CN117388943A - Identification method of fracture structure unit - Google Patents
Identification method of fracture structure unit Download PDFInfo
- Publication number
- CN117388943A CN117388943A CN202210785613.5A CN202210785613A CN117388943A CN 117388943 A CN117388943 A CN 117388943A CN 202210785613 A CN202210785613 A CN 202210785613A CN 117388943 A CN117388943 A CN 117388943A
- Authority
- CN
- China
- Prior art keywords
- fracture
- curve
- identification
- sensitive
- identifying
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 74
- 230000004044 response Effects 0.000 claims abstract description 38
- 238000011160 research Methods 0.000 claims abstract description 32
- 238000003860 storage Methods 0.000 claims abstract description 10
- 239000011435 rock Substances 0.000 claims description 56
- 238000010839 reverse transcription Methods 0.000 claims description 36
- 238000005553 drilling Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 13
- 238000005336 cracking Methods 0.000 claims description 10
- 238000010276 construction Methods 0.000 claims description 8
- 238000005259 measurement Methods 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000011161 development Methods 0.000 description 18
- 230000008569 process Effects 0.000 description 10
- 238000012545 processing Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 8
- 230000001939 inductive effect Effects 0.000 description 7
- 230000007547 defect Effects 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 230000000694 effects Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 230000002093 peripheral effect Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 230000001965 increasing effect Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000000047 product Substances 0.000 description 2
- 230000000630 rising effect Effects 0.000 description 2
- 239000002002 slurry Substances 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 description 1
- 208000019888 Circadian rhythm sleep disease Diseases 0.000 description 1
- 208000001456 Jet Lag Syndrome Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 239000007795 chemical reaction product Substances 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 235000021185 dessert Nutrition 0.000 description 1
- 229910021389 graphene Inorganic materials 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 208000033915 jet lag type circadian rhythm sleep disease Diseases 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000011022 operating instruction Methods 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/15—Correlation function computation including computation of convolution operations
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Computing Systems (AREA)
- Algebra (AREA)
- Life Sciences & Earth Sciences (AREA)
- Geophysics (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention provides a method and a device for identifying a fracture structure unit, a computer readable storage medium and electronic equipment. The method comprises determining a fracture structure unit of a study area; determining a sensitive well-logging curve and a sensitive well-logging response characteristic which can be used for identifying different types of structural units according to a conventional well-logging curve of a research area; qualitatively identifying the fracture structure unit of the research area by utilizing the overlapping amplitude difference of the sensitive logging curve and the value of the sensitive logging response characteristic; constructing a quantitative identification curve capable of being used for identifying different types of structural units based on the sensitive log curve; establishing identification standards of different types of structural units based on the overlapping amplitude differences of the sensitive logging curves of the different types of structural units and the values of the quantitative identification curves; and quantitatively dividing the structural units of the fracture body of the research area by utilizing the identification standards of the structural units of different types. The structural unit identification method provided by the invention can greatly improve the accuracy of the well logging technology in fracture oil reservoir identification.
Description
Technical Field
The invention relates to the technical field of oil and gas exploration logging, in particular to a method and a device for identifying a fracture structure unit suitable for tight sandstone, a computer readable storage medium and electronic equipment.
Background
The fracture body is the most dominant "dessert" type of the Erdos basin long 8 dense oil, the formation of which is controlled by the slip fracture system. According to the development degree of fracture, the type of reservoir space and the difference of permeability, the internal structural unit of the fracture body is divided into a sliding breaking belt and a crack inducing belt, and the outside of the fracture body is a raw rock belt mainly made of compact sandstone. The sliding fracture zone develops a fracture-hole type reservoir, oil gas enrichment is high in yield, and the sliding fracture zone is a main target of increasing the yield of a fracture reservoir. Therefore, the fracture structure unit is identified and divided, and the method has practical significance for identifying the high-quality reservoir of the compact oil and improving the exploration and development effects. At present, fracture body identification and division are mainly carried out by utilizing seismic data, and waveform continuity is poor, energy is weak and energy attribute is abnormal on a seismic section. However, due to the limitation of the resolution of the seismic data, the sliding fracture zone and the induced fracture zone cannot be well identified and divided, the defects of easy misjudgment and low identification accuracy exist, and the identification accuracy cannot achieve a satisfactory effect. In the early stage, a great number of horizontal wells are drilled by using 8 dense oil in the Huidos basin, and how to utilize a logging curve to identify and divide fracture sliding breaking zones, induced fracture zones and original rock zones, so as to establish a set of logging methods and standards suitable for identifying different structures of the fracture, and the difficult problem of oil reservoir exploration and development is always solved.
Disclosure of Invention
In view of the foregoing, embodiments of the present invention provide a method, an apparatus, a computer-readable storage medium, and an electronic device for identifying a fracture structure unit.
