Gas while-drilling photoelectric fusion detection device and oil gas mineral resource quality evaluation method

By designing dust removal and dehumidification chambers in the gas drilling detection device and using photoelectric fusion testing methods, combined with machine learning technology, the problem of reducing detection accuracy of dust-containing wet gas in the wellbore is solved, and the rapid and accurate identification of oil and gas reservoirs and accurate prediction of key gas content of oil and gas resources is achieved, which improves the efficient and reliable identification and evaluation of oil and gas resources.

CN120028324APending Publication Date: 2025-05-23JILIN UNIVERSITY
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Patent Information

Application Number
CN202510083269.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-20
Publication Date
2025-05-23

AI Technical Summary

Technical Problem

The complex dust-containing and wet gas to be tested obtained in the wellbore will reduce the detection performance of the sensor parts, resulting in a decrease in detection accuracy, affecting the identification of oil and gas reservoirs and accurate prediction of key gas content of oil and gas resources.

Method used

A gas photoelectric fusion detection device is designed, including a dust removal and dehumidification chamber and a photoelectric fusion test method. Through dust removal and dehumidification treatment and photoelectric fusion detection, combined with machine learning technology, it can achieve rapid and accurate identification of oil and gas reservoirs and accurate prediction of key gas content of oil and gas resources.

Benefits of technology

Through dust removal and dehumidification treatment and photoelectric fusion detection, the detection performance of the sensor parts is significantly improved, rapid and accurate identification of oil and gas reservoirs and accurate prediction of key gas content of oil and gas resources are achieved, and efficient and reliable identification and evaluation of oil and gas resources are improved.

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Abstract

The invention discloses a gas while-drilling photoelectric fusion detection device and an oil-gas mineral resource quality evaluation method, and belongs to the technical field of oil-gas exploration. In the device, a dust removal and dehumidification device, a sensing device and a controller are fixed in a housing; the mixed gas of the dust-containing wet to-be-detected gas and the carrier gas sequentially passes through the dust removal and dehumidification device and the sensing device; the internal structure of the dust removal and dehumidification device adopts a bionics design method, so that the dust removal and dehumidification capability can be improved, and the detection sensitivity of the sensing module can be improved after dust particles and water in the mixed gas are removed. The sensing device comprises an optical gas detector and a semiconductor sensor array, data information of to-be-detected gas is obtained through a photoelectric fusion detection technology, oil, gas and mineral resources are identified and the quality is evaluated by utilizing a machine learning method, and the state identification accuracy and efficiency of the oil, gas and mineral resources are improved.
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Description

Technical Field

[0001] The invention belongs to the technical field of oil and gas exploration, and in particular relates to a gas while-drilling photoelectric fusion detection device and an oil and gas deposit quality evaluation method. Background Art

[0002] Traditional oil and gas exploration and evaluation methods require on-site investigations, drilling and sampling, and further laboratory analysis of oil and gas composition, which is usually inefficient. In oil and gas resource (crude oil, natural gas, oil shale, etc.) reservoirs, the content of key gases (methane, ethane, hydrogen sulfide, etc.) can reflect the state of oil and gas deposits. Downhole gas detection while drilling is a major development trend in the field of mud logging. By conducting in-situ detection of relevant gases while drilling, on the one hand, it is possible to quickly and accurately identify oil and gas reservoirs and guide the drilling process; at the same time, it is possible to accurately predict the content of key gases in oil and gas resources, strongly support the evaluation of oil and gas deposit quality, and save exploration costs and time.

[0003] Gas sensor array is a rapidly developing gas detection technology with high detection efficiency, short response time, low cost, and the ability to achieve real-time rapid detection. It is gaining more and more attention in the field of oil and gas exploration. Optical gas detection technology has the advantages of high sensitivity, low detection limit, and short response time. It has been used for real-time detection of various trace and micro gases in various environments.

[0004] However, the fine dust particles and water vapor contained in the complex dusty and wet test gas obtained in the wellbore will cause adverse effects such as reduced sensitivity or even failure of the sensor devices in the drilling system, reduce detection accuracy, and ultimately affect the identification of oil and gas reservoirs and the accurate prediction of the key gas content of oil and gas resources.

[0005] In response to this key technical issue, dust removal and dehumidification treatment of the gas to be tested in the gas logging system, as well as optimization of the gas flow state in the sensor detection area, can help improve the detection performance of the sensor device. In nature, rice leaves have a super-hydrophobic surface that can directional water transport due to their unique micro-nano hierarchical structure on the surface; inspired by the super-hydrophobic surface structure of rice leaves, a dust removal and dehumidification chamber is designed, where water vapor liquefies on the inner wall of the chamber and wraps around dust particles, and is discharged in a directionally manner through the super-hydrophobic and self-cleaning surface, which helps promote the purification of dusty and moist gas to be tested. In addition, designing an airflow channel with a fractal structure in the sensor detection area helps promote full contact between the purified gas to be tested and the sensor, significantly improving the detection performance of the sensor device.

