scholarly journals INCREMENTEL OF RELIABILITY OF OIL PUMPS’S HYDRAULIC SECTIONS

2021 ◽  
Vol 05 (01) ◽  
pp. 42-46
Author(s):  
Ibrahim Habibov ◽  
Gulnaz Rzayeva ◽  
Javidan Veliev
Keyword(s):  
Systematic Approach ◽  
Critical Factor ◽  
Statistical Distribution ◽  
Oil Field ◽  
Market Competitiveness ◽  
Wide Range ◽  
Production Solutions ◽  
Design And Production

Present days’ high market competitiveness requires wide range of design and production solutions to ensure reliable and efficient usage of various types of machines and equipment. From the different perspective provision of equipment with effective preservation and maintenance characteristics is a critical factor to be taken into an account. Arising from these factors, systematic approach for solution is require together with identification failure related to maintenance and operability of the equipment. Various pumps are used in oilfields and particularly their hydraulic parts are among the equipment sets, requires frequent execution of maintenance and modernization works. The article discusses the issue of increasing the reliability of the hydraulic part of oil field pumps. Keywords: oilfield pump, hydraulic part, reliability, modernization, parameters of statistical distribution.

scholarly journals Adherence to Ketogenic and Mediterranean Study Diets in a Crossover Trial: The Keto–Med Randomized Trial

Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 967
Author(s):  
Matthew J. Landry ◽  
Anthony Crimarco ◽  
Dalia Perelman ◽  
Lindsay R. Durand ◽  
Christina Petlura ◽  
...  
Keyword(s):  
Randomized Trial ◽  
Randomized Clinical Trials ◽  
Secondary Analysis ◽  
Critical Factor ◽  
Detailed Examination ◽  
Diet Patterns ◽  
Time Points ◽  
Study Results ◽  
Wide Range ◽  
Diet Pattern

Adherence is a critical factor to consider when interpreting study results from randomized clinical trials (RCTs) comparing one diet to another, but it is frequently not reported by researchers. The purpose of this secondary analysis of the Keto–Med randomized trial was to provide a detailed examination and comparison of the adherence to the two study diets (Well Formulated Ketogenic Diet (WFKD) and Mediterranean Plus (Med-Plus)) under the two conditions: all food being provided (delivered) and all food being obtained by individual participants (self-provided). Diet was assessed at six time points including baseline (x1), week 4 of each phase when participants were receiving food deliveries (x2), week 12 of each phase when participants were preparing and providing food on their own (x2), and 12 weeks after participants completed both diet phases and were free to choose their own diet pattern (x1). The adherence scores for WFKD and Med-Plus were developed specifically for this study. Average adherence to the two diet patterns was very similar during both on-study time points of the intervention. Throughout the study, a wide range of adherence was observed among participants—for both diet types and during both the delivery phase and self-provided phase. Insight from this assessment of adherence may aid other researchers when answering the important question of how to improve behavioral adherence during dietary trials. This study is registered at clinicaltrials.gov NCT03810378.

scholarly journals MOSAIK and FMI-Based Co-Simulation Applied to Transient Stability Analysis of Grid-Forming Converter Modulated Wind Power Plants

2021 ◽  
Vol 11 (5) ◽  
pp. 2410
Author(s):  
Nakisa Farrokhseresht ◽  
Arjen A. van der Meer ◽  
José Rueda Torres ◽  
Mart A. M. M. van der Meijden
Keyword(s):  
Power System ◽  
Time Domain ◽  
Power Plants ◽  
Transient Stability ◽  
Renewable Energy Sources ◽  
Critical Factor ◽  
Primary Control ◽  
Simulation Approach ◽  
Wide Range ◽  
Grid Side