In a first aspect, an embodiment of the present invention provides a method for identifying a structural unit of a fracture body, including:
s100, determining a fracture structure unit of a research area; the fracture body structure unit at least comprises one of a sliding breaking belt, an induced cracking belt and a raw rock belt, wherein the sliding breaking belt and the induced cracking belt are positioned in the fracture body, and the raw rock belt is positioned outside the fracture body;
s200, calibrating a conventional logging curve of a research area according to the determined fracture body structural unit, and determining a sensitive logging curve and a sensitive logging response characteristic which can be used for identifying different types of structural units based on the conventional logging curve;
s300, qualitatively identifying a fracture structure unit of a research area by utilizing the overlapping amplitude difference of the sensitive logging curve and the value of the sensitive logging response characteristic;
s400, constructing a quantitative identification curve capable of being used for identifying different types of structural units based on the sensitive log curve;
s500, establishing identification standards of different types of structural units based on the overlapping amplitude differences of the sensitive logging curves of the different types of structural units and the values of quantitative identification curves;
s600, quantitatively dividing the structural units of the fracture body of the research area by utilizing the identification standards of the structural units of different types.
According to an embodiment of the invention, the sensitive log comprises an eight-sided resistivity log and a sonic moveout log; the sensitive logging response features comprise natural gamma logging response features, eight-lateral resistivity logging response features and acoustic wave time difference logging response features; the value of the quantitative identification curve is related to the product of the eight-side resistivity fracture-cavity identification index and the acoustic wave time difference fracture-cavity identification index.
According to an embodiment of the present invention, the step S100 includes: and determining a fracture body structural unit of the research area by using the rock core, the outcrop and the drilling data.
According to an embodiment of the present invention, the step S200 includes: and calibrating a conventional logging curve of the research area according to the determined fracture body structural units, and making a conventional logging curve intersection chart to obtain a sensitive logging curve and a sensitive logging response characteristic which can be used for identifying different types of structural units.
According to an embodiment of the present invention, the step S300 includes: constructing an overlap plate of the sensitive well logging curve to obtain an overlap amplitude difference of the sensitive well logging curve; and qualitatively identifying the fracture structure unit of the research area by utilizing the overlapping amplitude difference of the sensitive logging curve and the value of the sensitive logging response characteristic.
According to an embodiment of the present invention, the qualitative identification of the fracture structural unit of the investigation region by using the overlapping amplitude difference of the sensitive logging curve and the value of the sensitive logging response characteristic includes: identifying a sliding fracture zone and an induced fracture zone by using the overlapping amplitude difference of the sensitive logging curves; and identifying the primary rock zone by using the value of the sensitive logging response characteristic.
According to an embodiment of the present invention, the step S400 includes:
the quantitative recognition curve F is constructed as follows,
F＝I RT ×I AC
wherein F is the value of a quantitative recognition curve of a fracture structure unit, and is dimensionless; i RT The eight-lateral resistivity fracture-cavity identification index is dimensionless; i AC The method is characterized in that the method is a seam hole identification index of acoustic time difference, and is dimensionless;
wherein the eight-lateral resistivity fracture-cavity identification index I RT Is that
I RT ＝(RT max -RT)/(RT max -RT min )
Wherein I is RT The eight-lateral resistivity fracture-cavity identification index is dimensionless; RT (reverse transcription) method max To identify a wellMaximum value of resistivity curve in section, ohm; RT (reverse transcription) method min To identify a minimum value of the resistivity curve in the wellbore interval, ohmm; RT is an identification of resistivity measurements in the wellbore interval, ohm.
Wherein the acoustic time difference fracture-cavity identification index I AC Is that
I AC ＝(AC-AC min )/(AC max -AC min )
Wherein I is AC The method is characterized in that the method is a seam hole identification index of acoustic time difference, and is dimensionless; AC (alternating current) max In order to identify the maximum value of the acoustic time difference curve in the well section, us/m; AC (alternating current) min In order to identify the minimum value of the acoustic wave time difference curve in the well section, us/m; AC is a measurement identifying the acoustic time difference in the wellbore interval, us/m.
In a second aspect, the present invention also provides an apparatus, comprising:
the structure determining module is used for determining a fracture structure unit of the research area; the fracture body structure unit at least comprises one of a sliding breaking belt, an induced cracking belt and a raw rock belt, wherein the sliding breaking belt and the induced cracking belt are positioned in the fracture body, and the raw rock belt is positioned outside the fracture body;
the curve selection module is used for calibrating a conventional logging curve of a research area according to the determined fracture body structural unit and determining a sensitive logging curve and a sensitive logging response characteristic which can be used for identifying different types of structural units based on the conventional logging curve;
the qualitative identification module is used for qualitatively identifying the fracture structure unit of the research area by utilizing the overlapping amplitude difference of the sensitive logging curve and the value of the sensitive logging response characteristic;
the curve construction module is used for constructing a quantitative identification curve which can be used for identifying different types of structural units based on the sensitive logging curve;
the standard establishing module is used for establishing identification standards of different types of structural units based on the overlapping amplitude differences of the sensitive logging curves of the different types of structural units and the values of the quantitative identification curves;
and the quantitative division module is used for quantitatively dividing the fracture structure units of the research area by utilizing the identification standards of the different types of structure units.
