Land oil and gas field gas logging system based on semipermeable membrane continuous degassing

Abstract

The invention provides a land oil and gas field gas logging system based on semipermeable membrane continuous degassing. The land oil and gas field gas logging system comprises a driving-force-free semipermeable membrane degassing module, an environmental data detection module, an in-situ gas analysis module, a data transmission module and a data analysis module. According to the system, a driving-force-free semi-permeable membrane degassing module, an environmental data detection module and an in-situ gas analysis module are arranged in a gas logging well, the driving-force-free semi-permeable membrane degassing module is used for achieving online degassing, and the in-situ gas analysis module receives light hydrocarbon gas separated by the driving-force-free semi-permeable membrane degassing module and analyzes the light hydrocarbon gas in real time; the detection delay is reduced, the gas concentration data is corrected according to the data collected by the environment data detection module, and the gas concentration data is sent to the data analysis module through the data transmission module. The defects of low degassing efficiency and detection delay in the prior art are overcome.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas exploration, and in particular to a land oil and gas field gas logging system based on semi-permeable membrane line degassing. Background Art

[0002] In the field of oil and gas exploration, gas logging technology is crucial for identifying oil and gas layers and evaluating reservoir properties by detecting gas components and concentrations in drilling fluids.

[0003] Traditional gas logging technology relies on mechanical degassers, such as using an electric pump to degas the gas, then transporting the gas to the surface and analyzing the gas composition and concentration using a gas chromatograph installed on the surface. This will result in a long detection delay, and the mechanical degassing method has low degassing efficiency, making it difficult to meet the real-time exploration needs of oil and gas reservoirs. Summary of the Invention

[0004] The present invention provides a land oil and gas field gas logging system based on continuous degassing of a semipermeable membrane, which is used to solve the problems of low degassing efficiency and detection delay in the prior art.

[0005] In one aspect, the present invention provides a land oil and gas field gas logging system based on semipermeable membrane continuous degassing, comprising: a non-driving force semipermeable membrane degassing module, an environmental data detection module, an in-situ gas analysis module, a data transmission module, and a data analysis module; the non-driving force semipermeable membrane degassing module, the environmental data detection module, and the in-situ gas analysis module are arranged in the gas logging system; The in-situ gas analysis module is configured to: receiving the light hydrocarbon gas in the drilling fluid separated by the non-driving force semipermeable membrane degassing module through gas-liquid osmosis, and performing component analysis on the light hydrocarbon gas to obtain gas concentration data; receiving drilling fluid viscosity, temperature parameters and downhole pressure parameters collected by the environmental data detection module; Inputting the drilling fluid viscosity, the temperature parameter, and the downhole pressure parameter into an adaptive compensation algorithm, and outputting a deviation compensation value; Correcting the gas concentration data using the deviation compensation value; sending the gas concentration data to the data transmission module; The data analysis module is configured to receive the gas concentration data transmitted by the data transmission module and generate a gas concentration curve.

[0006] Optionally, the non-driving force semipermeable membrane degassing module includes a semipermeable membrane submodule, a carrier gas circulation submodule and an anti-blocking submodule; The semipermeable membrane submodule is provided with a ceramic-polyorganosiloxane membrane, the outer layer of the ceramic-polyorganosiloxane membrane is a modified polyorganosiloxane membrane separation layer, and the inner layer of the ceramic-polyorganosiloxane membrane is a ceramic support layer; a nano-oleophobic layer is attached to the surface of the modified polyorganosiloxane membrane separation layer; The carrier gas circulation submodule is configured to use air or an inert gas as a carrier gas and drive gas enrichment through the concentration difference on both sides of the ceramic-polyorganosiloxane membrane; The anti-clogging submodule is provided with a pulse backflush unit, an ultrasonic unit and a laser particle size analyzer; The pulse blowback unit and the ultrasonic unit are both configured to be activated at a first preset time interval for a preset time; The laser particle size analyzer is configured to detect a particle concentration difference on both sides of the ceramic-polyorganosiloxane membrane and send the particle concentration difference to the data analysis module.

[0007] Optionally, the data analysis module is configured to: receiving the particle size concentration difference; If the particle size concentration difference is greater than a preset threshold, a blockage alarm is generated.

[0008] Optionally, the environmental data detection module includes: a temperature sensor, a vibration viscometer and a pressure sensor; The temperature sensor is used to detect the temperature parameters in the gas logging; The vibration viscometer is used to detect the viscosity of drilling fluid; The pressure sensor is used to detect downhole pressure parameters in gas logging.

[0009] Optionally, the in-situ gas analysis module includes a multi-dimensional detection submodule; the multi-dimensional detection submodule is provided with a micro infrared spectrometer, a micro gas chromatograph and an electrochemical sensor; The micro infrared spectrometer is configured to detect 、 、 Gas concentration data; The micro gas chromatograph is configured to detect Gas concentrations of hydrocarbons and benzene series; The electrochemical sensor is configured to detect 、 gas concentration.