[0006] On the other hand, in the process of identifying oil and gas reservoirs, accurate and rapid identification of oil and gas reservoirs can be achieved through accurate detection of trace specific gases, guiding the drilling and exploration process. At the same time, accurate detection of multi-component gases in oil and gas reservoirs can predict the status of oil and gas deposits. At present, accurate and reliable in-situ detection of oil and gas while drilling cannot be achieved using only gas sensor arrays or optical gas detection technology. First, although the gas sensor array can detect multi-component gases in real time and quickly, its detection accuracy for single specific trace gases is low and the detection limit is high. Secondly, although optical gas detection technology is more accurate in detecting single specific gases, it requires larger equipment volume and higher cost to detect multi-component gases.

[0007] To address this key technical issue, we use optoelectronic fusion testing methods, integrating gas sensor array technology and optical gas detection technology to detect the gas to be tested. At the same time, we combine machine learning technology to invent a method for rapid and accurate identification of oil and gas reservoirs and accurate prediction of the key gas content of oil and gas resources, thereby improving the gas while-drilling detection capability and providing strong support for the efficient and reliable identification and evaluation of oil and gas resources. Summary of the invention

[0008] The purpose of the present invention is to propose a gas while drilling optoelectronic fusion detection device, which can remove dust and moisture from the dusty and moist gas to be tested obtained while drilling in oil and gas deposits, thereby improving the detection performance of the sensor device; at the same time, the optoelectronic fusion test method is used to detect the gas to be tested, and the gas while drilling detection capability is improved through machine learning methods, which effectively supports the efficient and reliable identification and evaluation of oil and gas resources.

[0009] The gas while drilling photoelectric fusion detection device of the present invention is composed of a housing A, a dust removal and dehumidification device B, a sensor device C and a controller 1. The sensor device C and the dust removal and dehumidification device B are arranged from top to bottom and placed in the housing A. The air inlet Ⅰ13 of the dust removal and dehumidification chamber B1 on the right side of the dust removal and dehumidification device B is connected to the inlet pipe 4 of the housing A through a pipeline; the heating pipe 5 of the dust removal and dehumidification device B is connected to the air inlet Ⅱ21 of the sensor device C through a pipeline; the micro air pump 18 of the sensor device C is connected to the outlet pipe 3 of the housing A through a pipeline; the controller 1 is fixed to the right side of the left plate of the shell 2 in the housing A, and is located between the outlet pipe 3 and the inlet pipe 4. The housing A is composed of a housing 2, an outlet pipe 3 and an inlet pipe 4. The housing 2 is a rectangular box, the outlet pipe 3 is fixed to the upper left outer side of the housing 2, and the inlet pipe 4 is fixed to the lower left outer side of the housing 2.

[0010] The dust removal and dehumidification device B is composed of a dust removal and dehumidification chamber B1, a heating tube 5, a temperature sensor I6, a micro-pump 7, a temperature sensor II8 and a water collecting tank 9, wherein: a water guide hole 12 is provided near the right end below the water collecting tank 9; the dust removal and dehumidification chamber B1 is a rectangular box-shaped structure, and a directional water delivery plate group B2, an air outlet I10, a water seepage porous structure 11 and an air inlet I13 are provided in the dust removal and dehumidification chamber B1; the directional water delivery plate group B2 is composed of 18-22 directional water delivery plates 16 symmetrically arranged in an upper and lower manner, and each directional water delivery plate 16 is provided with a refrigeration device 17; the front and back sides of the directional water delivery plate 16 are provided with a bionic hydrophobic groove type vertical structure unit B3, and the bionic hydrophobic groove type vertical structure unit B3 consists of a large concave The directional water supply plate 16 is arranged in the up-down direction of the directional water supply plate 16; the air outlet hole Ⅰ10 is arranged at the left end of the dust removal and dehumidification chamber B1; the air inlet hole Ⅰ13 is arranged at the right end of the dust removal and dehumidification chamber B1; the temperature sensor Ⅰ6 is fixedly connected to the upper surface of the heating tube 5 near the left end; the right end of the heating tube 5 is fixedly connected to the air outlet hole Ⅰ10 of the dust removal and dehumidification chamber B1; the micro water pump 7 is fixedly connected to the lower part of the heating tube 5 and the lower left part of the water collecting tank 9; the temperature sensor Ⅱ8 is fixedly connected to the upper center of the dust removal and dehumidification chamber B1; the water collecting tank 9 is fixedly connected to the lower part of the dust removal and dehumidification chamber B1.

[0011] The diameter D1 of the air outlet hole Ⅰ10 and the air inlet hole Ⅰ13 is 8-10mm; the height L4 of the dust removal and dehumidification device B is 28-30mm, and the wall thickness is 1-1.5mm; the length L1 is 90-160mm; the height L5 of the directional water supply plate 16 is 19-21mm, the thickness L3 is 3-4mm, and the spacing L2 between the opposite sides of the two directional water supply plates 16 symmetrically interlaced in the directional water supply plate group B2 is 2-3mm; the horizontal width L6 of the large groove group 14 is 800-900μm, and the depth L8 of the large groove is 250-310μm; the horizontal width L7 of the small groove is 80-90μm, and the depth L9 of the small groove is 100-120μm; the surfaces of the large groove group 14 and the small groove group 15 are irregularly distributed with arc-shaped micro-protrusions with a diameter of 0.5-2μm.

