CN114325869A

CN114325869A - Low-angle seam identification method and device

Info

Publication number: CN114325869A
Application number: CN202011072077.1A
Authority: CN
Inventors: 李长海; 赵伦; 孙猛; 赵文琪; 范子菲; 李建新; 王淑琴; 陈松
Original assignee: Petrochina Co Ltd
Current assignee: Petrochina Co Ltd
Priority date: 2020-10-09
Filing date: 2020-10-09
Publication date: 2022-04-12

Abstract

The invention provides a low-angle seam identification method and a low-angle seam identification device, wherein the method comprises the following steps: acquiring resistivity data, porosity data and imaging logging data of a target area; generating a resistivity crack identification result according to the resistivity data; generating a porosity fracture identification result according to the porosity data; and identifying the low-angle seam according to the resistivity seam identification result, the porosity seam identification result and the imaging logging data. The method realizes the aim of comprehensively identifying the low-angle cracks by using the resistivity invasion correction difference method and the three-porosity ratio method, fully exerts the advantage that the resistivity invasion correction difference method can identify the dip angle of the cracks, simultaneously exerts the advantages that the three-porosity ratio method has good identification effect on the low-angle cracks and can predict the development strength of the cracks, and realizes better identification on the low-angle cracks. Provides guidance for the adjustment of the subsequent oil field development scheme and the development of water injection.

Description

Low-angle seam identification method and device

Technical Field

The invention relates to a geological exploration technology, in particular to a low-angle seam identification method and a low-angle seam identification device.

Background

Fractures develop extensively in carbonate reservoirs, with 12 of the 35 large carbonate reservoirs found in the world today developing natural fractures, accounting for 34%. The fracture has important influence on the oil-water seepage direction and the seepage speed of underground fluid, so that the fracture prediction is one of important issues of oil field development and research.

In the prior art, research on crack problems mainly focuses on prediction of high-angle structural cracks (structural crack angle is greater than 30 °), and the identification and prediction of the high-angle structural cracks by the prior people can be summarized into 5 methods: (1) predicting cracks by well logging and seismic information methods; (2) predicting cracks by a numerical simulation method; (3) predicting cracks by a dynamic data method; (4) other qualitative methods predict fractures (e.g., distance from fault, structural location, etc.); (5) and predicting the cracks by a nonlinear theory method. The logging and seismic information methods in the methods are the methods with the best application effect in the mine field at present. The methods are mainly used for constructing the seam with high angles, the research on the seam with low angles is relatively less, and the identification and prediction of the seam with low angles are still difficult at present.

Disclosure of Invention

In order to identify a low-angle seam and at least solve one defect in the prior art, the invention provides a low-angle seam identification method, which comprises the following steps:

acquiring resistivity data, porosity data and imaging logging data of a target area;

generating a resistivity crack identification result according to the resistivity data;

generating a porosity fracture identification result according to the porosity data;

and identifying the low-angle seam according to the resistivity seam identification result, the porosity seam identification result and the imaging logging data.

In an embodiment of the present invention, the resistivity data includes: shallow lateral resistivity, deep lateral resistivity, and invasion corrected formation true resistivity values;

the porosity data comprises: neutron porosity, density porosity, and acoustic porosity.

In an embodiment of the present invention, the generating a resistivity fracture identification result according to the resistivity data includes:

and generating a resistivity crack identification result by utilizing a resistivity invasion correction difference ratio method according to the resistivity data.

In an embodiment of the present invention, the generating a porosity fracture identification result according to the porosity data includes:

and generating a porosity crack identification result by using a three-porosity identification method according to the porosity data.

generating and determining a depth-depth double lateral difference ratio according to a shallow lateral resistivity value, an invasion corrected formation true resistivity value and the following formula in the resistivity data;

generating a resistivity crack identification result according to the determined depth-lateral difference ratio;

wherein RTC is the ratio of depth-lateral difference to lateral difference, R_llsIs a shallow lateral resistivity value, R_tA formation true resistivity value corrected for invasion;

wherein R is_t＝2.589R_lld-1.589R_lls，R_lldThe deep lateral resistivity value.

determining total porosity from the neutron porosity, density porosity and the following equation in the porosity data;

determining secondary porosity according to the determined total porosity, acoustic porosity and the following formula;

generating a porosity crack identification result according to the determined secondary porosity;

wherein phi_NIs neutron porosity, phi_DIs density porosity,. phi_SIs the acoustic porosity, phi_TIs the total porosity;

wherein R is_pSecondary porosity.

