CN111594153A - Method and device for identifying plastic mudstone under huge thick compact conglomerate layer and storage medium - Google Patents
Method and device for identifying plastic mudstone under huge thick compact conglomerate layer and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a device and a storage medium for identifying plastic mudstone under a huge thick compact conglomerate layer, wherein the method comprises the following steps: the method comprises the steps of obtaining rocks to be identified, determining whether the rocks to be identified are regional cover layers according to field outcrop data, logging data and microscopic analysis data of the rocks to be identified, and determining the rocks to be identified as plastic mudstones under the ultra-thick compact conglomerate layer if the rocks to be identified are the regional cover layers, the drilling data of the rocks to be identified meet first preset conditions and the logging data meet second preset conditions. The method for identifying the plastic mudstone under the huge thick compact conglomerate layer can identify the plastic mudstone, so that the density of the drilling fluid can be adjusted in time in the drilling process, the engineering complexity is effectively reduced, and the confinement in the implementation is facilitated.
Description
Technical Field
The embodiment of the invention relates to the field of oil and gas exploitation, in particular to a method and a device for identifying plastic mudstone under a huge thick compact conglomerate layer and a storage medium.
Background
The fluid in the gap can be timely removed due to the normal compaction of the mudstone under the mudstone, the mudstone is compact as a whole and is influenced by the action of gravity, and the mudstone usually presents the characterization phenomenon of normal compaction, so that the mudstone is easy to identify in the drilling and logging processes.
At present, mud rocks below a thick-layer dense conglomerate of a Ke-La-Su structural zone are usually in a softer plastic fluid flowing state when the vehicle is used for rolling down the Ke-La-Su structural zone, which is obviously different from normal compacted mud rocks, and the mud rocks can cause various engineering problems such as overflow, drill sticking and the like, and the construction trap closing and falling precision is poor when the influence of the plastic mud rocks below the conglomerates on an earthquake velocity field is neglected. However, there is currently no relevant research on plastic mudstones under conglomerates.
Disclosure of Invention
The embodiment of the invention provides a method and a device for identifying plastic mudstone under a huge and thick compact conglomerate layer and a storage medium, which are used for identifying the plastic mudstone under the huge and thick compact conglomerate layer, so that the density of drilling fluid is adjusted, and the engineering complexity is effectively reduced.
In a first aspect, an embodiment of the present invention provides a method for identifying plastic mudstone under a massive dense conglomerate layer, including:
obtaining rocks to be identified;
determining whether the rock to be identified is a regional cover layer according to the field outcrop data, the logging data and the microscopic analysis data of the rock to be identified;
and if the rock to be identified is the regional cover layer, the drilling data of the rock to be identified meets a first preset condition, and the logging data meets a second preset condition, determining that the rock to be identified is the plastic mudstone under the huge and thick compact conglomerate layer.
Optionally, the method further includes:
and grading the rocks to be identified according to the grading identification diagram of the plastic mudstone and the section diagram of the rocks to be identified.
Optionally, the method further includes:
obtaining a huge thick compact conglomerate sample;
acquiring a spatial distribution map of the huge thick compact conglomerate sample and a speed difference between lithologies of the huge thick compact conglomerate sample;
updating the spatial distribution map of the giant dense conglomerate sample according to the speed difference between the lithologies of the giant dense conglomerate sample;
and establishing a grading identification chart of the plastic mudstone under the huge and thick compact conglomerate layer according to the drilling data of the huge and thick compact conglomerate sample.
Optionally, before the step of establishing a graded identification map of the plastic mudstone under the giant dense gravel stratum according to the drilling data, the method further comprises:
and establishing an identification cross plot of the plastic mudstone according to the logging data of the huge thick compact conglomerate sample and the updated distribution map of the space of the huge thick compact conglomerate sample.
In a second aspect, an embodiment of the present invention provides an apparatus for identifying plastic mudstone under a massive dense conglomerate layer, including:
the acquisition module is used for acquiring rocks to be identified;
the determining module is used for determining whether the rock to be identified is a regional cover layer according to the field outcrop data, the logging data and the microscopic analysis data of the rock to be identified;
the determining module is further used for determining that the rock to be identified is the plastic mudstone under the huge and thick dense gravel stratum if the rock to be identified is the regional cover layer, the drilling data of the rock to be identified meets a first preset condition, and the logging data meets a second preset condition.
