CN113534288A - Shallow water delta finger-shaped sand dam reservoir configuration identification method, device, medium and equipment - Google Patents
Shallow water delta finger-shaped sand dam reservoir configuration identification method, device, medium and equipment Download PDFInfo
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Abstract
The invention relates to a method for identifying the configuration of a finger-shaped dam reservoir of an Delta and a readable storage medium, comprising the following steps of: 1) identifying the macro distribution of the finger-shaped sand dam through fine calibration of a well seismic horizon, and determining the lateral boundary of the finger-shaped sand dam; 2) establishing a finger-shaped sand body three-dimensional sand body model based on the lateral boundary of the finger-shaped sand dam, and determining the thickness plane distribution of the finger-shaped sand body; 3) the rock-electricity calibration identifies different configuration units in the finger-shaped sand dam; 4) determining the plane distribution of different configuration units in the finger-shaped sand dam; 5) and combining the thickness plane distribution of the finger-shaped sand body with the plane distribution of the units with different configurations in the finger-shaped sand dam to obtain a three-dimensional configuration model of the finger-shaped sand dam reflecting the spatial distribution characteristics of the configuration units. The method for identifying the configuration of the fingered dam reservoir of the delta can accurately predict the macroscopic distribution of the fingered dam, the distribution and contact relation of different configuration units in the fingered dam, and provides support for the exploration and development of the oil and gas reservoir of the fingered dam of the shallow water delta.
Description
Technical Field
The invention relates to the technical field of oil exploration, in particular to a shallow water delta finger-shaped sand dam reservoir configuration identification method, device, medium and equipment.
Background
The importance of reservoir geometry and internal structural studies was first realized by Allen (1977), and Miall proposed a method for analysis of formation elements and defined reservoir configurations in 1985. Later, scholars at home and abroad pay attention to the research on the internal configuration of the reservoir and continuously perfect the definition of the configuration of the reservoir, and at present, the configuration of the reservoir is generally defined as the geometric shape, the scale, the direction and the mutual overlapping relation of the structural units of different levels. Compared with the traditional concept of sedimentary facies (the combination of a sedimentary environment and sedimentary rock (object) features formed in the environment), the reservoir configuration emphasizes the hierarchy of different constituent units. Wu heshu et al (2013) divided the reservoir configuration into 12 ranks. Reservoir configuration research is beneficial to understanding the heterogeneity of underground reservoirs, and further has important guiding significance for well position deployment of oil and gas fields and residual oil potential excavation in the later development period. Therefore, scholars at home and abroad research reservoir configuration modes of different sedimentary systems (such as alluvial fans, rivers, deltas and the like) by methods of modern sedimentation, field outcrop, sedimentation simulation, underground geological analysis and the like so as to guide exploration and development of different types of oil and gas reservoirs.
The concept of finger dams was first proposed by Fisk et al (1954) who thought it consisted of diversion channels, estuary dams and bank deposits, but developed primarily in deep water deltas typical of modern mississippi river deltas. Donaldson discovered that finger dams can also develop in shallow water hillside delta until 1969. At present, modern sedimentation of shallow water gentle slope delta finger-shaped sand dams common in lakes and basins worldwide is significant for predicting narrow-band wetland and fertile land formed by the shallow water gentle slope delta finger-shaped sand dams by researching configuration characteristics and formation mechanisms of the shallow water gentle slope delta finger-shaped sand dams. In addition, many reservoirs consisting of shallow water gentle slope delta finger dams have been found in the triple-fold extension group of the deltoid basin, 6 to 8 oil groups and the lower section of the recent Ming-Zhen group of the Bohai Bay basin. The distribution of the finger-shaped sand dams affects the macroscopic distribution of oil and gas reservoirs and consequently the determination of oil and gas drilling targets, while the internal configuration affects the distribution of reservoir heterogeneity and seepage barriers and consequently the subsurface oil-water movement during development. Therefore, the deep knowledge of the macroscopic distribution and the internal configuration of the finger-shaped sand dam has important practical significance for guiding the fine exploration and development of oil and gas.
Studies of finger dams by scholars have focused on deep water deltas and are typically represented by the bird foot shaped milsiberia river delta. For shallow water delta, scholars pay more attention to the flow-dividing channel and the doliform sand dam at the front edge of the plain, the macroscopic distribution and the internal configuration characteristics of the flow-dividing channel and the doliform sand dam are determined, a configuration mode is established, and a configuration characterization technology is provided. However, the shallow water delta finger dam was less studied by predecessors.
