CN115788397A - Horizontal well continuous profile generation method and device and storage medium - Google Patents

Horizontal well continuous profile generation method and device and storage medium Download PDF

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Publication number
CN115788397A
CN115788397A CN202111060222.9A CN202111060222A CN115788397A CN 115788397 A CN115788397 A CN 115788397A CN 202111060222 A CN202111060222 A CN 202111060222A CN 115788397 A CN115788397 A CN 115788397A
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points
parameter
well
track
coordinates
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张理慧
钱宇明
王汉钧
崔京彬
白雪莲
王文涛
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China National Petroleum Corp
BGP Inc
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China National Petroleum Corp
BGP Inc
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Abstract

The invention provides a method and a device for generating a horizontal well connecting profile and a storage medium, and belongs to the technical field of exploration and development. The generation method comprises the following steps: obtaining coordinates of control points of two horizontal wells, wherein the control points are end points of equal segments, and the equal segments are a plurality of well segments which are continuously connected in the horizontal well and have the same length; forming a triangulation network model based on the coordinates of the control points on the two horizontal wells, wherein the triangulation network model is a plane equation formed according to the three control points; and performing texture mapping on the triangulation network model according to the seismic data to generate the well connecting section. The method and the device can generate the well connecting section reflecting the well track of the horizontal well, and are convenient for visually observing various data information of the stratum.

Description

Horizontal well continuous profile generation method and device and storage medium
Technical Field
The disclosure relates to the technical field of exploration and development, in particular to a method and a device for generating a horizontal well connecting profile and a storage medium.
Background
With the development of oil and gas exploration, the work on visualization research by using seismic profiles becomes more and more important. Well-to-well cross-sections of wells formed in the formation are important visualization tools that can display geological information and heterogeneity of hydrocarbon reservoirs in the vertical direction. The method has intuition on stratum contrast research, construction, reservoir and reservoir formation condition analysis.
In the related art, when a continuous well profile is generated, two wells to be connected are determined, well data of the two wells to be connected are selected from a database, and wellhead coordinates and bottom coordinates of the two wells are extracted. Determining a plane equation passing through the two wells simultaneously based on the wellhead coordinates and the bottom coordinates of the two wells; and then, performing texture mapping on the plane equation to obtain a two-dimensional well connecting section.
However, for the well connecting section of the horizontal well, the well trajectory is a space curve with well deviation and orientation gradually changing, and the whole well section consists of a plurality of arcs with unequal curvatures. If the method in the related technology is still adopted, the seismic data are projected on a plane, and the obtained well connecting section is difficult to display the well track of the horizontal well, so that various data information of the stratum is difficult to observe intuitively through the well connecting section.
Disclosure of Invention
The embodiment of the disclosure provides a method and a device for generating a horizontal well connecting profile and a storage medium, which can generate a connecting profile reflecting a well track of a horizontal well and facilitate visual observation of various data information of a stratum. The technical scheme is as follows:
in a first aspect, an embodiment of the present disclosure provides a method for generating a horizontal well connected section, where the method includes: obtaining coordinates of control points of two horizontal wells, wherein the control points are end points of equal segments, and the equal segments are a plurality of well segments which are continuously connected in the horizontal well and have the same length; forming a triangulation network model based on the coordinates of the control points on the two horizontal wells, wherein the triangulation network model is a plane equation formed according to the three control points; and performing texture mapping on the triangulation network model according to the seismic data to generate the well connecting profile.
In an implementation manner of the embodiment of the present disclosure, the obtaining coordinates of control points of two horizontal wells includes: obtaining coordinates of a plurality of track points of the horizontal well, wherein two adjacent track points in the plurality of track points form a track section; determining the length of each track segment based on the coordinates of the track points; and determining the coordinates of the control points based on the coordinates of the track segments, the equal segments and the track points.