The grid integration of renewable energy sources interfaced through power electronic converters is undergoing a significant acceleration to meet environmental and political targets. The rapid deployment of converters brings new challenges in ensuring robustness, transient stability, among others. In order to enhance transient stability, transmission system operators established network grid code requirements for converter-based generators to support the primary control task during faults. A critical factor in terms of implementing grid codes is the control strategy of the grid-side converters. Grid-forming converters are a promising solution which could perform properly in a weak-grid condition as well as in an islanded operation. In order to ensure grid code compliance, a wide range of transient stability studies is required. Time-domain simulations are common practice for that purpose. However, performing traditional monolithic time domain simulations (single solver, single domain) on a converter-dominated power system is a very complex and computationally intensive task. In this paper, a co-simulation approach using the mosaik framework is applied on a power system with grid-forming converters. A validation workflow is proposed to verify the co-simulation framework. The results of comprehensive simulation studies show a proof of concept for the applicability of this co-simulation approach to evaluate the transient stability of a dominant grid-forming converter-based power system.

scholarly journals State of the Science in Dried Blood Spots

2018 ◽  
Vol 64 (4) ◽  
pp. 656-679 ◽  
Author(s):  
Jeffrey D Freeman ◽  
Lori M Rosman ◽  
Jeremy D Ratcliff ◽  
Paul T Strickland ◽  
David R Graham ◽  
...  
Keyword(s):  
Systematic Approach ◽  
Full Range ◽  
Dried Blood Spots ◽  
Blood Spots ◽  
Highly Sensitive ◽  
Wide Range ◽  
Potential Applications ◽  
Review Of Reviews ◽  
Near Term ◽  
State Of The Science

Abstract BACKGROUND Advancements in the quality and availability of highly sensitive analytical instrumentation and methodologies have led to increased interest in the use of microsamples. Among microsamples, dried blood spots (DBS) are the most well-known. Although there have been a variety of review papers published on DBS, there has been no attempt at describing the full range of analytes measurable in DBS, or any systematic approach published for characterizing the strengths and weaknesses associated with adoption of DBS analyses. CONTENT A scoping review of reviews methodology was used for characterizing the state of the science in DBS. We identified 2018 analytes measured in DBS and found every common analytic method applied to traditional liquid samples had been applied to DBS samples. Analytes covered a broad range of biomarkers that included genes, transcripts, proteins, and metabolites. Strengths of DBS enable its application in most clinical and laboratory settings, and the removal of phlebotomy and the need for refrigeration have expanded biosampling to hard-to-reach and vulnerable populations. Weaknesses may limit adoption in the near term because DBS is a nontraditional sample often requiring conversion of measurements to plasma or serum values. Opportunities presented by novel methodologies may obviate many of the current limitations, but threats around the ethical use of residual samples must be considered by potential adopters. SUMMARY DBS provide a wide range of potential applications that extend beyond the reach of traditional samples. Current limitations are serious but not intractable. Technological advancements will likely continue to minimize constraints around DBS adoption.

Study the effect of casting temperature on details from thermo-plastic materials

2020 ◽  
pp. 42-45
Author(s):  
J.A. Kerimov ◽  
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Mold Temperature ◽  
Quality Parameters ◽  
Oil Field ◽  
Casting Temperature ◽  
Gas Industry ◽  
Field Equipment ◽  
Wide Range ◽  
The Impact

The implementation of plastic details in various constructions enables to reduce the prime cost and labor intensity of machine and device manufacturing, decrease the weight of design and improve their quality and reliability at the same time. The studies were carried out with the aim of labor productivity increase and substitution of colored and black metals with plastic masses. For this purpose, the details with certain characteristics were selected for further implementation of developed technological process in oil-gas industry. The paper investigates the impact of cylinder and compression mold temperature on the quality parameters (shrinkage and hardness) of plastic details in oil-field equipment. The accessible boundaries of quality indicators of the details operated in the equipment of exploration, drilling and exploitation of oil and gas industry are studied in a wide range of mode parameters. The mathematic dependences between quality parameters (shrinkage and hardness) of the details on casting temperature are specified.

