CN111594153B - Method, device and storage medium for identifying plastic mudstone under ultra-thick dense gravel stratum - Google Patents

Method, device and storage medium for identifying plastic mudstone under ultra-thick dense gravel stratum Download PDF

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Publication number
CN111594153B
CN111594153B CN201910108542.3A CN201910108542A CN111594153B CN 111594153 B CN111594153 B CN 111594153B CN 201910108542 A CN201910108542 A CN 201910108542A CN 111594153 B CN111594153 B CN 111594153B
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rock
identified
plastic
thick
mudstone
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CN111594153A (en
Inventor
唐雁刚
雷刚林
周鹏
王振鸿
朱婧
王媛
尚江伟
许安明
莫涛
王佐涛
李梅
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Petrochina Co Ltd
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Petrochina Co Ltd
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    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00Survey of boreholes or wells
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/30Assessment of water resources

Abstract

The embodiment of the invention provides a method, a device and a storage medium for identifying plastic mudstones under a huge thick dense gravel stratum, wherein the method comprises the following steps: acquiring the rock to be identified, determining whether the rock to be identified is a regional cover layer according to field outcrop data, logging data and microscopic analysis data of the rock to be identified, and if the rock to be identified is a regional cover layer, drilling data of the rock to be identified meets a first preset condition, and logging data meets a second preset condition, determining that the rock to be identified is plastic mudstone under a huge thick compact gravel layer. The identification method of the plastic mudstone under the ultra-thick dense gravel stratum can identify the plastic mudstone, so that the density of drilling fluid can be timely adjusted in the drilling process, the engineering complexity is effectively reduced, and meanwhile, the implementation of trap is facilitated.

Description

Method, device and storage medium for identifying plastic mudstone under ultra-thick dense gravel stratum
Technical Field
The embodiment of the invention relates to the field of oil and gas exploitation, in particular to a method, a device and a storage medium for identifying plastic mudstones under a super-thick dense gravel stratum.
Background
The mudstone is under the ground, and the fluid in the gap can be removed in time due to the normal compaction effect, the whole body is compact and is influenced by the gravity effect, and the characterization phenomenon of normal compaction is usually presented, so that the mud stone is easy to identify in the drilling and logging processes.
At present, mudstones under thick-layer dense conglomerates with a depression Clay Su Gouzao are usually in a softer plastic fluid flowing state, which is obviously different from normally compacted mudstones, and the mudstones can cause various engineering problems such as overflow, sticking and the like, and neglect that the plastic mudstones under the conglomerates have great influence on an earthquake velocity field and can cause poor construction trap implementation precision. However, there is currently no study on plastic mudstones under conglomerates.
Disclosure of Invention
The embodiment of the invention provides a method, a device and a storage medium for identifying plastic mudstones under a huge thick and dense gravel stratum, so as to identify the plastic mudstones under the huge thick and dense gravel stratum, thereby adjusting the density of drilling fluid and effectively reducing engineering complexity.
In a first aspect, an embodiment of the present invention provides a method for identifying a plastic mudstone under a super-thick dense gravel layer, including:
acquiring rock to be identified;
determining whether the rock to be identified is a regional cover layer according to the field outcrop data, logging data and microscopic analysis data of the rock to be identified;
if the rock to be identified is the regional cover layer, drilling data of the rock to be identified meets a first preset condition, and logging data meets a second preset condition, determining that the rock to be identified is plastic mudstone under a huge thick compact gravel stratum.
Optionally, the method further comprises:
and classifying the rock to be identified according to the classification identification diagram of the plastic mudstone and the section diagram of the rock to be identified.
Optionally, the method further comprises:
obtaining a sample of the huge thick dense conglomerate;
acquiring a spatial distribution map of the huge thick dense conglomerate sample and a speed difference between lithology of the huge thick dense conglomerate sample;
updating a spatial distribution map of the huge thick dense conglomerate sample according to the speed difference between lithology of the huge thick dense conglomerate sample;
and establishing a grading identification chart of the plastic mudstone under the ultra-thick compact conglomerate according to the drilling data of the ultra-thick compact conglomerate sample.
Optionally, before the step of creating the hierarchical identification map of the plastic mudstone under the ultra-thick dense gravel layer according to the drilling data, the method further includes:
and establishing an identification intersection graph of the plastic mudstone according to the logging data of the huge thick and dense conglomerate sample and the updated spatial distribution graph of the huge thick and dense conglomerate sample.
In a second aspect, an embodiment of the present invention provides an apparatus for identifying plastic mudstone under a super-thick dense gravel layer, including:
the acquisition module is used for acquiring the rock to be identified;
the determining module is used for determining whether the rock to be identified is a regional cover layer or not according to the field outcrop data, logging data and microscopic analysis data of the rock to be identified;
the determining module is further configured to determine that the rock to be identified is plastic mudstone under the ultra-thick dense gravel layer if the rock to be identified is the regional cover layer, drilling data of the rock to be identified meets a first preset condition, and logging data meets a second preset condition.
Optionally, the apparatus further includes a processing module:
and the processing module is used for grading 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.
Optionally, the acquiring module is further configured to:
obtaining a sample of the huge thick dense conglomerate;
acquiring a spatial distribution map of the huge thick dense conglomerate sample and a speed difference between lithology of the huge thick dense conglomerate sample;
the processing module is further used for updating the spatial distribution diagram of the huge thick dense conglomerate sample according to the speed difference between lithology of the huge thick dense conglomerate sample;
and establishing a grading identification chart of the plastic mudstone under the ultra-thick compact conglomerate according to the drilling data of the ultra-thick compact conglomerate sample.
Optionally, the processing module is further configured to:
and establishing an identification intersection graph of the plastic mudstone according to the logging data of the huge thick and dense conglomerate sample and the updated spatial distribution graph of the huge thick and dense 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 computer-executable instructions stored in the memory causes the at least one processor to perform the method of identifying plastic mudstones under a very thick tight gravel layer as described in the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium, where computer executable instructions are stored, and when executed by a processor, implement a method for identifying plastic mudstones under a ultra-thick dense gravel layer according to the first aspect.
The embodiment of the invention provides a method, a device and a storage medium for identifying plastic mudstones under a huge thick dense gravel stratum, wherein the method comprises the following steps: acquiring the rock to be identified, determining whether the rock to be identified is a regional cover layer according to field outcrop data, logging data and microscopic analysis data of the rock to be identified, and if the rock to be identified is a regional cover layer, drilling data of the rock to be identified meets a first preset condition, and logging data meets a second preset condition, determining that the rock to be identified is plastic mudstone under a huge thick compact gravel layer. The identification method of the plastic mudstone under the ultra-thick dense gravel stratum can identify the plastic mudstone, so that the density of drilling fluid can be timely adjusted in the drilling process, the engineering complexity is effectively reduced, and meanwhile, the implementation of trap is facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for identifying plastic mudstones under a super-thick dense gravel layer according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart II of a method for identifying plastic mudstones under a super-thick dense gravel layer according to an embodiment of the invention;
FIG. 3 is a schematic diagram of a device for identifying plastic mudstones under a super-thick dense gravel layer according to an embodiment of the present invention;
FIG. 4 is a schematic diagram II of a device for identifying plastic mudstones under a super-thick dense gravel 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
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The identification method of the plastic mudstone under the huge thick compact gravelly stratum provided by the embodiment of the invention can be applied to a drilling or construction trap scene, because the mudstone is under the ground, due to the normal compaction effect, the fluid in the pores can be timely discharged, the whole body is compact and is influenced by the gravity effect, the characterization phenomenon of normal compaction is presented, the identification is better in the drilling and logging processes, but the characteristic that the mudstone under the thick compact gravelly stratum in the Tarim basin storage truck depression of the Kela Su Gouzao belt is in a softer plastic fluid flow state is obviously different from the normally compacted mudstone, the existence of the mudstone can cause the engineering complexity of different degrees such as overflow, drilling blockage and the like, and the influence of the plastic mudstone under the gravelly stratum on the speed field is neglected, thereby causing the construction trap precision to be poor. Therefore, the accurate identification of the plastic mudstone under the ultra-thick gravelly layer has great significance for the safe drilling and the accurate implementation of the trap of the ultra-thick gravelly region. However, no method for identifying plastic mudstones under conglomerates exists at present.
Wherein mudstone refers to a weakly consolidated clay that undergoes moderate metaplasia (e.g., extrusion, dehydration, recrystallization, and cementing) to form a strongly consolidated rock. Mudstone is a sedimentary rock which is solidified into rock, but has unobvious bedding or is in a block shape, locally loses plasticity and does not expand immediately when meeting water. Plastic mudstone refers to a mudstone that is not compacted.
The trap is an effective space for capturing and dispersing hydrocarbons to form oil and gas aggregation, has the capability of storing the oil and gas, and can form an oil and gas reservoir when a sufficient quantity of the oil and gas enters the trap and fills the trap or occupies 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 super-thick dense gravel layer, the method including: acquiring the rock to be identified, determining whether the rock to be identified is a regional cover layer according to field outcrop data, logging data and microscopic analysis data of the rock to be identified, and if the rock to be identified is a regional cover layer, drilling data of the rock to be identified meets a first preset condition, and logging data meets a second preset condition, determining that the rock to be identified is plastic mudstone under a huge thick compact gravel layer. The identification method of the plastic mudstone under the ultra-thick dense gravel stratum can identify the plastic mudstone, so that the density of drilling fluid can be timely adjusted in the drilling process, the engineering complexity is effectively reduced, and meanwhile, the implementation of trap is facilitated.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
Fig. 1 is a schematic flow chart of a method for identifying plastic mudstones under a huge thick and dense gravel layer, which is provided by an embodiment of the present invention. 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 super-thick dense gravel layer provided by the embodiment of the invention comprises the following steps:
s101, acquiring the rock to be identified.
S102, determining whether the rock to be identified is a regional cover layer according to field outcrop data, logging data and 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 a regional cover layer, so it is first required to determine that the rock to be identified is a regional cover layer, and if the rock to be identified is not a regional cover layer, the present solution is not applicable.
Wherein, the cap layer refers to a protective layer located over the reservoir that is capable of sealing the reservoir from upward escape of hydrocarbons therein. The regional cover layer is divided according to the distribution range, has the characteristics of continuity, thick layer and compactness, and the thickness is generally more than 500 meters.
The field outcrop data are obtained by field outcrop observation, which is the best method for investigating or researching the geological profile along the way, and various field tools and instruments carried with the field outcrop data can assist in improving the quality of observation. The field outcrop can observe the stratum and the structural aspect, and the specific content of the stratum aspect comprises lithology, name, attitude, fossil contained, contact relation among layers, thickness of the stratum, other characteristics of the stratum and the like. The specific contents of the construction aspect include faults, folds and types thereof, the direction of joints and combination relation thereof, the combination and direction of joints in a metamorphic rock system and the direction of a regional construction line.
Logging data is data obtained by logging, the logging is closely connected with drilling, and the logging is by using methods of rock and mineral analysis, geophysics, geochemistry and the like to observe, collect, record and analyze wellbore return information such as solids, liquids, gases and the like in the while-drilling process, and optionally, the logging data comprises observation and analysis data of rock fragments in the actual drilling process and observation and analysis data of samples with different drilling indexes (drilling time, drilling pressure and the like).
Logging data is data obtained by logging, and logging is a method for measuring geophysical parameters by using the electrochemical properties, conductive properties, acoustic properties, radioactivity and other geophysical properties of a rock stratum, including acoustic time difference, natural gamma, resistivity and the like.
Microscopic analysis includes observation and analysis of rock diagenesis degree, lithology, hardness, sorting, rounding, cementing, and the like.
Specifically, field outcrop data, logging data and microscopic analysis data of the rock to be identified are obtained, whether the rock to be identified is a regional cover layer is determined according to the field outcrop data, logging data and microscopic analysis data of the rock to be identified, and the specific implementation mode for judging whether the rock to be identified is the regional cover layer is similar to that in the prior art and is not repeated here.
S103, if the rock to be identified is regional overburden rock, drilling data of the rock to be identified meets a first preset condition, logging data meets a second preset condition, and the rock to be identified is determined to be plastic mudstone under the ultra-thick dense gravel stratum.
Optionally, the drilling data includes the production of rock, time of drilling, weight on bit, and engineering complexity.
Optionally, the logging data includes resistivity, sonic moveout curves.
Because the drilling data and the logging data of the plastic mudstone under the ultra-thick compact gravelly are different from those of the normally compacted mudstone, the plastic mudstone under the ultra-thick compact gravelly can be determined only when the drilling data and the logging data of the rock to be identified meet the distribution range of the plastic mudstone drilling data and the logging data. The distribution range of the plastic mudstone drilling data and the logging data can be determined according to a first preset condition and a second preset condition, 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 ultra-thick compact gravel stratum.
The first preset condition can be that drilling data change and are obviously abnormal in the drilling process, rock shapes are plastic and are in a block shape, and when drilling sticking occurs, the drilling data are obviously abnormal.
The second preset condition may be that the resistivity is less than or equal to 5 ohms, the acoustic time difference deviates significantly from the normal compaction line concentration, and typically, the acoustic time difference is greater than or equal to 80 microseconds.
Specifically, when the rock to be identified is regional overburden rock, drilling data of the rock to be identified meets a first preset condition, logging data meets a second preset condition, and the rock to be identified is plastic mudstone under the ultra-thick dense gravel layer.
Optionally, the method further comprises:
and classifying the plasticity degree of the rock to be identified according to the classification identification diagram of the plastic mudstone and the section diagram of the rock to be identified.
The hierarchical identification map of the plastic mudstone may be obtained in advance, or alternatively, according to a plurality of plastic mudstone samples, a hierarchical identification map of the plastic mudstone is obtained, in which the plastic mudstone is classified into a strong plastic mudstone, a stronger plastic mudstone, and a general plastic mudstone.
Specifically, the section view of the rock to be identified can be obtained during logging, and then the plastic mudstone with which strength the rock to be identified is judged according to the grading identification view of the plastic mudstone and the section view of the rock to be identified, wherein the plastic degree is classified into strong plasticity, stronger plasticity and general plasticity. Optionally, comparing the section of the rock to be identified with the hierarchical identification map of the plastic mudstone, and judging that the plastic mudstone belongs to the strength.
According to the method for identifying the plastic mudstone under the huge thick and dense gravel stratum, whether the rock to be identified is a regional cover layer or not is identified according to field outcrop data, logging data and microscopic analysis data of the rock to be identified, if the rock to be identified is the regional cover layer, drilling data of the rock to be identified meets a first preset condition, logging data meets a second preset condition, and the rock to be identified is determined to be the plastic mudstone under the huge thick and dense gravel stratum. The plastic mudstone can be identified, so that the density of drilling fluid can be timely adjusted in the drilling process, the engineering complexity is effectively reduced, and meanwhile, the implementation of trap is facilitated.
Fig. 2 is a second flow chart of a method for identifying plastic mudstone under a super-thick dense gravel layer according to an embodiment of the present invention, and before S101 in the embodiment of fig. 1, the method further includes:
s201, obtaining a sample of the ultra-thick dense conglomerate.
S202, acquiring a spatial distribution map of the ultra-thick dense conglomerate sample, and acquiring a speed difference between lithology of the ultra-thick dense conglomerate sample.
The number of the huge thick and dense conglomerate samples can be multiple, the spatial distribution diagram of the huge thick and dense conglomerate samples can be obtained in advance, the lithology difference of the huge thick and dense conglomerate samples can be obtained according to three-dimensional seismic data, three-dimensional heavy magnetoelectric technology and deposition sequence stacking technology, specifically, the lithology difference of each sample of the huge thick and dense conglomerate can be obtained by adopting the technologies, and optionally, the lithology difference of different lithology can be obtained by adopting an acoustic velocity logger.
S203, updating the spatial distribution diagram of the huge dense conglomerate sample according to the speed difference between lithology of the huge dense conglomerate sample.
And (3) the space of the pre-acquired huge-thickness dense conglomerate sample, wherein in the space distribution diagram, different stratum depths correspond to plastic mudstones with different plastic degrees, so that the space distribution diagram of the pre-acquired huge-thickness dense conglomerate sample is further updated according to the speed difference between lithology of the huge-thickness dense conglomerate sample, and a more accurate space distribution diagram is obtained.
S204, establishing a grading identification chart of the plastic mudstone under the ultra-thick dense conglomerate according to the drilling data of the ultra-thick dense conglomerate sample.
Optionally, before the step of creating the hierarchical identification map of the plastic mudstone under the ultra-thick dense gravel layer according to the drilling data, the method further includes: and establishing a plastic mudstone identification intersection graph according to the logging data of the huge thick and dense conglomerate samples and the updated spatial distribution diagram of each huge thick and dense conglomerate sample.
The identification intersection map of the plastic mudstone can be intersection maps of plastic mudstones with different degrees of plasticity. Specifically, an identification intersection map of plastic mudstone is established according to the resistivity-natural gamma, resistivity-acoustic time difference and acoustic time difference-natural gamma of the huge thick dense mudstone sample, for example: when the third preset condition of resistivity-natural gamma is met, the third preset condition is strong plastic mudstone, and the third preset condition is specifically selected according to actual conditions, and the scheme is not limited.
In this step, from the drilling data of a plurality of samples of extremely thick dense conglomerates, for example: and (3) establishing a grading identification map of the plastic mudstone under the ultra-thick compact gravel stratum on the basis of the identification intersection map of the plastic mudstone, wherein the cuttings are produced, the density of drilling fluid, the drilling time, the drilling pressure, the engineering complexity and the like.
According to the identification method of the plastic mudstone under the huge thick and dense conglomerate, the spatial distribution map of the huge thick and dense conglomerate sample and the velocity difference between lithology of the huge thick and dense conglomerate sample are obtained by obtaining the huge thick and dense conglomerate sample, the spatial distribution map of the huge thick and dense conglomerate sample is updated according to the velocity difference between lithology of the huge thick and dense conglomerate sample, and the grading identification map of the plastic mudstone under the huge thick and dense conglomerate is established according to the drilling data of the huge thick and dense conglomerate sample. Therefore, in the drilling process, the density of the drilling fluid can be timely adjusted, the engineering complexity is effectively reduced, and meanwhile, the implementation of trap is facilitated.
Fig. 3 is a schematic structural diagram of an apparatus for identifying plastic mudstone under a super-thick dense gravel stratum according to an embodiment of the present invention, where the apparatus may be an independent electronic device, or may be an apparatus integrated in an electronic device, and the apparatus may be implemented by software, hardware, or a combination of software and hardware. As shown in fig. 3, the identification device 30 for plastic mudstone under a super-thick dense gravel layer includes: an acquisition module 301, a determination module 302, wherein:
an acquisition module 301, configured to acquire 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 field outcrop data, logging data, and 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 ultra-thick dense gravel layer if the rock to be identified is the regional cover layer, drilling data of the rock to be identified meets a first preset condition, and logging data meets a second preset condition.
The device provided in this embodiment may be used to implement the technical solution of the foregoing method embodiment, and its implementation principle and technical effects are similar, and this embodiment will not be described herein again.
Fig. 4 is a schematic structural diagram II of an apparatus for identifying plastic mudstones under a super-thick dense gravel stratum according to an embodiment of the present invention, where, based on the embodiment of fig. 3, the apparatus 30 further includes: a processing module 303.
The processing module 303 is configured to rank the rock to be identified according to a classification and identification chart of plastic mudstone and a section chart of the rock to be identified.
Optionally, the acquiring module 301 is further configured to:
obtaining a sample of the huge thick dense conglomerate;
acquiring a spatial distribution map of the huge thick dense conglomerate sample and a speed difference between lithology of the huge thick dense conglomerate sample;
the processing module 303 is further configured to update a spatial distribution map of the huge thick dense conglomerate sample according to a velocity difference between lithology of the huge thick dense conglomerate sample;
and establishing a grading identification chart of the plastic mudstone under the ultra-thick compact conglomerate according to the drilling data of the ultra-thick compact conglomerate sample.
Optionally, the processing module 303 is further configured to:
and establishing an identification intersection graph of the plastic mudstone according to the logging data of the huge thick and dense conglomerate sample and the updated spatial distribution graph of the huge thick and dense conglomerate sample.
The device provided in this embodiment may be used to implement the technical solution of the foregoing method embodiment, and its implementation principle and technical effects are similar, and this embodiment will not be 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 device 50 of the present embodiment includes: a processor 501 and a memory 502; wherein the method comprises the steps of
A memory 502 for storing computer-executable instructions;
a processor 501 for executing computer-executable instructions stored in a memory to perform the method steps of the above-described embodiments. Reference may be made in particular to the relevant description of the embodiments of the method described above.
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.
The embodiment of the invention also provides a computer readable storage medium, wherein computer execution instructions are stored in the computer readable storage medium, and when a processor executes the computer execution instructions, the method for identifying the plastic mudstone under the ultra-thick dense gravel stratum is realized.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each module may exist alone physically, or two or more modules may be integrated in one unit. The units formed by the modules can be realized in a form of hardware or a form of hardware and software functional units.
The integrated modules, which are implemented in the form of software functional modules, may be stored in a computer readable storage medium. The software functional module is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform some of the steps of the methods described in the embodiments of the present application.
It should be understood that the above processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. 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 for execution, or in a combination of hardware and software modules in a processor for execution.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile memory NVM, such as at least one magnetic disk memory, and may also be a U-disk, a removable hard disk, a read-only memory, a magnetic disk or optical disk, etc.
The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings 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 nonvolatile 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 disk. 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. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC for short). The processor and the storage medium may reside as discrete components in an electronic device or a master device.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.

Claims (6)

1. A method for identifying plastic mudstone under a super-thick dense gravel layer, which is characterized by comprising the following steps:
acquiring rock to be identified;
determining whether the rock to be identified is a regional cover layer according to the field outcrop data, logging data and microscopic analysis data of the rock to be identified;
if the rock to be identified is the regional cover layer, drilling data of the rock to be identified meets a first preset condition, and logging data meets a second preset condition, determining that the rock to be identified is plastic mudstone under a huge thick compact gravel stratum;
the first preset condition is that drilling data change and obvious abnormality occur in the drilling process, and rock shapes are plastic and in a lump shape;
the second preset condition is that the resistivity is less than or equal to 5 ohms, and the acoustic wave time difference is more than or equal to 80 microseconds;
classifying the plasticity degree of the rock to be identified according to the classification identification diagram of the plastic mudstone and the section diagram of the rock to be identified;
obtaining a sample of the huge thick dense conglomerate;
acquiring a spatial distribution map of the huge thick dense conglomerate sample and a speed difference between lithology of the huge thick dense conglomerate sample;
updating a spatial distribution map of the huge thick dense conglomerate sample according to the speed difference between lithology of the huge thick dense conglomerate sample;
and establishing a grading identification chart of the plastic mudstone under the ultra-thick compact conglomerate according to the drilling data of the ultra-thick compact conglomerate sample.
2. The method of claim 1, wherein prior to establishing a hierarchical identification map of plastic mudstones under the ultra-thick dense conglomerate based on drilling data of the ultra-thick dense conglomerate sample, the method further comprises:
and establishing an identification intersection graph of the plastic mudstone according to the logging data of the huge thick and dense conglomerate sample and the updated spatial distribution graph of the huge thick and dense conglomerate sample.
3. An identification device for plastic mudstone under a super-thick dense gravel stratum, which is characterized by comprising:
the acquisition module is used for acquiring the rock to be identified;
the determining module is used for determining whether the rock to be identified is a regional cover layer or not according to the field outcrop data, logging data and microscopic analysis data of the rock to be identified;
the determining module is further configured to determine that the rock to be identified is plastic mudstone under the ultra-thick dense gravel layer if the rock to be identified is the regional cover layer, drilling data of the rock to be identified meets a first preset condition, and logging data meets a second preset condition;
the first preset condition is that drilling data change and obvious abnormality occur in the drilling process, and rock shapes are plastic and in a lump shape;
the second preset condition is that the resistivity is less than or equal to 5 ohms, and the acoustic wave time difference is more than or equal to 80 microseconds;
the apparatus further comprises a processing module:
the processing module is used for 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 acquisition module is also used for acquiring a huge thick compact conglomerate sample; acquiring a spatial distribution map of the huge thick dense conglomerate sample and a speed difference between lithology of the huge thick dense conglomerate sample; the processing module is further used for updating the spatial distribution diagram of the huge thick dense conglomerate sample according to the speed difference between lithology of the huge thick dense conglomerate sample; and establishing a grading identification chart of the plastic mudstone under the ultra-thick compact conglomerate according to the drilling data of the ultra-thick compact conglomerate sample.
4. The apparatus of claim 3, wherein the processing module is further to:
and establishing an identification intersection graph of the plastic mudstone according to the logging data of the huge thick and dense conglomerate sample and the updated spatial distribution graph of the huge thick and dense conglomerate sample.
5. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the method of identifying plastic mudstones under a ultra-thick tight gravel layer as set forth in claim 1 or 2.
6. A computer readable storage medium having stored therein computer executable instructions which, when executed by a processor, implement the method of identifying plastic mudstones under a ultra-thick tight gravel layer as claimed in claim 1 or 2.
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