CN101899971A - Method and device for identifying carbonate formation electrical imaging logging phase - Google Patents
Method and device for identifying carbonate formation electrical imaging logging phase Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for identifying an electrical imaging logging phase of a carbonate formation, wherein the method comprises the following steps: acquiring electrical imaging logging data of a carbonate rock stratum; processing the electrical imaging logging data to obtain image information of the electrical imaging logging data; identifying image information of the obtained electrical imaging logging data according to a preset electrical imaging logging phase, and obtaining a carbonate formation electrical imaging logging phase corresponding to the electrical imaging logging data; the electrical imaging logging phase comprises: bulk phase, lamellar phase and lamellar phase. By the embodiment of the invention, the carbonate stratum sedimentary facies can be identified, the carbonate stratum electric imaging logging facies can be obtained, and the distribution rule of the reservoir stratum can be better researched and predicted.
Description
Technical Field
The invention relates to the field of petroleum logging, in particular to a method and a device for identifying an electric imaging logging phase of a carbonate formation.
Background
Currently, through electrical imaging logging techniques, a large amount of intuitive information can be provided for formation qualitative analysis, and parameters can be extracted therefrom for quantitative analysis of the reservoir.
However, in the process of implementing the invention, the inventor finds that the prior art has the following defects: for carbonate rock stratum, the electric imaging logging information is only used for analyzing the inclination angle, the inclination, the opening degree, the density and the like of well wall phenomena such as cracks, karst caves and the like, and the carbonate rock stratum sedimentary facies is difficult to identify without a corresponding identification method and device.
Disclosure of Invention
The embodiment of the invention provides a method and a device for identifying an electrical imaging logging phase of a carbonate formation, wherein the method comprises the steps of obtaining image information of electrical imaging logging data of the carbonate formation; identifying image information of the obtained electrical imaging logging data according to a preset electrical imaging logging phase; therefore, the carbonate stratum sedimentary facies can be identified, the carbonate stratum electric imaging logging facies can be obtained, and the distribution rule of the reservoir can be better researched and predicted.
The embodiment of the invention provides a method for identifying an electrical imaging logging phase of a carbonate formation, which comprises the following steps:
acquiring electrical imaging logging data of a carbonate rock stratum;
processing the electrical imaging logging data to obtain image information of the electrical imaging logging data, wherein the image information comprises an image structure and an image color;
identifying the acquired image information of the electrical imaging logging data according to a preset electrical imaging logging phase to obtain a carbonate formation electrical imaging logging phase corresponding to the electrical imaging logging data; the electrical imaging logging phase comprises: bulk, lamellar and lamellar phases;
wherein, the image color of the block phase is uniform, and the image structure is block; the image structure of the lamellar phase presents texture or is lamellar; the image of the spot-shaped phase is uneven in color and is in a patch or spot shape, and the color of the patch or spot shape is different from that of the background of the surrounding matrix.
The embodiment of the invention provides a recognition device of an electric imaging logging phase of a carbonate formation, which comprises:
the data acquisition unit is used for acquiring the electric imaging logging data of the carbonate rock stratum;
the data processing unit is used for processing the electrical imaging logging data and acquiring image information of the electrical imaging logging data, wherein the image information comprises an image structure and an image color;
the information identification unit is used for identifying the acquired image information of the electrical imaging logging data according to a preset electrical imaging logging phase so as to acquire a carbonate formation electrical imaging logging phase corresponding to the electrical imaging logging data; the electrical imaging logging phase comprises: bulk, lamellar and lamellar phases;
wherein, the image color of the block phase is uniform, and the image structure is block; the image structure of the lamellar phase presents texture or is lamellar; the image of the spot-shaped phase is uneven in color and is in a patch or spot shape, and the color of the patch or spot shape is different from that of the background of the surrounding matrix.
The embodiment of the invention has the advantages that the image information of the electric imaging logging data of the carbonate formation is obtained; identifying image information of the obtained electrical imaging logging data according to a preset electrical imaging logging phase; the carbonate stratum sedimentary facies can be identified, the carbonate stratum electric imaging logging facies can be obtained, and the distribution rule of the reservoir stratum can be better researched and predicted.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a flowchart of a method for identifying a carbonate formation electrical imaging log phase according to example 1 of the present invention;
FIG. 2 is a flowchart of a method for identifying a carbonate formation electrical imaging log phase according to example 2 of the present invention;
FIG. 3 is a schematic diagram of an example of an electrical imaging logging phase in example 2 of the present invention;
FIG. 4 is a diagram showing an example of a dark low-resistance bulk phase in example 2 of the present invention;
FIG. 5 is a diagram showing an example of a light-colored high-resistance bulk phase in example 2 of the present invention;
FIG. 6 is a diagram showing an example of a dark low-resistivity thick layer phase according to example 2 of the present invention;
FIG. 7 is a diagram showing an example of a light-colored high-resistance thick layer phase in example 2 of the present invention;
FIG. 8 is a diagram showing an example of a dark low-resistance lamellar phase in example 2 of the invention;
FIG. 9 is a diagram showing an example of a light-colored high-resistance lamellar phase in example 2 of the invention;
FIG. 10 is a diagram of an example of a deep color staggered layer phase according to embodiment 2 of the present invention;
FIG. 11 is a diagram showing an example of a light-colored staggered layer phase in example 2 of the present invention;
FIG. 12 is a diagram showing an example of a forward tapered lamellar phase in example 2 of the invention;
FIG. 13 is a diagram of an example of the reverse tapered lamellar phase of example 2 of the invention;
FIG. 14 is a diagram of an example of a deep color deformed lamellar phase in example 2 of the invention;
FIG. 15 is a diagram showing an example of a light-colored deformed lamellar phase in example 2 of the invention;
FIG. 16 is a diagram showing an example of an inter-layer phase in embodiment 2 of the present invention;
FIG. 17 is a diagram showing an example of a bright spot phase in example 2 of the present invention;
FIG. 18 is a diagram showing an example of a dark spot phase in example 2 of the present invention;
FIG. 19 is a flowchart of a method for identifying a carbonate formation electrical imaging log phase according to example 3 of the present invention;
FIG. 20 is a schematic diagram of an apparatus for identifying a carbonate formation electrical imaging log phase according to example 4 of the present invention;
FIG. 21 is a schematic diagram of an apparatus for identifying a carbonate formation electrical imaging log phase according to example 5 of the present invention;
fig. 22 is a configuration diagram of a data processing unit according to embodiment 5 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention are described in further detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention and not to limit the present invention.
