CN111239820A - Deep sea leaf reservoir configuration characterization method based on well-seismic mode fitting - Google Patents
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Abstract
The invention discloses a deep sea leafy reservoir configuration characterization method based on well seismic pattern fitting, which comprises the following steps of determining configuration element types and well seismic response characteristics of the configuration element types; dividing a deep sea multi-leaf configuration interface system; reservoir configuration characterization of the leaf system level; reservoir configuration characterization of the composite leaf series level; and (5) reservoir configuration characterization of a composite leaf level. The invention provides a thought for developing underground reservoir configuration research by using well-seismic combination, realizes scientific and reasonable prediction of flow paths, geometric forms, scale sizes and mutual superposition relations of different-level cause sand bodies of deep sea leaf deposits, and achieves effective characterization of the heterogeneity of deep sea leaf oil-gas reservoirs, thereby providing important geological basis and guidance for well position deployment, well pattern design, injection-production corresponding relation analysis, residual oil distribution prediction and the like of the oil-gas reservoirs.
Description
Technical Field
The invention relates to a deep-sea leafy reservoir configuration characterization method based on well-seismic mode fitting, and belongs to the technical field of oil and gas field development.
Background
Deep sea deposition is a hotspot and a leading edge field of oil and gas exploration and development in the world nowadays, wherein deep sea leaf deposition is known as a high-yield and high-recovery reservoir in deep sea deposition due to good reservoir performance, large plane distribution area and relatively weak heterogeneity, and also forms the focus of deep sea system research.
However, although such reservoirs have high porosity and permeability, the reservoirs are influenced by factors such as climate, sea level elevation, basin size and shape, sediment supply and the like, the internal structures (connectivity, geometric forms, lithology and the like) of the reservoirs are complex and changeable, the leaf bodies are often rich in sand, sand and mud layers at the edges of the leaf bodies, water channels (supply water channels and external cut-in water channels) are developed on the surfaces of the leaf bodies, and in addition, different hierarchical configuration units (leaf systems, composite leaves and the like) are mutually overlapped to cause different horizontal and vertical communication degrees, so that the efficient development of the reservoirs is seriously restricted.
Therefore, the full cognition of the underground deep-sea leaflet reservoir configuration characteristics is a premise for realizing the efficient development of the oil-gas reservoir, and an effective reservoir configuration method aiming at the deep-sea leaflet deposition characteristics and the large well spacing of a deep-sea operation area is urgently needed. In the prior reservoir configuration characterization method, a reservoir configuration characterization method aiming at ocean deep water areas and deep sea multi-leaf sedimentation is urgently needed, wherein the reservoir configuration characterization method mainly aims at terrestrial sedimentary formations such as meandering rivers, plaited rivers, deltas and alluvial fans and is based on land dense well network areas of multi-well mode fitting.
Disclosure of Invention
The invention mainly overcomes the defects in the prior art, provides a deep sea leaf reservoir configuration characterization method based on well-seismic pattern fitting, and finely describes the sand body cause types, forms, flow paths, scales and mutual superposition relations of the deep sea leaf deposits of different scales of the underground, so as to solve the problems in the prior art.
The technical scheme provided by the invention for solving the technical problems is as follows: a deep sea multi-leaf reservoir configuration characterization method based on well-seismic mode fitting comprises the following steps:
step S10, determining the type of the configuration elements and the well earthquake response characteristics thereof: determining the configuration elements of the deep sea leaf sedimentary layer system based on the core-logging-earthquake calibration result, and determining the sedimentary characteristics, logging response characteristics and earthquake response characteristics of all the configuration elements;
step S20, dividing the deep sea multi-leaf configuration interface system: based on the configuration elements, the well logging response characteristics and the seismic response characteristics in the step S10, sequentially recognizing the configuration interface level of deep sea leaf oil reservoir exploration and development scale from large to small, determining the underground characterization feasibility of the leaf system level, the composite leaf series level and the composite leaf level under the well-seismic combination condition, and respectively analyzing the leaf system level configuration interface characteristics, the composite leaf series level configuration interface characteristics and the composite leaf level configuration interface characteristics;
step S30, reservoir configuration characterization of the leaf system level: based on analysis of the interface characteristics of the leaf system level configuration, carrying out identification and explanation of the leaf system level seismic horizon, carrying out section configuration dissection on the leaf system, and determining the mutual overlapping relation between configuration elements in the leaf system; realizing lateral demarcation of the leaf system and the internal configuration elements thereof, and acquiring the form, scale and plane combination relation of each internal configuration element;
step S40, reservoir configuration characterization of the composite leaf series grade: determining whether to carry out identification and fine tracking explanation of the seismic horizon of the composite leaf series grade by taking the result of the reservoir structure configuration characterization of the leaf series grade as constraint, namely the vertical stage of the composite leaf series; then carrying out the dissection of the section configuration of the compound leaf series, and determining the number, the thickness and the mutual overlapping relation of the compound leaf series; realizing the lateral demarcation of the compound leaf series, and acquiring the plane flow path, the shape, the width and the mutual overlapping relation of the compound leaf series;
step S50, reservoir configuration characterization of the composite leaf level: determining whether to identify and finely explain the seismic horizon of the composite leaf level, namely the vertical stage of the composite leaves, by taking the result of the reservoir configuration characterization of the composite leaf series level as a constraint; then carrying out section configuration dissection on the composite leaves, and determining the number, thickness and mutual overlapping relation of the composite leaves in each stage series; and (3) performing plane fitting on the well-seismic-mode by taking the section as constraint, and correcting production dynamic and four-dimensional seismic data to obtain the plane flow path, form and width of the composite leaves and the mutual overlapping and communicating relation of the flow path, the form and the width.
