CA2265063A1 - Converting magnetic field depth solutions to a three-dimensional seismic data format - Google Patents
Converting magnetic field depth solutions to a three-dimensional seismic data format Download PDFInfo
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- CA2265063A1 CA2265063A1 CA 2265063 CA2265063A CA2265063A1 CA 2265063 A1 CA2265063 A1 CA 2265063A1 CA 2265063 CA2265063 CA 2265063 CA 2265063 A CA2265063 A CA 2265063A CA 2265063 A1 CA2265063 A1 CA 2265063A1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
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Abstract
Magnetic field depth solutions are calculated for a magnetic field survey. These depth solutions are defined spatially by x, y and z co-ordinates. A digital three dimensional zero matrix is constructed by a computer program to represent a prism of earth underlying the area of the magnetic field survey. The matrix is subdivided evenly into elements representing smaller bins or prisms. Unit values are assigned to those elements to which the depth solutions correspond spatially. The resulting matrix values therefore represent a density or frequency of occurrence per unit volume of the magnetic depth solution points. The matrix elements are then spread to surrounding elements by three-dimensional convolution methods using Gaussian wavelets in each of three directions, thereby smoothing the data. The resulting data volume, or three dimensional digital matrix is then converted to a format compatible with a computerized seismic data visualization and interpretation tool and loaded into the tool. The integrated analysis of aeromagnetic depth solution data with seismic data is thereby enabled.
Description
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FIELD OF THE INVENTION
This invention is in the field of geological exploration and is more
particularly directed to identifying sub-surface structures through the
integrated analysis of magnetic field depth solutions and seismic data.
BACKGROUND OF THE INVENTION
In the field of geological exploration, particularly as applied in the oil
and gas industry, various methods are commonly used to acquire information
regarding the depth, size and orientation of geological structures and
formations. Seismic methods involve the induction of acoustic energy into the
earth. Reflected or refracted acoustic energy returns to the surface and is
recorded. By analysis of the travel times of the energy along reflected or
refracted paths, the location and character of sub-surface structures can be
determined. Furthermore, three-dimensional visualisation and interpretation
of this seismic data is made possible by the application of computerized
seismic data interpretation tools.
Another common technique of geological exploration is the analysis of
measurements of the earthâs magnetic field. As is commonly known in the art,
magnetization of the earthâs core and crust, as well as the interaction of the
earthâs magnetic field with solar phenomena, all contribute to the magnetic
field measurements of a magnetic survey. It is also well known that the non-
homogeneity of the earth that is due to the geological structure of the sub-
surface, is evident in the deviations of the earthâs magnetic field from the
magnitudes expected assuming uniformity. Furthermore, the magnetic field of
the earthâs core is commonly represented in the art by the mathematical
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formula, the international Geomagnetic Reference Field (IGRF), that is agreed
upon by the International Union of Geodesy and Geophysics (IUGG). As is
well known in the art, the magnetic anomalies of the earthâs geomagnetic field
can be calculated by subtracting the IGRF from the measured magnetic field
and by applying corrections for diurnal variations in the field.
Figure 1a illustrates a simplified cross-section of the earth in which a
clipping magnetized body lies at a depth d from ground surface. Figure 1b
illustrates how the presence of the aforementioned anomalous body results in
a deviation of the measured magnetic field from the field expected assuming
sub-surface homogeneity, the IGRF. The form of this deviation is dependent
upon the shape of the body, its orientation with respect to the earthâs
magnetic field, its position on the earth, the magnetic susceptibility of the body
and its surroundings, and the depth of the body from ground surface.
As is well known in the art, the frequencies (in the spatial domain) at
which the magnetic field varies are dependent upon the sub-surface depth of
the anomalous geological structures. Shallow structures produce higher
frequency (in the spatial domain) variations in the magnetic field of the earth
than do deeper structures. As such, the analysis of the geomagnetic field is
useful in determining estimates of depth to geological structures.
As is common to the art of aeromagnetic surveying, discrete
measurements of the earthâs magnetic field are made across a survey area.
