CN112965108A - Method and system for determining vertical sealing performance of trap cover layer - Google Patents
Method and system for determining vertical sealing performance of trap cover layer Download PDFInfo
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Abstract
The invention provides a method and a system for determining vertical closure of a closed ring cover layer. The method for determining the vertical sealing performance of the trap cover layer comprises the following steps: acquiring a post-stack seismic data body, mudstone cover layer parameters and a horizon of a target layer section; dividing the target layer interval into a plurality of types of mudstone cover layers according to the mudstone cover layer parameters; establishing a low-frequency interpolation model according to the reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers; generating mudstone cover layer thickness data of the target layer section according to the low-frequency interpolation model, the post-stack seismic data body and the cut-off values corresponding to various mudstone cover layers; and determining the vertical closure of the trap cover layer according to the thickness data of the mudstone cover layer. The method can accurately determine the vertical sealing property of the trap cover layer, thereby guiding exploration deployment and improving the success rate of exploratory well.
Description
Technical Field
The invention relates to the technical field of reservoir geology, in particular to a method and a system for determining vertical closure of a confining cover layer.
Background
The cover layer is a protective layer which is positioned above the reservoir layer and can seal the reservoir layer to prevent oil and gas in the reservoir layer from upwards escaping, the vertical sealing property of the cover layer is used for determining the vertical sealing cover capacity of the enclosed cover layer, and the cover layer is directly related to whether the cover layer can seal the oil and gas to prevent the oil and gas from upwards moving and escaping. The accurate prediction of the vertical closure of the trap cover layer has important influence on the accumulation analysis and the overall evaluation of the target trap. For the drilling trap, the vertical closure of the target trap cover layer is accurately predicted before drilling, so that the drilling success rate of the exploratory well is greatly improved.
At present, vertical closure of a trap cover layer is mainly developed aiming at a deposition environment, the thickness of a shale monolayer and fault closure, main parameters influencing the vertical closure of the trap cover layer comprise porosity, permeability, shale content, cover layer thickness, displacement pressure and the like, wherein the cover layer shale cover layer thickness is one of key parameters for evaluating the vertical closure of the trap cover layer, exploration practices prove that the shale cover layer is not a pure shale cover, the cover layer is often thick-layer shale sandwiched by thin-layer sandstone in the vertical direction or interbedded sandstone, lithological inversion is carried out only on a trapped storage cover combination, lithological characteristics of the trap cover layer are finely carved, the shale cover layer above a reservoir layer is comprehensively evaluated, and the influence of sandstone in the shale cover layer is eliminated, so that the overall closure of the cover layer can be accurately evaluated. However, the conventional technical scheme cannot accurately determine the vertical closure of the trap cover layer, so that the success rate of drilling the structural trap during exploration and deployment is not high.
Disclosure of Invention
The embodiment of the invention mainly aims to provide a method and a system for determining the vertical closure of a trap cover layer, so as to accurately determine the vertical closure of the trap cover layer, thereby guiding exploration deployment and improving the success rate of exploratory well.
In order to achieve the above object, an embodiment of the present invention provides a method for determining vertical sealing of a trapping layer, including:
acquiring a post-stack seismic data body, mudstone cover layer parameters and a horizon of a target layer section;
dividing the target layer interval into a plurality of types of mudstone cover layers according to the mudstone cover layer parameters;
establishing a low-frequency interpolation model according to the reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers;
generating mudstone cover layer thickness data of the target layer section according to the low-frequency interpolation model, the post-stack seismic data body and the cut-off values corresponding to various mudstone cover layers;
and determining the vertical closure of the trap cover layer according to the thickness data of the mudstone cover layer.
An embodiment of the present invention further provides a system for determining vertical sealing of a cap layer, including:
the acquisition unit is used for acquiring the post-stack seismic data body, mudstone cover layer parameters and the horizon of the target layer section;
the dividing unit is used for dividing the target layer section into a plurality of types of mudstone cover layers according to the mudstone cover layer parameters;
the low-frequency interpolation model creating unit is used for creating a low-frequency interpolation model according to the reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers;
the mudstone cover layer thickness unit is used for generating mudstone cover layer thickness data of a target layer section according to the low-frequency interpolation model, the post-stack seismic data body and cut-off values corresponding to various mudstone cover layers;
and the vertical sealing unit is used for determining the vertical sealing of the trap cover layer according to the mud rock cover layer thickness data.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and runs on the processor, wherein the processor realizes the steps of the method for determining the vertical closure of the trap cover layer when executing the computer program.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the method for determining the vertical closure of the trap cover layer.
