bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of Reservoir Properties from Seismic Data by Multivariate Geostatistics Analysis
Authors: Bezkhodarnov Vladimir V. , Chichinina Tatiana I. , Korovin Mikhail O. , Trushkin Valeriy V. 
Published: October 2021

Abstract
A new technique has been developed and is being improved, which allows, on the basis of probabilistic and statistical analysis of seismic data, to predict and evaluate the most important parameters of rock properties (including the reservoir properties such as porosity and permeability), that is, oil saturation, effective thicknesses of reservoirs, their sand content, clay content of seals, and others; it is designed to predict the reservoir properties with sufficient accuracy and detail, for subsequent consideration of these estimates when evaluating hydrocarbon reserves and justifying projects for the deposits development.
Quantitative reservoir-property prediction is carried out in the following stages:
– Optimization of the graph ("scenario") of seismic data processing to solve not only the traditional structural problem of seismic exploration, but also the parametric one that is, the quantitative estimation of rock properties. – Computation of seismic attributes, including exclusive ones, not provided for in existing interpretation software packages. – Estimation of reservoir properties from well logs as the base data. – Multivariate correlation and regression analysis (MCRA) includes the following two stages: Establishing correlations of seismic attributes with estimates of rock properties obtained from well logs. Construction of multidimensional (multiple) regression equations with an assessment of the "information value" of seismic attributes and the reliability of the resulting predictive equations. (By the "informative value" we mean the informativeness quality of the attribute.) – Computation and construction of the forecast map variants, their analysis and producing the resultant map (as the most optimal map version) for each predicted parameter. – Obtaining the resultant forecast maps with their zoning according to the degree of the forecast reliability.
The MCRA technique is tested by production and prospecting trusts during exploration and reserves’ estimation of several dozen fields in Western Siberia: Kulginskoye, Shirotnoye, Yuzhno-Tambaevskoye, etc. (Tomsk Geophysical Trust, 1997-2002); Dvurechenskoe, Zapadno-Moiseevskoe, Talovoe, Krapivinskoe, Ontonigayskoe, etc. (TomskNIPIneft, 2002–2013).
Specification of the Geological Structure of the Inter-Salt Sediments of the Savichskoye Area Based on the Results of Well N

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10S2 Drilling and Performing 3D Seismic Surveys in Order to Assess the Prospects for Identifying Hydrocarbons in Low-Permeability Reservoirs
Authors: Tsyhankou Andrei , Kanyushenka Alyaksandr , Hrudzinin Alyaksandr , Kudrashou Alyaksei 
Published: October 2021

Abstract
The results of the well 10s2-Savichskaya drilling, laboratory core research are set out. Based on the results of integration the latest methods of wire line survey, laboratory core samples research, seismic facies analysis, typical lithotypes of the Savichsko-Bobrovichi area rocks were identified, reservoir features were predicted, the prospects of inter-salt deposits for identifying accumulations of hydrocarbons in unconventional reservoirs were substantiated. A perspective zone was identified and recommendations for drilling a pilot bore were given.
Integrating Horizontal Wellbores When Building a Geological Model of an Offshore Field
Authors: Kokareva Oksana Vasilievna , Miryasova Yana Andreevna , Alekseeva Tamara Aleksandrovna 
Published: October 2021

Abstract
With the advent of the equipment for full well logging suite in the horizontal wells, it became possible to evaluate the reservoir's quantitative parameters. However, the original curves are mainly used for this purpose, which leads to significant errors, in particular due to the significant influence of nearby reservoirs on the tools readings in the penetrated deposits.
There is a need to discuss the current issues of interpretation in directional, horizontal and multi-lateral wells with the experts.
3DP module in the downhole software platform* allows to evaluate the overall influence of geometric effects, as well as to adjust logging curves for the influence of several reservoirs on the logging tools responses, which are not still taken into account by conventional methods when processing.
The modeled density image is especially useful for confirming the model geometry, updating the local dip angle, and identifying areas, where additional features, such as thin layers, are to be added. The accounting for density and neutron porosity for layers in the petrophysical analysis increases the efficiency of calculating clay volume and porosity, which affects the saturation.
The authors also proposed a methodology for assessing share of sand component based on RHOB image. Further accounting of NTG, for the correct assessment of the reservoir properties in a heterogeneous reservoir, followed by the data accounting in the geological model.
The results obtained in the course of the work allowed to apply the spatial interpretation of horizontal well in geological modeling, as well as to improve the interpretation algorithm.
Digitization of the Upstream Data Shared from the Private Sector to the Government Sector
Authors: Ashkanani Abdullah , Rashed Hessa , Al-Ohali Dalal , Al-Ansari Bedour , Al-Ibrahim Balqees , Al-Bader Rakan , Sadiq Bashayer , Hassan Mohammad , Abalkhail Haya 
Published: October 2021