At present, the configuration mode of the shallow water delta finger-shaped sand dam is not complete. The macroscopic form of the finger-shaped sand dam is similar to that of a river channel sand body, the configuration mode and the representation technology of the river channel (a meandering river, a delta plain diversion river channel) sand body are researched more by the predecessors, but the difference is that compared with the river channel sand body, the quantitative geometrical relationship (such as width-depth ratio, curvature and the like) of the finger-shaped sand dam is not clear, three different configuration units of the diversion river channel, a estuary dam and a natural dike exist in the sand body, the contact relationship among the three configuration units is complex, and the configuration mode and the representation technology of the river channel sand body are not suitable. The well data can identify different configuration unit types, but the finger-shaped sand dam is in a narrow strip shape, the width of the finger-shaped sand dam is only 1-2 well intervals, and the difficulty in predicting the lateral well distribution of the finger-shaped sand dam by using the well data is high. High-resolution seismic data can identify the macroscopic distribution of the finger-shaped sand dam, but the distribution of different configuration units in the finger-shaped sand dam is difficult to identify. Therefore, the configuration research of the underground shallow water delta finger-shaped sand dam reservoir has certain difficulties, and a three-dimensional reservoir configuration characterization technology of the shallow water delta finger-shaped sand dam is lacked at present.
Disclosure of Invention
Aiming at the problems, the invention aims to provide a shallow water delta finger-shaped dam reservoir configuration identification method, a device, a medium and equipment, which can be used for accurately predicting the macroscopic distribution of the finger-shaped dam, the distribution and contact relation of different internal configuration units and a fine three-dimensional configuration distribution model and provide important technical support for the exploration and development of an oil and gas reservoir of the shallow water delta finger-shaped dam.
In order to achieve the purpose, the invention adopts the following technical scheme:
a shallow water delta finger-shaped sand dam reservoir configuration identification method comprises the following steps:
1) identifying the macro distribution of the finger-shaped sand dam through fine calibration of a well seismic horizon, and determining the lateral boundary of the finger-shaped sand dam;
2) establishing a finger-shaped sand body three-dimensional sand body model based on the lateral boundary of the finger-shaped sand dam, and determining the thickness plane distribution of the finger-shaped sand body;
3) the rock-electricity calibration identifies different configuration units in the finger-shaped sand dam;
4) determining the plane distribution of different configuration units in the finger-shaped sand dam;
5) and combining the thickness plane distribution of the finger-shaped sand body with the plane distribution of the units with different configurations in the finger-shaped sand dam to obtain a three-dimensional configuration model of the finger-shaped sand dam reflecting the spatial distribution characteristics of the configuration units.
Further, the seismic attributes with the highest sand body correlation coefficient and the inversion results are adopted in the step 1) for well seismic calibration, so that the lateral boundary of the finger-shaped sand dam can be accurately identified.
Further, in the step 2), the single-well interpretation sand body data is used as conditional data, the seismic inversion data body is used as cooperative data, a three-dimensional sand body model of the finger-shaped sand dam is established by using a cooperative sequential indication simulation method based on variable processes under the constraint of the boundary of the finger-shaped sand dam, and the thickness plane distribution of the finger-shaped sand body is determined.
Further, the use of the seismic inversion data volume as the collaborative data refers to a correlation or probability relationship between the spatial distribution of the seismic attributes or the inversion results and the sand thickness distribution;
the variable range refers to a variable range direction, the plane distribution of the main variable range direction is calculated according to the finger-shaped sand dam boundary, and the variable range direction is restrained according to the plane distribution; and the sequential indication simulation method carries out modeling for at least 50 times, and takes the part with the sand body occurrence probability exceeding 50% as the final sand body three-dimensional distribution.
Further, the rock electrical calibration in the step 3) is to identify different configuration units according to characteristics of sedimentary rhythm, granularity, thickness, sedimentary structure and the like in core data of the core, calibrate the configuration units on an electrical logging curve, determine logging response characteristics of the different configuration units, and explain the configuration units encountered by the core of the non-coring well by using the logging curve.