According to the method and the system for determining the vertical closure of the trap cover layer, provided by the embodiment of the invention, the target layer section is divided into a plurality of types, then the low-frequency interpolation model is established according to the layer position and the reservoir inversion sensitive parameter curves corresponding to the types, then the mudstone cover layer thickness data of the target layer section is generated according to the low-frequency interpolation model, the post-stack seismic data body and the truncation values corresponding to the types, and finally the vertical closure of the trap cover layer is accurately determined according to the mudstone cover layer thickness data, so that exploration deployment is guided, and the success rate of well exploration is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a flow chart of a method for determining vertical closure of a trap cap layer in an embodiment of the present invention;
FIG. 2 is a flow chart of a method for determining vertical closure of a trap cap layer in accordance with another embodiment of the present invention;
FIG. 3 is a flowchart of S102 in an embodiment of the present invention;
fig. 4 is a flowchart of S103 in the embodiment of the present invention;
FIG. 5 is a flowchart of S104 in the embodiment of the present invention;
FIG. 6 is a preferred graph of reservoir inversion sensitivity parameters in an embodiment of the invention;
FIG. 7 is a schematic illustration of a standard plate of mudstone cap rock in an embodiment of the invention;
FIG. 8 is a schematic diagram of a reservoir inversion sensitivity parameter curve for a class I mudstone cap rock in an embodiment of the invention;
FIG. 9 is a schematic representation of a reservoir inversion sensitivity parameter curve for a class II mudstone cap in an embodiment of the invention;
FIG. 10 is a schematic representation of a reservoir inversion sensitivity parameter curve for a class III mudstone cap rock in an embodiment of the invention;
FIG. 11 is a schematic diagram of a low-frequency interpolation model of a class I mudstone cover in an embodiment of the invention;
FIG. 12 is a cross-sectional view of a post-stack inverted lithology data volume for a type I mudstone cap rock in an embodiment of the invention;
FIG. 13 is a schematic illustration of a mudstone cap thickness profile of a class I mudstone cap in an embodiment of the invention;
FIG. 14 is a schematic illustration of the vertical effective mudstone cap thickness for a target interval in an embodiment of the invention;
FIG. 15 is a block diagram of a system for determining vertical closure of a containment layer in accordance with an embodiment of the present invention;
fig. 16 is a block diagram showing the structure of a computer device in the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
In view of the fact that the vertical sealing performance of the trap cover layer cannot be accurately determined by the conventional technical scheme at present, and the drilling success rate of the structural trap during exploration deployment is not high, the embodiment of the invention provides a method for determining the vertical sealing performance of the trap cover layer, so that the vertical sealing performance of the trap cover layer is accurately determined, quantitative evaluation is carried out on the effectiveness of a seal cover of the trap, then the trap with good trap sealing performance is selected during exploration deployment for drilling, and the well exploration success rate is improved. The present invention will be described in detail below with reference to the accompanying drawings.
FIG. 1 is a flow chart of a method for determining vertical closure of a trap cap layer in an embodiment of the present invention. FIG. 2 is a flow chart of a method for determining vertical closure of a trap cap layer in accordance with another embodiment of the present invention. As shown in fig. 1-2, the method for determining the vertical closure of the trap cap layer includes:
s101: and acquiring the post-stack seismic data body, mudstone cover layer parameters and the horizon of the target layer section.
The well data in fig. 2 includes layered data and well logging data, and the layer of the target interval can be obtained by calibrating and finely constructing and interpreting layered data.
