Pub Date : 2022-12-14DOI: 10.18303/2619-1563-2022-1-88
M. Shumskayte, P. Yan, N. Golikov
The database of relaxation characteristics of core samples from the parametric well was created. It includes their main petrophysical parameters, the NMR signal and the results of its processing and interpretation. A comparative analysis of the obtained data with the results of lithological and stratigraphic analysis was carried out. Using the example of a parametric well, it is shown that NMR data can be used to quickly obtain information on the distribution of reservoir properties of core samples both along the section as a whole and separately for each suite.
{"title":"Relaxation characteristics of core samples on the example of parametric well: database of formation properties by NMR-data","authors":"M. Shumskayte, P. Yan, N. Golikov","doi":"10.18303/2619-1563-2022-1-88","DOIUrl":"https://doi.org/10.18303/2619-1563-2022-1-88","url":null,"abstract":"The database of relaxation characteristics of core samples from the parametric well was created. It includes their main petrophysical parameters, the NMR signal and the results of its processing and interpretation. A comparative analysis of the obtained data with the results of lithological and stratigraphic analysis was carried out. Using the example of a parametric well, it is shown that NMR data can be used to quickly obtain information on the distribution of reservoir properties of core samples both along the section as a whole and separately for each suite.","PeriodicalId":190530,"journal":{"name":"Russian Journal of Geophysical Technologies","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122094364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-14DOI: 10.18303/2619-1563-2022-1-118
A. A. Lapkovskaya, K. Sukhorukova, O. Nechaev, A. M. Petrov
The practice of two-dimensional inversion of electrolog signals leads to the conclusion that the results obtained to a large extent depend on the set of devices. Russian geophysical companies mainly use lateral logging (measuring by a set of gradient sondes), focusing lateral logging, high-frequency electromagnetic sounding and low-frequency induction logging, including multi-sonde tool. The article considers the possibilities of determining the parameters of permeable formations by two-dimensional inversion of synthetic signals for these tools, on the example of a geoelectric model of the Lower Cretaceous deposits in Western Siberia. The model includes permeable formations with mud filtrate invasion zones. The different starting value of the invasion depth determines the accuracy of estimating the parameters of the invaded zone by inverting the data of various sets of sonde signals.
{"title":"Reconstruction of a 2D geoelectric model by numerical inversion of galvanic and induction logging signals","authors":"A. A. Lapkovskaya, K. Sukhorukova, O. Nechaev, A. M. Petrov","doi":"10.18303/2619-1563-2022-1-118","DOIUrl":"https://doi.org/10.18303/2619-1563-2022-1-118","url":null,"abstract":"The practice of two-dimensional inversion of electrolog signals leads to the conclusion that the results obtained to a large extent depend on the set of devices. Russian geophysical companies mainly use lateral logging (measuring by a set of gradient sondes), focusing lateral logging, high-frequency electromagnetic sounding and low-frequency induction logging, including multi-sonde tool. The article considers the possibilities of determining the parameters of permeable formations by two-dimensional inversion of synthetic signals for these tools, on the example of a geoelectric model of the Lower Cretaceous deposits in Western Siberia. The model includes permeable formations with mud filtrate invasion zones. The different starting value of the invasion depth determines the accuracy of estimating the parameters of the invaded zone by inverting the data of various sets of sonde signals.","PeriodicalId":190530,"journal":{"name":"Russian Journal of Geophysical Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129141366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-14DOI: 10.18303/2619-1563-2022-1-4
M. Nikitenko, A. Mosin
A transient electromagnetic signal is recorded in an earth formation while drilling at multiple times. Data for subsequent interpretation is transmitted via a hydrochannel with a narrow bandwidth, for that reason the amount of transmitted information is limited. Therefore, data compression is an indispensable element of processing. It is important to determine what parameters and how many of them are necessary to describe the measured EMF curve. The idea is to transfer to the surface only significant parameters allowing to restore the recorded curve with a given accuracy. The paper proposes simple and fast data compression methods based on the spline approximation of the signal. Also, an orthogonal basis in the measurement space is used to describe each signal by a linear combination of vectors from this basis. We analyze transient curves and consider various magnetic field components. Numerical experiments show how many parameters are required to describe and reconstruct the signal of a deep-reading electromagnetic tool.