Example 1
The embodiment of the invention provides a method for identifying an electrical imaging logging phase of a carbonate formation, which comprises the following steps of:
101, acquiring electrical imaging logging data of a carbonate formation;
102, processing the electrical imaging logging data to obtain image information of the electrical imaging logging data, wherein the image information comprises an image structure and an image color;
103, identifying image information of the obtained electrical imaging logging data according to a preset electrical imaging logging phase to obtain a carbonate formation electrical imaging logging phase corresponding to the electrical imaging logging data; the electrical imaging logging phase comprises: bulk, lamellar and lamellar phases;
wherein, the image color of the block phase is uniform, and the image structure is block; the image structure of the lamellar phase appears as texture or lamellar; the image of the spot-shaped phase has uneven color and is in a spot shape or a spot shape, and the color of the spot shape or the spot shape is different from the color of the background of the surrounding matrix.
In this embodiment, after obtaining the electrical imaging logging data of the carbonate formation, the obtained electrical imaging logging data may be processed to obtain image information of the electrical imaging logging data, where the image information includes an image structure and an image color; for example, image enhancement, enlargement, cropping, and the like may be performed, but the present invention is not limited thereto, and the processing manner may be determined in accordance with the actual situation.
In this embodiment, the acquired image information may be identified according to a preset electrical imaging log phase, so as to obtain a carbonate formation electrical imaging log phase corresponding to the electrical imaging log data. For example, fig. 4-18 are example diagrams of an electrical imaging logging phase. In fig. 4, the left image is a still image whose depth is uniformly distributed from 5611.5m to 5612.7m in color; and the right image is a dynamic image, and the depth of the image structure is in a block shape from 5611.5m to 5612.7m, so that the carbonate formation electric imaging logging phase corresponding to the electric imaging logging data can be determined to be a block phase. In fig. 7, the image structure is layered, and it is determined that the carbonate formation electrical imaging log phase corresponding to the electrical imaging log data is a layered phase. In fig. 17, the image is uneven in color and is in the form of a patch, and the color of the patch is bright compared with the color of the surrounding matrix background, so that the carbonate formation electrical imaging logging phase corresponding to the electrical imaging logging data can be determined to be a bright patch phase. In fig. 18, the image is non-uniform in color and is in the form of a patch, and the color of the patch is dark compared with the color of the surrounding matrix background, then the carbonate formation electrographic log phase corresponding to the electrographic log data can be determined to be a dark patch phase. The above description is merely illustrative, but not restrictive, and specific embodiments may be determined according to actual circumstances.
According to the embodiment, the image information of the electrical imaging logging data of the carbonate formation is obtained; identifying according to preset image information of the electric imaging logging data acquired relatively by the electric imaging logging; the carbonate stratum sedimentary facies can be identified, the carbonate stratum electric imaging logging facies can be obtained, and the distribution rule of the reservoir stratum can be better researched and predicted.
Example 2
The embodiment of the invention provides a method for identifying an electrical imaging logging phase of a carbonate formation, which is characterized in that on the basis of embodiment 1, a block phase, a lamellar phase and a spot phase of the electrical imaging logging phase are specifically divided, so that the identification accuracy is further improved.
As shown in fig. 2, the method includes:
step 201, obtaining electric imaging logging data of a carbonate formation.
202, carrying out dynamic image processing on the acquired electrical imaging logging data to acquire an image structure of the electrical imaging logging data;
in this embodiment, the dynamic image processing may be performed on the acquired electrical imaging logging data by imaging logging image processing software, for example, the dynamic image processing may be performed by a Geoframe software platform of the selmberski logging company, but is not limited thereto, and a specific dynamic image processing mode may be determined according to an actual situation.
Step 203, performing static image processing on the acquired electrical imaging logging data to acquire image colors of the electrical imaging logging data;
in this embodiment, the still image processing may also be performed on the acquired electrical imaging logging data by using imaging logging image processing software, for example, the still image processing may be performed by using a Geoframe software platform of the selmberski logging company, but is not limited thereto, and a specific still image processing manner may be determined according to an actual situation.
In this embodiment, step 203 is not limited to be performed after step 202, and may be performed simultaneously with step 202, or may be performed before step 202, and the specific implementation manner may be determined according to actual situations.
204, configuring colors from deep to light according to the resistivity from low to high;
in this embodiment, the color may be configured according to the black, brown and white of the resistivity from low to high, and the three basic logging phases, i.e., the block phase, the lamellar phase, and the speckled phase, may be specifically divided into fifteen logging sub-phases.
The bulk phase may further comprise: a dark low-resistance bulk phase and a light high-resistance bulk phase; the dark low-resistance bulk phase may be referred to as a dark low-resistance bulk phase, a dark bulk phase or a low-resistance bulk phase; the light-colored high-blocking phase may also be referred to as a bright-colored high-blocking phase, a bright-colored blocking phase, a light-colored blocking phase, or a high-blocking phase.
The lamellar phase may further comprise: a deep color low resistance thick layer phase, a light color high resistance thick layer phase, a deep color low resistance thin layer phase, a light color high resistance thin layer phase, a deep color low resistance staggered lamellar phase, a light color high resistance staggered lamellar phase, a forward graded lamellar phase, a reverse graded lamellar phase, a deep color low resistance deformed lamellar phase, a light color high resistance deformed lamellar phase and a mutual layer phase;
wherein, the dark low-resistance thick layer phase can be called dark low-resistance thick layer phase, dark thick layer phase or low-resistance thick layer phase; the light-color high-resistance thick phase can be called a bright-color high-resistance thick phase, a bright-color thick phase, a light-color thick phase or a high-resistance thick phase; the dark low resistance lamellar phase may also be referred to as dark low resistance lamellar phase, dark lamellar phase or low resistance lamellar phase; the light-colored high-resistance lamellar phase can be called as a bright-colored high-resistance lamellar phase, a bright-colored lamellar phase, a light-colored lamellar phase or a high-resistance lamellar phase; the dark low-resistance staggered lamellar phase can be called as dark low-resistance staggered lamellar phase, dark staggered lamellar phase or low-resistance staggered lamellar phase; the light-color high-resistance staggered lamellar phase can be called as bright-color high-resistance staggered lamellar phase, bright-color staggered lamellar phase, light-color staggered lamellar phase or high-resistance staggered lamellar phase; the dark low-resistance deformed lamellar phase can be called as dark low-resistance deformed lamellar phase, dark deformed lamellar phase or low-resistance deformed lamellar phase; the light-colored high-resistance deformed lamellar phase can be called as bright-colored high-resistance deformed lamellar phase, bright-colored deformed lamellar phase, light-colored deformed lamellar phase or high-resistance deformed lamellar phase.
