Abstract Rational development of oil and gas reservoirs is possible only with efficient monitoring by various well logging techniques. This paper presents algorithms for processing data acquired spectral noise (SNL) in memory mode. The SNL technology designed to identify flowing reservoir intervals, cross-flows behind casing tubing leaks analysis recorded signals. While moving through a reservoir, fluids gases create turbulence rock vibrations that turn generate noise. acoustic tool...

Abstract This paper presents downhole magnetic imaging defectoscopy (MID) in memory mode, its key principles, differences from other corrosion logging technologies, and some results of application oil wells. The MID technology is designed to check the integrity non-magnetic tubing casing strings gas It can be used detect various defects, mechanical wear, assess quality perforations. tool contains two high-sensitivity sensors: a short generator/receiver coil long one with relaxation times...

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

This paper describes the analysis and modelling of word usage frequency time series. During one previous studies, an assumption was put forward that all frequencies have uniform dynamics approaching shape a Gaussian function. can be checked using dictionaries Google Books Ngram database. database includes 5.2 million books published between 1500 2008. The corpus contains over 500 billion words in American English, British French, German, Spanish, Russian, Hebrew, Chinese. We clustered series...

Abstract Carbonate reservoirs are known to contain considerable hydrocarbon reserves. There are, however, several challenges that may complicate the process of development this type reservoirs, such as low porosity and high degree fracturing heterogeneity, which, cumulatively, could result in a oil recovery factor (RF). Optimisation carbonate fields is impossible without preliminary reservoir studies focused on assessment their production potential. Such include an analysis complex pore...

Abstract Solid particles (sand) production in oil and gas wells can significantly affect well productivity. The negative effect be caused by sanding up of the perforations, tubing downhole equipment, abrasive wear completion surface equipment. near-wellbore zone also damaged. Considering this, it is critically important to able identify sand intervals for purposes ensuring control preventing impact production. paper presents a new method locating using spectral acoustic logging tools, which...

In this paper the method for modelling of word usage frequency time series is proposed. An artificial feedforward neural network was used to predict frequencies. The trained using maximum likelihood criterion. Google Books Ngram corpus analysis. This database provides a large amount data on specific forms 7 languages. Statistical allows finding optimal fitting and filtering algorithm subsequent lexicographic analysis verification trend models.

Abstract In the last decade, quantitative analysis of diachronic changes in language and lexical semantic have become subject active research. A significant role was played by development new effective techniques word embedding. This direction has been effectively demonstrated a number studies. Some them focused on optimal type word2vec models, hyperparameters for training, evaluation techniques. this research, we used Corpus Historical American English (COHA). The paper demonstrates results...

Abstract The risk of gas release in a formation under reservoir pressure depletion conditions can lead to productivity drop. This is particularly critical for carbonates with highly non-uniform properties. Identifying intervals high gas-oil ratios using conventional PLT methods challenging when initial saturation low, or wellbore close the bubble-point pressure. paper presents an approach early detection based on machine learning analysis passive acoustic data as part data.

In this paper we describe results of the principal components analysis dynamics Total Electronic Content (TEC) data with use global maps presented by Jet Propulsion Laboratory (NASA, USA) for period 2007-2011. We show that result decomposition in essentially depends on method used preprocessing data, their representation (the coordinate system), and centering technique (e.g., daily seasonal extracting). The momentarily co-moving frame reference other special techniques provide opportunity...

In this study a similarity in changes of frequencies dynamics for semantically related words was analyzed using word statistics extracted from more than 4.5 million books written over period 205 years. The approach is based on the correlation analysis 1-grams frequency dynamics. We synonym pairs, their corresponding antonymous groups and random pairs. Also, we compared several metrics to find most effective assessing degree use different words. Comparing differences between logarithmic rank...

In this article, we propose a combination of an noise-reduction algorithm based on Singular Spectrum Analysis (SSA) and standard feedforward neural prediction model. Basically, the proposed consists two different steps: data preprocessing SSA filtering method step-by-step training procedure in which use simple multilayer network with backpropagation learning. The successfully removes most noise. That increases long-term predictability processed dataset comparison raw dataset. was applied to...

Abstract The most effective technique of low-permeability reservoir development is multistage hydraulic fracturing (hydrofrac) in horizontal wells. One the specific features operating such wells that vast majority cases flow rates from created fractures are insignificant and remain below sensitivity threshold tools part conventional production logging suite. In addition, unconventional reservoirs, as Bazhenov formation, requires application special techniques. Therefore, estimation...

Abstract One of the most cost-effective technologies used during development hard-to-recover reserves is horizontal drilling with multistage hydraulic fracturing. This paper dedicated to assessment fracturing effectiveness in formations low-permeability and high clay content. The demonstrates how integrated logging suite supplemented High-Definition Spectral Noise Logging tool can provide valuable information on flowing reservoir zones behind liner therefore effectiveness. Based results...