{"title":"Methods of transient em data compression","authors":"M. Nikitenko, A. Mosin","doi":"10.18303/2619-1563-2022-1-4","DOIUrl":"https://doi.org/10.18303/2619-1563-2022-1-4","url":null,"abstract":"A transient electromagnetic signal is recorded in an earth formation while drilling at multiple times. Data for subsequent interpretation is transmitted via a hydrochannel with a narrow bandwidth, for that reason the amount of transmitted information is limited. Therefore, data compression is an indispensable element of processing. It is important to determine what parameters and how many of them are necessary to describe the measured EMF curve. The idea is to transfer to the surface only significant parameters allowing to restore the recorded curve with a given accuracy. The paper proposes simple and fast data compression methods based on the spline approximation of the signal. Also, an orthogonal basis in the measurement space is used to describe each signal by a linear combination of vectors from this basis. We analyze transient curves and consider various magnetic field components. Numerical experiments show how many parameters are required to describe and reconstruct the signal of a deep-reading electromagnetic tool.","PeriodicalId":190530,"journal":{"name":"Russian Journal of Geophysical Technologies","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122488684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-14DOI: 10.18303/2619-1563-2022-1-110
V. Suvorov, E. V. Pavlov, E. Melnik
The results of a complex interpretation of seismic and gravity data along a part (500 km long) of the 3DV profile located in the transition zone from the Siberian Platform to the Verkhoyano-Kolyma fold system are considered. It crosses the Priverkhoyansk advanced trough, the Sette-Daban tectonic zone with access to the folded region [Tectonics…, 2001; Kashubin et al., 2016]. The structure of the crust of the eastern margin of the Siberian craton is interest, which, according to structural and tectonic criteria, belongs to the Mesozoic passive continental margin [Parfenov, 1991; Sokolov, 1991; Tectonics..., 2001] in order to find signs of superimposed folding in the structure of the Earth's crust according to seismic and gravitational data. The depth of the crystalline basement in the Priverkhoyansk trough is also debatable, depending on the nature of the rocks at a depth of 18–23 km at a velocity of 6.2–6.3 km/s, possibly belonging to the Proterozoic.
本文考虑了从西伯利亚地台到Verkhoyano-Kolyma褶皱系统过渡带3DV剖面部分(500公里长)的地震和重力数据的复杂解释结果。它穿过Priverkhoyansk推进槽，塞特-达班构造带，进入褶皱区[Tectonics…，2001];Kashubin et al.， 2016]。西伯利亚克拉通东缘地壳构造十分有趣，根据构造和构造标准，属于中生代被动大陆边缘[Parfenov, 1991;武器,1991;构造……[2001]，以便根据地震和重力数据在地壳结构中找到重叠褶皱的迹象。Priverkhoyansk槽中结晶基底的深度也有争议，这取决于岩石的性质，深度为18-23公里，速度为6.2-6.3公里/秒，可能属于元古代。
{"title":"Seismic and density signs of mesozoic folding in the earth’s crust of the eastern passive margin of the Siberian craton (profile 3DV)","authors":"V. Suvorov, E. V. Pavlov, E. Melnik","doi":"10.18303/2619-1563-2022-1-110","DOIUrl":"https://doi.org/10.18303/2619-1563-2022-1-110","url":null,"abstract":"The results of a complex interpretation of seismic and gravity data along a part (500 km long) of the 3DV profile located in the transition zone from the Siberian Platform to the Verkhoyano-Kolyma fold system are considered. It crosses the Priverkhoyansk advanced trough, the Sette-Daban tectonic zone with access to the folded region [Tectonics…, 2001; Kashubin et al., 2016]. The structure of the crust of the eastern margin of the Siberian craton is interest, which, according to structural and tectonic criteria, belongs to the Mesozoic passive continental margin [Parfenov, 1991; Sokolov, 1991; Tectonics..., 2001] in order to find signs of superimposed folding in the structure of the Earth's crust according to seismic and gravitational data. The depth of the crystalline basement in the Priverkhoyansk trough is also debatable, depending on the nature of the rocks at a depth of 18–23 km at a velocity of 6.2–6.3 km/s, possibly belonging to the Proterozoic.","PeriodicalId":190530,"journal":{"name":"Russian Journal of Geophysical Technologies","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126971128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-14DOI: 10.18303/2619-1563-2022-1-76
S. N. Ponasenko, P. Dergach, S. Yaskevich, A. Duchkov
Refinement of the geodynamic situation in the area of the Lena River delta is relevant for understanding local geological processes. Previously, source seismology for this area was provided only by remote regional seismic stations. This paper shows the results of processing data from detailed seismological observations for 2018–2021. The distribution of earthquake hypocenters and their focal mechanisms are presented. The results of processing largely confirm the a priori geological data and do not contradict the results of regional observations. The accumulation of earthquakes in the area of the Kharaulakh Range most likely refers to the Primorsky Fault, which extends along the coast of the Bykovskaya channel. According to geological studies, the Primorsky Fault is a fault, which is confirmed by the focal mechanisms of earthquake sources in this area.