Further, the modern shallow water delta finger-shaped dam deposition is used as a mode guide in the step 4), and the plane distribution of the configuration units is determined through plane and section interaction.
Further, in the step 5), the single-well configuration interpretation result is used as conditional data, the lateral boundary of the configuration unit is constrained by the plane distribution of the configuration unit, the vertical boundary of the configuration unit is constrained by the sand thickness, and a deterministic modeling method based on the configuration interface is utilized to establish a finger-shaped sand dam three-dimensional configuration model.
A shallow water delta finger dam reservoir configuration recognition device comprises:
the first processing unit is used for identifying the macro distribution of the finger-shaped sand dam through fine calibration of a well seismic horizon and determining the lateral boundary of the finger-shaped sand dam;
the second processing unit is used for establishing a finger-shaped sand body three-dimensional sand body model according to the lateral boundary of the finger-shaped sand dam and determining the thickness plane distribution of the finger-shaped sand body;
the third processing unit is used for identifying a configuration unit in the finger-shaped sand dam by rock-electricity calibration;
the fourth processing unit is used for determining the plane distribution of the units with different configurations in the finger-shaped sand dam;
and the fifth processing unit is used for combining the thickness plane distribution of the finger-shaped sand body with the plane distribution of different configuration units in the finger-shaped sand dam to obtain a finger-shaped sand dam three-dimensional configuration model reflecting the spatial distribution characteristics of the configuration units.
A computer-readable storage medium storing a computer program for implementing the shallow water delta finger dam reservoir configuration identification method when executed by a processor.
A computer apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor when executing the computer program implementing the steps of the shallow water delta finger dam reservoir configuration identification method.
Due to the adoption of the technical scheme, the invention has the following advantages:
1) by adopting a well-to-seismic combination research method, abundant three-dimensional seismic information is fully utilized, the defect that the well spacing in the lateral direction of the narrow strip fingered sand dam is overlarge is made up, and the uncertainty of inter-well configuration prediction is reduced;
2) the method of firstly determining two-dimensional distribution of the finger-shaped sand dams and then determining three-dimensional distribution of the finger-shaped sand dams by combining well and seismic is adopted, so that better correlation or probability relation of seismic attributes, inversion data volumes and sand body space distribution is fully utilized, and the problem of insufficient correlation of the seismic attributes, inversion results and sand body thickness is avoided;
3) the modeling difficulty of the change of the bending finger-shaped sand dam extension method is solved by adopting a modeling method based on a plane variable range method;
4) the finger-shaped sand dam sand body three-dimensional distribution prediction adopts a random method of cooperative sequential indication, which is beneficial to carrying out reservoir uncertainty evaluation and can also determine a prediction result through 50% probability distribution;
5) the uncertainty of inter-well configuration prediction is reduced by combining the analysis of configuration plane distribution with the modern sedimentation mode of the shallow water delta finger-shaped sand dam; compared with the traditional human-computer interaction identification method, the configuration modeling method based on the configuration interface is time-saving and labor-saving, and can better reflect different morphological characteristics and contact relations of configuration units in the finger-shaped sand dam.
Drawings
Fig. 1 is a flowchart of a shallow water delta finger dam reservoir configuration identification method according to an embodiment of the present invention;
FIG. 2 is a plan view of seismic attributes;
FIG. 3 is a three-dimensional model of a finger-shaped sand dam body;
FIG. 4 is a planar distribution of finger-shaped sand thickness;
FIG. 5 is a core histogram of a cored well;
FIG. 6 is a distribution of planar configured cells within a finger dam;
fig. 7 is a three-dimensional model of the finger-shaped sand dam.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inside", "outside", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the system or element referred to must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used to define elements only for convenience in distinguishing between the elements, and unless otherwise stated have no special meaning and are not to be construed as indicating or implying any relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
As shown in fig. 1, a shallow water delta finger dam reservoir configuration identification method provided for an embodiment of the present invention includes the following steps:
1) identifying the macro distribution of the finger-shaped sand dam through fine calibration of a well seismic horizon, and determining the lateral boundary of the finger-shaped sand dam (as shown in figure 2);
2) establishing a three-dimensional sand body model of the finger-shaped sand dam sand body based on the lateral boundary of the finger-shaped sand dam (as shown in figure 3), and determining the thickness plane distribution of the finger-shaped sand body (as shown in figure 4), wherein the thickness plane distribution of the finger-shaped sand dam refers to the sand body thickness of the finger-shaped sand dam at different positions and different positions in the three-dimensional model;
3) the rock-electricity calibration identifies different configuration units in the finger-shaped sand dam (as shown in figure 5);
4) determining the planar distribution of differently configured elements within the finger dam (as shown in FIG. 6);
5) and combining the thickness plane distribution of the finger-shaped sand body with the plane distribution of the units with different configurations in the finger-shaped sand dam to obtain a three-dimensional configuration model of the finger-shaped sand dam (as shown in fig. 7) reflecting the spatial distribution characteristics of the configured units.
