Quality inspection and correction method of well logging physical property curves for multi-stage sedimentary reservoirs in deepwater gas fields

Abstract

The present invention relates to the technical field of oil and gas exploration and development, and provides a method for quality inspection and correction of well logging property curves for multi-stage sedimentary reservoirs in deepwater gas fields, comprising: measuring the downhole water depth of each well point; calculating the true burial depth of each stage sedimentary reservoir at each well point from the seabed based on the downhole water depth; obtaining density, neutron, and acoustic response characteristic values ​​for each well point in the deepwater gas field at each stage sedimentary reservoir; establishing, based on the density, neutron, and acoustic response characteristic values, a relationship model between the density, neutron, and acoustic well logging property curves and the true burial depth of each stage sedimentary reservoir at each well point in the deepwater gas field; combining the true burial depth of each stage sedimentary reservoir at a new drilling point, translating the well logging property curve of the new drilling point according to the relationship model corresponding to the new drilling point, thereby determining a corresponding correction amount, and correcting the quality of the well logging property curve of the new drilling well. The present invention achieves accurate correction of well logging property curves for deepwater gas fields with large water depth differences and multi-stage sedimentary reservoirs.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas exploration and development, and in particular to a method for quality inspection and correction of well logging physical property curves of multi-stage sedimentary reservoirs in deepwater gas fields. Background Art

[0002] The water depth of a deepwater gas field in a certain offshore area ranges from 1000m to 1600m, with significant depth variation. Furthermore, due to tectonic events, the early upper sedimentary strata were weathered and eroded, and later, as the basin subsided, the field continued to receive sedimentary clastic rocks from the basin sag, resulting in the formation of two stable mudstones, A and B, deposited at different times and with significantly different burial depths (i.e., two-stage sedimentary reservoirs), at the center of the gas field sag. Due to the influence of wellpoint water depths and mudstone burial depths, well logging physical property curves (logging density, logging neutrons, and logging acoustic waves) vary significantly between wellpoints and different mudstones. These discrepancies may reflect genuine geological factors or be caused by measurement errors. Substandard well logging curves can directly lead to significant errors in porosity and gas saturation, key parameters for reserve evaluation, necessitating quality inspection and correction of well logging curves.

[0003] At present, the industry mainly uses the histogram method to check and correct the quality of well logging curves. The specific approach is to select a well with relatively complete data in the region as a key well and other wells as non-key wells. Then, the characteristic values ​​of the well logging curves of the stable distribution of mudstone in the key well and non-key wells are obtained respectively. Finally, based on the difference between the characteristic values ​​of the non-key well and the key well, the same correction amount is added to the well logging curve of a non-key well (the entire well section) to obtain the corrected well logging curve. This method uses a fixed correction amount for the entire well section of the same well, and the standard value used for correction of different wells is fixed (i.e., corrected to the characteristic value corresponding to the key well). The effects of water depth, burial depth, and depositional period are not considered. The differences between geological factors and actual measurements on the well logging curve are often eliminated in a general way, resulting in excessive correction of the well logging physical property curves, which in turn causes large errors in reservoir porosity evaluation and cannot meet the needs of deepwater gas field reserve evaluation and gas field development. Summary of the Invention

[0004] The purpose of the present invention is to solve at least one technical problem in the background technology and provide a method for quality inspection and correction of well logging physical property curves of multi-stage sedimentary reservoirs in deepwater gas fields.

[0005] To achieve the above-mentioned object, the present invention provides a method for quality inspection and correction of well logging physical property curves of multi-stage sedimentary reservoirs in deepwater gas fields, comprising:

[0006] Measure the water depth at each well point;

[0007] Calculate the actual buried depth of each sedimentary reservoir at each well point from the seabed based on the downhole water depth;

[0008] Obtain the response characteristic values ​​of well logging density, well logging neutron and well logging acoustic wave for each well point in the deepwater gas field at each sedimentary reservoir stage;

[0009] Based on the response characteristic values ​​of well logging density, well logging neutron, and well logging acoustic waves, the relationship model between the well logging density, well logging neutron, and well logging acoustic wave physical property curves and the true burial depth of each sedimentary reservoir at each well point in the deepwater gas field was established.

[0010] Combined with the actual burial depth of the sedimentary reservoirs in each period of the new drilling point, the quality of the logging property curve of the new drilling point is checked according to the relationship model corresponding to the new drilling point. If the data points of the logging property curve fall on the trend line of the relationship model, it means that the quality of the logging property curve is reliable and no correction is required; otherwise, the data points need to be translated to the trend line of the relationship model to obtain the correction amount, and the quality of the logging property curve of the new drilling point is corrected according to the correction amount.