In the embodiment of the invention, the identifying the low-angle seam according to the identifying result of the resistivity seam, the identifying result of the porosity seam and the imaging logging data comprises the following steps:

respectively comparing the resistivity crack identification result and the porosity crack identification result with the imaging logging data to judge whether the low-angle crack identification rate of the resistivity crack identification result is higher than a preset threshold value;

determining that the low-angle seam recognition rate of the resistivity seam recognition result is higher than a preset threshold value, and taking the porosity seam recognition result corresponding to the well section with the depth-lateral difference ratio smaller than zero as a low-angle seam recognition result;

and determining that the low-angle seam recognition rate of the resistivity seam recognition result is not higher than the preset threshold value, zeroing the porosity seam recognition result of the well section with the depth-lateral difference ratio being greater than or equal to zero, and taking the partially zeroed porosity seam recognition result as the low-angle seam recognition result.

In the embodiment of the invention, the preset threshold is 70%. Meanwhile, the invention also provides a low-angle seam recognition device, which comprises:

the data acquisition module is used for acquiring resistivity data, porosity data and imaging logging data of a target area;

the resistivity crack identification module is used for generating a resistivity crack identification result according to the resistivity data;

the porosity fracture identification module is used for generating a porosity fracture identification result according to the porosity data;

and the low-angle seam identification module is used for identifying the low-angle seam according to the resistivity seam identification result, the porosity seam identification result and the imaging logging data.

In the embodiment of the present invention, the generating of the resistivity crack identification result by the resistivity crack identification module according to the resistivity data includes:

In an embodiment of the present invention, the generating a porosity fracture identification result by the porosity fracture identification module according to the porosity data includes:

In an embodiment of the present invention, the resistivity crack identification module includes:

the difference ratio determining unit is used for generating and determining a depth-depth double-lateral difference ratio according to a shallow lateral resistivity value, an invasion corrected formation true resistivity value and the following formula in the resistivity data;

the resistivity crack identification unit is used for generating a resistivity crack identification result according to the determined depth-lateral difference ratio;

wherein, RTC is the ratio of depth to lateral difference, R_llsIs a shallow lateral resistivity value, R_tA formation true resistivity value corrected for invasion;

In an embodiment of the present invention, the porosity fracture identification module includes:

the total porosity determining unit is used for determining the total porosity according to the neutron porosity, the density porosity and the following formula in the porosity data;

secondary porosity for determining secondary porosity according to the determined total porosity, acoustic porosity and the following formula;

the pore crack identification unit is used for generating a porosity crack identification result according to the determined secondary porosity;

wherein R is_pSecondary porosity.

In an embodiment of the present invention, the low-angle seam identification module includes:

the comparison unit is used for respectively comparing the resistivity crack identification result and the porosity crack identification result with the imaging logging data so as to judge whether the low-angle crack identification rate of the resistivity crack identification result is higher than a preset threshold value;

the identification unit is used for determining that the low-angle seam identification rate of the resistivity fracture identification result is higher than a preset threshold value, and taking the porosity fracture identification result corresponding to the well section with the depth-lateral difference ratio smaller than zero as a low-angle seam identification result;

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.

According to the low-angle seam identification scheme provided by the invention, the low-angle seam is identified only by processing the three-porosity-ratio-method, the aim of identifying the low-angle seam by comprehensively using the resistivity invasion correction difference ratio method and the three-porosity-ratio-method is realized, the advantage that the dip angle of the seam can be identified by the resistivity invasion correction difference ratio method is fully exerted, the advantages that the low-angle seam identification effect is good and the development strength of the seam can be predicted by the three-porosity-ratio-method are exerted, and the good identification of the low-angle seam is realized. Provides guidance for the subsequent oil field development scheme deployment and oil field flooding development.

