CN111723471A - Method, device and equipment for determining denudation thickness and storage medium - Google Patents

Method, device and equipment for determining denudation thickness and storage medium Download PDF

Info

Publication number
CN111723471A
CN111723471A CN202010465532.8A CN202010465532A CN111723471A CN 111723471 A CN111723471 A CN 111723471A CN 202010465532 A CN202010465532 A CN 202010465532A CN 111723471 A CN111723471 A CN 111723471A
Authority
CN
China
Prior art keywords
thermal history
temperature
history curve
curve
determining
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.)
Granted
Application number
CN202010465532.8A
Other languages
Chinese (zh)
Other versions
CN111723471B (en
Inventor
丁汝鑫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sun Yat Sen University
Original Assignee
Shanghai Tongji Geology Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shanghai Tongji Geology Technology Co ltd filed Critical Shanghai Tongji Geology Technology Co ltd
Priority to CN202010465532.8A priority Critical patent/CN111723471B/en
Publication of CN111723471A publication Critical patent/CN111723471A/en
Application granted granted Critical
Publication of CN111723471B publication Critical patent/CN111723471B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08Thermal analysis or thermal optimisation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Investigating Or Analyzing Materials Using Thermal Means (AREA)

Abstract

The application provides a method, a device, equipment and a storage medium for determining ablation thickness, wherein the method comprises the following steps: obtaining a first thermal history curve of the rock sample; determining an inflection point and a low temperature section of the first thermal history curve; performing trend fitting on the high-temperature section of the first thermal history curve according to the low-temperature section, and generating a second thermal history curve of the rock sample according to the high-temperature section subjected to the trend fitting and the low-temperature section; and determining the denudation thickness of the rock stratum where the rock sample is located at each historical time according to the second thermal history curve. The method realizes that the denudation thickness of the rock stratum where the rock sample is located at each historical time is accurately determined according to the thermal history curve of the rock sample, thereby providing important data for later follow-up research by combining the denudation thickness.