In another implementation manner of the embodiment of the present disclosure, the determining coordinates of the control point based on the coordinates of the track segment, the equal segments, and the track point includes: accumulating the track sections section by section until the sum of the lengths of the first m track sections is not less than the sum of the lengths of the first n equal sections, wherein m and n are positive integers; determining the absolute value of the difference between the sum of the lengths of the first m-1 track segments and the sum of the lengths of the first n equal segments, and determining the ratio of the absolute value to the mth track segment as a proportional parameter; and determining the coordinates of the control points based on the proportional parameters, the coordinates of the mth track point and the coordinates of the (m + 1) th track point.
In another implementation manner of the embodiment of the present disclosure, the forming a triangulation network model based on coordinates of the control points on the two horizontal wells includes: constructing a plane equation based on the nth control point, the (n + 1) th control point and the nth control point of another horizontal well; constructing a plane equation based on the (n + 1) th control point of one horizontal well, the nth control point and the (n + 1) th control point of the other horizontal well; and determining the set of the plane equations as the triangulation network model.
In another implementation of the embodiments of the present disclosure, the texture mapping the triangulation model according to the seismic data to generate the well-connected profile includes: acquiring data points which correspond to parameter points on the triangulation network model one to one in the seismic data, wherein the parameter points are points on a plane equation of the triangulation network model; determining voxel values of the corresponding parameter points based on the data points; and performing texture mapping on the triangulation network model according to the voxel value of each parameter point.
In another implementation manner of the embodiment of the present disclosure, the determining the voxel value of the corresponding parameter point based on the data point includes: determining a parameter upper limit value and a parameter lower limit value, wherein the parameter upper limit value is the numerical maximum value in all the data points, and the parameter lower limit value is the numerical minimum value in all the data points; and determining the voxel value of the parameter point based on the parameter value, the parameter upper limit value and the parameter lower limit value of the data point corresponding to each parameter point.
In another implementation manner of the embodiment of the present disclosure, after performing texture mapping on the triangulation network model according to the voxel value of each of the parameter points, the method further includes: obtaining the curvature of a curve where each parameter point is located; and according to the direct proportion relation between the curvature and the light intensity, enhancing the illumination intensity of each parameter point on the well-connecting profile.
In a second aspect, an embodiment of the present disclosure provides a device for generating a horizontal well continuous section, where the device includes: the acquisition module is used for acquiring coordinates of control points of two horizontal wells, wherein the control points are end points of equal sections, and the equal sections are a plurality of continuously connected well sections with equal lengths in the horizontal wells; the determining module is used for forming a triangulation network model based on the coordinates of the control points on the two horizontal wells, and the triangulation network model is a plane equation formed by the three control points; and the generation module is used for performing texture mapping on the triangular mesh model according to the seismic data to generate the well connecting section.
In a third aspect, an embodiment of the present disclosure provides a method and an apparatus for generating a horizontal well connected section, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method for generating a horizontal well-tie profile as described above.
In a fourth aspect, embodiments of the present disclosure provide a computer-readable storage medium comprising at least one instruction which, when executed by a processor, performs a method for generating a horizontal well string profile as described above.
