Southwest Petroleum University, School of Electrical Engineering and Information and No. 8, Xindu Avenue, Chengdu, Sichuan, China.

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Abstract—Most of the well-logging parameter graphs were drawn on the paper before digital logging instruments were widely used in oilfield. How to keep the parameter graphs permanently and use the data implied in those curves efficiently are still open problems in the petroleum industry. In this paper, the gridlines-elimination approach is proposed to digitize well logging curves according to the characteristics of well-logging parameter graphs. Theory of morphological image processing and pixel statistics method are employed to eliminate gridlines, which isolates the curves and the gridlines with incredible effect. The remaining tiny grid lines and noise point are cleared according to the characteristics of the small size of their connected components. The X-Y coordinates of curves are obtained according to the middle position of each row of pixels in the pixel matrix of well-logging parameter graphs. Comparison with Neuralog demonstrates that the approach based on gridlines-elimination is valid and superior to Neuralog.

Index Terms—Digitization, gridlines-elimination, morphological image processing, well-logging parameter graphs.

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Cite: Bo Yuan, Qing Yang*, "Digitization of Well-Logging Parameter Graphs Based on Gridlines-Elimination Approach," Journal of Software vol. 14, no. 12, pp. 573-578, 2019.