Description

Method, device and equipment for determining denudation thickness and storage medium
Technical Field
The application relates to the technical field of geological exploration, in particular to a denudation thickness determination method, a denudation thickness determination device, denudation thickness determination equipment and a storage medium.
Background
The denudation thickness evolution historical recovery has very important values on the structural evolution, mineral production and oil gas exploration of the geological of the research area. Therefore, accurate restoration of the denuded thickness is very important.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining the denudation thickness, electronic equipment and a computer-readable storage medium, which are used for accurately determining the denudation thickness of a rock stratum where a rock sample is located at each historical time according to a thermal history curve of the rock sample, so that important data are provided for later-stage follow-up research by combining the denudation thicknesses.
To this end, an embodiment of an aspect of the present application provides a method for determining a denudation thickness, where the method includes: obtaining a first thermal history curve of the rock sample; determining an inflection point and a low temperature section of the first thermal history curve; performing trend fitting on the high-temperature section of the first thermal history curve according to the low-temperature section, and generating a second thermal history curve of the rock sample according to the high-temperature section subjected to the trend fitting and the low-temperature section; and determining the denudation thickness of the rock stratum where the rock sample is located at each historical time according to the second thermal history curve.
An embodiment of another aspect of the present application provides an ablation thickness determining apparatus, including: the acquisition module is used for acquiring a first thermal history curve of the rock sample; the first determining module is used for determining an inflection point and a low-temperature section of the first thermal history curve; the generating module is used for performing trend fitting on the high-temperature section of the first thermal history curve according to the low-temperature section and generating a second thermal history curve of the rock sample according to the high-temperature section subjected to the trend fitting and the low-temperature section; and the second determining module is used for determining the denudation thickness of the rock stratum where the rock sample is located at each historical time according to the second thermal history curve.
A further embodiment of the present application provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the program to implement the ablation thickness determining method of the first embodiment.
A further aspect of the present application proposes a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, is adapted to carry out the ablation thickness determination method according to the first aspect of the invention.
The technical scheme disclosed in the application has the following beneficial effects:
the method and the device realize accurate determination of the denudation thickness of the rock stratum where the rock sample is located at each historical time according to the thermal history curve of the rock sample, thereby providing important data for later follow-up research by combining the denudation thickness.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow chart of a denudation thickness determination method according to an embodiment of the present application;
FIG. 2 is a schematic illustration of a first thermal history curve of a rock sample according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of a denudation thickness determination method according to another embodiment of the present application;
FIG. 4 is a schematic view of an interactive interface according to an embodiment of the present application;
FIG. 5 is a schematic view of another interactive interface of an embodiment of the present application;
fig. 6 is a schematic structural view of an ablation thickness determining apparatus according to an embodiment of the present application;
FIG. 7 is a schematic diagram of a computer device according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a computer device according to another embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
A ablation thickness determination method, an apparatus, a computer device, and a storage medium according to embodiments of the present application are described below with reference to the drawings.
First, referring to fig. 1, a method for determining a denudation thickness according to an embodiment of the present application will be described in detail.
Fig. 1 is a schematic flow chart of a denudation thickness determination method according to an embodiment of the present application.
As shown in fig. 1, the ablation thickness determination method of the present application may include the steps of:
a first thermal history curve of a rock sample is obtained, step 101.
The main execution body of the method for determining the ablation thickness in the embodiment of the present application is the device for determining the ablation thickness provided in the embodiment of the present application, and the device for determining the ablation thickness can be configured in any electronic device capable of performing data processing, so as to accurately determine the ablation thickness of the rock layer where the rock sample is located at each historical time according to the thermal history curve of the rock sample.
The electronic device may be a hardware device such as a computer, a tablet computer, a mobile phone, and the like, which is not limited in the present application. The device for determining the ablation thickness may be a hardware device such as an electronic device, a server, or the like, or may be software installed on the hardware device, which is not limited in this application. In the embodiment of the present application, a device for determining the ablation thickness is described as an example of ablation thickness management software. For convenience of description, the ablation thickness management software will be simply referred to as management software hereinafter.
The rock sample may be any rock sample obtained from the earth surface or any rock formation, and the application is not limited thereto.
And the first thermal history curve can represent the corresponding relation between the historical time and the temperature value of the rock sample.
In particular, a thermal history simulation may be performed on the rock sample based on the low temperature chronology data to generate a first thermal history curve of the rock sample. The method for generating the first thermal history curve of the rock sample by performing thermal history simulation on the rock sample can adopt any method in the related art, and the method for generating the first thermal history curve of the rock sample is not limited in the application.
In an exemplary embodiment, the first thermal history curve may be an average curve or a weighted average curve of the thermal history simulation results.
In an exemplary embodiment, the first thermal history curve may be a curve with a history time on the abscissa and a temperature value on the ordinate. Wherein the abscissa may have a unit of million years (Ma) and the ordinate may have a unit of degree celsius (deg.c). It should be noted that the historical time in the first thermal history curve may be understood as the time up to this point, for example, 30Ma indicates that the historical time is 30Ma years up to this point.
Step 102, the inflection point and the low temperature segment of the first thermal history curve are determined.
It is to be understood that the inflection point of the first thermal history curve may be a point at which the corner of the first thermal history curve is the largest.
Specifically, the inflection point of the first thermal history curve may be determined in various ways.
In a first mode
And acquiring the temperature slope information of each historical time in the first thermal history curve, and determining the inflection point of the first thermal history curve according to the temperature slope information of each historical time.
The temperature slope information of the first thermal history curve at a historical time may include a slope of a tangent of the first thermal history curve at the historical time.
Specifically, the management software may obtain temperature slope information of each historical time in the first thermal history curve, and compare the temperature slope information of each historical time with the temperature slope information of the previous historical time to obtain a change value of the temperature slope information of each historical time relative to the temperature slope information of the previous historical time, so that a point at which the change value of the temperature slope information is maximum may be determined as an inflection point of the first thermal history curve.
Mode two
And determining the inflection point of the first thermal history curve according to the temperature inflection point interval of the first thermal history curve input by the user.
