CN112464054A - Logging data processing method and device - Google Patents
Logging data processing method and device Download PDFInfo
- Publication number
- CN112464054A CN112464054A CN201910847283.6A CN201910847283A CN112464054A CN 112464054 A CN112464054 A CN 112464054A CN 201910847283 A CN201910847283 A CN 201910847283A CN 112464054 A CN112464054 A CN 112464054A
- Authority
- CN
- China
- Prior art keywords
- target
- value
- depth value
- initial
- logging data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title description 14
- 238000005070 sampling Methods 0.000 claims abstract description 297
- 238000012545 processing Methods 0.000 claims abstract description 39
- 238000000034 method Methods 0.000 claims abstract description 34
- 238000004590 computer program Methods 0.000 claims description 14
- 238000012952 Resampling Methods 0.000 description 14
- 238000010586 diagram Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
- 230000008859 change Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000000750 progressive effect Effects 0.000 description 2
- 241000219112 Cucumis Species 0.000 description 1
- 235000015510 Cucumis melo subsp melo Nutrition 0.000 description 1
- FJJCIZWZNKZHII-UHFFFAOYSA-N [4,6-bis(cyanoamino)-1,3,5-triazin-2-yl]cyanamide Chemical compound N#CNC1=NC(NC#N)=NC(NC#N)=N1 FJJCIZWZNKZHII-UHFFFAOYSA-N 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Mining & Mineral Resources (AREA)
- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Databases & Information Systems (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Fluid Mechanics (AREA)
- Geochemistry & Mineralogy (AREA)
- Environmental & Geological Engineering (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Debugging And Monitoring (AREA)
Abstract
The embodiment of the application provides a method and a device for processing logging data, wherein the method comprises the following steps: determining the corresponding relation between the depth value of each initial sampling interval of the logging data and the curve value according to the coordinate data of two adjacent initial sampling points of the logging data in a preset coordinate system; determining a target depth value of each target sampling point in the logging data according to a preset initial coordinate and a preset target sampling interval of the logging data in the preset coordinate system, and determining a corresponding initial sampling interval according to the target depth value of the target sampling point; obtaining a target curve value of the target sampling point according to the corresponding relation between the target depth value of the target sampling point and the depth value of the initial sampling interval and the curve value; the method and the device can effectively solve the problem that data conflict is unavailable due to different initial depth values and sampling intervals of different logging data of the same well.
Description
Technical Field
The application relates to the field of well logging data processing, in particular to a well logging data processing method and device.
Background
Because different curves of the same well may not be measured by the same logging instrument in the same batch, the depth sampling intervals and depth values of the logging data are different, and the data uploaded or pushed to the data platform is likely to contain such a part of the logging data. When the logging data is downloaded, the logging data cannot be downloaded due to different depth points and sampling intervals of the logging data in one well, so that an error is reported.
Disclosure of Invention
Aiming at the problems in the prior art, the application provides a method and a device for processing logging data, which can effectively solve the problem that data collision is unavailable due to different initial depth values and sampling intervals of different logging data of the same well.
In order to solve at least one of the above problems, the present application provides the following technical solutions:
in a first aspect, the present application provides a method for processing well log data, comprising:
determining the corresponding relation between the depth value of each initial sampling interval of the logging data and the curve value according to the coordinate data of two adjacent initial sampling points of the logging data in a preset coordinate system;
determining a target depth value of each target sampling point in the logging data according to a preset initial coordinate and a preset target sampling interval of the logging data in the preset coordinate system, and determining a corresponding initial sampling interval according to the target depth value of the target sampling point;
and obtaining a target curve value of the target sampling point according to the corresponding relation between the target depth value of the target sampling point and the depth value of the initial sampling interval and the curve value.
Further, the determining a corresponding relationship between a depth value and a curve value of each initial sampling interval of the logging data according to coordinate data of two adjacent initial sampling points of the logging data in a preset coordinate system includes:
obtaining the slope and the offset of the straight line relative to the preset coordinate system according to a straight line formed by connecting two coordinate values of the two adjacent initial sampling points in the preset coordinate system, wherein the offset is a horizontal axis value corresponding to the intersection of the extension line of the straight line and the horizontal axis of the preset coordinate system;
and determining the corresponding relation between the depth value and the curve value according to the slope and the offset.
Further, the determining the corresponding relationship between the depth value and the curve value according to the slope and the offset includes:
the expression of the corresponding relation between the depth value and the curve value is as follows: x is equal to AY + B,
wherein X is the curve value, A is the slope, Y is the depth value, and B is the offset.
Further, the determining the corresponding initial sampling interval according to the target depth value of the target sampling point includes:
and determining two adjacent initial sampling points and corresponding initial sampling intervals, wherein the initial depth value in the coordinate data of each initial sampling point is closest to the target depth value.
Further, the obtaining a target curve value of the target sampling point according to the target depth value of the target sampling point and the corresponding relationship between the depth value of the initial sampling interval and the curve value includes:
and obtaining the target curve value according to the corresponding relation between the target depth value and the target curve value in the expression of the corresponding relation between the target depth value and the curve value.