[0010] Optionally, the in-situ gas analysis module further includes an automatic sampling switching unit; The automatic injection switching unit is configured to switch the injection paths of the micro infrared spectrometer and the micro gas chromatograph at a second preset time interval.

[0011] Optionally, the in-situ gas analysis module further includes a data acquisition submodule; The data acquisition submodule is configured as follows: receiving a temperature parameter detected by the temperature sensor; receiving the drilling fluid viscosity detected by the vibration viscometer; Receive the downhole pressure parameter detected by the pressure sensor.

[0012] Optionally, the in-situ gas analysis module further includes a data correction submodule; The data correction submodule is configured as follows: Using a triple standard deviation criterion to filter out abnormal values ​​in the temperature parameter, the drilling fluid viscosity, and the downhole pressure parameter to obtain preprocessed data; Normalizing the preprocessed data to obtain standard data; Extracting the parameter change rate and cumulative value of the standard data to obtain a parameter vector; The parameter vector is input into the long short-term memory network, the nonlinear relationship between the parameter vectors is captured through multiple hidden layers, and the deviation compensation value is output.

[0013] Optionally, a power supply module is further included; the power supply module supplies power to the environmental data detection module, the in-situ gas analysis module and the data transmission module respectively.

[0014] Optionally, the data analysis module is further configured to: If the The gas concentration, The gas concentration, If the concentration of any gas in the gas is greater than the preset gas concentration, an abnormal concentration alarm is generated.

[0015] It can be seen from the above technical solution that the present invention provides a land oil and gas field gas logging system based on continuous degassing of semipermeable membranes, comprising: a no-driving-force semipermeable membrane degassing module, an environmental data detection module, an in-situ gas analysis module, a data transmission module and a data analysis module; the no-driving-force semipermeable membrane degassing module, the environmental data detection module and the in-situ gas analysis module are arranged in the gas logging system; the in-situ gas analysis module is configured to: receive the light hydrocarbon gas in the drilling fluid separated by gas-liquid osmosis by the no-driving-force semipermeable membrane degassing module, and perform component analysis on the light hydrocarbon gas to obtain gas concentration data; receive the drilling fluid viscosity, temperature parameters and downhole pressure parameters collected by the environmental data detection module; input the drilling fluid viscosity, the temperature parameters and the downhole pressure parameters into an adaptive compensation algorithm and output a deviation compensation value; correct the gas concentration data through the deviation compensation value; send the gas concentration data to the data transmission module; the data analysis module is configured to receive the gas concentration data transmitted by the data transmission module and generate a gas concentration curve. The onshore oil and gas field gas logging system based on semipermeable membrane inline degassing provided by the present invention incorporates a no-driving-force semipermeable membrane degassing module, an environmental data detection module, and an in-situ gas analysis module within the gas logging system. The no-driving-force semipermeable membrane degassing module is used to achieve in-line degassing. The in-situ gas analysis module receives the light hydrocarbon gas separated by the no-driving-force semipermeable membrane degassing module and performs real-time analysis, reducing detection delay. The in-situ gas analysis module then corrects gas concentration data based on data collected by the environmental data detection module and transmits the gas concentration data to the data analysis module via the data transmission module. This overcomes the drawbacks of low degassing efficiency and detection delay in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 Schematic diagram of the structure of a land oil and gas field gas logging system based on continuous degassing of a semipermeable membrane provided by an embodiment of the present invention; Figure 2 Schematic diagram of the structure of a semipermeable membrane degassing module without driving force provided by an embodiment of the present invention; Figure 3 Schematic diagram of the structure of the environmental data detection module provided by an embodiment of the present invention; Figure 4 It is a schematic structural diagram of the in-situ gas analysis module provided by an embodiment of the present invention.

[0018] Reference numerals: 101. Non-driving force semipermeable membrane degassing module; 1011. Semipermeable membrane submodule; 1012. Carrier gas circulation submodule; 1013. Anti-blocking submodule; 102. Environmental data detection module; 1021. Temperature sensor; 1022. Vibration viscometer; 1023. Pressure sensor; 103. In-situ gas analysis module; 1031. Micro infrared spectrometer; 1032. Micro gas chromatograph; 1033. Electrochemical sensor; 1034. Automatic sampling switching unit; 1035. Data acquisition submodule; 104. Data transmission module; 105. Data analysis module; 106. Power supply module. DETAILED DESCRIPTION

[0019] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0020] Figure 1 Schematic diagram of a land oil and gas field gas logging system based on continuous degassing of a semipermeable membrane provided by an embodiment of the present invention.

