Abstract: A system and method for estimating porosity distribution in a region of interest of a geologic formation from a resistivity image log representative of the geologic formation is disclosed. A normalization factor representative of a rock matrix based on a first resistivity value and an image point factor based on a second resistivity value are calculated and compared to identify points in the resistivity image log that correspond to the secondary porosity. The normalization factor and image point factor are recalculated based on a different first resistivity value and a different second resistivity value as necessary to identify additional points in the resistivity image log that correspond to the secondary porosity until a termination criterion is met. The method may further include a porosity calibration operation and one or more artifact corrections.

Abstract: A system and method for estimating porosity distribution in a region of interest of a geologic formation from a resistivity image log representative of the geologic formation is disclosed. A normalization factor representative of a rock matrix based on a first resistivity value and an image point factor based on a second resistivity value are calculated and compared to identify points in the resistivity image log that correspond to the secondary porosity. The normalization factor and image point factor are recalculated based on a different first resistivity value and a different second resistivity value as necessary to identify additional points in the resistivity image log that correspond to the secondary porosity until a termination criterion is met. The method may further include a porosity calibration operation and one or more artifact corrections.

Abstract: A method for analyzing characteristics of a geological formation includes obtaining at a processor data representative of at least one of stratigraphic, structural, or physical characteristics of the geological formation, applying at the processor a wavelet transform to at least a portion of the obtained data or data interpreted or derived from the obtained data to derive one or more wavelet transform coefficients representative of the obtained data, segmenting at the processor at least one or more of the obtained data or data interpreted or derived from the obtained data into segments, determining at the processor a measure of variability of the obtained data or the data interpreted or derived from the obtained data over each segment at one or more scales of the wavelet transform.