Method to determine wettability of rock samples using image analysis

US9412023B1 · US · B1

Patent metadata
FieldValue
Publication numberUS-9412023-B1
Application numberUS-201514673930-A
CountryUS
Kind codeB1
Filing dateMar 31, 2015
Priority dateMar 31, 2015
Publication dateAug 9, 2016
Grant dateAug 9, 2016

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  1. Title

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  2. Abstract

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  4. Key dates

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  5. First independent claim

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Abstract

Official abstract text for this publication.

A method is disclosed for determining wettability in a subsurface reservoir. Embodiments of the method utilize image analysis techniques for determining wettability indicator values. Wettability indicator values may be determined based on a hydrocarbon wet fraction and a water wet fraction of pore linings, which may both be determined by image analysis of pore walls lined with hydrocarbons using images of sections obtained from core samples. Further details and advantages of various embodiments of the method are described in more detail herein.

First claim

Opening claim text (preview).

What is claimed is: 1. A computer-implemented method of determining wettability in a subsurface reservoir, the method comprising: (a) acquiring one or more core samples from the subsurface reservoir; (b) preparing a plurality of sections from the core samples for image analysis; (c) obtaining a plurality of digital images from each section from a digital imaging device; (d) segmenting each digital image into at least a hydrocarbon phase, a water bearing pore phase, and a rock phase; and (e) determining a wettability indicator based on a hydrocarbon wet fraction and a water wet fraction, wherein the hydrocarbon wet fraction and the water wet fraction are determined based on the segmenting in (d), and wherein at least (c) through (e) are performed on computer; and wherein (e) comprises determining a total pore length, a pore length of hydrocarbon lined pores, and a pore length of unlined pores; and wherein the hydrocarbon wet fraction is a fraction of the pore length of hydrocarbon lined pores to the total pore length; and wherein the water wet fraction is a fraction of the pore length of unlined pores to the total pore length. 2. The method of claim 1 wherein the pore length of hydrocarbon lined pores comprises a pore length of pores lined with one or more light hydrocarbon materials and one or more heavy organic materials. 3. The method of claim 2 wherein the one or more heavy organic materials comprises bitumen. 4. The method of claim 1 wherein the segmenting comprises edge detection, thresholding, clustering, or combinations thereof. 5. The method of claim 1 wherein the imaging device comprises a confocal laser microscope, a micro-CT, scanning electron microscopy, reflected light microscopy, fluorescent microscopy, or combinations thereof. 6. A system for determining wettability of a subsurface reservoir comprising: an imaging device for obtaining one or more digital images of a plurality of imaging sections from one or more core samples from a subsurface reservoir; an interface for receiving one or more user inputs; a memory resource, the memory resource configured to store the digital images; input and output functions for presenting and receiving communication signals to and from a human user; one or more central processing units for executing program instructions; and program memory, coupled to the central processing unit, for storing a computer program including program instructions that, when executed by the one or more central processing units, cause the system to perform a plurality of operations for determining wettability of a subsurface reservoir, the plurality of operations comprising: (a) segmenting each digital image into at least a hydrocarbon phase, a water bearing pore phase, and a rock phase; and (b) determining a wettability indicator based on a hydrocarbon wet fraction and a water wet fraction, wherein the hydrocarbon wet fraction and the water wet fraction are determined based on the segmenting in (a); and wherein (b) comprises determining a total pore length, a pore length of hydrocarbon lined pores, and a pore length of unlined pores; and wherein the hydrocarbon wet fraction is a fraction of the pore length of hydrocarbon lined pores to the total pore length; and wherein the water wet fraction is a fraction of the pore length of unlined pores to the total pore length. 7. The system of claim 6 wherein the pore length of hydrocarbon lined pores comprises a pore length of pores lined with one or more light hydrocarbon materials and one or more heavy organic materials. 8. The system of claim 7 wherein the one or more heavy organic materials comprises bitumen. 9. The system of claim 6 wherein the imaging device comprises a confocal laser microscope, a micro-CT, scanning electron microscopy, reflected light microscopy, fluorescent microscopy, or combinations thereof.

Assignees

Inventors

Classifications

  • G01N13/00Primary

    Investigating surface or boundary effects, e.g. wetting power; Investigating diffusion effects; Analysing materials by determining surface, boundary, or diffusion effects (scanning-probe techniques or apparatus G01Q) · CPC title

  • for hydrocarbon content · CPC title

  • by use of radiation, e.g. transmitted or reflected light · CPC title

  • involving an extracting tool, e.g. core bit · CPC title

  • Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells · CPC title

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What does patent US9412023B1 cover?
A method is disclosed for determining wettability in a subsurface reservoir. Embodiments of the method utilize image analysis techniques for determining wettability indicator values. Wettability indicator values may be determined based on a hydrocarbon wet fraction and a water wet fraction of pore linings, which may both be determined by image analysis of pore walls lined with hydrocarbons usin…
Who is the assignee on this patent?
Hurley Neil Francis, Chevron Usa Inc
What technology area does this patent fall under?
Primary CPC classification G01N13/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 09 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).