[0021] like Figure 1 As shown, an embodiment of the present invention provides a land oil and gas field gas logging system based on continuous degassing of a semipermeable membrane, wherein the land oil and gas field gas logging system based on continuous degassing of a semipermeable membrane comprises: The non-driving force semipermeable membrane degassing module 101, the environmental data detection module 102, the in-situ gas analysis module 103, the data transmission module 104 and the data analysis module 105; the non-driving force semipermeable membrane degassing module 101, the environmental data detection module 102 and the in-situ gas analysis module 103 are arranged in the gas logging.

[0022] Among them, the non-driving force semipermeable membrane degassing module 101 utilizes the selective permeability of the semipermeable membrane to achieve continuous degassing of gas without the need for external driving force, and effectively collects the gas that needs to be collected. The environmental data detection module 102 is responsible for real-time monitoring of environmental pressure, temperature and other parameters in the logging, and adjusts the gas composition information according to the parameters. The in-situ gas analysis module 103 performs component analysis on the degassed gas to quickly and accurately obtain gas composition information in the oil and gas field. The data transmission module 104 is responsible for transmitting the data collected by each module to the data analysis module 105 to realize real-time sharing and analysis of data. The data analysis module 105 processes and analyzes the collected data to provide users with intuitive oil and gas field gas logging results and reports.

[0023] Specifically, the in-situ gas analysis module 103 is configured as follows: Receiving the light hydrocarbon gas in the drilling fluid separated by the non-driving force semi-permeable membrane degassing module 101 through gas-liquid osmosis, and performing component analysis on the light hydrocarbon gas to obtain gas concentration data; Receive drilling fluid viscosity, temperature parameters and downhole pressure parameters collected by the environmental data detection module 102; Input drilling fluid viscosity, temperature parameters and downhole pressure parameters to the adaptive compensation algorithm, and output the deviation compensation value; Correct the gas concentration data through the deviation compensation value; Sending the gas concentration data to the data transmission module 104; The data analysis module 105 is configured to receive the gas concentration data transmitted by the data transmission module 104 and generate a gas concentration curve.

[0024] The non-driven semipermeable membrane degassing module 101 utilizes the selective permeability of the semipermeable membrane to continuously degas gas without external driving force, effectively collecting light hydrocarbon gases from the drilling fluid. Subsequently, the in-situ gas analysis module 103 analyzes the light hydrocarbon gases and uses its internal detection devices to accurately measure the concentrations of various gases, generating gas concentration data.

[0025] Simultaneously, the in-situ gas analysis module 103 also receives drilling fluid viscosity, temperature, and downhole pressure parameters collected by the environmental data detection module 102. These parameters can affect the accuracy of gas concentration data detection. Therefore, the environmental data detection module 102 monitors and collects these parameters in real time, providing the necessary input information for the in-situ gas analysis module 103.

[0026] After receiving drilling fluid viscosity, temperature, and downhole pressure parameters, the in-situ gas analysis module 103 inputs these parameters into an adaptive compensation algorithm. The adaptive compensation algorithm automatically calculates and outputs a deviation compensation value based on changes in environmental parameters, which is used to correct the gas concentration data, thereby improving data accuracy.

[0027] After correcting the gas concentration data using the deviation compensation value, the in-situ gas analysis module 103 sends the corrected gas concentration data to the data transmission module 104. The data transmission module 104 is responsible for transmitting the data collected by each module to the data analysis module 105 to achieve real-time data sharing and analysis.

[0028] After receiving the gas concentration data from the data transmission module 104, the data analysis module 105 processes and analyzes the data to generate a visual gas concentration curve. By comparing historical data, the data analysis module 105 can also identify gas concentration trends and further determine the distribution and dynamic changes of oil and gas reservoirs. When the gas concentration exceeds a preset threshold, the data analysis module 105 automatically triggers an alarm, prompting operators to take appropriate measures.

[0029] The onshore oil and gas field gas logging system based on continuous semipermeable membrane degassing, provided by the embodiments of the present invention, achieves precise monitoring and analysis of oil and gas field gas logging through the collaborative work of a non-driving semipermeable membrane degassing module 101, an environmental data detection module 102, an in-situ gas analysis module 103, a data transmission module 104, and a data analysis module 105. This not only improves the efficiency and accuracy of oil and gas field exploration but also provides strong technical support for oil and gas field development and management. Furthermore, the provision of an adaptive compensation algorithm and alarm functions further enhances the system's reliability and practicality.

[0030] In some embodiments, as Figure 2 As shown, the non-driving force semi-permeable membrane degassing module 101 includes a semi-permeable membrane submodule 1011 , a carrier gas circulation submodule 1012 and an anti-clogging submodule 1013 .