Friction Torque and Leakage Based Data-Driven Approach for Rotary Seal Prognostics in Manufacturing Industry

2019 ◽  
Author(s):  
Madhumitha Ramachandran ◽  
Zahed Siddique
Keyword(s):  
Manufacturing Industry ◽  
Friction Torque ◽  
Operating Conditions ◽  
Oil Field ◽  
Data Driven ◽  
Sensor Technology ◽  
Physical Parameters ◽  
Direct Estimation ◽  
Rotary Seal ◽  
Wide Range

Abstract Rotary seals are found in many manufacturing equipment and machines used for various applications under a wide range of operating conditions. Rotary seal failure can be catastrophic and can lead to costly downtime and large expenses; so it is extremely important to assess the degradation of rotary seal to avoid fatal breakdown of machineries. Physics-based rotary seal prognostics require direct estimation of different physical parameters to assess the degradation of seals. Data-driven prognostics utilizing sensor technology and computational capabilities can aid in the in-direct estimation of rotary seals’ running condition unlike the physics-based approach. An important aspect of data-driven prognostics is to collect appropriate data in order to reduce the cost and time associated with the data collection, storage and computation. Seals in machineries operate in harsh conditions, especially in the oil field, seals are exposed to harsh environment and aggressive fluids which gradually reduces the elastic modulus and hardness of seals, resulting in lower friction torque and excessive leakage. Therefore, in this study we implement a data-driven prognostics approach which utilizes friction torque and leakage signals along with Multilayer Perceptron as a classifier to compare the performance of the two metrics in classifying the running condition of rotary seals. Friction torque was found to have a better performance than leakage in terms of differentiating the running condition of rotary seals throughout its service life. Although this approach was designed for seals in oil and gas industry, this approach can be implemented in any manufacturing industry with similar applications.

scholarly journals Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View

2020 ◽  
Vol 34 (04) ◽  
pp. 3438-3445 ◽  
Author(s):  
Deli Chen ◽  
Yankai Lin ◽  
Wei Li ◽  
Peng Li ◽  
Jie Zhou ◽  
...  
Keyword(s):  
Neural Networks ◽  
Quantitative Study ◽  
Critical Factor ◽  
Graph Topology ◽  
Severe Limitation ◽  
Quantitative Metrics ◽  
Wide Range ◽  
Model Predictions ◽  
Graph Neural Networks ◽  
Training Objective

Graph Neural Networks (GNNs) have achieved promising performance on a wide range of graph-based tasks. Despite their success, one severe limitation of GNNs is the over-smoothing issue (indistinguishable representations of nodes in different classes). In this work, we present a systematic and quantitative study on the over-smoothing issue of GNNs. First, we introduce two quantitative metrics, MAD and MADGap, to measure the smoothness and over-smoothness of the graph nodes representations, respectively. Then, we verify that smoothing is the nature of GNNs and the critical factor leading to over-smoothness is the low information-to-noise ratio of the message received by the nodes, which is partially determined by the graph topology. Finally, we propose two methods to alleviate the over-smoothing issue from the topological view: (1) MADReg which adds a MADGap-based regularizer to the training objective; (2) AdaEdge which optimizes the graph topology based on the model predictions. Extensive experiments on 7 widely-used graph datasets with 10 typical GNN models show that the two proposed methods are effective for relieving the over-smoothing issue, thus improving the performance of various GNN models.

Determination of Gyroscopic Drifts Associated With Angular Support Motions

1970 ◽  
Vol 37 (2) ◽  
pp. 279-286
Author(s):  
R. A. Wenglarz
Keyword(s):  
Differential Equations ◽  
Digital Computer ◽  
Systematic Approach ◽  
Equations Of Motion ◽  
System Parameters ◽  
Constant Rate ◽  
Wide Range ◽  
Fixed Line

A previously proposed systematic approach for the analysis of gyroscopic drifts associated with angular support motions is further developed. For a wide range of support motions, the problem of determination of drifts is reduced to the evaluation of four integrals. The validity of the theory is tested by applying it to a gyroscope experiencing a constant rate about a fixed line and comparing the resulting predictions with those of digital computer solutions of the exact differential equations of motion, and formulas relating steady drifts to system parameters are presented.