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 flow chart of a low angle seam identification method provided by the present invention;

FIG. 2 is a block diagram of a low angle seam identification device provided by the present invention;

FIG. 3 is a schematic diagram of an embodiment of the present invention;

FIG. 4 is a schematic illustration of an embodiment of the present invention;

FIG. 5 is a schematic illustration of an embodiment of the present invention;

fig. 6 is a schematic diagram 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.

Taking well logging and seismic information methods as examples, it is difficult to effectively distinguish the formation from the low angle seam due to the limitation of seismic data resolution. Logging is a method which can meet the accuracy requirement of low angle seam prediction at present. Based on conventional logging data, a resistivity invasion correction difference ratio method based on depth and depth double lateral directions and crack identification methods based on density logging, neutron logging, three-porosity ratio method of acoustic logging and the like are mainly provided. A resistivity invasion correction difference ratio method based on conventional logging depth and depth double-lateral curves is the only conventional logging method capable of identifying the dip angle of a crack in the prior art, but due to the influence of the properties of fluid in the crack and the filling degree of the crack, the reliability of low-angle seam prediction is poor at present, and the prediction effect on high-angle seams and oblique seams (more than 30 degrees) is good. In addition, the resistivity invasion correction contrast method can only identify whether or not a crack is developing, and it is difficult to predict the strength of crack development. The three-porosity ratio method can be used for well identifying the cracks with different inclination angles, and particularly has a good prediction effect on low-angle cracks.

The invention provides a low-angle seam identification method by combining a resistivity invasion correction difference ratio method and a three-porosity ratio method, and the low-angle seam identification method comprises the following steps as shown in figure 1:

s101, acquiring resistivity data, porosity data and imaging logging data of a target area;

step S102, generating a resistivity crack identification result according to the resistivity data;

step S103, generating a porosity crack identification result according to the porosity data;

and S104, identifying a low-angle seam according to the resistivity seam identification result, the porosity seam identification result and the imaging logging data.

In the prior art, a part of oil fields have the phenomenon of mass development of low-angle cracks, so that the distribution of the cracks needs to be accurately predicted, and guidance is provided for the deployment of oil field development schemes. The method respectively identifies the cracks by using a resistivity invasion correction difference ratio method and a three-porosity ratio method, and then plays the advantage of the resistivity invasion correction difference ratio method in identifying the inclination angle of the cracks, because the resistivity invasion correction difference ratio method in the embodiment has poor identification effect (the identification rate is lower than 70%) on the low-angle cracks, the high-angle cracks and the oblique cracks identified by the resistivity invasion correction difference ratio method are used as judgment to screen the high-angle cracks and the oblique cracks identified by the three-porosity ratio method according to the high-angle cracks and the oblique cracks identified by the three-porosity ratio method, and then the high-angle cracks and the oblique cracks identified by the part of the high-angle cracks and the oblique cracks are operated (for example, the existing Petrel software is adopted), so that the cracks identified by the three-porosity ratio method are only the low-angle cracks. The method realizes the aim of comprehensively identifying the low-angle cracks by using the resistivity invasion correction difference method and the three-porosity ratio method, gives full play to the advantage that the resistivity invasion correction difference method can identify the dip angle of the cracks, gives full play to the advantages that the three-porosity ratio method has good identification effect on the low-angle cracks and can predict the development strength of the cracks, and realizes better identification on the low-angle cracks. Provides guidance for the adjustment of the subsequent oil field development scheme and the development of oil field flooding.