The technical scheme provided by the embodiment of the disclosure has the following beneficial effects:
according to the method for generating the horizontal well connecting section, coordinates of control points of the horizontal well are obtained, the control points are end points of equal segments of the horizontal well, and connecting lines of the obtained control points are in accordance with the extending track of the horizontal well; the triangulation network model is a plane equation formed according to the three control points, so that the formed triangulation network model also meets the extension track of the horizontal well, and the obtained well-connecting section is a curved surface formed by combining a plurality of plane equations after the triangulation network model is subjected to texture mapping through seismic data. According to the horizontal well continuous profile, the curved surface which accords with the extension track of the horizontal well is formed through the control points which accord with the extension track of the horizontal well so as to form the three-dimensional continuous well profile, and the continuous well profile can reflect the well track of the horizontal well and is convenient for intuitively observing various data information of a stratum.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is apparent that the drawings in the description below are only some embodiments of the present disclosure, and it is obvious for those skilled in the art that other drawings may be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of a well-connecting section provided in the related art;
fig. 2 is a flowchart of a method for generating a horizontal well string profile according to an embodiment of the present disclosure;
FIG. 3 is a flow chart of another method for generating a horizontal well string profile provided by an embodiment of the present disclosure;
FIG. 4 is a schematic diagram illustrating a distribution of horizontal uphole track points provided by an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of a triangulation network model provided by an embodiment of the disclosure;
FIG. 6 is a schematic illustration of a horizontal well string section provided by an embodiment of the present disclosure;
fig. 7 is a schematic diagram of a device for generating a horizontal well string profile according to an embodiment of the present disclosure;
fig. 8 is a block diagram of a computer device according to an embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the present disclosure more apparent, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a well-connecting section provided in the related art. As shown in fig. 1, in the related art, when a well-tie section is generated, two wells (Q1, Q2) to be connected are determined, and the determined extended trajectories of the two wells are used as boundaries of the well-tie section of a horizontal well. Next, well data of two wells to be connected is selected from the database, and the well data may include the coordinates of the top and bottom of the two wells.
Determining a plane equation passing through the two wells simultaneously based on the wellhead coordinates and the bottom coordinates of the two wells; determining data points corresponding to each point on the plane equation in the seismic data, for example, when the seismic data adopts amplitude data, determining an amplitude value corresponding to each point on the plane equation; and finally, selecting different colors for different amplitude values to carry out texture mapping on the plane equation so as to obtain the two-dimensional well-connected section.
However, because the well trajectory of the horizontal well is a space curve with well deviation and orientation gradually changing, the whole well section is composed of a plurality of arcs with unequal curvatures. If a two-dimensional well-connecting section is still adopted, various data information of the stratum cannot be observed easily through the well-connecting section.
Fig. 2 is a flowchart of a method for generating a horizontal well-connecting profile according to an embodiment of the present disclosure. As shown in fig. 2, the generating method is executed by an upper computer, and includes:
step 101: and acquiring coordinates of control points of the two horizontal wells.
The control point is an end point of the equal section, and the equal section is a plurality of continuously connected well sections with the same length in the horizontal well.
In step 101, the control point coordinates of the horizontal well may be determined from the well data of the horizontal well stored in the database.
Step 102: a triangulation network model is formed based on the coordinates of the control points on the two horizontal wells.
The triangulation network model is a plane equation formed by three control points.
Step 103: and performing texture mapping on the triangulation network model according to the seismic data to generate a well connecting profile.
According to the method for generating the horizontal well connecting section in the embodiment of the disclosure, coordinates of control points of the horizontal well are obtained, each control point is an end point of an equal segment of the horizontal well, and thus the connecting line of the obtained control points conforms to the extending track of the horizontal well; the triangular mesh model is a plane equation formed according to the three control points, so that the formed triangular mesh model also meets the extension track of the horizontal well, and the connected well section obtained after texture mapping is performed on the triangular mesh model through seismic data is a curved surface formed by combining a plurality of plane equations. According to the method, the curved surface conforming to the extension track of the horizontal well is formed through the control points conforming to the extension track of the horizontal well to form the three-dimensional well connecting section, the well connecting section can reflect the well track of the horizontal well, various data information of a stratum can be observed visually conveniently, technical personnel can know the distribution form of a reservoir space, the height of an oil layer, an oil-water interface and the change trend of reservoir parameters such as oil saturation, porosity and permeability from the macro aspect, and the regional change of the reservoir parameters is researched through the comparison of various stratum information, so that the fine research of the reservoir is completed.