[0012] The sensor device C is composed of a micro air pump 18, an optical gas detector C1 and a semiconductor sensor device C2, wherein: the optical gas detector C1 is composed of a gas detection chamber 19, an air outlet hole II 20 and an air inlet hole II 21, the air outlet hole II 20 is arranged on the upper right side of the gas detection chamber 19; the air inlet hole II 21 is arranged on the upper left side of the gas detection chamber 19; the semiconductor sensor device C2 is composed of an air outlet hole III 22, a cover plate 23, a semiconductor sensor array 24, a flow channel 25, and an air inlet hole III 26; the air outlet hole III 22 is arranged at the left end of the cover plate 23; the air inlet hole III 26 is arranged at the right end of the cover plate 23; the diameters D2 of the air outlet hole III 22 and the air inlet hole III 26 are both 8-12 mm; the semiconductor sensor array 24 is arranged in the middle of the lower side of the cover plate 23; the flow channel 25 is arranged between the cover plate 23 and the semiconductor sensor array 24.

[0013] The length L12 of the cover plate 23 in the left-right direction is 55-80 mm, and the length L13 in the vertical direction is 50-70 mm. 3-5 grooves with fractal structures are evenly distributed below the cover plate 23. The grooves are arranged in the left-right direction, and the groove depth L11 is 0.8-1.2 mm; the maximum width L14 of the groove is 6-8 mm;

[0014] 8-10 groups of groove-type fractal units are evenly distributed on the front and back sides of each groove. The structure of each groove-type fractal unit is designed according to the fractal principle. Taking the groove-type fractal unit on the front side as an example, its specific structure is as follows: the total length L15 is 6-8mm, the left side length L20 and the middle length L16 are both one-third of L15, the height L17 is 0.8-1 times of L16, the curve corresponding to the middle length L16 is a parabola, and the height h1 of the parabola is one-third of the height L17, which is a primary fractal structure; the left side length L21 and the middle length L18 are both one-third of L20, L19 is 0.8-1 times of L18, the curve corresponding to the middle length L18 is a parabola, and the height h2 of the parabola is one-third of the height L19, which is a secondary fractal structure; the gap L10 of the flow channel 25 is 0.8-1.2mm.

[0015] The semiconductor sensor device C2 and the optical gas detector C1 are arranged vertically, and the gas outlet II20 in the optical gas detector C1 is connected to the gas inlet III26 of the semiconductor sensor device C2 through a pipeline; the gas outlet III22 of the semiconductor sensor device C2 is connected to the micro air pump 18 through a pipeline.

[0016] The working process of the gas while drilling photoelectric fusion detection device in the present invention is as follows:

[0017] The dusty and wet gas to be tested and the carrier gas enter the inlet pipe 4, pass through the dust removal and dehumidification device B and the sensor device C in sequence, complete the gas detection, and finally discharge from the outlet pipe 3. The details are as follows:

[0018] First, the controller 1 controls the micro air pump 18 to draw the dusty and wet gas to be tested and the carrier gas from the inlet pipe 4 into the dust removal and dehumidification device B;

[0019] The directional water delivery plate 16 in the chamber of the dust removal and dehumidification device B divides the airflow channel into reciprocating channels, increases the airflow flow distance, and promotes the humid gas to fully contact with the directional water delivery plate 16. At the same time, the controller 1 controls the refrigeration device 17 embedded in the directional water delivery plate 16 to reduce the temperature in the chamber to a specific temperature, further promoting the condensation of water in the dusty humid gas. The condensed liquid water carries the dust particles from the directional water delivery plate 16 with the hydrophobic microstructure imitating rice leaves through the water permeable porous structure 11 into the water collection tank 9, and is pumped away by the micro pump 7 through the water guide hole 12, and finally discharged from the outlet pipe 3. The mixed gas composed of the purified gas to be tested and the carrier gas is heated to the specified temperature by the heating tube 5 and enters the sensor device C, and then enters the optical gas detector C1 and the semiconductor sensor device C2 to complete the gas detection. Finally, the gas is discharged from the outlet pipe 3. When the sensor needs to be cleaned, the controller 1 controls the micro air pump 18 to suck the carrier gas from the inlet pipe 4 to complete the cleaning.

[0020] The oil and gas deposit quality evaluation method based on the gas while drilling photoelectric fusion detection device of the present invention comprises the following steps:

[0021] 1) According to the key gas components of the oil and gas reservoir, a single specific target detection gas of the optical gas detector C1 is selected, denoted as G;

[0022] 2) Using the optical gas detector C1 to realize the identification of oil and gas reservoirs while drilling, the steps are as follows:

[0023] 2.1 Use the optical gas detector C1 to collect data of the target gas G in real time, and convert the odor information of G in step 1) into numerical data that is easy to process, recorded as x;

[0024] 2.2 According to the optical gas detector C1 signal and gas concentration inversion method, the numerical data x collected by the optical gas detector C1 is inverted into the target gas concentration in real time, denoted as c;

[0025] 2.3 Determine whether the drill bit has reached the oil and gas reservoir based on the target gas concentration c. If the drill bit has reached the oil and gas reservoir, the time is recorded as t 1 , and slow down the drilling speed to evaluate the quality of oil and gas deposits; if the drill bit does not reach the oil and gas reservoir, continue drilling at the same speed;

