CN112462423A - Method and device for predicting thickness of biological reef - Google Patents

Method and device for predicting thickness of biological reef Download PDF

Info

Publication number
CN112462423A
CN112462423A CN202011209056.XA CN202011209056A CN112462423A CN 112462423 A CN112462423 A CN 112462423A CN 202011209056 A CN202011209056 A CN 202011209056A CN 112462423 A CN112462423 A CN 112462423A
Authority
CN
China
Prior art keywords
biological reef
reef
slope
biological
front edge
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
Application number
CN202011209056.XA
Other languages
Chinese (zh)
Inventor
吴育林
彭才
梁虹
陈辉
江巍
肖东
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.)
China National Petroleum Corp
BGP Inc
Original Assignee
China National Petroleum Corp
BGP Inc
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 China National Petroleum Corp, BGP Inc filed Critical China National Petroleum Corp
Priority to CN202011209056.XA priority Critical patent/CN112462423A/en
Publication of CN112462423A publication Critical patent/CN112462423A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/30Analysis
    • G01V1/306Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/62Physical property of subsurface
    • G01V2210/624Reservoir parameters
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/64Geostructures, e.g. in 3D data cubes

Abstract

The invention provides a method and a device for predicting the thickness of an organism reef, wherein the method comprises the following steps: performing seismic interpretation on the fine horizon of the top boundary of the biological reef to determine a seismic depth horizon; selecting a control section along the Changxing top in a slope area at the front edge of the biological reef according to the determined seismic depth horizon and preset parameters; determining the gradient of a slope area at the front edge of the biological reef according to the selected control section; establishing a relation between the slope of the front edge of the biological reef and the thickness of the biological reef according to the determined slope of the slope area of the front edge of the biological reef and the thickness of the well-drilled biological reef known in advance; and determining the thickness of the biological reef of the area to be predicted according to the slope of the front edge slope area of the biological reef of the area to be predicted and the established relation between the slope of the front edge of the biological reef and the thickness of the biological reef. The method can accurately calculate the gradient change of the slope region of the front edge of the biological reef and determine the corresponding thickness of the formation of the biological reef. The method is efficient and convenient, and the working efficiency of the task is greatly improved. The problems of poor precision and low efficiency of the existing manual calculation are solved.