[0031] The semipermeable membrane submodule 1011 is provided with a ceramic-polyorganosiloxane membrane, the outer layer of the ceramic-polyorganosiloxane membrane is a modified polyorganosiloxane membrane separation layer, and the inner layer of the ceramic-polyorganosiloxane membrane is a ceramic support layer; a nano-oleophobic layer is attached to the surface of the modified polyorganosiloxane membrane separation layer.

[0032] Among them, the semipermeable membrane has different permeabilities to different gas components. For example, the permeability to heavy hydrocarbons such as ethane and propane is lower than that to methane, which will result in a higher proportion of light hydrocarbon components in subsequent test results, affecting the judgment of oil and gas properties.

[0033] Furthermore, drilling fluids containing non-hydrocarbon gases such as carbon dioxide and hydrogen sulfide can compete with light hydrocarbons for membrane pores, reducing the efficiency of target component enrichment. Therefore, in the examples of this application, a modified polyorganosiloxane membrane separation layer is used to separate light hydrocarbon gases through natural gas-liquid osmosis. Furthermore, the modified polyorganosiloxane membrane separation layer has the advantage of strong anti-pollution properties.

[0034] However, the stability range of the modified polyorganosiloxane membrane separation layer is -10°C-120°C. When the downhole temperature reaches an extremely high temperature, exceeding 120°C, the modified polyorganosiloxane membrane separation layer may degrade, resulting in a decrease in permeability.

[0035] Therefore, in the embodiment of the present application, a ceramic support layer is further provided to provide the modified polyorganosiloxane membrane separation layer with necessary mechanical strength and thermal stability.

[0036] In addition, a nano-oleophobic layer is covered on the surface of the modified polyorganosiloxane membrane separation layer. The nano-oleophobic layer can effectively prevent the accumulation of oily components on the membrane surface, thereby avoiding the blockage of the membrane pores and ensuring the smooth passage of gas.

[0037] The carrier gas circulation submodule 1012 is configured to use air or an inert gas as the carrier gas, driving gas enrichment via the concentration gradient across the ceramic-polyorganosiloxane membrane. The operating principle of the carrier gas circulation submodule 1012 is to utilize the combination of the ceramic support layer and the modified polyorganosiloxane membrane separation layer, along with the circulating flow of the carrier gas, to create a concentration gradient, thereby driving the enrichment of light hydrocarbon gases on the membrane.

[0038] Specifically, when the carrier gas passes through the modified polysiloxane membrane separation layer during the circulation process, due to the difference in gas concentration on both sides of the membrane, the light hydrocarbon gas will be selectively adsorbed on one side of the membrane, while the carrier gas continues to flow, forming an enrichment effect.

[0039] The anti-clogging submodule 1013 is provided with a pulse backflush unit, an ultrasonic unit and a laser particle size analyzer; The pulse backflush unit and the ultrasonic wave unit are both configured to be activated at first preset time intervals for a preset time.

[0040] The laser particle size analyzer is configured to detect the difference in particle concentration on both sides of the ceramic-polyorganosiloxane membrane and send the particle concentration difference to the data analysis module 105 .

[0041] Specifically, the pulse backflush unit periodically releases high-pressure gas pulses to purge the surface of the ceramic-polyorganosiloxane membrane, removing accumulated particulate matter and preventing clogging of the membrane pores. The ultrasonic unit utilizes the cavitation effect and microfluidics of ultrasound to physically clean the ceramic-polyorganosiloxane membrane surface. When ultrasound propagates through the liquid, it forms tiny bubbles that quickly burst, generating intense microjets that impact the membrane surface, effectively removing particles and contaminants adhering to the membrane.

[0042] A laser particle size analyzer is used as a detection tool to assess the degree of membrane clogging by measuring the difference in particle concentration on both sides of the ceramic-polyorganosiloxane membrane. A laser beam emitted by the laser particle size analyzer passes through the membrane. The intensity of the laser light scattered by the particles is proportional to their size and number. By comparing the scattered intensities on both sides of the membrane, the particle concentration difference can be calculated and the data is sent to the data analysis module 105 for analysis.

[0043] For example, during oil and gas field logging, a ceramic-polyorganosiloxane membrane can become clogged after prolonged operation due to the accumulation of oily components. At this point, the laser particle size analyzer in the anti-clogging submodule 1013 detects that the particle concentration difference on both sides of the membrane exceeds a preset threshold and triggers an alarm. Upon receiving the alarm, the data analysis module 105 immediately activates the pulse backflush unit and ultrasonic unit to clean the membrane. After cleaning, particulate matter on the membrane surface is effectively removed, and the membrane's permeability and separation efficiency are restored, thereby ensuring the accuracy and reliability of oil and gas field logging.

[0044] In some embodiments, the data analysis module 105 is configured to: Receive particle size concentration difference; If the particle size concentration difference is greater than the preset threshold, a blockage alarm is generated.

