334 research outputs found

    Research Risk Factors in Monitoring Well Drillingβ€”A Case Study Using Machine Learning Methods

    Get PDF
    This article takes an approach to creating a machine learning model for the oil and gas industry. This task is dedicated to the most up-to-date issues of machine learning and artificial intelligence. One of the goals of this research was to build a model to predict the possible risks arising in the process of drilling wells. Drilling of wells for oil and gas production is a highly complex and expensive part of reservoir development. Thus, together with injury prevention, there is a goal to save cost expenditures on downtime and repair of drilling equipment. Nowadays, companies have begun to look for ways to improve the efficiency of drilling and minimize non-production time with the help of new technologies. To support decisions in a narrow time frame, it is valuable to have an early warning system. Such a decision support system will help an engineer to intervene in the drilling process and prevent high expenses of unproductive time and equipment repair due to a problem. This work describes a comparison of machine learning algorithms for anomaly detection during well drilling. In particular, machine learning algorithms will make it possible to make decisions when determining the geometry of the grid of wellsβ€”the nature of the relative position of production and injection wells at the production facility. Development systems are most often subdivided into the following: placement of wells along a symmetric grid, and placement of wells along a non-symmetric grid (mainly in rows). The tested models classify drilling problems based on historical data from previously drilled wells. To validate anomaly detection algorithms, we used historical logs of drilling problems for 67 wells at a large brownfield in Siberia, Russia. Wells with problems were selected and analyzed. It should be noted that out of the 67 wells, 20 wells were drilled without expenses for unproductive time. The experiential results illustrate that a model based on gradient boosting can classify the complications in the drilling process better than other models.publishedVersio

    Development of a formalism of discrete element method to study mechanical response of geological materials and media at different scales

    Get PDF
    A general approach to realization of models of elasticity, plasticity and fracture of heterogeneous materials within the framework of particle-based discrete element method is proposed in the paper. The approach is based on constructing many-body forces of particle interaction, which provide response of particle ensemble correctly conforming to the response (including elastic-plastic behavior and fracture) of simulated solids. For correct modeling of inelastic deformation and failure of geological materials and media at "high" structural scales (relative to the scale of grains) an implementation of dilatational Nikolaevsky's model of plasticity of rocks within the framework of mathematical formalism of discrete element method is proposed. Perspectives of multiscale modeling of geological materials from grainrelated scale up to macroscopic scale within the same numerical technique (DEM) are discussed

    Trigonal-bipyramidal Anion [Ph2Cl3Sn]- in the Structure of N-[(Diethylphosphoryl)methyl] piperidinium Diphenyltrichlorostannate(IV)

    Get PDF
    Crystal structure of N-(diethylphosphoryl)methyl-piperidinium diphenyltrichlorostannate(IV), C10H23NO3P+ C12H10Cl3Sn- has been determined, a = 11.416(2), b = 11.582(2), c = 12.491(2) Γ…, α = 69.82(2), β = 81.22(2), γ = 60.73(2)Β°, space group P1̅, 4493 reflections, R(F) = 0.0271, wR(F2) = 0.0712. The structure consists of isolated trigonal-bipyramidal anions and hydrogen-bonded dimers formed by cations. The impact of secondary Snβ‹…β‹…β‹…Cl interactions on the geometry of complex anions is discussed

    Kinks in the Hartree approximation

    Full text link
    The topological defects of the lambda phi^4 theory, kink and antikink, are studied in the Hartree approximation. This allows us to discuss quantum effects on the defects in both stationary and dynamical systems. The kink mass is calculated for a number of parameters, and compared to classical, one loop and Monte Carlo results known from the literature. We discuss the thermalization of the system after a kink antikink collision. A classical result, the existence of a critical speed, is rederived and shown for the first time in the quantum theory. We also use kink antikink collisions as a very simple toy model for heavy ion collisions and discuss the differences and similarities, for example in the pressure. Finally, using the Hartree Ensemble Approximation allows us to study kink antikink nucleation starting from a thermal (Bose Einstein) distribution. In general our results indicate that on a qualitative level there are few differences with the classical results, but on a quantitative level there are some import ones.Comment: 20 pages REVTeX 4, 17 Figures. Uses amsmath.sty and subfigure.sty. Final version, fixed typo in published versio