Abstract
The Ministry of Oil (MOO) is going with new task to realize the New Kuwait Vision, and so, MOO is on track to shift to a complete digital work environment. Preliminary steps toward the transformation arose with a high concern of connecting with one of the main stakeholders, the Kuwait Oil Company. All in optimism to modernize the data digitally between the Kuwait Oil Company and the Ministry of Oil when it comes to the Technical papers proposal.
Based on such, many more motives appeared to modify the work process from manual to digital. Therefore, crucial plans were established based on calculated plans set by managerial personnel to group delegated tasks. As an outcome, the staff with recognizable capabilities dispersed these tasks and executed most using current applications.
In the ancient systems, papers that used to take around 21 working days to be reviewed from start to finish, now in a days with the digital system, take around 3 days only, saving a lot of time and resources for each technical paper that is submitted through this new and improved system.
Of course, guaranteeing a paperless route brought about many challenges and worries. The most important of them being the reassurance of security measures to protect personnel and the data sharing process. Additionally, the reception of senior workforces to change habits and relearn new procedures of producing daily tasks, as well as, increasing the capability through training courses and supervision. Furthermore, tackling errors exposed within the system through trial and error to boost the experience and optimize workflow.
Efficiency Criteria of Operations in the Marine Resuce Support for Hydrocarbons Production and Transportation in the Arctic Zone of the Russian Federation
Authors: Lapteva Tatyana Ivanovna , Kopaeva Lyudmila Anatolyevna , Mansurov Marat Nabievich , Efremov Vladimir Ivanovich , Ilyuhin Viktor Nikolayevich 
Published: October 2021

Abstract
The creation of an effective system of rescue support (the abbreviation ASO is adopted on the territory of the Russian Federation) in the implementation of the processes of oil and gas production and transportation in the Arctic seas of Russia is an urgent and difficult task. The feasibility of creating such a system for offshore oil and gas production facilities is due to the statistics of accidents and incidents at such facilities, as well as the fact that the Merchant Shipping Code of the Russian Federation, in essence, does not consider the applicability of the existing system of rescue operations on platforms that are exploring and developing mineral and other non-living resources the seabed and its bowels.
The successful solution of numerous problems of rescue support, including the requirements for the quality of the system, indicators and criteria for the effectiveness of the operations carried out, can be significantly increased by using mathematical models that make it possible to identify patterns in the processes of performing urgent work, improve the quality of planning, and, consequently, the efficiency of management of various organizational systems. Applied in many areas of activity, the scientific direction "research of operations" is advisable to use when system generation of rescue support within the framework of improving the system of technical regulation of oil and gas enterprises.
Determining the effectiveness of a purposeful process quantitatively will allow, on a scientific basis, with the involvement of modern mathematical methods, to solve the problem of increasing the effectiveness of the use of forces and means of the marine rescue support, including the functioning of the emergency support system in the mode of daily and emergency activities, as well as the preparation of the necessary forces and means.
The novelty of the presented work lies in the application of the provisions of the theory and the apparatus of operations research to assessing the effectiveness of the system of the marine rescue support, which will further serve as a methodological basis for the development of a number of documents and provisions that are of practical importance: methods, requirements for the system of rescue support, documents in the field of control over the rescue system, etc.
Digital platform for E&P Assets Business Process Optimization with a Module for Estimation and Optimizing of Greenhouse Gases Emissions. Case Study
Authors: Tokarev Denis , Tailakov Dmitry , Ablaev Anton 
Published: October 2021