The temperature inflection point interval is an interval including an inflection point of the first thermal history curve, for example, when the historical time corresponding to the inflection point is 125Ma, the temperature inflection point interval may be 120Ma-130Ma, and the length of the historical time interval included in the temperature inflection point interval is not limited in the present application.
Specifically, the management software can provide an interactive interface for a user after acquiring the first thermal history curve of the rock sample, and an input frame for the user to input a temperature inflection point interval can be arranged in the interactive interface, so that the user can input the temperature inflection point interval in the input frame of the interactive interface after determining a section of temperature inflection point interval of the first thermal history curve according to experience by combining related data of thermal history simulation, the variation trend of the thermal history curve, geological actual conditions and the like, and further the management software can determine the inflection point of the first thermal history curve according to the temperature inflection point interval input by the user.
In specific implementation, the management software may first obtain temperature slope information of each historical time in the temperature inflection point interval according to the temperature inflection point interval input by the user, and then compare the temperature slope information of each historical time in the temperature inflection point interval with the temperature slope information of the previous historical time to obtain a change value of the temperature slope information of each historical time in the temperature inflection point interval relative to the temperature slope information of the previous historical time, so that a point in the temperature inflection point interval where the change value of the temperature slope information is the largest may be determined as the inflection point of the first thermal history curve.
It can be understood that when the inflection point of the first thermal history curve is determined according to the temperature inflection point interval of the first thermal history curve, only the temperature slope information of each historical time in the temperature inflection point interval needs to be acquired, and then the inflection point of the first thermal history curve is determined according to the temperature slope information of each historical time in the temperature inflection point interval.
Mode III
And determining the inflection point of the first thermal history curve according to the inflection point of the first thermal history curve input by the user.
In an exemplary embodiment, the management software may provide an interactive interface for the user to input an inflection point after acquiring the first thermal history curve of the rock sample, and the interactive interface may be provided with an input box for the user to input the inflection point, so that the user may input the inflection point in the input box in the interactive interface after empirically determining the inflection point of the first thermal history curve in combination with related data of the thermal history simulation, a variation trend of the thermal history curve, geological actual conditions, and the like, and the management software may determine the inflection point input by the user as the inflection point of the first thermal history curve.
Further, after the inflection point of the first thermal history curve is determined, the low temperature section of the first thermal history curve can be determined according to the inflection point.
It will be appreciated that, in general, the longer the present historical time, the higher the corresponding temperature, and the shorter the present historical time, the lower the corresponding temperature in the thermal history curve of the rock sample, and therefore, the management software may determine a curve segment of the historical time period after the inflection point of the first thermal history curve (i.e., a historical time period shorter the present time than the present time corresponding to the inflection point) as the low temperature segment of the first thermal history curve, and determine a curve segment of the historical time period before the inflection point of the first thermal history curve (i.e., a historical time period longer the present time than the present time corresponding to the inflection point) as the high temperature segment of the first thermal history curve.
For example, assuming that the first thermal history curve of the rock sample is in the form shown in fig. 2, point a in fig. 2 is an inflection point of the first thermal history curve, a curve segment to the left of point a (i.e., a curve segment of a history time period corresponding to the inflection point and having a shorter time than the current history time) is a low temperature segment of the first thermal history curve, and a curve segment to the right of point a (i.e., a curve segment of the history time period corresponding to the inflection point and having a longer time than the current history time) is a high temperature segment of the first thermal history curve. Wherein the abscissa of the first thermal history curve in fig. 2 is Time (Time) in Ma, and the ordinate is Temperature (Temperature) in degrees celsius (° c).
It will be appreciated that in embodiments of the present application, the low temperature segment of the first thermal history curve, as determined by the inflection point, may be the segment of the curve that includes the zircon fission trace closure temperature (about 250 c) within (i.e., less than 250 c). Or, at40Ar/39The curve segment from the Ar (isotope dating) sealing temperature (about 300-400 ℃) to the zircon fission track sealing temperature (about 250 ℃) also shows a gradual increaseIn slow cooling, the low temperature segment of the first thermal history curve may also be a segment of the curve from about 300 ℃ to about 400 ℃ to about 250 ℃ since the temperature change of the rock sample is likely to be due to zonal denudation and not in the rapid crystallization cooling stage of the magma.
And 103, performing trend fitting on the high-temperature section of the first thermal history curve according to the low-temperature section, and generating a second thermal history curve of the rock sample according to the high-temperature section and the low-temperature section after the trend fitting.
And step 104, determining the denudation thickness of the rock stratum where the rock sample is located at each historical time according to the second thermal history curve.
Specifically, after the low temperature section of the first thermal history curve is determined, a plurality of scattered points in the low temperature section can be obtained, trend fitting can be performed on the scattered points to obtain a trend fitting line, then a curve section matched with the historical time period of the high temperature section in the trend fitting line can be determined as the high temperature section after the trend fitting, and a second thermal history curve of the rock sample can be generated according to the high temperature section after the trend fitting and the low temperature section before the trend fitting. After the second thermal history curve of the rock sample is determined, the denudation thickness of the rock layer where the rock sample is located in each historical time period can be determined.
The plurality of scattering points in the low temperature section for trend fitting may be a plurality of scattering points obtained from a section of the curve section after the inflection point of the first thermal history curve (i.e., the time to the present is shorter than the time to the present corresponding to the inflection point) and adjacent to the inflection point. In specific implementation, the interval length of the historical time period corresponding to the curve segment may be set according to the change trend of the thermal history curve or the comprehensive judgment of the user on the geological information, for example, the curve segment X may be set to obtain a plurality of scattered points for trend fitting, where the curve segment X is a curve segment that is after the inflection point (i.e., in a direction shorter than the present time corresponding to the inflection point) and has an interval length adjacent to the inflection point of 5Ma, 10Ma, or 20Ma, and the like.
For example, with reference to fig. 2, assuming that the historical time corresponding to the inflection point a is 132Ma, a plurality of scattering points obtained from a curve segment with an interval length of 10Ma after and adjacent to the inflection point of the first thermal history curve are preset as the plurality of scattering points in the low temperature segment for trend fitting, the plurality of scattering points may be obtained from the curve segment with the historical time period 122Ma-132Ma of the first thermal history curve as the plurality of scattering points in the low temperature segment for trend fitting.
It can be understood that in the rock denudation process from the underground deep part to the top, the temperature evolution records can be represented by the thermal history curve of the rock, but only the low temperature section in the thermal history curve of the rock can correspond to the surface denudation evolution, but the high temperature section cannot correspond to the surface denudation evolution, so that only the denudation thickness determined according to the low temperature section of the thermal history curve of the rock is accurate, and the denudation thickness cannot be accurately determined according to the high temperature section of the thermal history curve of the rock. In the second thermal history curve of the rock sample for determining the denudation thickness, the high-temperature section is obtained by trend fitting according to the low-temperature section, so that the high-temperature section can also accurately correspond to the surface denudation evolution, and therefore the denudation thickness of the rock layer where the rock sample is located at each historical time can be accurately determined according to the newly generated second thermal history curve of the rock sample.
It can be understood that the method for determining the denudation thickness provided by the embodiment of the application can be applied to the situation when the high-temperature section is in the magma crystallization cooling stage, and because the cooling time of the high-temperature section is short, the method for determining the denudation thickness can perform trend fitting on the high-temperature section of the first thermal history curve according to the first thermal history curve of the low-temperature section, so as to generate a new second thermal history curve, can accurately determine the denudation thickness of the rock stratum where the rock sample is located at each historical time, and has certain help for estimating the denudation thickness of the high-temperature section and the depth of the magma invasion.
It can be understood that accurate determination of the denudation thickness plays a very important role in studying geological structure evolution, deposit preservation, oil exploration and the like. Taking deposit preservation research as an example, the method for determining the denudation thickness accurately determines the denudation thickness of the high temperature of the thermal history curve of the rock sample, can be used for estimating the deposition depth of an ore body and the denudation thickness of an overlying rock layer in the aspects of deep ore exploration and the like, and is finally used for estimating whether the ore body still exists and is buried under the approximate depth.
According to the method for determining the denudation thickness, a first thermal history curve of a rock sample is obtained, then an inflection point and a low-temperature section of the first thermal history curve are determined, trend fitting is conducted on the high-temperature section of the first thermal history curve according to the low-temperature section, a second thermal history curve of the rock sample is generated according to the high-temperature section and the low-temperature section after the trend fitting, and therefore the denudation thickness of a rock stratum where the rock sample is located in each historical time is determined according to the second thermal history curve. Therefore, the method and the device can accurately determine the denudation thickness of the rock stratum where the rock sample is located in each historical time according to the thermal history curve of the rock sample, thereby providing important data for later follow-up research by combining the denudation thickness.
The ablation thickness determination method of the present application is further described below with reference to fig. 3.
Fig. 3 is a schematic flow chart of a denudation thickness determination method according to another embodiment of the present application.
As shown in fig. 3, the ablation thickness determination method of the embodiment of the present application may include the steps of:
at step 201, a first thermal history curve of a rock sample is obtained.
And the first thermal history curve can represent the corresponding relation between the historical time and the temperature value of the rock sample.
Step 202, acquiring a temperature inflection point interval of the first thermal history curve.
And step 203, acquiring temperature slope information of each historical time in the temperature inflection point interval.
And step 204, determining the inflection point of the first thermal history curve according to the temperature slope information of each historical time in the temperature inflection point interval.
Specifically, the management software can provide an interactive interface for a user after acquiring the first thermal history curve of the rock sample, and an input frame for the user to input a temperature inflection point interval can be arranged in the interactive interface, so that the user can input the temperature inflection point interval in the input frame of the interactive interface after determining a section of temperature inflection point interval of the first thermal history curve according to experience by combining related data of thermal history simulation, the variation trend of the thermal history curve, geological actual conditions and the like, and further the management software can determine the inflection point of the first thermal history curve according to the temperature inflection point interval input by the user.
In specific implementation, the management software may first obtain temperature slope information of each historical time in the temperature inflection interval according to the temperature inflection interval input by the user, and then compare the temperature slope information of each historical time in the temperature inflection interval with the temperature slope information of the previous historical time to obtain a change value of the temperature slope information of each historical time in the temperature inflection interval relative to the temperature slope information of the previous historical time, so that a point in the temperature inflection interval where the change value of the temperature slope information is the largest may be determined as the inflection point of the first thermal history curve according to the temperature slope information of each historical time in the temperature inflection interval.
In step 205, the low temperature segment of the first thermal history curve is determined according to the inflection point.
It will be appreciated that, in general, the longer the present historical time, the higher the corresponding temperature, and the shorter the present historical time, the lower the corresponding temperature in the thermal history curve of the rock sample, and therefore, the management software may determine a curve segment of the historical time period after the inflection point of the first thermal history curve (i.e., a historical time period shorter the present time than the present time corresponding to the inflection point) as the low temperature segment of the first thermal history curve, and determine a curve segment of the historical time period before the inflection point of the first thermal history curve (i.e., a historical time period longer the present time than the present time corresponding to the inflection point) as the high temperature segment of the first thermal history curve.
Step 206, a plurality of scatter points in the low temperature section are obtained.
And step 207, performing trend fitting on the plurality of scattered points to obtain a trend fitting curve.
And step 208, determining a curve section matched with the historical time section of the high-temperature section in the trend fitting curve as the high-temperature section after trend fitting.
And step 209, generating a second thermal history curve of the rock sample according to the high-temperature section and the low-temperature section after trend fitting.
Specifically, after the low temperature section of the first thermal history curve is determined, a plurality of scattered points in the low temperature section can be obtained, trend fitting is conducted on the scattered points to obtain a trend fitting line, then a curve section matched with the historical time section of the high temperature section in the trend fitting line is determined as the high temperature section after the trend fitting, and therefore the second thermal history curve of the rock sample can be generated according to the high temperature section after the trend fitting and the low temperature section before the trend fitting.
Step 210, obtaining a surface temperature value and a ground temperature gradient value of the rock stratum.
The surface temperature value may refer to a surface temperature of the formation.
In practice, the surface temperature value may be determined based on the surface temperature at sea level and the height of the formation relative to sea level. For example, assuming a surface temperature at sea level of Ts, a height of the formation relative to sea level of E, and a temperature drop of 6 degrees for every one kilometer of formation relative to sea level, the surface temperature value may be Ts-E × 6.
The earth temperature gradient can represent the temperature increase value of each 100 meters or 1000 meters in depth, and can be set according to the requirement in practical application.
In an exemplary embodiment, the management software may provide an interactive interface for a user, and an input box for the user to input the earth temperature gradient value and the earth surface temperature value, or an input box for the user to input the earth temperature gradient value, the surface temperature of the sea level, and the height of the rock formation relative to the sea level may be provided in the interactive interface, so that the management software may determine the earth surface temperature and the earth temperature gradient of the rock formation according to the input information of the user in the input boxes.
And step 211, determining the denudation thickness of the rock stratum at each historical time according to the temperature value, the surface temperature value and the earth temperature gradient value at each historical time in the second thermal history curve.
Specifically, the management software may subtract the surface temperature value from the temperature value at each historical time in the second thermal history curve to obtain a difference between the temperature value at each historical time in the second thermal history curve and the surface temperature value, and then use a ratio of the difference corresponding to each historical time to the ground temperature gradient value as the ablation thickness at each corresponding historical time.
In an exemplary embodiment, before determining the degradation thickness of the rock layer where the rock sample is located at each historical time according to the first thermal history curve of the rock sample, an interactive interface may be further provided for a user, and a button for starting the computation of the degradation thickness is arranged in the interactive interface, so that after the user touches the button by clicking, sliding or the like, the determination of the degradation thickness of the rock layer where the rock sample is located at each historical time is started according to the first thermal history curve.
And 212, generating and displaying a denudation thickness curve of the rock stratum according to the denudation thickness of the rock stratum at each historical time.
It can be understood that after the denudation thickness of the rock stratum at each historical time is determined, the denudation thickness curve of the rock stratum can be generated and displayed, so that the change trend of the denudation thickness of the rock stratum at each historical time can be visually displayed. According to the denudation thickness curve of the rock stratum, a user can extract the denudation thickness corresponding to the required historical time according to the requirement.
Additionally, in the exemplary embodiment, the second thermal history curve may also be presented after the second thermal history curve of the rock sample is generated.
It should be noted that, in the embodiment of the present application, a curve digitized point interval value may also be set, so that the first thermal history curve, the second thermal history curve, and the denudation thickness curve may be digitized according to the curve digitized point interval value, so as to implement unified normalization processing on the curves, and provide data for drawing a same-period plane denudation thickness contour map and the like by using a plurality of rock samples.
For example, the digitized dot pitch value may be set to 5Ma, so that the first thermal history curve, the second thermal history curve, and the ablation thickness curve may be digitized at a time pitch of 5 Ma.
The curve digitized point interval value may be set by a user or automatically set by management software, which is not limited in this application.
The method for determining the ablation thickness provided by the present application will be described below with reference to fig. 2, 4, and 5.
As shown in fig. 4 and 5, the management software may provide an interactive interface to the user. As shown in fig. 4, the interactive interface may be provided with input boxes for the user to input the ground temperature gradient value, the surface temperature of the sea level, the height of the rock formation relative to the sea level, the temperature inflection point interval, and the curve digitized point interval value, so that the user may input data such as the ground temperature gradient value, the surface temperature of the sea level, the height of the rock formation relative to the sea level, the temperature inflection point interval, and the curve digitized point interval value in the input boxes. As shown in fig. 5, a "time" button for inputting historical time, a "temperature" button for inputting temperature, and a "ablation thickness determination" button for starting ablation thickness calculation may be provided in the interactive interface, so that the user may touch the "temperature" and "time" buttons by clicking, sliding, etc. to input temperature data and time data.
After acquiring the first thermal history curve of the rock sample as shown in fig. 2 and the upper area of fig. 5, and after the user touches the "ablation thickness determination" button in a touch manner such as clicking, sliding, etc., the management software may acquire temperature slope information of each historical time in the temperature inflection point interval according to the temperature inflection point interval (shown in an area B in fig. 2) input by the user, and determine the inflection point a of the first thermal history curve according to the temperature slope information of each historical time in the temperature inflection point interval. And then determining a low-temperature section of the first thermal history curve according to the inflection point A, acquiring a plurality of scattered points in the low-temperature section, performing trend fitting on the plurality of scattered points to obtain a trend fitting curve, determining a curve section matched with the historical time period of the high-temperature section in the trend fitting curve as the high-temperature section after the trend fitting, and generating a second thermal history curve of the rock sample according to the high-temperature section and the low-temperature section after the trend fitting. Then, the denudation thickness of the rock formation at each historical time can be determined according to the temperature value of each historical time in the second thermal history curve, the surface temperature on the sea level, the height of the rock formation relative to the sea level and the ground temperature gradient value which are input by the user, and as shown in fig. 5, the denudation thickness curve of the digitized rock formation is displayed according to the curve digitized point-to-point distance value which is input by the user.
In fig. 4, the surface temperature at sea level is given in units of degrees celsius (° c), the height of the rock formation relative to sea level is given in units of meters (m), the geothermal gradient is given in units of ℃/km, the temperature inflection point interval is given in units of Ma, and the curve digitized point interval value is given in units of Ma. In fig. 5, the abscissa is Time (Time) in Ma, and the ordinate is ablation thickness (exhusitionthinkness) in kilometers (km).
According to the two curves shown in fig. 5, the first thermal history curve of the low temperature section corresponds to the ablation thickness curve one to one, and since the ablation thickness is determined by using the high temperature section after trend fitting is performed on the high temperature section of the first thermal history curve according to the low temperature section instead of using the first thermal history curve of the high temperature section to determine the ablation thickness, the first thermal history curve of the high temperature section does not correspond to the ablation thickness curve one to one.
The method for determining the denudation thickness according to the embodiment can obtain a temperature inflection point interval of a first thermal history curve after obtaining the first thermal history curve of a rock sample, then determine an inflection point of the first thermal history curve according to temperature slope information of each historical time in the temperature inflection point interval, then determine a low temperature section of the first thermal history curve according to the inflection point, then obtain a plurality of radiating points in the low temperature section, perform trend fitting on the plurality of radiating points to obtain a trend fitting curve, then determine a curve section matched with the historical time section of the high temperature section in the trend fitting curve as the high temperature section after the trend fitting, and then generate a second thermal history curve of the rock sample according to the high temperature section and the low temperature section after the trend fitting, so that after obtaining a surface temperature value and a ground temperature gradient value of the rock layer, according to temperature values of each historical time, surface temperature value and ground temperature gradient value in the second thermal history curve, and determining the denudation thickness of the rock stratum at each historical time, and further generating and displaying a denudation thickness curve of the rock stratum. Therefore, the method and the device can accurately determine the denudation thickness of the rock stratum where the rock sample is located in each historical time according to the thermal history curve of the rock sample, thereby providing important data for later follow-up research by combining the denudation thickness.
A denudation thickness determination apparatus proposed by an embodiment of the present application is described below with reference to the drawings.
Fig. 6 is a schematic structural view of an ablation thickness determining apparatus according to an embodiment of the present application.
As shown in fig. 6, the ablation thickness determination apparatus includes: the device comprises an acquisition module 11, a first determination module 12, a generation module 13 and a second determination module 14.
The acquisition module 11 is used for acquiring a first thermal history curve of the rock sample;
a first determining module 12, configured to determine an inflection point and a low temperature segment of the first thermal history curve;
the generating module 13 is configured to perform trend fitting on the high-temperature section of the first thermal history curve according to the low-temperature section, and generate a second thermal history curve of the rock sample according to the high-temperature section and the low-temperature section after the trend fitting;
and the second determining module 14 is used for determining the denudation thickness of the rock stratum where the rock sample is located at each historical time according to the second thermal history curve.
In a possible implementation form, the obtaining module 11 is specifically configured to:
performing thermal history simulation on the rock sample to generate a first thermal history curve;
and the first thermal history curve represents the corresponding relation between the historical time and the temperature value of the rock sample.
In another possible implementation form, the first determining module 12 is specifically configured to:
acquiring a temperature inflection point interval of a first thermal history curve;
acquiring temperature slope information of each historical time in a temperature inflection point interval;
determining the inflection point of the first thermal history curve according to the temperature slope information of each historical time in the temperature inflection point interval;
and determining the low temperature section of the first thermal history curve according to the inflection point.
In another possible implementation form, the generating module 13 is specifically configured to:
obtaining a plurality of scatter points in a low-temperature section;
performing trend fitting on the scattered points to obtain a trend fitting curve;
and determining a curve section matched with the historical time section of the high-temperature section in the trend fitting curve as the high-temperature section after trend fitting.
In another possible implementation form, the second determining module 14 is specifically configured to:
acquiring a surface temperature value and a ground temperature gradient value of a rock stratum;
and determining the denudation thickness of the rock stratum at each historical time according to the temperature value at each historical time, the surface temperature value and the earth temperature gradient value in the second thermal history curve.
In another possible implementation form, the ablation thickness determining apparatus may further include:
and the display module is used for generating and displaying a denudation thickness curve of the rock stratum according to the denudation thickness of the rock stratum at each historical time.
It should be noted that, for the implementation process and the technical principle of the ablation thickness determining apparatus of the present embodiment, reference is made to the foregoing explanation of the ablation thickness determining method of the first embodiment, and details are not repeated here.
The device for determining the denudation thickness provided by the embodiment of the application firstly obtains a first thermal history curve of a rock sample, then determines an inflection point and a low-temperature section of the first thermal history curve, and then carries out trend fitting on a high-temperature section of the first thermal history curve according to the low-temperature section, and generates a second thermal history curve of the rock sample according to the high-temperature section and the low-temperature section after the trend fitting, so that the denudation thickness of a rock stratum where the rock sample is located at each historical time is determined according to the second thermal history curve. Therefore, the method and the device can accurately determine the denudation thickness of the rock stratum where the rock sample is located in each historical time according to the thermal history curve of the rock sample, thereby providing important data for later follow-up research by combining the denudation thickness.
In order to implement the above embodiments, the present application also provides a computer device.
Fig. 7 is a schematic structural diagram of a computer device according to an embodiment of the present application. The computer device shown in fig. 7 is only an example, and should not bring any limitation to the function and the scope of use of the embodiments of the present application.
As shown in fig. 7, the computer apparatus 200 includes: a memory 210, a processor 220 and a computer program stored on the memory 210 and operable on the processor 220, when executing the program, implements the ablation thickness determination method according to the first aspect embodiment.
In an alternative implementation form, as shown in fig. 8, the computer device 200 may further include: a memory 210 and a processor 220, a bus 230 connecting the different components (including the memory 210 and the processor 220), the memory 210 storing a computer program, the processor 220 implementing the ablation thickness determination method according to the embodiments of the present application when executing the program.
Bus 230 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer device 200 typically includes a variety of computer device readable media. Such media may be any available media that is accessible by computer device 200 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 210 may also include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)240 and/or cache memory 250. The computer device 200 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 260 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 8, and commonly referred to as a "hard drive"). Although not shown in FIG. 8, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 230 by one or more data media interfaces. Memory 210 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the application.
A program/utility 280 having a set (at least one) of program modules 270, including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination thereof may comprise an implementation of a network environment, may be stored in, for example, the memory 210. The program modules 270 generally perform the functions and/or methodologies of the embodiments described herein.
The computer device 200 may also communicate with one or more external devices 290 (e.g., keyboard, pointing device, display 291, etc.), with one or more devices that enable a user to interact with the computer device 200, and/or with any devices (e.g., network card, modem, etc.) that enable the computer device 200 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 292. Also, computer device 200 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet) through network adapter 293. As shown, network adapter 293 communicates with the other modules of computer device 200 via bus 230. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the computer device 200, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
It should be noted that, for the implementation process and the technical principle of the computer device of this embodiment, reference is made to the foregoing explanation of the ablation thickness determining method of the first embodiment, and details are not repeated here.
According to the computer equipment provided by the embodiment of the application, a first thermal history curve of a rock sample is obtained firstly, then an inflection point and a low-temperature section of the first thermal history curve are determined, trend fitting is carried out on a high-temperature section of the first thermal history curve according to the low-temperature section, a second thermal history curve of the rock sample is generated according to the high-temperature section and the low-temperature section after the trend fitting, and therefore the denudation thickness of a rock stratum where the rock sample is located at each historical time is determined according to the second thermal history curve. Therefore, the method and the device can accurately determine the denudation thickness of the rock stratum where the rock sample is located in each historical time according to the thermal history curve of the rock sample, thereby providing important data for later follow-up research by combining the denudation thickness.
To implement the above embodiments, the present application also provides a computer-readable storage medium.
Wherein the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the ablation thickness determination method as described in the embodiments of the first aspect.
In an alternative implementation, the embodiments may be implemented in any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
To achieve the above embodiments, the present application also proposes a computer program product, which when instructions in the computer program product are executed by a processor, performs the ablation thickness determination method as described in the foregoing embodiments.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.

Claims (14)

1. A method of determining ablation thickness, comprising:
obtaining a first thermal history curve of the rock sample;
determining an inflection point and a low temperature section of the first thermal history curve;
performing trend fitting on the high-temperature section of the first thermal history curve according to the low-temperature section, and generating a second thermal history curve of the rock sample according to the high-temperature section subjected to the trend fitting and the low-temperature section;
and determining the denudation thickness of the rock stratum where the rock sample is located at each historical time according to the second thermal history curve.
2. The method of claim 1, wherein said obtaining a first thermal history curve of a rock sample comprises:
performing thermal history simulation on the rock sample to generate a first thermal history curve;
wherein the first thermal history curve represents the corresponding relation between the historical time and the temperature value of the rock sample.
3. The method of claim 1, wherein the determining the inflection point and the low temperature segment of the first thermal history curve comprises:
acquiring a temperature inflection point interval of the first thermal history curve;
acquiring temperature slope information of each historical time in the temperature inflection point interval;
according to the temperature slope information of each historical time in the temperature inflection point interval, determining the inflection point of the first thermal history curve;
and determining a low-temperature section of the first thermal history curve according to the inflection point.
4. The method of claim 1, wherein the trend fitting the high temperature segment of the first thermal history curve according to the low temperature segment comprises:
obtaining a plurality of scatter points in the low temperature section;
performing trend fitting on the scattered points to obtain a trend fitting curve;
and determining a curve section matched with the historical time section of the high-temperature section in the trend fitting curve as the high-temperature section after trend fitting.
5. The method of claim 1, wherein determining the degradation thickness of the rock formation of the rock sample at each historical time based on the second thermal history profile comprises:
acquiring a surface temperature value and a ground temperature gradient value of the rock stratum;
and determining the denudation thickness of the rock stratum at each historical time according to the temperature value of each historical time in the second thermal history curve, the surface temperature value and the earth temperature gradient value.
6. The method of claim 5, wherein the determining the degradation thickness of the formation at each historical time further comprises:
and generating and displaying a denudation thickness curve of the rock stratum according to the denudation thickness of the rock stratum at each historical time.
7. An ablation thickness determining apparatus, comprising:
the acquisition module is used for acquiring a first thermal history curve of the rock sample;
the first determining module is used for determining an inflection point and a low-temperature section of the first thermal history curve;
the generating module is used for performing trend fitting on the high-temperature section of the first thermal history curve according to the low-temperature section and generating a second thermal history curve of the rock sample according to the high-temperature section subjected to the trend fitting and the low-temperature section;
and the second determining module is used for determining the denudation thickness of the rock stratum where the rock sample is located at each historical time according to the second thermal history curve.
8. The apparatus of claim 7, wherein the obtaining module is specifically configured to:
performing thermal history simulation on the rock sample to generate a first thermal history curve;
wherein the first thermal history curve represents the corresponding relation between the historical time and the temperature value of the rock sample.
9. The apparatus of claim 7, wherein the first determining module is specifically configured to:
acquiring a temperature inflection point interval of the first thermal history curve;
acquiring temperature slope information of each historical time in the temperature inflection point interval;
according to the temperature slope information of each historical time in the temperature inflection point interval, determining the inflection point of the first thermal history curve;
and determining a low-temperature section of the first thermal history curve according to the inflection point.
10. The apparatus of claim 7, wherein the generation module is specifically configured to:
obtaining a plurality of scatter points in the low temperature section;
performing trend fitting on the scattered points to obtain a trend fitting curve;
and determining a curve section matched with the historical time section of the high-temperature section in the trend fitting curve as the high-temperature section after trend fitting.
11. The apparatus of claim 7, wherein the second determining module is specifically configured to:
acquiring a surface temperature value and a ground temperature gradient value of the rock stratum;
and determining the denudation thickness of the rock stratum at each historical time according to the temperature value of each historical time in the second thermal history curve, the surface temperature value and the earth temperature gradient value.
12. The apparatus of claim 11, further comprising:
and the display module is used for generating and displaying the denudation thickness curve of the rock stratum according to the denudation thickness of the rock stratum at each historical time.
13. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor when executing the program to implement the ablation thickness determination method according to any of claims 1-6.
14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method of determining a denudation thickness according to any one of claims 1 to 6.
CN202010465532.8A 2020-05-28 2020-05-28 Method, device, equipment and storage medium for determining ablation thickness Active CN111723471B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010465532.8A CN111723471B (en) 2020-05-28 2020-05-28 Method, device, equipment and storage medium for determining ablation thickness

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010465532.8A CN111723471B (en) 2020-05-28 2020-05-28 Method, device, equipment and storage medium for determining ablation thickness

Publications (2)

Publication Number Publication Date
CN111723471A true CN111723471A (en) 2020-09-29
CN111723471B CN111723471B (en) 2024-01-19

Family

ID=72565123

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010465532.8A Active CN111723471B (en) 2020-05-28 2020-05-28 Method, device, equipment and storage medium for determining ablation thickness

Country Status (1)

Country Link
CN (1) CN111723471B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113761799A (en) * 2021-08-31 2021-12-07 东风商用车有限公司 Vehicle performance curve trend fitting method, device, equipment and storage medium
CN114647013A (en) * 2022-03-18 2022-06-21 中山大学 Method, device and equipment for determining denudation amount and readable storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101701954A (en) * 2009-10-26 2010-05-05 西安石油大学 Method for judging formation time of fragmental rock based on structural thermal evolution history
CN105242328A (en) * 2015-10-28 2016-01-13 中国石油大学(北京) Paleo-thermal lithosphere thickness determination method and device
CN107367770A (en) * 2017-06-12 2017-11-21 核工业北京地质研究院 The technique for delineating of the favourable section of sandrock-type uranium-bearing Basin Metallogenic is soaked a kind ofly
CN108133072A (en) * 2017-11-17 2018-06-08 上海同继地质科技有限公司 Mica Ar-Ar chronology thermal history analogy methods and system
CN110390120A (en) * 2018-04-23 2019-10-29 上海同继地质科技有限公司 Basement rock quartz light releases light chronology thermal history analogy method and system
CN111009179A (en) * 2019-10-23 2020-04-14 上海同继地质科技有限公司 Method and device for determining denudation thickness

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101701954A (en) * 2009-10-26 2010-05-05 西安石油大学 Method for judging formation time of fragmental rock based on structural thermal evolution history
CN105242328A (en) * 2015-10-28 2016-01-13 中国石油大学(北京) Paleo-thermal lithosphere thickness determination method and device
CN107367770A (en) * 2017-06-12 2017-11-21 核工业北京地质研究院 The technique for delineating of the favourable section of sandrock-type uranium-bearing Basin Metallogenic is soaked a kind ofly
CN108133072A (en) * 2017-11-17 2018-06-08 上海同继地质科技有限公司 Mica Ar-Ar chronology thermal history analogy methods and system
CN110390120A (en) * 2018-04-23 2019-10-29 上海同继地质科技有限公司 Basement rock quartz light releases light chronology thermal history analogy method and system
CN111009179A (en) * 2019-10-23 2020-04-14 上海同继地质科技有限公司 Method and device for determining denudation thickness

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
周礼成,冯石,王世成,康铁笙: "用裂变径迹长度分布模拟地层剥蚀量和热史", 石油学报, no. 03 *
宋明水: "济阳坳陷中、新生代成熟度曲线及其在剥蚀量计算中的运用", 高校地质学报, no. 01 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113761799A (en) * 2021-08-31 2021-12-07 东风商用车有限公司 Vehicle performance curve trend fitting method, device, equipment and storage medium
CN113761799B (en) * 2021-08-31 2024-03-26 东风商用车有限公司 Vehicle performance curve trend fitting method, device, equipment and storage medium
CN114647013A (en) * 2022-03-18 2022-06-21 中山大学 Method, device and equipment for determining denudation amount and readable storage medium

Also Published As

Publication number Publication date
CN111723471B (en) 2024-01-19

Similar Documents

Publication Publication Date Title
US12117580B2 (en) Evaluation of rock physical properties from drill sounds through minimizing the effect of the drill bit rotation
CN111723471B (en) Method, device, equipment and storage medium for determining ablation thickness
CN104884974A (en) Systems and methods for 3d seismic data depth conversion utilizing artificial neural networks
CN112632852B (en) Karst area subway tunnel shield tunneling speed prediction method and device
CN105474046A (en) Creating virtual production logging tool profiles for improved history matching
JP7137889B2 (en) Prediction method of the lower limit of oil pool endowment depth of carbonatite in the deep-ultra-deep ocean facies
CN111783304A (en) Simulation analysis method and device for mine, equipment and storage medium
US20160138371A1 (en) Systems and Methods For Optimizing Existing Wells and Designing New Wells Based on the Distribution of Average Effective Fracture Lengths
CN116500700A (en) Method and system for detecting heat source mechanism of geothermal Tian Shen part and electronic equipment
CN116028798A (en) Water damage early warning data processing method, device, computer equipment and storage medium
US11636352B2 (en) Integrated advanced visualization tool for geosteering underbalanced coiled tubing drilling operations
WO2023154312A1 (en) Quantification of expressive experimental semi-variogram ranges uncertainties
US20230393303A1 (en) Integrated diagenetic-depositional facies (iddf) characterization and 3d geomodeling
CN110703328B (en) Overpressure interface identification method, device, equipment and storage medium
CN112127877B (en) Method, device, equipment and storage medium for predicting dynamic reserve of oil well
CN114168657A (en) Method, system, equipment and medium for detecting wind power abnormal data in real time
CN112925041B (en) Method, device, equipment and storage medium for determining development degree of reservoir fracture
CN110879920B (en) Method, device and system for acquiring ancient surface heat flow of sedimentary basin depression region
CN114329878A (en) Shale gas well small-layer dividing method, device, equipment and storage medium
CN110646846A (en) VIT medium anisotropy parameter determination method, device and equipment
CN113449427B (en) Method for determining shale pressure distribution
US11920467B2 (en) Minimization of drill string rotation rate effect on acoustic signal of drill sound
US20240273259A1 (en) Standardized relative permeability curves for green fields
CN113572852B (en) Redis information determining method, device, equipment and storage medium
US11500932B2 (en) Change-point driven feature selection for multi-variate time series clustering

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
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20220321

Address after: 510275 No. 135 West Xingang Road, Guangdong, Guangzhou

Applicant after: SUN YAT-SEN University

Address before: 200000 room 10904, building 3, No. 1800, Panyuan Road, Changxing Town, Chongming District, Shanghai

Applicant before: SHANGHAI TONGJI GEOLOGY TECHNOLOGY CO.,LTD.

GR01 Patent grant
GR01 Patent grant