    Intermolecular interactions-photophysical properties relationships in phenanthrene-9,10-dicarbonitrile assemblies

    Get PDF
    Phenanthrene-9,10-dicarbonitriles show various luminescence behaviour in solution and in the solid state. Aggregation patterns of phenanthrene-9,10-dicarbonitriles govern their luminescent properties in the solid state. Single crystal structures of phenanthrene-9,10-dicarbonitriles showed head-to-tail intraplane (or quasi-intraplane) intermolecular interactions and Ο€-stacking patterns with eclipsing of molecules when viewed orthogonal to the stacking plane. The Ο€-stacking interactions were detected in the X-ray structures of phenanthrene-9,10-dicarbonitriles and studied by DFT calculations at the M06–2X/6–311++G(d,p) level of theory and topological analysis of the electron density distribution within the framework of QTAIM method. The estimated strength of the Cβ‹―C contacts responsible for the Ο€-stacking interactions is 0.6–1.1 kcal/mol. The orientation of molecules in crystals depends on the substituents in phenanthrene-9,10-dicarbonitriles. Distinct molecular orientation and packing arrangements in crystalline phenanthrene-9,10-dicarbonitriles ensured perturbed electronic communication among the nearest and non-nearest molecules through an interplay of excimer and dipole couplings. As a result, the intermolecular interactions govern the solid state luminescence of molecules

    Structural data of phenanthrene-9,10-dicarbonitriles

    Get PDF
    In this data article, we present the single-crystal XRD data of phenanthrene-9,10-dicarbonitriles. Detailed structure analysis and photophysical properties were discussed in our previous study, "Intermolecular interactions-photophysical properties relationships in phenanthrene-9,10-dicarbonitrile assemblies" (Afanasenko et al., 2020). The data include the intra- and intermolecular bond lengths and angles. (c) 2019 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

    Stochastic Production Of Kink-Antikink Pairs In The Presence Of An Oscillating Background

    Get PDF
    We numerically investigate the production of kink-antikink pairs in a (1+1)(1+1) dimensional Ο•4\phi^4 field theory subject to white noise and periodic driving. The twin effects of noise and periodic driving acting in conjunction lead to considerable enhancement in the kink density compared to the thermal equilibrium value, for low dissipation coefficients and for a specific range of frequencies of the oscillating background. The dependence of the kink-density on the temperature of the heat bath, the amplitude of the oscillating background and value of the dissipation coefficient is also investigated. An interesting feature of our result is that kink-antikink production occurs even though the system always remains in the broken symmetry phase.Comment: Revtex, 21 pages including 7 figures; more references adde

    ΠžΠ¦Π•ΠΠšΠ Π‘Π’ΠΠ’Π˜Π‘Π’Π˜Π§Π•Π‘ΠšΠ˜Π₯ Π₯ΠΠ ΠΠšΠ’Π•Π Π˜Π‘Π’Π˜Πš ΠœΠ˜ΠžΠ“Π ΠΠ€Π˜Π§Π•Π‘ΠšΠžΠ™ ΠŸΠžΠœΠ•Π₯И ПРИ ΠœΠΠžΠ“ΠžΠšΠΠΠΠ›Π¬ΠΠžΠ™ Π Π•Π“Π˜Π‘Π’Π ΠΠ¦Π˜Π˜ Π­Π›Π•ΠšΠ’Π ΠžΠšΠΠ Π”Π˜ΠžΠ‘Π˜Π“ΠΠΠ›Π