An airplane carrying a magnetometer flies in an orderly pattern over the area
and measurements of the earthâs magnetic field are taken at regular time
intervals.
It is common to design aeromagnetic surveys along regularly
spaced, parallel flight lines across the survey area, with consideration of the
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geology and topography speciï¬c to the area. Figure 2 shows a survey area
with aeromagnetic flight lines crossing it in an orderly fashion, with arrows
indicating the direction of flight during the survey. The measurements and the
locations of the measurements are recorded and are later converted to grids
of measurements.
As is common to the art, filters may be applied to the grids of magnetic
measurements in the space or frequency domain, to enhance magnetic
anomalies of particular wavelengths, and maps of the filtered magnetic field
are constructed to enable more insightful analysis of the earthâs magnetic
field.
As is -common to the art, magnetic field depth solutions may be
calculated using known formulas. Calculation of magnetic depth solution
points provide a means of estimating depths to anomalous magnetized
bodies, by analyzing either the magnetic field profiles gathered along the flight
lines or by analysis of the grid of the magnetic field over the entire survey
area. Figure 1a shows a magnetic depth solution point that has been
determined using a method of analyzing the geomagnetic field. The spatial
coordinates of the calculated magnetic depth solution points are stored using
a computer disk drive or magnetic tape.
However, the prior art does not provide any fast and simple method of
representing the depth solutions in a plurality of perspectives or orientations.
In the prior art, interpretation of the magnetic field depth solutions has been a
slow process, restricted to one or two profile directions. Furthermore, the
prior art does not provide a fast and simple method to integrate magnetic field
depth solutions with seismic data.
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It is an object of the present invention to provide a method of three-
dimensional visualisation and interpretation for magnetic field depth solutions.
it is another object of the present invention to provide a method for integrating
magnetic field depth solution data with seismic data so they can be used
simultaneously in seismic interpretation tools. Other objects and advantages
of the present invention will be apparent to those of ordinary skill in the art,
having reference to the following specification together with its drawings.
__yMMARY QF TH§ INV§NTl0_N
In accordance with the invention, magnetic depth solution points are
converted to a digital format which can be integrated with a seismic
visualization and interpretation tool for display. This is accomplished by
practising the following steps:
o storing the calculated co-ordinates of magnetic depth solution
points, derived from a magnetic survey conducted over a survey
area, in computer memory;
o establishing in computer memory a matrix, representative of a pre-
determined volume underlying the survey area and which contains
a distribution of the points, said matrix being subâdivided into
elements;
a retrieving the co-ordinates for each point, identifying the matrix
element with which it corresponds spatially and assigning a value to
that element;
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o combining the assigned values for each element to create a product
matrix representing the distribution of the points in the pre-
determined volume; and
o converting the product matrix into seismic data format and
displaying it.
DESCRIPTION OF THE DRAWINGS
Figure 1(a) is a simplified cross-sectional view of the earth, showing an
anomalous magnetized body buried at a depth d from the surface;
Figure 1(b) is a comparative profile of the calculated IGRF and the
magnetic field as measured across the buried magnetized body of Figure
1(a);
Figure 2 is a schematic plan view illustrating a typical aeromagnetic
survey showing the lines flown by the survey plane traversing the area;
Figure 3 is a block diagram setting forth a preferred form of the steps of
the invention;
Figure 4 is a schematic perspective view illustrating a survey prism
which represents the volume of earth beneath an aeromagnetic survey grid
area. Smaller component prisms or bins sub-divide the greater survey prism.
Flight lines are shown across the top of the survey prism;
Figure 5 is a schematic perspective view of a three-dimensional zero
matrix representing the prism of Figure 4;
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Figure 6 is a schematic perspective view of the matrix of Figure 5
comprising the inclusion of a unit value in an elemental matrix element to
represent the presence of a magnetic depth solution point within the
corresponding sub-volume or bin;
Figure 7 illustrates a simulated example of a wavelet constructed for
convolution with the digital matrix of Figure 6. The digital samples
representing the wavelet in the computer convolution process are illustrated
here;
Figure 8 is a schematic perspective view of the matrix of Figure 6
illustrating the convolution of the matrix with a wavelet in the vertical direction;
Figure 9 is a schematic perspective view of the matrix of Figure 6
illustrating the convolution of the matrix with a wavelet in the lengthwise
direction;
Figure 10 is a schematic perspective view of the matrix of Figure 6
illustrating the convolution of the matrix with a wavelet in the width direction;
Figure 11 illustrates an example of a seismic cross-section, with an
interpreted fault clearly denoted; and
Figure 12 illustrates an example of a cross-section view of magnetic
depth solution data, converted to SEG-Y format and displayed using a seismic
interpretation tool, for comparison with the seismic data (of Figure 12) from
along the same profile.