In a second aspect, the present application provides a well logging data processing apparatus comprising:
the corresponding relation determining module is used for determining the corresponding relation between the depth value and the curve value of each initial sampling interval of the logging data according to the coordinate data of two adjacent initial sampling points of the logging data in a preset coordinate system;
the target depth value determining module is used for determining a target depth value of each target sampling point in the logging data according to a preset initial coordinate and a preset target sampling interval of the logging data in the preset coordinate system, and determining the corresponding initial sampling interval according to the target depth value of the target sampling point;
and the target curve value determining module is used for obtaining the target curve value of the target sampling point according to the target depth value of the target sampling point and the corresponding relation between the depth value of the initial sampling interval and the curve value.
Further, the correspondence determining module includes:
the slope and offset determining unit is used for obtaining the slope and the offset of the straight line relative to the preset coordinate system according to the straight line formed by connecting two coordinate values of the two adjacent initial sampling points in the preset coordinate system, wherein the offset is a horizontal axis value corresponding to the intersection of the extension line of the straight line and the horizontal axis of the preset coordinate system;
and the corresponding relation determining unit is used for determining the corresponding relation between the depth value and the curve value according to the slope and the offset.
Further, the target depth value determination module includes:
and the initial sampling interval determining unit is used for determining two adjacent initial sampling points and corresponding initial sampling intervals, wherein the initial depth values in the coordinate data of the initial sampling points are closest to the target depth value.
Further, the target curve value determination module includes:
and the expression operation unit is used for obtaining the target curve value according to the corresponding relation between the target depth value and the target curve value in the expression of the corresponding relation between the target depth value and the curve value.
In a third aspect, the present application provides an electronic device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for processing well log data when executing the program.
In a fourth aspect, the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of well log data processing.
According to the above technical solution, the present application provides a method and an apparatus for processing logging data, wherein original logging data is placed in a preset coordinate system, and coordinate data of two adjacent initial sampling points in the logging data in the preset coordinate system is determined, so as to further determine a corresponding relationship between a depth value and a curve value between the coordinate data of the two adjacent initial sampling points (i.e. within an initial sampling interval), and by uniformly setting an initial coordinate and a target sampling interval of the logging data, a target depth value of each target sampling point in the preset coordinate system and a corresponding initial sampling interval (i.e. within which initial sampling interval the depth value of the target sampling point falls) in the logging data are determined, and a target curve value of the target sampling point is obtained by combining the corresponding relationship between the depth value of the initial sampling interval and the curve value, thereby completing resampling of each different logging data, the initial coordinates, the target sampling intervals and the depth values and curve values of the target sampling points of the logging data are specified, and the problem that data collision is unavailable due to different initial depth values and sampling intervals of different logging data of the same well can be effectively solved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for processing well log data according to an embodiment of the present disclosure;
FIG. 2 is a second schematic flow chart of a well log data processing method according to an embodiment of the present application;
FIG. 3 is a block diagram of one embodiment of a well logging data processing apparatus;
FIG. 4 is a second block diagram of a logging data processing apparatus according to an embodiment of the present application;
FIG. 5 is a third block diagram of a well logging data processing device according to an embodiment of the present application;
FIG. 6 is a fourth block diagram of a logging data processing device in an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Considering that the depth sampling interval and depth value of the logging data are different because different curves of the same well may not be measured by the same batch and the same logging instrument when the logging data are measured, the data uploaded or pushed to the data platform is likely to contain such a part of the logging data. When downloading the logging data, the logging data processing method and device can not be downloaded due to different logging data depth points and sampling intervals under one well, the application provides a logging data processing method and device, by placing the original logging data in a preset coordinate system, and determining the coordinate data of two adjacent initial sampling points in the logging data in the preset coordinate system, so as to further determine the corresponding relation between the depth value and the curve value between the coordinate data of the two adjacent initial sampling points (i.e. within one initial sampling interval), and by uniformly setting the initial coordinate and the target sampling interval of the logging data, determining the target depth value and the corresponding initial sampling interval of each target sampling point in the logging data in the preset coordinate system (i.e. within which initial sampling interval the depth value of the target sampling point falls), and combining the corresponding relation between the depth value and the curve value of the initial sampling interval, the target curve values of the target sampling points are obtained, so that the resampling of different logging data is completed, the initial coordinates, the target sampling intervals and the depth values and curve values of the target sampling points of the logging data are specified, and the problem that data conflict is unavailable due to different initial depth values and sampling intervals of different logging data of the same well can be effectively solved.
In order to effectively solve the problem that data collision is unavailable due to different initial depth values and sampling intervals of different logging data of the same well, the application provides an embodiment of a logging data processing method, which specifically includes the following steps, with reference to fig. 1:
step S101: and determining the corresponding relation between the depth value of each initial sampling interval of the logging data and the curve value according to the coordinate data of two adjacent initial sampling points of the logging data in a preset coordinate system.