Optionally, the apparatus further includes a processing module:
and the processing module is used for grading the rocks to be identified according to the grading identification graph of the plastic mudstone and the section diagram of the rocks to be identified.
Optionally, the obtaining module is further configured to:
obtaining a huge thick compact conglomerate sample;
acquiring a spatial distribution map of the huge thick compact conglomerate sample and a speed difference between lithologies of the huge thick compact conglomerate sample;
the processing module is further used for updating the spatial distribution map of the huge thick compact conglomerate sample according to the speed difference between the lithological characters of the huge thick compact conglomerate sample;
and establishing a grading identification chart of the plastic mudstone under the huge and thick compact conglomerate layer according to the drilling data of the huge and thick compact conglomerate sample.
Optionally, the processing module is further configured to:
and establishing an identification cross plot of the plastic mudstone according to the logging data of the huge thick compact conglomerate sample and the updated distribution map of the space of the huge thick compact conglomerate sample.
In a third aspect, an embodiment of the present invention provides an electronic device, including: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of identifying plastic mudstone beneath a massive dense conglomerate formation as described in the first aspect.
In a fourth aspect, embodiments of the present invention provide a computer-readable storage medium, in which computer-executable instructions are stored, and when executed by a processor, the computer-executable instructions implement the method for identifying plastic mudstone under a massive dense conglomerate layer according to the first aspect.
The embodiment of the invention provides a method, a device and a storage medium for identifying plastic mudstone under a huge thick compact conglomerate layer, wherein the method comprises the following steps: the method comprises the steps of obtaining rocks to be identified, determining whether the rocks to be identified are regional cover layers according to field outcrop data, logging data and microscopic analysis data of the rocks to be identified, and determining the rocks to be identified as plastic mudstones under the ultra-thick compact conglomerate layer if the rocks to be identified are the regional cover layers, the drilling data of the rocks to be identified meet first preset conditions and the logging data meet second preset conditions. The method for identifying the plastic mudstone under the huge thick compact conglomerate layer can identify the plastic mudstone, so that the density of the drilling fluid can be adjusted in time in the drilling process, the engineering complexity is effectively reduced, and the confinement in the implementation is facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a first schematic flow chart of a method for identifying plastic mudstone under a massive and dense conglomerate layer according to an embodiment of the present invention;
FIG. 2 is a second schematic flow chart of the method for identifying plastic mudstone under a massive and dense conglomerate layer according to the embodiment of the invention;
FIG. 3 is a first schematic structural diagram of an apparatus for identifying plastic mudstone under a massive and dense conglomerate layer according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a second apparatus for identifying plastic mudstone under a massive and dense conglomerate layer according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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.
The method for identifying the plastic mudstone under the huge thick compact conglomerate layer can be applied to a drilling or structural trap scene, because the mudstone is under the ground due to the normal compaction action, fluid in pores can be removed in time, the whole body is compact, the characterization phenomenon of normal compaction is presented under the influence of gravity, the identification is better in the drilling and logging processes, but the mudstone under the thick layer compact conglomerate of the depressed and restrained construction zone of a tree basin garage usually has the characteristic of soft plastic fluid flow, and is obviously different from the normally compacted mudstone, the existence of the mudstone can cause engineering complexity of overflow, drilling sticking and the like in different degrees, and the influence of the plastic mudstone under the conglomerate on a speed field is larger, so that the structural trap is poor in the compaction precision. Therefore, the accurate identification of the plastic mudstone under the huge and thick conglomerate layer has great significance for the safe drilling and the accurate implementation of the trapping of the huge and thick conglomerate area. However, there is currently no method of identification of plastic mudstones under conglomerates.
Wherein, the mudstone refers to the strong consolidation rock formed by the clay with weak consolidation through the moderate after-growth effect (such as extrusion, dehydration, recrystallization and cementation). Mudstone is sedimentary rock which is consolidated into rock but has no obvious bedding or is in a block shape, has local plasticity loss and does not immediately expand when meeting water. Plastic mudstone refers to poorly compacted mudstone.
The trap is an effective space for capturing dispersed hydrocarbons to form oil gas accumulation, has the capacity of storing oil gas, and can form an oil gas reservoir when enough oil gas enters the trap to fill the trap or occupy a part of the trap.
