CN113719268B - Well interval interlayer prediction method, well interval interlayer prediction device, electronic equipment and medium - Google Patents
Well interval interlayer prediction method, well interval interlayer prediction device, electronic equipment and medium Download PDFInfo
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- 239000011229 interlayer Substances 0.000 title claims abstract description 93
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- 239000010410 layer Substances 0.000 claims abstract description 70
- 238000012937 correction Methods 0.000 claims abstract description 23
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- 238000011160 research Methods 0.000 abstract description 5
- 230000007480 spreading Effects 0.000 abstract description 3
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- 238000005516 engineering process Methods 0.000 description 2
- 239000012530 fluid Substances 0.000 description 2
- 239000003208 petroleum Substances 0.000 description 2
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing 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
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/30—Assessment of water resources
Abstract
A well interval interlayer prediction method, device, electronic equipment and medium are disclosed. The method may include: determining a comparison well, establishing an initial stratum model, and determining a quantitative interpretation standard of a compartment layer; performing TVD correction on a logging curve of a target well, and comparing the TVD correction with a comparison well to determine a target layer of the target well; adjusting the interrelation between the initial stratum model and the borehole track of the target well to obtain a stratum model of the target well; identifying the position of a well through shaft of the interlayer on the well track according to the interlayer quantitative interpretation standard; and inverting the trend of the interlayer along the well track according to the well shaft position of the interlayer, the well track and the stratum model of the target well. According to the method, the interlayer of the well passing shaft on the horizontal well track is identified through the rock core, the vertical well and the horizontal well information, the plane spreading range of the interlayer is effectively determined, the inter-well prediction precision of the interlayer is improved, and a basis is provided for the later-period residual oil distribution research.
Description
Technical Field
The invention relates to the field of petroleum geology and petroleum engineering, in particular to a well interval interlayer prediction method, a well interval interlayer prediction device, electronic equipment and a medium.
Background
The residual oil is the key point and difficulty of the development work of the oil field after the oil field enters the middle and later stages of the development stage. The interlayer in the oil reservoir is one of important influencing factors influencing the distribution of residual oil and the movement rule of fluid, and the development of the interlayer can play a role in shielding and shielding the movement of the fluid, so that the identification and the spatial distribution prediction of the interlayer are important points and difficulties in developing the research of the heterogeneity of the oil reservoir, and have important significance in predicting the distribution of the residual oil.
Identification and prediction of the interlayer are always important points of researches of students, and qualitative identification or quantitative description of the interlayer of the vertical well is mature; the identification and thickness interpretation of single-well interlayer types are only basic, and the distribution characteristics of the interlayer in the inter-well oil reservoir are only key for evaluating residual oil; when comparing the wells, the interlayer is continuous or the pinch is often comprehensively judged through the spatial spreading or deposition conceptual model of outcrop; along with the progress of horizontal well drilling technology, more and more horizontal wells are adopted in the middle and later stages of development, compared with a vertical well, the horizontal well contains a large amount of stratum transverse change information, the distribution state of a track trend interlayer is determined by using the horizontal well information, and the method is very important for carrying out interlayer connection profile comparison by using the combination of the vertical well and the horizontal well and improving the geological rationality and effectiveness of spatial interlayer description.
The importance of horizontal well information is also noted in the prior art, for example, the spatial distribution rule of the Ha Sun Youtian well interval interlayer is researched by combining horizontal well information with vertical well information; predicting interlayer space distribution by using a method of joint control of a vertical well and a horizontal well; the method comprises the steps of constructing a comparison grid of a vertical well (section) and a horizontal well in the interlayer isolation and the like, and determining the type of the single well interlayer of the horizontal well and a quantitative interpretation standard according to the well logging response relationship of the vertical well and the horizontal well interlayer; the interlayer distribution of the horizontal well along the track direction is discussed. Because the current horizontal well data processing and interpretation technology is relatively lagged, the effective exertion of the horizontal well data in the interlayer identification and prediction is restricted, and the results of interlayer identification and interwell comparison research by using the horizontal well data are relatively less.
The existing achievements are comprehensively analyzed, the well interval interlayer prediction is mainly characterized by a method of combining vertical well calibration with geological modes or inter-well phase control, or the well interval interlayer prediction is carried out by utilizing seismic data according to the vertical well identification result, well logging curve information of the horizontal well is not considered in the methods, and in view of the fact that more and more horizontal wells are available at present, how to fully utilize the well logging information of the horizontal well to predict inter-well geological information is important.