In a third aspect, an embodiment of the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method for identifying a fracture structure unit as described in the first aspect.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement a method of identifying a fracture structure unit as described in the first aspect.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
the embodiment of the invention establishes the identification plates and the identification curves of different structural units by utilizing the horizontal well logging curves, forms a set of logging identification standards suitable for the fracture sliding fracture zone, the induced fracture zone and the original rock zone, and avoids the defects of easy misjudgment and low identification accuracy in the process of identifying and dividing the fracture structural units only by means of seismic data. The invention fully utilizes the advantage of high resolution of the logging curve, combines the qualitative identification of the overlapping of the construction curve and the quantitative identification of the construction structure unit curve, and greatly improves the accuracy of the logging technology in the identification and division of the fracture structure unit. The method has wide application range in field practice, has strong operability for identifying fault structural units of tight sandstone fracture oil reservoirs and carbonate fracture solution oil and gas reservoirs, and greatly improves the guiding effect on the exploration and development of oil and gas fields.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for identifying a fracture structure unit according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an identification of a fractured reservoir RT-AC structural unit according to a second embodiment of the present invention;
FIG. 3 is a schematic representation of the identification of a GR-AC structural unit of a fractured reservoir in accordance with a second embodiment of the present invention;
FIG. 4 is a graph showing the identification effect of different types of structural units of a fractured reservoir applied to a certain place according to the second embodiment of the present invention;
fig. 5 is a schematic diagram of an electronic device according to a fifth 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.
Example 1
The invention provides a method for identifying a fracture structure unit, and belongs to the field of petroleum exploration and development. The invention aims to overcome the defects of easiness in misjudgment and low identification accuracy in the process of identifying a fracture sliding broken belt, an induced fracture belt and a raw rock belt in the prior art method, and provides a rapid and effective fracture structural unit identification method based on a conventional logging curve.
As shown in fig. 1, the method for identifying a structural unit of a fracture body according to the first embodiment of the present invention mainly includes the following steps.
1. Different structural units for identifying and dividing fracture body by using rock core, outcrop and drilling data
And dividing a sliding breaking belt and a crack inducing belt by structural units in the fracture body according to lithology development characteristics, cracks, hole development degrees, drilling and leakage conditions by using coring and field outcrop observation results of the vertical well and the horizontal well in the sliding fault, wherein the outside of the fracture body is a raw rock belt.
2. Identification plate for establishing fracture structure unit
And calibrating conventional logging curves by using the sliding breaking zone, the induced fracture zone and the original rock zone identified by the rock core, the drilling time and the lost data, and manufacturing resistivity-acoustic time difference and natural gamma-acoustic time difference intersection plates to obtain logging response characteristic values of the sliding breaking zone, the induced fracture zone and the original rock zone. And overlapping the eight-side resistivity and the acoustic wave curve under a certain scale, and qualitatively identifying a sliding fracture zone of the sliding fault and an induced fracture zone and a raw rock zone according to the overlapped amplitude difference of the eight-side resistivity and the acoustic wave time difference curve.
3. Construction of a recognition curve for a structural unit of a fracture
The eight-lateral resistivity and sonic jet lag curve is a sensitive log curve for distinguishing the original rock zone, the induced fracture zone and the sliding fracture zone. And respectively constructing a resistivity fracture hole identification index IRT and a sound wave time difference fracture hole identification index IAC, amplifying response characteristics of the sliding fracture zone and the induced fracture zone, and combining the two to construct a quantitative identification curve F of different structural units of the fracture body.
4. Establishing identification standards of different structural units of fracture body
And (3) combining eight-lateral resistivity, overlapping amplitude difference of the sonic time difference curve and an identification curve value F, establishing qualitative and quantitative identification standards of the sliding fracture zone, the induced fracture zone and the original rock zone, and dividing different structural units of the single-well fracture body.
The method is based on fracture structure unit division, utilizes a horizontal well logging curve to establish identification patterns and identification curves of different structure units, forms a set of logging identification standards suitable for fracture sliding breaking zones, induced fracture zones and original rock zones, avoids the defects of easy misjudgment and low identification accuracy existing in the process of identifying and dividing fracture structure units only by means of seismic data in the prior art, can accurately and intuitively identify different structure units such as the sliding breaking zones, the induced fracture zones and the original rock zones, and can greatly improve the identification and division accuracy of the fracture structure units, and further guide the exploration and development work of fracture oil reservoirs.