    Get PDF
    Electromyographic noise is one of the most common noises in electrocardiogram. In case of several electrocardiogram leads, electromyographic noise affects each lead to different extent. It can be taken into account when developing algorithms for multilead electrocardiogram record processing. However, in the existing literature, there is no information about the relationship of electromyographic noise in various ECG leads and their joint probability distribution. The purpose of this paper is to study statistical characteristics of electromyographic noise in ECG signal, from which the electromyographic noise is extracted. The paper proposes a method for extracting electromyographic noise from electrocardiogram signal, based on a polynomial approximation of electrocardiogram signal fragments in sliding window with overlapping fragment subsequent weight averaging. Using this method, fragments of electromyographic noise are extracted from multichannel electrocardiogram records. Based on the obtained data, a joint probability distribution function of electromyographic noise in two adjacent leads is selected, and the correlation relationships between the electromyographic noise in various ECG leads are investigated. The results show that the joint probability distribution function of electromyographic noise in two adjacent leads in the first approximation can be described using bivariate normal distribution. In addition, between the samples of electromyographic noise from two adjacent leads quite strong correlation relationships can be observed.ΠœΠΈΠΎΠ³Ρ€Π°Ρ„ΠΈΡ‡Π΅ΡΠΊΠ°Ρ ΠΏΠΎΠΌΠ΅Ρ…Π° являСтся ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· самых распространСнных ΠΏΠΎΠΌΠ΅Ρ…, ΠΏΡ€ΠΈΡΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… Π² элСктрокардиосигналС. Π’ случаС использования Π½Π΅ΡΠΊΠΎΠ»ΡŒΠΊΠΈΡ… ΠΎΡ‚Π²Π΅Π΄Π΅Π½ΠΈΠΉ элСктрокардиосигнала миографичСская ΠΏΠΎΠΌΠ΅Ρ…Π° Π² Ρ€Π°Π·Π½ΠΎΠΉ стСпСни ΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚ влияниС Π½Π° ΠΊΠ°ΠΆΠ΄ΠΎΠ΅ ΠΈΠ· ΠΎΡ‚Π²Π΅Π΄Π΅Π½ΠΈΠΉ. Π­Ρ‚ΠΎ влияниС ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ ΡƒΡ‡Ρ‚Π΅Π½ΠΎ ΠΏΡ€ΠΈ построСнии Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠ² ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠΊΠ°Π½Π°Π»ΡŒΠ½Ρ‹Ρ… записСй элСктрокардиосигнала. Однако Π² ΡΡƒΡ‰Π΅ΡΡ‚Π²ΡƒΡŽΡ‰Π΅ΠΉ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Π΅ нСдостаточно ΠΏΠΎΠ»Π½ΠΎ исслСдован Π°Π½Π°Π»ΠΈΠ· взаимосвязСй отсчСтов миографичСской ΠΏΠΎΠΌΠ΅Ρ…ΠΈ Π² Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… отвСдСниях элСктрокардиосигнала. ЦСль Ρ€Π°Π±ΠΎΡ‚Ρ‹ – эмпиричСскоС исслСдованиС статистичСских характСристик миографичСской ΠΏΠΎΠΌΠ΅Ρ…ΠΈ, Π²Ρ‹Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ ΠΈΠ· Π·Π°ΡˆΡƒΠΌΠ»Π΅Π½Π½Ρ‹Ρ… Ρ„Ρ€Π°Π³ΠΌΠ΅Π½Ρ‚ΠΎΠ² элСктрокардиосигнала. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΌΠ΅Ρ‚ΠΎΠ΄ выдСлСния миографичСской ΠΏΠΎΠΌΠ΅Ρ…ΠΈ ΠΈΠ· записСй элСктрокардиосигнала. ΠœΠ΅Ρ‚ΠΎΠ΄ основан Π½Π° полиномиальной аппроксимации Ρ„Ρ€Π°Π³ΠΌΠ΅Π½Ρ‚ΠΎΠ² элСктрокардиосигнала Π² ΡΠΊΠΎΠ»ΡŒΠ·ΡΡ‰Π΅ΠΌ ΠΎΠΊΠ½Π΅ с ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠΌ вСсовым усрСднСниСм ΠΏΠ΅Ρ€Π΅ΠΊΡ€Ρ‹Π²Π°ΡŽΡ‰ΠΈΡ…ΡΡ Ρ„Ρ€Π°Π³ΠΌΠ΅Π½Ρ‚ΠΎΠ². Π‘ использованиСм Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Π° ΠΈΠ· ΠΌΠ½ΠΎΠ³ΠΎΠΊΠ°Π½Π°Π»ΡŒΠ½Ρ‹Ρ… записСй элСктрокардиосигнала Π±Ρ‹Π»ΠΈ Π²Ρ‹Π΄Π΅Π»Π΅Π½Ρ‹ Ρ„Ρ€Π°Π³ΠΌΠ΅Π½Ρ‚Ρ‹ миографичСской ΠΏΠΎΠΌΠ΅Ρ…ΠΈ. На основС Π²Ρ‹Π΄Π΅Π»Π΅Π½Π½Ρ‹Ρ… Ρ„Ρ€Π°Π³ΠΌΠ΅Π½Ρ‚ΠΎΠ² ΠΏΠΎΠ΄ΠΎΠ±Ρ€Π°Π½ΠΎ совмСстноС распрСдСлСниС отсчСтов миографичСской ΠΏΠΎΠΌΠ΅Ρ…ΠΈ Π² Π΄Π²ΡƒΡ… смСТных отвСдСниях, Π° Ρ‚Π°ΠΊΠΆΠ΅ исслСдованы коррСляционныС взаимосвязи ΠΌΠ΅ΠΆΠ΄Ρƒ отсчСтами миографичСской ΠΏΠΎΠΌΠ΅Ρ…ΠΈ Π² Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… отвСдСниях элСктрокардиосигнала. Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ установлСно, Ρ‡Ρ‚ΠΎ совмСстноС распрСдСлСниС отсчСтов миографичСской ΠΏΠΎΠΌΠ΅Ρ…ΠΈ Π² Π΄Π²ΡƒΡ… смСТных отвСдСниях Π² ΠΏΠ΅Ρ€Π²ΠΎΠΌ ΠΏΡ€ΠΈΠ±Π»ΠΈΠΆΠ΅Π½ΠΈΠΈ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ описано с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ Π΄Π²ΡƒΠΌΠ΅Ρ€Π½ΠΎΠ³ΠΎ Π½ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π·Π°ΠΊΠΎΠ½Π°. ΠšΡ€ΠΎΠΌΠ΅ Ρ‚ΠΎΠ³ΠΎ, ΠΌΠ΅ΠΆΠ΄Ρƒ отсчСтами миографичСской ΠΏΠΎΠΌΠ΅Ρ…ΠΈ ΠΈΠ· Π΄Π²ΡƒΡ… смСТных ΠΎΡ‚Π²Π΅Π΄Π΅Π½ΠΈΠΉ ΠΌΠΎΠ³ΡƒΡ‚ Π½Π°Π±Π»ΡŽΠ΄Π°Ρ‚ΡŒΡΡ довольно ΡΠΈΠ»ΡŒΠ½Ρ‹Π΅ коррСляционныС взаимосвязи

    Cover letter

    Get PDF
    Acromegaly is a neuroendocrine disorder with multiple comorbidities. In this article, we present a patient with long-term active acromegaly, without clinical remission after repeated neurosurgery and long-term treatment with somatostatin analogue. After the first neurosurgical treatment, cyclic ovarian function improved. Taken together with progressing metabolic disorders, it led to clinical manifestation of adenomyosis, which presented by algomenorrhea, menometrorrhagia and severe anemia. Due to clinical manifestation and extent of the disease, the patient underwent hysterectomy. Histologically we observed adenomyosis II with 2/3 myometrialpenetration. This clinical case highlights the importance of gynecological assessment among patients with acromegaly of late reproductive and premenopausal period
    • …
    corecore