The generation method provided by the embodiment of the disclosure has good universality, is suitable for processing the well connecting section of the horizontal well, and can be used for generating the well connecting sections of various types of wells such as a vertical well, an inclined well and the like. In addition, the generation method can also process the well-connecting section of the multiple wells to form the multiple-well-connecting section. For example, if well-connecting sections of three wells are generated, two well-connecting sections can be generated by the generation method, wherein the two generated well-connecting sections are the well-connecting sections of two adjacent wells respectively; and then, connecting the two well connecting sections together to obtain the well connecting section of the three wells.
Fig. 3 is a flowchart of another method for generating a horizontal well string section according to an embodiment of the present disclosure.
As shown in fig. 3, the generating method is executed by an upper computer, and includes:
step 201: and acquiring coordinates of a plurality of track points of the horizontal well.
In step 201, coordinates of the trajectory points of the horizontal well may be obtained from the well data of the horizontal well stored in the database.
Illustratively, well trajectory mapping coordinates may be obtained after thinning by the douglas algorithm based on well data. The well trajectory drawing coordinates are coordinates of the trajectory points located on the well trajectory. The specific way of obtaining the well trajectory drawing coordinates through the douglas algorithm by rarefying can be referred to related technologies.
The track points are determined by the thinning algorithm, and the well track is ensured to run smoothly, so that the distances between the track points are usually different (see each track point G in FIG. 4). I.e., trajectory points are a plurality of points that are irregularly distributed on the well trajectory.
Wherein, two adjacent track points in a plurality of track points form the track section.
In the embodiment of the disclosure, after the coordinates of each track point of the horizontal well are determined, the track equation of the track section formed by connecting two track points can be determined according to two adjacent track points, and the track equation of the horizontal well can be obtained according to the fitting of all track points.
Step 202: and determining the length of each track segment based on the coordinates of the track points.
Wherein, the distance of two adjacent track points is obtained through the coordinate calculation of two track points, can arrive the length of the orbit section that two track points connect and form.
After the length of each track section is determined, the track of the horizontal well can be divided into a set number of equal sections.
Wherein the set number can be determined according to actual conditions. For example, the set number may be 30 or 300.
The length of the equal segments is the ratio of the total length of the horizontal well to the set number. The total length of the horizontal well can be determined according to the sum of the lengths of the track sections calculated in the previous step.
Step 203: and determining the coordinates of the control points based on the coordinates of the track segments, the equal segments and the track points.
In the implementation of the present disclosure, determining the coordinates of the control point may include the following steps:
firstly, accumulating track sections section by section until the sum of the lengths of the first m track sections is not less than the sum of the lengths of the first n equal sections, wherein m and n are positive integers.
In the embodiment of the present disclosure, segment-by-segment accumulation is performed from the first track segment, and the length sum of the track segments is calculated and recorded as S 0,m (L m ) M =0,1,2 \ 8230, up to S 0,m (L m ) And recording the index number m of the track segment at the moment when the length is not less than the sum of the lengths of the current n equal segments.
Wherein the length of the mth track segment is L m The length of each equal segment is L.
And secondly, determining the absolute value of the difference between the sum of the lengths of the first m-1 track segments and the sum of the lengths of the first n equal segments, and determining the ratio of the absolute value to the mth track segment as a proportional parameter t.
Wherein the absolute value is written as | -nL-S 0,m-1 (L m ) | a. The proportionality parameter t = | -nL-S 0,m-1 (L m )∣/L m
And thirdly, determining the coordinates of the control points based on the proportion parameters, the coordinates of the mth track point and the coordinates of the (m + 1) th track point.
Specifically, the following formula can be used to determine the coordinates of the control points:
P n =p m +(p m+1 -p m )t (1)
in the formula (1), P is the coordinate of the nth control point, and P m As coordinates of the mth locus point, p m+1 And t is a proportional parameter, and is the coordinate of the (m + 1) th track point.
In the embodiment of the present disclosure, the first control point is the first track point, that is, the coordinate of the first control point is the same as the coordinate of the first track point. And repeating the three steps until the coordinates of the last point on the well track of the horizontal well are calculated, and determining the coordinates of all the control points, namely the coordinates of the end points of all the equal segments.