MEDICAL STUDENTS' PREPARATION FOR ANALYSIS OF STUDY MATERIALS IN THE CHEMICAL COURSE

2019 ◽  
Vol 1 ◽  
pp. 244
Author(s):  
Irina Kazuša
Keyword(s):  
Critical Thinking ◽  
Medical Students ◽  
Knowledge Construction ◽  
Systematic Approach ◽  
Evidence Based ◽  
Information Analysis ◽  
Study Materials ◽  
Participation Level ◽  
Wide Range ◽  
Study Process

The ability to reproduce and assess the content of the text and its argumentation is the most important competence in any profession. Medical students’ systematic approach to information analysis based on evidence-based medical principles can be already developed at the beginning of the study process in the theoretical courses. The goal of this research is to analyse the effectiveness of a didactic model that is based on critical thinking principles and includes a wide range of approaches to working with information. Learning by memorization has become dominant for medical students in Rīga Stradiņš University (RSU). The goal of the chemistry course is to shift the emphasis from fact memorization to knowledge construction, thus significantly changing students’ analytic abilities. The chemistry course not only creates the conditions for understanding content but also improves skills in various methods of acquiring knowledge. When new knowledge is being constructed students learn methods for organizing and structuring information and each student has an opportunity to choose the appropriate amount of information and participation level. Study material is being analyzed sequentially from the simplest to the most complex i.e. by starting with elementary calculations and moving to integrate information from different disciplines. Didactic model based on critical thinking principles underpins "logical steps" and requirements (fact recognition, analysis, and interpretation, recognition of fallacies and concepts, the perfection of reasoning algorithms, interdisciplinary connections) orient students to critically evaluate information while searching for problem solutions. The results obtained in student surveys and final tests prove that the created model, which is based on critical thinking principles, ensures successful mastering of the chemistry course to students with any level of prior knowledge. 

Biotechnology of oil production. Principles and application

2017 ◽  
Author(s):  
Nariman Ismailov
Keyword(s):  
Human Activity ◽  
Oil Production ◽  
Oil Field ◽  
General Idea ◽  
Field Development ◽  
Main Research ◽  
Research Areas ◽  
Oil Field Development ◽  
Wide Range

The importance of biotechnology in various areas of human activity has become increasingly obvious in recent years. This determines the interest that, in our opinion, this book represents. It is aimed primarily at specialists engaged in the development of biotechnologies, as well as oil practitioners. The purpose of this book is to give the most complete, in — depth understanding of what oil production biotechnology is. However, it would be frivolous to say that this book exhaustively covers this topic. It is intended to arouse the interest of researchers and practitioners to this problem and give a General idea about it. This is essentially only the basis of some of the main research areas that can be attributed to the field of oil production biotechnologies, as well as an assessment of the principles that are the basis for the development of such technologies. At the same time, we believe that this book can be a good introduction to most of the main problems of oil production biotechnology. The book is intended not only for oil practitioners and specialists in the field of microbial biotechnologies, but also for a wide range of readers. It will be very useful for a student, an engineer specializing in the field of biotechnology of oil field development, as well as scientists to read this book.

scholarly journals A systematic approach to determine herbicide removals in constructed wetlands using time integrated passive samplers

2011 ◽  
Vol 1 (1) ◽  
pp. 11-17 ◽  
Author(s):  
Declan W. Page ◽  
Stuart J. Khan ◽  
Konrad Miotlinski
Keyword(s):  
Water Treatment ◽  
Constructed Wetlands ◽  
Systematic Approach ◽  
Passive Samplers ◽  
Stormwater Quality ◽  
Natural Wetland ◽  
Process Validation ◽  
Treatment Processes ◽  
Wide Range ◽  
Wetland System

Natural water treatment systems such as wetlands are increasingly being recognised for their role as part of a multi-barrier system for water recycling. Natural wetland systems have the ability to provide effective treatment for a wide range of organic chemicals. However, techniques are required to validate the performance of these treatment processes in the field. This paper provides a new method for evaluating wetland systems using passive samplers and applies a statistical method for use in advanced water treatment processes. Three years of stormwater quality passive sampler data for diuron, simazine and atrazine is provided to determine herbicide removal between the inlet and outlet regions of a constructed wetland. Mean removal rates over the three year period for diuron, simazine and atrazine were 43, 54 and 50% respectively. The results show that this method coupled with passive samplers is amenable to wetland system barrier characterisation where opportunities for process validation is not feasible.

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