It can be understood that different logging data often have different initial coordinates and sampling intervals, and then when leading to downloading the logging data that a plurality of logging devices of the same well gathered among the practical production application, produce the problem that the data does not correspond easily, and then influence follow-up data analysis work, consequently this application provides one kind and carries out the technical scheme who resamples the processing to each logging data to the logging data of each difference of unified standard.
Optionally, the present application firstly needs to determine what linear variation law exists between two adjacent initial sampling points in a certain logging data, and since the two adjacent initial sampling points lack original sampling point data, the key of resampling is to determine what corresponding relationship a depth value and a curve value have between the two adjacent initial sampling points.
Optionally, a coordinate system is preset in the application, and the logging data is set in the preset coordinate system to determine the coordinate data of each initial sampling point, specifically, the direction in which the vertical depth of the logging curve decreases may be taken as a Y-axis, the original arbitrary two adjacent initial sampling points of the logging curve with smaller depth may be taken as an origin, the direction in which the value of the curve perpendicular to the Y-axis increases through the origin is taken as an X-axis to establish a rectangular plane coordinate system, the establishment of the preset coordinate system may also be based on other rules, and the coordinate data of each initial sampling point may be determined.
Optionally, the corresponding relationship between the depth value and the curve value between the two coordinates can be further obtained after the coordinate data of the two initial sampling points are obtained.
In one example, two coordinates may be connected to form a straight line, and a first order quadratic linear equation expression of the straight line may be obtained according to specific coordinate values of the two coordinates, so as to represent the corresponding relationship between the depth value and the curve value between the two coordinates.
In another example, a curve may be formed by connecting coordinate values of a plurality of adjacent initial sampling points, and a curve equation expression of the curve may be obtained according to the specific coordinate value of each coordinate, so as to represent the corresponding relationship between the depth value and the curve value between two coordinates.
Step S102: and determining the target depth value of each target sampling point in the logging data according to the preset initial coordinate and the preset target sampling interval of the logging data in the preset coordinate system, and determining the corresponding initial sampling interval according to the target depth value of the target sampling point.
It can be understood that different logging data often have different initial coordinates and sampling intervals, and then when the logging data collected by a plurality of logging devices of the same well are downloaded in actual production application, the problem that the data do not correspond is easily generated, and then subsequent data analysis work is influenced, so that the initial coordinates and the sampling intervals of the logging data need to be set in a unified manner again, and the coordinate data (especially the depth value) of the target sampling point after the initial coordinates and the sampling intervals are set in a unified manner again is determined.
It is understood that the target depth value of the target sampling point may be obtained by an arithmetic progression of "curve depth ═ start depth + (N-1) × sampling interval", where N is an nth target sampling point, for example, setting a preset start coordinate (i.e., start depth) of a log data to 100m, calculating a target depth value corresponding to a 100 th target sampling point, and setting a preset target sampling interval to 0.5m, and then substituting the above arithmetic progression formula to obtain the target depth value of the 100 th target sampling point as 100+ (100-1) × 0.5 ═ 149.5 m.
It can be understood that, since the coordinate data of each initial sampling point is known after the original logging data is set in the preset coordinate system in step S101, that is, the initial depth value of each initial sampling point is known, by numerically comparing the target depth value with each initial depth value, the target sampling point can be located between which two adjacent initial sampling points, that is, the initial sampling interval corresponding to the target sampling point is determined.
Step S103: and obtaining a target curve value of the target sampling point according to the corresponding relation between the target depth value of the target sampling point and the depth value of the initial sampling interval and the curve value.
It can be understood that, in the step S101, the corresponding relationship between the depth value of each initial sampling interval and the curve value is known, and in the step S102, the target depth value of the target collection point and which initial sampling interval the target sampling point corresponds to are known, so that the target depth value of the target sampling point can be substituted into the corresponding relationship between the depth value of the corresponding initial sampling interval and the curve value, and further the target curve value of each target sampling point can be obtained, thereby completing the resampling of each different logging data, that is, each different logging data has a uniform initial coordinate and sampling interval, and the depth value and the curve value of each target sampling point are also clarified.
As can be seen from the above description, the method for processing logging data provided in this embodiment of the present application can further determine the corresponding relationship between the depth values and the curve values between the coordinate data of two adjacent initial sampling points (i.e. within one initial sampling interval) by placing the original logging data in a preset coordinate system and determining the coordinate data of the two adjacent initial sampling points in the logging data in the preset coordinate system, determine the target depth values of the target sampling points in the preset coordinate system and the corresponding initial sampling intervals (i.e. within which initial sampling interval the depth values of the target sampling points fall) in the logging data by uniformly setting the initial coordinates and the target sampling intervals of the logging data, obtain the target curve values of the target sampling points by combining the corresponding relationship between the depth values and the curve values of the initial sampling intervals, thereby completing the resampling of different logging data, the initial coordinates, the target sampling intervals and the depth values and curve values of the target sampling points of the logging data are specified, and the problem that data collision is unavailable due to different initial depth values and sampling intervals of different logging data of the same well can be effectively solved.