[0026] 3) Constructing a semiconductor sensor array 24: According to the compound type of the key gas in the oil and gas reservoir, a gas sensor capable of detecting other main gases in addition to the single specific target detection gas G in step 1) is selected to form a semiconductor sensor array 24;

[0027] 4) Establishing an optoelectronic fusion detection system for evaluating the quality of oil and gas deposits: comprising the optical gas detector C1 used in step 1) and the semiconductor sensor array 24 constructed in step 3);

[0028] 5) Use the optoelectronic fusion system to evaluate the quality of oil and gas deposits while drilling. The steps are as follows:

[0029] 5.1 The key gas content of different oil and gas resources is accurately measured in the laboratory to form a label set, which is denoted as set U = {u 1 ,u 2 ,u 3 ,…,u k}, and use the photoelectric fusion system to collect key gas information of oil and gas, which is recorded as set V = {v 1 ,v 2 ,v 3 ,…,v k}, U and V together form the training set

[0030] 5.2 Use the steady-state feature extraction method to extract the features of V and form a feature set, denoted as F v ;

[0031] 5.3 Using machine learning regression analysis random forest method, feature F v As input, a random forest regression model for determining the key gas content of oil and gas reservoirs is constructed, denoted as M;

[0032] 5.4 Using the photoelectric fusion detection system for oil and gas deposit quality evaluation, the key gas odor information of oil and gas in the ongoing oil and gas exploration while drilling is converted into numerical data that is easy to process, recorded as y;

[0033] 5.5 Use the steady-state feature extraction method to extract the features of y and form a feature set, denoted as F y ;

[0034] 5.6 Using the random forest regression model M constructed in step 5.3 to determine the key gas content of oil and gas reservoirs, feature F y As input, the key gas content of the oil and gas reservoir is obtained, denoted as R;

[0035] 5.7 Use the target gas concentration c detected by the optical gas detector C1 to determine whether the drill bit has drilled through the oil and gas reservoir. If the drill bit has drilled through the oil and gas reservoir, record the time as t 2 ; If the drill bit does not drill through the oil and gas reservoir, continue drilling;

[0036] 5.8 According to time t 1 and t 2, the distance drilled by the drill bit during this time period is obtained, recorded as S;

[0037] 5.9 The quality of oil and gas deposits shall be evaluated based on the key gas content R of the oil and gas resources and the drilling distance S of the drill bit.

[0038] The beneficial effects of the present invention are:

[0039] By removing dust and moisture from the dusty wet airflow, the sensitivity of the sensor device is avoided from being reduced or even failing, and the detection performance of the sensor device is improved. On this basis, optical detectors and gas sensors are used for photoelectric fusion detection, combined with machine learning methods, to identify and evaluate the quality of oil and gas deposits, and to improve the accuracy and efficiency of oil and gas deposit status identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a front view of the gas while drilling optoelectronic fusion detection device;

[0041] Figure 2 is the front view of the cover A;

[0042] Figure 3 is a three-dimensional diagram of the dust removal and dehumidification device B;

[0043] Figure 4 is a cross-sectional view of the heating tube 5;

[0044] Figure 5 is a cross-sectional view of the dust removal and dehumidification device B;

[0045] Figure 6 It is a three-dimensional image of the bionic hydrophobic groove type vertical structural unit B3;

[0046] Figure 7 This is the front view of the bionic hydrophobic groove type vertical structural unit B3;

[0047] Figure 8 is a cross-sectional view of the directional water delivery plate 16;

[0048] Fig. 9 It is a front view of the directional water delivery plate 16;

[0049] Fig.10 for Fig. 9 The enlarged view indicated by a in the figure;

[0050] Fig.11 is a three-dimensional diagram of the sensor device C;

[0051] Fig.12 A side view of the sensor device C

[0052] Fig.13 A perspective view of the optical gas detector C1

[0053] Fig.14 A cross-sectional view of a semiconductor sensor device C2

[0054] Fig.15 A diagram of the cover plate 23;

[0055] Fig.16 is a top view of the cover plate 23;

[0056] Fig.17 for Fig.16 b is an enlarged view of the surface structure of the cover plate 23;

[0057] Wherein: A. Cover B. Dust removal and dehumidification device B1. Dust removal and dehumidification chamber B2. Directional water delivery plate group B3. Bionic hydrophobic groove type vertical structure unit C. Sensor device C1. Optical gas detector C2. Semiconductor sensor device 1. Controller 2. Shell 3. Outlet pipe 4. Inlet pipe 5. Heating pipe 6. Temperature sensor I 7. Micro water pump 8. Temperature sensor II 9. Water collecting tank 10. Air outlet I 11. Water seepage porous structure 12. Water guide hole 13. Air inlet I 14. Large groove group 15. Small groove group 16. Directional water delivery plate 17. Refrigeration device 18. Micro air pump 19. Gas detection chamber 20. Air outlet II 21. Air inlet II 22. Air outlet III 23. Cover plate 24. Semiconductor sensor array 25. Flow channel 26. Air inlet III. DETAILED DESCRIPTION

[0058] The present invention is described below with reference to the accompanying drawings.

[0059] like Figure 1 and Figure 2 As shown, the gas while drilling photoelectric fusion detection device of the present invention is composed of a housing A, a dust removal and dehumidification device B, a sensor device C, and a controller 1. The sensor device C and the dust removal and dehumidification device B are arranged from top to bottom and placed in the housing A; the housing A is composed of a shell 2, an outlet pipe 3 and an inlet pipe 4. The shell 2 is a rectangular box, and the outlet pipe 3 is fixedly connected to the upper left outer side of the shell 2, and the inlet pipe 4 is fixedly connected to the lower left outer side of the shell 2. The controller 1 is fixedly connected to the right side of the left plate of the shell 2 in the housing A, and is located between the outlet pipe 3 and the inlet pipe 4.

[0060] like Figures 3 to 10As shown, the dust removal and dehumidification device B is composed of a dust removal and dehumidification chamber B1, a heating pipe 5, a temperature sensor I6, a micro pump 7, a temperature sensor II8 and a water collecting tank 9, wherein: a water guide hole 12 is provided near the right end below the water collecting tank 9; the air inlet I13 of the dust removal and dehumidification chamber B1 on the right side of the dust removal and dehumidification device B is connected to the inlet pipe 4 of the housing A through a pipeline; the heating pipe 5 of the dust removal and dehumidification device B is connected to the air inlet II21 of the sensor device C through a pipeline; the dust removal and dehumidification chamber B1 is a rectangular box-shaped structure, and the dust removal and dehumidification chamber B1 is provided with a directional water supply plate group B2, an air outlet hole I10, a water seepage porous structure (11) and an air inlet hole I13, and the directional water supply plate group B2 is composed of 18-22 directional water supply plates 16 symmetrically arranged in an upper and lower manner, and each directional water supply plate 16 is provided with a refrigeration device 17; the front and back sides of the directional water supply plate 16 A bionic hydrophobic groove type vertical structure unit B3 is provided, and the bionic hydrophobic groove type vertical structure unit B3 consists of a large groove group 14 and a small groove group 15; the large groove group 14 consists of 28-30 large grooves, the small groove group 15 is located in the large groove group 14, and the small groove group 15 consists of 4-6 small grooves; the grooves are arranged in the up and down directions of the directional water supply plate 16; the air outlet Ⅰ10 is arranged at the left end of the dust removal and dehumidification chamber B1; the air inlet Ⅰ13 is arranged at the right end of the dust removal and dehumidification chamber B1; the temperature sensor Ⅰ6 is fixedly connected to the upper surface near the left end of the heating tube 5; the right end of the heating tube 5 is fixedly connected to the air outlet Ⅰ10 of the dust removal and dehumidification chamber B1; the micro water pump 7 is fixedly connected to the lower part of the heating tube 5 and the lower left part of the water collecting tank 9; the temperature sensor Ⅱ8 is fixedly connected to the upper center of the dust removal and dehumidification chamber B1; the water collecting tank 9 is fixedly connected to the lower part of the dust removal and dehumidification chamber B1.

[0061] The diameter D1 of the air outlet hole Ⅰ10 and the air inlet hole Ⅰ13 is 8-10mm; the height L4 of the dust removal and dehumidification device B is 28-30mm, and the wall thickness is 1-1.5mm; the length L1 is 90-160mm; the height L5 of the directional water supply plate 16 is 19-21mm, the thickness L3 is 3-4mm, and the spacing L2 between the opposite sides of the two directional water supply plates 16 symmetrically interlaced in the directional water supply plate group B2 is 2-3mm; the horizontal width L6 of the large groove group 14 is 800-900μm, and the depth L8 of the large groove is 250-310μm; the horizontal width L7 of the small groove is 80-90μm, and the depth L9 of the small groove is 100-120μm; the surfaces of the large groove group 14 and the small groove group 15 are irregularly distributed with arc-shaped micro-protrusions with a diameter of 0.5-2μm;

[0062] like Figures 11 to 17As shown, the sensor device C is composed of an optical gas detector C1 and a semiconductor sensor device C2, wherein: the optical gas detector C1 is composed of a gas detection chamber 19, an air outlet II 20 and an air inlet II 21, the air outlet II 20 is arranged on the upper right side of the gas detection chamber 19; the air inlet II 21 is arranged on the upper left side of the gas detection chamber 19; the semiconductor sensor device C2 is composed of an air outlet III 22, a cover plate 23, a semiconductor sensor array 24, a flow channel 25, an air inlet III 2 6; the semiconductor sensor device C2 in the sensor device C is connected to the micro air pump 18 through a pipeline, and the micro air pump 18 is connected to the outlet pipe 3 of the cover shell A through a pipeline; the air outlet hole III 22 is arranged at the left end of the cover plate 23; the air inlet hole III 26 is arranged at the right end of the cover plate 23; the diameter D2 of the air outlet hole III 22 and the air inlet hole III 26 are both 8-12mm; the semiconductor sensor array 24 is arranged in the middle of the lower side of the cover plate 23; the flow channel 25 is arranged between the cover plate 23 and the semiconductor sensor array 24.