In an embodiment of the present invention, the resistivity data includes: shallow lateral resistivity, deep lateral resistivity;

in this embodiment, based on the obtained resistivity data, the resistivity invasion correction contrast method is used to identify the cracks with different inclination angles in the research area, and the steps of predicting the cracks by the resistivity invasion correction contrast method are as follows:

in the formula, RTC is the ratio of depth-depth double lateral difference;

R_llsshallow lateral resistivity values;

R_tcorrected formation true resistivity value for invasion, calculated as R_t＝2.589R_lld-1.589R_lls；

Wherein R is_lldThe deep lateral resistivity value.

When RTC is more than 0, the dual laterolog curve is positive abnormal and is a high angle seam; when RTC equals 0, it is oblique intersection seam, when RTC < 0, the double laterolog curve is negative anomaly, it is low angle seam.

The porosity data comprises: neutron porosity, density porosity, and acoustic porosity;

in this embodiment, the cracks of the research area at different inclination angles are identified based on a three-porosity ratio method according to the acquired porosity data, and the three-porosity ratio method for identifying the cracks of the research area includes the following steps:

in the formula phi_NIs neutron porosity;

Φ_Ddensity porosity;

Φ_Sis the acoustic porosity;

Φ_Tas a total porosity。

Wherein neutron and density logs represent the total porosity, and sonic logs reflect the porosity of the rock matrix, thereby creating R_pMainly reflects the size of the secondary porosity.

When R is_pWhen the surface area is more than 0, secondary reservoir space development is indicated, namely cracks, erosion holes, microcracks and the like, R_pLarger cracks develop.

Specifically, it is determined that the low-angle seam recognition rate of the resistivity fracture recognition result is higher than a preset threshold, that is, if the depth-depth double lateral difference ratio is high (the threshold is determined by the preset threshold in this embodiment and is 70%), the depth-depth double lateral difference ratio is smaller than zero for recognition, and the porosity fracture recognition result corresponding to the well section with the depth-depth double lateral difference ratio smaller than zero is used as the low-angle seam recognition result;

and if the depth double lateral difference ratio is low (less than 70%) to the low-angle seam recognition rate, determining that the depth double lateral difference ratio is greater than or equal to zero to judge the crack inclination angle, and returning the three-porosity curve value of the well section with the depth double lateral difference ratio greater than or equal to zero.

Specifically, in the embodiment of the invention, the crack results identified by the resistivity invasion correction difference ratio method and the three-porosity ratio method are compared with the imaging logging, and in the embodiment of the invention, the crack identification results of the conventional logging pair are respectively counted by taking the crack inclination angle of 30 degrees as a boundary, namely the identification results of the high-angle seam, the oblique intersection seam and the low-angle seam in the research area by the resistivity invasion correction difference ratio method and the three-porosity ratio method.

And if the low-angle seam identification effect is good by the resistivity intrusion correction difference method, judging the identification result of the three-porosity ratio method by using RTC (real time clock) less than 0. If the RTC is less than zero, the three-porosity ratio method is considered to identify the low-angle seam, and the result of the three-porosity ratio method is kept unchanged; if the condition is not met, the crack identified by the three-porosity-ratio method is a high-angle crack, and the result identified by the three-porosity-ratio method is reduced to 0. Therefore, the aim of identifying and predicting the development strength of the low-angle seam based on two technologies is fulfilled.

And if the low-angle seam identification effect is poor by the resistivity intrusion correction difference ratio method, judging the identification result of the three-porosity ratio method by using RTC (real time clock) which is more than or equal to 0. If the RTC is more than or equal to zero, the three-porosity ratio method is considered to identify high-angle seams or oblique intersecting seams, and the result of the three-porosity ratio method is returned to zero; if the RTC condition is not satisfied, the crack identified by the three-porosity ratio method is a low-angle crack or no crack, and the result identified by the three-porosity ratio method is not changed. Therefore, the aim of identifying and predicting the development strength of the low-angle seam based on two technologies is fulfilled.

