Abstract
The breakouts and drilling-induced tensile fractures in borehole walls give a good estimation of the in situ stress orientation. While it is manually simple to analyze images of this nature, this task may become tedious or even impossible when a large amount of data is present. In this work we propose a novel image based analysis process to automatically guide the geologist when using images. For the interpretation of images we considered the position of the roller tool to see if the events were produced or not by the drag tool. While the analysis may be not as accurate as made with human vision, our proposed method may be used as a pre-processing stage, separating a set of regions that will be carefully treat in a manually process.
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Acknowledgments
The authors would like to acknowledge Petrobras Oil and FAPERJ (E-26/171.362/2001) for the financial supported.
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Leta, F.R., Clua, E., Biondi, M., Pacheco, T., do Socorro de Souza, M. (2013). An Automatic Process to Identify Features on Boreholes Data by Image Processing Techniques. In: Öchsner, A., Altenbach, H. (eds) Experimental and Numerical Investigation of Advanced Materials and Structures. Advanced Structured Materials, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-319-00506-5_18
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DOI: https://doi.org/10.1007/978-3-319-00506-5_18
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