The technique of revealing the response during well interference test in the conditions of a high noise level of pressure and the presence of pressure trends

Author(s):  
D.N. Maykov ◽  
◽  
R.S. Vasilyev ◽  
D.M. Vasilyev ◽  
◽  
...  
Geophysics ◽  
1965 ◽  
Vol 30 (6) ◽  
pp. 1085-1093 ◽  
Author(s):  
Daniel Silverman ◽  
N. R. Sparks

One of the most promising methods of identification or cancellation of multiple reflections on seismic records involves the calculation of synthetic records with all primaries and multiples, and the matching of the synthetic record with the field record. Such matching suffers today from the lack of precise information about the velocities and densities of the formations, dips of beds nonvertical transmission, etc. One possibility of improving this match involves the use of the earth itself as the “synthetic record computer.” In this process, the upcoming (or downgoing) primary signals are fed back into the earth with a vibrator in proper amplitude and phase to create a synthetic record of multiples only, which should match the multiples on the field record. Of course, only those multiple reflections which include a downward reflection from beds above the primary signal detectors will be included in the synthetic record of multiples only. The paper reports two experimental programs. One was carried out on an analog network to simulate the near‐surface and deeper formations, with means to feed back the upcoming signals in proper timing and polarity to cancel the multiples. These experiments indicated the theoretical workability of the process. The second program of experiments involved the use of a vertical spread to detect the upcoming and downgoing signals, and the use of a hydraulic vibrator to impress those signals back into the earth. These experiments were not conclusive because of insufficient power in the vibrator and high noise level. However, they indicated possible ways in which these limitations might be reduced, and the method applied to routine field operations.


Internet of Things is a medium by which we can control our appliances from anywhere in the world. In Industry many times accidents happened due to negligence of workers and there are some risky areas in Industry where workers not able to go and work. Voice-controlled Industrial parameters monitoring and controlling system are used in the risky areas of Industries usually in power plants where there are high noise level and pollution to avoid accidents. Here an induction motor speed, temperature, pressure, etc are monitored and controlled to avoid damage to the motor. These all the parameters are going to monitor and controlled automatically. In this paper, Google-Assistant and Adafruit IO server are used for monitoring and controlling. By using this system the workers can monitor and control Industrial appliances and problems occur in Industries where workers not able to go and work are overcome.


2007 ◽  
Vol 66 (7) ◽  
pp. 661-672
Author(s):  
V. V. Zolotarev ◽  
G. V. Ovechkin

2014 ◽  
Vol 26 (1-2) ◽  
pp. 29-36 ◽  
Author(s):  
MMM Hoque ◽  
LK Basak ◽  
M Rokanuzzaman ◽  
Sajal Roy

The study was carried out to ascertain the level of noise pollution at different locations in Tangail municipal area. For this purpose noise levels were measured at different locations at different periods of the day. At all the locations the level of noise were found to be higher than the acceptable level. The intensity of noise was found lower with increasing distance from the road side. The noise level on the main road near hospital, shopping center and bazars was above the standard level recommended by MoEF. From the survey motor vehicles were found as the main cause of high noise level. The most common problems with high noise level were found to increased heart beat, drowsiness, headache and hearing impairment. DOI: http://dx.doi.org/10.3329/bjsr.v26i1-2.20228 Bangladesh J. Sci. Res. 26(1-2): 29-36, December-2013


1980 ◽  
Vol 69 (2) ◽  
pp. 485-493 ◽  
Author(s):  
G. Kov�cs

Akustika ◽  
2021 ◽  
pp. 22-24
Author(s):  
Alexey Shvetsov ◽  
Viktor Gromov

The high noise level in modern airports is one of the causes that affect the occurrence of accidents involving airliners and ground vehicles operating at the airport. In this study, an emergency prevention algorithm has been developed aiming at reducing the probability of an emergency collision of an airliner and a land vehicle by separating the noise generated during the airport operation into the noise that warns the pilot (operator) about the threat of an emergency collision and the noise that contributes to the accident initiation. The results of the study can be used in the development of new methods and technical means aimed at preventing accidents at airports.


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