Print Email Facebook Twitter Quantitative imaging of fractures around a borehole using linear slip theory and elastic least-squares migration Title Quantitative imaging of fractures around a borehole using linear slip theory and elastic least-squares migration Author Minato, S. (TU Delft Applied Geophysics and Petrophysics; OYO Corporation) Ghose, R. (TU Delft Applied Geophysics and Petrophysics) Wapenaar, C.P.A. (TU Delft Applied Geophysics and Petrophysics; TU Delft ImPhys/Acoustical Wavefield Imaging) Date 2019 Abstract Single-well reflection imaging using sonic logging data successfully locates fine-scale structures around a borehole including fractures. In order to achieve accurate and quantitative estimation of fracture properties with high resolution, we propose to couple least-squares migration with linear slip theory. The proposed least-squares migration solves linearized waveform inversion where the wavefield is approximated using a Born operator incorporating a linear slip boundary condition. Representing a fracture as a linear slip interface is advantageous in accurate seismic wave modeling and efficient estimation of fracture properties. We derive conventional elastic least-squares migration for imaging perturbations in elastic constants, and new elastic least-squares migration for imaging fracture compliances. The two formulations are tested using numerical modeling where a dipping fracture is embedded in random background medium. The results show that least-squares migration generally produces higher resolution images for both SH and P-SV wavefields than using adjoint operators. Furthermore, it shows the potential of quantitative estimation of fracture compliances which can be further used in interpreting fracture properties, e.g., fracture infill material and surface condition. The proposed approach, therefore, will be crucial in fracture characterization around a borehole. Subject fracturesinversionborehole geophysicsreflection To reference this document use: http://resolver.tudelft.nl/uuid:df45b654-83f4-4489-8465-07552880315a DOI https://doi.org/10.1190/segam2019-3213991.1 Publisher SEG Source SEG Technical Program Expanded Abstracts 2019 Event SEG International Exposition and Annual Meeting 2019, 2019-09-15 → 2019-09-20, San Antonio, , United States Part of collection Institutional Repository Document type conference paper Rights © 2019 S. Minato, R. Ghose, C.P.A. Wapenaar Files PDF SEG2019_Minato_LSM.pdf 1.74 MB Close viewer /islandora/object/uuid:df45b654-83f4-4489-8465-07552880315a/datastream/OBJ/view