Therefore, there is a need to develop a well interval inter-layer prediction method, apparatus, electronic device, and medium.
The information disclosed in the background section of the invention is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention provides a well interval interlayer prediction method, a well interval interlayer prediction device, electronic equipment and a medium, which can identify an interlayer passing through a well shaft on a horizontal well track through rock core, vertical well and horizontal well information, effectively determine the plane spreading range of the interlayer, improve the inter-well prediction precision of the interlayer, and provide a basis for the later residual oil distribution research.
In a first aspect, an embodiment of the present disclosure provides a well interval interlayer prediction method, including:
determining a comparison well, establishing an initial stratum model, and determining a quantitative interpretation standard of a compartment layer;
performing TVD correction on a logging curve of a target well, and comparing the TVD correction with the comparison well to determine a target layer of the target well;
adjusting the interrelation between the initial stratum model and the borehole track of the target well to obtain a target well stratum model;
identifying a position of a well passing shaft of the interlayer on the well track according to the interlayer quantitative interpretation standard;
and inverting the trend of the interlayer along the well track according to the well shaft passing position of the interlayer, the well track and the target well stratum model.
Preferably, establishing the initial formation model further comprises: subdividing the target layer according to the well logging curve of the comparison well and the slope change trend to obtain a plurality of subdivision layer interfaces; determining the thickness of each sub-layer, and inverting the resistivity of each sub-layer by using the measured resistivity curve of the comparison well.
Preferably, TVD correction is performed on a log of a target well, and determining a target layer of the target well in comparison to the comparison well comprises: projecting a logging curve to a vertical depth according to well deviation data of the target well, and determining logging curve response characteristics of the logging curve in a comparison well mode; and comparing the well logging curve response characteristic of the target well with the well logging curve response characteristic of a comparison well to determine a target layer of the target well.
Preferably, obtaining the target well formation model further comprises: and determining the thickness and the resistivity of the fine layering of the stratum model of the target well according to the wellbore track of the initial stratum model and the target well and the actual measurement curve of the target well.
Preferably, the comparison well is a pilot well or an adjacent well.
Preferably, the target well is a horizontal well.
As a specific implementation of an embodiment of the present disclosure,
in a second aspect, embodiments of the present disclosure also provide a well interval sandwich prediction apparatus, including:
the initial stratum model building module is used for determining a comparison well, building an initial stratum model and determining a quantitative interpretation standard of the interlayer;
the target layer determining module is used for carrying out TVD correction on a logging curve of a target well and comparing the TVD correction with the comparison well to determine a target layer of the target well;
the target well stratum model building module is used for adjusting the interrelation between the initial stratum model and the well track of the target well to obtain a target well stratum model;
the identification module is used for identifying the position of the well shaft passing through the interlayer on the well track according to the interlayer quantitative interpretation standard;
and the inversion module inverts the trend of the interlayer along the well track according to the well shaft passing position of the interlayer, the well track and the target well stratum model.
Preferably, establishing the initial formation model further comprises: subdividing the target layer according to the well logging curve of the comparison well and the slope change trend to obtain a plurality of subdivision layer interfaces; determining the thickness of each sub-layer, and inverting the resistivity of each sub-layer by using the measured resistivity curve of the comparison well.
Preferably, TVD correction is performed on a log of a target well, and determining a target layer of the target well in comparison to the comparison well comprises: projecting a logging curve to a vertical depth according to well deviation data of the target well, and determining logging curve response characteristics of the logging curve in a comparison well mode; and comparing the well logging curve response characteristic of the target well with the well logging curve response characteristic of a comparison well to determine a target layer of the target well.
Preferably, obtaining the target well formation model further comprises: and determining the thickness and the resistivity of the fine layering of the stratum model of the target well according to the wellbore track of the initial stratum model and the target well and the actual measurement curve of the target well.
Preferably, the comparison well is a pilot well or an adjacent well.
Preferably, the target well is a horizontal well.
In a third aspect, embodiments of the present disclosure further provide an electronic device, including:
a memory storing executable instructions;
a processor executing the executable instructions in the memory to implement the well interval inter-layer prediction method.
In a fourth aspect, the disclosed embodiments also provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the well interval inter-layer prediction method.
The method and apparatus of the present invention have other features and advantages which will be apparent from or are set forth in detail in the accompanying drawings and the following detailed description, which are incorporated herein, and which together serve to explain certain principles of the present invention.
Drawings
The foregoing and other objects, features and advantages of the invention will be apparent from the following more particular descriptions of exemplary embodiments of the invention as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout the exemplary embodiments of the invention.
FIG. 1 shows a flow chart of the steps of a well interval inter-layer prediction method according to one embodiment of the invention.
FIG. 2 shows a schematic diagram of an initial formation model according to one embodiment of the invention.
Fig. 3 shows a schematic diagram of a compartment quantitative interpretation standard according to an embodiment of the invention.
FIG. 4 shows a schematic diagram of a packer well cross-well axis location of a target well in accordance with an embodiment of the invention.
FIG. 5 shows a schematic view of the course of a compartment along a wellbore trajectory according to one embodiment of the invention.
FIG. 6 illustrates a block diagram of a well interval inter-layer prediction device, according to one embodiment of the invention.
Reference numerals illustrate:
201. an initial stratum model building module; 202. a destination layer determining module; 203. a target well stratum model building module; 204. an identification module; 205. and an inversion module.
Detailed Description
Preferred embodiments of the present invention will be described in more detail below. While the preferred embodiments of the present invention are described below, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein.
The invention provides a well interval interlayer prediction method, which comprises the following steps:
determining a comparison well, establishing an initial stratum model, and determining a quantitative interpretation standard of a compartment layer;
in one example, the comparison well is a pilot well or an adjacent well; in one example, establishing the initial formation model further includes: subdividing the target layer according to the well logging curve of the comparison well, such as natural gamma, resistivity and the like, according to the slope change trend, obtaining a plurality of subdivision layer interfaces, and giving the well logging value to an initial stratum model according to the sampling interval depth of the well logging curve; determining the thickness of each fine layer, and inverting the resistivity of each fine layer by a least square method by utilizing the measured resistivity curve of the comparison well.
And analyzing the logging response characteristics of the compartments according to the comparative well coring descriptive data, selecting a curve sensitive to compartment identification, and determining the standard for identifying different compartments by drawing intersection graphs (such as gamma-resistivity intersection graphs) of different logging curves.
Performing TVD correction on a logging curve of a target well, and comparing the TVD correction with a comparison well to determine a target layer of the target well; in one example, the target well is a horizontal well; in one example, TVD correction is performed for a log of a target well, and determining a destination layer of the target well as compared to a comparison well includes: projecting the logging curve to a vertical depth according to well deviation data of a target well, and determining logging curve response characteristics of the logging curve in a comparison well mode; and comparing the well logging curve response characteristic of the target well with the well logging curve response characteristic of the comparison well to determine a target layer of the target well.
Expanding the initial stratum model along the well track of the target well, and determining the stratum tendency according to regional seismic data or structural drawings and other data; the inclination, thickness and position relation with the well track of the initial stratum model are regulated, the logging value of the initial stratum model is compared with the actually measured logging value of the target well, and when the values of the initial stratum model and the actually measured logging value of the target well are basically consistent or the value change trend is consistent, the logging value of the initial stratum model is consistent with the well track of the target well, so that the stratum model of the target well is obtained; in one example, obtaining the target well formation model further comprises: and determining the thickness and the resistivity of the fine layering of the stratum model of the target well according to the wellbore track of the initial stratum model and the target well and the actual measurement curve of the target well.
And according to the quantitative interpretation standard of the interval layer, combining the response characteristics of the logging curve of the target well, and identifying the position of the interval layer passing through the well shaft on the well track.
Inverting the trend of the interlayer along the well track according to the well shaft position of the interlayer, the thickness of the thin layers of the well track and the stratum model of the target well, the resistivity of the thin layers, a horizontal well resistivity logging curve, resistivity logging instrument parameters, the detection range of the instrument and the like, wherein the instrument parameters comprise: instrument length, instrument radius, electrode spacing (or coil), operating frequency, etc.
The invention also provides a well interval interlayer prediction device, which comprises:
the initial stratum model building module is used for determining a comparison well, building an initial stratum model and determining a quantitative interpretation standard of the interlayer; in one example, establishing the initial formation model further includes: subdividing the target layer according to the well logging curve of the comparison well, such as natural gamma, resistivity and the like, according to the slope change trend, obtaining a plurality of subdivision layer interfaces, and giving the well logging value to an initial stratum model according to the sampling interval depth of the well logging curve; determining the thickness of each fine layer, and inverting the resistivity of each fine layer by a least square method by utilizing the measured resistivity curve of the comparison well.
And analyzing the logging response characteristics of the compartments according to the comparative well coring descriptive data, selecting a curve sensitive to compartment identification, and determining the standard for identifying different compartments by drawing intersection graphs (such as gamma-resistivity intersection graphs) of different logging curves.
The target layer determining module is used for correcting the TVD according to the logging curve of the target well and comparing the TVD with the comparison well to determine the target layer of the target well; in one example, the target well is a horizontal well; in one example, TVD correction is performed for a log of a target well, and determining a destination layer of the target well as compared to a comparison well includes: projecting the logging curve to a vertical depth according to well deviation data of a target well, and determining logging curve response characteristics of the logging curve in a comparison well mode; and comparing the well logging curve response characteristic of the target well with the well logging curve response characteristic of the comparison well to determine a target layer of the target well.
The target well stratum model building module is used for unfolding the initial stratum model along the track of the target well hole and determining the stratum tendency according to regional seismic data or a structural diagram and other data; the inclination, thickness and position relation with the well track of the initial stratum model are regulated, the logging value of the initial stratum model is compared with the actually measured logging value of the target well, and when the values of the initial stratum model and the actually measured logging value of the target well are basically consistent or the value change trend is consistent, the logging value of the initial stratum model is consistent with the well track of the target well, so that the stratum model of the target well is obtained; in one example, obtaining the target well formation model further comprises: and determining the thickness and the resistivity of the fine layering of the stratum model of the target well according to the wellbore track of the initial stratum model and the target well and the actual measurement curve of the target well.
And the identification module is used for identifying the position of the well passing shaft of the interlayer on the well track according to the quantitative interpretation standard of the interlayer and combining the response characteristics of the well logging curve of the target well.
The inversion module inverts the trend of the interlayer along the well track according to the well shaft position of the interlayer, the thickness of the thin layers of the well track and the stratum model of the target well, the resistivity of the thin layers, a horizontal well resistivity logging curve, the resistivity logging instrument parameter, the detection range of the instrument and the like, wherein the instrument parameter comprises: instrument length, instrument radius, electrode spacing (or coil), operating frequency, etc.
The present invention also provides an electronic device including: a memory storing executable instructions; and a processor executing executable instructions in the memory to implement the well interval interlayer prediction method.
The invention also provides a computer readable storage medium storing a computer program which when executed by a processor implements the above-described well interval inter-layer prediction method.
In order to facilitate understanding of the solution and the effects of the embodiments of the present invention, four specific application examples are given below. It will be understood by those of ordinary skill in the art that the examples are for ease of understanding only and that any particular details thereof are not intended to limit the present invention in any way.
Example 1
FIG. 1 shows a flow chart of the steps of a well interval inter-layer prediction method according to one embodiment of the invention.
FIG. 2 shows a schematic diagram of an initial formation model according to one embodiment of the invention.
Fig. 3 shows a schematic diagram of a compartment quantitative interpretation standard according to an embodiment of the invention.
FIG. 4 shows a schematic diagram of a packer well cross-well axis location of a target well in accordance with an embodiment of the invention.
FIG. 5 shows a schematic view of the course of a compartment along a wellbore trajectory according to one embodiment of the invention.
As shown in fig. 1, the well interval interlayer prediction method includes:
step 101, determining a comparison well, establishing an initial stratum model, and determining a quantitative interpretation standard of a compartment layer; in one example, the comparison well is a pilot well or an adjacent well; in one example, establishing the initial formation model further includes: subdividing the target layer according to a well logging curve of the comparison well and the slope change trend to obtain a plurality of subdivision layer interfaces; determining the thickness of each fine layering, inverting the resistivity of each fine layering by using the measured resistivity curve of a comparison well, wherein a fifth step-shaped curve of the graph 2 is the formation resistivity value of each inverted fine layering, each step represents the interface of the fine layering, a sixth step is a formation model, and the color depth represents the formation resistivity value.
The intersection of the density curve and the gamma curve with the variation amplitude value (delta DEN/delta GR) can effectively and quantitatively identify and divide various interlayers, and the variation amplitude value delta DEN=DEN-DEN of the density curve Base value Gamma rayAmplitude of change value Δgr=gr-GR of curve Base value DEN in this embodiment Base value ＝2.37g/cm 3 ，GR Base value =64.8 API; according to the DeltaDEN/DeltaGR intersection shown in FIG. 3, when DeltaDEN>0.02, and DeltaGR<At 6 is a calcareous interlayer, deltaDEN<0.02, or DeltaGR>And 6, a muddy interlayer.
102, performing TVD correction on a logging curve of a target well, and comparing the TVD correction with a comparison well to determine a target layer of the target well; in one example, the target well is a horizontal well; in one example, TVD correction is performed for a log of a target well, and determining a destination layer of the target well as compared to a comparison well includes: projecting the logging curve to a vertical depth according to well deviation data of a target well, and determining logging curve response characteristics of the logging curve in a comparison well mode; and comparing the well logging curve response characteristic of the target well with the well logging curve response characteristic of the comparison well to determine a target layer of the target well.
Step 103, adjusting the interrelation between the initial stratum model and the well track of the target well to obtain a stratum model of the target well; in one example, obtaining the target well formation model further comprises: and determining the thickness and the resistivity of the fine layering of the stratum model of the target well according to the wellbore track of the initial stratum model and the target well and the actual measurement curve of the target well.
Step 104, identifying the position of the interlayer crossing shaft on the well track according to the interlayer quantitative interpretation standard, wherein the cross section area is the intersection point of the interlayer interface and the track, as shown in the 5 th path from top to bottom in fig. 4.
Step 105, inverting the trend of the interlayer along the well track according to the well shaft position of the interlayer, the well track and the stratum model of the target well, wherein the inversion result is shown in fig. 5.
Example 2
FIG. 6 illustrates a block diagram of a well interval inter-layer prediction device, according to one embodiment of the invention.
As shown in fig. 6, the well interval sandwich prediction apparatus includes:
an initial stratum model establishing module 201 for determining a comparison well, establishing an initial stratum model and determining a quantitative interpretation standard of a compartment layer; in one example, the comparison well is a pilot well or an adjacent well; in one example, establishing the initial formation model further includes: subdividing the target layer according to a well logging curve of the comparison well and the slope change trend to obtain a plurality of subdivision layer interfaces; determining the thickness of each sub-layer, and inverting the resistivity of each sub-layer by using the measured resistivity curve of the comparison well.
The target layer determining module 202 performs TVD correction on a logging curve of the target well, and compares the TVD correction with a comparison well to determine a target layer of the target well; in one example, the target well is a horizontal well; in one example, TVD correction is performed for a log of a target well, and determining a destination layer of the target well as compared to a comparison well includes: projecting the logging curve to a vertical depth according to well deviation data of a target well, and determining logging curve response characteristics of the logging curve in a comparison well mode; and comparing the well logging curve response characteristic of the target well with the well logging curve response characteristic of the comparison well to determine a target layer of the target well.
The target well stratum model building module 203 adjusts the interrelation between the initial stratum model and the wellbore track of the target well to obtain a target well stratum model; in one example, obtaining the target well formation model further comprises: and determining the thickness and the resistivity of the fine layering of the stratum model of the target well according to the wellbore track of the initial stratum model and the target well and the actual measurement curve of the target well.
The identifying module 204 is used for identifying the position of the well passing shaft of the interlayer on the well track according to the quantitative interpretation standard of the interlayer;
inversion module 205 inverts the course of the interval along the wellbore trajectory based on the interval through-wellbore axis position, the wellbore trajectory, and the target well formation model.
Example 3
The present disclosure provides an electronic device including: a memory storing executable instructions; a processor executing executable instructions in the memory to implement the well interval inter-layer prediction method described above.
An electronic device according to an embodiment of the present disclosure includes a memory and a processor.
The memory is for storing non-transitory computer readable instructions. In particular, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like.
The processor may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the electronic device to perform the desired functions. In one embodiment of the present disclosure, the processor is configured to execute the computer readable instructions stored in the memory.
It should be understood by those skilled in the art that, in order to solve the technical problem of how to obtain a good user experience effect, the present embodiment may also include well-known structures such as a communication bus, an interface, and the like, and these well-known structures are also included in the protection scope of the present disclosure.
The detailed description of the present embodiment may refer to the corresponding description in the foregoing embodiments, and will not be repeated herein.
Example 4
Embodiments of the present disclosure provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the well interval inter-layer prediction method.
A computer-readable storage medium according to an embodiment of the present disclosure has stored thereon non-transitory computer-readable instructions. When executed by a processor, perform all or part of the steps of the methods of embodiments of the present disclosure described above.
The computer-readable storage medium described above includes, but is not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or removable hard disk), media with built-in rewritable non-volatile memory (e.g., memory card), and media with built-in ROM (e.g., ROM cartridge).
It will be appreciated by persons skilled in the art that the above description of embodiments of the invention has been given for the purpose of illustrating the benefits of embodiments of the invention only and is not intended to limit embodiments of the invention to any examples given.
The foregoing description of embodiments of the invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described.
Claims (5)
1. A method of well interval inter-layer prediction, comprising:
determining a comparison well, establishing an initial stratum model, and determining a quantitative interpretation standard of a compartment layer;
performing TVD correction on a logging curve of a target well, and comparing the TVD correction with the comparison well to determine a target layer of the target well;
adjusting the interrelation between the initial stratum model and the borehole track of the target well to obtain a target well stratum model;
identifying a position of a well passing shaft of the interlayer on the well track according to the interlayer quantitative interpretation standard;
inverting the trend of the interlayer along the well track according to the well shaft passing position of the interlayer, the well track and the target well stratum model;
the comparison well is a pilot well or an adjacent well, and the target well is a horizontal well;
wherein, establishing the initial formation model further comprises: subdividing the target layer according to the slope change trend according to the well logging curve of the comparison well to obtain a plurality of subdivision layer interfaces, and giving the well logging value to the initial stratum model according to the sampling interval depth of the well logging curve; determining the thickness of each fine layer, inverting the resistivity of each fine layer by a least square method by utilizing the measured resistivity curve of the comparison well;
the initial stratum model is unfolded along the well track of the target well, and the stratum tendency is determined according to regional seismic data or a structural diagram; the inclination, thickness and position relation with the well track of the initial stratum model are regulated, the logging value of the initial stratum model is compared with the actually measured logging value of the target well, and when the values of the initial stratum model and the actually measured logging value of the target well are basically consistent or the value change trend is consistent, the logging value of the initial stratum model is consistent with the well track of the target well, so that the stratum model of the target well is obtained;
wherein obtaining the target well stratigraphic model further comprises: and determining the thickness and the resistivity of the fine layering of the stratum model of the target well according to the wellbore track of the initial stratum model and the target well and the actual measurement curve of the target well.
2. The well interval inter-layer prediction method of claim 1, wherein TVD correction is performed for a log of a target well, determining a destination layer of the target well as compared to the comparison well comprises:
projecting a logging curve to a vertical depth according to well deviation data of the target well, and determining logging curve response characteristics of the logging curve in a comparison well mode;
and comparing the well logging curve response characteristic of the target well with the well logging curve response characteristic of a comparison well to determine a target layer of the target well.
3. A well interval sandwich prediction apparatus, comprising:
the initial stratum model building module is used for determining a comparison well, building an initial stratum model and determining a quantitative interpretation standard of the interlayer;
the target layer determining module is used for carrying out TVD correction on a logging curve of a target well and comparing the TVD correction with the comparison well to determine a target layer of the target well;
the target well stratum model building module is used for adjusting the interrelation between the initial stratum model and the well track of the target well to obtain a target well stratum model;
the identification module is used for identifying the position of the well shaft passing through the interlayer on the well track according to the interlayer quantitative interpretation standard;
the inversion module inverts the trend of the interlayer along the well track according to the well shaft passing position of the interlayer, the well track and the target well stratum model;
the comparison well is a pilot well or an adjacent well, and the target well is a horizontal well;
wherein, establishing the initial formation model further comprises: subdividing the target layer according to the slope change trend according to the well logging curve of the comparison well to obtain a plurality of subdivision layer interfaces, and giving the well logging value to the initial stratum model according to the sampling interval depth of the well logging curve; determining the thickness of each fine layer, inverting the resistivity of each fine layer by a least square method by utilizing the measured resistivity curve of the comparison well;
the initial stratum model is unfolded along the well track of the target well, and the stratum tendency is determined according to regional seismic data or a structural diagram; the inclination, thickness and position relation with the well track of the initial stratum model are regulated, the logging value of the initial stratum model is compared with the actually measured logging value of the target well, and when the values of the initial stratum model and the actually measured logging value of the target well are basically consistent or the value change trend is consistent, the logging value of the initial stratum model is consistent with the well track of the target well, so that the stratum model of the target well is obtained;
wherein obtaining the target well stratigraphic model further comprises: and determining the thickness and the resistivity of the fine layering of the stratum model of the target well according to the wellbore track of the initial stratum model and the target well and the actual measurement curve of the target well.
4. An electronic device, the electronic device comprising:
a memory storing executable instructions;
a processor executing the executable instructions in the memory to implement the inter-well space inter-layer prediction method of claim 1 or 2.
5. A computer readable storage medium, characterized in that it stores a computer program which, when executed by a processor, implements the inter-well space prediction method according to claim 1 or 2.
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