Description

Method and device for predicting thickness of biological reef
Technical Field
The invention relates to a seismic exploration technology, relates to a geophysical signal interpretation technology, and particularly relates to a method and a device for predicting the thickness of a biological reef.
Background
With the exploration and development of the gas reservoir of the biological reef, the seismic exploration is required to accurately predict the biological reef, and the important part is to predict the stratum thickness of the biological reef.
In the prior art, the exploration mode adopts naked eye identification and manual calculation, which not only wastes time and labor, but also has great calculation error.
Disclosure of Invention
In order to predict the accuracy of the thickness of the biological reef stratum, the invention provides a method for predicting the thickness of the biological reef, which comprises the following steps:
performing seismic interpretation on the fine horizon of the top boundary of the biological reef to determine a seismic depth horizon;
selecting a control section along the Changxing top in a slope area at the front edge of the biological reef according to the determined seismic depth horizon and preset parameters;
determining the gradient of a slope area at the front edge of the biological reef according to the selected control section;
establishing a relation between the slope of the front edge of the biological reef and the thickness of the biological reef according to the determined slope of the slope area of the front edge of the biological reef and the thickness of the well-drilled biological reef known in advance;
and determining the thickness of the biological reef of the area to be predicted according to the slope of the front edge slope area of the biological reef of the area to be predicted and the established relation between the slope of the front edge of the biological reef and the thickness of the biological reef.
In the embodiment of the invention, the step of performing seismic interpretation on the fine layer of the top boundary of the biological reef in the area to be predicted to determine the seismic depth layer comprises the following steps:
performing seismic interpretation on the top boundary fine layer of the biological reef in a time domain to establish a fine velocity field;
and converting the established fine velocity field from the time domain seismic horizon to the depth domain seismic horizon to determine a seismic depth horizon.
In the embodiment of the present invention, the preset parameters include: lateral separation distance, sampling interval.
In the embodiment of the invention, the step of counting the slope of the front edge slope region of the biological reef according to the selected control section comprises the following steps:
determining the stratigraphic dip angle of each control section according to the depth difference and the transverse distance of two end points of each control section;
and determining the gradient of the slope area of the front edge of the biological reef according to the determined stratum inclination angle of each control section.
Meanwhile, the invention also provides a device for predicting the thickness of the biological reef, which comprises:
the earthquake interpretation module is used for performing earthquake interpretation on the fine horizon of the top boundary of the biological reef to determine an earthquake depth horizon;
the control section selection module is used for selecting a control section along the chang top in a slope area at the front edge of the biological reef according to the determined seismic depth horizon and preset parameters;
the gradient determining module is used for determining the gradient of the slope area at the front edge of the biological reef according to the selected control section;
the relation establishing module is used for establishing the relation between the slope of the front edge of the biological reef and the thickness of the biological reef according to the determined slope of the front edge slope area of the biological reef and the known thickness of the well-drilled biological reef in advance;
and the prediction module is used for determining the thickness of the biological reef of the area to be predicted according to the slope of the front edge slope area of the biological reef of the area to be predicted and the established relation between the slope of the front edge of the biological reef and the thickness of the biological reef.
In the embodiment of the invention, the seismic interpretation module comprises:
the interpretation unit is used for carrying out seismic interpretation on the fine layer of the top boundary of the biological reef in a time domain to establish a fine velocity field;
and the conversion unit is used for converting the established fine velocity field from the time domain seismic horizon to the depth domain seismic horizon to determine the seismic depth horizon.
In an embodiment of the present invention, the gradient determining module includes:
the control section inclination angle determining unit is used for determining the stratum inclination angle of each control section according to the depth difference and the transverse distance of two end points of each control section;
and the statistical unit is used for determining the gradient of the slope area of the front edge of the biological reef according to the determined stratum inclination angle of each control section.
Meanwhile, the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the method when executing the computer program.
Meanwhile, the invention also provides a computer readable storage medium, and a computer program for executing the method is stored in the computer readable storage medium.
The method for predicting the thickness of the biological reef, provided by the invention, can determine the stratum gradient and the thickness of the biological reef and overcome the problems of poor accuracy and low efficiency of the conventional manual calculation.
In order to make the aforementioned and other objects, features and advantages of the invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for predicting a thickness of an organism reef according to the present invention;
FIG. 2 is a flow chart of a method for calculating a formation gradient and a thickness of an organism reef in an embodiment of the invention;
FIG. 3 is a plot of a fitted stratum slope and a thickness of a berm in an embodiment of the invention;
fig. 4 is a block diagram of an apparatus for predicting a thickness of a biological reef according to the present invention;
fig. 5 is a schematic diagram of an embodiment of an electronic device provided in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to solve the problem of low accuracy of the thickness prediction of the biological reef, the invention provides a method for predicting the thickness of the biological reef, which comprises the following steps of:
s101, performing seismic interpretation on the fine horizon of the top boundary of the biological reef to determine a seismic depth horizon;
step S102, selecting a control section along the Xingxing top in a slope area at the front edge of the biological reef according to the determined seismic depth horizon and preset parameters;
step S103, determining the gradient of the slope area at the front edge of the biological reef according to the selected control section;