[0045] Specifically, data analysis module 105 assesses the contamination status of the ceramic-polyorganosiloxane membrane in real time by acquiring the particle size concentration difference on both sides of the membrane as monitored by a laser particle size analyzer. When the detected particle size concentration difference exceeds a preset threshold (for example, a 35% difference in particle size concentration compared to a 30% threshold), the membrane surface or pores are deemed significantly clogged. A blockage alarm is generated and sent to data analysis module 105 via data transmission module 104. This provides a timely warning of the early stages of membrane blockage, preventing interruptions in gas measurement data due to a sudden drop in degassing efficiency. Simultaneously, a pulse backflush or ultrasonic cleaning process is triggered, enabling automated response and resolution of blockage risks.

[0046] In some embodiments, as Figure 3As shown, the environmental data detection module 102 includes: a temperature sensor 1021, a vibration viscometer 1022 and a pressure sensor 1023; The temperature sensor 1021 is used to detect the temperature parameters in the gas logging.

[0047] The vibration viscometer 1022 is used to detect the viscosity of drilling fluid.

[0048] The pressure sensor 1023 is used to detect downhole pressure parameters in gas logging.

[0049] Increasing temperature increases the kinetic energy of gas molecules, increasing their permeation rate through the ceramic-polyorganosiloxane membrane. However, high temperatures can cause the membrane to expand, reducing permeability. Furthermore, temperature can affect the state of the gas. For example, high temperatures can cause heavy hydrocarbons to convert from gas to liquid, making them undetectable. Low temperatures can increase the viscosity of the drilling fluid, increasing flow resistance.

[0050] Therefore, it is necessary to collect the temperature of the drilling fluid through the temperature sensor 1021 and use the adaptive compensation algorithm to correct the detection error caused by temperature changes. For example, for every 10°C change in the drilling fluid temperature, the methane detection value fluctuates by 5%-10%.

[0051] The vibrating viscometer 1022 consists of a vibrating rod, a drive motor, and a torque sensor. During operation, the drive motor drives the vibrating rod at a fixed frequency, causing it to vibrate in simple harmonic vibration within the drilling fluid. Higher drilling fluid viscosity increases the damping force on the vibrating rod, leading to a more pronounced attenuation of the vibration amplitude detected by the torque sensor.

[0052] When high-viscosity drilling fluid comes into contact with a ceramic-polyorganosiloxane membrane, a retention layer forms on the membrane's surface, increasing gas diffusion resistance. Therefore, by installing a vibrating viscometer 1022, on the one hand, drilling fluid viscosity can be measured, thereby controlling the carrier gas flow rate, increasing the shear rate of the fluid on the ceramic-polyorganosiloxane membrane surface, and improving permeability. Furthermore, an adaptive compensation algorithm can be used to correct the viscosity of the drilling fluid measured by the vibrating viscometer 1022, compensating for measurement errors caused by viscosity.

[0053] Because gas solubility in liquids varies at different pressures, high pressure increases its solubility in drilling fluids, reducing free gas and the permeability of the ceramic-polyorganosiloxane membrane. By acquiring downhole pressure parameters and using an adaptive compensation algorithm to calculate the gas-liquid equilibrium, the system compensates for detection errors caused by solubility changes. For example, if downhole pressure increases from 10 MPa to 50 MPa, the monitored gas concentration will be 10%-20% lower than the actual gas concentration.

[0054] It is understandable that the pressure sensor 1023 mainly uses the piezoresistive effect caused by the pressure deformation of the silicon diaphragm to measure the resistance change through a Wheatstone bridge and then convert it into a pressure value.

[0055] In an embodiment of the present invention, the temperature parameter in the gas logging is detected by the temperature sensor 1021, the vibration viscometer 1022 detects the viscosity of the drilling fluid, and the pressure sensor 1023 detects the downhole pressure parameter in the gas logging. The temperature parameter, drilling fluid viscosity, and downhole pressure parameter are used as input variables of the adaptive compensation algorithm. Through multi-dimensional parameter coupling analysis, accurate compensation of detection errors is achieved.

[0056] In some embodiments, as Figure 4 As shown, the in-situ gas analysis module 103 includes a multi-dimensional detection submodule; the multi-dimensional detection submodule is provided with a micro infrared spectrometer 1031, a micro gas chromatograph 1032 and an electrochemical sensor 1033; The micro-infrared spectrometer 1031 is configured to detect 、 、 Gas concentration data.

[0057] The micro gas chromatograph 1032 is configured to detect Gas concentrations of hydrocarbons and benzene series.

[0058] The electrochemical sensor 1033 is configured to detect 、 gas concentration.

[0059] Specifically, the working principle of the micro infrared spectrometer 1031 is based on the absorption characteristics of infrared light by different gas molecules. When infrared light passes through a gas sample, light of a specific wavelength will be absorbed by the gas molecules, forming a specific absorption spectrum. By analyzing these spectral characteristics, the micro infrared spectrometer 1031 can accurately measure 、 as well as The concentration of the gas.