In view of the above problems, an embodiment of the present invention provides a method for identifying plastic mudstone under a huge thick compact conglomerate layer, including: the method comprises the steps of obtaining rocks to be identified, determining whether the rocks to be identified are regional cover layers according to field outcrop data, logging data and microscopic analysis data of the rocks to be identified, and determining the rocks to be identified as plastic mudstones under the ultra-thick compact conglomerate layer if the rocks to be identified are the regional cover layers, the drilling data of the rocks to be identified meet first preset conditions and the logging data meet second preset conditions. The method for identifying the plastic mudstone under the huge thick compact conglomerate layer can identify the plastic mudstone, so that the density of the drilling fluid can be adjusted in time in the drilling process, the engineering complexity is effectively reduced, and the confinement in the implementation is facilitated.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 is a schematic flow chart of a method for identifying plastic mudstone under a huge thick compact conglomerate layer according to an embodiment of the present invention, which may be implemented by any device for implementing the method for identifying plastic mudstone under a huge thick compact conglomerate layer, and the device may be implemented by software and/or hardware. In this embodiment, the apparatus may be integrated in an electronic device. As shown in fig. 1, the method for identifying plastic mudstone under a massive dense conglomerate layer provided by the embodiment of the invention comprises the following steps:
and S101, obtaining the rock to be identified.
S102, determining whether the rock to be identified is a regional cover layer or not according to the field outcrop data, the logging data and the microscopic analysis data of the rock to be identified.
It should be noted that the present solution is applied to the basis that the rock to be identified is the regional cap rock, and therefore, it is first required to determine that the rock to be identified is the regional cap rock, and if the rock is not the regional cap rock, the present solution is not applicable.
Wherein, the cap layer refers to a protective layer located above the reservoir layer capable of blocking the reservoir layer from upward escape of hydrocarbons therein. The regional cover layer is divided according to the distribution range, has the characteristics of continuity, thick layer shape and compactness, and the thickness is generally more than 500 meters.
The field outcrop data is data obtained by field outcrop observation, the field outcrop observation is the best method for investigating or researching the geological profile along the way, and various field tools and instruments carried with the person can assist in improving the observation quality. The stratum and the construction aspect can be observed through the field outcrop, and the specific contents of the stratum aspect comprise lithology, name, attitude, contained fossil, contact relation among layers, thickness of rock stratum, other characteristics of rock stratum and the like. Specific contents of construction aspects comprise faults, folds and types thereof, the directions and combination relations of joints, the combination and direction of the joints in metamorphic rock series and the direction of regional construction lines.
The logging data is data obtained by logging, and logging and well drilling are closely related, wherein the logging is to observe, acquire, collect, record and analyze wellbore return-out information such as solid, liquid, gas and the like in the process of drilling by using methods such as rock and mineral analysis, geophysical and geochemistry, and optionally, the logging data comprises observed and analyzed data of rock debris in the actual drilling process and observed and analyzed data of samples with different drilling indexes (drilling time, drilling pressure and the like).
The logging data are obtained by logging, and the logging is a method for measuring geophysical parameters including acoustic wave time difference, natural gamma rays, resistivity and the like by utilizing the geophysical characteristics such as electrochemical characteristics, conductive characteristics, acoustic characteristics, radioactivity and the like of rock strata.
And the microscopic analysis comprises observation and analysis of the diagenetic degree, lithology, hardness, sorting, rounding, cementing condition and the like of the rock.
Specifically, the method includes the steps of obtaining field outcrop data, logging data and microscopic analysis data of the rock to be recognized, determining whether the rock to be recognized is a regional cover layer according to the field outcrop data, logging data and microscopic analysis data of the rock to be recognized, and enabling the specific judgment that the rock to be recognized is the regional cover layer to be similar to the implementation mode in the prior art, and therefore the detailed description is omitted here.
S103, if the rock to be identified is regional cover rock, the drilling data of the rock to be identified meets a first preset condition, and the logging data meets a second preset condition, determining that the rock to be identified is plastic mudstone under a huge and thick compact conglomerate layer.
Optionally, the drilling data includes rock pay, time-to-drill, weight-on-bit, and engineering complexity.
Optionally, the well log data comprises resistivity and sonic moveout curves.
Because the drilling data and the logging data of the plastic mudstone under the huge thick compact conglomerate layer are different from those of the normally compacted mudstone, the rock to be identified can be determined to be the plastic mudstone under the huge thick compact conglomerate layer only when the drilling data and the logging data of the rock to be identified meet the distribution range of the drilling data and the logging data of the plastic mudstone. And when the drilling data of the rock to be identified meets the first preset condition and the logging data meets the second preset condition, the rock to be identified is the plastic mudstone under the huge thick compact conglomerate layer.