In a further technical scheme, the sedimentation characteristic, the logging response characteristic and the seismic response characteristic of each configuration element in the step S10 are clear according to coring data, logging data and seismic data.
The further technical scheme is that the underground characterization feasibility of the leaf system level, the compound leaf system level and the compound leaf level under the well-seismic combination condition in the step S20 is determined according to the abundance and quality of well logging data and seismic data.
The further technical scheme is that the lateral demarcation of the leaf system and the internal configuration elements thereof in the step S30 is realized by carrying out well-seismic attribute quantitative analysis of well-seismic combination, preferably extracting plane seismic attributes, and further carrying out well-seismic-mode fitting of the leaf system by using a plane-section multi-dimensional interaction method under the guidance of the deposit mode of the leaf system.
The further technical scheme is that whether the identification and the fine tracking explanation of the composite leaf series level seismic horizon are carried out in the step S40 is determined by taking the result of the structural characterization of the leaf series level reservoir stratum as a constraint, selecting a source-cut direction well-seismic combined section, recognizing a vertical superposition mode of the composite leaf series section and distinguishing two situations of a limited landform environment and a non-limited landform environment.
The further technical scheme is that in the step S40, the lateral demarcation of the composite leaf series is implemented by using a section as a constraint, preferably extracting a plane seismic attribute capable of reflecting the distribution of the composite leaf series boundary, determining the geological identification feature of the lateral boundary of the composite leaf series on a plane, and then performing plane fitting on the well-seismic-pattern by using a plane-section multi-dimensional interaction method under the guidance of the composite leaf series plane configuration pattern.
The further technical scheme is that whether the identification and the fine explanation of the composite leaf-level seismic horizon are carried out in the step S50 is realized by selecting a well-seismic combined section of the cut composite leaf series in the flow direction and recognizing a vertical stacking mode of the composite leaf section by taking the result of the reservoir configuration characterization of the composite leaf series level as constraint.
The further technical scheme is that the composite leaf plane flow path, the form, the width and the mutual overlapping and communicating relation in the step S50 are all determined by taking a section as constraint, preferably extracting plane seismic attributes capable of reflecting the distribution of the composite leaf boundary, determining the geological identification characteristics of the lateral boundary of the composite leaf on the plane, further performing plane fitting on the well-seismic mode under the guidance of the composite leaf plane configuration mode, primarily determining the plane lateral boundary of the composite leaf, and obtaining the composite leaf plane flow path, the form and the width through the correction of production dynamic and four-dimensional seismic data.
The invention has the following beneficial effects: the invention provides a thought for developing underground reservoir configuration research by using well-seismic combination, realizes scientific and reasonable prediction of flow paths, geometric forms, scale sizes and mutual superposition relations of different-level cause sand bodies of deep sea leaf deposits, and achieves effective characterization of the heterogeneity of deep sea leaf oil-gas reservoirs, thereby providing important geological basis and guidance for well position deployment, well pattern design, injection-production corresponding relation analysis, residual oil distribution prediction and the like of the oil-gas reservoirs.