[0011] According to one aspect of the present invention, the downhole water depth of each well point is measured as follows:

[0012] Using an echo sounder, the time interval T from the emission of the logging sound wave to the detector receiving the logging sound wave reflected from the seabed is recorded to obtain the downhole water depth H1 of each well point, H1 = 1500*T / 2.

[0013] According to one aspect of the present invention, the actual buried depth of each sedimentary reservoir at each well point from the seabed is calculated based on the downhole water depth as follows:

[0014] Record the logging depth H of each well point and each period of sedimentary reservoir encountered by the well A and the core filling height H2, subtracting the water depth and the core filling height to obtain the true buried depth H of each period of sedimentary reservoir at each well point from the seabed, H = H A -H1-H2.

[0015] According to one aspect of the present invention, the response characteristic values ​​of logging density, logging neutrons, and logging acoustic waves at each well point in the deepwater gas field at each sedimentary reservoir are obtained as follows:

[0016] Draw histograms of logging density, logging neutrons, and logging acoustic waves for each sedimentary reservoir at each well point in the deepwater gas field, and read the histogram peaks as the response characteristic values ​​of logging density, logging neutrons, and logging acoustic waves for each sedimentary reservoir at each well point.

[0017] According to one aspect of the present invention, based on the response characteristic values ​​of well logging density, well logging neutron, and well logging acoustic wave, the relationship model between the well logging density, well logging neutron, and well logging acoustic wave physical property curves and the actual burial depth of each sedimentary reservoir at each well point in the deepwater gas field is established as follows:

[0018] Based on the response characteristic values ​​of logging density, logging neutron, and logging acoustic waves of the sedimentary reservoirs of each period at all well points, cross-plots of the response characteristic values ​​of logging density, logging neutron, and logging acoustic waves with the true burial depth of the sedimentary reservoirs of each period were drawn, and a regression model was obtained to obtain the relationship model between the response values ​​of the logging physical property curves of the sedimentary reservoirs of each period and the true burial depth.

[0019] To achieve the above-mentioned object, the present invention further provides a system for quality inspection and correction of well logging physical property curves of multi-stage sedimentary reservoirs in deepwater gas fields, comprising:

[0020] Downhole water depth measurement module, measuring the downhole water depth of each well point;

[0021] A true burial depth calculation module calculates the true burial depth of each sedimentary reservoir at each well point from the seabed based on the downhole water depth;

[0022] The response characteristic value acquisition module obtains the response characteristic values ​​of logging density, logging neutron and logging acoustic wave at each well point in the deepwater gas field at each sedimentary reservoir stage;

[0023] The relationship model building module establishes the relationship model between the logging density, logging neutron, and logging acoustic wave logging physical property curves and the actual burial depth of each sedimentary reservoir at each well point in the deepwater gas field based on the response characteristic values ​​of logging density, logging neutron, and logging acoustic wave;

[0024] The well logging property curve inspection and correction module combines the actual burial depth of the sedimentary reservoirs of each period at the new drilling point and performs a quality inspection on the well logging property curve of the new drilling point according to the relationship model corresponding to the new drilling point. If the data points of the well logging property curve fall on the trend line of the relationship model, it means that the quality of the well logging property curve is reliable and no correction is required; otherwise, the data points need to be translated to the trend line of the relationship model to obtain the correction amount, and the quality of the well logging property curve of the new drilling point is corrected according to the correction amount.

[0025] To achieve the above-mentioned purpose, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored in the memory and capable of running on the processor. When the computer program is executed by the processor, the above-mentioned method for quality inspection and correction of multi-stage sedimentary reservoir logging physical property curves in deepwater gas fields is implemented.

[0026] To achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned method for quality inspection and correction of multi-stage sedimentary reservoir logging physical property curves in deepwater gas fields is implemented.

[0027] According to the present invention, the method can effectively eliminate systematic errors in physical property curve measurement caused by different wellbore environments and different logging instruments, in addition to geological factors. This significantly improves the accuracy of physical property curve measurement in multi-stage sedimentary reservoir logging in deepwater gas fields. In particular, it is highly adaptable for the quality inspection and correction of well logging curves for reservoirs with large differences in water depth and burial depth. It provides key and reliable porosity parameters for gas field exploration and reserve evaluation, playing an important role in gas field exploration and development. The present invention overcomes the shortcomings of traditional methods in the quality inspection and correction of well logging physical property curves, achieving accurate and efficient standardization of well logging physical property curves for deepwater gas fields with large differences in water depth, large structural amplitude changes, and multi-stage sedimentary reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A flow chart schematically illustrates a method for quality inspection and correction of multi-stage sedimentary reservoir logging physical property curves in a deepwater gas field according to one embodiment of the present invention;

[0029] Figure 2 This is a relationship diagram between the well logging density and the true burial depth of stable mudstones A and B in Example 1.