It should be noted that the method is completed on the scale of the single-stage finger-shaped sand body of the sand dam, and needs to be performed on the basis of small-layer or single-layer vertical division corresponding to the single-stage sand body.
In the step 1), the well seismic calibration needs to select seismic attributes and inversion results with good correlation with sand bodies, so as to accurately identify the lateral boundary of the finger-shaped sand dam. In areas where seismic response is poor, the finger dam boundaries should be slightly enlarged to ensure that all finger dam sand is contained within the boundaries. The seismic attributes with the highest sand correlation coefficient and the inversion results are preferably adopted to carry out well seismic calibration so as to accurately identify the lateral boundary of the finger-shaped sand dam.
It should be noted that the lateral boundary of the finger-shaped sand dam obtained in step 1) is not an accurate result and approximates to the lateral envelope curve of the finger-shaped sand dam, and this boundary is mainly used in step 2).
In the step 2), the single-well explained sand body data is used as conditional data, the seismic inversion data body is used as collaborative data, a three-dimensional sand body model of the finger-shaped sand dam is established by using a collaborative sequential indication simulation method based on variable processes under the constraint of the boundary of the finger-shaped sand dam, and then the sand body thickness plane distribution in the three-dimensional sand body model is determined.
Because the plane distribution value of the seismic attributes mostly has no good correlation with the sand thickness, the seismic attributes with good correlation with the sand thickness or the spatial distribution of the inversion result can have better correlation or probability relation with the sand spatial distribution. Therefore, the seismic attributes or the spatial distribution of the inverted data volume can be used as collaborative data to determine the three-dimensional sand distribution of the finger-shaped sand dam, and further determine the sand thickness plane distribution of the finger-shaped sand dam.
The method needs a high-resolution three-dimensional seismic data volume, the slice of the seismic attribute or the inversion result can reflect the macroscopic distribution of the finger-shaped sand dam, and the data volume can have a good correlation relationship or probability relationship with the finger-shaped sand dam. The seismic attributes can be coherent bodies, root mean square, maximum peak or valley amplitude and the like, the seismic inversion is carried out by using wave impedance or using natural gamma and shale content well logging curves, and the attributes or inversion results can have better response to sandstone in rocks. Due to the fact that the thickness of the sand bodies of the finger-shaped sand dams at different positions is different, the distribution and the lateral boundary of the sand bodies of the finger-shaped sand dams can be predicted by combining different seismic attributes and inversion results according to seismic response characteristics.
The variable range in the step 2) refers to a variable range direction, the plane distribution of the main variable range direction is calculated according to the finger-shaped sand dam boundary, and the variable range direction is restrained according to the plane distribution. For the curved strip-shaped finger-shaped sand dam, the extension direction changes along the source, the main stroke direction also changes, the plane distribution of the main stroke direction can be calculated according to the boundary of the finger-shaped sand dam, and the stroke direction is restrained according to the plane distribution.
The sequential indication simulation method in the step 2) is a random modeling method, the modeling results are different, therefore, in order to enable data to have statistical significance, modeling needs to be carried out for at least 50 times, and the part with the sand body occurrence probability exceeding 50% is used as the final sand body three-dimensional distribution.
As shown in fig. 5, the rock electrical calibration in step 3) is to identify different configuration units according to characteristics of sedimentary prosody, granularity, thickness, sedimentary structure and the like in core data of the coring well, calibrate the configuration units on an electrical logging curve, determine logging response characteristics of the different configuration units, and explain the configuration units encountered by the non-coring well by using the logging curve. The finger-shaped sand dam internal configuration unit comprises a diversion river channel, a estuary dam and a natural dike.