Drawings
FIG. 1 is a block flow diagram of the present invention;
FIG. 2 is a graph of deep-sea leaf deposition and its well seismic response characteristics;
FIG. 3 is a diagram of a sandy waterway flowing over a deep-sea leaf deposit and its well-seismic response characteristics;
FIG. 4 is an interface level division diagram of a non-restrictive type deep sea leaf reservoir configuration;
FIG. 5 is a block diagram of a process flow for characterizing a leaf system level reservoir configuration;
FIG. 6 is a plan configuration anatomical view of a leaflet system;
FIG. 7 is a flow chart of a composite leaf series of hierarchical reservoir configuration characterization;
FIG. 8 is a sectional configuration of a composite leaf series;
FIG. 9 is a flow chart of a composite leaf-level reservoir configuration characterization;
FIG. 10 is a plan view of a compound leaf.
Detailed Description
The present invention will be further described with reference to the following examples and the accompanying drawings.
The invention discloses a deep sea trefoil reservoir configuration characterization method based on well-seismic mode fitting, which comprises the following steps of:
A. determining the type of the configuration elements and the well seismic response characteristics of the configuration elements: determining the configuration elements of the deep sea leaf sedimentary layer system based on the core-logging-earthquake calibration result, and determining the sedimentary characteristics, logging response characteristics and earthquake response characteristics of all the configuration elements according to data such as coring, logging, earthquake and the like;
as shown in fig. 2 and 3, three types of configuration elements, such as mat-shaped leaves, sandy water channels and muddy water channels, are determined according to the embodiment based on the core-logging-earthquake calibration result;
as shown in fig. 2, the mat-shaped leaves are distributed continuously in the transverse direction, the bottom of the mat-shaped leaves is developed into a block shape on the core, the bottom of the mat-shaped leaves is transported and deposited, the whole body is mainly made of block-shaped middle sandstone, thin-layer mudstone is sandwiched, the bottom of the mat-shaped leaves is in a typical box shape on a logging curve, the seismic section is in a mat shape, and medium-strong amplitude continuous reflection is realized;
as shown in fig. 3, the sandy water channel develops on the mat-shaped leaf sediment and on the core, wherein the lower part is mainly deposited by massive fine sandstones, sanded and thin interbedded sand and mud, and the upper part is mainly deposited by thin interbedded sand and mud, belonging to density flow sedimentation, the logging curve is combined in an inverse-positive rhythm manner, the whole is bell-shaped, the seismic section is U-shaped, and the medium-strong amplitude wave-shaped reflection is realized;
B. dividing a deep sea multi-leaf configuration interface system: sequentially recognizing the configuration interface level of deep-sea leaf oil reservoir exploration and development scale from large to small based on configuration elements, well logging response characteristics and seismic response characteristics, comprehensively considering well seismic data abundance and quality, determining underground characterization feasibility of leaf system level, compound leaf series level and compound leaf level under well seismic combination conditions, and respectively analyzing the configuration interface characteristics of leaf system level, compound leaf series level configuration interface characteristics and compound leaf level configuration interface characteristics;
as shown in fig. 4, according to the configuration elements and well seismic characteristics of the embodiment, from the perspective of practical application of exploration and development of an underground oil and gas reservoir, five-level configuration interface levels are divided, and from large to small, a leaf system, a composite leaf series, a composite leaf, a single leaf and a rock facies sequence are sequentially formed, wherein the leaf system belongs to an exploration scale, and the rest belong to a development scale;
according to the abundance and the quality of well seismic data, well seismic response characteristics of each level of sub-configuration units are integrated, the 5-level multi-leaf system can be continuously tracked on the same phase axis on a seismic profile, the upper sequence convolution characteristics of a logging curve are obvious, and reservoir space characterization is easy; the 4-level compound leaf series and the 3-level compound leaves are obvious in characteristic on a well logging curve and also have obvious response characteristics on a seismic section, and particularly the seismic amplitude at a boundary can be changed, so that the configuration space characterization feasibility is achieved; 2-level single leaves can be identified and divided by logging data, but the response characteristics are not obvious in earthquake, so that although the single leaves can be identified and divided vertically in a single well with large well distance, the spatial distribution of the inter-well configuration is difficult to accurately depict; the 1-level rock phase sequence can be only identified and divided from the rock core and is limited by the insufficient number of core wells, and the reservoir configuration space representation is difficult to realize at the level;
