Method, device, equipment and medium for determining magma distribution in intrusive fault zones

Abstract

The present invention discloses a method, device, equipment and medium for determining the distribution of magma in an intrusive fault zone, which relates to the technical field of oil and gas field exploration and development, including: loading geological data of a target area; constructing a fault plane of a magma intrusive fault zone in the target area based on the geological data; calculating a magma distribution indicator factor of the magma intrusive fault zone in the target area; and determining the magma distribution position in the magma intrusive fault zone in the target area. The present invention considers the value characteristics and frequency characteristics of the seismic information of the magma intrusion body, and combines the distribution characteristics of the fault to propose a magma distribution indicator factor S of the igneous rock intrusive fault zone, thereby achieving the purpose of quantitatively predicting the distribution range of magma in such fault zones. It can be used to predict the closed and drained oil and gas locations in the fault zone, and the resulting prediction effect is more in line with actual geological laws. It does not require the statistics of a large number of geological parameters, and can be directly studied on seismic data, making the implementation process more intuitive and rapid.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas field exploration and development, and in particular to a method, device, equipment and medium for determining magma distribution in an intrusive fault zone. Background Art

[0002] Due to frequent tectonic activity in faulted lake basins, the coexistence of igneous and clastic rocks within fault zones is common, posing a direct challenge to the exploration of both clastic fault-block and igneous reservoirs. While attention has been focused on the structure of clastic fault zones, the changes in the internal structure of fault zones following magma intrusion and the location of magma intrusion within these zones have not been considered, making it impossible to quantitatively determine the impact of faults on the migration and drainage of oil and gas. Current information mining in seismic data is far from sufficient. While seismic data contain rich information about fault zones and magma reflections, it is currently not possible to directly predict the changes in the internal structure of fault zones caused by magma intrusion or the location of magma intrusion within these zones using seismic data. Summary of the Invention

[0003] The present invention aims to provide a method, device, equipment, and medium for determining magma distribution in intrusive fault zones. By directly using seismic data to identify the distribution of fault zones after magma intrusion, the method quantitatively predicts the structural differences of fault zones in clastic rock formations where magma intrusion has occurred, thereby enabling quantitative determination of the impact of faults on the migration and drainage of oil and gas. To achieve the above objectives, the present invention provides the following technical solutions:

[0004] A first object of the present invention is to provide a method for determining magma distribution in an intrusive fault zone, the method comprising the following steps:

[0005] Loading geological data of the target area; the geological data includes seismic data, well logging data, and fault interpretation data;

[0006] Constructing a fault plane of a magma intrusive fault zone in a target area based on the geological data, and determining information entropy and earthquake frequency;

[0007] A magma distribution indicator factor is determined based on the information entropy and the earthquake frequency, and a magma distribution range of the intrusive fault zone in the exploration target area is determined based on the magma distribution indicator factor.

[0008] Furthermore, the calculation formula of the magma distribution indicator factor is as follows:

[0009] S = INFO × f;

[0010] Where, INFO represents information entropy; f represents the dominant frequency of seismic data at a certain location in the time window, in Hz.

[0011] Furthermore, the determining of the magma distribution indicator factor based on the information entropy and the earthquake frequency, and the determining of the magma distribution range of the intrusive fault zone in the exploration target area based on the magma distribution indicator factor, include:

[0012] Determining the magma distribution indicator factor at each point in the target area based on the information entropy and the earthquake frequency;

[0013] Determine the upper threshold of regional magma distribution indicator factors;

[0014] The magma distribution range of the intrusive fault zone in the exploration target area is determined based on the magma distribution indicator factors of each point in the target area and the upper limit threshold of the regional magma distribution indicator factor.

[0015] Furthermore, the determination of the magma distribution range of the intrusive fault zone in the exploration target area based on the magma distribution indicator factors of each point in the target area and the upper limit threshold of the regional magma distribution indicator factor includes:

[0016] Determine the upper threshold of the regional magma distribution indicator factor for wells already drilled in the exploration target area;

[0017] Compare the magma distribution indicator factor value of each point in the exploration target area with the upper threshold of the regional magma distribution indicator factor, and determine the distribution range of the target points whose magma distribution indicator factor value is less than the upper threshold of the regional magma distribution indicator factor;

[0018] According to the distribution range of the target points that are smaller than the upper threshold of the regional magma distribution indicator factor, the magma distribution range of the intrusive fault zone in the exploration target area is determined.