The well log data includes sonic, gamma and density curves. FIG. 6 is a preferred graph of reservoir inversion sensitivity parameters in an embodiment of the invention. As shown in FIG. 6, the abscissa in FIG. 6 is gamma, in API; the ordinate is the percentage in%. And performing histogram analysis and cross plot analysis on the logging data of the target interval in the research area, wherein as can be seen from fig. 6, the target interval with the gamma value larger than 63 is mudstone, and the target interval with the gamma value smaller than or equal to 63 is sandstone, so that the mudstone and the sandstone can be distinguished through a gamma curve, and the gamma curve is a reservoir inversion sensitive parameter curve.
S102: and dividing the target layer interval into a plurality of types of mudstone cover layers according to the mudstone cover layer parameters.
Fig. 3 is a flowchart of S102 in the embodiment of the present invention. As shown in fig. 3, S102 includes:
s201: and establishing a mudstone cover standard chart according to the mudstone cover parameters.
In one embodiment, a standard plate of a mudstone cover layer of each target interval can be established according to the stratum characteristics of different intervals.
FIG. 7 is a schematic diagram of a standard plate of mudstone cap rock in an embodiment of the invention. As shown in FIG. 7, the abscissa of FIG. 7 represents the specific surface area in m2·g-1(ii) a The ordinate is the breakthrough pressure in Mpa. In specific implementation, mudstone cover layer parameters (including breakthrough pressure, specific surface area and permeability) of a target interval sampling point can be projected into a coordinate system, then the sampling point is divided into three types according to the permeability (the type I is a sampling point with the permeability being less than 300md, the type II is a sampling point with the permeability being more than or equal to 300md and less than or equal to 600md, and the type III is a sampling point with the permeability being more than 600 md), and finally the mudstone cover layer parameters are generatedAnd dividing the three types of sampling points into three areas of dividing curves to establish a mudstone cover layer standard chart. As shown in fig. 7, the porosity of the sampling points located on the two division curves is 10% and 20%, respectively.
S202: and dividing the target layer interval into a plurality of types of mudstone cover layers according to the standard chart of the mudstone cover layers.
In specific implementation, the mudstone cover can be divided into I type, II type and III type according to the standard chart of the mudstone cover. The effective mudstone cover layer thickness lower limit of the various mudstone cover layers can be determined by counting the thickness of the mudstone cover layers in the various mudstone cover layers, and the effective mudstone cover layer thickness lower limit of the cover layers corresponding to the various mudstone cover layers is used as the cut-off value corresponding to the various mudstone cover layers. For example, the lower limit of the effective mudstone cap layer thickness (cutoff value) of the class i mudstone cap layer is 5m, the lower limit of the effective mudstone cap layer thickness (cutoff value) of the class ii mudstone cap layer is 10m, and the lower limit of the effective mudstone cap layer thickness (cutoff value) of the class iii mudstone cap layer is 20 m.
S103: and establishing a low-frequency interpolation model according to the reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers.
Fig. 4 is a flowchart of S103 in the embodiment of the present invention. As shown in fig. 4, S103 includes:
s301: and coarsening the corresponding reservoir inversion sensitive parameter curve according to the truncation value.
FIG. 8 is a schematic diagram of a reservoir inversion sensitivity parameter curve of a class I mudstone cover in an embodiment of the invention. FIG. 9 is a schematic diagram of a reservoir inversion sensitivity parameter curve for a class II mudstone cap in an embodiment of the invention. FIG. 10 is a schematic diagram of a reservoir inversion sensitivity parameter curve of a class III mudstone cap rock according to an embodiment of the invention. As shown in fig. 8-10, the target interval is divided into J-i, J-ii and J-iii according to the depth of the formation, the reservoir inversion sensitivity parameter curve is gamma curve GR, the abscissa is Gamma (GR) and the unit is API, the ordinate is depth and the unit is m.
The higher the truncation value corresponding to the mudstone cover layer type is, the lower the sampling rate of the coarsened gamma curve is. As shown in fig. 8-10, the cutoff value of the class i mudstone cover is 5m, and the sampling rate of the gamma curve after coarsening in fig. 8 is 2 m; the cutoff value of the class II mudstone cover layer is 10m, and the sampling rate of the coarsened gamma curve in the graph 8 is 1 m; the cutoff value of the class III mudstone cover layer is 20m, and the sampling rate of the coarsened gamma curve in the graph 8 is 0.5 m.