step S104, establishing a relation between the slope of the front edge of the biological reef and the thickness of the biological reef according to the determined slope of the front edge slope area of the biological reef and the previously known thickness of the well-drilled biological reef;
and S105, determining the thickness of the biological reef of the area to be predicted according to the slope of the front edge slope area of the biological reef of the area to be predicted and the established relation between the slope of the front edge of the biological reef and the thickness of the biological reef.
According to the method for predicting the thickness of the biological reef, the control section is selected from the slope area of the front edge of the biological reef along the Changxing top according to the determined seismic depth horizon and preset parameters, the slope change of the slope area of the front edge of the biological reef can be accurately calculated according to the slope of the slope area of the front edge of the biological reef of the area to be predicted counted by the selected control section, and the corresponding thickness of the stratum of the biological reef is calculated.
In the embodiment of the invention, the step of performing seismic interpretation on the fine layer of the top boundary of the biological reef in the area to be predicted to determine the seismic depth layer comprises the following steps:
performing seismic interpretation on the top boundary fine layer of the biological reef in a time domain to establish a fine velocity field;
and converting the established fine velocity field from the time domain seismic horizon to the depth domain seismic horizon to determine a seismic depth horizon.
Specifically, the explanation of the fine layer of the top boundary of the biological reef in the time domain is carried out, the top boundary of the biological reef is calibrated on the earthquake through drilled wells, and the explanation of the fine layer of the top boundary of the biological reef in the time domain is carried out by the same-phase comparison of the earthquake;
establishing a fine velocity field, in the embodiment, establishing a relation between a seismic time domain and a depth domain through a known well, and converting a seismic horizon of the time domain into a stratum of the depth domain;
in the embodiment of the invention, a control section is selected along the Changxing top in a slope area at the front edge of the biological reef according to the determined seismic depth horizon and preset parameters, wherein the preset parameters comprise: lateral separation distance, sampling interval. Specifically, in this embodiment, based on the smooth stratum data of depth domain stratum, in biological reef leading edge slope district, select a plurality of control sections along the chang top, in this embodiment, preset control section parameter: the interval of 100m in the transverse direction is a control section, and 4 sampling intervals are arranged in the earthquake.
In the embodiment of the invention, the step of counting the slope of the front edge slope region of the biological reef according to the selected control section comprises the following steps:
determining the stratigraphic dip angle of each control section according to the depth difference and the transverse distance of two end points of each control section;
and determining the gradient of the slope area of the front edge of the biological reef according to the determined stratum inclination angle of each control section.
Specifically, the depth difference and the transverse distance between 2 first points of each section are calculated, in the embodiment, three functions are used for calculating the stratigraphic dip angle between two points, in the embodiment, the stratigraphic dip angles of the sections are averaged to obtain the slope of the front edge of the biological reef, and therefore the slope of the slope area of the front edge of the biological reef is determined according to the determined stratigraphic dip angles of the control sections.
The invention aims to provide a method for automatically determining the gradient of a stratum and the thickness of a biological reef, so as to solve the problems of poor precision and low efficiency of the existing manual calculation.
A specific flow of an embodiment of the present invention is shown in fig. 2, and in this embodiment, the biological reef thickness identification includes:
1. carrying out explanation on the fine horizon of the top boundary of the biological reef in a time domain; calibrating the top boundary of the biological reef on the earthquake through the drilled well, and carrying out the same-phase comparison and interpretation of the earthquake;
2. establishing a fine velocity field, establishing a relation between a seismic time domain and a seismic depth domain through a known well, and converting a seismic horizon of the time domain into a stratum of the depth domain;
3. on the basis of smooth stratum data, selecting a plurality of control sections in a slope area of the front edge of the biological reef along the Changxing top, wherein the control sections are horizontally spaced by 100m and are used as one control section, calculating the depth difference and the horizontal distance between 2 points at the head of each section at 4 sampling intervals in the earthquake, calculating the stratum dip angle between two points by using three functions, and averaging the stratum dip angle of each section to obtain the gradient of the front edge of the biological reef;
4. establishing a function relation between the slope of the slope region of the front edge of the biological reef in the drilled well region and the thickness of the stratum of the biological reef at the platform edge, and performing scatter fitting as shown in figure 3 and fitting a relational expression as shown in figure 2;
5. and (4) outputting the thickness of the biological reef stratum in the non-drilled well area according to the functional relation established in the step (4) as shown in figure 3, and drawing.
The implementation of the present invention is further explained as follows:
1. the seismic depth horizon with the 1 multiplied by 1 network measurement density is derived from seismic interpretation software, and is arranged according to the format specification of line number, track number, x coordinate, y coordinate and depth, and a plurality of control sections (one control section is arranged at an interval of 100m in the horizontal direction, and 4 sampling intervals are arranged in the earthquake) are selected along the Changxing top according to geological requirements.
2. And (3) calculating the depth difference and the transverse distance between 2 first points of each section, and calculating the formation dip angle between two points by utilizing a trigonometric function (ill-meaning Ha).
3. And counting the slope average value of the leading edge slope region.
4. Establishing a relation between the gradient and the thickness of the biological reef according to a known well;
5. and (4) predicting the thickness of the biological reef in the unknown region according to the relationship established in the step (4) so as to provide a basis for well drilling.