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QESCRIPTKEF THE PRlï¬l_E_RRED EMBODIMENT
As will be apparent from the following description, the preferred
embodiment of the present invention may be applied to any data comprised of
a scattered distribution of points in three dimensional space. A particularly
useful application of the preferred embodiment of the invention has been the
analysis of magnetic field depth solutions. Magnetic field depth solutions are
computed by analysis of geomagnetic measurement data. Geomagnetic
measurement data are obtained by an aeromagnetic survey carried out in a
conventional fashion. More particularly, geomagnetic measurements are
recorded by a magnetometer carried in an airplane. The airplane is flown
along parallel flight lines 1 over a predetermined survey area 2, as illustrated
in Figure 2. A variety of algorithms such as the Werner and Euler methods are
commonly used in the art, for computing magnetic depth solutions along the
flight line magnetic field profiles. Although these methods are inherently
different, each method computes series of co-ordinates (X, Y and Z), which
are stored on a computer disk drive. These co-ordinates represent locations
of anomalous magnetic sources.
The method according to the preferred embodiment of the invention for
analyzing magnetic depth solution data will now be described. A computer
program was written for converting these magnetic depth solutions to 3D
seismic data format, for visualizing and interpreting using a seismic
workstation. According to the preferred embodiment of the invention, the
processes of the computer program are illustrated in the flow chart of figure 3.
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In the first step 3 of the preferred embodiment, the geometry of the
survey prism is defined by the computer program. The survey prism is a
volume underlying the survey area which incorporates the sedimentary and
basement rock down to a depth of several kilometers. An example survey
prism 4 is illustrated in figure 4. To define the geometry of the prism, the
spatial co-ordinates of the corner points 5 of the survey area are input into the
computer. Furthermore, the total depth 6 of the prism is entered into the
computer. This rectangular prism may be constructed with any spatial
orientation. However, if the flight lines 1 of the aeromagnetic survey are
parallel, it is preferred that the prism be aligned with these ï¬ight lines.
The survey prism is subâdivided by the computer program into a
plurality of smaller rectangular prisms of equal dimensions, herein referred to
as âbinsâ 7. The bins can be of any dimensions. However, according to the
preferred embodiment of the invention, the bins are defined by the computer
program to have length 8 and width 9 equal to half the flight line spacing 10.
According to the first step 3 of the preferred embodiment, the computer
program defines the geometry of the survey prism by calculating the spatial
co-ordinates of the center of each 'bin' 7 of the survey prism. The co-ordinates
for the centers of all the bins are stored by the computer program in computer
memory.
After the bin co-ordinates are stored in the computer memory, the
second step 12 of the preferred embodiment is performed. In the second step,
the computer program generates a threeâdimensiona| digital matrix in the
computer memory. Figure 5 illustrates a three-dimensional zeroâmatrix 13 that
was generated by the computer program to represent the survey prism 4 of
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figure 4. The three-dimensional digital matrix is composed of a number of
discrete data values. We shall refer to these data values as 'elements' 14. The
computer program creates the matrix with a number of elements in length,
width and depth dimensions, equal to the number of bins 7 in the
aforementioned survey prism 4. According to the preferred embodiment, the
computer program assigns to each matrix element a null value in this step.
Each matrix element 14 will herein be identified as shown in figure 5, by trace
number 15, line number 16, and depth increment number 17.
Following the creation of the digital matrix 13, the third step 19 of the
preferred embodiment is performed, in which the computer program retrieves
the co-ordinates of the magnetic depth solutions from computer disk storage.