C. reservoir configuration characterization of the cotyledon system level: as shown in fig. 5, based on analysis of the interface features of the multi-leaf system level configuration, the deep-sea multi-leaf deposition characteristics are integrated, the vertical stacking patterns among different multi-leaf systems are recognized, and the well-seismic calibration result is integrated to identify and explain the multi-leaf system level seismic horizon so as to realize the vertical stage of the multi-leaf system; on the basis, combining the earthquake response characteristics of the configuration elements, taking the profile configuration mode of the leaf system as guidance, developing the profile configuration dissection of the leaf system, and determining the mutual overlapping relation between the configuration elements in the leaf system; on the basis, carrying out well-seismic attribute quantitative analysis of well-seismic union, preferably selecting and extracting plane seismic attributes, further carrying out well-seismic-mode fitting of a leaf system by using a plane-section multi-dimensional interaction method under the guidance of a leaf system deposition mode, realizing lateral demarcation of the leaf system and internal configuration elements thereof, obtaining the form, scale and plane combination relation of each configuration element, and finishing reservoir configuration characterization of the leaf system;
as a result of the planar anatomical configuration shown in fig. 6, the leaf system is generally fan-shaped, belonging to a fan-shaped deep-water submarine fan in an unlimited geomorphic environment; the main body develops mat-shaped leaves, the width can reach 14km, the longitudinal extension distance is more than 22km, a water supply channel is arranged at the root part, the leaves are divided into a plurality of units by the water channel, and the two sides of the water channel locally develop dike-mouth fans; the water channels are in a strip shape, but the difference of flow path forms is large, some water channels are distributed in a high-bending degree mode, some water channels are in a straight mode, and the width is generally less than 1 km; in the same water channel, the upstream section is generally filled with mud, and the downstream section is filled with sand; the tail end of each water channel belongs to a post-production cause, and fan-shaped leaves are developed, and the width of each water channel is more than 3 km;
D. reservoir configuration characterization of the composite leaf series in the following order: as shown in fig. 7, the result of the composite leaf series level configuration interface feature is taken as a constraint, a cut source direction well seismic combination section is selected, a composite leaf series section vertical superposition mode is recognized, and two situations of a limited landform environment and a non-limited landform environment are distinguished, so that whether the identification and fine tracking explanation of the composite leaf series level seismic horizon is carried out or not is determined, namely the vertical stage of the composite leaf series is determined; if the composite leaf series is in a vertical superposition mode, carrying out identification and fine tracking explanation on the seismic horizon of the composite leaf series level, and if the composite leaf series is in a lateral splicing mode, not carrying out the identification and fine tracking explanation;
determining the lateral boundary well and the seismic identification characteristics of the composite leaf series on the section on the basis of the vertical stage, and carrying out the section configuration dissection of the composite leaf series by taking the lateral boundary well and the seismic identification characteristics as guidance to determine the number, the thickness and the mutual overlapping relation of the composite leaf series; taking a section as a constraint, preferably extracting a plane seismic attribute capable of reflecting the boundary distribution of the composite leaf series, determining the geological recognition characteristics of the lateral boundary of the composite leaf series on a plane, performing plane fitting on a well-seismic-mode by using a plane-section multi-dimensional interaction method under the guidance of a plane configuration mode of the composite leaf series, realizing the lateral demarcation of the composite leaf series, and obtaining the plane flow path, the form, the width and the mutual superposition relationship of the form and the width of the composite leaf series to finish the reservoir configuration characterization of the composite leaf series;
as a result of the plane configuration dissection shown in fig. 8, the internal structure of the reservoir is complex and mainly formed by stacking six composite leaf body series planes (LCS1-LCS6), wherein LCS1 and LCS2 are elongated, the water channeling characteristics are obvious, the width is about 4km at most, the length can reach 20km, LCS3-LCS5 are fan-shaped, the leaf-shaped characteristics are obvious, the width can reach 6km, the longitudinal length of the fan body can reach 8km, LCS6 is a typical water channel-leaf composite body series, the whole body is a strip-shaped water channel, and the tail end of the strip-shaped water channel is connected with a small leaf; each compound leaf series is mainly from two supply points (shown by arrows) in the northwest direction, wherein LCS2 is a source supply point, and the other compound leaf series is a source supply point; the planes of all the composite leaf series are mutually cut and overlapped, wherein LCS2 erodes LCS1 and divides the composite leaf series into east and west parts, a water channel of LCS6 cuts through LCS3-LCS5 on the plane, and a muddy filling water channel section obviously divides LCS3 and LCS4 into two development units;
E. reservoir configuration characterization of composite leaf level: as shown in fig. 9, with the result of the composite leaf level configuration interface feature as a constraint, selecting a well-seismic combination section cut in the flow direction of the composite leaf series, recognizing a vertical stacking mode of the composite leaf section, and determining whether to perform identification and fine interpretation of the composite leaf level seismic horizon, namely, vertical staging of the composite leaf; if the composite leaves are in a vertical superposition mode, carrying out identification and fine tracking explanation on the seismic horizon of the composite leaf level, and if the composite leaves are in a lateral splicing mode, not carrying out identification and fine tracking explanation;