S302: and establishing a low-frequency interpolation model according to the coarsened reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers.
FIG. 11 is a schematic diagram of a low-frequency interpolation model of a class I mudstone cover layer in an embodiment of the invention. As shown in fig. 11, the abscissa of fig. 11 is distance in km; the ordinate is depth in m. RL-1, RC-2, RC-1, RN-2, RN-3A and RN-1 are well logs of drilling and encountering type I mudstone cover layers.
In specific implementation, taking class I mudstone cover as an example, the horizon can be loaded into inversion software to create a simple structural model of a target layer interval, the stratum contact relation is equal division, and a low-frequency interpolation model is created by adopting a local weighted interpolation method under the constraint of a coarsened reservoir inversion sensitive parameter curve corresponding to the class I mudstone cover.
S104: and generating mudstone cover layer thickness data of the target layer section according to the low-frequency interpolation model, the post-stack seismic data body and the cut-off values corresponding to various mudstone cover layers.
Fig. 5 is a flowchart of S104 in the embodiment of the present invention. As shown in fig. 5, S104 includes:
s401: and generating a post-stack inversion lithology data body according to the low-frequency interpolation model and the post-stack seismic data body.
FIG. 12 is a cross-sectional view of a post-stack inverted lithology data volume for a type I mudstone cap in an embodiment of the invention. As shown in fig. 12, the abscissa of fig. 12 is distance in km; the ordinate is depth in m.
For example, effective sample numbers, high-frequency ranges and target sampling rates can be set through a lithology inversion software system on the basis of analysis of well data in a research area, a post-stack inversion lithology data body and a low-frequency interpolation model, and mud content inversion can be performed on a class I mudstone cover, a class II mudstone cover and a class III mudstone cover to generate the post-stack inversion lithology data body.
S402: and generating the thickness data of the mudstone cover layer of the target layer section according to the corresponding cutoff values of various mudstone cover layers and the inverted lithology data body after stacking.
FIG. 13 is a schematic illustration of a mudstone cap thickness profile of a class I mudstone cap in an embodiment of the invention. As shown in fig. 13, the abscissa of fig. 13 is distance in km; the ordinate is depth in m.
In specific implementation, a cutoff value can be set on the inversion software, and the thickness data of the coarsened mudstone cover layer on the vertical direction of the post-stack inversion lithology data body of the I type mudstone cover layer, the II type mudstone cover layer and the III type mudstone cover layer are respectively obtained.
S105: and determining the vertical closure of the trap cover layer according to the thickness data of the mudstone cover layer.
Figure 14 is a schematic illustration of the vertical effective mudstone cap thickness for a target interval in an embodiment of the invention. As shown in fig. 14, the abscissa of fig. 14 is distance in km; the ordinate is distance in km. In FIG. 14, there are multiple logs (e.g., S-1, RNW-1, RNN-1, RL-1, RC-2, RC-1, RN-2, RN-3A, RNNE-1, RN-1, RNE-1, TE-1, and R-1A) drilled in various mudstone cover layers, where the first sequence number at L in FIG. 14 represents the master log number and the first sequence number at T represents the track number. Mudstone cap thickness data (vertical effective mudstone cap thickness) for the target interval can be obtained from figure 14.
In specific implementation, the thickness data of the class I mudstone cover layer, the class II mudstone cover layer and the class III mudstone cover layer in the target layer section of the research area can be respectively counted to obtain a schematic diagram of the vertical effective mudstone cover layer thickness of the target layer section of the research area. According to the schematic diagram of the thickness of the vertical effective mudstone cover layer in the target interval or the overlying interval of the target interval, the vertical sealing performance of the mudstone cover layer to be drilled can be determined, and the closure with good vertical sealing performance of the cover layer is preferably selected as a drilling deployment target under the condition of the same other conditions, so that the exploration deployment is guided, and the success rate of well exploration is improved.