Resume
Due to the increasing requirements for reducing the carbon footprint on the part of end users of hydrocarbons, there is a need to develop a system for automated analysis of the main business processes of oil and gas field development to assess greenhouse gas emissions, as well as for optimization in order to improve environmental safety. The paper describes a prototype of a platform that was developed for decarbonization of oil and gas enterprises using modern optimization tools and up-to-date methods for inventory of greenhouse gas emissions.
The platform is based on the following models:
– simulation model (IM) – simulates the company's business processes, identifying weaknesses and areas of potential development, is a set of mathematical algorithms for solving direct problems; – optimization model (OM) – allows to conduct a comprehensive analysis with a large number of parameters, excluding manual data processing and using automated information exchange between various software that is used in the oil and gas industry for modeling and monitoring of various processes, as well as developing various development options (taking into account geological conditions, geophysical interpretation, etc.). The initial conditions and the specified criteria related to economic indicators allow to solve the problem of finding the optimal parameters for the development of the selected asset.
This paper shows the economic effect of implementing software based on a digital twin, implemented as a platform with the ability to build a model of an oil and gas asset, using various data (SAP, 1C, IPM GAP, Repos, Eclipse, etc.) and targets for the development. In the same way, the possible losses of the oil and gas industry from the introduction of additional carbon taxation and the potential for optimizing processes to minimize these costs are considered. IPCC methods are used to calculate greenhouse gas emissions, and direct, indirect, and fugitive emissions are considered in the calculation. The main conclusion is the need to reduce the costs for oil and gas companies and prepare modern automated digital solutions for accounting for greenhouse gas emissions in advance to achieve a zero-carbon footprint and maintain the competitiveness of the Russian oil and gas industry.
As a result of the work done, the feasibility was justified, and the result was demonstrated to the customer for calculating greenhouse gas emissions based on digital twins of key business processes of oil and gas enterprises. The use of automated systems makes it possible to reduce the potential economic risks associated with the introduction of a carbon fee from large oil and gas consumers.
Direct Energy Minimization Algorithm for Numerical Simulation of Carbon Dioxide Injection
Authors: Khakimova Lyudmila , Isaeva Anna , Dobrozhanskiy Vladimir , Podladchikov Yury 
Published: October 2021

Abstract
We discuss numerical simulation of carbon dioxide injection considered by oil and gas companies. Complex behavior of multicomponent reservoir fluids mixed with carbon dioxide may cause the occurrence of vapor-liquid-liquid equilibria (VLLE), salt precipitation in aquifers, pore-clogging, etc. We propose a simple algorithm for phase equilibria calculations based on the minimization of the multicomponent system free energy. This algorithm can be used to calculate phase separations and component partitioning between the phases under various conditions (critical region, two- and three-phase equilibria, etc.). We demonstrate the applicability of the proposed algorithm in a series of calculations. We consider binary and ternary mixtures that include carbon dioxide and hydrocarbons. We examine the algorithm in two- and three-phase equilibrium calculations and compare its performance with the popular iterative fugacity equilibration technique. We show that both calculation techniques give near-identical results for the considered mixtures. Thus, we show that the free energy minimization algorithm can be used interchangeably with the fugacity equilibration technique for calculating phase equilibria. This algorithm is applicable for VLLE calculations, which is important when considering multicomponent reservoir fluids that include carbon dioxide.
Investigation of CO2 Utilization Processes on Metal-Containing Fillers with Generation of Hydrogen and Hydrocarbons
Authors: Garifullina Chulpan Aydarovna , Ibragimov Ildar Ilyasovich , Indrupskiy Ilya Mikhailovich , Klimov Dmitriy Sergeevich , Zakirov Ernest Sumbatovich , Sakhabutdinov Rifkhat Zinnurovich 
Published: October 2021

Abstract
Continuing consumption of fossil fuels around the world, which has led to an increasing concentration of carbon dioxide CO2 in the atmosphere and global climate change caused by greenhouse gases, has become one of the main challenges for humanity. Heterogeneous catalytic hydrogenation of carbon dioxide in order to obtain valuable carbon-containing products and materials is one of the decarbonization directions. There is much research in the world dedicated to the hydrogenation of CO2 to various hydrocarbons, such as methane, lower olefins, long-chain hydrocarbons, formic acid, methanol and higher alcohols, which are produced by catalytic reactions with various mechanisms. There are still significant challenges associated with the need for an external source of hydrogen, high process temperatures, and the development of active, selective, and stable catalysts that would be suitable for large-scale production.
This paper presents results of research on a CO2 utilization method with hydrogen and hydrocarbons production – the transformation of wastes into a source of energy, which allows solving environmental and energy problems. The method described in this paper consists in the interaction of metallic fillers with water saturated with carbon dioxide in a reactor at low (room) temperatures and further analysis of the resulting gas mixture using a chromatograph.
Qualitative and quantitative evaluation of the produced gas composition, study of the effect of reaction system volume, filler composition and structure, and process temperature on the reaction product yield are presented. The results of theoretical and experimental analysis of the reactions underlying the process are given, and the economic potential of the proposed laboratory method is evaluated.
Investigation of Underground Bio-Methanation Using Bio-Reactive Transport Modeling
Authors: Nikolaev Denis Sergeevich , Moeininia Nazika , Ott Holger , Bueltemeier Hagen 
Published: October 2021

