Petrophysical model generation and uses thereof

A system comprising:

• one or more computing platforms configured to:
• segment a computed tomography (CT) image of a rock sample from a reservoir into CT slices;
• process the CT slices using a texture classifier to identify textures of the rock sample to provide texture data for each CT slice;
• receive nuclear magnetic resonance (NMR) data generated from an NMR scan of the rock sample, the NMR data characterizing relaxation times across different regions of the rock sample reflecting variations in pore sizes within the rock sample;
• segment the NMR data into intervals corresponding to a scanning interval of a portion of the rock sample scanned by an NMR device to provide NMR segments;
• analyze the NMR segments and the texture data to determine a contribution of each texture in each CT slice to one or more relaxation times in a corresponding NMR segment of the NMR segments for each CT slice;
• determine one or more petrophysical properties for each texture of each CT slice based on a determined contribution of each texture and the corresponding NMR segment for each CT slice;
• and
• generate a petrophysical model for the reservoir based on the predicted one or more petrophysical properties for each texture of each CT slice.

A system comprising:

• memory to store machine-readable instructions;
• one or more processors to access the memory and execute the machine-readable instructions, the machine-readable instructions comprising:
• a computed tomography (CT) image segmentor to segment a CT image of a rock sample from a reservoir into CT slices;
• a texture classifier to identify textures of the rock sample to provide texture data for each CT slice;
• an nuclear magnetic resonance (NMR) image segmentor to segment NMR data into intervals corresponding to a scanning interval of a portion of the rock sample scanned by an NMR device to provide NMR segments;
• a factor analyzer to analyze the NMR segments and the texture data to determine a contribution of each texture in each CT slice to one or more relaxation times in a corresponding NMR segment of the NMR segments for each CT slice;
• a calculator to determine one or more petrophysical properties for each texture of each CT slice based on a determined contribution of each texture and the corresponding NMR segment for each CT slice;
• and
• a model generator to generate a petrophysical model for the reservoir based on the predicted one or more petrophysical properties for each texture of each CT slice.