determining the lateral boundary well and the seismic identification characteristics of the composite leaves on the section on the basis of the vertical stage, developing the section configuration dissection of the composite leaves by taking the lateral boundary well and the seismic identification characteristics as guidance, and determining the number, the thickness and the mutual overlapping relation of the composite leaves in each stage series; taking a section as a constraint, preferably extracting plane seismic attributes capable of reflecting the distribution of the composite leaf boundary, determining the geological recognition characteristics of the lateral boundary of the composite leaf on a plane, further performing plane fitting on a well-seismic-mode under the guidance of a composite leaf plane configuration mode, primarily determining the plane lateral boundary of the composite leaf, and reasonably obtaining the plane flow path, the form and the width of the composite leaf and the mutual superposition and communication relation of the plane flow path, the form and the width through the correction of production dynamics, four-dimensional seismic and other data to realize the reservoir configuration characterization of the composite leaf level;
as a result of the planar anatomical structure shown in FIG. 10, LCS1-LCS3 are each composed of two complex Leaves (LC), and LCS4-LCS5 are each composed of four complex leaves; each composite leaf is in an elongated shape, the width is generally less than 2km, the extension length difference is large, the lengths of LC1-1, LC1-2, LC2-1 and LC2-2 can reach 20km, and the lengths of the other composite leaves are generally between 4km and 6 km; the composite leaves are laterally cut and overlapped with each other, the edges of the composite leaves are mainly deposited by argillaceous fine particles, so the composite leaves generally have weak communication or non-communication characteristics, and the composite leaves spanning the series generally have non-communication characteristics, which is also proved on the production dynamic and four-dimensional seismic data; according to the composite leaf characterization result, the development units of the oil reservoir can be further subdivided, for example, LCS3 and LCS4 on the basis of two development units divided by the composite leaf series, LCS3 can be subdivided into 3 development units, and LCS4 can be subdivided into 7 development units, so that scientific and reasonable geological basis is provided for the subsequent efficient development and the enhanced recovery ratio of the oil reservoir.
Although the present invention has been described with reference to the above embodiments, it should be understood that the present invention is not limited to the above embodiments, and those skilled in the art can make various changes and modifications without departing from the scope of the present invention.
Claims (8)
1. A deep sea multi-leaf reservoir configuration characterization method based on well-seismic mode fitting is characterized by comprising the following steps of:
step S10, determining the type of the configuration elements and the well earthquake response characteristics thereof: determining the configuration elements of the deep sea leaf sedimentary layer system based on the core-logging-earthquake calibration result, and determining the sedimentary characteristics, logging response characteristics and earthquake response characteristics of all the configuration elements;
step S20, dividing the deep sea multi-leaf configuration interface system: based on the configuration elements, the well logging response characteristics and the seismic response characteristics in the step S10, sequentially recognizing the configuration interface level of deep sea leaf oil reservoir exploration and development scale from large to small, determining the underground characterization feasibility of the leaf system level, the composite leaf series level and the composite leaf level under the well-seismic combination condition, and respectively analyzing the leaf system level configuration interface characteristics, the composite leaf series level configuration interface characteristics and the composite leaf level configuration interface characteristics;
step S30, reservoir configuration characterization of the leaf system level: based on analysis of the interface characteristics of the leaf system level configuration, carrying out identification and explanation of the leaf system level seismic horizon, carrying out section configuration dissection on the leaf system, and determining the mutual overlapping relation between configuration elements in the leaf system; realizing lateral demarcation of the leaf system and the internal configuration elements thereof, and acquiring the form, scale and plane combination relation of each internal configuration element;
step S40, reservoir configuration characterization of the composite leaf series grade: determining whether to carry out identification and fine tracking explanation of the seismic horizon of the composite leaf series level by taking the result of the reservoir configuration characterization of the leaf system level as a constraint; then carrying out the dissection of the section configuration of the compound leaf series, and determining the number, the thickness and the mutual overlapping relation of the compound leaf series; realizing the lateral demarcation of the compound leaf series, and acquiring the plane flow path, the shape, the width and the mutual overlapping relation of the compound leaf series;
step S50, reservoir configuration characterization of the composite leaf level: determining whether to identify and finely explain the composite leaf-level seismic horizon by taking the result of the reservoir configuration characterization of the composite leaf series level as a constraint; then carrying out section configuration dissection on the composite leaves, and determining the number, thickness and mutual overlapping relation of the composite leaves in each stage series; and (3) performing plane fitting on the well-seismic-mode by taking the section as constraint, and correcting the production dynamic and four-dimensional seismic data to obtain the plane flow path, the form and the width of the composite leaves and the mutual overlapping and communicating relation of the composite leaves.