The speckled phase further comprises: bright spot phase and dark spot phase; wherein, the bright spot phase can be called as a shallow spot phase or a high-resistance spot phase; the dark spot phase may also be referred to as a deep spot phase or a low resistance spot phase.
In this embodiment, the fifteen logging sub-phases can be represented by symbols, as shown in table 1, which can be respectively represented as:
TABLE 1
| Symbol | Logging sub-phase | Symbol | Logging sub-phase |
| F11 | Dark low resistance blocky phase | F12 | Light-colored high-resistance blocky phase |
| F21 | Deep low-resistivity thick phase | F22 | Light-colored high-resistant thick phase |
| F23 | Deep low resistivity lamellar phase | F24 | Light-colored high-resistance lamellar phase |
| F31 | Deep low-resistance interlaced lamellar phase | F32 | Light-colored high-resistance staggered lamellar phase |
| F41 | Positive graded lamellar phase | F42 | Reverse gradient lamellar phase |
| F51 | Deep low resistance deformable lamellar phase | F52 | Light-colored high-resistance deformable lamellar phase |
| F61 | Are in mutual layer phase | F71 | Phase of bright spots |
| F72 | Dark spot phase |
In this embodiment, the identification marks of the fifteen logging sub-phases can be shown in table 2:
TABLE 2
In the embodiment, the electric imaging logging subphase can be identified by the legend, so that the electric imaging logging subphase can be as concise and definite as possible;
as shown in fig. 3, the low and high resistance phases may be represented by brown and yellow, respectively; the lumpy phases (F11 and F12) may be represented in solid color; the parallel lamellar phases (F21, F22, F23, F24) may be represented by line segments, the thickness of which represents the thickness of the formation, the thick-layer phases (F21 and F22) may be 3 lbs, the thin-layer phases (F23 and F24) may be 1 lbs; the alternate lamellar phases (F31 and F32) can be represented by three oblique line segments of 45 ° enclosed by two horizontal line segments, one above the other; the tapered lamellar phases (F41 and F42) can be represented by triangles, the forward tapered lamellar phase can be represented by regular triangles, and the reverse tapered lamellar phase can be represented by inverted triangles; the deformed lamellar phase may be represented by two "m" shaped curved segments.
Step 205, identifying image information of the electrical imaging logging data according to the electrical imaging logging phase and color configuration to obtain a carbonate formation electrical imaging logging phase corresponding to the electrical imaging logging data;
in this embodiment, the image information of the electrical imaging log data can be identified according to the fifteen electrical imaging log subphases and the color configuration, thereby further improving the accuracy of identification. Wherein, the image information may include the image structure obtained in step 202 and the image color obtained in step 203.
4-18, FIGS. 4-18 are example diagrams of identifiable electrical imaging log phases, each with a static image on the left for determining the shade of color; the right side is a dynamic image which can be used for judging the image structure. As shown in fig. 7, the static image is lighter in color, and the dynamic image structure appears as a parallel lamellar with a thickness greater than 10cm, and is thus recognized as a light-colored high-resistance parallel thick-layer phase; as further shown in fig. 8, the static image is darker in color, and the dynamic image structure appears as a parallel lamellar phase with a thickness of less than 10cm, and is therefore identified as a dark low-resistance parallel lamellar phase; as shown in fig. 9, the static image is lighter in color, and the dynamic image structure appears as a parallel lamellar phase with a thickness of less than 10cm, and is thus recognized as a light-colored high-resistance parallel lamellar phase; as shown in fig. 12, the color of the still image gradually becomes darker from bottom to top, and the thickness of the single layer on the moving image gradually becomes thinner, and thus it is recognized as a forward gradient lamellar phase; as shown in fig. 13, the color of the still image gradually becomes lighter from bottom to top, and the thickness of the single layer on the moving image gradually becomes thicker, and thus, it is recognized as a reverse gradient lamellar phase; as shown in fig. 14, the static image is darker in color, and the dynamic image structure appears as disordered deformation of the layer sequence, and thus is recognized as a dark low-resistance modified lamellar phase; as shown in fig. 15, the static image is lighter in color, and the dynamic image structure appears as disordered deformation of the layer sequence, and is therefore recognized as a light-colored high-resistance modified lamellar phase; and so on. Therefore, the carbonate formation electrical imaging logging phase corresponding to the electrical imaging logging data can be obtained.
According to the embodiment, the image information of the electrical imaging logging data of the carbonate formation is obtained; identifying image information of the obtained electrical imaging logging data according to a preset electrical imaging logging phase, wherein the electrical imaging logging phase comprises fifteen logging sub-phases; the carbonate stratum sedimentary facies can be identified, the carbonate stratum electric imaging logging facies can be obtained, and the distribution rule of the reservoir stratum can be better researched and predicted.
Example 3
The embodiment of the invention provides a method for identifying an electrical imaging logging phase of a carbonate formation, which can be used for carrying out color configuration on colors from light to dark according to the resistivity from low to high on the basis of the embodiment 2.
As shown in fig. 19, the method includes:
in this embodiment, dynamic image processing may be performed on the acquired electrical imaging log data by imaging log image processing software.
1903, performing static image processing on the obtained electrical imaging logging data to obtain image colors of the electrical imaging logging data;
in this embodiment, the obtained electrical imaging logging data may also be subjected to static image processing by imaging logging image processing software.
In this embodiment, step 1903 is not limited to be executed after step 1902, and may also be executed simultaneously with step 1902, or before step 1902, and the specific implementation manner may be determined according to actual situations.
1904, configuring the color from light to dark according to the resistivity from low to high;
in this embodiment, the color may be configured according to the resistivity from low to high according to the white-yellow-brown black, and the three basic logging phases, i.e., the block phase, the lamellar phase, and the speckled phase, may be specifically divided into fifteen logging sub-phases.
The bulk phase may further comprise: a light-colored low-resistance bulk phase and a dark-colored high-resistance bulk phase; wherein the light-colored low-resistance bulk phase can be called a light-colored low-resistance bulk phase, a light-colored bulk phase or a low-resistance bulk phase; the dark high-resistivity bulk phase may also be referred to as a dark high-resistivity bulk phase, a dark bulk phase, or a high-resistivity bulk phase.