In the embodiment of the invention, the resistivity invasion correction difference method has extremely poor low-angle seam recognition effect in partial areas, and is mainly related to the influence of the fluid property in cracks and the filling degree of the cracks, and another idea can be adopted for judging the recognition result of the three-porosity ratio method by using RTC (real time clock) more than or equal to 0:

if the RTC is equal to or larger than zero, the three-porosity ratio method is considered to identify the high-angle seam, and the result identified by the three-porosity ratio method is reduced to 0. If the condition is not met, the crack identified by the three-porosity ratio method is a low-angle crack, the result of the three-porosity ratio method is kept unchanged, and the goal of identifying and predicting the development strength of the low-angle crack based on the two technologies is achieved.

The prediction of the low-angle crack problem is relatively less researched at present, the crack distribution problem is not known clearly, the injected water channeling is fast after the oilfield flooding development, the oil well is easy to flood and shut down or transfer earlier, and the oilfield development effect is extremely poor. The method comprehensively uses the resistivity invasion correction difference method and the three-porosity ratio method, exerts the advantage that the resistivity invasion correction difference method can judge the inclination angle of the crack, and simultaneously utilizes the advantages that the three-porosity ratio method has high low-angle crack recognition rate and can predict the strength of the crack. Therefore, the low-angle seam can be identified with a high identification rate, the development strength of the low-angle seam can be predicted, and a foundation is laid for prediction of the low-angle seam between wells. By effectively identifying and predicting the low-angle seam, guidance is provided for deployment of an oil field development scheme and optimization of a well pattern.

Meanwhile, the present invention also provides a low angle seam recognition apparatus, as shown in fig. 2, including:

the data acquisition module 201 is used for acquiring resistivity data, porosity data and imaging logging data of a target area;

the resistivity crack identification module 202 is used for generating a resistivity crack identification result according to the resistivity data;

the porosity fracture identification module 203 is used for generating a porosity fracture identification result according to the porosity data;

and the low-angle seam identification module 204 is used for performing low-angle seam identification according to the resistivity seam identification result, the porosity seam identification result and the imaging logging data.

determining whether the low-angle seam identification effect is good or bad according to the resistivity seam identification result, and judging whether the depth-depth double-lateral-difference ratio is smaller than zero or the depth-depth double-lateral-difference ratio is larger than or equal to zero according to the crack inclination angle;

If the resistivity invasion correction difference ratio method has a good low-angle seam identification effect, the depth bilateral difference ratio is smaller than zero, the result of the three-porosity ratio method is unchanged, the result of the three-porosity ratio method is returned to zero in the well section which does not meet the condition that the depth bilateral difference ratio is smaller than zero, and the processed result of the porosity seam identification is used as low-angle seam identification;

and if the low-angle seam identification effect is poor by the resistivity intrusion correction difference ratio method, judging the identification result of the three-porosity ratio method by using RTC (real time clock) which is more than or equal to 0. If the RTC is more than or equal to zero, the three-porosity ratio method is considered to identify high-angle seams or oblique intersecting seams, and the result of the three-porosity ratio method is returned to zero; if the RTC condition is not satisfied, the crack identified by the three-porosity ratio method is a low-angle crack or no crack, and the result identified by the three-porosity ratio method is not changed.

For those skilled in the art, the detailed implementation of the low-angle seam identification device of the present invention can be clearly understood from the foregoing description of the embodiments, and will not be described herein again.

The invention borrows the results of identifying the cracks by a resistivity invasion correction difference ratio method and a three-porosity ratio method. According to the method, the high-angle seam and the oblique seam identified by the three-porosity ratio method are removed based on the result of identifying the high-angle seam by the resistivity intrusion correction difference ratio method, and the aim of identifying the low-angle seam in the research area by the three-porosity ratio method is fulfilled.

According to the method, the high-angle seams and the oblique seams are successfully identified by using the resistivity invasion correction difference ratio method, so that the high-angle seams and the oblique seams in all the seams identified by the three-porosity ratio method are removed, the purposes of identifying the low-angle seams and reflecting the development strength of the low-angle seams by the three-porosity ratio method are achieved, the advantage of high identification rate of the low-angle seams by the three-porosity ratio method is exerted, and the identification and prediction of the low-angle seams are achieved with high identification rate.

