Abstract: The present disclosure provides techniques to identify and remove noise that is not relevant to a particular evaluation, and/or to identify and evaluate characteristics of multiple acoustic sources. This is true when evaluations are made that assess the quality of a wellbore, whether that wellbore is currently in a production phase or not. For example, noises associated with removing hydrocarbons from a wellbore, sequestering carbon dioxide in a wellbore, or with hydraulic fracturing may be indicative of normal wellbore operation. Other noises, however, may be indicative of wellbore defects. While methods of the present disclosure may be implemented in wellbores, methods of the present disclosure are not limited to wellbore environments. Methods of the present disclosure may be used to remove noises made by certain types of sound sources such that noises made by other types of sound sources may be evaluated when actions associated with those noises are identified.

Abstract: A method includes imaging, at an imaging resolution, a core of a subsurface formation to create a core image and iteratively performing the following operations until a defined feature of a rock of the subsurface formation exceeds a viewable image feature threshold: extracting a number of subsamples from the core for a first iteration and from each of the number of subsamples previously extracted for a subsequent iteration; increasing the imaging resolution; and imaging each subsample. The method includes performing the following operations for the subsamples last extracted: determining at least one formation property characteristic; determining a guiding rock property for each voxel of the core image and the number of subsample images; and determining a subsample that is a shortest distance to the voxel based on the number of guiding rock properties; and mapping, for each voxel, the at least one formation property characteristic that is the shortest distance.

Abstract: The disclosure provides an approach, or workflow, that extrapolates a segmentation carried out on a formation image into the labelling of fractures. The workflow can be applied to 2D and 3D images, which can be generated by different imaging technologies. Advantageously, one or more steps of the workflow can be performed automatically. An example of the workflow includes: (1) distinguishing fractures identified in a formation image from a background of the formation image by applying an entropy filter, wherein the formation image has elements that are defined as either fracture elements or non-fracture elements and entropy values for the elements are generated by the applying of the entropy filter, and (2) identifying the fracture elements that correspond to the fractures by solving a diffusion equation, wherein the entropy values are used as a diffusivity field for solving the diffusing equation and the fracture elements are used as a source.

Abstract: A method is provided. Cells of a digital model of a formation are classified corresponding with one or more classes based on minerals and/or pore sizes. Wettability of the formation in the digital model is calibrated based on imbibition and/or drainage curves from physical experimentation for a rock sample and the one or more classes of the cells of the digital model.

Abstract: The disclosure provides an approach, or workflow, that extrapolates a segmentation carried out on a formation image into the labelling of fractures. The workflow can be applied to 2D and 3D images, which can be generated by different imaging technologies. Advantageously, one or more steps of the workflow can be performed automatically. An example of the workflow includes: (1) distinguishing fractures identified in a formation image from a background of the formation image by applying an entropy filter, wherein the formation image has elements that are defined as either fracture elements or non-fracture elements and entropy values for the elements are generated by the applying of the entropy filter, and (2) identifying the fracture elements that correspond to the fractures by solving a diffusion equation, wherein the entropy values are used as a diffusivity field for solving the diffusing equation and the fracture elements are used as a source.

Abstract: A method is provided. Cells of a digital model of a formation are classified corresponding with one or more classes based on minerals and/or pore sizes. Wettability of the formation in the digital model is calibrated based on imbibition and/or drainage curves from physical experimentation for a rock sample and the one or more classes of the cells of the digital model.

Abstract: A method includes imaging, at an imaging resolution, a core of a subsurface formation to create a core image and iteratively performing the following operations until a defined feature of a rock of the subsurface formation exceeds a viewable image feature threshold: extracting a number of subsamples from the core for a first iteration and from each of the number of subsamples previously extracted for a subsequent iteration; increasing the imaging resolution; and imaging each subsample. The method includes performing the following operations for the subsamples last extracted: determining at least one formation property characteristic; determining a guiding rock property for each voxel of the core image and the number of subsample images; and determining a subsample that is a shortest distance to the voxel based on the number of guiding rock properties; and mapping, for each voxel, the at least one formation property characteristic that is the shortest distance.