In order to accurately represent the linear change law existing between two adjacent initial sampling points, in an embodiment of the log data processing method of the present application, referring to fig. 2, the following contents are further specifically included:
step S201: and obtaining the slope and the offset of the straight line relative to the preset coordinate system according to a straight line formed by connecting two coordinate values of the two adjacent initial sampling points in the preset coordinate system, wherein the offset is a corresponding horizontal axis value when the extension line of the straight line is intersected with the horizontal axis of the preset coordinate system.
Step S202: and determining the corresponding relation between the depth value and the curve value according to the slope and the offset.
It can be understood that two coordinate values of two adjacent initial sampling points in the preset coordinate system may be connected to form a straight line, and a unary quadratic linear equation expression of the straight line may be obtained according to the specific coordinate values of the two coordinates, so as to represent the corresponding relationship between the depth value and the curve value between the two coordinates.
Specifically, since two coordinate values on the straight line are known, the slope of the straight line relative to a preset coordinate system can be obtained; and extending the straight line, obtaining the offset of the straight line when the extension line of the straight line is intersected with the horizontal axis of the preset coordinate system (namely when the Y-axis coordinate is 0), and obtaining a unitary quadratic thread equation expression of the straight line according to the slope and the offset, wherein the expression can represent the corresponding relation between the depth value and the curve value between two adjacent initial sampling points.
In order to further characterize the linear change law existing between two adjacent initial sampling points, in an embodiment of the method for processing logging data of the present application, the following is further included: the expression of the corresponding relation between the depth value and the curve value is as follows: x is the curve value, a is the slope, Y is the depth value, and B is the offset.
In order to determine which initial sampling interval the target sampling point specifically corresponds to, in an embodiment of the method for processing logging data of the present application, the following is further specifically included: and determining two adjacent initial sampling points and corresponding initial sampling intervals, wherein the initial depth value in the coordinate data of each initial sampling point is closest to the target depth value.
It can be understood that, since the coordinate data of each initial sampling point is known after the original logging data is set in the preset coordinate system in step S101, that is, the initial depth value of each initial sampling point is known, by numerically comparing the target depth value with each initial depth value, the target sampling point can be located between which two adjacent initial sampling points, that is, the initial sampling interval corresponding to the target sampling point is determined.
For example, there are 5 initial sampling points A, B, C, D, E, and the initial depth values of the initial sampling points in the preset coordinate system are a: 0. b: 10. c: 20. d: 30. e: 40, when the target depth value of a target sampling point obtained in step S102 is 15, by comparing the target depth value with each of the initial depth values, it is known that two adjacent initial sampling points closest to the target depth value are B and C, and therefore it can be determined that the target sampling point is located between the initial sampling points B and C, that is, the target sampling point corresponds to the initial sampling interval formed by the initial sampling points B and C.
In order to determine a target curve value of a target sampling point according to a linear change rule of an initial sampling interval, in an embodiment of the method for processing logging data, the method further includes the following steps: and obtaining the target curve value according to the corresponding relation between the target depth value and the target curve value in the expression of the corresponding relation between the target depth value and the curve value.
In order to effectively solve the problem that data collision is unavailable due to different initial depth values and sampling intervals of different logging data of the same well, the present application provides an embodiment of a logging data processing apparatus for implementing all or part of the logging data processing method, and referring to fig. 3, the logging data processing apparatus specifically includes the following contents:
the corresponding relation determining module 10 is configured to determine, according to coordinate data of two adjacent initial sampling points of the logging data in a preset coordinate system, a corresponding relation between a depth value of each initial sampling interval of the logging data and a curve value.
And the target depth value determining module 20 is configured to determine a target depth value of each target sampling point in the logging data according to a preset initial coordinate and a preset target sampling interval of the logging data in the preset coordinate system, and determine the corresponding initial sampling interval according to the target depth value of the target sampling point.
And the target curve value determining module 30 is configured to obtain a target curve value of the target sampling point according to a target depth value of the target sampling point and a corresponding relationship between the depth value of the initial sampling interval and the curve value.
As can be seen from the above description, the logging data processing apparatus provided in this embodiment of the present application is capable of further determining the corresponding relationship between the depth values and the curve values between the coordinate data of two adjacent initial sampling points (i.e. within one initial sampling interval) by placing the original logging data in a preset coordinate system and determining the coordinate data of the two adjacent initial sampling points in the logging data in the preset coordinate system, determining the target depth values of the target sampling points in the preset coordinate system and the corresponding initial sampling intervals (i.e. within which initial sampling interval the depth values of the target sampling points fall) in the logging data by uniformly setting the initial coordinates and the target sampling intervals of the logging data, obtaining the target curve values of the target sampling points by combining the corresponding relationship between the depth values and the curve values of the initial sampling intervals, thereby completing the resampling of different logging data, the initial coordinates, the target sampling intervals and the depth values and curve values of the target sampling points of the logging data are specified, and the problem that data collision is unavailable due to different initial depth values and sampling intervals of different logging data of the same well can be effectively solved.
