5 research outputs found
ΠΠ°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ , ΠΏΡΠΈΡ ΠΎΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΈ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ°Π±ΠΎΡΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ ΠΎΡ ΡΡΠΎΠ²Π½Ρ Π»ΠΈΡΠ½ΠΎΡΡΠ½ΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ Π³ΠΈΠΏΠΎΠ±Π°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π³ΠΈΠΏΠΎΠΊΡΠΈΠΈ
The features of tolerance to acute hypoxia by individuals with different levels of trait anxiety are presented. It was established that changes in such physiological parameters as heart rate in individuals with a high level of personal anxiety are more pronounced in hypoxic conditions. In particular, in this group, by the 25th minute of lifting in the altitude training chamber to a height of 5000 m, the heart rate increased by an average of 38.1% (p<0,01) of background values. In persons with a low level of trait anxiety, an increase in heart rate does not exceed an average 32% (p<0,01). However, in subjects with a high level of trait anxiety, compared with people with a low level of trait anxiety, a more pronounced increase in the Rufie index at an average of 18,2% (p<0,01). In addition, in individuals with a high level of trait anxiety, a more pronounced slowing-down time of a complex sensorimotor reaction by 33,0 ms (p<0,05) from the background value was observed, while in people with a low level of trait anxiety, on average, only by 20,2 ms (p<0,05). Thus, changes in individual physiological parameters in individuals with a high level of trait anxiety are more pronounced, their functional state is less tolerant to the hypoxia effect, and the level of physical performance is lower on average in this group.ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΏΠ΅ΡΠ΅Π½ΠΎΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡΡΡΠΎΠΉ Π³ΠΈΠΏΠΎΠΊΡΠΈΠΈ Π»ΠΈΡΠ°ΠΌΠΈ Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ Π»ΠΈΡΠ½ΠΎΡΡΠ½ΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ°ΠΊΠΈΡ
ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, ΠΊΠ°ΠΊ ΡΠ°ΡΡΠΎΡΠ° ΡΠ΅ΡΠ΄Π΅ΡΠ½ΡΡ
ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΠΉ (Π§Π‘Π‘), Ρ Π»ΠΈΡ Ρ Π²ΡΡΠΎΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ Π»ΠΈΡΠ½ΠΎΡΡΠ½ΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ Π±ΠΎΠ»Π΅Π΅ Π²ΡΡΠ°ΠΆΠ΅Π½Ρ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π³ΠΈΠΏΠΎΠΊΡΠΈΠΈ. Π ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, Π² ΡΡΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅ ΠΊ 25-ΠΉ ΠΌΠΈΠ½ΡΡΠ΅ Π±Π°ΡΠΎΠΊΠ°ΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ° Π½Π° Π²ΡΡΠΎΡΡ 5000 ΠΌ Π§Π‘Π‘ ΡΠ²Π΅Π»ΠΈΡΠΈΠ»Π°ΡΡ Π² ΡΡΠ΅Π΄Π½Π΅ΠΌ Π½Π° 38,1% (p<0,01) ΠΎΡ ΡΠΎΠ½ΠΎΠ²ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ. Π£ Π»ΠΈΡ Ρ Π½ΠΈΠ·ΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ Π»ΠΈΡΠ½ΠΎΡΡΠ½ΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ Π§Π‘Π‘ Π½Π΅ ΠΏΡΠ΅Π²ΡΡΠ°Π΅Ρ Π² ΡΡΠ΅Π΄Π½Π΅ΠΌ 32% (p<0,01). ΠΠ΄Π½Π°ΠΊΠΎ ΠΏΡΠΈ ΡΡΠΎΠΌ Ρ ΠΈΡΠΏΡΡΡΠ΅ΠΌΡΡ
Ρ Π²ΡΡΠΎΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π»ΠΈΡΠ°ΠΌΠΈ Ρ Π½ΠΈΠ·ΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ Π»ΠΈΡΠ½ΠΎΡΡΠ½ΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΎΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ Π±ΠΎΠ»Π΅Π΅ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΠ΅ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ ΠΈΠ½Π΄Π΅ΠΊΡΠ° Π ΡΡΡΠ΅ Π² ΡΡΠ΅Π΄Π½Π΅ΠΌ Π½Π° 18,2% (p<0,01). ΠΡΠΎΠΌΠ΅ ΡΠΎΠ³ΠΎ, Ρ Π»ΠΈΡ Ρ Π²ΡΡΠΎΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ Π»ΠΈΡΠ½ΠΎΡΡΠ½ΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΎΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ Π±ΠΎΠ»Π΅Π΅ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΠ΅ Π·Π°ΠΌΠ΅Π΄Π»Π΅Π½ΠΈΠ΅ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΡΠ»ΠΎΠΆΠ½ΠΎΠΉ ΡΠ΅Π½ΡΠΎΠΌΠΎΡΠΎΡΠ½ΠΎΠΉ ΡΠ΅Π°ΠΊΡΠΈΠΈ Π½Π° 33,0 ΠΌΡ (p<0,05) ΠΎΡ ΡΠΎΠ½ΠΎΠ²ΠΎΠ³ΠΎ, Π² ΡΠΎ Π²ΡΠ΅ΠΌΡ ΠΊΠ°ΠΊ Ρ Π»ΠΈΡ Ρ Π½ΠΈΠ·ΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ Π»ΠΈΡΠ½ΠΎΡΡΠ½ΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ Π² ΡΡΠ΅Π΄Π½Π΅ΠΌ Π»ΠΈΡΡ Π½Π° 20,2 ΠΌΡ (p<0,05). Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Ρ Π»ΠΈΡ Ρ Π²ΡΡΠΎΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ Π»ΠΈΡΠ½ΠΎΡΡΠ½ΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ Π±ΠΎΠ»Π΅Π΅ Π²ΡΡΠ°ΠΆΠ΅Π½Ρ, ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ Ρ Π½ΠΈΡ
