Rock type identification method and device for ultra-deep-sea downhole oil and gas exploration

Abstract

The embodiment of the present application provides a rock type identification method and device for ultra-deep sea downhole oil and gas exploration, the method comprising: respectively obtaining deuranium gamma logging data and density logging data of a target layer segment located in an ultra-deep sea downhole area; determining the quadrant area where the target layer segment is located in a target plane intersection diagram according to the numerical values ​​corresponding to the deuranium gamma logging data and the density logging data, respectively, the target plane intersection diagram is a plane intersection diagram between deuranium gamma and density, and is provided with a plurality of quadrant areas pre-divided according to a first division threshold corresponding to the deuranium gamma logging data and a second division threshold corresponding to the density logging data; based on a preset identification rule, determining the corresponding rock type according to the quadrant area where the target layer segment is located. The present application can effectively identify the rock type in the ultra-deep sea downhole oil and gas exploration process, can effectively improve the efficiency and reliability of the identification process, and effectively improve the accuracy of the rock identification results.

Description

Technical Field

[0001] The present application relates to the field of petroleum exploration technology, and in particular to a rock type identification method and device for ultra-deep-sea downhole oil and gas exploration. Background Art

[0002] In recent years, ultra-deepwater oil and gas exploration in the sea (note: areas with a water depth of more than 1500m) has become a hot spot and a rapid growth point for oil and gas reserves, and has received much attention from major oil companies around the world. Although igneous rocks are not the target layer for ultra-deepwater oil and gas exploration in most cases, they are often encountered during drilling and are difficult to predict, which has a great impact on oil and gas exploration and development. The distribution of igneous rocks in ultra-deepwater sedimentary basins will firstly interrupt the continuous distribution of the main reservoirs, resulting in the complication of reservoir characteristics; secondly, large-scale intrusive rocks will have a certain negative impact on the pore development of adjacent reservoirs; in addition, igneous rocks themselves will also develop into high-quality reservoirs under certain conditions, and are less affected by burial depth factors. It can be seen that igneous rocks are a special type of rock that cannot be ignored in ultra-deepwater oil and gas exploration, and are closely related to oil and gas accumulation.

[0003] Due to the particularity of ultra-deepwater oil and gas exploration, which is very different from onshore oil and gas exploration, its drilling cost is very high and data collection is relatively limited. In order to reduce costs and realize oil and gas discovery as soon as possible, it is required to quickly and accurately judge the main lithology encountered in the downhole drilling process during the operation, so as to provide an important reference for the implementation of various subsequent measures. Practice has shown that the experience in identifying conventional sedimentary rocks such as carbonate rocks and clastic rocks in on-site construction is relatively rich, but the identification of igneous rocks is relatively weak. Because the lithology of igneous rocks is relatively complex and often undergoes strong alteration in ultra-deepwater sedimentary basins in the sea, there is very little coring data, and the rock cuttings are small and often in powder form. Therefore, misjudgment often occurs when relying solely on logging, so the use of logging data for comprehensive identification has become a rare and convenient means.

[0004] However, the main problem is that, since ultra-deepwater oil and gas drilling is still in its infancy, there is no logging recognition template specifically for igneous rocks in this situation. Some logging recognition templates or identification technologies for downhole igneous rocks that were often used in the past are mainly based on oil and gas exploration in onshore or shallow water environments, and cannot be directly applied to ultra-deepwater environments in the sea. For example, the most sensitive reflection of igneous rock lithology on land is natural gamma (GR). When the igneous rock type changes from basic rock, neutral rock to acidic rock, its value shows a regular increase. Even in sedimentary basins in different regions, the parameter variation range is generally consistent and the boundaries are relatively clear. However, in ultra-deepwater environments, this rule has changed dramatically. Igneous rocks developed in ultra-deepwater environments in the sea are often mainly intermediate and basic, with relatively developed alkaline series and generally strongly altered. Even for basic rocks, the natural gamma variation range is very large. Generally, the GR value of basic rocks on land is often lower than 35-40API, but in ultra-deepwater areas, it often extends to 70-80API, and some are as high as 130API or more. Therefore, many igneous rock logging identification plates established in land or shallow sedimentary basins are not applicable in ultra-deepsea environments, and there is also a lack of plates to distinguish igneous rocks from major surrounding rocks (limestones and clastic rocks), making it impossible to accurately identify rock types for ultra-deepwater downhole oil and gas exploration. Summary of the invention

[0005] In response to the problems in the prior art, the present application provides a rock type identification method and device for ultra-deep sea downhole oil and gas exploration, which can effectively identify the rock type in the ultra-deep sea downhole oil and gas exploration process, and can effectively improve the efficiency and reliability of the identification process, and effectively improve the accuracy of the rock identification results.

[0006] In order to solve the above technical problems, this application provides the following technical solutions:

[0007] In a first aspect, the present application provides a rock type identification method for ultra-deep-sea downhole oil and gas exploration, comprising:

[0008] The deuranium gamma logging data and density logging data of the target layer section located in the ultra-deep sea downhole area are obtained respectively;

[0009] According to the numerical values ​​corresponding to the deuranium gamma logging data and the density logging data, respectively, the quadrant area where the target layer section is located is determined in a preset target plane intersection diagram, wherein the plane intersection diagram is a plane intersection diagram between deuranium gamma and density, and the target plane intersection diagram is provided with a plurality of quadrant areas pre-divided according to a first division threshold corresponding to the deuranium gamma logging data and a second division threshold corresponding to the density logging data;

[0010] Based on the preset recognition rules, the rock type corresponding to the target layer section is determined according to the quadrant area where the target layer section is located.

[0011] Furthermore, the first division threshold is 25 API.

[0012] Furthermore, the second division threshold is 2.8 g / cm 3 .

[0013] Furthermore, the rock types include: igneous rocks, clastic rocks, limestones and complex rocks;

[0014] The igneous rocks include alkaline series igneous rocks and calc-alkaline series igneous rocks;

[0015] The complex rocks include igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones, and limestones with a mud component content higher than a preset content threshold.

[0016] Further, the ordinate of the target plane intersection diagram is used to represent the numerical value corresponding to the density logging data, and the abscissa is used to represent the numerical value corresponding to the deuranium gamma logging data;

[0017] Correspondingly, the quadrant areas of the target plane intersection diagram include: a first quadrant area, a second quadrant area, a third quadrant area, and a fourth quadrant area;

[0018] The first quadrant region is a region where the value corresponding to the deuranium gamma logging data is greater than or equal to the first division threshold, and the value corresponding to the density logging data is greater than or equal to the second division threshold;

[0019] The second quadrant region is a region where the value corresponding to the deuranium gamma logging data is less than the first division threshold, and the value corresponding to the density logging data is greater than or equal to the second division threshold;

[0020] The third quadrant region is a region where the value corresponding to the deuranium gamma logging data is less than the first division threshold, and the value corresponding to the density logging data is less than the second division threshold;

[0021] The fourth quadrant region is a region where the value corresponding to the deuranium gamma logging data is greater than or equal to the first division threshold, and the value corresponding to the density logging data is less than the second division threshold.

[0022] Furthermore, the determining of the rock type corresponding to the target layer segment according to the quadrant region where the target layer segment is located based on a preset identification rule includes:

[0023] If the quadrant area where the target layer section is located is the first quadrant, the rock type corresponding to the target layer section is determined to be igneous rock.

[0024] Furthermore, the rock type identification method for ultra-deep sea downhole oil and gas exploration also includes:

[0025] If the density logging data corresponding to the target layer interval is greater than a third threshold, the igneous rock type corresponding to the target layer interval is further determined as the intrusive rock type.

[0026] Furthermore, the third threshold is 2.85 g / cm 3 .

[0027] Furthermore, the rock type identification method for ultra-deep sea downhole oil and gas exploration also includes:

[0028] If the deuranium gamma logging data corresponding to the target layer section is greater than a fourth threshold, the igneous rock type corresponding to the target layer section is further determined to be an alkaline series igneous rock type.

[0029] Furthermore, the fourth threshold is 40 API.

[0030] Furthermore, the determining of the rock type corresponding to the target layer segment according to the quadrant region where the target layer segment is located based on a preset identification rule includes:

[0031] If the quadrant area where the target layer segment is located is the second quadrant, the data that meets the first percentage in the uranium-depleted gamma logging data are concentrated at the preset high value end of the second quadrant, and there is a continuous distribution and crosses over to the first quadrant, and the corresponding density logging data is greater than the fifth threshold, the rock type corresponding to the target layer segment is determined to be calc-alkaline igneous rock.