The main body for executing the method for determining the vertical closure of the trap cover layer shown in fig. 1 can be a computer. As can be seen from the flow shown in fig. 1, the method for determining the vertical sealing of the trap cover layer according to the embodiment of the present invention divides the target layer into a plurality of types, creates a low-frequency interpolation model according to the layer position and the reservoir inversion sensitive parameter curve corresponding to each type, generates mudstone cover layer thickness data of the target layer according to the low-frequency interpolation model, the post-stack seismic data volume and the truncation value corresponding to each type, and accurately determines the vertical sealing of the trap cover layer according to the mudstone cover layer thickness data, so as to guide exploration deployment and improve the success rate of exploratory well.
The specific process of the embodiment of the invention is as follows:
1. and acquiring the post-stack seismic data body, mudstone cover layer parameters and layered data of the target layer section.
2. And calibrating and finely constructing and explaining the layered data to obtain the layer position of the target layer section.
3. And establishing a mudstone cover standard chart according to the mudstone cover parameters.
4. And dividing the target layer interval into a plurality of types of mudstone cover layers according to the standard chart of the mudstone cover layers.
5. And coarsening the corresponding reservoir inversion sensitive parameter curve according to the truncation value.
6. And establishing a low-frequency interpolation model according to the coarsened reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers.
7. And generating a post-stack inversion lithology data body according to the low-frequency interpolation model and the post-stack seismic data body.
8. And generating the thickness data of the mudstone cover layer of the target layer section according to the corresponding cutoff values of various mudstone cover layers and the inverted lithology data body after stacking.
9. And determining the vertical closure of the trap cover layer according to the thickness data of the mudstone cover layer.
In summary, according to the method for determining vertical closure of trap shale cover layers, the standard chart of the shale cover layers of the target layer section is obtained through statistics, the inversion sensitive parameters of the reservoir are coarsened according to different scales, the coarsened lithological inversion data body is further obtained, the vertical closure of the trap shale cover layers can be accurately determined, the trap with good cover layer vertical closure is preferably selected for drilling under the condition of equal other conditions during exploration and deployment, and the drilling success rate is improved.
Based on the same inventive concept, the embodiment of the invention also provides a system for determining the vertical closure of the trap cap layer, and as the principle of solving the problems of the system is similar to the method for determining the vertical closure of the trap cap layer, the implementation of the system can refer to the implementation of the method, and repeated parts are not described again.
FIG. 15 is a block diagram of a system for determining vertical closure of a trapped closure layer in accordance with an embodiment of the present invention. As shown in fig. 15, the trap cap layer vertical closure determination system includes:
the acquisition unit is used for acquiring the post-stack seismic data body, mudstone cover layer parameters and the horizon of the target layer section;
the dividing unit is used for dividing the target layer section into a plurality of types of mudstone cover layers according to the mudstone cover layer parameters;
the low-frequency interpolation model creating unit is used for creating a low-frequency interpolation model according to the reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers;
the mudstone cover layer thickness unit is used for generating mudstone cover layer thickness data of a target layer section according to the low-frequency interpolation model, the post-stack seismic data body and cut-off values corresponding to various mudstone cover layers;
and the vertical sealing unit is used for determining the vertical sealing of the trap cover layer according to the mud rock cover layer thickness data.
In one embodiment, the mudstone overlay thickness unit is specifically configured to:
generating a post-stack inversion lithology data body according to the low-frequency interpolation model and the post-stack seismic data body;
and generating the thickness data of the mudstone cover layer of the target layer section according to the corresponding cutoff values of various mudstone cover layers and the inverted lithology data body after stacking.
In one embodiment, the dividing unit is specifically configured to:
establishing a mudstone cover layer standard chart according to the mudstone cover layer parameters;
and dividing the target layer interval into a plurality of types of mudstone cover layers according to the standard chart of the mudstone cover layers.
In one embodiment, the low-frequency interpolation model creating unit is specifically configured to:
coarsening the corresponding reservoir inversion sensitive parameter curve according to the truncation value;
and establishing a low-frequency interpolation model according to the coarsened reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers.