Fig. 3 is a schematic flow chart of the present embodiment. FIG. 4 is a diagram illustrating the comprehensive identification of low angle slot templates by resistivity intrusion and three-porosity ratio methods in accordance with an embodiment of the present invention.

Fig. 5 is a schematic diagram illustrating the result of predicting a low-angle seam in a certain area according to the technical solution of the present invention.

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 embodiments of the method and the apparatus, and the contents thereof are incorporated herein, and repeated descriptions are omitted.

Fig. 6 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. 6, 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 low angle seam identification function may be integrated into the central processor 100. The central processor 100 may be configured to control as follows:

wherein R is_pSecondary porosity.

In the embodiment of the invention, the preset threshold is 70%.

As shown in fig. 6, 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. 6; furthermore, the electronic device 600 may also comprise components not shown in fig. 6, which may be referred to in the prior art.

As shown in fig. 6, 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 when the program is executed in an electronic device, the program causes a computer to execute the low-angle seam identification method in the electronic device according to the above embodiments.

Embodiments of the present invention also provide a storage medium storing a computer-readable program, where the computer-readable program enables a computer to execute the low-angle seam recognition described in the above embodiments in an electronic device.

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

1. A low-angle seam identification method, characterized in that the method comprises:

2. The low-angle seam identification method according to claim 1,

the resistivity data includes: shallow lateral resistivity, deep lateral resistivity, and invasion corrected formation true resistivity values;

3. The method of claim 2, wherein the generating resistivity crack identification results from the resistivity data comprises:

generating a resistivity crack identification result by utilizing a resistivity invasion correction difference ratio method according to the resistivity data;

the generating of the porosity fracture identification result according to the porosity data comprises:

4. The method of claim 3, wherein the generating resistivity crack identification results from the resistivity data comprises:

5. The low angle seam identification method of claim 4 wherein generating a porosity fracture identification result from the porosity data comprises:

wherein R is_pSecondary porosity.

6. The method of claim 4, wherein the low angle seam identification based on the resistivity fracture identification result, the porosity fracture identification result and the imaging log data comprises:

determining that the low-angle seam recognition rate of the resistivity seam recognition result is higher than a preset threshold value, taking the porosity seam recognition result corresponding to the well section with the depth-lateral difference ratio smaller than zero as the low-angle seam recognition result, and setting all porosity seam recognition curves to be zero when the well section does not meet the condition smaller than zero;

and determining that the low-angle seam recognition rate of the resistivity seam recognition result is not higher than the preset threshold value, zeroing the porosity seam recognition result of the well section with the depth-lateral difference ratio being greater than or equal to zero, and taking the porosity seam recognition result after zeroing as the low-angle seam recognition result.

7. The low-angle seam identification method of claim 6 wherein the predetermined threshold is 70%.

8. A low angle seam identification device, said device comprising:

9. The low angle seam identification device of claim 8,

10. The low angle seam identification device of claim 9 wherein the resistivity fracture identification module generating a resistivity fracture identification from the resistivity data comprises:

the porosity fracture identification module generates a porosity fracture identification result according to the porosity data, and the method comprises the following steps:

11. The low angle seam identification device of claim 10 wherein the resistivity crack identification module comprises:

12. The low angle seam identification device of claim 10 wherein the porosity fracture identification module comprises:

wherein R is_pSecondary porosity.

13. The low-angle seam recognition device of claim 11, wherein the low-angle seam recognition module comprises:

the identification unit is used for determining that the low-angle seam identification rate of the resistivity fracture identification result is higher than a preset threshold value, taking the porosity fracture identification result corresponding to the well section with the depth-lateral difference ratio smaller than zero as the low-angle seam identification result, and setting all the porosity fracture identification curves to be zero when the well section with the depth-lateral difference ratio smaller than zero does not meet the condition of being smaller than zero;

14. The low-angle seam identification device of claim 13 wherein the predetermined threshold is 70%.

15. 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 7 when executing the computer program.

16. 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 7.