The first preset condition can be that the drilling data are changed and obviously abnormal in the drilling process, the rock is plastic and block-shaped, and the drilling data are obviously abnormal when the drilling sticking occurs.
The second predetermined condition may be that the resistivity is less than or equal to 5 ohms, and the acoustic time difference is significantly offset from the normal compaction profile, typically 80 microseconds.
Specifically, when the rock to be identified is regional cover rock, the drilling data of the rock to be identified meets a first preset condition, and the logging data meets a second preset condition, the rock to be identified is plastic mudstone under a huge and thick compact conglomerate layer.
Optionally, the method further includes:
and grading the plasticity degree of the rock to be identified according to the grading identification diagram of the plastic mudstone and the section diagram of the rock to be identified.
The grading identification chart of the plastic mudstone can be obtained in advance, optionally, the grading identification chart of the plastic mudstone is obtained according to a plurality of plastic mudstone samples, and in the grading identification chart, the plastic mudstone is divided into strong plastic mudstone, strong plastic mudstone and general plastic mudstone.
Specifically, a profile of the rock to be identified can be obtained during logging, and then according to the grading identification chart of the plastic mudstone and the profile of the rock to be identified, the strength of the rock to be identified is judged to be the plastic mudstone, and the plasticity degree is divided into strong plasticity, strong plasticity and general plasticity. Optionally, the section of the rock to be identified is compared with the grading identification chart of the plastic mudstone, and the plastic mudstone with the strength is judged.
According to the method for identifying the plastic mudstone under the huge thick and compact conglomerate layer, the rock to be identified is obtained, whether the rock to be identified is the regional cover layer is identified according to the field outcrop data, the logging data and the microscopic analysis data of the rock to be identified, if the rock to be identified is the regional cover layer, the drilling data of the rock to be identified meets a first preset condition, and the logging data meets a second preset condition, the rock to be identified is determined to be the plastic mudstone under the huge thick and compact conglomerate layer. The plastic mudstone can be identified, so that the density of the drilling fluid can be adjusted in time in the drilling process, the engineering complexity is effectively reduced, and the implementation of trap is facilitated.
Fig. 2 is a schematic flow chart of a method for identifying plastic mudstone under a massive and dense conglomerate layer according to an embodiment of the present invention, where before S101 in the embodiment of fig. 1, the method further includes:
s201, obtaining a huge thick compact conglomerate sample.
S202, obtaining a spatial distribution map of the huge and thick compact conglomerate sample and a speed difference between lithologies of the huge and thick compact conglomerate sample.
The method comprises the steps of obtaining lithological characteristics of the huge thick compact conglomerate sample by using a three-dimensional seismic data, a three-dimensional gravity magnetoelectric technology and a deposition sequence stacking technology, obtaining the lithological characteristics of the huge thick compact conglomerate sample by using the three-dimensional seismic data, the three-dimensional gravity magnetoelectric technology and the deposition sequence stacking technology, and obtaining the lithological characteristics of the huge thick compact conglomerate sample by using the three-dimensional seismic data, the three-dimensional gravity magnetoelectric technology and the deposition sequence stacking technology.
S203, updating the spatial distribution map of the huge thick compact conglomerate sample according to the speed difference between the lithological characters of the huge thick compact conglomerate sample.
And in the space distribution map, different stratum depths correspond to the plastic mudstones with different plasticity degrees, so that the space distribution map of the pre-acquired huge thick and compact conglomerate sample is further updated according to the speed difference between lithologies of the huge thick and compact conglomerate sample, and a more accurate space distribution map is obtained.
And S204, establishing a grading identification chart of the plastic mudstone under the huge and thick compact conglomerate layer according to the drilling data of the huge and thick compact conglomerate sample.
Optionally, before the step of establishing a graded identification map of the plastic mudstone under the giant dense gravel stratum according to the drilling data, the method further comprises: and establishing an identification cross plot of the plastic mudstone according to the logging data of the huge thick compact conglomerate sample and the updated distribution map of the space of each huge thick compact conglomerate sample.