Abstract
Underground bio-methanation is a promising technology for large-scale renewable energy storage. Additionally, it enables the recycling of CO2 via the generation of "renewable methane" in porous reservoirs using in-situ microbes as bio-catalysts. Potential candidate reservoirs are depleted gas fields or even abandoned gas storages, providing enormous storage capacity to balance seasonal energy supply and demand fluctuations. This paper discusses the underlying bio-methanation process as part of the ongoing research project "Bio-UGS – Biological conversion of carbon dioxide and hydrogen to methane," funded by the German Federal Ministry of Education and Research (BMBF). First, the hydrodynamic processes are assessed, and a review of the related microbial processes is provided. Then, based on exemplary field-scale simulations, the bio-reactive transport process and its consequences for operation are evaluated.
The hydrogen conversion process was investigated by numerical simulations on field scale. For this, a two-phase multi-component bio-reactive transport model was implemented by (Hagemann 2018) in the open-source DuMux (Flemisch et al. 2011) simulation toolkit for porous media flow. The underlying processes include the transport of reactants and products, consumption of specific components, and the related growth and decay of the microbial population, resulting in a bio-reactive transport model. The microbial kinetic parameters of methanogenic reactions are taken from the available literature. The simulation study covers different scenarios on conceptional field-scale models, studying the impact of well placement, injection rates, and gas compositions.
Due to a significant sensitivity of the simulation results to the bio-conversion kinetics, the field-specific conversion rates must be obtained. Thus, the Bio-UGS project is accompanied by laboratory experiments out of the frame of this paper.
Other parameters are rather a matter of design; in the present case of depleted gas fields, those parameters are coupled and can be chosen to convert fully hydrogen and carbon dioxide to methane. Especially the well spacing can be considered the main design parameter in the likely case of a given injection rate and gas composition.
This study extends the application of the previously developed code from a homogeneous-2D to the heterogeneous-3D case. The simulations mimic the co-injection of carbon dioxide and hydrogen from a 40 MW electrolysis.
Informative Value and Interpretation Reliability of Wide Frequency Range Acoustic Noise Technique in Operating Horizontal Wells
Authors: Yarullin Rashid Kamilevich , Valiullin Rim Abdullovich , Yarullin Airat Rashidovich , Mihailov Dmitry Nikolaevich , Shako Valery Vasilyevich , Bikkulov Marsel Minullovich 
Published: October 2021

Abstract
This paper is devoted to the problem of informative value and interpretation reliability of wide frequency range acoustic noise technique in operating horizontal wells considering results of laboratory experiments conducted with wellbore mockups. The set of factors affecting the spectrum of acoustic noise recorded in wellbore were experimentally investigated and the necessity for calibrating of noise logging tools to provide results of acoustic measurements in the unified scale is also discussed.
Implementation of Vendor-Independent Stochastic Inversion for Improving Quality and Efficiency of Well Placement on the Field of Novatek Company
Authors: Nemushchenko Danil Andreevich , Shpakov Pavel Vladimirovich , Bybin Petr Valerievich , Ronzhin Kirill Viktorovich , Sviridov Mikhail Vladimirovich 
Published: October 2021

Abstract
The article describes the application of a new stochastic inversion of the deep-azimuthal resistivity data, independent from the tool vendor. The new model was performed on the data from several wells of the PAO «Novatek», that were drilled using deep-azimuthal resistivity tools of two service companies represented in the global oilfield services market.
This technology allows to respond in a timely manner when the well approaches the boundaries with contrasting resistivity properties and to avoid exit to unproductive zones. Nowadays, the azimuthal resistivity data is the method with the highest penetration depth for the geosteering in real time.
Stochastic inversion is a special mathematical algorithm based on the statistical Monte Carlo method to process the readings of resistivity while drilling in real time and provide a geoelectrical model for making informed decisions when placing horizontal and deviated wells. Until recently, there was no unified approach to calculate stochastic inversion, which allows to perform calculations for various tools. Deep-azimuthal resistivity logging tool vendors have developed their own approaches. This article presents a method for calculating stochastic inversion. This approach was never applied for this kind of azimuthal resistivity data. Additionally, it does not depend on the tool vendor, therefore, allows to compare the data from various tools using a single approach.
Applying of Robotic Equipment to Perform Production Logging Operations in Extended Horizontal Exploration Wells Equipped with the Y-Tool System
Authors: Morozov Oleg Nikolaevich , Andriyanov Maksim Alexandrovich , Ivlev Mikhail Sergeevich , Koloda Alexey Vladimirovich , Gabdullin Aydar Razinovich , Agadullin Vadim Akramovich 
Published: October 2021

Abstract
This article describes the implementation process for use of robotic equipment to perform production logging in extended horizontal production wells equipped with a Y-Tool bypass system. The article describes in detail the process of searching for technological solutions from bench tests to the introduction of technology in the field.
The described technology allowed the Company to find a solution to work with the Y-Tool bypass system in the production wells of the Prirazlomnoye field.