2. The method for characterizing deep-sea multi-leaf reservoir configurations based on well-seismic pattern fitting as claimed in claim 1, wherein the sedimentary features, log response features and seismic response features of each configuration element in the step S10 are defined according to coring data, log data and seismic data.
3. The method for characterizing deep-sea leaflet reservoir configuration based on well-seismic pattern fitting as claimed in claim 2, wherein the underground characterization feasibility of the leaflet system level, the composite leaflet series level and the composite leaflet level under the well-seismic union condition in the step S20 is determined according to the abundance and quality of well-log data and seismic data.
4. The method for characterizing deep-sea leaflet reservoir configuration based on well-seismic mode fitting according to claim 1, wherein the lateral delimitation of the leaflet system and its internal configuration elements in the step S30 is realized by performing well-seismic attribute quantitative analysis of well-seismic union, preferably extracting planar seismic attributes, and further performing well-seismic-mode fitting of the leaflet system by using a plane-section multi-dimensional interaction method under the guidance of the leaflet system deposition mode.
5. The method as claimed in claim 1, wherein the identification and the fine trace interpretation of the composite leaf series level seismic horizon in step S40 are determined by selecting a source-cut direction well-seismic combined profile, recognizing a composite leaf series profile vertical superposition mode, and identifying a limited geomorphic environment and an unlimited geomorphic environment according to the result of reservoir configuration characterization of the leaf series level as a constraint.
6. The method for characterizing deep-sea leaflet reservoir configuration based on well-seismic pattern fitting according to claim 5, wherein the lateral delimitation of the composite leaflet series in the step S40 is implemented by using a section as a constraint, preferably extracting a plane seismic attribute capable of reflecting the distribution of the boundary of the composite leaflet series, determining the geological identification characteristics of the lateral boundary of the composite leaflet series on a plane, and further performing plane fitting on the well-seismic pattern by using a plane-section multi-dimensional interaction method under the guidance of the plane configuration pattern of the composite leaflet series.
7. The method for characterizing deep-sea leaflet reservoir configurations based on well-seismic mode fitting as claimed in claim 1, wherein whether to perform the identification and the fine interpretation of the composite leaflet level seismic horizons in step S50 is implemented by selecting well-seismic combined sections cut in the flow direction of the composite leaflet series and recognizing a composite leaflet section vertical stacking mode by taking the result of the composite leaflet series level reservoir configuration characterization as a constraint.
8. The method for characterizing deep-sea leaflet reservoir configuration based on well-seismic pattern fitting as claimed in claim 7, wherein the composite leaflet plane flow path, shape, width and their mutual overlapping and communicating relation in step S50 are obtained by using the profile as constraint, preferably extracting plane seismic attributes capable of reflecting the distribution of composite leaflet boundaries, determining the geological identification characteristics of the lateral boundaries of the composite leaflets on the plane, further performing plane fitting on the well-seismic pattern under the guidance of the composite leaflet plane configuration pattern, primarily determining the plane lateral boundaries of the composite leaflets, and obtaining the results by correcting production dynamics and four-dimensional seismic data.
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| CN112946782B (en) * | 2021-03-15 | 2022-03-25 | 西南石油大学 | Earthquake fine depicting method for dense oil-gas storage seepage body |
| CN114635681A (en) * | 2022-03-22 | 2022-06-17 | 成都理工大学 | Construction method for sand body structure of front edge of thick-layer braided river delta with high sand-land ratio |
| CN114635681B (en) * | 2022-03-22 | 2022-12-06 | 成都理工大学 | Construction method for sand body structure of front edge of thick-layer braided river delta with high sand-land ratio |
| CN114970113A (en) * | 2022-04-30 | 2022-08-30 | 长江大学 | Lithology model construction method and system based on distance attribute of leaf body |
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