According to the preferred embodiment, only the spatial co-ordinates of one
type of magnetic depth solution are retrieved.
When the desired magnetic depth solution co-ordinates have been
retrieved from computer disk storage, the fourth step 20 of the preferred
embodiment is performed, in which values are assigned to the matrix
elements. It is contemplated that one of ordinary skill in the art having
reference to this specification will be able to readily apply the present method.
According to the preferred embodiment of the invention, the computer
program compares each magnetic depth solution co-ordinate (retrieved in the
third step 19) with the center co-ordinates of each bin (defined in the first step
3) to determine within which bin each magnetic depth solution is contained.
The elements of the digital zero-matrix (constructed in the second step 12)
which represent the aforementioned containing bins 7 are identified by the
computer program, and a value is added to each of these matrix elements 14.
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According to the preferred embodiment of the invention, a discrete value of
one is added to the digital matrix element 14 to represent each magnetic
depth solution. Figure 6 illustrates how a unit value 21 is added to a three
dimensional matrix element 14 which represents a bin containing a magnetic
depth solution point. If a plurality of magnetic depth solution points are found
to be contained within a single bin, then the matrix element corresponding to
that bin will equal the number of depth solutions contained therein. When a
value has been assigned to the digital matrix for each of the magnetic depth
solution points of the survey, the matrix values are a scalar distribution
representing the density, or rather, the frequency of occurrence per unit
volume of the magnetic depth solution points.
It is useful for purposes of visualization, for the digital matrix elements
carrying values representing magnetic depth solution points, to be surrounded
by a zone of non-zero elements. This process will hereon be referred to as
"spreading". The shape and volume of this zone of non-zero matrix elements
is dependent upon the anticipated resolution required. According to the fourth
step 20 of the preferred embodiment of the invention, "spreading" is
performed by convolving the digital matrix with a wavelet in three orthogonal
directions.
The fifth step 22 of the preferred embodiment of the invention involves
the construction of the aforementioned wavelet. Figure 7 illustrates a
symmetrical wavelet 23 which has a central amplitude of one. Since the
preferred embodiment of the invention is performed in digital form, the wavelet
is stored in the computer memory as a set of discrete samples 24 of the
wavelet's amplitude taken at equally spaced intervals 25 along the wavelet's
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length. Any shaped wavelet may be used. However, it is preferable that the
wavelet be all positive, and that the wavelet be of a dominant spatial
frequency sufficient to provide the anticipated resolution required. Preferably,
a normal distribution curve, or some similar pattern, is chosen for this
purpose. Furthermore, the sampling interval 25 chosen for digital
representation of the wavelet is dependent on the anticipated resolution
required.
After the digital wavelet 23 has been stored in computer memory, the
sixth step 26 of the preferred embodiment is performed in which the computer
program convolves the digital wavelet 23 with the digital matrix in three
orthogonal directions. The convolution process is well known in the art of
digital signal processing and in the art of seismic data analysis. It is
contemplated that one of ordinary skill in the prior art will be able to readily
apply the present method. For each of the orthogonal directions, the wavelet
23 is convolved with the matrix along a plurality of parallel paths, so that every
element of the matrix is effectively convolved by the wavelet in three
directions. The directions of convolution may be chosen arbitrarily, but the
preferred directions of convolution are in the vertical direction, along the
length of matrix and across the width of the matrix. Figure 8 illustrates the
convolution of the three dimensional matrix with a wavelet in the vertical
direction 27. According to the preferred embodiment of the invention, the
wavelet is convolved down every line and trace of the matrix. After vertical
convolution, the data volume is convolved with the wavelet in a direction
lengthwise across the survey area. Figure 9 illustrates the convolution of the
wavelet in the direction 28 lengthwise across the data volume, across every
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line, and at every depth increment of the matrix. Then the matrix is convolved
with a wavelet in the third orthogonal direction, as is illustrated in figure 10. In
this case, the wavelet is convolved in the direction 29 across every trace and
at every depth increment of the matrix. The resultant data volume contains
zones of non-zero matrix elements, centered on the unit value which
represents the location of the magnetic depth solution point. Where magnetic
depth solution points are close together, these non-zero zones constructively
interfere, or rather, the values contained by their elements are combined
additively.
In the final step 30 of the preferred embodiment, the three dimensional
digital matrix is converted by the computer program into a digital data format
that is common to the art of seismic data processing and interpretation. It is
contemplated that one of ordinary skill in the prior art will be able to readily
apply the present method. It is preferred that the digital matrix be converted to
the common SEG-Y data format. The resultant SEG-Y data set is stored by
the computer program on the computer data storage device. Once converted
to a seismic data format, the data is displayed using a variety of seismic data
visualization, processing and interpretational computer software tools, which
are commonly available for PC and UNIX system applications.
The invention is exemplified by the following example.
An aeromagnetic survey was flown over an area which contained a
known fault. A 2D seismic line across this fault was also available. The flight
lines of the aeromagnetic survey were roughly parallel and spaced at 800
meter intervals. Werner magnetic depth solutions were calculated along each
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flight profile and these points were recorded by the computer according to
their XYZ co-ordinates.
A rectangular survey prism containing a plurality of bins was defined for
the survey area by the computer program. The bins, aligned parallel to the
sides of the greater rectangular prism, were 400 meters long, 400 meters
wide and 20 meters thick. A threeâdimensional zero matrix was created by
the computer program to digitally represent all of the bins of the survey prism.
The magnetic depth solution points were retrieved from computer
memory and the co-ordinates of each point were analyzed sequentially. A
value of 1 was added by the computer program to the elements of the three-
dimensional digital matrix which corresponded to the bins which contained
magnetic depth solutions. Where a plurality of depth points were confined to
the same bin, the value of their corresponding digital matrix element became
a summation of their contributing unit values.
A normal distribution wavelet was constructed for convolution across
the data volume in three orthogonal directions. The wavelet was convolved
by the computer program across the three dimensional matrix, first in the
vertical direction, then in the length direction, and finally in the width direction.
In each of the three cases, every element of the matrix was involved in the
convolution process.
After convolution, the three-dimensional matrix was converted to SEG-
Y format, a format common to the art of seismic data analysis. This SEG-Y
data file was loaded into the computer software program SeisX, which is
commonly used in the art of seismic data interpretation, for visualization and
interpretation.
The data volume was displayed using a variable intensity
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display parameter, with colors related to the values contained within the
elements of the data volume. The data volume could be viewed as vertical
profile sections of any orientation across the volume, as horizontal depth
slices, or as three-dimensional semi-transparent images. Magnetic maps
were also loaded into the computer software program, enabling a
simultaneous interpretation of the magnetic field maps with the depth solution
data. Furthermore, seismic data which were plotted with depth as the vertical
dimension were viewed simultaneously for comparison with the magnetic
data.
Figure 12 is a two-dimensional seismic data image from a seismic
survey acquired within the area of the example aeromagnetic survey. The
vertical scale of the seismic display image is in milliseconds. The seismic
image shows an intra-sedimentary fault 31 with significant throw. Figure 13 is
an image, normally displayed in color, of a vertical crossâsection through the
example SEG-Y formatted data volume using the seismic interpretation tool,
SeisX. Its vertical units are in meters. This crossâsection shows a near
vertical trend 32 of magnetic depth solutions, believed to be the result of a
magnetized fault. This near vertical trend 32 coincides spatially with the fault
predicted by the seismic data.
In conclusion, the invention is characterized by the following
advantages:
o the quantity of paper used in the aeromagnetic data interpretation
process is greatly reduced;
o visualization and interpretation of the depth point solutions in three
dimensions becomes possible;
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the time required for the interpretation is dramatically reduced,
since interpretation of the magnetic field maps and magnetic depth
solution data are simultaneous and the interpretation map is
created automatically by the seismic interpretation software;
simultaneous interpretation and visualization of magnetic data and
seismic data is possible; and
coherent trends of magnetic depth solution data across consecutive
flight line profiles can be easily identiï¬ed using the three-
dimensional visualization and depth slice visualization techniques
available using computer tools common to the art of seismic data
interpretation.
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Claims (4)
EXCLUSIVE PROPERTY OR PRIVILEGE IS CLAIMED ARE DEFINED AS
FOLLOWS:
1. A method for converting magnetic depth solution points, derived from a magnetic survey conducted over a survey area and having spatial co-ordinates, to a digital format which can be integrated with a seismic visualization and interpretation tool for display, comprising:
storing the co-ordinates of the magnetic depth solution points in computer memory;
establishing in computer memory a matrix representative of a pre-determined volume underlying the survey area and which contains a distribution of the points, said matrix being sub-divided into elements;
retrieving the co-ordinates for each point, identifying the matrix element with which it corresponds spatially and assigning a value to that element;
combining the assigned values for each element to create a product matrix representing the distribution of the points in the pre-determined volume; and converting the product matrix into seismic data format and displaying it.
storing the co-ordinates of the magnetic depth solution points in computer memory;
establishing in computer memory a matrix representative of a pre-determined volume underlying the survey area and which contains a distribution of the points, said matrix being sub-divided into elements;
retrieving the co-ordinates for each point, identifying the matrix element with which it corresponds spatially and assigning a value to that element;
combining the assigned values for each element to create a product matrix representing the distribution of the points in the pre-determined volume; and converting the product matrix into seismic data format and displaying it.
2. The method as set forth in claim 1 comprising:
smoothing the elements assigned value over adjacent matrix elements.
smoothing the elements assigned value over adjacent matrix elements.
3. The method as set forth in claim 2 wherein:
smoothing is conducted by convolving the matrix with wavelets.
smoothing is conducted by convolving the matrix with wavelets.
4. A method for converting magnetic depth solution points, derived from a magnetic survey conducted over a survey area and having spatial co-ordinates, to a digital format which can be integrated with a seismic visualization and interpretation tool, comprising:
storing the co-ordinates of the magnetic depth solution points in computer memory;
establishing in computer memory a matrix representative of a pre-determined prism volume underlying the survey area and which contains a distribution of the points, said matrix being sub-divided into elements representative of prism volume bins;
retrieving the co-ordinates for each point, identifying the matrix element with which it corresponds spatially and assigning a value to that element;
combining the assigned values for each element to create a product matrix representing the distribution of the points in the prism volume;
smoothing the elements assigned value over adjacent matrix elements by convolving the matrix with wavelets in three orthogonal directions; and converting the product matrix into seismic data format and displaying it.
storing the co-ordinates of the magnetic depth solution points in computer memory;
establishing in computer memory a matrix representative of a pre-determined prism volume underlying the survey area and which contains a distribution of the points, said matrix being sub-divided into elements representative of prism volume bins;
retrieving the co-ordinates for each point, identifying the matrix element with which it corresponds spatially and assigning a value to that element;
combining the assigned values for each element to create a product matrix representing the distribution of the points in the prism volume;
smoothing the elements assigned value over adjacent matrix elements by convolving the matrix with wavelets in three orthogonal directions; and converting the product matrix into seismic data format and displaying it.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CA 2265063 CA2265063A1 (en) | 1998-03-11 | 1999-03-10 | Converting magnetic field depth solutions to a three-dimensional seismic data format |
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CA2231751 | 1998-03-11 | ||
CA2,231,751 | 1998-03-11 | ||
CA 2265063 CA2265063A1 (en) | 1998-03-11 | 1999-03-10 | Converting magnetic field depth solutions to a three-dimensional seismic data format |
Publications (1)
Publication Number | Publication Date |
---|---|
CA2265063A1 true CA2265063A1 (en) | 1999-09-11 |
Family
ID=29585089
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CA 2265063 Abandoned CA2265063A1 (en) | 1998-03-11 | 1999-03-10 | Converting magnetic field depth solutions to a three-dimensional seismic data format |
Country Status (1)
Country | Link |
---|---|
CA (1) | CA2265063A1 (en) |
-
1999
- 1999-03-10 CA CA 2265063 patent/CA2265063A1/en not_active Abandoned
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