[0030] Figure 3 This is a relationship diagram between the well logging neutron and the true burial depth of stable mudstones A and B in Example 1.

[0031] Figure 4 This is a relationship diagram between the logging acoustic wave and the true burial depth of stable mudstones A and B in Example 1. DETAILED DESCRIPTION

[0032] The present invention will now be discussed with reference to exemplary embodiments. It should be understood that the embodiments discussed are only for enabling those skilled in the art to better understand and implement the present invention, rather than implying any limitation on the scope of the present invention.

[0033] As used herein, the term "including" and variations thereof are to be interpreted as open-ended terms meaning "including, but not limited to." The term "based on" is to be interpreted as "based, at least in part, on." The terms "one embodiment" and "an embodiment" are to be interpreted as "at least one embodiment."

[0034] Figure 1 The flowchart schematically shows a method for quality inspection and correction of multi-stage sedimentary reservoir logging physical property curves in a deepwater gas field according to an embodiment of the present invention. Figure 1 As shown, in this embodiment, the method for quality inspection and correction of multi-stage sedimentary reservoir logging physical property curves in deepwater gas fields includes:

[0035] Measure the water depth at each well point;

[0036] Calculate the actual depth of each well point and each period of sedimentary reservoir from the seabed based on the downhole water depth;

[0037] Obtain the response characteristic values ​​of well logging density, well logging neutron and well logging acoustic wave for each well point in the deepwater gas field at each sedimentary reservoir stage;

[0038] Based on the response characteristic values ​​of well logging density, well logging neutron, and well logging acoustic waves, the relationship model between the well logging density, well logging neutron, and well logging acoustic wave physical property curves and the true burial depth of each sedimentary reservoir at each well point in the deepwater gas field was established.

[0039] Based on the actual burial depth of the sedimentary reservoir at each period of the new drilling point, the quality of the well logging property curve at the new drilling point is checked according to the relationship model corresponding to the new drilling point. If the data points of the well logging property curve fall on the trend line of the relationship model, the well logging property curve quality is reliable and no correction is required. Otherwise, the data points need to be translated to the trend line of the relationship model to obtain a correction amount, and the well logging property curve quality of the new drilling point is corrected according to the correction amount. (That is, the new drilling property data points are projected onto the corresponding model plate according to the deposition period. If the data points fall on the trend line of the relationship model, the well logging property curve quality is reliable and no correction is required. Otherwise, the data points need to be translated to the trend line of the relationship model. The translation amount is the correction amount, and the well logging property curve quality of the new drilling point is corrected according to the correction amount.)

[0040] Furthermore, according to one embodiment of the present invention, the downhole water depth of each well point is measured as:

[0041] Using an echo sounder, the time interval T from the emission of the logging sound wave to the detector receiving the logging sound wave reflected from the seabed is recorded to obtain the downhole water depth H1 of each well point, H1 = 1500*T / 2.

[0042] Furthermore, according to one embodiment of the present invention, the actual burial depth of each sedimentary reservoir at each well point from the seabed is calculated based on the downhole water depth as follows:

[0043] Record the logging depth H of each well point and each period of sedimentary reservoir encountered by the well A and the core filling height H2, subtracting the water depth and the core filling height to obtain the true buried depth H of each period of sedimentary reservoir at each well point from the seabed, H = H A -H1-H2.

[0044] Furthermore, according to one embodiment of the present invention, the response characteristic values ​​of the well logging density, well logging neutron, and well logging acoustic wave of each well point in the deepwater gas field at each sedimentary reservoir are obtained as follows:

[0045] Draw histograms of well logging density, well logging neutrons, and well logging acoustic waves for each period of sedimentary reservoir at each well point in the deepwater gas field. The histogram peaks are read as characteristic values ​​of the response of the well logging density, well logging neutrons, and well logging acoustic waves for each period of sedimentary reservoir at each well point. (For example, a known histogram method can be used to set data distribution intervals, perform statistical analysis on the data samples in each interval, and construct a histogram. The value with the highest peak value is the characteristic value.)

