Method to quantify discrete pore shapes, volumes, and surface areas using confocal profilometry
First Claim
1. A method for characterizing a sample of porous media using at least one measuring device along with a multipoint statistical (MPS) model, the method comprising:
- a) retrieving one or more set of reflected measured data provided by the at least one measuring device of at least one portion of a surface of the sample in order to produce a sample imaging log, wherein the retrieved one or more set of measured data is communicated to a processor;
b) using at least one noise reduction algorithm to identify noise data in the retrieved one or more set of measured data so that the identified noise data is one of removed from the retrieved one or more set of measured data, replaced with null values or both;
c) selecting depth-defined surface portions of the sample from the sample imaging log as a training image for inputting in the MPS model;
d) determining pattern based simulations from the training image using one of a pixel-based template which is applied to the training image;
e) constructing from the pattern based simulations one or more complete-sampling image logs of surface portions of the sample; and
f) repeat steps (b) to (e) through the one or more logged surface portions in order to construct three dimensional (3D) sample images from stacked successive pattern based simulations so as to construct at least one 3D model of the sample.
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Abstract
Methods for characterizing a sample of porous media using a measuring device along with a multipoint statistical (MPS) model. Retrieving a set of reflected measured data provided by the measuring device of a surface of the sample in order to produce a sample imaging log, wherein the retrieved set of measured data is communicated to a processor. Selecting depth-defined surface portions of the sample from the sample imaging log as a training image for inputting in the MPS model. Determining pattern based simulations from the training image using one of a pixel-based template which is applied to the training image. Constructing from the pattern based simulations a complete-sampling image log of surface portions of the sample. Repeat the above steps in order to construct three dimensional (3D) sample images from stacked successive pattern based simulations so as to construct at least one 3D model of the sample.
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Citations
21 Claims
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1. A method for characterizing a sample of porous media using at least one measuring device along with a multipoint statistical (MPS) model, the method comprising:
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a) retrieving one or more set of reflected measured data provided by the at least one measuring device of at least one portion of a surface of the sample in order to produce a sample imaging log, wherein the retrieved one or more set of measured data is communicated to a processor; b) using at least one noise reduction algorithm to identify noise data in the retrieved one or more set of measured data so that the identified noise data is one of removed from the retrieved one or more set of measured data, replaced with null values or both; c) selecting depth-defined surface portions of the sample from the sample imaging log as a training image for inputting in the MPS model; d) determining pattern based simulations from the training image using one of a pixel-based template which is applied to the training image; e) constructing from the pattern based simulations one or more complete-sampling image logs of surface portions of the sample; and f) repeat steps (b) to (e) through the one or more logged surface portions in order to construct three dimensional (3D) sample images from stacked successive pattern based simulations so as to construct at least one 3D model of the sample. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A method for characterizing a sample of porous media to identify flow properties of the sample whereby flow simulation models are generated from one or more set of reflected measured data provided by at least one measuring tool in combination with a multipoint statistical (MPS) model, the method comprising:
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a) retrieving the one or more set of reflected measured data which includes data of at least one portion of a surface of the sample so as to produce a sample imaging log, wherein the retrieved one or more set of measured data is communicated to a processor; b) using at least one noise reduction algorithm to identify noise data in the retrieved one or more set of measured data so that the identified noise data is one of removed from the retrieved one or more set of measured data, replaced with null values or both; c) selecting depth-defined surface portions of the sample from the sample imaging log as a training image for inputting in the MPS model; d) determining pattern based simulations from the training image using one of a pixel-based template which is applied to the training image; e) constructing from the pattern based simulations one or more complete-sampling image logs of surface portions of the sample; and f) repeat steps (b) to (e) through the one or more logged surface portions in order to construct three dimensional (3D) sample images from stacked successive pattern based simulations which provides for constructing at least one 3D model of the sample, wherein the at least one 3D model of the sample provides for further constructing one or more flow simulation model so as to assist in determining flow properties of the sample. - View Dependent Claims (17, 18, 19, 20, 21)
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Specification