[0032] Furthermore, the fifth threshold is 2.81 g / cm 3 , the first percentage is 50%.

[0033] Furthermore, the determining of the rock type corresponding to the target layer segment according to the quadrant region where the target layer segment is located based on a preset identification rule includes:

[0034] If the quadrant area where the target layer segment is located is the second quadrant, the data that meets the second percentage of the corresponding uranium-free gamma logging data are concentrated in the preset medium and low value segments of the second quadrant, and the corresponding density logging data is less than or equal to the sixth threshold, when continuous distribution occurs and crosses to the third quadrant, the rock type corresponding to the target layer segment is determined to be dolomitized limestone.

[0035] Furthermore, the sixth threshold is 2.90 g / cm 3, the second percentage is 50%.

[0036] Furthermore, the determining of the rock type corresponding to the target layer segment according to the quadrant region where the target layer segment is located based on a preset identification rule includes:

[0037] If the quadrant area where the target layer section is located is the third quadrant, the rock type corresponding to the target layer section is determined to be limestone.

[0038] Furthermore, the determining of the rock type corresponding to the target layer segment according to the quadrant region where the target layer segment is located based on a preset identification rule includes:

[0039] If the quadrant region where the target layer section is located is the fourth quadrant, the rock type corresponding to the target layer section is determined to be a complex rock type;

[0040] The complex rocks include igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones, and limestones with a mud component content higher than a preset content threshold.

[0041] Furthermore, it also includes:

[0042] According to the energy spectrum parameter plane intersection diagram established by applying the pre-acquired energy spectrum logging data in advance, the distribution of igneous rocks with the degree of alteration reaching the preset strong alteration threshold, igneous rocks with developed porosity, sandstones and limestones with the mud component content higher than the preset content threshold in the complex rock types is obtained.

[0043] Furthermore, it also includes:

[0044] The rock type corresponding to the target layer section is output to determine the oil and gas production method for the target layer section according to the rock type.

[0045] In a second aspect, the present application provides a rock type identification device for ultra-deep-sea downhole oil and gas exploration, comprising:

[0046] A logging data acquisition module, used to respectively acquire deuranium gamma logging data and density logging data of a target layer section located in an ultra-deep sea well area;

[0047] A quadrant region determination module is used to determine the quadrant region where the target layer segment is located in a preset target plane intersection diagram according to the numerical values ​​corresponding to the deuranium gamma logging data and the density logging data, wherein the plane intersection diagram is a plane intersection diagram between deuranium gamma and density, and the target plane intersection diagram is provided with a plurality of quadrant regions pre-divided according to a first division threshold corresponding to the deuranium gamma logging data and a second division threshold corresponding to the density logging data;

[0048] The rock type identification module is used to determine the rock type corresponding to the target layer segment according to the quadrant area where the target layer segment is located based on a preset identification rule.

[0049] Furthermore, the first division threshold is 25 API.

[0050] Furthermore, the second division threshold is 2.8 g / cm 3 .

[0051] Furthermore, the rock types include: igneous rocks, clastic rocks, limestones and complex rocks;

[0052] The igneous rocks include alkaline series igneous rocks and calc-alkaline series igneous rocks;

[0053] The complex rocks include igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones, and limestones with a mud component content higher than a preset content threshold.

[0054] Further, the ordinate of the target plane intersection diagram is used to represent the numerical value corresponding to the density logging data, and the abscissa is used to represent the numerical value corresponding to the deuranium gamma logging data;

[0055] Correspondingly, the quadrant areas of the target plane intersection diagram include: a first quadrant area, a second quadrant area, a third quadrant area, and a fourth quadrant area;

[0056] The first quadrant region is a region where the value corresponding to the deuranium gamma logging data is greater than or equal to the first division threshold, and the value corresponding to the density logging data is greater than or equal to the second division threshold;

[0057] The second quadrant region is a region where the value corresponding to the deuranium gamma logging data is less than the first division threshold, and the value corresponding to the density logging data is greater than or equal to the second division threshold;

[0058] The third quadrant region is a region where the value corresponding to the deuranium gamma logging data is less than the first division threshold, and the value corresponding to the density logging data is less than the second division threshold;

[0059] The fourth quadrant region is a region where the value corresponding to the deuranium gamma logging data is greater than or equal to the first division threshold, and the value corresponding to the density logging data is less than the second division threshold.

[0060] Furthermore, the rock type identification module includes:

[0061] The igneous rock identification unit is used to determine the rock type corresponding to the target layer segment as igneous rock if the quadrant area where the target layer segment is located is the first quadrant.

[0062] Furthermore, the igneous rock identification unit is also used to further determine the igneous rock type corresponding to the target layer section as an intrusive rock type if the density logging data corresponding to the target layer section is greater than a third threshold.

[0063] Furthermore, the third threshold is 2.85 g / cm 3 .

[0064] Furthermore, the igneous rock identification unit is further used to further determine the igneous rock type corresponding to the target layer segment as an alkaline series igneous rock type if the deuranium gamma logging data corresponding to the target layer segment is greater than a fourth threshold.

[0065] Furthermore, the fourth threshold is 40 API.

[0066] Furthermore, the rock type identification module includes:

[0067] The calc-alkaline igneous rock or dolomitized limestone identification unit is used to determine the rock type corresponding to the target layer segment as calc-alkaline igneous rock if the quadrant area where the target layer segment is located is the second quadrant, the data that meets the first percentage in the uranium-depleted gamma logging data are concentrated at the preset high value end of the second quadrant, and there is a continuous distribution and crosses over to the first quadrant, and the corresponding density logging data is greater than the fifth threshold.

[0068] Furthermore, the fifth threshold is 2.81 g / cm 3 , the first percentage is 50%.

[0069] Furthermore, the calc-alkaline igneous rock or dolomitized limestone identification unit is also used to determine the rock type corresponding to the target layer segment as dolomitized limestone if the quadrant area in which the target layer segment is located is the second quadrant, the corresponding uranium-depleted gamma logging data that meets the second percentage is concentrated in the preset medium and low value segments of the second quadrant, and the corresponding density logging data is less than or equal to the sixth threshold, and when continuous distribution occurs and crosses to the third quadrant.

[0070] Furthermore, the sixth threshold is 2.90 g / cm 3 , the second percentage is 50%.

[0071] Furthermore, the rock type identification module includes:

[0072] The limestone identification unit is used to determine the rock type corresponding to the target layer segment as limestone if the quadrant area where the target layer segment is located is the third quadrant.

[0073] Furthermore, the rock type identification module includes:

[0074] A complex rock type identification unit, configured to determine the rock type corresponding to the target layer segment as a complex rock type if the quadrant region where the target layer segment is located is the fourth quadrant;

[0075] The complex rocks include igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones, and limestones with a mud component content higher than a preset content threshold.

[0076] Furthermore, the rock type identification module also includes:

[0077] The joint discrimination unit is used to obtain the distribution of igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones, and limestones with a mud component content higher than a preset content threshold in the complex rock types based on an energy spectrum parameter plane intersection diagram established by pre-application of pre-acquired energy spectrum logging data.

[0078] Furthermore, the rock type identification device for ultra-deep-sea downhole oil and gas exploration also includes:

[0079] The rock type output module is used to output the rock type corresponding to the target layer section so as to determine the oil and gas production method for the target layer section according to the rock type.

[0080] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the rock type identification method for ultra-deep sea downhole oil and gas exploration are implemented.

[0081] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the rock type identification method for ultra-deep sea downhole oil and gas exploration.

[0082] It can be seen from the above technical scheme that the rock type identification method for ultra-deep sea downhole oil and gas exploration provided by the present application is to obtain the uranium-free gamma logging data and density logging data of the target layer segment located in the ultra-deep sea downhole area respectively; according to the numerical values ​​corresponding to the uranium-free gamma logging data and the density logging data, the quadrant area where the target layer segment is located is determined in a preset target plane intersection diagram, wherein the plane intersection diagram is a plane intersection diagram between the uranium-free gamma and the density, and the target plane intersection diagram is provided with a first division threshold value corresponding to the uranium-free gamma logging data and a first division threshold value corresponding to the density logging data. The method comprises the following steps: first, determining a plurality of quadrant areas divided by two dividing thresholds; and second, determining the rock type corresponding to the target layer segment according to the quadrant area where the target layer segment is located based on a preset recognition rule. The method can effectively identify the rock type in the ultra-deep-sea downhole oil and gas exploration process, and can effectively improve the efficiency and reliability of the recognition process, and effectively improve the accuracy of the rock recognition results. The method is particularly suitable for rapid identification of igneous rocks in ultra-deep-sea downhole oil and gas exploration, and provides a convenient rock recognition method for on-site construction and related scientific research personnel, thereby providing the accuracy and reliability of selecting the ultra-deep-sea downhole oil and gas exploration method according to the rock recognition results. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0084] Figure 1 This is a schematic diagram of the architecture of a rock type identification device for ultra-deep-sea downhole oil and gas exploration according to the present application.