The lamellar phase further comprises: a light-color low-resistance thick layer phase, a dark-color high-resistance thick layer phase, a light-color low-resistance thin layer phase, a dark-color high-resistance thin layer phase, a light-color low-resistance staggered lamellar phase, a dark-color high-resistance staggered lamellar phase, a forward graded lamellar phase, a reverse graded lamellar phase, a light-color low-resistance deformed lamellar phase, a dark-color high-resistance deformed lamellar phase and a mutual layer phase;
wherein the light-color low-resistance thick phase can be called as a light-color low-resistance thick phase, a light-color thick phase or a low-resistance thick phase; the dark high-resistance thick layer phase can be called a dark high-resistance thick layer phase, a dark thick layer phase or a high-resistance thick layer phase; the light-colored low-resistance lamellar phase may also be referred to as a light-colored low-resistance lamellar phase, a light-colored lamellar phase, or a low-resistance lamellar phase; the dark high-resistance lamellar phase can be called as a dark high-resistance lamellar phase, a dark lamellar phase or a high-resistance lamellar phase; the light-color low-resistance staggered lamellar phase can be called as bright-color low-resistance staggered lamellar phase, bright-color staggered lamellar phase, light-color staggered lamellar phase or low-resistance staggered lamellar phase; the dark high-resistance staggered lamellar phase can be called as dark high-resistance staggered lamellar phase, dark staggered lamellar phase or high-resistance staggered lamellar phase; the light-color low-resistance deformed lamellar phase can be called as a bright-color low-resistance deformed lamellar phase, a bright-color deformed lamellar phase, a light-color deformed lamellar phase or a low-resistance deformed lamellar phase; the dark high-resistance deformable lamellar phase can be called as dark high-resistance deformable lamellar phase, dark deformable lamellar phase or high-resistance deformable lamellar phase.
The speckled phase further comprises: bright and dark speck phases; wherein, the dark spot phase can be called as deep spot phase or high resistance spot phase; the bright speckled phase may also be referred to as a shallow speckled phase or a low speckle phase.
In this embodiment, the fifteen logging sub-phases can be represented by symbols, as shown in table 3, which can be respectively represented as:
TABLE 3
| Symbol | Subphase | Symbol | Subphase |
| F11 | Light low-resistance bulk phase | F12 | High resistance block phase of dark color |
| F21 | Light low-resistivity thick phase | F22 | Dark high-resistant thick phase |
| F23 | Light-colored low-resistivity lamellar phase | F24 | Dark high-resistance lamellar phase |
| F31 | Light-colored low-resistance alternating lamellar phase | F32 | High-resistance staggered lamellar phase with dark color |
| F41 | Positive graded lamellar phase | F42 | Reverse gradient lamellar phase |
| F51 | Light-colored low-resistance deformable lamellar phase | F52 | Deep high-resistance deformable lamellar phase |
| F61 | Are in mutual layer phase | F71 | Dark spot phase |
| F72 | Phase of bright spots |
In this embodiment, the identification marks of the fifteen logging sub-phases can be shown in table 4:
TABLE 4
In the embodiment, the electric imaging logging subphase can be identified by the legend, so that the electric imaging logging subphase can be as concise and definite as possible; as shown in fig. 3, and will not be described herein.
1905, identifying image information of the electrical imaging logging data according to the electrical imaging logging phase and the color configuration to obtain a carbonate formation electrical imaging logging phase corresponding to the electrical imaging logging data;
in this embodiment, the image information of the electrical imaging log data can be identified according to the fifteen electrical imaging log subphases and the color configuration, thereby further improving the accuracy of identification. The image information may include the image structure obtained in step 1902 and the image color obtained in step 1903.
According to the embodiment, the image information of the electrical imaging logging data of the carbonate formation is obtained; identifying image information of the obtained electrical imaging logging data according to a preset electrical imaging logging phase, wherein the electrical imaging logging phase comprises fifteen logging sub-phases; the carbonate stratum sedimentary facies can be identified, the carbonate stratum electric imaging logging facies can be obtained, and the distribution rule of the reservoir stratum can be better researched and predicted.
Example 4
The embodiment of the invention provides a recognition device for an electrical imaging logging phase of a carbonate formation, which comprises the following components in percentage by weight as shown in fig. 20: a data acquisition unit 2001, a data processing unit 2002, and an information recognition unit 2003; wherein,
the data acquisition unit 2001 is used for acquiring the electric imaging logging data of the carbonate formation;
the data processing unit 2002 is configured to process the obtained electrical imaging logging data, and obtain image information of the electrical imaging logging data, where the image information includes an image structure and an image color;
the information identification unit 2003 is used for identifying the image information of the acquired electrical imaging logging data according to a preset electrical imaging logging phase so as to acquire a carbonate formation electrical imaging logging phase corresponding to the electrical imaging logging data; the electrical imaging logging phase comprises: bulk, lamellar and lamellar phases;
wherein, the image color of the block phase is uniform, and the image structure is block; the image structure of the lamellar phase appears as texture or lamellar; the image of the spot-shaped phase has uneven color and is in a spot shape or a spot shape, and the color of the spot shape or the spot shape is different from the color of the background of the surrounding matrix.
According to the embodiment, the image information of the electrical imaging logging data of the carbonate formation is obtained; identifying image information of the obtained electrical imaging logging data according to a preset electrical imaging logging phase; the carbonate stratum sedimentary facies can be identified, the carbonate stratum electric imaging logging facies can be obtained, and the reservoir stratum can be better quantitatively analyzed.
Example 5
The embodiment of the invention provides a recognition device for an electric imaging logging phase of a carbonate formation, as shown in fig. 21, the recognition device comprises: a data acquisition unit 2101, a data processing unit 2102, and an information identification unit 2103; as described in embodiment 4, the description is omitted here.
As shown in fig. 22, the data processing unit 2102 may include: a dynamic processing unit 2201 and a static processing unit 2202; wherein,
the dynamic processing unit 2201 is configured to perform dynamic image processing on the electrical imaging logging data to obtain an image structure of the electrical imaging logging data;
the static processing unit 2202 is configured to perform static image processing on the electrical imaging log data to obtain image colors of the electrical imaging log data.