The configuration unit identifies and obtains that the diversion river represents sand bodies with positive rhythm and coarse granularity on the core, the bottom develops a flushing surface, the logging response is thick sand bodies with high amplitude, bell shape or box shape, and the bottom interface is lower than the sand body interface of the estuary dam; the estuary dam is characterized in that a rock core is thick sand with inverse rhythm and coarse granularity, and the logging response is high-amplitude and funnel-shaped; the natural dike is mainly positioned at the top of the estuary dam, the core is presented with thin sand body with fine granularity, and the logging response is low-amplitude and finger-shaped.
And 4) determining the plane distribution of the configuration units by using the modern shallow water delta finger-shaped sand dam deposition as a mode guide and through the interaction of the plane and the section.
And 5) taking the single-well configuration interpretation result as conditional data, constraining the lateral boundary of the configuration unit by using the plane distribution of the configuration unit, constraining the vertical boundary of the configuration unit by using the sand thickness, and establishing a finger-shaped sand dam three-dimensional configuration model by using a deterministic modeling method based on a configuration interface.
In the step 5), the section shape difference of interfaces with different configurations needs to be considered, the estuary dam is in a bottom flat top convex shape, the diversion river channel is in a top flat bottom convex shape, the thickness of the natural dike is small, and the section shape is not obvious.
Based on the deterministic modeling method of the configuration interface, the lateral boundary of the configuration unit is controlled by the configuration plane distribution, and the top-bottom interface of the configuration unit explains the result and the sand thickness through the single well configuration. The section form difference of interfaces with different configurations needs to be considered, the estuary dam is in a bottom flat top convex form, the bottom interface is parallel to a stratum interface, and the depth of the top interface is the difference between the depth of the bottom interface and the thickness of a sand body; the diversion river channel is in a top flat and bottom convex shape, the top interface is parallel to the stratum interface, and the bottom interface is the sum of the depth of the top interface and the thickness of sand bodies; the natural dike covers the estuary dam, the bottom interface is superposed with the top interface of the estuary dam, and the top interface is the difference between the depth of the bottom interface and the thickness of the sand body.
In the step 5), the contact relation of interfaces with different configurations needs to be considered, the diversion river channel cuts through the estuary dam, so that the estuary dam is positioned at two sides of the diversion river channel, and the natural dike covers the estuary dam. Considering the contact relation, three-dimensional configuration models of the estuary dam, the diversion river channel and the natural dike can be respectively established, specifically, the single-well sand body can be firstly interpreted as the estuary dam, and a 'estuary dam' model is established by utilizing the single-well interpretation result and the sand body thickness, which is equivalent to the model comprising the estuary dam, the diversion river channel and the natural dike; furthermore, a natural levee model is established by utilizing the interpretation result of the single-well natural levee and the thickness of the natural levee sand body, the thickness of the natural levee sand body is thinner, the thickness change in the lateral direction is not large, and the interpolation of well data can be directly utilized; further, a diversion river model is built by using the single-well diversion river interpretation result and the sand body thickness; and finally, embedding the three-dimensional distribution of the natural dike and the diversion river into the estuary dam model respectively and sequentially to obtain a finger-shaped sand dam configuration model.
The method is not only suitable for the shallow water delta finger-shaped sand dam, but also suitable for the deep water delta finger-shaped sand dam. However, the section of the estuary dam of the deep water delta finger-shaped sand dam is biconvex, the top and bottom interface of the deep water delta finger-shaped sand dam needs to establish a top surface or a bottom surface construction surface of the estuary dam, and the other surface is further controlled by the thickness of the sand body.
The method is successfully applied to the identification of the reservoir configuration of the finger-shaped sand dam in shallow water delta in certain oil field in the east of China, the width of the finger-shaped sand dam is more than 1000m, the average width is 500m, and the width is about 1-2 well intervals.