[0060] The micro gas chromatograph 1032 uses the differences in the distribution coefficients of different gases between the stationary and mobile phases for separation and detection. When the sample gas is injected into the chromatographic column, the components repeatedly partition between the stationary and mobile phases. Due to the differences in the distribution coefficients, the components move at different speeds within the column, thus achieving separation. By monitoring the elution time and peak area of ​​each component, the micro gas chromatograph 1032 can accurately measure the gas concentrations of C1 to C8 hydrocarbons and benzene series.

[0061] The electrochemical sensor 1033 detects gas concentration by generating electrical signals through chemical reactions. and For toxic and harmful gases such as CO2, the electrochemical sensor 1033 can respond quickly and generate an electrical signal proportional to the gas concentration.

[0062] The micro-infrared spectrometer 1031 excels at measuring the concentrations of common hydrocarbons and gases such as carbon dioxide; the micro-gas chromatograph 1032 is capable of separating and detecting more complex hydrocarbon mixtures; and the electrochemical sensor 1033 focuses on monitoring the concentrations of toxic and hazardous gases. By integrating the detection data from these three instruments, comprehensive and accurate analysis of downhole gas composition can be achieved, providing strong technical support for oil and gas field development.

[0063] In some embodiments, the in-situ gas analysis module 103 further includes an automatic sampling switching unit 1034 ; the automatic sampling switching unit 1034 is configured to switch the sampling paths of the micro infrared spectrometer 1031 and the micro gas chromatograph 1032 at a second preset time interval.

[0064] The automatic sample switching unit 1034 can be a six-way valve, whose two outlets are connected to the sample inlets of the micro-infrared spectrometer 1031 and the micro-gas chromatograph 1032, respectively. During a first preset time interval, the six-way valve directs the sample gas into the micro-infrared spectrometer 1031 for analysis. During a second preset time interval, the six-way valve switches paths and directs the sample gas into the micro-gas chromatograph 1032 for analysis. In this way, the in-situ gas analysis module 103 can automatically and alternately perform infrared spectroscopy and gas chromatography analysis on gas samples, improving analysis efficiency and accuracy.

[0065] In some embodiments, the in-situ gas analysis module 103 further includes a data acquisition submodule 1035 ; The data acquisition submodule 1035 is configured to: The temperature parameter detected by the temperature sensor 1021 is received.

[0066] The drilling fluid viscosity detected by the vibration viscometer 1022 is received.

[0067] Receive the downhole pressure parameter detected by the pressure sensor 1023.

[0068] The data acquisition submodule 1035 can quickly integrate information from various sensors and transmit it to the in-situ gas analysis module 103. The in-situ gas analysis module 103 corrects the gas concentration based on the temperature parameters, drilling fluid viscosity and downhole pressure parameters collected by the data acquisition submodule 1035.

[0069] In some embodiments, the in-situ gas analysis module 103 further includes a data correction submodule; The data correction submodule is configured as follows: The triple standard deviation criterion was used to filter outliers in temperature parameters, drilling fluid viscosity and downhole pressure parameters to obtain preprocessed data.

[0070] Normalization is used to preprocess the data to obtain standard data.

[0071] The parameter change rate and cumulative value of the standard data are extracted to obtain the parameter vector.

[0072] Input the parameter vector to the long short-term memory network, capture the nonlinear relationship between the parameter vectors through multiple hidden layers, and output the deviation compensation value.

[0073] The data correction module uses the triple standard deviation criterion to filter outliers in temperature, drilling fluid viscosity, and downhole pressure. Specifically, for each parameter, the module first calculates its mean and standard deviation, then compares all data points to the mean. Any data point with a deviation exceeding three standard deviations is considered an outlier and removed. By applying the triple standard deviation criterion to the data, a relatively accurate and stable set of preprocessed data is obtained.

[0074] Normalize the preprocessed data. Normalization converts data of different scales or dimensions to the same scale or dimension, facilitating subsequent data processing and analysis. In this example, the data correction module uses either min-max normalization or Z-score normalization to convert the preprocessed data to the range of [0, 1] or [-1, 1] to obtain standardized data.

[0075] The data correction module then extracts the parameter change rate and cumulative value of the standard data to construct a parameter vector. The parameter change rate reflects the data's changing trend over time, while the cumulative value reflects the data's cumulative effect. By extracting these two features, the data correction module can more comprehensively capture the dynamic characteristics of the data.

[0076] Finally, the data correction module inputs the parameter vector into the Long Short-Term Memory (LSTM) network. This is a special type of recurrent neural network that captures the nonlinear relationships between parameter vectors through multiple hidden layers. During training, the LSTM network learns how to extract useful information from the parameter vector and output accurate bias compensation values.