Step 204: and forming a triangulation network model based on the coordinates of the control points on the two horizontal wells.
Fig. 5 is a schematic diagram of a triangulation network model provided by an embodiment of the present disclosure. As shown in fig. 5, forming the triangulation network model in step 205 may include the following steps:
in the first step, a plane equation is constructed based on the nth control point P1 and the (n + 1) th control point P2 of one horizontal well and the nth control point P3 of another horizontal well (see T in fig. 5).
Second, a plane equation is constructed based on the (n + 1) th control point P2 of one horizontal well, the (n) th control point P3 and the (n + 1) th control point P4 of the other horizontal well (see T in fig. 5).
The first two plane equations of the triangulation network model are taken as examples to briefly explain the establishment process: and acquiring each control point, and constructing a first triangular surface topological relation according to the clockwise direction by using the first control point of the first horizontal well, the second control point of the second horizontal well and the second control point of the first horizontal well respectively, so as to form a first triangular plane equation. And then constructing a second triangular surface topological relation according to the second control point of the first horizontal well, the first control point and the second control point of the second horizontal well in a clockwise direction, namely forming a second triangular plane square.
When the plane equation is determined through the three control points, the three control points can be substituted into the general formula Ax + By + Cz + D =0 of the plane equation, and the corresponding plane equation can be determined.
And thirdly, determining a set of plane equations as a triangulation network model.
In the embodiment of the present disclosure, the triangulation network model is a set of plane equations, that is, the triangulation network model includes a plurality of plane equations determined by the control points.
As shown in fig. 5, the section between the two horizontal wells is divided into a plurality of plane equations T, so that the section is divided into a plurality of regions, each region corresponds to a different plane equation, so that the formed well tie section is a curved surface formed by combining the plurality of plane equations, and the well tie section has a curved surface effect, so that curved surface data information of the well tie section of the horizontal well can be truly reflected through the well tie section, and stratum contrast analysis and fine research of a reservoir stratum are facilitated.
Step 205: and performing texture mapping on the triangulation network model according to the seismic data to generate a well connecting profile.
In the embodiment of the present disclosure, performing texture mapping on the triangulation network model may include the following steps:
the method comprises the steps of firstly, acquiring data points which correspond to parameter points in a triangulation network model in seismic data one by one.
Wherein, the parameter points are all points on a plane equation of the triangulation network model.
The data in the seismic data are all data in a line coordinate system, and the control points determined in the previous step are all data in a geodetic coordinate system.
Therefore, affine transformation parameters between the line coordinate system and the earth coordinate system need to be obtained, and each parameter point in the triangulation network model under the earth coordinate system is transformed to the line coordinate system according to the affine transformation parameters, so as to quickly determine data points in the seismic data, which correspond to each parameter point in the triangulation network model one by one.
Taking seismic data as an example of amplitude data, each data point in the amplitude data comprises an amplitude value and a coordinate of the point; after the parameter points of the triangulation network model are determined, the data points with the same coordinates are determined based on the coordinates of the parameter points, and the data points in the seismic data, which correspond to the parameter points in the triangulation network model one to one, can be quickly obtained.
In a second step, voxel values of the corresponding parameter points are determined based on the data points.
Alternatively, when determining the voxel value, first, a parameter upper limit value and a parameter lower limit value are determined. The upper limit value of the parameter is the maximum value of the numerical values in all the data points, and the lower limit value of the parameter is the minimum value of the numerical values in all the data points.
And then, determining the voxel value of the parameter point according to the parameter value, the parameter upper limit value and the parameter lower limit value of the data point corresponding to each parameter point.
The voxel values of the parameter points may specifically be determined using the following formula:
X=(v-v min )/(v max -v min )×255 (2)
in the formula (2), X is a voxel value, v is a parameter value of a data point corresponding to the parameter point, and v is min Is a parameter upper limit value, v max Is the lower limit value of the parameter.
