Systems and methods for determining a continuous grain size log from a collection of petrographic thin section images are provided. Thin section images from core samples from one or more wells may be obtained and analyzed to estimate grain sizes. Using wireline logs from the one or more wells and the estimated grain sizes, a data structure (for example, a database) of grain sizes and wireline logs at depths may be constructed. The data structure may be used to train a machine learning model. Next, a wireline tool may be used to obtain wireline logs in a new well, and a continuous grain size log may be determined from the wireline logs of using the machine learning model. Computer-readable media for determining reservoir rock grain sizes from a collection of petrographic thin section images is also provided.

Systems, methods, devices, and circuitries are provided for determining a material property. In one embodiment, a measurement device includes analysis circuitry and indicia circuitry. The analysis circuitry is configured to determine a sample thermal property value of a material sample; determine an environmental characteristic value; identify a range of environmental characteristic values mapped to the sample thermal property value; determine a suitability result corresponding to a suitability of the material sample to the environmental characteristic value based on whether the environmental characteristic value falls within the identified range of environmental characteristic values. The indicia circuitry is configured to communicate the suitability result.

A method is described for training a model that refines estimated parameter values within core images is disclosed. The method includes receiving multiple training image pairs wherein each training image pair includes: (i) an unrefined core image of a rock sample to be used for estimating rock properties, and (ii) a refined core image of the same rock sample; generating a training dataset from the multiple training image pairs; receiving an initial core model; generating a conditioned core model by training, using the multiple training image pairs, the initial core model; and storing the conditioned core model in electronic storage. The conditioned core model may be applied to an initial target core image data set to generate a refined target sore image dataset. The method may be executed by a computer system.

A method for determining the pore size distribution in a reservoir, including the steps: drilling a core sample out of the reservoir, determining a porosity distribution along the core sample, obtaining T.sub.2-distributions at different saturation levels of the core sample with formation brine, performing time domain subtraction on the T.sub.2-distributions to obtain T.sub.2-distributions at all saturation levels, determining the pore throat size distribution along the core sample, determining first porosities from the T.sub.2-distributions that correspond to second porosities of the pore throat size distribution for each saturation level, determining T.sub.2-distributions at the first porosities from the T.sub.2-distributions, determining pore throat sizes at the second porosities from the pore throat size distributions, plotting the pore throat sizes as function of the relaxation times T.sub.2 to obtain the surface relaxation, and determining the pore size distribution of the reservoir.

A method of measuring petrophysical information from a crushed porous media including performing one or more NMR measurements on the porous media fully submerged in an NMR visible fluid, performing one or more NMR measurements on the porous media alone following centrifugation, performing one or more NMR measurements on the porous media after rinsing with a NMR invisible fluid, and analyzing the NMR measurements to extract a petrophysical property.

Provided are techniques for developing a hydrocarbon reservoir that include: determining a reservoir model of a hydrocarbon reservoir that includes columns of gridblocks that represent a vertical segment of the reservoir; acquiring nano-images of a rock sample of the reservoir; determining, based on the nano-images, properties of an inorganic pore network and an organic pore network of the rock sample; generating a divided reservoir model of the reservoir that represents the inorganic and organic pore networks of the reservoir, including: for each of the columns of gridblocks, dividing each of the gridblocks of the column into: a water-wet gridblock associated with the properties of the inorganic pore network determined based on the nano-images; and an oil-wet gridblock associated with the properties of the organic pore network determined based on the nano-images; and generating, using the divided reservoir model, a simulation of the hydrocarbon reservoir.

A system can include a filter assembly with a filter and a substance in the filter assembly, and at least one optical computing device having an integrated computational element which receives electromagnetic radiation from the substance. A method can include receiving electromagnetic radiation from a substance in a filter assembly, the electromagnetic radiation from the substance being received by at least one optical computing device having an integrated computational element, and the receiving being performed while a filter is positioned in the filter assembly. A detector may receive electromagnetic radiation from the integrated computational element and produce an output correlated to a characteristic of the substance. A mitigation technique may be selected, based on the detector output.

The effect of drilling fluids on particular subterranean environments can be analyzed to improve the formation of drilling fluids and additives such as lost circulation materials. A plug can be generated by a particle plugging apparatus by injecting lost circulation material into the particle plugging apparatus. A set of tests to be performed on the plug can be identified. The set of tests can include at least one physical test and at least one electronic test. A test schedule indicating the order in which each test of the set of tests is to be performed can be defined. The set of tests can be executed to generate a testing output. The testing output can be used to generate a three-dimensional network model of the plug.

A face mask or a sample of air-permeable sheet material thereof is moved through a chamber containing a stationary particle-imbedded aerosol. A drive mechanism is preferably operatively connected to a mask holder or supporting shuttle for sliding the shuttle and the mask material along a linear path or a circular path. An aerosol supply and a photodetector are connected to a container that defines the chamber and communicate with the chamber.

A method of making a portion of a microfluidic channel includes lithographically patterning a first pattern into a first layer of photoresist disposed on a substrate, the first pattern representative of morphology of a reservoir rock; etching the first pattern into the substrate to form a patterned substrate; disposing a second layer of photoresist onto the patterned substrate; lithographically patterning a second pattern into the second layer of photoresist to reveal portions of the patterned substrate; and depositing calcite onto the exposed portions of the patterned substrate.