[0046] Furthermore, according to one embodiment of the present invention, based on the response characteristic values ​​of well logging density, well logging neutron, and well logging acoustic waves, the relationship model between the well logging density, well logging neutron, and well logging acoustic wave physical property curves and the true burial depth of each sedimentary reservoir at each well point in the deepwater gas field is established as follows:

[0047] Based on the response characteristic values ​​of logging density, logging neutron, and logging acoustic waves of the sedimentary reservoirs of each period at all well points, cross-plots of the response characteristic values ​​of logging density, logging neutron, and logging acoustic waves with the true burial depth of the sedimentary reservoirs of each period were drawn, and a regression model was obtained to obtain the relationship model between the response values ​​of the logging physical property curves of the sedimentary reservoirs of each period and the true burial depth.

[0048] According to the above-mentioned scheme of the present invention, the present invention can effectively eliminate the systematic errors caused by different wellbore environments, different logging instruments, and other factors other than geological factors in the measurement of physical property curves, significantly improving the accuracy of physical property curve measurements in multi-stage sedimentary reservoirs in deepwater gas fields. In particular, the system has strong adaptability for the quality inspection and correction of well logging curves for reservoirs with large differences in water depth and burial depth, providing key and reliable porosity parameters for gas field exploration and reserve evaluation, playing an important role in gas field exploration and development. The present invention overcomes the shortcomings of traditional schemes in the quality inspection and correction of well logging physical property curves, achieving accurate and efficient standardization of well logging physical property curves for deepwater gas fields with large differences in water depth, large structural amplitude changes, and multi-stage sedimentary reservoirs.

[0049] Furthermore, to achieve the above-mentioned purpose, the present invention also provides a system for quality inspection and correction of well logging physical property curves of multi-stage sedimentary reservoirs in deepwater gas fields, which is characterized by comprising:

[0050] Downhole water depth measurement module, measuring the downhole water depth of each well point;

[0051] A true burial depth calculation module calculates the true burial depth of each sedimentary reservoir at each well point from the seabed based on the downhole water depth;

[0052] The response characteristic value acquisition module obtains the response characteristic values ​​of logging density, logging neutron and logging acoustic wave at each well point in the deepwater gas field at each sedimentary reservoir stage;

[0053] The relationship model building module establishes the relationship model between the logging density, logging neutron, and logging acoustic wave logging physical property curves and the actual burial depth of each sedimentary reservoir at each well point in the deepwater gas field based on the response characteristic values ​​of logging density, logging neutron, and logging acoustic wave;

[0054] The well logging property curve inspection and correction module combines the actual burial depth of the sedimentary reservoirs of each period at the new drilling point and performs a quality inspection on the well logging property curve of the new drilling point according to the relationship model corresponding to the new drilling point. If the data points of the well logging property curve fall on the trend line of the relationship model, it means that the quality of the well logging property curve is reliable and no correction is required; otherwise, the data points need to be translated to the trend line of the relationship model to obtain the correction amount, and the quality of the well logging property curve of the new drilling point is corrected according to the correction amount.

[0055] Furthermore, according to one embodiment of the present invention, the downhole water depth of each well point is measured as:

[0056] Using an echo sounder, the time interval T from the emission of the logging sound wave to the detector receiving the logging sound wave reflected from the seabed is recorded to obtain the downhole water depth H1 of each well point, H1 = 1500*T / 2.

[0057] Furthermore, according to one embodiment of the present invention, the actual burial depth of each sedimentary reservoir at each well point from the seabed is calculated based on the downhole water depth as follows:

[0058] Record the logging depth H of each well point and each period of sedimentary reservoir encountered by the well A and the core filling height H2, subtracting the water depth and the core filling height to obtain the true buried depth H of each period of sedimentary reservoir at each well point from the seabed, H = H A -H1-H2.

[0059] Furthermore, according to one embodiment of the present invention, the response characteristic values ​​of the well logging density, well logging neutron, and well logging acoustic wave of each well point in the deepwater gas field at each sedimentary reservoir are obtained as follows:

[0060] Draw histograms of logging density, logging neutrons, and logging acoustic waves for each sedimentary reservoir at each well point in the deepwater gas field, and read the histogram peaks as the response characteristic values ​​of logging density, logging neutrons, and logging acoustic waves for each sedimentary reservoir at each well point.