In order to accurately characterize the linear variation law existing between two adjacent initial sampling points, in an embodiment of the logging data processing apparatus of the present application, referring to fig. 4, the correspondence relation determining module 10 includes:
and the slope and offset determining unit 11 is configured to obtain a slope and an offset of the straight line relative to the preset coordinate system according to a straight line formed by connecting two coordinate values of the two adjacent initial sampling points in the preset coordinate system, where the offset is a horizontal axis value corresponding to a case where an extension line of the straight line intersects a horizontal axis of the preset coordinate system.
A corresponding relation determining unit 12, configured to determine a corresponding relation between the depth value and a curve value according to the slope and the offset.
In order to be able to determine which initial sampling interval the target sampling point specifically corresponds to, in an embodiment of the logging data processing apparatus of the present application, referring to fig. 5, the target depth value determination module 20 includes:
an initial sampling interval determining unit 21, configured to determine two adjacent initial sampling points and corresponding initial sampling intervals, where an initial depth value in the coordinate data of each initial sampling point is closest to the target depth value.
In order to determine the target curve value of the target sampling point according to the linear variation rule of the initial sampling interval, in an embodiment of the logging data processing apparatus of the present application, referring to fig. 6, the target curve value determining module 30 includes:
and the expression operation unit 31 is configured to obtain the target curve value according to the target depth value and the corresponding relationship between the target depth value and the target curve value in the expression of the corresponding relationship between the depth value and the curve value.
In order to further explain the scheme, the present application further provides a specific application example of implementing the logging data processing method by using the above logging data processing apparatus, which specifically includes the following contents:
step 1, establishing a planar rectangular coordinate system by taking the direction of the vertical depth reduction of a logging curve as a Y axis, taking any two original adjacent points of the logging curve with smaller depth of an initial sampling point as an original point and taking the direction of the original point perpendicular to the Y axis curve value increase as an X axis;
step 2, making a straight line through the two adjacent initial sampling points, solving an equation of the straight line, and using Y as an expression of X, that is, solving a corresponding linear equation (connecting any two adjacent initial sampling points to form a unitary secondary linear equation X ═ AY + B, where X is a curve value corresponding to the sampling points, Y is a depth value corresponding to the sampling points, a is a slope between the two initial sampling points, and B is an X-axis value corresponding to a straight line passing through the two initial sampling points and an X-axis focus);
step 3, using an arithmetic progression consisting of "curve depth ═ start depth + (N-1) × sampling interval", to obtain a depth value of a target sampling point corresponding to an nth point of the target sampling interval (for example, if the start depth corresponding to a first sampling point of a certain logging curve is 100m, we want to calculate the depth corresponding to the 100 th sampling point, and the sampling interval between sampling points is 0.5m, then we bring into a formula, where the curve depth is 100+ (100-1) × 0.5 is 149.5 m);
and 4, the depth value of each new target sampling point is determined to fall between the depths of some original adjacent initial sampling points (no matter how the resampling sampling interval is changed, the starting depth and the ending depth of a curve are fixed, so that the depth ranges of the sampling points of the curve before resampling and the sampling points after resampling are the same, the depth corresponding to each sampling point after resampling is not the same as the depth of some sampling point before resampling or falls between the depths of some adjacent sampling points before resampling), namely, a certain new target sampling point is determined to meet the linear equation between some two adjacent initial sampling points, and the new arbitrary target sampling point depth is brought into the corresponding linear equation, so that the corresponding curve value X can be solved.
As can be seen from the above, the present application can also achieve the following technical effects: when the logging curves are downloaded, a sampling rate is filled, and all the logging curves downloaded from the wells are resampled into uniform depth points and sampling intervals.
In another embodiment of the present application, when the data platform pushes well position and well head data to each software work area, the original well position and well head coordinate numbers may not be consistent with the projection system numbers corresponding to the software work areas, and the well point and well head data pushed from the data platform to the software work area will not be automatically converted into the coordinates in the projection system numbers where the software work areas are located, so that the coordinates of the well position and well head will be wrong, and the corresponding well will not be normally displayed in the software work area.
Therefore, when the data of the well position and the well head is pushed, the data platform needs to judge whether the original coordinates of the well position and the well head have belt numbers (the ellipsoid of the earth is divided into a plurality of projection belts according to a certain warp difference, which is the most effective method for limiting length deformation in projection, the belt division needs to control the length deformation not to be larger than a mapping error, and the belt numbers are not too much to reduce belt changing calculation work, so that the ellipsoid of the earth is divided into melon petal-shaped zones with equal warp difference along the meridian so as to be subjected to belt dividing projection, the ellipsoid of the earth is divided into six-degree zones or three-degree zones according to the warp difference of 6 degrees or 3 degrees, the six-degree zones are divided from west to east at intervals of 6 degrees from the 0-degree meridian, the belt numbers are sequentially coded into the 1 st and 2 … 60 th zones, the three-degree zones are divided on the basis of the six-degree zones, the central meridian of the data platform coincides with the central meridian and the dividing zones of the six-degree zones, namely, the meridian of the central meridian and the dividing zones of the east from west, the tape numbers are sequentially numbered as the 1 st and 2 … 120 nd tapes of the third-degree tape), if the tape numbers are not used, the same tape numbers as those of the software work area projection system need to be added. If the pushed well position and well head are provided with numbers, whether the well position and the numbers provided by the well head are consistent with the numbers provided by the projection system of the software work area needs to be judged, if the well position and the numbers provided by the well head are inconsistent, the original coordinates of the well position and the well point need to be converted into the coordinates provided by the projection system of the software work area through an algorithm in advance, and then the original coordinates and the converted coordinates of the well position and the well point are correspondingly inserted into the well position of the software work area, the original coordinates corresponding to the well point and the converted coordinate field respectively, so that the well point and well head data can be pushed to the software work area to be normally used.
The method and the system can also convert coordinates between the data platform and each mainstream software through the coordinate conversion when the well data are pushed in a bidirectional circulation mode, even if a projection system corresponding to the original coordinates of the well data is inconsistent with a projection system of a target library, the coordinates can be converted into the coordinates of the target library in advance through the existing seven-parameter algorithm, and therefore the foundation of well data sharing is laid.
An embodiment of the present application further provides a specific implementation manner of an electronic device capable of implementing all steps in the logging data processing method in the foregoing embodiment, and referring to fig. 7, the electronic device specifically includes the following contents:
a processor (processor)601, a memory (memory)602, a communication Interface (Communications Interface)603, and a bus 604;
the processor 601, the memory 602 and the communication interface 603 complete mutual communication through the bus 604; the communication interface 603 is used for realizing information transmission among the logging data processing device, the online service system, the client device and other participating mechanisms;
the processor 601 is used to call the computer program in the memory 602, and the processor executes the computer program to implement all the steps in the logging data processing method in the above embodiments, for example, the processor executes the computer program to implement the following steps:
step S101: and determining the corresponding relation between the depth value of each initial sampling interval of the logging data and the curve value according to the coordinate data of two adjacent initial sampling points of the logging data in a preset coordinate system.
Step S102: and determining the target depth value of each target sampling point in the logging data according to the preset initial coordinate and the preset target sampling interval of the logging data in the preset coordinate system, and determining the corresponding initial sampling interval according to the target depth value of the target sampling point.
Step S103: and obtaining a target curve value of the target sampling point according to the corresponding relation between the target depth value of the target sampling point and the depth value of the initial sampling interval and the curve value.
As can be seen from the above description, the electronic device provided in this embodiment of the present application is capable of further determining the corresponding relationship between the depth values and the curve values between the coordinate data of two adjacent initial sampling points (i.e. within one initial sampling interval) in a preset coordinate system by placing the original logging data in the preset coordinate system and determining the coordinate data of the two adjacent initial sampling points in the logging data in the preset coordinate system, determining the target depth values and the corresponding initial sampling intervals (i.e. within which initial sampling interval the depth values of the target sampling points fall) of the target sampling points in the logging data in the preset coordinate system by uniformly setting the initial coordinates and the target sampling intervals of the logging data, obtaining the target curve values of the target sampling points by combining the corresponding relationship between the depth values and the curve values of the initial sampling intervals, thereby completing resampling of different logging data, the initial coordinates, the target sampling intervals and the depth values and curve values of the target sampling points of the logging data are specified, and the problem that data collision is unavailable due to different initial depth values and sampling intervals of different logging data of the same well can be effectively solved.
Embodiments of the present application further provide a computer-readable storage medium capable of implementing all the steps in the logging data processing method in the foregoing embodiments, where the computer-readable storage medium stores thereon a computer program, and when the computer program is executed by a processor, the computer program implements all the steps in the logging data processing method in the foregoing embodiments, for example, when the processor executes the computer program, the processor implements the following steps:
step S101: and determining the corresponding relation between the depth value of each initial sampling interval of the logging data and the curve value according to the coordinate data of two adjacent initial sampling points of the logging data in a preset coordinate system.
Step S102: and determining the target depth value of each target sampling point in the logging data according to the preset initial coordinate and the preset target sampling interval of the logging data in the preset coordinate system, and determining the corresponding initial sampling interval according to the target depth value of the target sampling point.
Step S103: and obtaining a target curve value of the target sampling point according to the corresponding relation between the target depth value of the target sampling point and the depth value of the initial sampling interval and the curve value.
As can be seen from the above description, the computer-readable storage medium provided in this embodiment of the present application is capable of further determining the corresponding relationship between the depth values and the curve values between the coordinate data of two adjacent initial sampling points (i.e. within one initial sampling interval) by placing the original logging data in a preset coordinate system and determining the coordinate data of the two adjacent initial sampling points in the logging data in the preset coordinate system, determining the target depth values of the target sampling points in the logging data in the preset coordinate system and the corresponding initial sampling intervals (i.e. within which initial sampling interval the depth values of the target sampling points fall) by uniformly setting the initial coordinates and the target sampling intervals of the logging data, obtaining the target curve values of the target sampling points by combining the corresponding relationship between the depth values and the curve values of the initial sampling intervals, thereby completing the resampling of different logging data, the initial coordinates, the target sampling intervals and the depth values and curve values of the target sampling points of the logging data are specified, and the problem that data collision is unavailable due to different initial depth values and sampling intervals of different logging data of the same well can be effectively solved.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Although the present application provides method steps as described in an embodiment or flowchart, additional or fewer steps may be included based on conventional or non-inventive efforts. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a vehicle-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
The embodiments of this specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The described embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.
Claims (11)
1. A method of processing well log data, the method comprising:
determining the corresponding relation between the depth value of each initial sampling interval of the logging data and the curve value according to the coordinate data of two adjacent initial sampling points of the logging data in a preset coordinate system;
determining a target depth value of each target sampling point in the logging data according to a preset initial coordinate and a preset target sampling interval of the logging data in the preset coordinate system, and determining a corresponding initial sampling interval according to the target depth value of the target sampling point;
and obtaining a target curve value of the target sampling point according to the corresponding relation between the target depth value of the target sampling point and the depth value of the initial sampling interval and the curve value.
2. The method for processing the logging data according to claim 1, wherein the determining the corresponding relationship between the depth value and the curve value of each initial sampling interval of the logging data according to the coordinate data of two adjacent initial sampling points of the logging data in the preset coordinate system comprises:
obtaining the slope and the offset of the straight line relative to the preset coordinate system according to a straight line formed by connecting two coordinate values of the two adjacent initial sampling points in the preset coordinate system, wherein the offset is a horizontal axis value corresponding to the intersection of the extension line of the straight line and the horizontal axis of the preset coordinate system;
and determining the corresponding relation between the depth value and the curve value according to the slope and the offset.
3. The method of claim 2, wherein determining the correspondence of the depth value to a curve value based on the slope and the offset comprises:
the expression of the corresponding relation between the depth value and the curve value is as follows: x is equal to AY + B,
wherein X is the curve value, A is the slope, Y is the depth value, and B is the offset.
4. The method of claim 1, wherein determining the corresponding initial sampling interval according to the target depth values of the target sampling points comprises:
and determining two adjacent initial sampling points and corresponding initial sampling intervals, wherein the initial depth value in the coordinate data of each initial sampling point is closest to the target depth value.
5. The method of claim 3, wherein obtaining the target curve value of the target sampling point according to the target depth value of the target sampling point and the corresponding relationship between the depth value of the initial sampling interval and the curve value comprises:
and obtaining the target curve value according to the corresponding relation between the target depth value and the target curve value in the expression of the corresponding relation between the target depth value and the curve value.
6. A well log data processing apparatus, comprising:
the corresponding relation determining module is used for determining the corresponding relation between the depth value and the curve value of each initial sampling interval of the logging data according to the coordinate data of two adjacent initial sampling points of the logging data in a preset coordinate system;
the target depth value determining module is used for determining a target depth value of each target sampling point in the logging data according to a preset initial coordinate and a preset target sampling interval of the logging data in the preset coordinate system, and determining the corresponding initial sampling interval according to the target depth value of the target sampling point;
and the target curve value determining module is used for obtaining the target curve value of the target sampling point according to the target depth value of the target sampling point and the corresponding relation between the depth value of the initial sampling interval and the curve value.
7. The well logging data processing device of claim 6, wherein the correspondence determining module comprises:
the slope and offset determining unit is used for obtaining the slope and the offset of the straight line relative to the preset coordinate system according to the straight line formed by connecting two coordinate values of the two adjacent initial sampling points in the preset coordinate system, wherein the offset is a horizontal axis value corresponding to the intersection of the extension line of the straight line and the horizontal axis of the preset coordinate system;
and the corresponding relation determining unit is used for determining the corresponding relation between the depth value and the curve value according to the slope and the offset.
8. The well logging data processing device of claim 6, wherein the target depth value determination module comprises:
and the initial sampling interval determining unit is used for determining two adjacent initial sampling points and corresponding initial sampling intervals, wherein the initial depth values in the coordinate data of the initial sampling points are closest to the target depth value.
9. The well logging data processing device of claim 6, wherein said target curve value determination module comprises:
and the expression operation unit is used for obtaining the target curve value according to the corresponding relation between the target depth value and the target curve value in the expression of the corresponding relation between the target depth value and the curve value.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of processing well log data according to any of claims 1 to 5 are implemented when the program is executed by the processor.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of processing well log data according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910847283.6A CN112464054A (en) | 2019-09-09 | 2019-09-09 | Logging data processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910847283.6A CN112464054A (en) | 2019-09-09 | 2019-09-09 | Logging data processing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112464054A true CN112464054A (en) | 2021-03-09 |
Family
ID=74807502
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910847283.6A Pending CN112464054A (en) | 2019-09-09 | 2019-09-09 | Logging data processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112464054A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116188627A (en) * | 2023-04-26 | 2023-05-30 | 广州海洋地质调查局三亚南海地质研究所 | Logging curve digitizing method and device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB1440521A (en) * | 1972-07-31 | 1976-06-23 | Schlumberger Inland Service | Well logging data processing technique |
| US4276599A (en) * | 1972-07-31 | 1981-06-30 | Schlumberger Technology Corporation | Method of processing well logging data |
| CN103969682A (en) * | 2013-01-28 | 2014-08-06 | 中国石油集团东方地球物理勘探有限责任公司 | Drilling and logging data depth matching method and system |
| CN106154322A (en) * | 2016-08-02 | 2016-11-23 | 中国石油天然气集团公司 | Log curve correction method and apparatus |
| CN107956465A (en) * | 2017-10-12 | 2018-04-24 | 中国石油天然气集团公司 | The more borehole logging tool log normalization method and devices of the whole district based on association well |
| US20210181370A1 (en) * | 2017-10-30 | 2021-06-17 | Schlumberger Technology Corporation | System and method for automatic well log depth matching |
-
2019
- 2019-09-09 CN CN201910847283.6A patent/CN112464054A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB1440521A (en) * | 1972-07-31 | 1976-06-23 | Schlumberger Inland Service | Well logging data processing technique |
| US4276599A (en) * | 1972-07-31 | 1981-06-30 | Schlumberger Technology Corporation | Method of processing well logging data |
| CN103969682A (en) * | 2013-01-28 | 2014-08-06 | 中国石油集团东方地球物理勘探有限责任公司 | Drilling and logging data depth matching method and system |
| CN106154322A (en) * | 2016-08-02 | 2016-11-23 | 中国石油天然气集团公司 | Log curve correction method and apparatus |
| CN107956465A (en) * | 2017-10-12 | 2018-04-24 | 中国石油天然气集团公司 | The more borehole logging tool log normalization method and devices of the whole district based on association well |
| US20210181370A1 (en) * | 2017-10-30 | 2021-06-17 | Schlumberger Technology Corporation | System and method for automatic well log depth matching |
Non-Patent Citations (1)
| Title |
|---|
| 刘瑞超;: "大庆油田常规测井数据管理研究", 软件导刊, vol. 1, no. 04, pages 164 - 166 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116188627A (en) * | 2023-04-26 | 2023-05-30 | 广州海洋地质调查局三亚南海地质研究所 | Logging curve digitizing method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109242300B (en) | Method and device for displaying service index value and computer equipment | |
| CN103455396A (en) | Test method and test device of hardware performance of electronic equipment | |
| CN109144511B (en) | Method and system for automatically generating numerical simulation graphical user interface | |
| CN110187923A (en) | A kind of CPU starting method and apparatus applied to multi -CPU board | |
| CN107168961B (en) | Data display method and device for chart | |
| WO2024041400A1 (en) | Model training task scheduling method and apparatus, and electronic device | |
| CN110333843B (en) | Method and device for realizing high-precision timer of virtual machine and electronic equipment | |
| CN112464054A (en) | Logging data processing method and device | |
| CN116011562A (en) | Operator processing method, operator processing device, electronic device and readable storage medium | |
| CN110020333A (en) | Data analysing method and device, electronic equipment, storage medium | |
| CN108564352A (en) | The processing method and processing device of e-sourcing information | |
| CN112486589B (en) | System configuration item management method and device, electronic equipment and storage medium | |
| CN110134598A (en) | A kind of batch processing method, apparatus and system | |
| CN107239889B (en) | Method for quantitatively evaluating building vulnerability of mountainous area under debris flow stress | |
| CN109102200A (en) | A kind of timed task processing method and processing device | |
| CN111637897B (en) | Map updating method, map updating device, storage medium, and processor | |
| CN108744517B (en) | Audio processing method, device, terminal and storage medium | |
| CN111737784B (en) | Board card type selection configuration method and equipment based on digital three-dimensional ZXMP S385 subframe | |
| CN114817209A (en) | Monitoring rule processing method and device, processor and electronic equipment | |
| CN114679468B (en) | File transmission method and device, electronic equipment and computer readable storage medium | |
| CN117094268B (en) | Inter-grid data transmission method and device, storage medium and electronic equipment | |
| CN112394868A (en) | Method and device for positioning target information in webpage popup frame | |
| CN117092698A (en) | Seismic data reconstruction method, processor and storage medium based on binary tree structure | |
| CN116501653B (en) | Software regression testing method and device | |
| CN112653595B (en) | Chip network function testing method and device, storage medium and equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |