Abstract
The responses of logging-while-drilling (LWD) electromagnetic resistivity logging in horizontal wells are usually complex due to the effect of the strong heterogeneity and anisotropy of the shale oil reservoir. Therefore, the qualitative interpretation and quantitative evaluation of such data are still challenging. To this end, a correction method is developed for the LWD resistivity logging data acquired from a horizontal well for the shale oil reservoir. First, the electrical interpretation model, which considers the formation resistivity properties and various mud types, is established to accommodate the shale oil formation and horizontal well environment. The effects of the borehole on the measured signals, that is, phase shift and attenuation ratio, are simulated. The relationship between the complicated tool and point source responses in a homogeneous medium is established to suppress these effects. The point-by-point real-time anisotropy correction method is developed for the LWD resistivity data from thick beds based on this borehole correction process and the analytical algorithm. The boundary positions and relative dipping information for the thin formations should be obtained from the mapping logging data. Finally, the horizontal and vertical resistivities of each layer are extracted using the one-dimensional (1D) formation model in association with the gradient optimization algorithm. Numerical results show that the LWD resistivity data after the borehole correction can be simplified to 1D, laying the foundations for the fast data process. Moreover, the horizontal and vertical resistivities of shale oil beds are accurately determined using the anisotropy correction of LWD resistivity data from horizontal wells, thereby providing reliable electrical parameters for the interpretation and quantitative evaluation of the shale oil reservoir.
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Acknowledgments
This work was supported by the Forward-looking Fundamental Major Science and Technology Project of “14th Five-Year Plan” of China National Petroleum Corporation, “Research on Horizontal Well Logging Processing Technology” (Grant No. 2021DJ4001), the PetroChina Innovation Foundation (Grant No. 2020D-5007-0304) and the Fundamental Research Funds for the Central Universities (Grant Nos. 21CX06005A and 22CX01001A-2).
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Yingming Liu, Ph.D., received his B.S. and M.S. degrees in geophysics from China University of Geosciences (Beijing) in 2005 and 2008. He received his Ph.D. degree in geodetection and information technology from the Research Institute for Petroleum Exploration and Development (RIPED) in 2011. He is currently a senior engineer at RIPED. His main research interests are logging data processing and software development.
Lei Wang received his B.S. and Ph.D. degrees in exploration geophysics from the China University of Petroleum (UPC) in 2012 and 2018, respectively. He is currently an Associate Professor with UPC. His research interests include the electromagnetic detection in wells, fast forward and inversion technology and geosteering while drilling.
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Liu, YM., Wang, L., Wang, CZ. et al. Corrections of logging-while-drilling electromagnetic resistivity logging data acquired from the horizontal well for the shale oil reservoir. Appl. Geophys. 20, 9–19 (2023). https://doi.org/10.1007/s11770-022-0954-2
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DOI: https://doi.org/10.1007/s11770-022-0954-2