[0019] A second object of the present invention is to provide a device for determining magma distribution in an intrusive fault zone, the device comprising:

[0020] A geological data loading module is used to load geological data of the target area; the geological data includes seismic data, well logging data and fault interpretation data;

[0021] An information entropy and earthquake frequency determination module, configured to construct a fault plane of a magma intrusion-type fault zone in a target area based on the geological data, and determine information entropy and earthquake frequency;

[0022] The magma distribution range determination module is used to determine a magma distribution indicator factor based on the information entropy and the earthquake frequency, and to determine the magma distribution range of the intrusive fault zone in the exploration target area based on the magma distribution indicator factor.

[0023] Furthermore, the magma distribution range determination module is specifically used to:

[0024] Determining the magma distribution indicator factor at each point in the target area based on the information entropy and the earthquake frequency;

[0025] Determine the upper threshold of regional magma distribution indicator factors;

[0026] The magma distribution range of the intrusive fault zone in the exploration target area is determined based on the magma distribution indicator factors of each point in the target area and the upper limit threshold of the regional magma distribution indicator factor.

[0027] Furthermore, the magma distribution range determination module is specifically used to:

[0028] Determine the upper threshold of the regional magma distribution indicator factor for wells already drilled in the exploration target area;

[0029] Compare the magma distribution indicator factor value of each point in the exploration target area with the upper threshold of the regional magma distribution indicator factor, and determine the distribution range of the target points whose magma distribution indicator factor value is less than the upper threshold of the regional magma distribution indicator factor;

[0030] According to the distribution range of the target points that are smaller than the upper threshold of the regional magma distribution indicator factor, the magma distribution range of the intrusive fault zone in the exploration target area is determined.

[0031] A third object of the present invention is to provide an electronic device comprising:

[0032] one or more processors;

[0033] a storage device for storing one or more programs;

[0034] When the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned method for determining the magma distribution in the intrusive fault zone.

[0035] A fourth object of the present invention is to provide a storage medium comprising computer executable instructions, which, when executed by a computer processor, are used to execute the above-mentioned method for determining the magma distribution in an intrusive fault zone.

[0036] Technical effects and advantages of the present invention:

[0037] This invention considers the seismic reflection envelope and frequency characteristics of magmatic intrusions, combined with the distribution characteristics of faults, to propose an indicator factor, S, for the magma distribution in igneous intrusive fault zones. This method and system for determining the magma distribution in intrusive fault zones are designed to quantitatively predict the locations of oil and gas reservoirs within such fault zones. This method's predictions are more consistent with actual geological patterns. This invention eliminates the need to calculate a large number of geological parameters, instead conducting research directly on seismic data. This makes the process more intuitive and rapid, and represents a direct and in-depth exploration of seismic data.

[0038] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0040] Figure 1 A flow chart of a method for determining magma distribution in an intrusive fault zone provided by the present invention;

[0041] Figure 2 This is a distribution diagram of magma distribution indicator factors in the intrusive fault zone in the Bayantala area of ​​the Wuerxun Sag in the Hailar Basin according to an embodiment of the present invention;

[0042] Figure 3 A schematic diagram of a device for determining magma distribution in an intrusive fault zone provided by the present invention;

[0043] Figure 4 A schematic diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0045] In order to solve the deficiencies of the prior art, the present invention discloses a method for determining the magma distribution in an intrusive fault zone. Figure 1FIG. 1 is a flow chart of a method for determining magma distribution in an intrusive fault zone according to the present invention, as shown in FIG. Figure 1 As shown, the method includes the following steps:

[0046] Step S101, loading geological data of the target area;

[0047] Step S102: constructing a fault plane of a magma intrusion type fault zone in the target area based on the geological data, and determining information entropy and earthquake frequency;

[0048] Step S103: determining a magma distribution indicator factor based on the information entropy and the earthquake frequency, and determining a magma distribution range of the intrusive fault zone in the exploration target area based on the magma distribution indicator factor.