ΠΌΠ΅Π½Π΅Π΅ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎ ΠΊ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π³ΠΈΠΏΠΎΠΊΡΠΈΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ°Π±ΠΎΡΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ Π² ΡΡΠ΅Π΄Π½Π΅ΠΌ Π² Π΄Π°Π½Π½ΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅ Π½ΠΈΠΆΠ΅.</p
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Seismic monitoring of a small CO2 injection using a multi-well DAS array: Operations and initial results of Stage 3 of the CO2CRC Otway project
Active time-lapse seismic is widely employed for monitoring CO2 geosequestration due to its ability to track the distribution of fluids in space and time. However, standard 4D seismic monitoring suffers from several challenges, including high cost, disruption to other land uses, and, consequently, relatively large intervals between monitor surveys. Some of these challenges can be mitigated using permanently installed sources and receivers. Such an approach was tested at the CO2CRC Otway site by continuous offset VSP monitoring of 15,000 t of supercritical CO2 injected into an aquifer 1,500 m deep with nine permanent seismic sources (surface orbital vibrators or SOVs) and five downhole fibre-optic receivers. This continuous monitoring is complemented by multi-well 4D VSP using a mobile vibroseis source and the same DAS receivers, which included one baseline and two monitor surveys after injection of 4,000 and 12,000 t of CO2. The continuous DAS-SOV monitoring detected an abrupt increase of travel times below the injection interval on the second day of injection (after injection of 300 t of CO2) and tracked the growth of the areal CO2 plume by mapping changes of reflection amplitudes. The plume is also detected by time-lapse changes of reflection amplitudes in multi-well 4D VSPs. The plume images obtained from continuous offset VSP and 4D VSP are broadly consistent with each other but with some differences due to differences in illumination, lateral variations of velocities and seismic anisotropy. These differences also serve as a measure of uncertainty of 4D VSP images
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An automated system for continuous monitoring of CO2 geosequestration using multi-well offset VSP with permanent seismic sources and receivers: Stage 3 of the CO2CRC Otway Project
A permanent automated continuous seismic CO2 geosequestration monitoring system for was installed at CO2CRC Otway Project site (Victoria, Australia) in early 2020. The system is composed of five deviated βΌ1600 m deep wells equipped with distributed acoustic sensing (DAS) acting as seismic receivers and nine seismic orbital vibrators (SOV) as seismic sources. DAS recording is performed continuously by three iDASv3 units. Each SOV operates for 2.5 h at a time, and hence all SOVs operating sequentially (during daytime only) produce in a single vintage every two days. Each vintage consists of 45 offset VSP transects covering predicted CO2 plume migration paths over βΌ0.7 km2 area. An automated data processing implemented on-site reduces data size from βΌ1.3 TB/day to βΌ500 MB/day with the results transmitted to the office daily. The repeatability analysis based on pre-injection data (acquired from May to October 2020 before the injection start in December 2020) shows that variability of SOV performance is the main source of non-repeatability while borehole measurements are stable. An SOV waveform could reach NRMS value from 20 to 100 % within a few days. However, deconvolution of the seismograms with the waveform of the direct wave reduces the repeatability to within 10β15 % NRMS