Illustratively, the seismic data is amplitude data, and the amplitude range in the amplitude data is (-120, 120), and most amplitude values are located between (-60, 60), so that the-60 approximation is regarded as a lower parameter value, and the 60 approximation is regarded as an upper parameter value.
Then, a window with a parameter lower limit value and a parameter upper limit value as a limiting window can be set, all values smaller than-60 in the amplitude data are returned to-60, all values larger than 60 are returned to 60, and the values in the window are subjected to linear transformation by adopting a formula (2) and are mapped to a range from 0 to 255.
In the disclosed embodiment, 255 may be an R value of three primary colors of RGB. For example, when the amplitude value of a certain parameter point in the triangulation model is-60, at this time, the voxel value X is determined to be 0, and is correspondingly black; when the amplitude value of a certain parameter point in the triangulation network model is 60, at this time, the voxel value X is determined to be 255, and is correspondingly red; whereas the voxel value X of a parameter point with an amplitude value between-60 and 60 is a different class of red.
And thirdly, performing texture mapping on the triangulation network model according to the voxel values of the parameter points.
Fig. 6 is a schematic diagram of a horizontal well connecting section provided by an embodiment of the disclosure. As shown in fig. 6, the color mapping table of the parameter points in the triangulation model can be obtained through the above steps, and the voxel value corresponding to each parameter point is mapped to an optical property transfer function for texture mapping, so as to obtain well-connecting sections with different colors.
In this way, different color textures are mapped on the triangulation network model, so that technicians can visually observe the amplitude conditions of all positions.
It should be noted that other data may be used as the seismic data. Such as reservoir parameters including oil saturation, porosity and permeability of the reservoir. Therefore, different well-connecting sections can be formed by replacing different seismic data, so that technicians can research regional changes of reservoir parameters through comparison of various stratum information to complete fine research of the reservoir.
Wherein, the transparency of each parameter point during texture mapping can be opaque or semitransparent, so as to be convenient for a technician to observe.
Optionally, after performing texture mapping, the method further includes: obtaining the curvature of a curve where each parameter point is located; and according to the direct proportion relation between the curvature and the light intensity, enhancing the illumination intensity of each parameter point on the well connecting profile.
Since the triangulation network model in the embodiment of the present disclosure is formed by combining a plurality of plane equations, a curve exists at the intersection of two adjacent plane equations. When the curvature is determined, one parameter point located on the boundary line of two adjacent plane equations and two parameter points respectively located on the two plane equations can be taken, and the curvature is determined by calculating the three parameter points.
In the embodiment of the disclosure, illumination rendering can be performed on the parameter points based on a Phong illumination model in computational graphics, so as to enhance the smoothness of the surface of the triangulation network model and draw a realistic triangulation network surface. The lighting rendering by using the lighting model can refer to the related technology.
Because the curvature is used for describing the bending degree of the surface of the parameter point, the light intensity is adjusted based on the curvature, and the light intensity at the parameter point with the larger curvature is larger, the curve information of the horizontal well connecting section can be reflected more truly through the well connecting section, and the stratum contrast analysis and the fine research of a reservoir stratum are facilitated.
Fig. 7 is a schematic diagram of a device for generating a horizontal well connecting section according to an embodiment of the present disclosure. As shown in fig. 7, the apparatus includes: an acquisition module 100, a determination module 200 and a generation module 300.
The acquisition module 100 is used for acquiring coordinates of control points of two horizontal wells, wherein the control points are end points of equal segments, and the equal segments are a plurality of well segments which are continuously connected in the horizontal well and have the same length; the determining module 200 is configured to form a triangulation network model based on coordinates of control points on two horizontal wells, the triangulation network model is a plane equation formed according to the three control points, and the generating module 300 is configured to perform texture mapping on the triangulation network model according to seismic data to generate a well connecting profile.
In one implementation of the present disclosure, the obtaining module 100 includes: an acquisition submodule 110, a first determination submodule 120 and a second determination submodule 130. The obtaining sub-module 110 is used for obtaining coordinates of track points of the horizontal well, and two adjacent track points in the plurality of track points form a track section; the first determining submodule 120 is configured to determine the length of each track segment based on the track point; the second determination submodule 130 is configured to determine coordinates of the control points based on the track segment, the equal segment, and the coordinates of the track points.
In one implementation of the present disclosure, the second determining submodule 130 is further configured to accumulate the track segments segment by segment until the sum of the lengths of the first m track segments is not less than the sum of the lengths of the first n equal segments, where m and n are positive integers; determining the absolute value of the difference between the sum of the lengths of the first m-1 track segments and the sum of the lengths of the first n equal segments, and determining the ratio of the absolute value to the mth track segment as a proportional parameter t; and determining the coordinates of the control points based on the proportion parameter t, the coordinates of the mth track point and the coordinates of the (m + 1) th track point.
In one implementation of the present disclosure, the determining module 200 is configured to construct a plane equation based on the nth control point, the (n + 1) th control point of one horizontal well and the nth control point of another horizontal well; constructing a plane equation based on the (n + 1) th control point of one horizontal well, the nth control point and the (n + 1) th control point of the other horizontal well; and determining a set of plane equations as a triangulation network model.
In one implementation of the present disclosure, the generating module 300 is configured to obtain data points in the seismic data that correspond to parameter points on the triangulation network model one to one, where the parameter points are points on a plane equation of the triangulation network model; determining voxel values of corresponding parameter points based on the data points; and performing texture mapping on the triangulation network model according to the voxel values of the parameter points.
In one implementation of the present disclosure, the generating module 300 is configured to determine an upper parameter value and a lower parameter value, where the upper parameter value is a maximum value of values in all data points, and the lower parameter value is a minimum value of values in all data points; and determining the voxel value of the parameter point based on the parameter value, the parameter upper limit value and the parameter lower limit value of the data point corresponding to each parameter point.
In an implementation manner of the present disclosure, the generating module 300 is further configured to obtain a curvature of a curve where each parameter point is located; and according to the proportional relation between the curvature and the light intensity, enhancing the illumination intensity of each parameter point on the well connecting section.
Fig. 8 is a block diagram of a computer device according to an embodiment of the present disclosure. As shown in fig. 8, the computer apparatus includes: a processor 801 and a memory 802.
The processor 801 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so forth. The processor 801 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 801 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 801 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, the processor 801 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.
Memory 802 may include one or more computer-readable storage media, which may be non-transitory. Memory 802 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 802 is used to store at least one instruction for execution by processor 801 to implement the method of generating a horizontal well tie-in profile provided by the method embodiments herein.
In some embodiments, the computer device may further optionally include: a peripheral interface 803 and at least one peripheral. The processor 801, memory 802 and peripheral interface 803 may be connected by bus or signal lines. Various peripheral devices may be connected to the peripheral interface 803 by a bus, signal line, or circuit board.
Those skilled in the art will appreciate that the architecture illustrated in FIG. 8 does not constitute a limitation of computer devices, and may include more or fewer components than those illustrated, or may combine certain components, or may employ a different arrangement of components.
The embodiment of the present disclosure further provides a non-transitory computer-readable storage medium, where computer instructions are stored, and the computer instructions are used to enable a computer to execute the method for generating the horizontal well continuous profile according to the foregoing embodiment. For example, the computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above disclosure is intended to be exemplary only, and not limiting, and all such modifications, equivalents, improvements, and equivalents that fall within the spirit and scope of the present disclosure are intended to be embraced therein.