[0049] This method has guiding significance for the study of oil and gas migration and accumulation along faults of magma intrusion, helps to reduce geological risks in exploration, and improve the success rate of block trap exploration and evaluation. It is a leading technology.

[0050] The specific implementation steps of the above method are as follows:

[0051] Step S101: Loading geological data of a target area; wherein the geological data includes seismic data, well logging data, and fault interpretation data;

[0052] Step S102: constructing a fault plane of a magma intrusion type fault zone in the target area based on the geological data, and determining information entropy and earthquake frequency;

[0053] Step S103: determining a magma distribution indicator factor based on the information entropy and the earthquake frequency, and determining the magma distribution range of the intrusive fault zone in the exploration target area based on the magma distribution indicator factor; specifically, calculating the magma distribution indicator factor of the igneous intrusive fault zone, i.e., the magma distribution indicator factor, and the calculation formula thereof is as follows:

[0054] S = INFO × f;

[0055] Where S represents the magma distribution indicator factor, INFO represents information entropy, which is a basic concept in information theory. It describes the uncertainty of possible events in the information source and indicates the probability of occurrence of specific information. f represents the dominant frequency of seismic data at a certain location in the time window, in Hz.

[0056] From the perspective of information dissemination, information entropy can represent the value of information. Therefore, another calculation formula for information entropy can be expressed as:

[0057] H(x)=E[I(xi)]=E[log(2,1 / P(xi))]=-∑P(xi)log(2,P(xi)), (i=1,2,...,n);

[0058] Where H(x) represents information entropy; x represents a random variable, corresponding to which is the set of all possible outputs, defined as a symbol set, and the output of the random variable is represented by x; P(xi) represents the output probability function; the greater the uncertainty of the variable, the greater the entropy, and the greater the amount of information required to clarify it.

[0059] In step S103 of the present invention, as a preferred embodiment, the magma distribution indicator factor is determined based on the information entropy and the earthquake frequency, and the magma distribution range of the intrusive fault zone in the exploration target area is determined based on the magma distribution indicator factor. The specific steps are as follows:

[0060] Step S103.1, determining the magma distribution indicator factor of each point in the target area based on the information entropy and the earthquake frequency;

[0061] Step S103.2, determining the upper threshold of the regional magma distribution indicator factor;

[0062] Step S103.3: Determine the magma distribution range of the intrusive fault zone in the exploration target area based on the magma distribution indicator factors of each point in the target area and the upper limit threshold of the regional magma distribution indicator factor.

[0063] In step S103.3 of the present invention, as a preferred embodiment, the magma distribution range of the intrusive fault zone in the exploration target area is determined based on the magma distribution indicator factors at each point in the target area and the upper limit threshold of the regional magma distribution indicator factor. The specific steps are as follows:

[0064] Step S103.3.1, determining the upper threshold of the regional magma distribution indicator factor for the wells already drilled in the exploration target area;

[0065] Step S103.3.2: Compare the magma distribution indicator factor value of each point in the exploration target area with the upper threshold of the regional magma distribution indicator factor, and determine the distribution range of the target points whose magma distribution indicator factor value is less than the upper threshold of the regional magma distribution indicator factor;

[0066] Step S103.3.3: Determine the magma distribution range of the intrusive fault zone in the exploration target area based on the distribution range of the target points that are smaller than the upper threshold of the regional magma distribution indicator factor.

