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Only one well has both core and log to allow cross-calibration.
The chapter describes how such a function is constructed for a reservoir, using both core and log data.
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Nuclear Magnetic Resonance NMRrelaxationion methods are key techniques for evaluating shales, from both cores and logging data.
These sand bodies show low gamma values and narrow N-D separations in both core photographs and logs.
The data from Well#B (152 core and log data), Well#C (91 core and log data) and Well D (40 core and log data) were used to test the model's ability to predict porosity in the oilfield.
This well was chosen because, it had the most complete set of core and log data.
In this study, the given training dataset (1046 core and log data) is sufficient and requires a supervised learning model.
The data from Well#A (1046 core and log data) were chosen to provide the training patterns.
Although core and log data have good vertical resolutions, lateral continuity cannot be extracted directly from such data.
Multiple regression analysis was performed on actual core and log data using 600 data points to develop the new correlations.
Core images were laid out side by side with logs and borehole images to enable a visual correlation between the core and log data.
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