The method for identifying the configuration of the fingered dam reservoir of the delta can accurately predict the macroscopic distribution of the fingered dam, the distribution and contact relation of different configuration units in the fingered dam and a fine three-dimensional configuration distribution model, and provides an important technical support for the exploration and development of the oil and gas reservoir of the fingered dam of the shallow water delta.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A shallow water delta finger-shaped sand dam reservoir configuration identification method is characterized by comprising the following steps:
1) identifying the macro distribution of the finger-shaped sand dam through fine calibration of a well seismic horizon, and determining the lateral boundary of the finger-shaped sand dam;
2) establishing a finger-shaped sand body three-dimensional sand body model based on the lateral boundary of the finger-shaped sand dam, and determining the thickness plane distribution of the finger-shaped sand body;
3) the rock-electricity calibration identifies different configuration units in the finger-shaped sand dam;
4) determining the plane distribution of different configuration units in the finger-shaped sand dam;
5) and combining the thickness plane distribution of the finger-shaped sand body with the plane distribution of the units with different configurations in the finger-shaped sand dam to obtain a three-dimensional configuration model of the finger-shaped sand dam reflecting the spatial distribution characteristics of the configuration units.
2. The shallow water delta finger dam reservoir configuration identification method according to claim 1, characterized in that in the step 1), well seismic calibration is performed by using seismic attributes with highest sand body correlation coefficient and inversion results, so as to accurately identify the lateral boundary of the finger dam.
3. The shallow water delta finger dam reservoir configuration identification method according to claim 1, wherein in the step 2), the single well interpretation sand body data is used as condition data, the seismic inversion data body is used as cooperative data, and under the constraint of the finger dam boundary, a three-dimensional sand body model of the finger dam is established by using a cooperative sequential indication simulation method based on variable processes, so as to determine the thickness plane distribution of the finger dam sand body.
4. The shallow water delta finger dam reservoir configuration identification method of claim 3, wherein the seismic inversion data volume as the collaborative data refers to a correlation or probability relationship that the spatial distribution of seismic attributes or inversion results has with sand thickness distribution;
the variable range refers to a variable range direction, the plane distribution of the main variable range direction is calculated according to the finger-shaped sand dam boundary, and the variable range direction is restrained according to the plane distribution; and the sequential indication simulation method carries out modeling for at least 50 times, and takes the part with the sand body occurrence probability exceeding 50% as the final sand body three-dimensional distribution.
5. The shallow water delta finger-shaped sand dam reservoir configuration identification method as claimed in claim 1, wherein the electro-lithology calibration in step 3) is to identify different configuration units through characteristics of sedimentary rhythm, granularity, thickness, sedimentary structure and the like in core data of a core well, calibrate the different configuration units on an electrical logging curve, determine logging response characteristics of the different configuration units, and further explain a configuration unit drilled in a non-core well by using the logging curve.
6. The shallow water delta finger dam reservoir configuration identification method according to claim 1, characterized in that in the step 4), the plane distribution of configuration units is determined through plane and profile interaction by using modern shallow water delta finger dam deposition as a mode guide.
7. The shallow water delta finger dam reservoir configuration identification method according to claim 1, characterized in that in the step 5), the single well configuration interpretation result is used as conditional data, the lateral boundary of the configuration unit is constrained by the plane distribution of the configuration unit, the vertical boundary of the configuration unit is constrained by the sand body thickness, and a deterministic modeling method based on the configuration interface is utilized to establish a finger dam three-dimensional configuration model.
8. A shallow water delta finger dam reservoir configuration recognition device, characterized by comprising:
the first processing unit is used for identifying the macro distribution of the finger-shaped sand dam through fine calibration of a well seismic horizon and determining the lateral boundary of the finger-shaped sand dam;
the second processing unit is used for establishing a finger-shaped sand body three-dimensional sand body model according to the lateral boundary of the finger-shaped sand dam and determining the thickness plane distribution of the finger-shaped sand body;
the third processing unit is used for identifying a configuration unit in the finger-shaped sand dam by rock-electricity calibration;
the fourth processing unit is used for determining the plane distribution of the units with different configurations in the finger-shaped sand dam;
and the fifth processing unit is used for combining the thickness plane distribution of the finger-shaped sand body with the plane distribution of different configuration units in the finger-shaped sand dam to obtain a finger-shaped sand dam three-dimensional configuration model reflecting the spatial distribution characteristics of the configuration units.
9. A computer-readable storage medium, characterized in that a computer program is stored which, when being executed by a processor, is adapted to carry out the shallow water delta finger dam reservoir configuration identification method according to any one of claims 1-7.
10. A computer apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program performs the steps of the shallow water delta finger dam reservoir configuration identification method of claims 1-7.
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