Method of Digitally Identifying Structural Traps

US2016377752A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016377752-A1
Application numberUS-201514751253-A
CountryUS
Kind codeA1
Filing dateJun 26, 2015
Priority dateJun 26, 2015
Publication dateDec 29, 2016
Grant date

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  1. Title

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Abstract

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Embodiments of methods of identifying structural traps are disclosed herein. Embodiments of the disclosed method use an alternative approach to boundary value problem solvers, based on simple mathematical geometry adapted to the nature of the acquired data. Embodiments of the method rely on digital elevation model type of data (i.e. any given subsurface horizon has only single elevation data values). The disclosed methods allow for a significant algorithm speed-up in identifying structural traps especially when handling large and high density datasets which was heretofore not possible with existing methods.

First claim

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What is claimed is: 1 . A method of identifying structural traps comprising: (a) inputting a seismic dataset into a computer, the seismic dataset representative of a subsurface region of interest, and wherein the seismic dataset comprises at least one or more elevation data points; (b) selecting a horizon from the seismic dataset; (c) determining, using the computer, a plurality of elevation contours from the horizon based on the elevation data points to generate a contour dataset; (d) evaluating, using the computer, the plurality of contours to identify one or more structural traps, wherein the one or more structural traps are identified automatically based upon a computer algorithm which uses the elevation data points to identify and classify the one or more structural traps; (e) displaying on the computer one or more contours which represents an outline of the one or more structural traps; and (f) using the one or more structural traps identified in (d) to locate potential hydrocarbon-bearing regions in the subsurface region of interest. 2 . The method of claim 1 , wherein (b) comprises selecting and inputting a step value for spacing of each contour: 3 . The method of claim 1 , wherein the computer algorithm in (d) executes the following operations: (i) determining whether each contour is an open contour and discarding all open contours; (ii) identifying one or more outermost contours, each outermost contour enclosing one or more inner contours; and (iii) determining whether each outermost contour is a structural trap based on the one or more inner contours contained within the outermost contour. 4 . The method of claim 4 wherein (iii) comprises classifying each outermost contour as at least one of an anticline, a syncline, a structural trap, or a mixed structure. 5 . The method of claim 4 , if an outermost contour is classified as a mixed structure, further comprising repeating (i) through (iii) for the outermost contour and the inner contours contained within the outermost contour. 6 . The method of claim 1 , if a contour abuts a fault, wherein (c) further comprises propagating the contour along the fault. 7 . The method of claim 1 , further comprising repeating (b) through (f) for different horizons in the seismic dataset. 8 . The method of claim 1 wherein the structural traps comprises a three way trap, a four way trap, or combinations thereof. 9 . A computer system, comprising: an interface for receiving a plurality of seismic input volumes, the seismic input volumes comprising a plurality of seismic traces and one or more horizons; a memory resource; 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 computer system to perform a plurality of operations comprising: (a) receiving a seismic dataset, the seismic dataset representative of a subsurface region of interest, and wherein the seismic dataset comprises at least one or more elevation data points; (b) determining a plurality of elevation contours from a selected horizon based on the elevation data points to generate a contour dataset; (c) evaluating the plurality of contours to identify one or more structural traps, wherein the one or more structural traps are identified automatically based upon a computer algorithm which uses the contour dataset; (d) displaying on the computer one or more contours which represents an outline of the one or more structural traps; and (e) using the one or more structural traps identified in (c) to locate potential regions in the subsurface region of interest which could produce hydrocarbons. 10 . The system of claim 9 , wherein (b) comprises using a step value for spacing of each contour based on a selected step value from a user. 11 . The system of claim 9 , wherein the computer algorithm in (c) executes the following operations: (i) determining whether each contour is an open contour and discarding all open contours; (ii) identifying one or more outermost contours, each outermost contour enclosing one or more inner contours; and (iii) determining whether each outermost contour is a structural trap based on the one or more inner contours contained within the outermost contour. 12 . The system of claim 11 wherein (iii) comprises classifying each outermost contour as at least one of an anticline, a syncline, a structural trap, or a mixed structure. 13 . The system of claim 11 , if an outermost contour is classified as a mixed structure, further comprising repeating (i) through (iii) for the outermost contour and the inner contours contained within the outermost contour. 14 . The system of claim 9 , if a contour abuts a fault, wherein (c) further comprises propagating the contour along the fault. 15 . The system of claim 9 , further comprising repeating (b) through (d) for different horizons in the seismic dataset. 16 . The system of claim 9 wherein the structural traps comprises a three way trap, a four way trap, or combinations thereof.

Assignees

Inventors

Classifications

  • G01V1/30Primary

    Analysis (G01V1/50 takes precedence) · CPC title

  • Geostructures, e.g. in 3D data cubes · CPC title

  • G01V1/34Primary

    Displaying seismic recordings {or visualisation of seismic data or attributes} · CPC title

  • in 3D data cubes · CPC title

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What does patent US2016377752A1 cover?
Embodiments of methods of identifying structural traps are disclosed herein. Embodiments of the disclosed method use an alternative approach to boundary value problem solvers, based on simple mathematical geometry adapted to the nature of the acquired data. Embodiments of the method rely on digital elevation model type of data (i.e. any given subsurface horizon has only single elevation data va…
Who is the assignee on this patent?
Cavelius Claude Edward Francois, Kowalik William S, Marsh Antony J, and 2 more
What technology area does this patent fall under?
Primary CPC classification G01V1/30. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Dec 29 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). 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).