[0067] Example

[0068] This case takes a fault in the Bayantala area of ​​the Wuerxun Depression in the Hailar Basin as an example to illustrate the implementation process and effects of the present invention. Figure 2This is a distribution diagram of magma distribution indicator factors in the intrusive fault zone in the Bayantala area of ​​the Wuerxun Depression in the Hailar Basin according to an embodiment of the present invention. Figure 2 As shown, in Figure 2 The distribution of the magma distribution indicator factor S along the fault plane of the igneous intrusion fault zone is shown in the figure. It is found that there are obvious changes within the same fault zone. This change not only reflects the difference in its internal structure, but also reflects its lateral and vertical sealing ability and favorable locations for oil and gas. Specifically, combined with the drilling results, (1) it is found that the location with an S index less than 380 is the most favorable location for sealing oil and gas, which belongs to the low S value area and generally coincides with the magma intrusion location; (2) S greater than 400 represents a high value area, which is a location where high information entropy and high frequency occur simultaneously. It is often an area with complex and diverse clastic rock lithology or a high degree of fragmentation of the intrusion rock. Overall, the sealing property is weaker than that of the magma intrusion location. The special feature is that if the high value area greater than 400 is a clastic rock fracture structure, its sealing property is determined according to the various clastic rock fracture sealing evaluation methods that have been published; (3) The location with an S index between 380 and 400 is a location where clastic rock and igneous rock are mixed and transitional, which is a location with good sealing property. Combined with the results of exploration well drilling and the distribution of oil and gas wells in this area, statistics show that the smaller the S index, the more it can reflect the location of magma development and the more conducive it is to fracture sealing of oil and gas; this shows that the application effect of the present invention conforms to geological laws and is reliable.

[0069] Based on the same concept of the present invention, the present invention also discloses a device for determining magma distribution in an intrusive fault zone. Figure 3 FIG. 1 is a schematic diagram of a device for determining magma distribution in an intrusive fault zone according to the present invention, as shown in FIG. Figure 3 As shown, the device includes:

[0070] A geological data loading module 201 is used to load geological data of a target area; the geological data includes seismic data, well logging data, and fault interpretation data;

[0071] An information entropy and earthquake frequency determination module 202 is configured to construct a fault plane of a magma intrusion type fault zone in a target area based on the geological data, and determine information entropy and earthquake frequency;

[0072] The magma distribution range determination module 203 is used to determine a magma distribution indicator factor based on the information entropy and the earthquake frequency, and determine the magma distribution range of the intrusive fault zone in the exploration target area based on the magma distribution indicator factor.

[0073] Furthermore, the magma distribution range determination module 203 is specifically configured to:

[0074] Determining the magma distribution indicator factor at each point in the target area based on the information entropy and the earthquake frequency;

[0075] Determine the upper threshold of regional magma distribution indicator factors;

[0076] The magma distribution range of the intrusive fault zone in the exploration target area is determined based on the magma distribution indicator factors of each point in the target area and the upper limit threshold of the regional magma distribution indicator factor.

[0077] Furthermore, the magma distribution range determination module 203 is specifically configured to:

[0078] Determine the upper threshold of the regional magma distribution indicator factor for wells already drilled in the exploration target area;

[0079] Compare the magma distribution indicator factor value of each point in the exploration target area with the upper threshold of the regional magma distribution indicator factor, and determine the distribution range of the target points whose magma distribution indicator factor value is less than the upper threshold of the regional magma distribution indicator factor;

[0080] According to the distribution range of the target points that are smaller than the upper threshold of the regional magma distribution indicator factor, the magma distribution range of the intrusive fault zone in the exploration target area is determined.

[0081] Based on the same inventive concept, the present invention also provides an electronic device, Figure 4 A schematic diagram of an electronic device provided by the present invention, such as Figure 4 As shown, the electronic device includes at least one processor 301, at least one communication interface 302, at least one memory 303 and at least one communication bus 304; wherein the processor 301, the communication interface 302 and the memory 303 communicate with each other via the communication bus 304;

[0082] Memory 303, storing computer programs;

[0083] The processor 301 is configured to implement the method for determining the magma distribution in the intrusive fault zone when executing the program stored in the memory 303 .

[0084] Optionally, the communication interface may be an interface of a communication module, such as an interface of a GSM module; the processor may be a CPU, or an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present invention. The memory may include a high-speed RAM memory, and may also include a non-volatile memory, such as at least one disk storage. The memory stores a program, and the processor calls the program stored in the memory to execute some or all of the above-mentioned method embodiments.

[0085] Based on the same inventive concept, the present invention further provides a computer-readable storage medium storing a computer program, wherein when the computer program is executed, some or all of the above-mentioned method embodiments are implemented. Optionally, the storage medium may be a non-transitory computer-readable storage medium, for example, a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, or the like.

[0086] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for determining magma distribution in an intrusive fault zone, characterized in that: The method comprises the following steps: Loading geological data of the target area; the geological data includes seismic data, well logging data, and fault interpretation data; Constructing a fault plane of a magma intrusive fault zone in a target area based on the geological data, and determining information entropy and earthquake frequency; determining a magma distribution indicator factor based on the information entropy and the earthquake frequency, and determining a magma distribution range of an intrusive fault zone in an exploration target area based on the magma distribution indicator factor; The calculation formula of the magma distribution indicator factor is as follows: S = INFO × f; Where, INFO represents information entropy; f represents the dominant frequency of seismic data at a certain location in the time window, in Hz.

2. The method for determining magma distribution in an intrusive fault zone according to claim 1, characterized in that: The determining of the magma distribution indicator factor based on the information entropy and the earthquake frequency, and determining the magma distribution range of the intrusive fault zone in the exploration target area based on the magma distribution indicator factor, includes: Determining the magma distribution indicator factor at each point in the target area based on the information entropy and the earthquake frequency; Determine the upper threshold of regional magma distribution indicator factors; The magma distribution range of the intrusive fault zone in the exploration target area is determined based on the magma distribution indicator factors of each point in the target area and the upper limit threshold of the regional magma distribution indicator factor.

3. The method for determining magma distribution in an intrusive fault zone according to claim 2, wherein: The method of determining the magma distribution range of the intrusive fault zone in the exploration target area based on the magma distribution indicator factors of each point in the target area and the upper limit threshold of the regional magma distribution indicator factor includes: Determine the upper threshold of the regional magma distribution indicator factor for wells already drilled in the exploration target area; Compare the magma distribution indicator factor value of each point in the exploration target area with the upper threshold of the regional magma distribution indicator factor, and determine the distribution range of the target points whose magma distribution indicator factor value is less than the upper threshold of the regional magma distribution indicator factor; According to the distribution range of the target points that are smaller than the upper threshold of the regional magma distribution indicator factor, the magma distribution range of the intrusive fault zone in the exploration target area is determined.

4. A device for determining magma distribution in an intrusive fault zone, characterized in that: The device comprises: A geological data loading module is used to load geological data of the target area; the geological data includes seismic data, well logging data and fault interpretation data; An information entropy and earthquake frequency determination module, configured to construct a fault plane of a magma intrusion-type fault zone in a target area based on the geological data, and determine information entropy and earthquake frequency; a magma distribution range determination module, configured to determine a magma distribution indicator factor based on the information entropy and the earthquake frequency, and determine the magma distribution range of the intrusive fault zone in the exploration target area based on the magma distribution indicator factor; The calculation formula of the magma distribution indicator factor is as follows: S = INFO × f; Where, INFO represents information entropy; f represents the dominant frequency of seismic data at a certain location in the time window, in Hz.

5. The device for determining magma distribution in an intrusive fault zone according to claim 4, characterized in that: The magma distribution range determination module is specifically used to: Determining the magma distribution indicator factor at each point in the target area based on the information entropy and the earthquake frequency; Determine the upper threshold of regional magma distribution indicator factors; The magma distribution range of the intrusive fault zone in the exploration target area is determined based on the magma distribution indicator factors of each point in the target area and the upper limit threshold of the regional magma distribution indicator factor.

6. The device for determining magma distribution in an intrusive fault zone according to claim 5, characterized in that: The magma distribution range determination module is specifically used to: Determine the upper threshold of the regional magma distribution indicator factor for wells already drilled in the exploration target area; Compare the magma distribution indicator factor value of each point in the exploration target area with the upper threshold of the regional magma distribution indicator factor, and determine the distribution range of the target points whose magma distribution indicator factor value is less than the upper threshold of the regional magma distribution indicator factor; According to the distribution range of the target points that are smaller than the upper threshold of the regional magma distribution indicator factor, the magma distribution range of the intrusive fault zone in the exploration target area is determined.

7. An electronic device, characterized in that: include: one or more processors; a storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining magma distribution in an intrusive fault zone as described in any one of claims 1 to 3.

8. A storage medium containing computer-executable instructions, characterized in that: When the computer executable instructions are executed by a computer processor, they are used to perform the method for determining magma distribution in an intrusive fracture zone according to any one of claims 1 to 3.

Images