The identification intersection map of the plastic mudstone can be an intersection map of the plastic mudstone with different plasticity degrees. Specifically, according to the resistivity-natural gamma, the resistivity-acoustic time difference and the acoustic time difference-natural gamma of the huge thick and compact conglomerate sample, establishing an identification cross plot of the plastic mudstone, such as: and when a third preset condition of resistivity-natural gamma is met, the mud rock is the strong plastic mud rock, the third preset condition is specifically selected according to the actual situation, and the scheme is not limited.
In this step, based on the drilling data of a plurality of samples of very thick and dense conglomerate, for example: the method comprises the steps of establishing a grading identification diagram of the plastic mudstone under the huge and thick compact conglomerate layer on the basis of identification intersection diagrams of the plastic mudstone, such as rock debris occurrence, drilling fluid density, drilling time, drilling pressure, engineering complexity and the like.
In the method for identifying plastic mudstone under the huge thick and compact conglomerate layer, the spatial distribution map of the huge thick and compact conglomerate sample is obtained by obtaining the huge thick and compact conglomerate sample, the speed difference between the lithologies of the huge thick and compact conglomerate sample is obtained, the spatial distribution map of the huge thick and compact conglomerate sample is updated according to the speed difference between the lithologies of the huge thick and compact conglomerate sample, and the grading identification map of the plastic mudstone under the huge thick and compact conglomerate layer is established according to the drilling data of the huge thick and compact conglomerate sample. Therefore, in the drilling process, the density of the drilling fluid can be adjusted in time, the engineering complexity is effectively reduced, and the trapping is facilitated.
Fig. 3 is a schematic structural diagram of the first identification apparatus for plastic mudstone under a very thick and compact conglomerate layer, which may be a stand-alone electronic device or an apparatus integrated in an electronic device, and which may be implemented in a software, hardware or a combination of software and hardware. As shown in fig. 3, the apparatus 30 for identifying plastic mudstone under a massive dense conglomerate layer includes: an obtaining module 301 and a determining module 302, wherein:
an obtaining module 301, configured to obtain a rock to be identified;
a determining module 302, configured to determine whether the rock to be identified is a regional cover layer according to the field outcrop data, the logging data, and the microscopic analysis data of the rock to be identified;
the determining module 302 is further configured to determine that the rock to be identified is plastic mudstone under the huge thick dense gravel stratum if the rock to be identified is the regional cover layer, the drilling data of the rock to be identified meets a first preset condition, and the logging data meets a second preset condition.
The apparatus provided in this embodiment may be used to implement the technical solutions of the above method embodiments, and the implementation principles and technical effects are similar, which are not described herein again.
Fig. 4 is a schematic structural diagram of a device for identifying plastic mudstone under a giant dense conglomerate layer according to an embodiment of the present invention, where on the basis of the embodiment of fig. 3, the device 30 further includes: a processing module 303.
The processing module 303 is configured to grade the rock to be identified according to the grade identification map of the plastic mudstone and the profile map of the rock to be identified.
Optionally, the obtaining module 301 is further configured to:
obtaining a huge thick compact conglomerate sample;
acquiring a spatial distribution map of the huge thick compact conglomerate sample and a speed difference between lithologies of the huge thick compact conglomerate sample;
the processing module 303 is further configured to update the spatial distribution map of the huge thick compact conglomerate sample according to the speed difference between lithologies of the huge thick compact conglomerate sample;
and establishing a grading identification chart of the plastic mudstone under the huge and thick compact conglomerate layer according to the drilling data of the huge and thick compact conglomerate sample.
Optionally, the processing module 303 is further configured to:
and establishing an identification cross plot of the plastic mudstone according to the logging data of the huge thick compact conglomerate sample and the updated distribution map of the space of the huge thick compact conglomerate sample.
The apparatus provided in this embodiment may be used to implement the technical solutions of the above method embodiments, and the implementation principles and technical effects are similar, which are not described herein again.
Fig. 5 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention. As shown in fig. 5, the electronic apparatus 50 of the present embodiment includes: a processor 501 and a memory 502; wherein
A memory 502 for storing computer-executable instructions;
Alternatively, the memory 502 may be separate or integrated with the processor 501.
When the memory 502 is provided separately, the electronic device further comprises a bus 503 for connecting said memory 502 and the processor 501.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer executing instruction is stored in the computer-readable storage medium, and when a processor executes the computer executing instruction, the method for identifying plastic mudstone under a huge and thick compact conglomerate layer as described above is implemented.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical division, and other divisions may be realized in practice, for example, a plurality of modules may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit. The unit formed by the modules can be realized in a hardware form, and can also be realized in a form of hardware and a software functional unit.