[0077] Through the above steps, the data correction submodule can achieve accurate correction of temperature parameters, drilling fluid viscosity and downhole pressure parameters, thereby improving the accuracy and reliability of gas concentration measurement.

[0078] After obtaining the deviation compensation value, the gas concentration data can be corrected. The correction process is based on the difference between the deviation compensation value and the original gas concentration data. Specifically, the data correction submodule adds the deviation compensation value to the original gas concentration data to eliminate errors caused by factors such as temperature, drilling fluid viscosity, and downhole pressure. This significantly improves the accuracy and stability of gas concentration measurements, providing more accurate data support for oil and gas field exploration and development.

[0079] In some embodiments, see again Figure 1 The onshore oil and gas field gas logging system based on semipermeable membrane continuous degassing also includes a power supply module 106, which provides power to the environmental data detection module 102, the in-situ gas analysis module 103, and the data transmission module 104. For example, the power supply can be configured with photovoltaic cells and thermoelectric panels to generate electricity using solar energy and waste heat from drilling fluid. An energy storage module is also configured to store the electricity converted from solar and thermal energy.

[0080] In some embodiments, the data analysis module 105 is further configured to: like The gas concentration, The gas concentration, If the concentration of any gas in the gas is greater than the preset gas concentration, an abnormal concentration alarm is generated.

[0081] When the data analysis module 105 detects 、 or When the gas concentration is abnormal, the data analysis module 105 will automatically trigger the alarm mechanism. For example, in the oil and gas field gas logging operation, the preset The safe concentration is 5ppm. The safe concentration is 1000ppm, and The safe concentration is 25ppm. The concentration reaches 6ppm, or The concentration reaches 1200ppm, or When the concentration reaches 30ppm, since these values ​​exceed the preset safety threshold, the data analysis module 105 will immediately generate an abnormal concentration alarm. This alarm information will promptly notify the operator, reminding them to pay attention to potential safety risks and take appropriate measures to ensure the safe operation.

[0082] By setting the abnormal concentration alarm function, the data analysis module 105 can monitor the concentration of key gases in real time and accurately, and issue an alarm in time when an abnormality occurs, thereby improving the safety and reliability of gas logging operations in oil and gas fields.

[0083] As can be seen from the above technical solutions, the present invention provides a land oil and gas field gas logging system based on semipermeable membrane continuous degassing, comprising: a non-driving force semipermeable membrane degassing module 101, an environmental data detection module 102, an in-situ gas analysis module 103, a data transmission module 104 and a data analysis module 105; the non-driving force semipermeable membrane degassing module 101, the environmental data detection module 102 and the in-situ gas analysis module 103 are arranged in the gas logging system; the in-situ gas analysis module 103 is configured to: receive the data transmitted by the non-driving force semipermeable membrane degassing module 101 through gas-liquid permeation; The light hydrocarbon gas in the drilling fluid is separated and the light hydrocarbon gas is analyzed as a component to obtain gas concentration data; the drilling fluid viscosity, temperature parameters and downhole pressure parameters collected by the environmental data detection module 102 are received; the drilling fluid viscosity, temperature parameters and downhole pressure parameters are input to the adaptive compensation algorithm, and a deviation compensation value is output; the gas concentration data is corrected by the deviation compensation value; the gas concentration data is sent to the data transmission module 104; the data analysis module 105 is configured to receive the gas concentration data transmitted by the data transmission module 104 and generate a gas concentration curve. The onshore oil and gas field gas logging system based on semipermeable membrane inline degassing provided by the present invention incorporates a no-driving-force semipermeable membrane degassing module 101, an environmental data detection module 102, and an in-situ gas analysis module 103 within the gas logging system. The no-driving-force semipermeable membrane degassing module 101 is used to achieve in-line degassing. The in-situ gas analysis module 103 receives the light hydrocarbon gas separated by the no-driving-force semipermeable membrane degassing module 101 and performs real-time analysis, reducing detection delays. The in-situ gas analysis module 103 corrects gas concentration data based on data collected by the environmental data detection module 102 and transmits the gas concentration data to the data analysis module 105 via the data transmission module 104. This system overcomes the drawbacks of low degassing efficiency and detection delays in the prior art.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A land oil and gas field gas logging system based on continuous degassing of semi-permeable membranes, characterized in that: include: Non-driving force semipermeable membrane degassing module, environmental data detection module, in-situ gas analysis module, data transmission module and data analysis module; The non-driving force semi-permeable membrane degassing module, the environmental data detection module and the in-situ gas analysis module are arranged in the gas logging; The in-situ gas analysis module is configured to: receiving the light hydrocarbon gas in the drilling fluid separated by the non-driving force semipermeable membrane degassing module through gas-liquid osmosis, and performing component analysis on the light hydrocarbon gas to obtain gas concentration data; receiving drilling fluid viscosity, temperature parameters and downhole pressure parameters collected by the environmental data detection module; Inputting the drilling fluid viscosity, the temperature parameter, and the downhole pressure parameter into an adaptive compensation algorithm, and outputting a deviation compensation value; Correcting the gas concentration data using the deviation compensation value; sending the gas concentration data to the data transmission module; The data analysis module is configured to receive the gas concentration data transmitted by the data transmission module and generate a gas concentration curve.