To sum up, the system for determining the vertical closure of the trap cover layer divides a target layer section into a plurality of types, creates a low-frequency interpolation model according to the layer position and the reservoir inversion sensitive parameter curves corresponding to the types, generates mudstone cover layer thickness data of the target layer section according to the low-frequency interpolation model, the post-stack seismic data volume and the truncation values corresponding to the types, and accurately determines the vertical closure of the trap cover layer according to the mudstone cover layer thickness data, so that exploration deployment is guided, and the success rate of exploratory well is improved.
The embodiment of the invention also provides a specific implementation mode of computer equipment, which can realize all the steps in the method for determining the vertical closure of the trap cover layer in the embodiment. Fig. 16 is a block diagram of a computer device in an embodiment of the present invention, and referring to fig. 16, the computer device specifically includes the following contents:
a processor (processor)1601 and a memory (memory) 1602.
The processor 1601 is configured to call a computer program in the memory 1602, and the processor executes the computer program to implement all the steps of the method for determining vertical closure of a trap layer in the above embodiments, for example, the processor executes the computer program to implement the following steps:
acquiring a post-stack seismic data body, mudstone cover layer parameters and a horizon of a target layer section;
dividing the target layer interval into a plurality of types of mudstone cover layers according to the mudstone cover layer parameters;
establishing a low-frequency interpolation model according to the reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers;
generating mudstone cover layer thickness data of the target layer section according to the low-frequency interpolation model, the post-stack seismic data body and the cut-off values corresponding to various mudstone cover layers;
and determining the vertical closure of the trap cover layer according to the thickness data of the mudstone cover layer.
To sum up, the computer device of the embodiment of the invention divides a target layer section into a plurality of types, then creates a low-frequency interpolation model according to the layer position and the reservoir inversion sensitive parameter curve corresponding to each type, then generates mudstone cover layer thickness data of the target layer section according to the low-frequency interpolation model, the post-stack seismic data volume and the truncation value corresponding to each type, and finally accurately determines the vertical closure of the trap cover layer according to the mudstone cover layer thickness data, thereby guiding exploration deployment and improving the success rate of well exploration.
An embodiment of the present invention further provides a computer-readable storage medium capable of implementing all the steps in the method for determining vertical closure of a trapping layer in the foregoing embodiment, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program implements all the steps of the method for determining vertical closure of a trapping layer in the foregoing embodiment, for example, when the processor executes the computer program, the processor implements the following steps:
acquiring a post-stack seismic data body, mudstone cover layer parameters and a horizon of a target layer section;
dividing the target layer interval into a plurality of types of mudstone cover layers according to the mudstone cover layer parameters;
establishing a low-frequency interpolation model according to the reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers;
generating mudstone cover layer thickness data of the target layer section according to the low-frequency interpolation model, the post-stack seismic data body and the cut-off values corresponding to various mudstone cover layers;
and determining the vertical closure of the trap cover layer according to the thickness data of the mudstone cover layer.
To sum up, the computer-readable storage medium of the embodiment of the invention divides the target interval into a plurality of types, then creates a low-frequency interpolation model according to the horizon and the reservoir inversion sensitive parameter curve corresponding to each type, then generates mudstone cover layer thickness data of the target interval according to the low-frequency interpolation model, the post-stack seismic data volume and the truncation value corresponding to each type, and finally accurately determines the vertical closure of the trap cover layer according to the mudstone cover layer thickness data, thereby guiding exploration deployment and improving the success rate of well exploration.
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 only 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.
Those of skill in the art will further appreciate that the various illustrative logical blocks, units, and steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate the interchangeability of hardware and software, various illustrative components, elements, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design requirements of the overall system. 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 embodiments.
The various illustrative logical blocks, or elements, or devices described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be located in a user terminal. In the alternative, the processor and the storage medium may reside in different components in a user terminal.
In one or more exemplary designs, the functions described above in connection with the embodiments of the invention may be implemented in hardware, software, firmware, or any combination of the three. If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media that facilitate transfer of a computer program from one place to another. Storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, such computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store program code in the form of instructions or data structures and which can be read by a general-purpose or special-purpose computer, or a general-purpose or special-purpose processor. Additionally, any connection is properly termed a computer-readable medium, and, thus, is included if the software is transmitted from a website, server, or other remote source via a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wirelessly, e.g., infrared, radio, and microwave. Such discs (disk) and disks (disc) include compact disks, laser disks, optical disks, DVDs, floppy disks and blu-ray disks where disks usually reproduce data magnetically, while disks usually reproduce data optically with lasers. Combinations of the above may also be included in the computer-readable medium.