As shown in fig. 21, the identification device may further include: the first configuration unit 2104 is used for configuring colors from deep to light according to the resistivity from low to high;
the information identifying unit 2103 is further configured to identify image information of the electrical imaging logging data acquired by the data processing unit 2102 according to the electrical imaging logging phase and the color configuration of the first configuration unit 2104;
wherein the bulk phase further comprises: a dark low-resistance blocky phase and a light high-resistance blocky phase; wherein, the image color of the block phase with the deep color and low resistance is black brown, and the image structure is block; the image color of the light-color high-resistance blocky phase is yellow-white, and the image structure is blocky;
the lamellar phase further comprises: a deep color low resistance thick layer phase, a light color high resistance thick layer phase, a deep color low resistance thin layer phase, a light color high resistance thin layer phase, a deep color low resistance staggered lamellar phase, a light color high resistance staggered lamellar phase, a forward graded lamellar phase, a reverse graded lamellar phase, a deep color low resistance deformed lamellar phase, a light color high resistance deformed lamellar phase and a mutual layer phase;
wherein, the image color of the deep color low-resistance thick layer phase is a black-brown system, and the image color of the light color high-resistance thick layer phase is a yellow-white system; the image structures of the dark-color low-resistance thick layer phase and the light-color high-resistance thick layer phase are that the inner lines are parallel to each other, the production state is consistent with the top-bottom interface of the stratum, and the thickness of a single layer is more than 10 cm; the image color of the deep color low-resistance thin layer phase is a black-brown system, and the image color of the light color high-resistance thin layer phase is a yellow-white system; the image structures of the deep-color low-resistance thin layer phase and the light-color high-resistance thin layer phase are that the inner grain layers are parallel to each other, the production shape is consistent with the top-bottom interface of the stratum, and the thickness of a single layer is less than 10 cm; the image color of the deep-color low-resistance staggered lamellar phase is a black-brown system, and the image color of the light-color high-resistance staggered lamellar phase is a yellow-white system; the image structure of the deep-color low-resistance staggered lamellar phase and the light-color high-resistance staggered lamellar phase is that the striation layers appear in groups, and the single-layer occurrence among the groups is not harmonious; the image color of the forward gradient lamellar phase is gradually darker upwards, the image structure is a single-layer thickness and is thinned upwards, the image color of the reverse gradient lamellar phase is gradually lighter upwards, and the image structure is a single-layer thickness and is increased upwards; the image color of the deep color low resistance deformation lamellar phase is a black-brown system, the image color of the light color high resistance deformation lamellar phase is a yellow-white system, and the image structures of the deep color low resistance deformation lamellar phase and the light color high resistance deformation lamellar phase are striated layer distortion deformation; the image colors of the mutual layer phases are interactive in color depth, and the image structures are alternatively in the thickness of the grain layer;
the speckled phase further comprises: bright spot phase and dark spot phase; wherein, the bright spot phase is uneven in color and is in a patch shape, the color of the patch is lighter, and the color of the background matrix is darker; the dark spot phase is uneven in color and is in a patch shape, the color of the patch is darker, and the color of the background matrix is relatively lighter.
As shown in fig. 21, the identification device may further include: a second configuration unit 2105, configured to configure color from light to dark according to the resistivity from low to high;
the information identification unit 2103 is further configured to identify image information of the electrical imaging logging data acquired by the data processing unit 2102 according to the electrical imaging logging phase and the color configuration of the second configuration unit 2105;
wherein the bulk phase further comprises: light-colored low-resistance blocky phase and dark-colored high-resistance blocky phase; wherein, the image color of the light-color low-resistance blocky phase is yellow-white, and the image structure is blocky; the image color of the deep color high-resistance blocky phase is a black-brown system, and the image structure is blocky;
the lamellar phase further comprises: a light-color low-resistance thick layer phase, a dark-color high-resistance thick layer phase, a light-color low-resistance thin layer phase, a dark-color high-resistance thin layer phase, a light-color low-resistance staggered lamellar phase, a dark-color high-resistance staggered lamellar phase, a forward graded lamellar phase, a reverse graded lamellar phase, a light-color low-resistance deformed lamellar phase, a dark-color high-resistance deformed lamellar phase and a mutual layer phase;
wherein, the image color of the light-color low-resistance thick layer phase is yellow-white system, and the image color of the dark-color high-resistance thick layer phase is black-brown system; the image structures of the light-color low-resistance thick layer phase and the dark-color high-resistance thick layer phase are that internal lines and layers are mutually parallel, the production state is consistent with the top-bottom interface of the stratum, and the thickness of a single layer is more than 10 cm; the image color of the light-color low-resistance thin layer phase is yellow-white, and the image color of the dark-color high-resistance thin layer phase is black-brown; the image structures of the light-color low-resistance thin layer phase and the dark-color high-resistance thin layer phase are that the inner grain layers are mutually parallel, the production shape is consistent with the top-bottom interface of the stratum, and the thickness of a single layer is less than 10 cm; the image color of the light-color low-resistance staggered lamellar phase is a yellow-white system, and the image color of the dark-color high-resistance staggered lamellar phase is a black-brown system; the image structure of the light-color low-resistance staggered lamellar phase and the dark-color high-resistance staggered lamellar phase is that the striation layers appear in groups, and the single-layer occurrence among the groups is not harmonious; the image color of the forward gradient lamellar phase is gradually lighter upwards, the image structure is a single-layer thickness and is thinned upwards, the image color of the reverse gradient lamellar phase is gradually darker upwards, and the image structure is a single-layer thickness and is increased upwards; the image color of the light-color low-resistance deformation lamellar phase is yellow-white system, the image color of the dark-color high-resistance deformation lamellar phase is black-brown system, and the image structures of the light-color low-resistance deformation lamellar phase and the dark-color high-resistance deformation lamellar phase are striated layer distortion deformation; the image colors of the mutual layer phases are interactive in color depth, and the image structures are alternatively in the thickness of the grain layer;
the speckled phase further comprises: dark spot phase and bright spot phase; wherein, the dark spot phase is uneven in color and is in a patch shape, the color of the patch is darker, and the color of the background matrix is relatively lighter; the bright spot phase is uneven in color and is in a patch shape, the color of the patch is lighter, and the color of the background matrix is darker.
