Elastic Properties and Mechanical Losses in Rubbers in Complex Stressed State

1991 ◽  
Vol 19 (2) ◽  
pp. 100-112
Author(s):  
L. S. Priss ◽  
A. G. Shumskaya

Abstract It is shown that in the strain range from 30% compression to 60% tension, the elastic potential of filled rubber compounds can be described with sufficient accuracy as a polynomial of the fourth degree with three independent constants. Methods to experimentally determine these constants are pointed out. A method for the calculation of mechanical losses in rubber compounds in a complex stressed state is suggested using the measurement data for simple modes of loading.

Author(s):  
Д. Куделин ◽  
D. Kudelin ◽  
Т. Несиоловская ◽  
T. Nesiolovskaya ◽  
А. Ветошкин ◽  
...  

The most important task of the rubber industry is the continuous improvement of the quality, reliability and durability of products, including rubber membranes, which are widely used in the automotive, aviation, machine tool, chemical and other industries. Membranes in most cases are operated in difficult loading conditions, which leads to a variety of zones and the nature of potential damage that occurs during their operation. At the same time, when developing a new rubber compounds for membranes, most often the standard methods for determining the mechanical characteristics of rubbers are used, most of which involve testing the material under simple uniaxial tension-compression and do not take into account structural changes in the material during loading. In this work, a study of structural changes in the membranes under loading in a complex stressed state, which was realized by indenting the rubber membrane with a spherical indenter, was conducted. Structural changes were evaluated by hydrostatic weighing. It has been established that in the complex stressed state of rubber based on crystallizing IR rubber, there is no distinct advantage over rubber based on amorphous SBR rubber. Indentation suppresses orientation processes in rubbers based on IR crystallizing rubber, which leads to a significant decrease in their strength properties.


2010 ◽  
Vol 42 (4) ◽  
pp. 406-412 ◽  
Author(s):  
F. F. Giginyak ◽  
P. A. Bulakh ◽  
V. N. Mozharovskii ◽  
T. N. Mozharovskaya

2021 ◽  
Author(s):  
Anton Gryzlov ◽  
Liliya Mironova ◽  
Sergey Safonov ◽  
Muhammad Arsalan

Abstract Modern challenges in reservoir management have recently faced new opportunities in production control and optimization strategies. These strategies in turn rely on the availability of monitoring equipment, which is used to obtain production rates in real-time with sufficient accuracy. In particular, a multiphase flow meter is a device for measuring the individual rates of oil, gas and water from a well in real-time without separating fluid phases. Currently, there are several technologies available on the market but multiphase flow meters generally incapable to handle all ranges of operating conditions with satisfactory accuracy in addition to being expensive to maintain. Virtual Flow Metering (VFM) is a mathematical technique for the indirect estimation of oil, gas and water flowrates produced from a well. This method uses more readily available data from conventional sensors, such as downhole pressure and temperature gauges, and calculates the multiphase rates by combining physical multiphase models, various measurement data and an optimization algorithm. In this work, a brief overview of the virtual metering methods is presented, which is followed by the application of several advanced machine-learning techniques for a specific case of multiphase production monitoring in a highly dynamic wellbore. The predictive capabilities of different types of machine learning instruments are explored using a model simulated production data. Also, the effect of measurement noise on the quality of estimates is considered. The presented results demonstrate that the data-driven methods are very capable to predict multiphase flow rates with sufficient accuracy and can be considered as a back-up solution for a conventional multiphase meter.


Geophysics ◽  
2019 ◽  
Vol 84 (6) ◽  
pp. MR195-MR203
Author(s):  
Fuyong Yan ◽  
Lev Vernik ◽  
De-Hua Han

Studying the empirical relations between seismic anisotropy parameters is important for the simplification and practical applications of seismic anisotropy. The elastic properties of mudrocks are often described by transverse isotropy. Knowing the elastic properties in the vertical and horizontal directions, a sole oblique anisotropy parameter determines the pattern of variation of the elastic properties of a transversely isotropic (TI) medium in all of the other directions. The oblique seismic anisotropy parameter [Formula: see text], which determines seismic reflection moveout behavior, is important in anisotropic seismic data processing and interpretation. Compared to the other anisotropy parameters, the oblique anisotropy parameter is more sensitive to the measurement error. Although, theoretically, only one oblique velocity is needed to determine the oblique anisotropy parameter, the uncertainty can be greatly reduced if multiple oblique velocities in different directions are measured. If a mudrock is not a perfect TI medium but it is expediently treated as one, then multiple oblique velocity measurements in different directions should lead to a more representative approximation of [Formula: see text] or [Formula: see text] because the directional bias can be reduced. Based on a data quality analysis of the laboratory seismic anisotropy measurement data from the literature, we found that there are strong correlations between the oblique anisotropy parameter and the principal anisotropy parameters when data points of more uncertainty are excluded. Examples of potential applications of these empirical relations are discussed.


1977 ◽  
Vol 9 (2) ◽  
pp. 175-178
Author(s):  
A. A. Lebedev ◽  
M. G. Loshak ◽  
V. M. Fridman ◽  
P. T. Alfimov

1971 ◽  
Vol 3 (5) ◽  
pp. 534-539 ◽  
Author(s):  
V. V. Khil'chevskii ◽  
V. G. Dubenets

Sign in / Sign up

Export Citation Format

Share Document