2. The land oil and gas field gas logging system based on semipermeable membrane continuous degassing according to claim 1, characterized in that: The non-driving force semipermeable membrane degassing module includes a semipermeable membrane submodule, a carrier gas circulation submodule and an anti-blocking submodule; The semipermeable membrane submodule is provided with a ceramic-polyorganosiloxane membrane, the outer layer of the ceramic-polyorganosiloxane membrane is a modified polyorganosiloxane membrane separation layer, and the inner layer of the ceramic-polyorganosiloxane membrane is a ceramic support layer; A nano-oleophobic layer is attached to the surface of the modified polyorganosiloxane membrane separation layer; The carrier gas circulation submodule is configured to use air or an inert gas as a carrier gas and drive gas enrichment through the concentration difference on both sides of the ceramic-polyorganosiloxane membrane; The anti-clogging submodule is provided with a pulse backflush unit, an ultrasonic unit and a laser particle size analyzer; The pulse blowback unit and the ultrasonic unit are both configured to be activated at a first preset time interval for a preset time; The laser particle size analyzer is configured to detect a particle concentration difference on both sides of the ceramic-polyorganosiloxane membrane and send the particle concentration difference to the data analysis module.

3. The land oil and gas field gas logging system based on semipermeable membrane continuous degassing according to claim 2, characterized in that: The data analysis module is configured to: receiving the particle size concentration difference; If the particle size concentration difference is greater than a preset threshold, a blockage alarm is generated.

4. The land oil and gas field gas logging system based on semipermeable membrane continuous degassing according to claim 1, characterized in that: The environmental data detection module includes: a temperature sensor, a vibration viscometer and a pressure sensor; The temperature sensor is used to detect the temperature parameters in the gas logging; The vibration viscometer is used to detect the viscosity of drilling fluid; The pressure sensor is used to detect downhole pressure parameters in gas logging.

5. The land oil and gas field gas logging system based on semi-permeable membrane continuous degassing according to claim 1, characterized in that: The in-situ gas analysis module includes a multi-dimensional detection submodule; The multi-dimensional detection submodule is provided with a micro infrared spectrometer, a micro gas chromatograph and an electrochemical sensor; The micro infrared spectrometer is configured to detect 、 、 Gas concentration data; The micro gas chromatograph is configured to detect Gas concentrations of hydrocarbons and benzene series; The electrochemical sensor is configured to detect 、 gas concentration.

6. The land oil and gas field gas logging system based on semi-permeable membrane continuous degassing according to claim 5, characterized in that: The in-situ gas analysis module also includes an automatic sampling switching unit; The automatic injection switching unit is configured to switch the injection paths of the micro infrared spectrometer and the micro gas chromatograph at a second preset time interval.

7. The land oil and gas field gas logging system based on semipermeable membrane continuous degassing according to claim 4, characterized in that: The in-situ gas analysis module also includes a data acquisition submodule; The data acquisition submodule is configured as follows: receiving a temperature parameter detected by the temperature sensor; receiving the drilling fluid viscosity detected by the vibration viscometer; Receive the downhole pressure parameter detected by the pressure sensor.

8. The land oilfield gas logging system based on semipermeable membrane continuous degassing according to claim 1, characterized in that: The in-situ gas analysis module also includes a data correction submodule; The data syndrome submodule is configured as follows: Using a triple standard deviation criterion to filter out abnormal values ​​in the temperature parameter, the drilling fluid viscosity, and the downhole pressure parameter to obtain preprocessed data; Normalizing the preprocessed data to obtain standard data; Extracting the parameter change rate and cumulative value of the standard data to obtain a parameter vector; The parameter vector is input into the long short-term memory network, the nonlinear relationship between the parameter vectors is captured through multiple hidden layers, and the deviation compensation value is output.

9. The land oil and gas field gas logging system based on semi-permeable membrane continuous degassing according to claim 1, characterized in that: It also includes a power supply module; the power supply module supplies power to the environmental data detection module, the in-situ gas analysis module and the data transmission module respectively.

10. The land oil and gas field gas logging system based on semi-permeable membrane continuous degassing according to claim 2, characterized in that: The data analysis module is also configured to: If the The gas concentration, The gas concentration, If the concentration of any gas in the gas is greater than the preset gas concentration, an abnormal concentration alarm is generated.

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