Claims (10)

1. A method for generating a horizontal well connected section is characterized by comprising the following steps:
obtaining coordinates of control points of two horizontal wells, wherein the control points are end points of equal segments, and the equal segments are a plurality of well segments which are continuously connected in the horizontal well and have the same length;
forming a triangulation network model based on the coordinates of the control points on the two horizontal wells, wherein the triangulation network model is a plane equation formed according to the three control points;
and performing texture mapping on the triangulation network model according to the seismic data to generate the well connecting profile.
2. The generation method according to claim 1, wherein the obtaining control point coordinates for two horizontal wells comprises:
obtaining coordinates of a plurality of track points of the horizontal well, wherein two adjacent track points in the plurality of track points form a track section;
determining the length of each track segment based on the coordinates of the track points;
and determining the coordinates of the control points based on the coordinates of the track segments, the equal segments and the track points.
3. The generation method according to claim 2, wherein the determining coordinates of the control points based on the coordinates of the track segments, the equal segments, and the track points comprises:
accumulating the track sections section by section until the sum of the lengths of the first m track sections is not less than the sum of the lengths of the first n equal sections, wherein m and n are positive integers;
determining the absolute value of the difference between the sum of the lengths of the first m-1 track segments and the sum of the lengths of the first n equal segments, and determining the ratio of the absolute value to the mth track segment as a proportional parameter;
and determining the coordinates of the control points based on the proportion parameters, the coordinates of the mth track point and the coordinates of the (m + 1) th track point.
4. The generation method according to any one of claims 1 to 3, wherein the forming a triangulation model based on the coordinates of the control points on the two horizontal wells comprises:
constructing a plane equation based on the nth control point, the (n + 1) th control point and the nth control point of another horizontal well;
constructing a plane equation based on the (n + 1) th control point of one horizontal well, the nth control point and the (n + 1) th control point of the other horizontal well;
and determining each set of plane equations as the triangulation network model.
5. The method of generating as claimed in claim 4, wherein said texture mapping said triangulation model from seismic data to generate said well-tie profile comprises:
acquiring data points which correspond to parameter points on the triangulation network model one to one in the seismic data, wherein the parameter points are points on a plane equation of the triangulation network model;
determining voxel values of the corresponding parameter points based on the data points;
and performing texture mapping on the triangulation network model according to the voxel value of each parameter point.
6. The generation method of claim 5, wherein the determining voxel values of the corresponding parameter points based on the data points comprises:
determining a parameter upper limit value and a parameter lower limit value, wherein the parameter upper limit value is the numerical maximum value of all the data points, and the parameter lower limit value is the numerical minimum value of all the data points;
and determining the voxel value of the parameter point based on the parameter value, the parameter upper limit value and the parameter lower limit value of the data point corresponding to each parameter point.
7. The method of claim 5, wherein after texture mapping the triangulation model according to the voxel values of the parameter points, further comprising:
obtaining the curvature of a curve where each parameter point is located;
and according to the proportional relation between the curvature and the light intensity, enhancing the illumination intensity of each parameter point on the well connecting section.
8. A device for generating a horizontal well continuous profile, comprising:
the acquisition module is used for acquiring coordinates of control points of two horizontal wells, wherein the control points are end points of equal sections, and the equal sections are a plurality of continuously connected well sections with equal lengths in the horizontal wells;
the determining module is used for forming a triangulation network model based on the coordinates of the control points on the two horizontal wells, and the triangulation network model is a plane equation formed by the three control points;
and the generation module is used for performing texture mapping on the triangulation network model according to the seismic data to generate the well connecting section.
9. A method and a device for generating a horizontal well connected section are characterized by comprising the following steps:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to carry out the instructions when executing the method of generating a horizontal well string profile according to any one of claims 1 to 7.
10. A computer-readable storage medium comprising at least one instruction which, when executed by a processor, performs a method of generating a horizontal well-tie profile according to any one of claims 1 to 7.
CN202111060222.9A 2021-09-10 2021-09-10 Horizontal well continuous profile generation method and device and storage medium Pending CN115788397A (en)

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