{"title":"Results of local seismological monitoring in the Lena delta region","authors":"S. N. Ponasenko, P. Dergach, S. Yaskevich, A. Duchkov","doi":"10.18303/2619-1563-2022-1-76","DOIUrl":"https://doi.org/10.18303/2619-1563-2022-1-76","url":null,"abstract":"Refinement of the geodynamic situation in the area of the Lena River delta is relevant for understanding local geological processes. Previously, source seismology for this area was provided only by remote regional seismic stations. This paper shows the results of processing data from detailed seismological observations for 2018–2021. The distribution of earthquake hypocenters and their focal mechanisms are presented. The results of processing largely confirm the a priori geological data and do not contradict the results of regional observations. The accumulation of earthquakes in the area of the Kharaulakh Range most likely refers to the Primorsky Fault, which extends along the coast of the Bykovskaya channel. According to geological studies, the Primorsky Fault is a fault, which is confirmed by the focal mechanisms of earthquake sources in this area.","PeriodicalId":190530,"journal":{"name":"Russian Journal of Geophysical Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127287577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-14DOI: 10.18303/2619-1563-2022-1-17
K. V. Suhorukova, S. V. Ananyev, A. M. Petrov, O. Nechaev
A low resistivity annulus appearing near the well due to reservoir fluid displacement by mud filtrate is a reliable indicator of movable oil presence in the reservoir. In practical cases estimation of low resistivity annulus parameters is possible based on high-frequency induction logging data analysis. When interpreting practical data of other resistivity logging methods its influence on signals is usually not taken into account. The paper discusses the results of the 5IK and VIKIZ logs numerical simulation which substantiate the possibility of identifying low resistivity annulus according to multi-probe low-frequency induction logging in geoelectric conditions typical for the Cretaceous mixed-saturation reservoirs of the Imilorskoye oilfield.
{"title":"Multi-probe low-frequency induction log and high-frequency induction log if the reservoir contains the low resistivity annulus zone","authors":"K. V. Suhorukova, S. V. Ananyev, A. M. Petrov, O. Nechaev","doi":"10.18303/2619-1563-2022-1-17","DOIUrl":"https://doi.org/10.18303/2619-1563-2022-1-17","url":null,"abstract":"A low resistivity annulus appearing near the well due to reservoir fluid displacement by mud filtrate is a reliable indicator of movable oil presence in the reservoir. In practical cases estimation of low resistivity annulus parameters is possible based on high-frequency induction logging data analysis. When interpreting practical data of other resistivity logging methods its influence on signals is usually not taken into account. The paper discusses the results of the 5IK and VIKIZ logs numerical simulation which substantiate the possibility of identifying low resistivity annulus according to multi-probe low-frequency induction logging in geoelectric conditions typical for the Cretaceous mixed-saturation reservoirs of the Imilorskoye oilfield.","PeriodicalId":190530,"journal":{"name":"Russian Journal of Geophysical Technologies","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132518333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-14DOI: 10.18303/2619-1563-2022-1-99
K. Gadylshina, V. Lisitsa, D. Vishnevsky, K. Gadylshin
The article describes a new approach to seismic modeling that combines calculations using traditional finite difference methods with the deep learning tools. Seismograms for the training data set are calculated using a finite difference scheme with high-quality spatial and temporal discretization. A numerical dispersion mitigation neural network is trained on the training dataset and applied to inaccurate seismograms calculated on a raw grid with a large spatial spacing. The paper presents a demonstration of this approach for 2D model; it is showing a tenfold acceleration of seismic modeling.
{"title":"Deep neural network reducing numerical dispersion for post-processing of seismic modeling results","authors":"K. Gadylshina, V. Lisitsa, D. Vishnevsky, K. Gadylshin","doi":"10.18303/2619-1563-2022-1-99","DOIUrl":"https://doi.org/10.18303/2619-1563-2022-1-99","url":null,"abstract":"The article describes a new approach to seismic modeling that combines calculations using traditional finite difference methods with the deep learning tools. Seismograms for the training data set are calculated using a finite difference scheme with high-quality spatial and temporal discretization. A numerical dispersion mitigation neural network is trained on the training dataset and applied to inaccurate seismograms calculated on a raw grid with a large spatial spacing. The paper presents a demonstration of this approach for 2D model; it is showing a tenfold acceleration of seismic modeling.","PeriodicalId":190530,"journal":{"name":"Russian Journal of Geophysical Technologies","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132015084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-11DOI: 10.18303/2619-1563-2021-4-36
E. Kasatkina, T. Stupina, I. Koulakov
Volcanoes are the most rapidly changing and difficult to study geological features. Identifying physical signatures of processes occurring during seismic and volcanic activity is one of the most important problem in seismology. Here we reveal temporal changes of seismic velocity in the upper crust for two years of eruption activity of the Redoubt volcano. Based on correlation of continuous records of seismic noise at pairs of stations, we obtained correlograms for selected time periods. Using the stretching method, we obtained relative velocity changes between stations. These variations appear to be consistent with the results of repeated tomography that was previously derived based on body waves from local earthquakes.
