vertically and laterally distribution of total organic carbon content (TOC) were determined according to the results of well logging data interpretation within the area Yablunivske oil and gas field. The features of the natural radioactivity of the Rudov Beds were investigated; its variability and its relation to the TOC content were analyzed. A regular trend was been identified of increasing the TOC content at 2x times towards the western part of the Yablunivske field area, which can indicate both the formation of sediments in isolated shallow sea conditions and the erosion of their upper part as a result of a break in sedimentation process. The statistical analysis shows that the anomalous values of gamma ray (GR) in the lower part of the Rudov Beds have a specific genesis, which is not correlates with the organic matter content. Keywords: Rudov Beds; TOC, gamma ray, Yablunivske oil and gas field, lateral variability.

Summary Geoportal was created on the basis of the Geological and Geophysical Information Database (GGID) of National Joint Stock Company “Naftogaz of Ukraine” (NJSC “Naftogaz of Ukraine”). Geoportal provides users with the ability to view in mapping and tabular modes the information accumulated in the GGID of NJSC “Naftogaz of Ukraine” across Eastern, Western and Southern oil and gas regions of Ukraine. Modern software products and technologies and many years of experience of Subsidiary Enterprise “Naukanaftogaz” (SE “Naukanaftogaz”) are combined in the creation of Geoportal. This kind of Geoportal was created in Ukraine for the first time. The Open Map of Geoportal provides basic information on the exploration of oil and gas territories and the spatial distribution of geological information, objects of geological observations in order to facilitate the rational planning and location of exploration works also by taking into account the conducted research. More detailed commercially important information becomes available after user registration: hydrocarbon deposits, resources of oil and gas prospecting structures, hydrocarbon volumes obtained, and tabular data of geological explorations of wells. Geoportal is a convenient geoinformation tool for managing the information of GGID of NJSC “Naftogaz of Ukraine” in the subsoil use, activity of service companies and geological exploration of territories.

Due to the increasing number of natural and technogenic disasters the development of geological environment monitoring system is actual one using modern mathematical tools and information technology. The local monitoring of potentially dangerous objects is an important part of the overall environment monitoring system. The complex geophysical research was conducted on Rivne NPP area. The monitoring observations radioisotope study of soil density and humidity near the perimeter of buildings is of the greatest interest among these. In this case a problem occurred to supplement simulated data that were received at the control of chalky strata density changes at the research industrial area with use of radioisotope methods on a grid that included 29 wells. This problem was solved in this work by statistical simulation method that provides the ability to display values (the random field of a research object on a plane) in any point of the monitoring area. The chalk strata averaged density at the industrial area was simulated using the built model and the involvement optimal in the mean square sense Whittle-Matern type correlation function. In this paper the method is used and the model and procedure were developed with enough adequate data for Whittle-Matern type correlation function. The model and algorithm were developed and examples of karst-suffusion phenomena statistical simulation were given in the problem of density chalk strata monitoring at the Rivne NPP area. The statistical model of averaged density chalk strata distribution was built in the plane and statistical simulation algorithm was developed using Whittle-Matern type correlation function on the basis of spectral decomposition. The research subject realizations were obtained with required detail and regularity at the observation grid based on the developed software. Statistical analysis of the numerical simulation results was done and tested for its adequacy.