Methods of and apparatuses for identifying geological characteristics in boreholes

• US 9,563,963 B2
• Filed: 05/14/2013
• Issued: 02/07/2017
• Est. Priority Date: 03/11/2013
• Status: Active Grant

• Current Assignee: Reeves Wireline Technologies Limited (Weatherford International PLC)
• Original Assignee: Reeves Wireline Technologies Limited (Weatherford International PLC)
• Inventors: Elkington, Peter Adrian Spencer, Assous, Said
• Primary Examiner(s): BHATNAGAR, ANAND P
• Application Number:
  US13/894,029
• Publication Number:
  US 20140254884A1
• Time in Patent Office: 1,365 Days
• US Class Current: 1/1
• CPC Class Codes: G01V 1/40 specially adapted for well-logging
• CPC Class Codes: G01V 1/42 using generators in one well and receivers elsewhere or vice versa G01V1/52 takes precedence
• CPC Class Codes: G01V 11/00 Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
• CPC Class Codes: G01V 2210/6169 using well-logging
• CPC Class Codes: G01V 3/20 operating with propagation of electric current
• CPC Class Codes: G01V 3/24 using ac
• CPC Class Codes: G01V 3/38 Processing data, e.g. for analysis, for interpretation, for correction
• CPC Class Codes: G06T 2207/10132 Ultrasound image
• CPC Class Codes: G06T 2207/20056 Discrete and fast Fourier transform, [DFT, FFT]
• CPC Class Codes: G06T 7/13 Edge detection

Abstract

A method of detecting an edge of a geological characteristic in a borehole comprises, in respect of an image log of a length of a borehole, carrying out the steps of a gradient-based edge detection method, a phase congruence-based edge detection method or a combination of such methods as preliminary, pre-processing stages. Subsequent steps of the method may include operating a relatively computationally simple process to identify sinusoids among detected edge features; and a relatively computationally complex process for parameterizing the thus-identified sinusoids.

Claims

1. A method of processing geological information on a formation intersected by a borehole, the method comprising:

obtaining data signals representative of the formation and generated by an image logging tool operated in the borehole to energize the formation, the data signals being processable to create an image of the formation including a plurality of pixels;

identifying sinusoidal geological characteristics in the data signals corresponding to a length of a borehole by;

employing a relatively computationally simple technique for analyzing the data signals corresponding to selected ones of said pixels to identify the presence of sinusoids among detected edge features; and

subsequently applying a relatively computationally complex technique for determining the parameters of the sinusoids identified using the relatively computationally simple technique, including disregarding the sinusoids extending over less than a predetermined proportion of a width of the image; and

determining, from the identified sinusoidal geological characteristics, planar geological features of the formation intersected by the borehole.

2. The method according to claim 1, wherein the method is carried out on the data signals processed to isolate data representative of edge features.

3. The method according to claim 1, including:

a. processing the data signals for the image on the basis of a sequential line-by-line approach in which each line in the data signals for the image is vertically spaced from at least one neighbor;

b. at each line analyzing a window of the pixels above and below the line;

c. for each pixel position p1 in the window, assessing whether the pixel contains part of an edge feature;

d. if the result of Step c is positive, identifying a further pixel position p2 shifted horizontally by W/2, where W is the width of the image, and reflected vertically about the said line;

e. searching a region centered on p2 for further edge features.

4. The method according to claim 3, wherein the step e. of searching the region centered on the pixel position p2 includes, in respect of each edge feature detected, incrementing an accumulator relating to the line;

performing a threshold analysis on a value of the accumulator; and

using the result of the threshold analysis to determine whether a sinusoid is present at the position of the line.

5. The method according to claim 1, including repeating the steps of claim 1 in respect of further lines of the data signals for the image.

6. A method of processing geological information on a formation intersected by a borehole, the method comprising:

obtaining data signals representative of the information and generated by an image logging tool operated in the borehole to energize the formation, the data signals being processable to create an image of the formation including a plurality of pixels;

identifying sinusoidal geological characteristics in the data signals corresponding to a length of the borehole, by;

employing a relatively computationally simple technique for analyzing the data signals corresponding to selected ones of said pixels to identify the presence of sinusoids among detected edge features; and

subsequently applying a relatively computationally complex technique for determining the parameters of the sinusoids identified using the relatively computationally simple technique, the method including searching for counterpart edge features in respective locations spaced approximately π

radians apart in the image; and

determining, from the identified sinusoidal geological characteristics, planar geological features of the formation intersected by the borehole.

7. A method of processing geological information on a formation intersected by a borehole, the method comprising:

obtaining data signals representative of the formation and generated by an image logging tool operated in the borehole to energize the formation, the data signals being processable to create an image of the formation including a plurality of pixels;

identifying sinusoidal geological characteristics in the data signals corresponding to a length of the borehole by;

employing a relatively computationally simple technique for analyzing the data signals corresponding to selected ones of said pixels to identify the presence of sinusoids among detected edge features; and

subsequently applying a relatively computationally complex technique for determining the parameters of the sinusoids identified using the relatively computationally simple technique, the method including;

a. processing the data signals for the image on the basis of a sequential line-by-line approach in which each line in the data signals for the image is vertically spaced from at least one neighbor;

b. at each line analyzing a window of the pixels above and below the line;

c. for each pixel position p1 in the window, assessing whether the pixel contains part of an edge feature;

d. if the result of Step c is positive, determining the slope of the edge feature at the location p1;

e. identifying a further pixel position p2 shifted horizontally by W/2, where W is a width of the image, and reflected vertically about the line;

f. determining the slope of any edge feature at or near position p2; and

g. if the value of the slope at p2 is equal in magnitude and opposite in sign to that determined at position p1, incrementing an accumulator relating to the line;

performing a threshold analysis on the value of the accumulator; and

using the result of the threshold analysis to determine whether a sinusoid is present at the position of the line; and

determining, from the identified sinusoidal geological characteristics, planar geological features of the formation intersected by the borehole.

8. A method of processing geological information on a formation intersected by a borehole, the method comprising:

obtaining data signals representative of the formation and generated by an image logging tool operated in the borehole to energize the formation, the data signals being processable to create an image of the formation including a plurality of pixels;

identifying sinusoidal geological characteristics in the data signals corresponding to a length of the borehole by;

employing a relatively computationally simple technique for analyzing the data signals corresponding to selected ones of said pixels to identify the presence of sinusoids among detected edge features; and

subsequently applying a relatively computationally complex technique for determining the parameters of the sinusoids identified using the relatively computationally simple technique, the method including parameterizing one or more of the identified sinusoids through practicing of the steps of;

a. creating a two-dimensional accumulator space representing a range of values of A and φ

, being respectively the amplitude and phase angle of the sinusoid;

b. analyzing each line of the data signals for the image that has been identified as containing a sinusoid;

c. for each line, analyzing a window of the pixels above and below the line and for each pixel position x, y within the window that contains an identified part of an edge feature, determining the local slope of the edge;

d. for each said local slope, determining estimates of A and φ

;

e. incrementing the element of the accumulator that corresponds to the resulting, estimated values of A and φ

so as to derive an accumulated count of different values of A and φ

;

f. repeating steps a. to e above in respect of the whole window and determining the maximum value in the accumulator space and, if it exceeds a threshold,

g. selecting the values of A and φ

corresponding to the accumulator element values that exceed the threshold as values of A and φ

whereby to generate data and/or one or more signals representative of a parameterized sinusoid; and

determining, from the identified sinusoidal geological characteristics, planar geological features of the formation intersected by the borehole.

9. The method according to claim 8, wherein the step d. includes determining φ

using an expression;

10. The method according to claim 8, wherein the step d. includes determining A using an expression:

11. The method according to claim 8, including the steps of:

h. for each non-zero element in the accumulator space, determining the corresponding values of A and φ

;

i. setting a counter to zero;

j. analyzing each pixel in the data signals for the image corresponding to the sinusoid specified by (i) the identity of the line under consideration and (ii) the values of A and φ

associated with the line;

k. determining the slope angle of the sinusoid at each pixel position;

l. for a search region centered on each pixel position, incrementing the counter by the number of the pixels identified as relating to edge features, the local slope angle of which lies within a threshold of the slope angle determined in step a.;

m. repeating steps a. to e. in respect of all of the pixels identified as relating to the edge features; and

n. if the counter value exceeds a threshold, allocating the resulting values of A and φ

as parameters of the sinusoid.

12. The method according to claim 8, including employing the sinusoid, the parameters of which result from the method steps, in further processing of the data signals for the image.

13. The method according to claim 12, including one or more further steps selected from:

superimposing the parameterized sinusoid onto the image;

printing the image including a superimposed sinusoid;

displaying the image including a superimposed sinusoid;

displaying or printing the parameterized sinusoid in the absence of other data for the image; and

utilizing data and/or a signal representative of the parameterized sinusoid in one or more calculations based on the data signals of the image or of another log.