{"title":"Research of the seismic velocity variation under the Redoubt volcano","authors":"E. Kasatkina, T. Stupina, I. Koulakov","doi":"10.18303/2619-1563-2021-4-36","DOIUrl":"https://doi.org/10.18303/2619-1563-2021-4-36","url":null,"abstract":"Volcanoes are the most rapidly changing and difficult to study geological features. Identifying physical signatures of processes occurring during seismic and volcanic activity is one of the most important problem in seismology. Here we reveal temporal changes of seismic velocity in the upper crust for two years of eruption activity of the Redoubt volcano. Based on correlation of continuous records of seismic noise at pairs of stations, we obtained correlograms for selected time periods. Using the stretching method, we obtained relative velocity changes between stations. These variations appear to be consistent with the results of repeated tomography that was previously derived based on body waves from local earthquakes.","PeriodicalId":190530,"journal":{"name":"Russian Journal of Geophysical Technologies","volume":"58 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126064618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-11DOI: 10.18303/2619-1563-2021-4-47
I. N. Zligostev, M. Epov, A. V. Savluk
The article describes the use of a vector ferromagnetic magnetometer placed on an unmanned aerial vehicle (UAV). It is shown that solving inverse problems of magnetic prospecting for a vector aeromagnetic survey makes it possible to identify areas with different magnetization. We present a simple, based on standard libraries, software product for processing primary data of three-component fluxgate magnetometers, which allows correctly selecting the magnetic induction vector components when performing magnetic UAV surveys. To build maps, a method for graphical display of a vector field is proposed. On the example of a man-made object, we demonstrate that vector fields measured at different heights provide significantly more information than conventional electromagnetic induction measurements.
{"title":"On the measurement of the magnetic induction vector with the use of a three-component magnetometer placed on a mobile carrier","authors":"I. N. Zligostev, M. Epov, A. V. Savluk","doi":"10.18303/2619-1563-2021-4-47","DOIUrl":"https://doi.org/10.18303/2619-1563-2021-4-47","url":null,"abstract":"The article describes the use of a vector ferromagnetic magnetometer placed on an unmanned aerial vehicle (UAV). It is shown that solving inverse problems of magnetic prospecting for a vector aeromagnetic survey makes it possible to identify areas with different magnetization. We present a simple, based on standard libraries, software product for processing primary data of three-component fluxgate magnetometers, which allows correctly selecting the magnetic induction vector components when performing magnetic UAV surveys. To build maps, a method for graphical display of a vector field is proposed. On the example of a man-made object, we demonstrate that vector fields measured at different heights provide significantly more information than conventional electromagnetic induction measurements.","PeriodicalId":190530,"journal":{"name":"Russian Journal of Geophysical Technologies","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128600413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-10DOI: 10.18303/2619-1563-2021-4-16
V. Kontorovich, Yu. F. Philippov
A comprehensive analysis of geophysical data was carried out and a model of the deep structure of the Yenisei–Khatanga regional trough was constructed. A distinct platform appearance of the Neoproterozoic-Paleozoic sediments, the synchronous occurrence of ancient and Mesozoic sedimentary complexes in the axial most submerged part of the Yenisei–Khatanga linear depression. A wide territorial distribution of trap magmatism was revealed, which is not localized in the linear structure of the trough. It is concluded that the formation of the Yenisei-Khatanga regional trough is not associated with the Late Permian–Early Triassic rifting.
{"title":"Formation conditions and geological structure of the Yenisei-Khatanga regional through","authors":"V. Kontorovich, Yu. F. Philippov","doi":"10.18303/2619-1563-2021-4-16","DOIUrl":"https://doi.org/10.18303/2619-1563-2021-4-16","url":null,"abstract":"A comprehensive analysis of geophysical data was carried out and a model of the deep structure of the Yenisei–Khatanga regional trough was constructed. A distinct platform appearance of the Neoproterozoic-Paleozoic sediments, the synchronous occurrence of ancient and Mesozoic sedimentary complexes in the axial most submerged part of the Yenisei–Khatanga linear depression. A wide territorial distribution of trap magmatism was revealed, which is not localized in the linear structure of the trough. It is concluded that the formation of the Yenisei-Khatanga regional trough is not associated with the Late Permian–Early Triassic rifting.","PeriodicalId":190530,"journal":{"name":"Russian Journal of Geophysical Technologies","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132856010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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