[0085] Figure 2 Schematic diagram of the process of the rock type identification method for ultra-deep sea downhole oil and gas exploration in the embodiment of the present application.

[0086] Figure 3 Schematic diagram of the target plane intersection diagram in the embodiment of the present application.

[0087] Figure 4 4 is a flow chart of a rock type identification method for ultra-deep sea downhole oil and gas exploration including step 400 in an embodiment of the present application.

[0088] Figure 5 It is a schematic diagram of the plane intersection discrimination diagram of the energy spectrum curve in the application example of this application.

[0089] Figure 6Schematic diagram of the structure of a rock type identification device for ultra-deep sea downhole oil and gas exploration in an embodiment of the present application.

[0090] Figure 7 This is a schematic diagram of the first structure of a rock type identification module in a rock type identification device for ultra-deep sea downhole oil and gas exploration in an embodiment of the present application.

[0091] Figure 8 This is a second structural schematic diagram of a rock type identification module in a rock type identification device for ultra-deep sea downhole oil and gas exploration in an embodiment of the present application.

[0092] Fig. 9 Schematic diagram of the structure of a rock type identification device for ultra-deep sea downhole oil and gas exploration including a rock type output module in an embodiment of the present application.

[0093] Fig.10 It is a schematic diagram of the structure of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0094] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0095] Considering that ultra-deepwater oil and gas drilling is still in its infancy, there is no logging recognition template specifically for igneous rocks in this situation. Some logging recognition templates or identification technologies for downhole igneous rocks that were often used in the past were mainly established based on oil and gas exploration in onshore or shallow water environments, and cannot be directly applied to ultra-deepwater environments in the sea. For example, the most sensitive reflection of igneous rock lithology on land is natural gamma (GR). When the igneous rock type changes from basic rock, neutral rock to acidic rock, its value shows a regular increase. Even in sedimentary basins in different regions, the range of parameter changes is generally consistent and the boundaries are relatively clear. However, in ultra-deepwater environments, this law has undergone tremendous changes. Igneous rocks developed in ultra-deepwater environments in the sea are often dominated by intermediate and basic rocks, with relatively developed alkaline series and generally strong alteration. Even for basic rocks, the range of natural gamma changes is very large. Generally, the GR value of basic rocks on land is often lower than 35-40API, but in ultra-deepwater areas, it often extends to 70-80API, and some are as high as 130API or above. Therefore, many igneous rock logging identification plates established in land or shallow water sedimentary basins are not applicable in ultra-deep sea environments, and there is also a lack of plates to distinguish igneous rocks from main surrounding rocks (limestone, clastic rocks), and thus the problem of being unable to accurately identify the rock types for ultra-deep sea downhole oil and gas exploration. The present application provides a rock type identification method for ultra-deep sea downhole oil and gas exploration, a rock type identification device for ultra-deep sea downhole oil and gas exploration, an electronic device and a computer-readable storage medium, by respectively acquiring deuranium-removed gamma logging data and density logging data of a target layer segment located in an ultra-deep sea downhole area; according to the values ​​corresponding to the deuranium-removed gamma logging data and the density logging data, respectively, the quadrant area where the target layer segment is located is determined in a preset target plane intersection diagram, wherein the plane intersection diagram is a deuranium-removed gamma logging data and a density logging data. A plane intersection diagram between gamma and density, and the target plane intersection diagram is provided with a plurality of quadrant areas pre-divided according to a first division threshold corresponding to the deuranium gamma logging data and a second division threshold corresponding to the density logging data; based on a preset recognition rule, the rock type corresponding to the target layer segment is determined according to the quadrant area where the target layer segment is located, which can effectively identify the rock type in the ultra-deep sea downhole oil and gas exploration process, and can effectively improve the efficiency and reliability of the recognition process, and effectively improve the accuracy of the rock recognition result, and is particularly suitable for rapid identification of igneous rocks in ultra-deep sea downhole oil and gas exploration, providing a convenient rock recognition method for on-site construction and related scientific research personnel, and further providing the accuracy and reliability of selecting the ultra-deep sea downhole oil and gas exploration method according to the rock recognition result.

[0096] In view of the above content, the present application embodiment provides a rock type identification device for ultra-deep sea downhole oil and gas exploration, see Figure 1The rock type identification device may be a server 01, and the server 01 may be communicatively connected to at least one database 02 and / or logging-related equipment 03, and may also be communicatively connected to at least one client device 04. The server 01 may receive online a rock type identification instruction for ultra-deep-sea downhole oil and gas exploration sent by the client device 04, and obtain deuranium gamma logging data and density logging data of a target layer segment located in the ultra-deep-sea downhole area from the corresponding logging-related equipment 03 or database 02 according to the rock type identification instruction, and then determine the quadrant area where the target layer segment is located in a preset target plane intersection diagram according to the values ​​corresponding to the deuranium gamma logging data and the density logging data, wherein the plane intersection diagram is a plane intersection diagram between deuranium gamma and density, and the target ... The figure is provided with a plurality of quadrant areas which are pre-divided according to a first division threshold corresponding to the deuranium gamma logging data and a second division threshold corresponding to the density logging data; and based on a preset identification rule, the rock type corresponding to the target layer segment is determined according to the quadrant area where the target layer segment is located, and then, the server 01 can send the rock type corresponding to the determined target layer segment to the corresponding client device 04, so as to effectively identify the rock type in the ultra-deep sea downhole oil and gas exploration process, and can effectively improve the efficiency and reliability of the identification process, and effectively improve the accuracy of the rock identification result.

[0097] It is understandable that the plane intersection diagram may be stored locally on the server 01 or in the database 02 , and the server 01 may determine the quadrant where the target layer segment is located in the preset target plane intersection diagram by accessing the server 02 .

[0098] It is understandable that the client device may include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a personal digital assistant (PDA), a vehicle-mounted device, a smart wearable device, etc. Among them, the smart wearable device may include smart glasses, a smart watch, a smart bracelet, etc.

[0099] In practical applications, the rock type identification part used for ultra-deep-sea downhole oil and gas exploration can be performed on the server side as described above, or all operations can be completed in the client device. The specific selection can be based on the processing capacity of the client device and the limitations of the user's usage scenario. This application does not limit this. If all operations are completed in the client device, the client device may also include a processor.

[0100] The client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission with the server. The server may include a server on the task scheduling center side, and other implementation scenarios may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, or a server cluster consisting of multiple servers, or a server structure of a distributed device.

[0101] The server and the client device may communicate using any suitable network protocol, including network protocols that have not yet been developed on the date of filing this application. The network protocol may include, for example, TCP / IP protocol, UDP / IP protocol, HTTP protocol, HTTPS protocol, etc. Of course, the network protocol may also include, for example, RPC protocol (Remote Procedure Call Protocol) and REST protocol (Representational State Transfer) used on top of the above protocols.

[0102] In order to effectively identify the rock type in the ultra-deep sea downhole oil and gas exploration process, and to effectively improve the efficiency and reliability of the identification process, and to effectively improve the accuracy of the rock identification result, the present application provides an embodiment of a rock type identification method for ultra-deep sea downhole oil and gas exploration, see Figure 2 The rock type identification method for ultra-deep sea downhole oil and gas exploration specifically includes the following contents:

[0103] Step 100: respectively obtaining deuranium-removed gamma logging data and density logging data of a target layer section located in an ultra-deep sea downhole area.

[0104] Step 200: Determine the quadrant area where the target layer segment is located in a preset target plane intersection diagram according to the numerical values ​​corresponding to the deuranium gamma logging data and the density logging data, wherein the plane intersection diagram is a plane intersection diagram between deuranium gamma and density, and the target plane intersection diagram is provided with a plurality of quadrant areas pre-divided according to a first dividing threshold corresponding to the deuranium gamma logging data and a second dividing threshold corresponding to the density logging data.

[0105] Step 300: Based on a preset identification rule, determine the rock type corresponding to the target layer segment according to the quadrant area where the target layer segment is located.