According to the embodiment, the image information of the electrical imaging logging data of the carbonate formation is obtained; identifying image information of the obtained electrical imaging logging data according to a preset electrical imaging logging phase, wherein the electrical imaging logging phase comprises fifteen logging sub-phases; therefore, the carbonate stratum sedimentary facies can be identified, the carbonate stratum electric imaging logging facies can be obtained, and the distribution rule of the reservoir can be better researched and predicted.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (8)
1. A method for identifying a carbonate formation electrical imaging log phase, the method comprising:
acquiring electrical imaging logging data of a carbonate rock stratum;
processing the electrical imaging logging data to obtain image information of the electrical imaging logging data, wherein the image information comprises an image structure and an image color;
identifying the acquired image information of the electrical imaging logging data according to a preset electrical imaging logging phase to obtain a carbonate formation electrical imaging logging phase corresponding to the electrical imaging logging data; the electrical imaging logging phase comprises: bulk, lamellar and lamellar phases;
wherein, the image color of the block phase is uniform, and the image structure is block; the image structure of the lamellar phase presents texture or is lamellar; the image of the spot-shaped phase is uneven in color and is in a patch or spot shape, and the color of the patch or spot shape is different from that of the background of the surrounding matrix.
2. The identification method according to claim 1, wherein the processing the electrical imaging log data to obtain image information of the electrical imaging log data comprises:
performing dynamic image processing on the electrical imaging logging data to obtain an image structure of the electrical imaging logging data;
performing static image processing on the electrical imaging logging data to obtain image colors of the electrical imaging logging data;
the electrical imaging logging data after processing according to the electrical imaging logging phase recognition image further comprises: identifying an image structure and an image color of the electrical imaging log data from the electrical imaging log phase.
3. The identification method of claim 2, wherein prior to identifying the image information of the acquired electrical imaging log data from a preset electrical imaging log phase, the method further comprises:
configuring colors from deep to light according to the resistivity from low to high;
and, the image information of the electrical imaging logging data obtained according to the preset electrical imaging logging phase identification specifically includes: identifying image information of the electrographic logging data from the electrographic logging phase and the color profile;
wherein the bulk phase further comprises: a dark low-resistance blocky phase and a light high-resistance blocky phase; wherein the image color of the deep color low-resistance blocky phase is a black-brown system, and the image structure is blocky; the image color of the light-color high-resistance blocky phase is yellow-white, and the image structure is blocky;
the lamellar phase further comprises: a deep color low resistance thick layer phase, a light color high resistance thick layer phase, a deep color low resistance thin layer phase, a light color high resistance thin layer phase, a deep color low resistance staggered lamellar phase, a light color high resistance staggered lamellar phase, a forward graded lamellar phase, a reverse graded lamellar phase, a deep color low resistance deformed lamellar phase, a light color high resistance deformed lamellar phase and a mutual layer phase;
the image color of the deep color low-resistance thick layer phase is a black-brown system, and the image color of the light color high-resistance thick layer phase is a yellow-white system; the image structures of the dark-color low-resistance thick layer phase and the light-color high-resistance thick layer phase are that the inner lines are parallel to each other, the production state is consistent with the top-bottom interface of the stratum, and the single-layer thickness is more than 10 cm; the image color of the dark low-resistance lamellar phase is a black-brown system, and the image color of the light high-resistance lamellar phase is a yellow-white system; the image structures of the dark low-resistance thin layer phase and the light high-resistance thin layer phase are that the inner grain layers are parallel to each other, the production state is consistent with the top-bottom interface of the stratum, and the thickness of a single layer is less than 10 cm; the image color of the deep color low-resistance staggered lamellar phase is a black-brown system, and the image color of the light color high-resistance staggered lamellar phase is a yellow-white system; the image structures of the deep-color low-resistance staggered lamellar phase and the light-color high-resistance staggered lamellar phase are that the striation layers appear in groups, and the single-layer occurrence among the groups is not harmonious; the image color of the forward gradient lamellar phase is gradually darker upwards, the image structure is a single-layer thickness and is thinned upwards, the image color of the reverse gradient lamellar phase is gradually lighter upwards, and the image structure is a single-layer thickness and is increased upwards; the image color of the deep color low-resistance deformation lamellar phase is a black-brown system, the image color of the light color high-resistance deformation lamellar phase is a yellow-white system, and the image structures of the deep color low-resistance deformation lamellar phase and the light color high-resistance deformation lamellar phase are striated layer distortion deformation; the image colors of the mutual layer phases are color depth interaction, and the image structures are alternatively the thickness of the grain layers;
the speckled phase further comprises: bright spot phase and dark spot phase; the bright spot phase is uneven in color and in a patch shape, the color of the patch is lighter, and the color of the background matrix is darker; the dark spot phase is uneven in color and in a patch shape, the patch color is darker, and the background matrix color is relatively lighter.
4. The identification method of claim 2, wherein prior to identifying the image information of the acquired electrical imaging log data from a preset electrical imaging log phase, the method further comprises:
configuring colors from light to dark according to the resistivity from low to high;
and, the image information of the electrical imaging logging data obtained according to the preset electrical imaging logging phase identification specifically includes: identifying image information of the electrographic logging data from the electrographic logging phase and the color profile;
wherein the bulk phase further comprises: light-colored low-resistance blocky phase and dark-colored high-resistance blocky phase; wherein, the image color of the light-color low-resistance blocky phase is yellow-white, and the image structure is blocky; the image color of the deep color high-resistance blocky phase is a black-brown system, and the image structure is blocky;
the lamellar phase further comprises: a light-color low-resistance thick layer phase, a dark-color high-resistance thick layer phase, a light-color low-resistance thin layer phase, a dark-color high-resistance thin layer phase, a light-color low-resistance staggered lamellar phase, a dark-color high-resistance staggered lamellar phase, a forward graded lamellar phase, a reverse graded lamellar phase, a light-color low-resistance deformed lamellar phase, a dark-color high-resistance deformed lamellar phase and a mutual layer phase;
the image color of the light-color low-resistance thick layer phase is a yellow-white system, and the image color of the dark-color high-resistance thick layer phase is a black-brown system; the image structures of the light-color low-resistance thick layer phase and the dark-color high-resistance thick layer phase are that internal lines and layers are mutually parallel, the production state is consistent with the top-bottom interface of the stratum, and the single-layer thickness is more than 10 cm; the image color of the light-color low-resistance thin layer phase is a yellow-white system, and the image color of the dark-color high-resistance thin layer phase is a black-brown system; the image structures of the light-color low-resistance thin layer phase and the dark-color high-resistance thin layer phase are that the inner grain layers are parallel to each other, the production state is consistent with the top-bottom interface of the stratum, and the thickness of a single layer is less than 10 cm; the image color of the light-color low-resistance staggered lamellar phase is a yellow-white system, and the image color of the dark-color high-resistance staggered lamellar phase is a black-brown system; the image structures of the light-color low-resistance staggered lamellar phase and the dark-color high-resistance staggered lamellar phase are that the striation layers appear in groups, and the single-layer occurrence among the groups is uncoordinated; the image color of the forward gradient lamellar phase is gradually lighter upwards, the image structure is single-layer thickness and is thinned upwards, the image color of the reverse gradient lamellar phase is gradually darker upwards, and the image structure is single-layer thickness and is increased upwards; the image color of the light-color low-resistance deformable lamellar phase is a yellow-white system, the image color of the dark-color high-resistance deformable lamellar phase is a black-brown system, and the image structures of the light-color low-resistance deformable lamellar phase and the dark-color high-resistance deformable lamellar phase are striated layer distortion deformation; the image colors of the mutual layer phases are color depth interaction, and the image structures are alternatively the thickness of the grain layers;
the speckled phase further comprises: dark spot phase and bright spot phase; wherein the dark spot phase is uneven in color and in a patch shape, the patch is darker in color, and the background matrix is relatively lighter in color; the bright spot phase is uneven in color and in a patch shape, the patch color is lighter, and the background matrix color is darker.
