Switch to: References

Add citations

You must login to add citations.
  1. Results of Downhole Microseismic Monitoring at a Pilot Hydraulic Fracturing Site in Poland — Part 2: S-Wave Splitting Analysis.Wojciech Gajek, Michał Malinowski & James P. Verdon - 2018 - Interpretation: SEG 6 (3):SH49-SH58.
    Observations of azimuthal seismic anisotropy provide useful information, notably on stress orientation and the presence of preexisting natural fracture systems, during hydraulic fracturing operations. Seismic anisotropy can be observed through the measurement of S-wave splitting on waveforms generated by microseismic events and recorded on downhole geophone arrays. We have developed measurements of azimuthal anisotropy from a Lower Paleozoic shale play in northern Poland. The observed orthorhombic anisotropic symmetry system is dominated by a vertically transverse isotropy fabric, produced by the alignment (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  • Results of the Downhole Microseismic Monitoring at a Pilot Hydraulic Fracturing Site in Poland — Part 1: Event Location and Stimulation Performance.Wojciech Gajek, Jacek Trojanowski, Michał Malinowski, Marek Jarosiński & Marko Riedel - 2018 - Interpretation: SEG 6 (3):SH39-SH48.
    A precise velocity model is necessary to obtain reliable locations of microseismic events, which provide information about the effectiveness of the hydraulic stimulation. Seismic anisotropy plays an important role in microseismic event location by imposing the dependency between wave velocities and its propagation direction. Building an anisotropic velocity model that accounts for that effect allows for more accurate location of microseismic events. We have used downhole microseismic records from a pilot hydraulic fracturing experiment in Lower-Paleozoic shale gas play in the (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  • Brittleness Prediction for the Lower Paleozoic Shales in Northern Poland.Marta Cyz, Marta Mulińska, Radomir Pachytel & Michał Malinowski - 2018 - Interpretation: SEG 6 (3):SH13-SH23.
    We have tested brittleness prediction by integrating well and 3D seismic data using machine learning for Lower Paleozoic shales from the Baltic Basin in northern Poland. The workflow allowed for differentiation of the brittle and ductile zones of the thin shale layers, as well as mapping of the marly formation with superior resolution as compared with the resolution of the original input seismic data. The important part of the success was the appropriate definition of the mineralogical brittleness index tailored to (...)
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   3 citations