The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to perform some steps of the methods according to the embodiments of the present application.
It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile storage NVM, such as at least one disk memory, and may also be a usb disk, a removable hard disk, a read-only memory, a magnetic or optical disk, etc.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
The storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the storage medium may reside as discrete components in an electronic device or host device.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for identifying plastic mudstone under a huge thick compact conglomerate layer is characterized by comprising the following steps:
obtaining rocks to be identified;
determining whether the rock to be identified is a regional cover layer according to the field outcrop data, the logging data and the microscopic analysis data of the rock to be identified;
and if the rock to be identified is the regional cover layer, the drilling data of the rock to be identified meets a first preset condition, and the logging data meets a second preset condition, determining that the rock to be identified is the plastic mudstone under the huge and thick compact conglomerate layer.
2. The method of claim 1, further comprising:
and grading the rocks to be identified according to the grading identification diagram of the plastic mudstone and the section diagram of the rocks to be identified.
3. The method of claim 2, further comprising:
obtaining a huge thick compact conglomerate sample;
acquiring a spatial distribution map of the huge thick compact conglomerate sample and a speed difference between lithologies of the huge thick compact conglomerate sample;
updating the spatial distribution map of the giant dense conglomerate sample according to the speed difference between the lithologies of the giant dense conglomerate sample;
and establishing a grading identification chart of the plastic mudstone under the huge and thick compact conglomerate layer according to the drilling data of the huge and thick compact conglomerate sample.
4. The method of claim 3, wherein prior to establishing a hierarchical identification map of plastic mudstone under a massive conglomerate formation from the drilling data, the method further comprises:
and establishing an identification cross plot of the plastic mudstone according to the logging data of the huge thick compact conglomerate sample and the updated distribution map of the space of the huge thick compact conglomerate sample.
5. An identification device of plastic mudstone under a huge thick tight conglomerate layer, characterized in that it comprises:
the acquisition module is used for acquiring rocks to be identified;
the determining module is used for determining whether the rock to be identified is a regional cover layer according to the field outcrop data, the logging data and the microscopic analysis data of the rock to be identified;
the determining module is further used for determining that the rock to be identified is the plastic mudstone under the huge and thick dense gravel stratum if the rock to be identified is the regional cover layer, the drilling data of the rock to be identified meets a first preset condition, and the logging data meets a second preset condition.
6. The apparatus of claim 5, further comprising a processing module to:
and the processing module is used for grading the rocks to be identified according to the grading identification graph of the plastic mudstone and the section diagram of the rocks to be identified.
7. The apparatus of claim 6, wherein the obtaining module is further configured to:
obtaining a huge thick compact conglomerate sample;
acquiring a spatial distribution map of the huge thick compact conglomerate sample and a speed difference between lithologies of the huge thick compact conglomerate sample;
the processing module is further used for updating the spatial distribution map of the huge thick compact conglomerate sample according to the speed difference between the lithological characters of the huge thick compact conglomerate sample;
and establishing a grading identification chart of the plastic mudstone under the huge and thick compact conglomerate layer according to the drilling data of the huge and thick compact conglomerate sample.
8. The apparatus of claim 7, wherein the processing module is further configured to:
and establishing an identification cross plot of the plastic mudstone according to the logging data of the huge thick compact conglomerate sample and the updated distribution map of the space of the huge thick compact conglomerate sample.
9. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of identifying plastic mudstone beneath a massive dense conglomerate layer as claimed in any one of claims 1 to 4.