5. An apparatus for identifying a carbonate formation electrical imaging log phase, the apparatus comprising:
the data acquisition unit is used for acquiring the electric imaging logging data of the carbonate rock stratum;
the data processing unit is used for processing the electrical imaging logging data and acquiring image information of the electrical imaging logging data, wherein the image information comprises an image structure and an image color;
the information identification unit is used for identifying the acquired image information of the electrical imaging logging data according to a preset electrical imaging logging phase so as to obtain a carbonate formation electrical imaging logging phase corresponding to the electrical imaging logging data; the electrical imaging logging phase comprises: bulk, lamellar and lamellar phases;
wherein, the image color of the block phase is uniform, and the image structure is block; the image structure of the lamellar phase presents texture or is lamellar; the image of the spot-shaped phase is uneven in color and is in a patch or spot shape, and the color of the patch or spot shape is different from that of the background of the surrounding matrix.
6. The identification device according to claim 5, wherein the data processing unit comprises:
the dynamic processing unit is used for carrying out dynamic image processing on the electric imaging logging data so as to obtain an image structure of the electric imaging logging data;
and the static processing unit is used for carrying out static image processing on the electric imaging logging data so as to obtain the image color of the electric imaging logging data.
7. The identification device of claim 6, further comprising:
the first configuration unit is used for configuring colors from deep to light according to the resistivity from low to high;
the information identification unit is further used for identifying the image information of the electric imaging logging data acquired by the data processing unit according to the electric imaging logging phase and the color configuration of the first configuration unit;
wherein the bulk phase further comprises: a dark low-resistance blocky phase and a light high-resistance blocky phase; wherein the image color of the deep color low-resistance blocky phase is a black-brown system, and the image structure is blocky; the image color of the light-color high-resistance blocky phase is yellow-white, and the image structure is blocky;
the lamellar phase further comprises: a deep color low resistance thick layer phase, a light color high resistance thick layer phase, a deep color low resistance thin layer phase, a light color high resistance thin layer phase, a deep color low resistance staggered lamellar phase, a light color high resistance staggered lamellar phase, a forward graded lamellar phase, a reverse graded lamellar phase, a deep color low resistance deformed lamellar phase, a light color high resistance deformed lamellar phase and a mutual layer phase;
the image color of the deep color low-resistance thick layer phase is a black-brown system, and the image color of the light color high-resistance thick layer phase is a yellow-white system; the image structures of the dark-color low-resistance thick layer phase and the light-color high-resistance thick layer phase are that the inner lines are parallel to each other, the production state is consistent with the top-bottom interface of the stratum, and the single-layer thickness is more than 10 cm; the image color of the dark low-resistance lamellar phase is a black-brown system, and the image color of the light high-resistance lamellar phase is a yellow-white system; the image structures of the dark low-resistance thin layer phase and the light high-resistance thin layer phase are that the inner grain layers are parallel to each other, the production state is consistent with the top-bottom interface of the stratum, and the thickness of a single layer is less than 10 cm; the image color of the deep color low-resistance staggered lamellar phase is a black-brown system, and the image color of the light color high-resistance staggered lamellar phase is a yellow-white system; the image structures of the deep-color low-resistance staggered lamellar phase and the light-color high-resistance staggered lamellar phase are that the striation layers appear in groups, and the single-layer occurrence among the groups is not harmonious; the image color of the forward gradient lamellar phase is gradually darker upwards, the image structure is a single-layer thickness and is thinned upwards, the image color of the reverse gradient lamellar phase is gradually lighter upwards, and the image structure is a single-layer thickness and is increased upwards; the image color of the deep color low-resistance deformation lamellar phase is a black-brown system, the image color of the light color high-resistance deformation lamellar phase is a yellow-white system, and the image structures of the deep color low-resistance deformation lamellar phase and the light color high-resistance deformation lamellar phase are striated layer distortion deformation; the image colors of the mutual layer phases are color depth interaction, and the image structures are alternatively the thickness of the grain layers;
the speckled phase further comprises: bright spot phase and dark spot phase; the bright spot phase is uneven in color and in a patch shape, the color of the patch is lighter, and the color of the background matrix is darker; the dark spot phase is uneven in color and in a patch shape, the patch color is darker, and the background matrix color is relatively lighter.