[0063] The length L12 of the cover plate 23 in the left-right direction is 55-80mm, and the length L13 in the vertical direction is 50-70mm. There are 3-5 grooves with fractal structures evenly distributed below the cover plate 23. The groove direction is along the left-right direction, and the groove depth L11 is 0.8-1.2mm; the maximum width L14 of the groove is 6-8mm; 8-10 groups of groove-type fractal units are evenly distributed on the front and back sides of each groove, and the structure of each groove-type fractal unit is designed according to the fractal principle. Taking the groove-type fractal unit on the front side as an example, its specific structure is as follows: the total length L15 is 6-8mm, the left length L20 and the middle length L16 are both one-third of L15, the height L17 is 0.8-1 times of L16, the curve corresponding to the middle length L16 is a parabola, and the height h1 of the parabola is one-third of the height L17, which is a primary fractal structure; the left length L21 and the middle length L18 are both one-third of L20, L19 is 0.8-1 times of L18, the curve corresponding to the middle length L18 is a parabola, and the height h2 of the parabola is one-third of the height L19, which is a secondary fractal structure; the gap L10 of the flow channel 25 is 0.8-1.2mm.

[0064] The semiconductor sensor device C2 and the optical gas detector C1 are arranged vertically. The gas outlet II20 in the optical gas detector C1 is connected to the gas inlet III26 of the semiconductor sensor device C2 via a pipeline. The gas outlet III22 of the semiconductor sensor device C2 is connected to the micro air pump 18 via a pipeline.

[0065] The oil and gas deposit quality evaluation method based on the gas while drilling photoelectric fusion detection device of the present invention comprises the following steps:

[0066] 1) According to the key gas components of oil and gas reservoirs, methane gas is selected as the single specific target detection gas of the optical gas detector C1;

[0067] 2) For methane gas, the optical gas detector C1 is used to realize the identification of oil and gas reservoirs while drilling. The steps are as follows:

[0068] 2.1 Use the optical gas detector C1 to collect methane gas detection data in real time and convert the methane gas odor information into numerical data that is easy to process;

[0069] 2.2 According to the Lambert-Beer law, the numerical data of methane gas collected by the optical gas detector C1 is inverted into methane gas concentration in real time;

[0070] 2.3 Determine whether the drill bit has reached the oil and gas reservoir based on whether the methane gas concentration has changed significantly. If the drill bit has reached the oil and gas reservoir, record the time and slow down the drilling speed to evaluate the quality of the oil and gas deposits. If the drill bit has not reached the oil and gas reservoir, maintain the drilling speed and continue drilling.

[0071] 3) Constructing a semiconductor sensor array 24: According to the compound types of key gases in the oil and gas reservoir, a semiconductor metal oxide gas sensor capable of detecting other main gases such as ethane, hydrogen sulfide, carbon monoxide, etc. in addition to methane gas is selected to form a semiconductor sensor array 24;

[0072] 4) Establishing an optoelectronic fusion detection system for evaluating the quality of oil and gas deposits: including an optical gas detector C1 for methane gas and a constructed semiconductor sensor array 24;

[0073] 5) Use the optoelectronic fusion system to evaluate the quality of oil and gas deposits while drilling. The steps are as follows:

[0074] 5.1 The key gas content of different oil and gas resources is accurately measured in the laboratory to form a label. At the same time, the photoelectric fusion system is used to collect the key gas information of oil and gas, and the photoelectric fusion detection system for oil and gas mineral quality evaluation is used to convert the odor information into numerical data that is easy to process. The numerical data collected each time includes the semiconductor metal oxide sensor response data obtained by the semiconductor sensor array 24, and the methane gas concentration value obtained by the Lambert-Beer law inversion of an optical gas detector C1 for methane gas. The key gas content label and the numerical data converted by the photoelectric fusion system together constitute a training set;

[0075] 5.2 Use the average feature extraction method to take the average value of the sample data to be tested composed of the sample points, extract the average feature of the training set, and form a feature set;

[0076] 5.3 Using the random forest method of machine learning regression analysis, after parameter optimization, the feature set is used as input to construct an offline random forest regression model for determining the key gas content of oil and gas reservoirs;

[0077] 5.4 Use the photoelectric fusion detection system for oil and gas deposit quality evaluation to convert the key gas odor information of oil and gas in ongoing oil and gas exploration while drilling into numerical data that is easy to process;

[0078] 5.5 Using the average feature extraction method, extract the features of the key gas numerical data of oil and gas being explored while drilling obtained in step 5.4 to form a feature set;

[0079] 5.6 Using the offline random forest regression model for determining the key gas content of the oil and gas reservoir constructed in step 5.3, the feature set obtained in step 5.5 is used as input to obtain the key gas content of the oil and gas reservoir;

[0080] 5.7 Whether the methane gas concentration detected by the optical gas detector C1 changes significantly is used to determine whether the drill bit has drilled through the oil and gas reservoir. If the drill bit has drilled through the oil and gas reservoir, the time is recorded; if the drill bit has not drilled through the oil and gas reservoir, drilling continues;

[0081] 5.8 Based on the time in 2.3 and 5.7, calculate the distance the drill bit has traveled during this time period;

[0082] 5.9 Evaluate the quality of the oil and gas deposits based on the key gas content of the oil and gas resources in 5.6 and the drilling distance of the drill bit in 5.8.