Claims (10)
1. A method for determining the vertical closure of a cap layer, comprising:
acquiring a post-stack seismic data body, mudstone cover layer parameters and a horizon of a target layer section;
dividing the target layer interval into a plurality of types of mudstone cover layers according to the mudstone cover layer parameters;
establishing a low-frequency interpolation model according to the reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers;
generating mudstone cover layer thickness data of the target layer section according to the low-frequency interpolation model, the post-stack seismic data body and cutoff values corresponding to various mudstone cover layers;
and determining the vertical closure of the trap cover layer according to the thickness data of the mudstone cover layer.
2. The method for determining vertical closure of a trap cap layer according to claim 1, wherein generating mudstone cap layer thickness data of a target layer section according to the low-frequency interpolation model, the post-stack seismic data volume and cutoff values corresponding to various types of mudstone cap layers comprises:
generating a post-stack inversion lithology data volume according to the low-frequency interpolation model and the post-stack seismic data volume;
and generating the thickness data of the mudstone cover layer of the target layer section according to the corresponding cutoff values of various mudstone cover layers and the post-stack inversion lithology data body.
3. The method of claim 2, wherein the dividing the target interval into a plurality of types of mudstone overburden according to the mudstone overburden parameters comprises:
establishing a mudstone cover layer standard chart according to the mudstone cover layer parameters;
and dividing the target layer interval into a plurality of types of mudstone cover layers according to the standard chart of the mudstone cover layers.
4. The method for determining vertical closure of a trap cap layer according to claim 1, wherein the step of creating a low-frequency interpolation model according to the horizon and the reservoir inversion sensitive parameter curves corresponding to various types of mudstone cap layers comprises the following steps:
coarsening a corresponding reservoir inversion sensitive parameter curve according to the cutoff value;
and establishing a low-frequency interpolation model according to the coarsened reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers.
5. A system for determining the vertical closure of a cap layer, comprising:
the acquisition unit is used for acquiring the post-stack seismic data body, mudstone cover layer parameters and the horizon of the target layer section;
the dividing unit is used for dividing the target layer section into a plurality of types of mudstone cover layers according to the mudstone cover layer parameters;
the low-frequency interpolation model creating unit is used for creating a low-frequency interpolation model according to the reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers;
the mudstone cover layer thickness unit is used for generating mudstone cover layer thickness data of a target layer section according to the low-frequency interpolation model, the post-stack seismic data body and cut-off values corresponding to various mudstone cover layers;
and the vertical sealing unit is used for determining the vertical sealing of the trap cover layer according to the mud rock cover layer thickness data.
6. A trap cap vertical closure determination system as claimed in claim 5, wherein said mudstone cap thickness unit is specifically configured to:
generating a post-stack inversion lithology data volume according to the low-frequency interpolation model and the post-stack seismic data volume;
and generating the thickness data of the mudstone cover layer of the target layer section according to the corresponding cutoff values of various mudstone cover layers and the post-stack inversion lithology data body.
7. The system for determining vertical closure of a trap cap layer according to claim 6, wherein said partitioning unit is specifically configured to:
establishing a mudstone cover layer standard chart according to the mudstone cover layer parameters;
and dividing the target layer interval into a plurality of types of mudstone cover layers according to the standard chart of the mudstone cover layers.
8. The system of claim 5, wherein the low frequency interpolation model creation unit is specifically configured to:
coarsening a corresponding reservoir inversion sensitive parameter curve according to the cutoff value;
and establishing a low-frequency interpolation model according to the coarsened reservoir inversion sensitive parameter curves corresponding to the horizon and various mudstone cover layers.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and running on the processor, characterized in that the processor implements the steps of the method for determining the vertical closure of a trap cover layer according to any of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of determining the vertical closure of a containment layer according to any one of claims 1 to 4.
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