[0106] In one or more embodiments of the present application, the ordinate of the target plane intersection diagram is used to represent the numerical value corresponding to the density logging data, and the abscissa is used to represent the numerical value corresponding to the deuranium gamma logging data; correspondingly, the quadrant areas of the target plane intersection diagram include: a first quadrant area, a second quadrant area, a third quadrant area, and a fourth quadrant area.

[0107] The first quadrant region is a region where the value corresponding to the deuranium gamma logging data is greater than or equal to the first division threshold, and the value corresponding to the density logging data is greater than or equal to the second division threshold.

[0108] The second quadrant region is a region where the value corresponding to the deuranium gamma logging data is less than the first division threshold, and the value corresponding to the density logging data is greater than or equal to the second division threshold.

[0109] The third quadrant region is a region where the value corresponding to the deuranium gamma logging data is less than the first division threshold, and the value corresponding to the density logging data is less than the second division threshold.

[0110] The fourth quadrant region is a region where the value corresponding to the deuranium gamma logging data is greater than or equal to the first division threshold, and the value corresponding to the density logging data is less than the second division threshold.

[0111] Specifically, see Figure 3 , the target plane intersection diagram is a plane intersection diagram between de-uranium gamma and density, and the target plane intersection diagram is provided with a plurality of quadrant areas pre-divided according to the first division threshold corresponding to the de-uranium gamma logging data and the second division threshold corresponding to the density logging data. The intersection diagram can be divided into the first, second, third and fourth quadrants in a counterclockwise order, and four situations are distinguished by quadrants:

[0112] ① The first quadrant area needs to meet CGR ≥ 25API, DEN ≥ 2.8g / cm 3 ;

[0113] ② The second quadrant area needs to meet the requirements of CGR < 25API, DEN ≥ 2.8g / cm 3 ;

[0114] ③ The third quadrant area needs to meet CGR < 25API, DEN < 2.8g / cm 3 ;

[0115] ④ The fourth quadrant needs to meet CGR≥25API, DEN<2.8g / cm 3 .

[0116] In one or more embodiments of the present application, the rock types specifically include: igneous rocks, clastic rocks, limestones and complex rocks. The igneous rocks include alkaline series igneous rocks and calc-alkaline series igneous rocks; the complex rocks include igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones and limestones with a mud component content higher than a preset content threshold.

[0117] In order to further improve the accuracy of rock identification results, in the embodiment of the rock type identification method for ultra-deep sea downhole oil and gas exploration of the present application, step 300 specifically includes the following contents:

[0118] Step 301: If the quadrant region where the target layer segment is located is the first quadrant, the rock type corresponding to the target layer segment is determined to be igneous rock.

[0119] If the density logging data corresponding to the target layer is greater than the third threshold, the igneous rock type corresponding to the target layer is further determined as the intrusive rock type. The third threshold is 2.85 g / cm 3 If the deuranium gamma logging data corresponding to the target layer is greater than a fourth threshold, the igneous rock type corresponding to the target layer is further determined to be an alkaline series igneous rock type. The fourth threshold is 40 API.

[0120] Specifically, when the points are mainly in this area, they can be directly identified as igneous rocks. The samples in this area are generally igneous rocks with a weak degree of alteration, and the greater the density, the more likely it is to be an intrusive rock. That is, when the density of most samples is greater than 2.85g / cm 3 When the CGR value is greater than 40API, it can be identified as an intrusive rock; the higher the CGR value, the more likely it is to be an alkaline rock series. For basic igneous rocks, when the CGR of most samples is greater than 40API, they can be identified as an alkaline series.

[0121] Step 302: If the quadrant area where the target layer segment is located is the second quadrant, the data that meets the first percentage in the uranium-depleted gamma logging data are concentrated at the preset high value end of the second quadrant, and there is a continuous distribution and crosses over to the first quadrant, and the corresponding density logging data is greater than the fifth threshold, the rock type corresponding to the target layer segment is determined to be calc-alkaline igneous rock.

[0122] Wherein, the fifth threshold is 2.81g / cm 3, the first percentage is 50%. Specifically, when the samples are projected in this area, most of them are weakly altered calc-alkaline igneous rocks, and they are mainly basic and ultrabasic types. But sometimes dolomitized limestones also appear: Generally, the CGR value and density of limestone are low, and they will not be projected into the second quadrant. However, when the dolomitization is strong, the presence of a large amount of dolomite will lead to a high density, which can be higher than 2.8g / cm 3 When making specific judgments, if the CGR parameters of the sample tend to be concentrated at the high end of this region, especially when it crosses the boundary to the first quadrant, and the density is often too high, it is judged to be igneous rock; when the CGR of the sample is mostly in the middle and low value range, the density is mainly 2.90g / cm 3 Near or lower, especially when samples with the same characteristics cross the third quadrant, it is judged as dolomitized limestone. In addition, if element logging and imaging logging data are available, auxiliary judgment can be made: igneous rocks often have higher Ti, Fe, and Si contents (Ti ≥ 0.003 (v / v), Fe ≥ 0.04 (v / v), Si ≥ 0.05 (v / v)), and obvious induced fractures often appear on imaging logging; while carbonate rocks have lower Ti, Fe, and Si contents, and no obvious induced fractures appear on imaging logging.

[0123] Step 303: If the quadrant area where the target layer segment is located is the second quadrant, the corresponding uranium-free gamma logging data that meets the second percentage is concentrated in the preset medium and low value segments of the second quadrant, and the corresponding density logging data is less than or equal to the sixth threshold, especially when continuous distribution occurs and crosses to the third quadrant, the rock type corresponding to the target layer segment is determined to be dolomitized limestone.

[0124] Among them, the sixth threshold is 2.90g / cm 3 , the second percentage is 50%.

[0125] Step 304: If the quadrant region where the target layer segment is located is the third quadrant, the rock type corresponding to the target layer segment is determined to be limestone.

[0126] Specifically, the samples in this area have normal limestone logging response characteristics. If the sample data points are mainly located in this area, they are directly identified as limestone.

[0127] Step 305: If the quadrant region where the target layer segment is located is the fourth quadrant, the rock type corresponding to the target layer segment is determined to be a complex rock type.

[0128] The complex rocks include igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones, and limestones with a mud component content higher than a preset content threshold.

[0129] Specifically, according to the logging sensitive parameter response characteristics of the main lithology in the ultra-deepwater environment of the sea area, there are many types of lithology that can be projected into this area, such as strongly altered igneous rocks, igneous rocks with developed pores, sandstones, limestones with high argillaceous component content, etc. Therefore, the lithology projected in this area needs to be identified with the help of the gamma spectral crossplot in the next link.

[0130] In order to use the energy spectrum parameter plane intersection diagram and auxiliary conditions to perform joint discrimination to further improve the accuracy of rock identification results, in the embodiment of the rock type identification method for ultra-deep sea downhole oil and gas exploration of the present application, the rock type identification method for ultra-deep sea downhole oil and gas exploration further specifically includes the following contents after step 304:

[0131] Step 305: According to the energy spectrum parameter plane intersection diagram established by applying the pre-acquired energy spectrum logging data in advance, the distribution of igneous rocks with the degree of alteration reaching the preset strong alteration threshold, igneous rocks with developed porosity, sandstones and limestones with the mud component content higher than the preset content threshold in the complex rock types is obtained.

[0132] In order to further improve the accuracy of rock identification results and the convenience of application, provide a convenient rock identification method for on-site construction and related scientific research personnel, and then provide the accuracy and reliability of selecting ultra-deep-sea downhole oil and gas exploration methods according to rock identification results, in the embodiment of the rock type identification method for ultra-deep-sea downhole oil and gas exploration of the present application, see Figure 4 The rock type identification method for ultra-deep sea downhole oil and gas exploration further specifically includes the following contents after step 300:

[0133] Step 400: Output the rock type corresponding to the target layer section to determine the oil and gas production method for the target layer section according to the rock type.

[0134] In order to further illustrate the present solution, the present application also provides a specific application example of a rock type identification method for ultra-deep-sea downhole oil and gas exploration, which specifically includes the following contents:

[0135] This specific application example is suitable for the rapid identification of igneous rocks in ultra-deep-sea downhole oil and gas exploration, providing a convenient technical method for on-site construction and related scientific research personnel.

[0136] (1) Provide a set of discriminant charts based mainly on conventional logging parameters that can quickly, conveniently and accurately identify igneous rocks in ultra-deepwater oil and gas exploration in the sea area;

[0137] (2) Qualitative identification of the alkaline series of igneous rocks, the degree of alteration of igneous rocks, and dolomitization of limestone;

[0138] (3) In addition to the identification of igneous rocks, macroscopic identification is also carried out on the main surrounding rocks, namely limestone and clastic rocks.