The invention provides a method for predicting the thickness of an organism reef, and particularly provides a method for predicting the thickness of an organism reef by the gradient of a slope area at the front edge of the organism reef, which can accurately calculate the gradient change of the slope area at the front edge of the organism reef and determine the corresponding thickness of an organism reef stratum. The method is efficient and convenient, and the working efficiency of the task is greatly improved. The problems of poor precision and low efficiency of the existing manual calculation are solved.
Meanwhile, the present invention also provides an apparatus for predicting a thickness of an organism reef, as shown in fig. 4, the apparatus comprising:
the seismic interpretation module 401 is used for performing seismic interpretation on the fine horizon of the top boundary of the biological reef to determine a seismic depth horizon;
a control section selection module 402, configured to select a control section along the happy top in the slope area at the front edge of the biological reef according to the determined seismic depth horizon and preset parameters;
the gradient determining module 403 is used for determining the gradient of the slope area at the front edge of the biological reef according to the selected control section;
a relation establishing module 404, configured to establish a relation between the slope of the leading edge of the biological reef and the thickness of the biological reef according to the determined slope of the leading edge of the biological reef and the previously known thickness of the well-drilled biological reef;
the prediction module 405 is configured to determine the thickness of the biological reef in the area to be predicted according to the slope of the front edge slope area of the biological reef in the area to be predicted and the established relation between the slope of the front edge of the biological reef and the thickness of the biological reef.
In the embodiment of the present invention, the seismic interpretation module 401 includes:
the interpretation unit is used for carrying out seismic interpretation on the fine layer of the top boundary of the biological reef in a time domain to establish a fine velocity field;
and the conversion unit is used for converting the established fine velocity field from the time domain seismic horizon to the depth domain seismic horizon to determine the seismic depth horizon.
In this embodiment of the present invention, the gradient determining module 403 includes:
the control section inclination angle determining unit is used for determining the stratum inclination angle of each control section according to the depth difference and the transverse distance of two end points of each control section;
and the statistical unit is used for determining the gradient of the slope area of the front edge of the biological reef according to the determined stratum inclination angle of each control section.
The present embodiment also provides an electronic device, which may be a desktop computer, a tablet computer, a mobile terminal, and the like, but is not limited thereto. In this embodiment, the electronic device may refer to the contents of the foregoing embodiments, and the contents thereof are incorporated herein, and repeated descriptions thereof are omitted.
Fig. 5 is a schematic block diagram of a system configuration of an electronic apparatus 600 according to an embodiment of the present invention. As shown in fig. 5, the electronic device 600 may include a central processor 100 and a memory 140; the memory 140 is coupled to the central processor 100. Notably, this diagram is exemplary; other types of structures may also be used in addition to or in place of the structure to implement telecommunications or other functions.
In one embodiment, the biological reef thickness prediction function may be integrated into the central processor 100. The central processor 100 may be configured to control as follows:
the method for predicting the thickness of the biological reef comprises the following steps:
performing seismic interpretation on the fine horizon of the top boundary of the biological reef to determine a seismic depth horizon;
selecting a control section along the Changxing top in a slope area at the front edge of the biological reef according to the determined seismic depth horizon and preset parameters;
determining the gradient of a slope area at the front edge of the biological reef according to the selected control section;
establishing a relation between the slope of the front edge of the biological reef and the thickness of the biological reef according to the determined slope of the slope area of the front edge of the biological reef and the thickness of the well-drilled biological reef known in advance;
and determining the thickness of the biological reef of the area to be predicted according to the slope of the front edge slope area of the biological reef of the area to be predicted and the established relation between the slope of the front edge of the biological reef and the thickness of the biological reef.
As shown in fig. 5, the electronic device 600 may further include: communication module 110, input unit 120, audio processing unit 130, display 160, power supply 170. It is noted that the electronic device 600 does not necessarily include all of the components shown in fig. 5; furthermore, the electronic device 600 may also comprise components not shown in fig. 5, which may be referred to in the prior art.
As shown in fig. 5, the central processor 100, sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, the central processor 100 receiving input and controlling the operation of the various components of the electronic device 600.
The memory 140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 100 may execute the program stored in the memory 140 to realize information storage or processing, etc.
The input unit 120 provides input to the cpu 100. The input unit 120 is, for example, a key or a touch input device. The power supply 170 is used to provide power to the electronic device 600. The display 160 is used to display an object to be displayed, such as an image or a character. The display may be, for example, an LCD display, but is not limited thereto.
The memory 140 may be a solid state memory such as Read Only Memory (ROM), Random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 140 may also be some other type of device. Memory 140 includes buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application/function storage section 142, and the application/function storage section 142 is used to store application programs and function programs or a flow for executing the operation of the electronic device 600 by the central processing unit 100.
The memory 140 may also include a data store 143, the data store 143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by the electronic device. The driver storage portion 144 of the memory 140 may include various drivers of the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging application, address book application, etc.).
The communication module 110 is a transmitter/receiver 110 that transmits and receives signals via an antenna 111. The communication module (transmitter/receiver) 110 is coupled to the central processor 100 to provide an input signal and receive an output signal, which may be the same as in the case of a conventional mobile communication terminal.
Based on different communication technologies, a plurality of communication modules 110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, may be provided in the same electronic device. The communication module (transmitter/receiver) 110 is also coupled to a speaker 131 and a microphone 132 via an audio processor 130 to provide audio output via the speaker 131 and receive audio input from the microphone 132 to implement general telecommunications functions. Audio processor 130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, an audio processor 130 is also coupled to the central processor 100, so that recording on the local can be enabled through a microphone 132, and so that sound stored on the local can be played through a speaker 131.
Embodiments of the present invention also provide a computer-readable program, where the program, when executed in an electronic device, causes a computer to execute the method for predicting a thickness of a biological reef in the electronic device according to the above embodiments.
Embodiments of the present invention also provide a storage medium storing a computer-readable program, wherein the computer-readable program enables a computer to perform the biological reef thickness prediction in an electronic device according to the above embodiments.
The preferred embodiments of the present invention have been described above with reference to the accompanying drawings. The many features and advantages of the embodiments are apparent from the detailed specification, and thus, it is intended by the appended claims to cover all such features and advantages of the embodiments that fall within the true spirit and scope thereof. Further, since numerous modifications and changes will readily occur to those skilled in the art, it is not desired to limit the embodiments of the invention to the exact construction and operation illustrated and described, and accordingly, all suitable modifications and equivalents may be resorted to, falling within the scope thereof.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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.
The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. A method for predicting the thickness of an organism reef, which is characterized by comprising the following steps:
performing seismic interpretation on the fine horizon of the top boundary of the biological reef to determine a seismic depth horizon;
selecting a control section along the Changxing top in a slope area at the front edge of the biological reef according to the determined seismic depth horizon and preset parameters;
determining the gradient of a slope area at the front edge of the biological reef according to the selected control section;
establishing a relation between the slope of the front edge of the biological reef and the thickness of the biological reef according to the determined slope of the slope area of the front edge of the biological reef and the thickness of the well-drilled biological reef known in advance;
and determining the thickness of the biological reef of the area to be predicted according to the slope of the front edge slope area of the biological reef of the area to be predicted and the established relation between the slope of the front edge of the biological reef and the thickness of the biological reef.
2. The method for predicting the thickness of a biological reef as claimed in claim 1, wherein the seismic interpretation of the fine horizon of the top boundary of the biological reef to determine the seismic depth horizon comprises:
performing seismic interpretation on the top boundary fine layer of the biological reef in a time domain to establish a fine velocity field;
and converting the established fine velocity field from the time domain seismic horizon to the depth domain seismic horizon to determine a seismic depth horizon.
3. The method for predicting the thickness of an organic reef as claimed in claim 1, wherein the preset parameters comprise: lateral separation distance, sampling interval.
4. The method for predicting the thickness of a biological reef in accordance with claim 1 wherein determining the slope of the sloped region of the leading edge of the biological reef in accordance with the selected control section comprises:
determining the stratigraphic dip angle of each control section according to the depth difference and the transverse distance of two end points of each control section;
and determining the gradient of the slope area of the front edge of the biological reef according to the determined stratum inclination angle of each control section.
5. An apparatus for predicting a thickness of a biological reef, the apparatus comprising:
the earthquake interpretation module is used for performing earthquake interpretation on the fine horizon of the top boundary of the biological reef to determine an earthquake depth horizon;
the control section selection module is used for selecting a control section along the chang top in a slope area at the front edge of the biological reef according to the determined seismic depth horizon and preset parameters;
the gradient determining module is used for determining the gradient of the slope area at the front edge of the biological reef according to the selected control section;
the relation establishing module is used for establishing the relation between the slope of the front edge of the biological reef and the thickness of the biological reef according to the determined slope of the front edge slope area of the biological reef and the known thickness of the well-drilled biological reef in advance;
and the prediction module is used for determining the thickness of the biological reef of the area to be predicted according to the slope of the front edge slope area of the biological reef of the area to be predicted and the established relation between the slope of the front edge of the biological reef and the thickness of the biological reef.
6. The apparatus of claim 5, wherein the seismic interpretation module comprises:
the interpretation unit is used for carrying out seismic interpretation on the fine layer of the top boundary of the biological reef in a time domain to establish a fine velocity field;
and the conversion unit is used for converting the established fine velocity field from the time domain seismic horizon to the depth domain seismic horizon to determine the seismic depth horizon.
7. The apparatus of claim 5, wherein the predetermined parameters comprise: lateral separation distance, sampling interval.
8. The apparatus of claim 5, wherein the gradient determining module comprises:
the control section inclination angle determining unit is used for determining the stratum inclination angle of each control section according to the depth difference and the transverse distance of two end points of each control section;
and the gradient determining unit is used for determining the gradient of the slope area of the front edge of the biological reef according to the determined stratum inclination angle of each control section.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 4.
CN202011209056.XA 2020-11-03 2020-11-03 Method and device for predicting thickness of biological reef Pending CN112462423A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011209056.XA CN112462423A (en) 2020-11-03 2020-11-03 Method and device for predicting thickness of biological reef

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011209056.XA CN112462423A (en) 2020-11-03 2020-11-03 Method and device for predicting thickness of biological reef

Publications (1)

Publication Number Publication Date
CN112462423A true CN112462423A (en) 2021-03-09

Family

ID=74834885

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011209056.XA Pending CN112462423A (en) 2020-11-03 2020-11-03 Method and device for predicting thickness of biological reef

Country Status (1)

Country Link
CN (1) CN112462423A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114167499A (en) * 2021-12-02 2022-03-11 大庆油田有限责任公司 Method and device for automatically identifying biological reef, electronic equipment and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103488971A (en) * 2013-09-06 2014-01-01 电子科技大学 Method for identifying geometrical morphology of organic reef storage layer
AU2014268263A1 (en) * 2011-08-15 2014-12-18 Chevron U.S.A. Inc. System and method for subsurface characterization including uncertainty estimation
CN109597126A (en) * 2018-12-19 2019-04-09 中国地质大学(北京) A kind of carbonate platform marginal texture meticulous depiction and prediction technique
CN110568488A (en) * 2018-06-06 2019-12-13 中国石油化工股份有限公司 Biological reef reservoir identification method based on nonlinear chaotic algorithm
CN110579803A (en) * 2019-10-21 2019-12-17 中国石油集团东方地球物理勘探有限责任公司 earthquake interpretation method for identifying biological reef body

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2014268263A1 (en) * 2011-08-15 2014-12-18 Chevron U.S.A. Inc. System and method for subsurface characterization including uncertainty estimation
CN103488971A (en) * 2013-09-06 2014-01-01 电子科技大学 Method for identifying geometrical morphology of organic reef storage layer
CN110568488A (en) * 2018-06-06 2019-12-13 中国石油化工股份有限公司 Biological reef reservoir identification method based on nonlinear chaotic algorithm
CN109597126A (en) * 2018-12-19 2019-04-09 中国地质大学(北京) A kind of carbonate platform marginal texture meticulous depiction and prediction technique
CN110579803A (en) * 2019-10-21 2019-12-17 中国石油集团东方地球物理勘探有限责任公司 earthquake interpretation method for identifying biological reef body

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
吴勇 等: "基于坡度属性的生物礁边界精细预测方法――以四川盆地罗顶寨地区二叠系长兴组为例", 石油勘探与开发, vol. 44, no. 06, pages 907 - 918 *
张兵 等: "开江―梁平台内海槽东段长兴组礁滩相储层识别标志及其预测", 高校地质学报, vol. 15, no. 02, pages 273 - 284 *
张延充 等: "泛开江―梁平海槽及勘探有利相带地震预测", 天然气工业, vol. 29, no. 10, pages 28 - 30 *
彭才 等: "川东高峰场地区长兴组生物礁地震预测", 石油物探, vol. 52, no. 02, pages 207 - 211 *
彭才 等: "开江—梁平海槽东侧长兴组生物礁发育主控因素及地震精细预测技术", 石油实验地质, vol. 41, no. 04, pages 614 - 620 *
武恒志 等: "川东北元坝地区长兴组生物礁发育模式与储层预测", 石油与天然气地质, vol. 38, no. 04, pages 645 - 657 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114167499A (en) * 2021-12-02 2022-03-11 大庆油田有限责任公司 Method and device for automatically identifying biological reef, electronic equipment and storage medium
CN114167499B (en) * 2021-12-02 2022-08-26 大庆油田有限责任公司 Method and device for automatically identifying biological reef, electronic equipment and storage medium

Similar Documents

Publication Publication Date Title
US20150351073A1 (en) Location based application feature notification
CN112462423A (en) Method and device for predicting thickness of biological reef
CN113586042B (en) Method and device for determining dynamic permeability of pore type carbonate rock
CN114580143B (en) Dynamic prediction method and related device for water inflow of mine
CN115480296A (en) Method and device for predicting natural gas hydrate stable zone bottom boundary
CN113622901B (en) Shale oil reservoir quality analysis method, device, equipment and medium
CN111751879A (en) Reservoir porosity prediction method and device
CN112255679A (en) Seismic data diffraction depth migration processing method and device
CN111971452A (en) Permeability prediction using interconnected reservoir region maps
CN114329878A (en) Shale gas well small-layer dividing method, device, equipment and storage medium
CN112523740A (en) Rock type identification method and device for ultra-deep sea underground oil and gas exploration
CN112464144A (en) Method and device for calculating residual reserves
CN114325869A (en) Low-angle seam identification method and device
CN112711064B (en) Initial layer velocity modeling method and device
CN115898365A (en) Method and device for calculating residual gas production capacity
CN112305605A (en) Method and device for tracing seismic horizon of igneous rock top boundary
CN112925019A (en) Method and device for identifying pore type dolomite
CN112668136B (en) Gas well development effect analysis method and device
CN116151043B (en) Pose inversion method and device for scraper conveyor
CN115798181B (en) Landslide early warning method, device, equipment and medium based on declination ratio
CN116699688A (en) Walking and sliding fault identification method and system
CN115929278A (en) Residual inspiratory capacity calculation method and device
CN113376687A (en) Method and system for guiding seismic data interpretation by using structural physical simulation
CN117468921A (en) Drilling monitoring method and device for horizontal well or highly-deviated well
CN112540405A (en) Method and device for determining inclined fault motion track and storage medium

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