Example two
The present invention is further described with respect to a certain sand group JH-X well as shown in FIGS. 2-4:
1. structural unit for identifying and dividing fracture body by using rock core, outcrop and drilling data
And (3) dividing the internal structural units of the fracture body into a sliding fracture belt and an induced fracture belt according to the lithology development characteristics, the development degree of the fracture and the hole and the drilling and leakage conditions by utilizing the coring and field outcrop observation results of the vertical well and the horizontal well in the sliding fault, wherein the external part of the fracture body is a raw rock belt.
The sliding fracture zone and the lithologic development characteristic of the induced fracture zone are as follows:
sliding breaking belt: the rock type is mainly fault breccia, broken rock, fault mud and other fault layer rocks, and the residual holes and corrosion holes which are the causes of intensive development cracks and mechanical collapse are mainly used;
inducing a fracture zone: the rock type is mainly sandstone, cracks are relatively developed, large holes are not developed, and the development degree of cracks far from the fault core is gradually reduced.
Raw rock belt: the rock type is mainly sandstone, and cracks and holes do not develop.
The characteristics of drilling, leakage and imaging of the sliding fracture zone and the induced fracture zone are as follows:
sliding breaking belt: the drilling time change is more than 20min/m, part of the wells are emptied, the slurry leakage is more than 20 square, or the loss-returning leakage occurs, the overflow is common, and the rising of the groove surface is obvious.
Inducing a fracture zone: the drilling time is reduced, the change is less than 20min/m, well leakage occurs, the slurry leakage is less than 20 square, and the groove surface slightly rises;
raw rock belt: the drilling time is unchanged, and the well leakage and the rising change of the groove surface are avoided.
2. Identification plate for establishing fracture structure unit
1) Establishing a logging intersection plate, and determining logging response characteristic values of a sliding fracture zone and an induced fracture zone
And (3) calibrating conventional logging curves by using the sliding breaking zone, the induced fracture zone and the original rock zone identified by the core, the drilling and leakage data, and reading 49 typical manufacturing resistivity-acoustic time difference and natural gamma-acoustic time difference intersection plates (figures 2 and 3) of 25 fractured reservoir horizontal wells in a research area of the Huidoss basin to obtain logging response characteristic values of the sliding breaking zone, the induced fracture zone and the original rock zone.
The logging response characteristic values of the sliding breaking belt, the induced fracture belt and the raw rock belt are as follows:
sliding breaking belt: natural gamma GR values less than 100API, eight lateral resistivities less than 40ohm m; the acoustic wave time difference AC value is greater than 250 mus/m.
Inducing a fracture zone: natural gamma GR values less than 100API, eight lateral resistivities greater than 30ohm m, less than 50ohm m; the acoustic wave time difference AC value is more than 235 mu s/m and less than 280 mu s/m;
raw rock belt: natural gamma GR values less than 100API, eight lateral resistivities greater than 50ohm m; the acoustic wave time difference AC value is more than 200 mu s/m and less than 240 mu s/m;
from the logging response characteristic analysis of the different structural units of the fracture body, the range value can better distinguish the original rock zone, but the sliding fracture zone and the induced fracture zone have certain overlapping on the sonic wave time difference and the eight-lateral resistivity threshold (see the shaded part of fig. 1), and cannot completely distinguish the two types of units.
2) Constructing eight-lateral resistivity and acoustic curve overlap plates, and qualitatively identifying sliding fracture zones and induced fracture zones
Aiming at the defects that a resistivity-acoustic wave time difference and natural gamma-acoustic wave time difference intersection plate cannot completely distinguish a sliding fracture zone from an induced fracture zone, eight lateral resistivity and acoustic wave curves are overlapped under a certain scale, and the sliding fracture zone and the induced fracture zone of a sliding fault are identified according to the overlapped amplitude difference of the eight lateral resistivity and acoustic wave time difference curves.
The eight-side resistivity and acoustic wave curve overlapping method is as follows:
and selecting a raw rock zone with the apparent thickness of more than 50m in the horizontal section, and overlapping the eight-lateral resistivity and the acoustic wave time difference curve. Wherein, the eight-side resistivity curve adopts a logarithmic scale, the left scale is 200ohm m, and the right scale is 20ohm m; the acoustic time difference curve adopts linear scale, and the basic scale value is: the left scale is 250 mu s/m, and the right scale is 150 mu s/m; .
If the scale is adopted, the eight-side resistivity and the acoustic wave time difference curve are not completely overlapped, the eight-side resistivity curve is fixed, the left scale value and the right scale value of the acoustic wave time difference curve are dynamically adjusted, and the adjustment method comprises the following steps: the left and right scales of the acoustic wave time difference are synchronously increased by 5 mu s/m each time, but the difference value of the left and right scales is kept unchanged by 100 mu s/m until the eight-side resistivity and the acoustic wave time difference curve are overlapped in the selected original rock zone.
3. Construction of a recognition curve for a structural unit of a fracture
The acoustic moveout and resistivity curves are most sensitive to the response of the seam and hole and are characterized by the obvious characteristics of increased acoustic moveout and reduced resistivity. The more the fracture and the hole develop in sequence from the original rock to the induced fracture band to the sliding fracture band, and the determined resistivity and sonic time difference curve is a sensitive logging curve for distinguishing the original rock band, the induced fracture band and the sliding fracture band. And respectively constructing a resistivity fracture hole identification index IRT and a sound wave time difference fracture hole identification index IAC, amplifying response characteristics of the sliding fracture zone and the induced fracture zone, and combining the two to construct a quantitative identification curve F of the fracture structural unit.
The construction method of the identification curve F of the different structural units of the fracture body is as follows:
1) The specific expression of the fracture structure unit identification curve F is
F＝I RT ×I AC (1)
Wherein F is a fracture structure unit identification curve value, and is dimensionless; i RT The resistivity fracture-cavity identification index is dimensionless; i AC The method is a seam hole identification index of acoustic time difference, and is dimensionless.
2) The resistivity fracture-cave identificationIndex I RT The specific expression of (2) is
I RT ＝(RT max -RT)/(RT max -RT min ) (2)
Wherein I is RT The resistivity fracture-cavity identification index is dimensionless; RT (reverse transcription) method max To identify a maximum value of the resistivity curve in the wellbore section, ohmm; RT (reverse transcription) method min To identify a minimum value of the resistivity curve in the wellbore interval, ohmm; RT is an identification of resistivity measurements in the wellbore interval, ohm.
3) The acoustic time difference fracture-cavity identification index I AC The specific expression of (2) is
I AC ＝(AC-AC min )/(AC max -AC min ) (3)
Wherein I is AC The method is characterized in that the method is a seam hole identification index of acoustic time difference, and is dimensionless; AC (alternating current) max In order to identify the maximum value of the acoustic time difference curve in the well section, us/m; AC (alternating current) min In order to identify the minimum value of the acoustic wave time difference curve in the well section, us/m; AC is a measured value of acoustic time difference in the identification well section, us/m;
4. establishing identification standards of different structural units of fracture body
And (3) combining eight-lateral resistivity, overlapping amplitude difference of the sonic time difference curve and an identification curve value F, establishing qualitative and quantitative identification standards of the sliding fracture zone, the induced fracture zone and the original rock zone, and dividing different structural units of the single-well fracture body.
The identification standards of different structural units of the fracture body are as follows:
1) Sliding breaking belt: the eight-side resistivity and the acoustic wave time difference curve generate large amplitude difference; the identification curve F of the structural unit of the fracture body is more than or equal to 0.2.
2) Inducing a fracture zone: the eight-side resistivity and acoustic wave time difference curve generate a medium amplitude difference; the identification curve of the structural unit of the fracture body is 0.1< F <0.2;
3) Raw rock belt: the eight-side resistivity and the acoustic wave time difference curve are basically overlapped, and no amplitude difference exists; the identification curve F of the structural unit of the fracture body is less than or equal to 0.1.
And selecting different structural unit identification effect graphs of the crack body of the JH-X well of the sand layer group of a certain region of the Erdos basin shown in fig. 4 to illustrate the identification result. The sixth trace in FIG. 4 is the overlapping trace of the AC-LL8 curve, and the seventh trace is the structural unit identification curve and the identification conclusion. The wells 1620-2020 m are horizontal well sections to be identified for the fracture body building blocks.
Layer 6 of 1960-2015m is selected as an eight-lateral resistivity and acoustic wave time difference curve overlapping section. Wherein, the eight-side resistivity curve adopts a logarithmic scale, the left scale is 200ohm m, and the right scale is 20ohm m; the acoustic time difference curve adopts linear scale, and the basic scale value is: the left scale is 250 mu s/m, and the right scale is 150 mu s/m; .
1620-2020 m well Duan Douqu eight lateral resistivity with a maximum of 130ohm m and a minimum of 10ohm m; and the maximum value 330us/m and the minimum value 180us/m of the acoustic time difference are respectively substituted into the resistivity fracture hole identification index IRT and the acoustic time difference fracture hole identification index IAC expression, and the fracture structural unit identification curve F of the well section is calculated.
According to the identification standards of different structural units of the fracture body, the identification results are as follows:
layer 3: the AC-LL8 curve is overlapped with a large amplitude difference, and the average value of the fracture structure unit identification curve F is equal to 0.32, and the slip breaking belt is judged;
2. layer 4: the AC-LL8 curve is overlapped with medium amplitude difference, and the fracture structure unit identification curve F is respectively equal to 0.15 and 0.18, and is judged to be an induced fracture zone;
1. layer 5, 6: the overlapping amplitude difference of the AC-LL8 curve is smaller or almost no amplitude difference, and the fracture structure unit identification curves F are respectively equal to 0.08, 0.06 and 0.02 and are judged to be the original rock zone.
The identification result of the fracture structure unit is consistent with the core observation and imaging logging result, so that the feasibility and effectiveness of the identification method are fully illustrated, and a technical basis is provided for the exploration and development work of the oil and gas reservoirs.
The invention relates to a technical method for identifying a fracture structure unit by utilizing a conventional well logging curve of a horizontal well, belonging to the innovation of scientific research methods in the field of exploration and development of tight sandstone fracture oil reservoirs. Firstly, the structural units in the fracture body are divided into two parts of a sliding fracture zone and a fracture zone for inducing the fracture by using the coring and field outcrop observation results of the vertical well and the horizontal well in the sliding fault according to lithology development characteristics, cracks and hole development degrees, drilling and leakage conditions, wherein the outside of the fracture body is a raw rock zone. And calibrating conventional logging curves by using the sliding breaking zone, the induced fracture zone and the original rock zone identified by the rock core, the drilling time and the lost data, and manufacturing resistivity-acoustic time difference and natural gamma-acoustic time difference intersection plates to obtain logging response characteristic values of the sliding breaking zone, the induced fracture zone and the original rock zone. And overlapping the eight-side resistivity and the acoustic wave curve under a certain scale, and qualitatively identifying a sliding fracture zone of the sliding fault and an induced fracture zone and a raw rock zone according to the overlapped amplitude difference of the eight-side resistivity and the acoustic wave time difference curve. And respectively constructing a resistivity fracture hole identification index IRT and a sound wave time difference fracture hole identification index IAC, amplifying response characteristics of the sliding fracture zone and the induced fracture zone, and combining the two to construct a quantitative identification curve F of different structural units of the fracture body. And combining eight-lateral resistivity, overlapping amplitude difference of acoustic time difference curves and identification curve value F, establishing qualitative and quantitative identification standards of the sliding fracture zone, the induced fracture zone and the original rock zone, and dividing different structural units of the single-well fracture body.
The invention avoids the defects of easy misjudgment and low recognition accuracy in the process of recognizing and dividing the structural units of the fracture body only by the seismic data, and the established recognition plate and standard can accurately and intuitively recognize different structural units such as the sliding broken belt, the induced fracture belt, the original rock belt and the like, and can greatly improve the recognition and division accuracy of the structural units of the fracture body, thereby guiding the exploration and development work of the fracture body oil reservoir.
Example III
The following are examples of the apparatus of the present invention that may be used to perform the method embodiments of the present invention. For details not disclosed in the embodiments of the apparatus of the present invention, please refer to the embodiments of the method of the present invention.
The embodiment provides an identification device of a fracture body structural unit, which is characterized by comprising:
the structure determining module is used for determining a fracture structure unit of the research area; the fracture body structure unit at least comprises one of a sliding breaking belt, an induced cracking belt and a raw rock belt, wherein the sliding breaking belt and the induced cracking belt are positioned in the fracture body, and the raw rock belt is positioned outside the fracture body;
the curve selection module is used for calibrating a conventional logging curve of a research area according to the determined fracture body structural unit and determining a sensitive logging curve and a sensitive logging response characteristic which can be used for identifying different types of structural units based on the conventional logging curve;
the qualitative identification module is used for qualitatively identifying the fracture structure unit of the research area by utilizing the overlapping amplitude difference of the sensitive logging curve and the value of the sensitive logging response characteristic;
the curve construction module is used for constructing a quantitative identification curve which can be used for identifying different types of structural units based on the sensitive logging curve;
the standard establishing module is used for establishing identification standards of different types of structural units based on the overlapping amplitude differences of the sensitive logging curves of the different types of structural units and the values of the quantitative identification curves;
and the quantitative division module is used for quantitatively dividing the fracture structure units of the research area by utilizing the identification standards of the different types of structure units.
Example IV
The present embodiment provides a computer-readable medium having stored thereon a computer program which, when executed by a processor, implements the steps of a method for identifying a fracture structure unit as described in the above embodiments.
It should be noted that, all or part of the flow of the method of the above embodiment may be implemented by a computer program, which may be stored in a computer readable storage medium and which, when executed by a processor, implements the steps of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. Of course, there are other ways of readable storage medium, such as quantum memory, graphene memory, etc. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
Example five
Fig. 5 is a schematic structural view of an electronic device according to an embodiment of the present invention. As shown in fig. 5, at the hardware level, the electronic device comprises a processor, optionally together with an internal bus, a network interface, a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, network interface, and memory may be interconnected by an internal bus, which may be an ISA (Industry Standard Architecture ) bus, a PCI (PeripheralComponent Interconnect, peripheral component interconnect standard) bus, or EISA (Extended Industry StandardArchitecture ) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, the figures are shown with only line segments, but not with only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code including computer-operating instructions. The memory may include memory and non-volatile storage and provide instructions and data to the processor. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs. The processor executes the program stored in the memory to perform all the steps in the method for identifying the fracture structure unit.
The communication bus mentioned by the above devices may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus. The communication interface is used for communication between the electronic device and other devices.
The bus includes hardware, software, or both for coupling the above components to each other. For example, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a micro channel architecture (MCa) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus, or a combination of two or more of the above. The bus may include one or more buses, where appropriate. Although embodiments of the invention have been described and illustrated with respect to a particular bus, the invention contemplates any suitable bus or interconnect.
The Memory may include random access Memory (Random Access Memory, RAM) or may include Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the aforementioned processor.
The memory may include mass storage for data or instructions. By way of example, and not limitation, the memory may comprise a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of the foregoing. The memory may include removable or non-removable (or fixed) media, where appropriate. In a particular embodiment, the memory is a non-volatile solid state memory. In a particular embodiment, the memory includes Read Only Memory (ROM). The ROM may be mask programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory, or a combination of two or more of these, where appropriate.
The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
It should be noted that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the functions described above. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present invention. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
The apparatus, device, system, module or unit described in the above embodiments may be implemented in particular by a computer chip or entity or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a car-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Although the invention provides method operational steps as described in the examples or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented in an actual device or end product, the instructions may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even in a distributed data processing environment) as illustrated by the embodiments or by the figures.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in this document relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In this specification, each embodiment is described in a related manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for apparatus, electronic devices, and readable storage medium embodiments, since they are substantially similar to method embodiments, the description is relatively simple, and references to parts of the description of method embodiments are only required.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.
Claims (10)
1. The identification method of the fracture structure unit is characterized by comprising the following steps:
s100, determining a fracture structure unit of a research area; the fracture body structure unit at least comprises one of a sliding breaking belt, an induced cracking belt and a raw rock belt, wherein the sliding breaking belt and the induced cracking belt are positioned in the fracture body, and the raw rock belt is positioned outside the fracture body;
s200, calibrating a conventional logging curve of a research area according to the determined fracture body structural unit, and determining a sensitive logging curve and a sensitive logging response characteristic which can be used for identifying different types of structural units based on the conventional logging curve;
s300, qualitatively identifying a fracture structure unit of a research area by utilizing the overlapping amplitude difference of the sensitive logging curve and the value of the sensitive logging response characteristic;
s400, constructing a quantitative identification curve capable of being used for identifying different types of structural units based on the sensitive log curve;
s500, establishing identification standards of different types of structural units based on the overlapping amplitude differences of the sensitive logging curves of the different types of structural units and the values of quantitative identification curves;
s600, quantitatively dividing the structural units of the fracture body of the research area by utilizing the identification standards of the structural units of different types.
2. The method for identifying a split structural unit according to claim 1, wherein,
the sensitive log comprises an eight-lateral resistivity log and a sonic time difference log;
the sensitive logging response features comprise natural gamma logging response features, eight-lateral resistivity logging response features and acoustic wave time difference logging response features;
the value of the quantitative identification curve is related to the product of the eight-side resistivity fracture-cavity identification index and the acoustic wave time difference fracture-cavity identification index.
3. The method for identifying a fracture-body structure unit according to claim 1, wherein the step S100 includes:
and determining a fracture body structural unit of the research area by using the rock core, the outcrop and the drilling data.
4. The method for identifying a fracture structure unit according to claim 1, wherein the step S200 includes:
and calibrating a conventional logging curve of the research area according to the determined fracture body structural units, and making a conventional logging curve intersection chart to obtain a sensitive logging curve and a sensitive logging response characteristic which can be used for identifying different types of structural units.
5. The method for identifying a fracture structure unit according to claim 1, wherein the step S300 includes:
constructing an overlap plate of the sensitive well logging curve to obtain an overlap amplitude difference of the sensitive well logging curve;
and qualitatively identifying the fracture structure unit of the research area by utilizing the overlapping amplitude difference of the sensitive logging curve and the value of the sensitive logging response characteristic.
6. The method for identifying a fracture structure unit of claim 5, wherein qualitatively identifying the fracture structure unit of the research area using the difference in overlapping magnitudes of the sensitive log and the value of the sensitive log response characteristic comprises:
identifying a sliding fracture zone and an induced fracture zone by using the overlapping amplitude difference of the sensitive logging curves;
and identifying the primary rock zone by using the value of the sensitive logging response characteristic.
7. The method for identifying a fracture-body structure unit according to claim 6, wherein the step S400 includes:
the quantitative recognition curve F is constructed as follows,
F＝I RT ×I AC
wherein F is the value of a quantitative recognition curve of a fracture structure unit, and is dimensionless; i RT The eight-lateral resistivity fracture-cavity identification index is dimensionless; i AC The method is characterized in that the method is a seam hole identification index of acoustic time difference, and is dimensionless;
wherein the eight-lateral resistivity fracture-cavity identification index I RT Is that
I RT ＝(RT max -RT)/(RT max -RT min )
Wherein I is RT The eight-lateral resistivity fracture-cavity identification index is dimensionless; RT (reverse transcription) method max To identify a maximum value of the resistivity curve in the wellbore section, ohmm; RT (reverse transcription) method min To identify a minimum value of the resistivity curve in the wellbore interval, ohmm; RT is an identification of resistivity measurements in the wellbore interval, ohm.
Wherein the acoustic time difference fracture-cavity identification index I AC Is that
I AC ＝(AC-AC min )/(AC max -AC min )
Wherein I is AC The method is characterized in that the method is a seam hole identification index of acoustic time difference, and is dimensionless; AC (alternating current) max In order to identify the maximum value of the acoustic time difference curve in the well section, us/m; AC (alternating current) min In order to identify the minimum value of the acoustic wave time difference curve in the well section, us/m; AC is a measurement identifying the acoustic time difference in the wellbore interval, us/m.
8. An identification device for a fracture structure unit, comprising:
the structure determining module is used for determining a fracture structure unit of the research area; the fracture body structure unit at least comprises one of a sliding breaking belt, an induced cracking belt and a raw rock belt, wherein the sliding breaking belt and the induced cracking belt are positioned in the fracture body, and the raw rock belt is positioned outside the fracture body;
the curve selection module is used for calibrating a conventional logging curve of a research area according to the determined fracture body structural unit and determining a sensitive logging curve and a sensitive logging response characteristic which can be used for identifying different types of structural units based on the conventional logging curve;
the qualitative identification module is used for qualitatively identifying the fracture structure unit of the research area by utilizing the overlapping amplitude difference of the sensitive logging curve and the value of the sensitive logging response characteristic;
the curve construction module is used for constructing a quantitative identification curve which can be used for identifying different types of structural units based on the sensitive logging curve;
the standard establishing module is used for establishing identification standards of different types of structural units based on the overlapping amplitude differences of the sensitive logging curves of the different types of structural units and the values of the quantitative identification curves;
and the quantitative division module is used for quantitatively dividing the fracture structure units of the research area by utilizing the identification standards of the different types of structure units.
9. A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, implements a method of identifying a fracture structure unit according to any one of claims 1 to 7.
10. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement a method of identifying a fracture structure unit as claimed in any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210785613.5A CN117388943A (en) | 2022-07-04 | 2022-07-04 | Identification method of fracture structure unit |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210785613.5A CN117388943A (en) | 2022-07-04 | 2022-07-04 | Identification method of fracture structure unit |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117388943A true CN117388943A (en) | 2024-01-12 |
Family
ID=89467215
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210785613.5A Pending CN117388943A (en) | 2022-07-04 | 2022-07-04 | Identification method of fracture structure unit |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117388943A (en) |
-
2022
- 2022-07-04 CN CN202210785613.5A patent/CN117388943A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10890681B2 (en) | Method for analyzing cement quality in multi-string cased wells using sonic logging | |
| US9745845B2 (en) | Casing defect determination using stored defect response information | |
| Fernández-Ibáñez et al. | Integrating borehole image logs with core: A method to enhance subsurface fracture characterization | |
| CA2447245C (en) | Determination of dipole shear anisotropy of earth formations | |
| RU2621482C2 (en) | Systems and methods for advance measuring resistivity by using reference well information | |
| CN113792936A (en) | Intelligent lithology while drilling identification method, system, equipment and storage medium | |
| CN104047598A (en) | Heterogeneous paleo-karst carbonate reservoir productivity prediction method | |
| US20160069181A1 (en) | Systems and Methods for Cement Evaluation | |
| CN105114067A (en) | Lithology logging facies method | |
| CN112145165B (en) | Microcrack-pore type reservoir dynamic and static permeability conversion method | |
| WO2017127045A1 (en) | Method of minimizing tool response for downhole logging operations | |
| CN111046328A (en) | Rock type identification method based on logging curve wavelet Mallet algorithm | |
| CN117388945A (en) | Identification method for fracture-body oil reservoir type | |
| US11333013B2 (en) | Segmentation of time-frequency signatures for automated pipe defect discrimination | |
| CN117388943A (en) | Identification method of fracture structure unit | |
| CN116931105A (en) | High-thorium sandstone reservoir logging identification method, device, equipment and readable storage medium | |
| CN113325468B (en) | Reservoir fracture-cavity distribution range prediction method and device | |
| CN106597565A (en) | Method for determining direction and orientation of rock core crack | |
| CN113720745A (en) | Method for calculating porosity of reservoir stratum containing carbon debris by geophysical logging | |
| CN113075748A (en) | Fracture effectiveness evaluation method based on imaging logging and acoustic remote detection logging data | |
| CN118534556A (en) | Method and device for identifying walk-slip fault, electronic device and storage medium | |
| Dong et al. | Fracture identification in shale reservoir using a deep learning method: Chang 7 reservoirs, Triassic Yanchang formation | |
| CN116241239B (en) | Well cementation evaluation method, device, equipment and storage medium based on far and near monopoles | |
| CN112147698B (en) | Crack development zone identification and feature determination method and system | |
| CN110927819B (en) | Crack development degree characterization method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |