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Wyszukujesz frazę "Swiech, E." wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Seismic modelling as a tool for optimization of downhole microseismic monitoring array
Autorzy:
Pasternacki, A.
Święch, E.
Maćkowski, T.
Powiązania:
https://bibliotekanauki.pl/articles/184420.pdf
Data publikacji:
2016
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
gas accumulation
shale formation
detection
Opis:
Hydraulic fracturing processes employed to release natural gas accumulations trapped in shale formation causes cracks in fractured media occurred as microseismic events. Those events can be detected with either surface or downhole monitoring technique. One of the advantages of downhole microseismic monitoring technique is the relative high detection moment magnitude threshold, compared to surface and quasi surface arrays (Maxwell 2014). The epicenters of detected microseismic events are located with certain accuracies (Eisner et al. 2010). The uncertainties in location are mainly caused by simplification of a very complex geological structure, geometry of the monitoring network, arrival time pick uncertainty and naturally selected processing method. The correct assessment of macroseismic events locations with their uncertainties is the key to proper interpretation of the results. In this study, authors present an analysis of optimizing geometry of the downhole microseismic monitoring array minimalizing location error and taking into account level of detectability. To achieve this goal, several different downhole array geometries were tested. The study is located in Northern Poland where active exploration of shale gas deposits takes place. In the investigated area three wells are located, one vertical (W-1) and two horizontal, which have been drilled in the same azimuths but different direction and slightly different depths (W3H – deeper and W2Hbis – shallower). As there is possibility that these wells will be stimulated in close period of time, the chosen array placed in the monitoring well should be optimal for depths. As Eisner stated in his work, best downhole array should have to consist of 3C sensors placed below and above of the planed depths of stimulation to reduce uncertainty of the event locations (Eisner et al. 2009). Both treatment wells have relatively high horizontal distance, which results with high distance between receivers and possible events (in ranges between 500 m to 1700 m), which is quite high compared to literature examples (Warpiński & Natl 1994). To perform this analysis, GeoTomo MiVu TM Microseismic Processing System was used, which includes a Vecon modeling engine. This software has been granted to AGH UST for research and educational purposes. The passive seismic modelling was done with GRTM method (generalized reflection transmission coefficients) (Kennet 1980). This kind of mixed procedure is relatively fast to perform and allows checking many different configurations of downhole array. Based on the 3D seismic survey provided by PGNiG in the investigated area authors have decided to use simple layered velocity model which sufficiently describes the local geological conditions. The synthetic microseismic events were located using TGS (Traveltime Grid Search) algorithm available in MiVu software. Based on presented analysis authors were able to choose optimal geometry of downhole micro seismic array for both prospective intervals which fulfill condition of being good compromise between costs and location accuracy of possible events.
Źródło:
Geology, Geophysics and Environment; 2016, 42, 1; 112-113
2299-8004
2353-0790
Pojawia się w:
Geology, Geophysics and Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of solutions for microseismic focal mechanism estimation
Autorzy:
Wandycz, P.
Święch, E.
Pasternacki, A.
