Schlumberger Technology Corporation

Robert Laronga

Ram Sunder Kalyanraman

Andriy Gelman

Arnaud Jarrot

Tianhua Zhang

Yong-Hua Chen

Isabelle Le Nir

Nadege Bize-Forest

Emmanuel Bize

Generating a virtual core includes obtaining acquired data for a region of interest, determining a rock type of the region of interest, obtaining a selection of modules based on the rock type, and generating, using the acquired data and an interpolator from the modules, a wellbore image of the region of interest. The interpolator generates interpolated data between data points among the acquired data in the wellbore image. Further, using a quantifier from the plurality of modules, a core characterization of the region of interest is determined. The core characterization describes an integration of wellbore data types. Using the core characterization and the wellbore image, a digital core construction of the region of interest is generated. The digital core construction describes subterranean formation properties of the region of interest.

Method and system for generating a virtual core

The disclosure relates to a method of determining at least a property of a material situated behind a casing of a borehole, wherein an image of a imaging parameter of the material, such as acoustic impedance, has been obtained. The method comprising identifying zones of the image corresponding to disturbance zones, based in particular on values of the imaging parameters or other measured parameters, deleting the data of the imaging parameter in each of the disturbance zones, reconstructing for each zone, data of the imaging parameter from the data of imaging parameter at the neighboring zones, and determining at least a property of the material based on the reconstructed image.

Method for determining a property of a material behind a borehole casing

Image feature alignment is provided. In some implementations, a computer-readable tangible medium includes instructions that direct a processor to access a reference feature point associated with a high contrast region in a first sub-image that is associated with a first section of a borehole. Instructions are also present that direct the processor to identify several candidate feature points in a second sub-image associated with a second section of the borehole adjacent to the first section of the borehole, with each of the candidate feature points being believed to possibly be associated with the high contrast region. Additional instructions are present that direct the processor to prune the candidate feature points using global solution pruning to arrive at a matching candidate feature point in the second sub-image.

Image feature alignment

In one embodiment, a method includes receiving, via a processor, data from a plurality of imaging buttons disposed on a downhole tool within a borehole, generating, via the processor, a resistivity image, a permittivity image, a standoff curve, a rugosity index curve, a high-resolution image of a relationship between resistivity and permittivity of a section of a geological formation measured by the downhole tool, or some combination thereof based on the data, characterizing, via the processor, one or more vugs, one or more fractures, or some combination thereof based at least on the resistivity image, the permittivity image, the standoff curve, the rugosity index curve, the high-resolution image of the relationship between resistivity and permittivity, or some combination thereof, and identifying, via the processor, one or more rock types based at least on the high-resolution image of the relationship between resistivity and permittivity.

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Houston, TX, United States of America

Robert Laronga