Claims

1. A gas while drilling photoelectric fusion detection device, characterized in that: The invention is composed of a housing (A), a dust removal and dehumidification device (B), a sensor device (C) and a controller (1); the dust removal and dehumidification device (B) is composed of a dust removal and dehumidification chamber (B1), a heating pipe (5), a temperature sensor I (6), a micro water pump (7), a temperature sensor II (8) and a water collecting tank (9); a water guide hole (12) is arranged near the right end below the water collecting tank (9); the dust removal and dehumidification chamber (B1) is a rectangular box-shaped structure; the dust removal and dehumidification chamber (B1) is provided with a directional water supply plate group (B2), an air outlet hole I (10), a water seepage porous structure (11) and an air inlet hole I (13); the directional water supply plate group (B2) is composed of 18 to 22 directional water supply plates (16) symmetrically arranged in an upper and lower manner. Each directional water supply plate (16) is provided with a cooling device (17); a bionic hydrophobic groove type vertical structure unit (B3) is provided on the front and back sides of the directional water supply plate (16); the bionic hydrophobic groove type vertical structure unit (B3) is composed of a large groove group (14) and a small groove group (15); the large groove group (14) is composed of 28-30 large grooves; the small groove group (15) is located in the large groove group (14), and the small groove group (15) is composed of 4-6 small grooves; the grooves are arranged along the vertical direction of the directional water supply plate (16); the air outlet hole I (10) is provided at the left end of the dust removal and dehumidification chamber (B1); the air inlet hole I (13) is provided at the right end of the dust removal and dehumidification chamber (B1); the temperature sensor I (6) is fixedly connected to the heating pipe (5) near the upper left end; the right end of the heating tube (5) is fixedly connected to the air outlet hole I (10) of the dust removal and dehumidification chamber (B1); the micro water pump (7) is fixedly connected to the lower part of the heating tube (5) and the lower left part of the water collecting tank (9); the temperature sensor II (8) is fixedly connected to the upper center of the dust removal and dehumidification chamber (B1); the water collecting tank (9) is fixedly connected to the lower part of the dust removal and dehumidification chamber (B1); the sensing device (C) is composed of a micro air pump (18), an optical gas detector (C1) and a semiconductor sensor device (C2), wherein: the optical gas detector (C1) is composed of a gas detection chamber (19), an air outlet hole II (20) and an air inlet hole II (21), and the air outlet hole II (20) is arranged on the upper right side of the gas detection chamber (19); the air inlet hole II (21) is arranged on the upper right side of the gas detection chamber (19); the air inlet hole II (21) is arranged on the lower ... The air hole II (21) is arranged on the upper left side of the gas detection chamber (19); the semiconductor sensor device (C2) is composed of an air outlet hole III (22), a cover plate (23), a semiconductor sensor array (24), a flow channel (25), and an air inlet hole III (26); the air outlet hole III (22) is arranged at the left end of the cover plate (23); the air inlet hole III (26) is arranged at the right end of the cover plate (23); the diameter D2 of the air outlet hole III (22) and the air inlet hole III (26) are both 8-12 mm; the semiconductor sensor array (24) is arranged at the middle part of the lower side of the cover plate (23); the flow channel (25) is arranged between the cover plate (23) and the semiconductor sensor array (24); the sensor device (C) is located above the dust removal and dehumidification device (B) and is placed in the cover shell (A);The air inlet hole I (13) of the dust removal and dehumidification chamber (B1) on the right side of the dust removal and dehumidification device (B) is connected to the inlet pipe (4) of the housing (A) through a pipeline; the heating pipe (5) of the dust removal and dehumidification device (B) is connected to the air inlet hole II (21) of the sensor device (C) through a pipeline; the micro air pump (18) of the sensor device (C) is connected to the outlet pipe (3) of the housing (A) through a pipeline; the controller (1) is fixed to the right side of the left plate of the shell (2) in the housing (A) and is located between the outlet pipe (3) and the inlet pipe (4). ; 2. The gas while drilling photoelectric fusion detection device according to claim 1, characterized in that: The cover (A) is composed of a shell (2), an outlet pipe (3) and an inlet pipe (4); the shell (2) is a rectangular box; the outlet pipe (3) is fixedly connected to the upper left outer side of the shell (2); and the inlet pipe (4) is fixedly connected to the lower left outer side of the shell (2).

3. The gas while drilling photoelectric fusion detection device according to claim 1, characterized in that: The diameter D1 of the air outlet hole I (10) and the air inlet hole I (13) is 8-10 mm; the height L4 of the dust removal and dehumidification device (B) is 28-30 mm, and the wall thickness is 1-1.5 mm; the length L1 is 90-160 mm; the height L5 of the directional water supply plate (16) is 19-21 mm, the thickness L3 is 3-4 mm, and the spacing L2 between the opposite sides of the two directional water supply plates (16) symmetrically interlaced in the directional water supply plate group (B2) is 2-3 mm; the horizontal width L6 of the large groove group (14) is 800-900 μm, and the depth L8 of the large groove is 250-310 μm; the horizontal width L7 of the small groove is 80-90 μm, and the depth L9 of the small groove is 100-120 μm; the surfaces of the large groove group (14) and the small groove group (15) are irregularly distributed with arc-shaped micro-protrusions with a diameter of 0.5-2 μm.

4. The gas while drilling optoelectronic fusion detection device according to claim 1, characterized in that: The cover plate (23) has a left-right length L12 of 55-80 mm and a vertical length L13 of 50-70 mm. 3-5 grooves with fractal structures are evenly distributed below the cover plate (23). The grooves are arranged in the left-right direction and have a groove depth L11 of 0.8-1.2 mm. The maximum width L14 of the groove is 6-8mm; 8-10 groups of groove-type fractal units are evenly distributed on the front and back sides of each groove, and the structure of each groove-type fractal unit is designed according to the fractal principle. Taking the groove-type fractal unit on the front side as an example, its specific structure is as follows: the total length L15 is 6-8mm, the left side length L20 and the middle length L16 are both one-third of L15, the height L17 is 0.8-1 times of L16, and the curve corresponding to the middle length L16 is a parabola, and the height h1 of the parabola is one-third of the height L17. This is a primary fractal structure; the left side length L21 and the middle length L18 are both L 20 is one third, L19 is 0.8-1 times of L18, the curve corresponding to the middle length L18 is a parabola, and the height h2 of the parabola is one third of the height L19, which is a secondary fractal structure; the gap L10 of the flow channel (25) is 0.8-1.2 mm; the semiconductor sensor device (C2) and the optical gas detector (C1) are arranged up and down, and the outlet hole II (20) in the optical gas detector (C1) is connected to the inlet hole III (26) of the semiconductor sensor device (C2) through a pipeline; the outlet hole III (22) of the semiconductor sensor device (C2) is connected to the micro air pump (18) through a pipeline.

5. A method for evaluating the quality of oil and gas deposits based on the gas-while-drilling optoelectronic fusion detection device according to claim 1, characterized in that: The following steps are involved: 1) According to the key gas components of the oil and gas reservoir, a single specific target detection gas of the optical gas detector (C1) is selected, denoted as G; 2) Using optical gas detector (C1) to realize oil and gas reservoir identification while drilling, the steps are as follows: 2.1 Using an optical gas detector (C1) to collect data of the target gas G in real time, and converting the odor information of G in step 1) into numerical data that is easy to process, denoted as x; 2.2 According to the optical gas detector (C1) signal and the gas concentration inversion method, the numerical data x collected by the optical gas detector (C1) is inverted into the target gas concentration in real time, which is recorded as c; 2.3 Determine whether the drill bit has reached the oil and gas reservoir according to the target gas concentration c. If the drill bit has reached the oil and gas reservoir, this time is recorded as t1, and the drilling speed is slowed down to evaluate the quality of the oil and gas deposits. If the drill bit has not reached the oil and gas reservoir, the drilling speed is maintained and drilling is continued. 3) Constructing a semiconductor sensor array (24): According to the compound type of the key gas in the oil and gas reservoir, a gas sensor capable of detecting other main gases in addition to the single specific target detection gas G in step 1) is selected to form a semiconductor sensor array (24); 4) Establishing an optoelectronic fusion detection system for evaluating the quality of oil and gas deposits: comprising the optical gas detector (C1) used in step 1) and the semiconductor sensor array (24) constructed in step 3); 5) Use the optoelectronic fusion system to evaluate the quality of oil and gas deposits while drilling. The steps are as follows: 5.1 The key gas content of different oil and gas resources is accurately measured in the laboratory to form a label set, which is recorded as set U = {u1,u2,u3,…,u k }, and use the photoelectric fusion system to collect key gas information of oil and gas, which is recorded as a set V = {v1, v2, v3, …, v k }, U and V together form the training set 5.2 Use the steady-state feature extraction method to extract the features of V and form a feature set, denoted as F v ; 5.3 Using machine learning regression analysis random forest method, feature F v As input, a random forest regression model for determining the key gas content of oil and gas reservoirs is constructed, denoted as M; 5.4 Using the photoelectric fusion detection system for oil and gas deposit quality evaluation, the key gas odor information of oil and gas in the ongoing oil and gas exploration while drilling is converted into numerical data that is easy to process, recorded as y; 5.5 Use the steady-state feature extraction method to extract the features of y and form a feature set, denoted as F y ; 5.6 Using the random forest regression model M constructed in step 5.3 to determine the key gas content of oil and gas reservoirs, feature F y As input, the key gas content of the oil and gas reservoir is obtained, denoted as R; 5.7 Using the target gas concentration c detected by the optical gas detector (C1), determine whether the drill bit has drilled through the oil and gas reservoir position. If the drill bit has drilled through the oil and gas reservoir position, record this time as t2; if the drill bit has not drilled through the oil and gas reservoir position, continue drilling; 5.8 According to the time t1 and t2, the distance drilled by the drill bit during this time period is obtained, which is recorded as S; 5.9 The quality of oil and gas deposits shall be evaluated based on the key gas content R of the oil and gas resources and the drilling distance S of the drill bit.