8. The identification device of claim 6, further comprising:
the second configuration unit is used for configuring the color from light to dark according to the resistivity from low to high;
the information identification unit is further used for identifying the image information of the electric imaging logging data acquired by the data processing unit according to the electric imaging logging phase and the color configuration of the second configuration unit;
wherein the bulk phase further comprises: light-colored low-resistance blocky phase and dark-colored high-resistance blocky phase; wherein, the image color of the light-color low-resistance blocky phase is yellow-white, and the image structure is blocky; the image color of the deep color high-resistance blocky phase is a black-brown system, and the image structure is blocky;
the lamellar phase further comprises: a light-color low-resistance thick layer phase, a dark-color high-resistance thick layer phase, a light-color low-resistance thin layer phase, a dark-color high-resistance thin layer phase, a light-color low-resistance staggered lamellar phase, a dark-color high-resistance staggered lamellar phase, a forward graded lamellar phase, a reverse graded lamellar phase, a light-color low-resistance deformed lamellar phase, a dark-color high-resistance deformed lamellar phase and a mutual layer phase;
the image color of the light-color low-resistance thick layer phase is a yellow-white system, and the image color of the dark-color high-resistance thick layer phase is a black-brown system; the image structures of the light-color low-resistance thick layer phase and the dark-color high-resistance thick layer phase are that internal lines and layers are mutually parallel, the production state is consistent with the top-bottom interface of the stratum, and the single-layer thickness is more than 10 cm; the image color of the light-color low-resistance thin layer phase is a yellow-white system, and the image color of the dark-color high-resistance thin layer phase is a black-brown system; the image structures of the light-color low-resistance thin layer phase and the dark-color high-resistance thin layer phase are that the inner grain layers are parallel to each other, the production state is consistent with the top-bottom interface of the stratum, and the thickness of a single layer is less than 10 cm; the image color of the light-color low-resistance staggered lamellar phase is a yellow-white system, and the image color of the dark-color high-resistance staggered lamellar phase is a black-brown system; the image structures of the light-color low-resistance staggered lamellar phase and the dark-color high-resistance staggered lamellar phase are that the striation layers appear in groups, and the single-layer occurrence among the groups is uncoordinated; the image color of the forward gradient lamellar phase is gradually lighter upwards, the image structure is single-layer thickness and is thinned upwards, the image color of the reverse gradient lamellar phase is gradually darker upwards, and the image structure is single-layer thickness and is increased upwards; the image color of the light-color low-resistance deformable lamellar phase is a yellow-white system, the image color of the dark-color high-resistance deformable lamellar phase is a black-brown system, and the image structures of the light-color low-resistance deformable lamellar phase and the dark-color high-resistance deformable lamellar phase are striated layer distortion deformation; the image colors of the mutual layer phases are color depth interaction, and the image structures are alternatively the thickness of the grain layers;
the speckled phase further comprises: dark spot phase and bright spot phase; wherein the dark spot phase is uneven in color and in a patch shape, the patch is darker in color, and the background matrix is relatively lighter in color; the bright spot phase is uneven in color and in a patch shape, the patch color is lighter, and the background matrix color is darker.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102352749A (en) * | 2011-09-19 | 2012-02-15 | 中国石油天然气股份有限公司 | Method and device for identifying effective reservoir of dolomite of karst weathering crust |
| CN102681013A (en) * | 2012-04-17 | 2012-09-19 | 中国石油天然气股份有限公司 | Method and device for establishing carbonate reservoir space model |
| CN105089650A (en) * | 2014-04-22 | 2015-11-25 | 中国石油化工股份有限公司 | Evaluation method of reservoir cap assemblages and prediction method of reservoir productivity |
| CN106062310A (en) * | 2014-02-28 | 2016-10-26 | 界标制图有限公司 | Facies definition using unsupervised classification procedures |
| CN106529667A (en) * | 2016-09-23 | 2017-03-22 | 中国石油大学(华东) | Logging facies identification and analysis method based on fuzzy depth learning in big data environment |
| CN109389128A (en) * | 2018-08-24 | 2019-02-26 | 中国石油天然气股份有限公司 | Automatic extraction method and device for electric imaging logging image characteristics |
| US11003952B2 (en) | 2018-08-24 | 2021-05-11 | Petrochina Company Limited | Method and apparatus for automatically recognizing electrical imaging well logging facies |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1687806A (en) * | 2005-06-10 | 2005-10-26 | 中油测井技术服务有限责任公司 | Full well wall restoring method for electric imaging logging map |
| CN101290355A (en) * | 2007-04-17 | 2008-10-22 | 中国石油集团东方地球物理勘探有限责任公司 | Method for determining carbonate rock hydrocarbon reservoir structure |
-
2010
- 2010-05-27 CN CN2010101933421A patent/CN101899971A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1687806A (en) * | 2005-06-10 | 2005-10-26 | 中油测井技术服务有限责任公司 | Full well wall restoring method for electric imaging logging map |
| CN101290355A (en) * | 2007-04-17 | 2008-10-22 | 中国石油集团东方地球物理勘探有限责任公司 | Method for determining carbonate rock hydrocarbon reservoir structure |
Non-Patent Citations (1)
| Title |
|---|
| 李多丽等: "塔中Ⅰ号坡折带礁滩型储集层沉积微相成像测井解释", 《新疆石油地质》, vol. 30, no. 2, 30 April 2009 (2009-04-30) * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102352749A (en) * | 2011-09-19 | 2012-02-15 | 中国石油天然气股份有限公司 | Method and device for identifying effective reservoir of dolomite of karst weathering crust |
| CN102681013A (en) * | 2012-04-17 | 2012-09-19 | 中国石油天然气股份有限公司 | Method and device for establishing carbonate reservoir space model |
| CN102681013B (en) * | 2012-04-17 | 2013-07-10 | 中国石油天然气股份有限公司 | Method and device for establishing carbonate reservoir space model |
| CN106062310A (en) * | 2014-02-28 | 2016-10-26 | 界标制图有限公司 | Facies definition using unsupervised classification procedures |
| CN105089650A (en) * | 2014-04-22 | 2015-11-25 | 中国石油化工股份有限公司 | Evaluation method of reservoir cap assemblages and prediction method of reservoir productivity |
| CN105089650B (en) * | 2014-04-22 | 2018-03-13 | 中国石油化工股份有限公司 | The method and Reservoir Productivity Prediction Method of evaluation storage lid combination |
| CN106529667A (en) * | 2016-09-23 | 2017-03-22 | 中国石油大学(华东) | Logging facies identification and analysis method based on fuzzy depth learning in big data environment |
| CN106529667B (en) * | 2016-09-23 | 2018-10-30 | 中国石油大学(华东) | Well-log facies recognition and analysis method based on fuzzy deep learning under a kind of big data environment |
| CN109389128A (en) * | 2018-08-24 | 2019-02-26 | 中国石油天然气股份有限公司 | Automatic extraction method and device for electric imaging logging image characteristics |
| US11003952B2 (en) | 2018-08-24 | 2021-05-11 | Petrochina Company Limited | Method and apparatus for automatically recognizing electrical imaging well logging facies |
| US11010629B2 (en) | 2018-08-24 | 2021-05-18 | Petrochina Company Limited | Method for automatically extracting image features of electrical imaging well logging, computer equipment and non-transitory computer readable medium |
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