10. A computer-readable storage medium having stored thereon computer-executable instructions which, when executed by a processor, implement the method of identifying plastic mudstone under a massive dense conglomerate formation according to any one of claims 1 to 4.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102733789A (en) * | 2012-07-06 | 2012-10-17 | 崔彦立 | Staged fracturing construction yield increment method for waterpower in deep thickened oil deposit thick-bedded sandstone storage layer |
| CN104049283A (en) * | 2013-03-13 | 2014-09-17 | 中国石油天然气股份有限公司 | Method for identification and prediction of fore-land basin extremely-thick conglomerate body |
| CN104133250A (en) * | 2014-07-23 | 2014-11-05 | 中国石油集团川庆钻探工程有限公司 | Gypsiferous salt stratum geological layering method |
| CN104375204A (en) * | 2014-11-21 | 2015-02-25 | 中国海洋石油总公司 | Method and device for analyzing anisotropism of reservoir |
| CN105510993A (en) * | 2015-12-23 | 2016-04-20 | 中国石油大学(北京) | Foreland basin deep buried and compressed type complex gypsum-salt rock identification and distribution prediction method |
| CN105525917A (en) * | 2014-09-28 | 2016-04-27 | 中国石油化工股份有限公司 | Method for identifying reservoir and method for identifying fluid type in reservoir |
| CN107506534A (en) * | 2017-08-04 | 2017-12-22 | 陕西延长石油（集团）有限责任公司 | A kind of carbon dioxide drive seals middle cap rock sealed harmonic drive method up for safekeeping |
| CN108020861A (en) * | 2016-10-28 | 2018-05-11 | 中国石油化工股份有限公司 | A kind of cap rock sealing seismic evaluation method |
| CN108375803A (en) * | 2018-01-17 | 2018-08-07 | 北京博达瑞恒科技有限公司 | A kind of recognition methods of mud stone wall and system |
| CN108931815A (en) * | 2017-05-24 | 2018-12-04 | 中国石油化工股份有限公司 | A kind of hierarchical identification method of lithology |
| US20190011584A1 (en) * | 2017-07-05 | 2019-01-10 | Petrochina Company Limited | Method and apparatus for identifying low permeable conglomerate diagenetic trap |
| CN109187302A (en) * | 2018-05-29 | 2019-01-11 | 中国石油大学(华东) | A kind of effective seal rock THICKNESS CALCULATION method based on cap rock heterogeneity |
-
2019
- 2019-02-03 CN CN201910108542.3A patent/CN111594153B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102733789A (en) * | 2012-07-06 | 2012-10-17 | 崔彦立 | Staged fracturing construction yield increment method for waterpower in deep thickened oil deposit thick-bedded sandstone storage layer |
| CN104049283A (en) * | 2013-03-13 | 2014-09-17 | 中国石油天然气股份有限公司 | Method for identification and prediction of fore-land basin extremely-thick conglomerate body |
| CN104133250A (en) * | 2014-07-23 | 2014-11-05 | 中国石油集团川庆钻探工程有限公司 | Gypsiferous salt stratum geological layering method |
| CN105525917A (en) * | 2014-09-28 | 2016-04-27 | 中国石油化工股份有限公司 | Method for identifying reservoir and method for identifying fluid type in reservoir |
| CN104375204A (en) * | 2014-11-21 | 2015-02-25 | 中国海洋石油总公司 | Method and device for analyzing anisotropism of reservoir |
| CN105510993A (en) * | 2015-12-23 | 2016-04-20 | 中国石油大学(北京) | Foreland basin deep buried and compressed type complex gypsum-salt rock identification and distribution prediction method |
| CN108020861A (en) * | 2016-10-28 | 2018-05-11 | 中国石油化工股份有限公司 | A kind of cap rock sealing seismic evaluation method |
| CN108931815A (en) * | 2017-05-24 | 2018-12-04 | 中国石油化工股份有限公司 | A kind of hierarchical identification method of lithology |
| US20190011584A1 (en) * | 2017-07-05 | 2019-01-10 | Petrochina Company Limited | Method and apparatus for identifying low permeable conglomerate diagenetic trap |
| CN107506534A (en) * | 2017-08-04 | 2017-12-22 | 陕西延长石油（集团）有限责任公司 | A kind of carbon dioxide drive seals middle cap rock sealed harmonic drive method up for safekeeping |
| CN108375803A (en) * | 2018-01-17 | 2018-08-07 | 北京博达瑞恒科技有限公司 | A kind of recognition methods of mud stone wall and system |
| CN109187302A (en) * | 2018-05-29 | 2019-01-11 | 中国石油大学(华东) | A kind of effective seal rock THICKNESS CALCULATION method based on cap rock heterogeneity |
Non-Patent Citations (2)
| Title |
|---|
| 冯许魁;熊兴银;刘永雷;谷永兴;: "电阻率约束下的地震反演技术在库车某区叠前深度偏移速度建场中的应用", 地球物理学进展, no. 01, pages 170 * |
| 张哲, 张晖, 史迹忠: "深层巨厚砾岩稠油油藏划分开发层系的隔夹层研究", 特种油气藏, no. 01, pages 23 * |
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