[0139] Based on the actual situation of ultra-deepwater drilling in representative basins on the west coast of the Atlantic Ocean, the types of igneous rocks encountered during drilling were accurately identified on the basis of rock and mineral identification and rock chemical analysis. By optimizing the well logging sensitive parameters for intersection, analyzing the differences between igneous rock and surrounding rock types, determining the parameter limits, establishing the corresponding discrimination chart, clarifying the discrimination process, and realizing the rapid identification of underground igneous rocks. The main contents are as follows:

[0140] 1. Based on the CGR-DEN plane intersection diagram, the lithology is identified by the quadrant method:

[0141] (1) Establish a plane intersection diagram of deuranium gamma ray (CGR) logging (horizontal axis) and density (DEN) logging (vertical axis), and divide the quadrant area according to the parameter boundaries. The main consideration for selecting CGR and DEN for intersection is that these two parameters are relatively conventional and are most sensitive to the main lithology in ultra-deepwater environments, with relatively few interference factors. The parameter boundaries for dividing quadrants in the intersection diagram are: CGR uses 25API, and DEN uses 2.8g / cm 3 , which is also determined based on the probability of lithology distribution and the principle of minimum interference.

[0142] (2) In counterclockwise order, the first, second, third and fourth quadrants are divided respectively, and the layer segment to be identified (without obvious diameter expansion) is projected and four situations are identified in the quadrants:

[0143] ① The first quadrant area needs to meet CGR ≥ 25API, DEN ≥ 2.8g / cm 3 (Double high). When the projection points are mainly in this area, they can be directly identified as igneous rocks. The samples in this area are generally igneous rocks with weak alteration, and the greater the density, the more likely it is to be an intrusive rock. That is, when the majority of the density is greater than 2.85g / cm 3 When the CGR value is greater than 40API, it can be identified as an intrusive rock; the higher the CGR value, the more likely it is to be an alkaline rock series. For basic igneous rocks, when the CGR of most samples is greater than 40API, they can be identified as an alkaline series.

[0144] ② The second quadrant area needs to meet the requirements of CGR < 25API, DEN ≥ 2.8g / cm 3 When samples are projected into this area, they are mostly weakly altered calc-alkaline igneous rocks, and are mainly basic and ultrabasic types. However, dolomitized limestones may also appear: Generally, limestones have low CGR values ​​and low density values, and will not be projected into the second quadrant. However, when dolomitization is strong, the presence of a large amount of dolomite will lead to a high density, which can be higher than 2.8 g / cm 3When making specific judgments, if the CGR parameters of the sample tend to be concentrated at the high end of this region, especially when it crosses the boundary to the first quadrant, and the density is often too high, it is judged to be igneous rock; when the CGR of the sample is mostly in the middle and low value range, the density is mainly 2.90g / cm 3 Near or lower, especially when samples with the same characteristics cross the third quadrant, it is judged as dolomitized limestone. In addition, if element logging and imaging logging data are available, auxiliary judgment can be made: igneous rocks often have higher Ti, Fe, and Si contents (Ti ≥ 0.003 (v / v), Fe ≥ 0.04 (v / v), Si ≥ 0.05 (v / v)), and obvious induced fractures often appear on imaging logging; while carbonate rocks have lower Ti, Fe, and Si contents, and no obvious induced fractures appear on imaging logging.

[0145] ③ The third quadrant area needs to meet CGR < 25API, DEN < 2.8g / cm 3 (Double low). The samples in this area have normal logging response characteristics of limestone. If the sample data points are mainly projected in this area, they are directly identified as limestone.

[0146] ④ The fourth quadrant needs to meet CGR≥25API, DEN<2.8g / cm 3 According to the logging sensitive parameter response characteristics of the main lithology in the ultra-deepwater environment of the sea area, there are many types of lithology that can be projected into this area, such as strongly altered igneous rocks, igneous rocks with developed pores, sandstones, limestones with high content of mud components, etc. Therefore, the lithology projected in this area needs to be identified with the help of the gamma spectral cross-plot in the next link.

[0147] 2. Use the energy spectrum parameter plane intersection diagram and auxiliary conditions for joint discrimination

[0148] For the samples that were projected into the fourth quadrant during the quadrant method, the energy spectrum parameter plane intersection diagram and auxiliary condition joint discrimination were further used. Since energy spectrum logging is also a parameter that is basically collected in conventional logging, it is relatively convenient. Based on the energy spectrum parameters of the known lithology sections of dozens of representative wells, the plane intersection diagram of (Th / U) / (U / K) and Th was compiled to clarify the distribution areas of igneous rocks, clastic rocks and limestones, see Figure 5 .

[0149] The rock property spectrum parameters of the underground layer to be identified are Figure 5 Project the map on it, observe the distribution characteristics of the projected points, and then make a judgment. Figure 5 The overlapping area between medium igneous rocks and clastic rocks and limestones is small, and samples outside the overlapping area can be directly identified. Samples in the overlapping area can be identified by joint identification based on the general trend of the sample points in the section to be identified on the above cross-plot and auxiliary conditions:

[0150] (1) If the samples are mainly distributed in the igneous rock area, but a small part of the samples are distributed in the clastic rock or limestone area, if any two or more of the following conditions are met, it is judged as igneous rock, otherwise it is judged as non-igneous rock. These conditions are:

[0151] ①The time difference of sound waves is relatively small;

[0152] ② Continuous induced fractures and obvious diameter expansion appear in imaging logging;

[0153] ③ Imaging logging shows the unique structural features of igneous rocks (such as pillow structure, agglomerate structure, etc.);

[0154] ④ Element logging has high Ti, Fe, and Si contents (Ti ≥ 0.003 (v / v), Fe ≥ 0.04 (v / v), Si ≥ 0.05 (v / v));

[0155] ⑤Th / U>U / K.

[0156] (2) When the samples are mainly distributed in clastic rock or limestone areas, but a small number of samples are distributed in igneous rock areas, they are judged as non-igneous rocks if any two or more of the following conditions are met. These conditions are:

[0157] ①It has extremely high resistance and medium acoustic time difference;

[0158] ② It has lower resistance (non-water layer section), lower density and relatively higher acoustic time difference;

[0159] ③ There is no induced fracture, no diameter expansion or no obvious diameter expansion in imaging logging;

[0160] ④ Element logging has low Ti, Fe and Si contents (Ti<0.003(v / v), Fe<0.04(v / v), Si<0.05(v / v));

[0161] ⑤Th / U

[0162] The application example of this application has been successfully applied in old and newly drilled ultra-deep water wells in the S oil field and adjacent areas of the Santos Basin on the west coast of the South Atlantic. Through the review of old wells and the promotion and application of new wells, except for a small number of extremely thin layers (<0.5m) of igneous rock sections, all other situations have achieved accurate identification of igneous rock sections. By comparing with the layers with physical identification data, it has reached a complete consistency. In addition, it has also achieved the correction of many misjudged lithologies in the past. For example, in the review of old wells in S oil and gas, the correction of misjudged lithologies in 7 layers of 4 wells was achieved. This chart and supporting identification technology have been recognized after communication with Petrobras, and the application effect is very good.

[0163] ​From the above description, it can be seen that the rock type identification method for ultra-deep sea downhole oil and gas exploration in the specific application example of this application is suitable for the rapid identification of downhole igneous rocks in the process of oil and gas exploration and development in ultra-deep water environment (water depth > 1500m) in the sea area. The basic condition for identification is conventional logging data; considering the acquisition density of logging parameters (usually 8 data points are collected for 1 meter), the thickness of the igneous rock section to be identified should meet ≥0.5m; from land to sea, from shallow sea to deep water, this is a development trend of energy exploration and development. Going to deep water means more advanced technology. Oil and gas drilling under ultra-deep water conditions is high-risk and costly. Igneous rocks have a great influence on the development of oil and gas reservoirs and the evaluation of closures. Therefore, the rapid identification and effective prediction of downhole igneous rocks have become a crucial content of exploration and development, and have an important impact on reducing exploration risks and improving the success rate of oil and gas drilling. Deepwater exploration has become a high-level competition field for international oil companies. China National Petroleum Corporation has just started in this field and urgently needs to cultivate and develop its own unique technology series in the ultra-deepwater field. Due to the high accuracy of this technology in identifying igneous rocks in ultra-deepwater wells and its simple operation, it has a promising application prospect.

[0164] In order to effectively identify the rock type in the ultra-deep sea downhole oil and gas exploration process, and to effectively improve the efficiency and reliability of the identification process, and to effectively improve the accuracy of the rock identification result, the present application provides an embodiment of a rock type identification device for ultra-deep sea downhole oil and gas exploration, which can realize all or part of the contents of the rock type identification method for ultra-deep sea downhole oil and gas exploration, see Figure 6 The rock type identification device for ultra-deep-sea downhole oil and gas exploration specifically includes the following contents:

[0165] The logging data acquisition module 10 is used to respectively acquire the deuranium gamma logging data and density logging data of the target layer section located in the ultra-deep sea downhole area.

[0166] The quadrant area determination module 20 is used to determine the quadrant area where the target layer segment is located in a preset target plane intersection diagram according to the numerical values ​​corresponding to the deuranium gamma logging data and the density logging data, wherein the plane intersection diagram is a plane intersection diagram between deuranium gamma and density, and the target plane intersection diagram is provided with a plurality of quadrant areas pre-divided according to a first division threshold corresponding to the deuranium gamma logging data and a second division threshold corresponding to the density logging data.

[0167] The rock type identification module 30 is used to determine the rock type corresponding to the target layer segment according to the quadrant area where the target layer segment is located based on a preset identification rule.

[0168] The first threshold is 25 API, and the second threshold is 2.8 g / cm 3.

[0169] The embodiment of the rock type identification device for ultra-deep sea downhole oil and gas exploration provided in the embodiment of the present application can be specifically used to execute the processing flow of the embodiment of the rock type identification method for ultra-deep sea downhole oil and gas exploration in the above-mentioned embodiment. Its functions are not repeated here, and reference can be made to the detailed description of the embodiment of the rock type identification method for ultra-deep sea downhole oil and gas exploration.

[0170] From the above description, it can be seen that the rock type identification device for ultra-deep sea downhole oil and gas exploration provided in the embodiment of the present application can effectively identify the rock type in the process of ultra-deep sea downhole oil and gas exploration, and can effectively improve the efficiency and reliability of the identification process, and effectively improve the accuracy of the rock identification results. It is particularly suitable for rapid identification of igneous rocks in ultra-deep sea downhole oil and gas exploration, providing a convenient rock identification method for on-site construction and related scientific research personnel, and then being able to provide accuracy and reliability in selecting ultra-deep sea downhole oil and gas exploration methods based on rock identification results.

[0171] It can be understood that the rock types include: igneous rocks, clastic rocks, limestones and complex rocks; the igneous rocks include alkaline series igneous rocks and calc-alkaline series igneous rocks; wherein the complex rocks include igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones and limestones with a mud component content higher than a preset content threshold.

[0172] It can be understood that the ordinate of the target plane intersection diagram is used to represent the numerical value corresponding to the density logging data, and the abscissa is used to represent the numerical value corresponding to the deuranium gamma logging data.

[0173] Correspondingly, the quadrant areas of the target plane intersection diagram include: a first quadrant area, a second quadrant area, a third quadrant area and a fourth quadrant area.

[0174] The first quadrant region is a region where the value corresponding to the deuranium gamma logging data is greater than or equal to the first division threshold, and the value corresponding to the density logging data is greater than or equal to the second division threshold.

[0175] The second quadrant region is a region where the value corresponding to the deuranium gamma logging data is less than the first division threshold, and the value corresponding to the density logging data is greater than or equal to the second division threshold.

[0176] The third quadrant region is a region where the value corresponding to the deuranium gamma logging data is less than the first division threshold, and the value corresponding to the density logging data is less than the second division threshold.

[0177] The fourth quadrant region is a region where the value corresponding to the deuranium gamma logging data is greater than or equal to the first division threshold, and the value corresponding to the density logging data is less than the second division threshold.

[0178] In order to further improve the accuracy of rock identification results, in the embodiment of the rock type identification device for ultra-deep sea downhole oil and gas exploration of the present application, see Figure 7 The rock type identification module 30 specifically includes the following contents:

[0179] The igneous rock identification unit 31 is used to determine the rock type corresponding to the target layer segment as igneous rock if the quadrant area where the target layer segment is located is the first quadrant.

[0180] The igneous rock identification unit 31 is also used to further determine the igneous rock type corresponding to the target layer segment as an intrusive rock type if the density logging data corresponding to the target layer segment is greater than a third threshold. The third threshold is 2.85 g / cm 3 .

[0181] The igneous rock identification unit 31 is further used to further determine the igneous rock type corresponding to the target layer segment as an alkaline series igneous rock type if the deuranium gamma logging data corresponding to the target layer segment is greater than a fourth threshold value. The fourth threshold value is 40 API.

[0182] The calc-alkaline igneous rock or dolomitized limestone identification unit 32 is used to determine the rock type corresponding to the target layer segment as calc-alkaline igneous rock if the quadrant area where the target layer segment is located is the second quadrant, the data that meets the first percentage in the uranium-free gamma logging data are concentrated at the preset high value end of the second quadrant, and there is a continuous distribution and crosses to the first quadrant, and the corresponding density logging data is greater than the fifth threshold.

[0183] Wherein, the fifth threshold is 2.81g / cm 3 .

[0184] The calc-alkaline igneous rock or dolomitized limestone identification unit 32 is used to determine the rock type corresponding to the target layer segment as dolomitized limestone if the quadrant area where the target layer segment is located is the second quadrant, the corresponding uranium-free gamma logging data that meets the second percentage is concentrated in the preset medium and low value segment of the second quadrant, and the corresponding density logging data is less than or equal to the sixth threshold, especially when continuous distribution occurs and crosses to the third quadrant. The sixth threshold is 2.90 g / cm 3 The limestone identification unit 33 is configured to determine the rock type corresponding to the target layer segment as limestone if the quadrant region where the target layer segment is located is the third quadrant.

[0185] A complex rock type identification unit 34 is used to determine the rock type corresponding to the target layer segment as a complex rock type if the quadrant area where the target layer segment is located is the fourth quadrant;

[0186] The complex rocks include igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones, and limestones with a mud component content higher than a preset content threshold.

[0187] In order to use the energy spectrum parameter plane intersection diagram and auxiliary conditions to perform joint discrimination to further improve the accuracy of rock identification results, in the embodiment of the rock type identification device for ultra-deep sea downhole oil and gas exploration of the present application, see Figure 8 The rock type identification module 30 in the rock type identification device for ultra-deep sea downhole oil and gas exploration also specifically includes the following contents:

[0188] The joint discrimination unit 35 is used to obtain the distribution of igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed porosity, sandstones, and limestones with a mud component content higher than a preset content threshold in the complex rock types based on the energy spectrum parameter plane intersection diagram established by pre-application of pre-acquired energy spectrum logging data.

[0189] In order to further improve the accuracy of rock identification results and the convenience of application, provide a convenient rock identification device for on-site construction and related scientific research personnel, and then provide the accuracy and reliability of selecting ultra-deep-sea downhole oil and gas exploration methods according to rock identification results, in the embodiment of the rock type identification device for ultra-deep-sea downhole oil and gas exploration of the present application, see Fig. 9 The rock type identification device for ultra-deep-sea downhole oil and gas exploration also specifically includes the following contents:

[0190] The rock type output module 40 is used to output the rock type corresponding to the target layer section so as to determine the oil and gas production method for the target layer section according to the rock type.

[0191] From the hardware level, in order to effectively identify the rock type in the ultra-deep sea downhole oil and gas exploration process, and to effectively improve the efficiency and reliability of the identification process, and to effectively improve the accuracy of the rock identification result, the present application provides an embodiment of an electronic device for implementing all or part of the contents of the rock type identification method for ultra-deep sea downhole oil and gas exploration, and the electronic device specifically includes the following contents:

[0192] Processor, memory, communication interface and bus; wherein the processor, memory and communication interface communicate with each other through the bus; the communication interface is used to realize information transmission between the rock type identification device for ultra-deep-sea downhole oil and gas exploration and related equipment such as database, logging related equipment and user terminal; the electronic device can be a desktop computer, a tablet computer and a mobile terminal, etc., but the present embodiment is not limited thereto. In the present embodiment, the electronic device can be implemented with reference to the embodiment of the rock type identification method for ultra-deep-sea downhole oil and gas exploration and the embodiment of the rock type identification device for ultra-deep-sea downhole oil and gas exploration in the embodiment, and the contents thereof are incorporated herein, and the repeated parts are not repeated.

[0193] Fig.10 FIG. 9 is a schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Fig.10 As shown, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. It is worth noting that Fig.10 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0194] In one embodiment, the rock type identification function for ultra-deep sea downhole oil and gas exploration may be integrated into the central processor 9100. The central processor 9100 may be configured to perform the following control:

[0195] Step 100: respectively obtaining deuranium-removed gamma logging data and density logging data of a target layer section located in an ultra-deep sea downhole area.

[0196] Step 200: Determine the quadrant area where the target layer segment is located in a preset target plane intersection diagram according to the numerical values ​​corresponding to the deuranium gamma logging data and the density logging data, wherein the plane intersection diagram is a plane intersection diagram between deuranium gamma and density, and the target plane intersection diagram is provided with a plurality of quadrant areas pre-divided according to a first dividing threshold corresponding to the deuranium gamma logging data and a second dividing threshold corresponding to the density logging data.

[0197] Step 300: Based on a preset identification rule, determine the rock type corresponding to the target layer segment according to the quadrant area where the target layer segment is located.

[0198] From the above description, it can be seen that the electronic device provided in the embodiment of the present application can effectively identify the rock type in the process of ultra-deep sea downhole oil and gas exploration, and can effectively improve the efficiency and reliability of the identification process, and effectively improve the accuracy of the rock identification results. It is particularly suitable for rapid identification of igneous rocks in ultra-deep sea downhole oil and gas exploration, providing a convenient rock identification method for on-site construction and related scientific research personnel, and further providing the accuracy and reliability of selecting ultra-deep sea downhole oil and gas exploration methods based on rock identification results.

[0199] In another embodiment, the rock type identification device for ultra-deep sea downhole oil and gas exploration can be configured separately from the central processor 9100. For example, the rock type identification device for ultra-deep sea downhole oil and gas exploration can be configured as a chip connected to the central processor 9100, and the rock type identification function for ultra-deep sea downhole oil and gas exploration can be implemented through the control of the central processor.

[0200] like Fig.10 As shown, the electronic device 9600 may also include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily have to include Fig.10 In addition, the electronic device 9600 may also include Fig.10 For components not shown, reference may be made to the prior art.

[0201] like Fig.10 As shown, the central processing unit 9100 is sometimes also referred to as a controller or an operation control, and may include a microprocessor or other processor device and / or logic device. The central processing unit 9100 receives input and controls the operation of various components of the electronic device 9600.

[0202] The memory 9140 may be, for example, one or more of a cache, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory or other suitable devices. The above-mentioned information related to the failure may be stored, and a program for executing the relevant information may also be stored. The CPU 9100 may execute the program stored in the memory 9140 to implement information storage or processing, etc.

[0203] The input unit 9120 provides input to the central processing unit 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used to display display objects such as images and texts. The display may be, for example, an LCD display, but is not limited thereto.

[0204] The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), a SIM card, etc. It may also be a memory that saves information even when the power is off, can be selectively erased, and is provided with more data, examples of which are sometimes referred to as EPROMs, etc. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application / function storage unit 9142, which is used to store application programs and function programs or processes for executing the operation of the electronic device 9600 through the central processor 9100.

[0205] The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various drivers for communication functions of the electronic device and / or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0206] The communication module 9110 is a transmitter / receiver 9110 that sends and receives signals via an antenna 9111. The communication module (transmitter / receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as the case of a conventional mobile communication terminal.

[0207] Based on different communication technologies, multiple communication modules 9110 may be provided in the same electronic device, such as a cellular network module, a Bluetooth module and / or a wireless LAN module, etc. The communication module (transmitter / receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide an audio output via the speaker 9131 and receive an audio input from the microphone 9132, thereby realizing a common telecommunication function. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. In addition, the audio processor 9130 is also coupled to the central processor 9100, so that recording can be performed on the local machine through the microphone 9132, and the sound stored on the local machine can be played through the speaker 9131.

[0208] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps in the rock type identification method for ultra-deep-sea downhole oil and gas exploration in the above-mentioned embodiments, where the execution subject is a server or a client. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, all the steps of the rock type identification method for ultra-deep-sea downhole oil and gas exploration in the above-mentioned embodiments are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0209] Step 100: respectively obtaining deuranium-removed gamma logging data and density logging data of a target layer section located in an ultra-deep sea downhole area.

[0210] Step 200: Determine the quadrant area where the target layer segment is located in a preset target plane intersection diagram according to the numerical values ​​corresponding to the deuranium gamma logging data and the density logging data, wherein the plane intersection diagram is a plane intersection diagram between deuranium gamma and density, and the target plane intersection diagram is provided with a plurality of quadrant areas pre-divided according to a first dividing threshold corresponding to the deuranium gamma logging data and a second dividing threshold corresponding to the density logging data.

[0211] Step 300: Based on a preset identification rule, determine the rock type corresponding to the target layer segment according to the quadrant area where the target layer segment is located.

[0212] From the above description, it can be seen that the computer-readable storage medium provided in the embodiment of the present application can effectively identify the rock type in the ultra-deep sea downhole oil and gas exploration process, and can effectively improve the efficiency and reliability of the identification process, and effectively improve the accuracy of the rock identification results. It is particularly suitable for rapid identification of igneous rocks in ultra-deep sea downhole oil and gas exploration, providing a convenient rock identification method for on-site construction and related scientific research personnel, and further providing the accuracy and reliability of selecting ultra-deep sea downhole oil and gas exploration methods based on rock identification results.

[0213] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0214] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (apparatus), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0215] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0216] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0217] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A rock type identification method for ultra-deep-sea downhole oil and gas exploration, characterized in that: include: The deuranium gamma logging data and density logging data of the target layer section located in the ultra-deep sea downhole area are obtained respectively; According to the numerical values ​​corresponding to the deuranium gamma logging data and the density logging data, respectively, the quadrant area where the target layer section is located is determined in a preset target plane intersection diagram, wherein the plane intersection diagram is a plane intersection diagram between deuranium gamma and density, and the target plane intersection diagram is provided with a plurality of quadrant areas pre-divided according to a first division threshold corresponding to the deuranium gamma logging data and a second division threshold corresponding to the density logging data; Based on a preset recognition rule, the rock type corresponding to the target layer section is determined according to the quadrant area where the target layer section is located; The ordinate of the target plane intersection diagram is used to represent the value corresponding to the density logging data, and the abscissa is used to represent the value corresponding to the deuranium gamma logging data; Correspondingly, the quadrant areas of the target plane intersection diagram include: a first quadrant area, a second quadrant area, a third quadrant area, and a fourth quadrant area; The first quadrant region is a region where the value corresponding to the deuranium gamma logging data is greater than or equal to the first division threshold, and the value corresponding to the density logging data is greater than or equal to the second division threshold; The second quadrant region is a region where the value corresponding to the deuranium gamma logging data is less than the first division threshold, and the value corresponding to the density logging data is greater than or equal to the second division threshold; The third quadrant region is a region where the value corresponding to the deuranium gamma logging data is less than the first division threshold, and the value corresponding to the density logging data is less than the second division threshold; The fourth quadrant region is a region where the value corresponding to the deuranium gamma logging data is greater than or equal to the first division threshold, and the value corresponding to the density logging data is less than the second division threshold; specifically: The first quadrant area needs to meet CGR ≥ 25API, DEN ≥ 2.8g / cm 3 ; The second quadrant area needs to meet CGR < 25API, DEN ≥ 2.8g / cm 3 ; The third quadrant area needs to meet CGR < 25API, DEN < 2.8g / cm 3 ; The fourth quadrant needs to meet CGR≥25API, DEN<2.8g / cm 3 ; The step of determining the rock type corresponding to the target layer segment according to the quadrant region where the target layer segment is located based on a preset identification rule includes: If the quadrant region where the target layer section is located is the first quadrant, the rock type corresponding to the target layer section is determined to be igneous rock; If the quadrant region where the target layer segment is located is the second quadrant, the data that meet the first percentage in the uranium-free gamma logging data are concentrated at the preset high value end of the second quadrant, and appear to be continuously distributed and cross over to the first quadrant, and the corresponding density logging data is greater than the fifth threshold, the rock type corresponding to the target layer segment is determined to be calc-alkaline igneous rock; If the quadrant region where the target layer segment is located is the second quadrant, the data that meets the second percentage of the corresponding uranium-free gamma logging data are concentrated in the preset medium and low value segments of the second quadrant, and the corresponding density logging data is less than or equal to the sixth threshold, when continuous distribution occurs and crosses to the third quadrant, the rock type corresponding to the target layer segment is determined to be dolomitized limestone; If the quadrant region where the target layer section is located is the third quadrant, the rock type corresponding to the target layer section is determined to be limestone; If the quadrant region where the target layer section is located is the fourth quadrant, the rock type corresponding to the target layer section is determined to be a complex rock type; The complex rocks include igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones, and limestones with a mud component content higher than a preset content threshold.

2. The rock type identification method for ultra-deep sea downhole oil and gas exploration according to claim 1, characterized in that: The rock types include: igneous rocks, clastic rocks, limestones and complex rocks; The igneous rocks include alkaline series igneous rocks and calc-alkaline series igneous rocks; The complex rocks include igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones, and limestones with a mud component content higher than a preset content threshold.

3. The rock type identification method for ultra-deep sea downhole oil and gas exploration according to claim 1, characterized in that: Also includes: If the density logging data corresponding to the target layer interval is greater than a third threshold, the igneous rock type corresponding to the target layer interval is further determined as the intrusive rock type.

4. The rock type identification method for ultra-deep sea downhole oil and gas exploration according to claim 3 is characterized in that: The third threshold is 2.85 g / cm 3 .

5. The rock type identification method for ultra-deep sea downhole oil and gas exploration according to claim 1 or 3, characterized in that: Also includes: If the deuranium gamma logging data corresponding to the target layer section is greater than a fourth threshold, the igneous rock type corresponding to the target layer section is further determined to be an alkaline series igneous rock type.

6. The rock type identification method for ultra-deep-sea downhole oil and gas exploration according to claim 5 is characterized in that: The fourth threshold is 40 API.

7. The rock type identification method for ultra-deep sea downhole oil and gas exploration according to claim 1, characterized in that: The fifth threshold is 2.81 g / cm 3 , the first percentage is 50%.

8. The rock type identification method for ultra-deep sea downhole oil and gas exploration according to claim 1, characterized in that: The sixth threshold is 2.90 g / cm 3 , the second percentage is 50%.

9. The rock type identification method for ultra-deep sea downhole oil and gas exploration according to claim 1, characterized in that: Also includes: According to the energy spectrum parameter plane intersection diagram established by applying the pre-acquired energy spectrum logging data in advance, the distribution of igneous rocks with the degree of alteration reaching the preset strong alteration threshold, igneous rocks with developed porosity, sandstones and limestones with the mud component content higher than the preset content threshold in the complex rock types is obtained.

10. The rock type identification method for ultra-deep sea downhole oil and gas exploration according to claim 1, characterized in that: Also includes: The rock type corresponding to the target layer section is output to determine the oil and gas production method for the target layer section according to the rock type.

11. A rock type identification device for ultra-deep-sea downhole oil and gas exploration, characterized in that: include: A logging data acquisition module, used to respectively acquire deuranium gamma logging data and density logging data of a target layer section located in an ultra-deep sea well area; A quadrant region determination module is used to determine the quadrant region where the target layer segment is located in a preset target plane intersection diagram according to the numerical values ​​corresponding to the deuranium gamma logging data and the density logging data, wherein the plane intersection diagram is a plane intersection diagram between deuranium gamma and density, and the target plane intersection diagram is provided with a plurality of quadrant regions pre-divided according to a first division threshold corresponding to the deuranium gamma logging data and a second division threshold corresponding to the density logging data; A rock type identification module, used to determine the rock type corresponding to the target layer segment according to the quadrant area where the target layer segment is located based on a preset identification rule; The ordinate of the target plane intersection diagram is used to represent the value corresponding to the density logging data, and the abscissa is used to represent the value corresponding to the deuranium gamma logging data; Correspondingly, the quadrant areas of the target plane intersection diagram include: a first quadrant area, a second quadrant area, a third quadrant area, and a fourth quadrant area; The first quadrant region is a region where the value corresponding to the deuranium gamma logging data is greater than or equal to the first division threshold, and the value corresponding to the density logging data is greater than or equal to the second division threshold; The second quadrant region is a region where the value corresponding to the deuranium gamma logging data is less than the first division threshold, and the value corresponding to the density logging data is greater than or equal to the second division threshold; The third quadrant region is a region where the value corresponding to the deuranium gamma logging data is less than the first division threshold, and the value corresponding to the density logging data is less than the second division threshold; The fourth quadrant region is a region where the value corresponding to the deuranium gamma logging data is greater than or equal to the first division threshold, and the value corresponding to the density logging data is less than the second division threshold; specifically: The first quadrant area needs to meet CGR ≥ 25API, DEN ≥ 2.8g / cm 3 ; The second quadrant area needs to meet CGR < 25API, DEN ≥ 2.8g / cm 3 ; The third quadrant area needs to meet CGR < 25API, DEN < 2.8g / cm 3 ; The fourth quadrant needs to meet CGR≥25API, DEN<2.8g / cm 3 ; The rock type identification module includes: an igneous rock identification unit, configured to determine the rock type corresponding to the target layer segment as igneous rock if the quadrant region where the target layer segment is located is the first quadrant; a calc-alkaline igneous rock or dolomitized limestone identification unit, for determining the rock type corresponding to the target layer segment as calc-alkaline igneous rock if the quadrant region where the target layer segment is located is the second quadrant, the data in the uranium-removed gamma logging data that meet the first percentage are concentrated at a preset high value end of the second quadrant, and appear to be continuously distributed and cross over to the first quadrant, and the corresponding density logging data is greater than a fifth threshold; The calc-alkaline igneous rock or dolomitized limestone identification unit is further used to determine the rock type corresponding to the target layer segment as dolomitized limestone when the quadrant area where the target layer segment is located is the second quadrant, the corresponding uranium-free gamma logging data that meets the second percentage is concentrated in the preset medium and low value segments of the second quadrant, and the corresponding density logging data is less than or equal to a sixth threshold value, and when continuous distribution occurs and crosses to the third quadrant; a limestone identification unit, configured to determine the rock type corresponding to the target layer segment as limestone if the quadrant region where the target layer segment is located is the third quadrant; A complex rock type identification unit, configured to determine the rock type corresponding to the target layer segment as a complex rock type if the quadrant region where the target layer segment is located is the fourth quadrant; The complex rocks include igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones, and limestones with a mud component content higher than a preset content threshold.

12. The rock type identification device for ultra-deep-sea downhole oil and gas exploration according to claim 11, characterized in that: The rock types include: igneous rocks, clastic rocks, limestones and complex rocks; The igneous rocks include alkaline series igneous rocks and calc-alkaline series igneous rocks; The complex rocks include igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones, and limestones with a mud component content higher than a preset content threshold.

13. The rock type identification device for ultra-deep-sea downhole oil and gas exploration according to claim 11, characterized in that: The igneous rock identification unit is also used to further determine the igneous rock type corresponding to the target layer section as an intrusive rock type if the density logging data corresponding to the target layer section is greater than a third threshold.

14. The rock type identification device for ultra-deep-sea downhole oil and gas exploration according to claim 13, characterized in that: The third threshold is 2.85 g / cm 3 .

15. The rock type identification device for ultra-deep-sea downhole oil and gas exploration according to claim 11 or 13, characterized in that: The igneous rock identification unit is further used to further determine the igneous rock type corresponding to the target layer segment as an alkaline series igneous rock type if the deuranium gamma logging data corresponding to the target layer segment is greater than a fourth threshold.

16. The rock type identification device for ultra-deep-sea downhole oil and gas exploration according to claim 15, characterized in that: The fourth threshold is 40 API.

17. The rock type identification device for ultra-deep-sea downhole oil and gas exploration according to claim 11, characterized in that: The fifth threshold is 2.81 g / cm 3 , the first percentage is 50%.

18. The rock type identification device for ultra-deep-sea downhole oil and gas exploration according to claim 11, characterized in that: The sixth threshold is 2.90 g / cm 3 , the second percentage is 50%.

19. The rock type identification device for ultra-deep-sea downhole oil and gas exploration according to claim 11, characterized in that: The rock type identification module also includes: The joint discrimination unit is used to obtain the distribution of igneous rocks with an alteration degree reaching a preset strong alteration threshold, igneous rocks with developed pores, sandstones, and limestones with a mud component content higher than a preset content threshold in the complex rock types based on an energy spectrum parameter plane intersection diagram established by pre-application of pre-acquired energy spectrum logging data.

20. The rock type identification device for ultra-deep-sea downhole oil and gas exploration according to claim 11, characterized in that: Also includes: The rock type output module is used to output the rock type corresponding to the target layer section so as to determine the oil and gas production method for the target layer section according to the rock type.

21. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the rock type identification method for ultra-deep sea downhole oil and gas exploration as described in any one of claims 1 to 10 are implemented.

22. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the rock type identification method for ultra-deep sea downhole oil and gas exploration as described in any one of claims 1 to 10 are implemented.

Images