Powiązania:
https://bibliotekanauki.pl/articles/184552.pdf
Data publikacji:
2016
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
stress condition
strain conditions
subsurface
Opis:
One of the major advantages of microseismic data, recorded during hydraulic fracturing of prospective shale intervals is ability to use both P and S wave in the analysis, not only to determine epicentral locations of events but also to describe source itself. The information about the mechanisms of located microseismic events allows better understanding of in situ stress and strain conditions and the local subsurface geomechanical properties and forces (Kamei et al. 2015). As Duncan stated in his work, a proper characterization of the observed events mechanisms is the key to understand radiation pattern of the signals in the investigated area (Duncan & Eisner 2010). Moreover, an understanding of the nature of the rock failure supports reservoir simulation models and stimulated reservoir volume estimates (Kratz & Thorton 2016). Proper assessment of event strike, dip and rake provides the geometry of the fracture plane assuming double couple focal mechanism, while full moment tensor inversion provides information about shear and tensile nature of the calculated mechanisms. The common method to obtain reliable focal mechanisms of observed microseismic events is decomposing of the full moment tensor. Seismic moment tensor is powerful tool which provides a general mathematical solution of sources that can be used to distinguish between various types of microseismic events. The method comes to reliably estimation of the six independent components of a full moment tensor by lestsquares inversion (Eaton & Forouhideh 2010). The motivation for this analysis was to determine microseismic focal mechanisms based on P – wave peak amplitude, P and S – waves peak amplitudes and S – wave peak amplitude only to estimate the differences and uncertainties between these three different solutions. Furthermore authors decided to check how the mechanisms changes with different geometries of downhole monitoring array. In this study only synthetic data computed in MiVu GeoTomo software using raytracing method and simple layered velocity model were used. The mentioned velocity model was constructed based on well logs data delivered by PGNiG from measurements done in Northern Poland where active exploration of shale gas takes place. In this analysis authors focused only on double couple (DC) and compensated linear vector dipole (CLVD) mechanisms which are two most common types of microseismic focal mechanisms occur during hydraulic fracturing of shale deposits. Performed analysis proved that the best and most consistent results with the lowest uncertainties reflected in the condition number parameter can be obtained by using both P and S peak amplitudes.
Źródło:
Geology, Geophysics and Environment; 2016, 42, 1; 137-138
2299-8004
2353-0790
Pojawia się w:
Geology, Geophysics and Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Selected effects of VTI anisotropy on downhole microseismic data
Autorzy:
Święch, E.
Pasternacki, A.
Maćkowski, T.
Powiązania:
https://bibliotekanauki.pl/articles/184563.pdf
Data publikacji:
2016
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
shale gas
sedimentary rock
petroleum
Opis:
Shale gas is one of the well-known unconventional resources of natural gas all over the world. This term refers to natural gas that is trapped within shale formations. Shales are fine – grained sedimentary rocks which can be reach resources of both petroleum and natural gas. This sedimentary rocks are heavily layered and in their nature exhibit VTI velocity anisotropy behavior (Van Dok et al. 2011). This statement indicates that the world among us is not isotropic and we should not neglect this fact in our geophysical research. Anisotropy, in general is the property of the material. It can be described as the attribute of a material’s property with respect to the direction in which it is measured (Pereira & Jones 2010). There are two essential types of anisotropy: VTI and HTI. Vertical velocity layering gives rise to VTI (vertical transverse isotropy) velocity in which seismic wave velocity is faster in the horizontal direction than in the vertical one. The second type of isotropy is horizontal transverse isotropy (HTI) which causes azimuthal traveltime variations. The common mechanism for this type of anisotropy is vertical aligned fractures in an isotropic background medium (Jenner 2011.) Authors of this study focused mostly on VTI as this type of anisotropy is present in shale formations, as a result of small scaled heterogeneities from fine layering (Thomsen 1986). The VTI anisotropy can be mathematically described by using three Thomsen parameters: epsilon, delta and gamma. Epsilon is a measure of the difference between the horizontal and vertical propagation velocities for compressional waves. Gamma parameter is a measure of the difference in the horizontal and vertical propagation velocities for horizontally polarized shear waves (SH waves). Delta parameter is not easily described either mathematically or qualitatively (Pereira & Jones 2010), but it influences the anisotropy velocities in medium incidence angles. These parameters can be mathematically expressed by equations proposed by Leon Thomsen (Thomsen 1986). In this study, authors present influence of VTI anisotropy on microseismic data recorded during hydraulic fracturing of shale intervals in one of the well located in Northern Poland. Authors points out how the anisotropy affects on microseismic events location, locating them in isotropic and anisotropic velocity models with usage of TGS algorithm. Furthermore, authors indicate possible solution to estimate VTI parameters based on microseismic data. VTI anisotropy parameters plays critical role not only in case of microseismic data analysis but also in processing of active seismic data. Authors proved that VTI anisotropy present in the investigated area has strong influence on microseismic events location especially in depth. Moreover estimation of VTI anisotropy parameters based on microseismic data with usage of Thomsen equations is possible.
Źródło:
Geology, Geophysics and Environment; 2016, 42, 1; 131-132
2299-8004
2353-0790
Pojawia się w:
Geology, Geophysics and Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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