[0061] Furthermore, according to one embodiment of the present invention, based on the response characteristic values ​​of well logging density, well logging neutron, and well logging acoustic waves, the relationship model between the well logging density, well logging neutron, and well logging acoustic wave physical property curves and the true burial depth of each sedimentary reservoir at each well point in the deepwater gas field is established as follows:

[0062] Based on the response characteristic values ​​of logging density, logging neutron, and logging acoustic waves of the sedimentary reservoirs of each period at all well points, cross-plots of the response characteristic values ​​of logging density, logging neutron, and logging acoustic waves with the true burial depth of the sedimentary reservoirs of each period were drawn, and a regression model was obtained to obtain the relationship model between the response values ​​of the logging physical property curves of the sedimentary reservoirs of each period and the true burial depth.

[0063] According to the above-mentioned scheme of the present invention, the present invention can effectively eliminate the systematic errors caused by different wellbore environments, different logging instruments, and other factors other than geological factors in the measurement of physical property curves, significantly improving the accuracy of physical property curve measurements in multi-stage sedimentary reservoirs in deepwater gas fields. In particular, the system has strong adaptability for the quality inspection and correction of well logging curves for reservoirs with large differences in water depth and burial depth, providing key and reliable porosity parameters for gas field exploration and reserve evaluation, and playing an important role in gas field exploration and development. The present invention overcomes the shortcomings of traditional schemes in the quality inspection and correction of well logging physical property curves, achieving accurate, efficient and standardized correction of well logging physical property curves for deepwater gas fields with large water depth differences, large structural amplitude changes, and multi-stage sedimentary reservoirs.

[0064] Furthermore, to achieve the above-mentioned purpose, the present invention also provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and runnable on the processor. When the computer program is executed by the processor, the above-mentioned method for quality inspection and correction of multi-period sedimentary reservoir logging physical property curves in deepwater gas fields is implemented.

[0065] Furthermore, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned method for inspecting and correcting the quality of multi-stage sedimentary reservoir logging physical property curves in deepwater gas fields is implemented.

[0066] Based on the above solution of the present invention, the solution of the present invention is described in detail below in the form of a specific embodiment in conjunction with the accompanying drawings.

[0067] Example 1

[0068] Taking the quality inspection and correction of two sets of well logging physical property curves of stable mudstones A and B (i.e., two phases of sedimentary reservoirs) in Well XX-1 after core calibration as an example, the specific steps are as follows:

[0069] Step 1: Measure the water depth at each well point: Use an echo sounder to record the time interval T = 1.93s from the emission of the logging sound wave to the detector receiving the logging sound wave reflected from the seabed, and calculate the water depth at each well point H1 = 1500*T / 2 = 1447.5m;

[0070] Step 2, calculate the actual buried depth of the reservoir: record the logging depth of the XX-1 well when it encounters the stable mudstone A (the depth from the rotary table surface to the mudstone A) H A= 3299.5m, measure the core height (the height from the turntable surface to the sea level) H2 = 27m, and subtract the water depth and the core height to obtain the true buried depth H of the stable mudstone A at the XX-1 well point from the seabed, H = H A -H1-H2=1825m;

[0071] Step 3, obtaining the logging density, logging neutron, and logging acoustic wave response characteristic values ​​of the stable mudstone A: draw the logging density, logging neutron, and logging acoustic wave histograms of the stable mudstone A at the XX-1 well point, and read the histogram peaks as the logging density, logging neutron, and logging acoustic wave response characteristic values ​​of the stable mudstone A in the well;

[0072] Step 4, repeating steps 2 to 3 to obtain the true buried depth of stable mudstone A at other well points after core calibration and the characteristic values ​​of well logging density, well logging neutron, and well logging acoustic wave response;

[0073] Core calibration involves calibrating the porosity values ​​calculated from the well logging curves based on the formation pressure porosity values ​​of the cores. If the porosity values ​​from the core analysis match the porosity values ​​calculated from the well logging curves, the well logging curves are reliable and free of systematic errors. The purpose of core calibration is to ensure that the acquired log density, log neutron, and log acoustic response characteristic values ​​for stable mudstones A and B are authentic and reliable.

[0074] Step 5, repeating steps 1 to 4, respectively obtaining the true burial depth of the stable mudstone B at all well points and the logging density, logging neutron, and logging acoustic wave response characteristic values;

[0075] Step 6: Establish calibration models for well logging density, well logging neutron, and well logging acoustic wave physical property curves of stable mudstones A and B deposited at different stages: Based on the acquired well logging density, well logging neutron, and well logging acoustic wave response characteristic values ​​of stable mudstones of different sets in all wells, draw intersection diagrams of well logging density, well logging neutron, and well logging acoustic wave response characteristic values ​​with the actual burial depth of stable mudstones (e.g. Figure 2-Figure 4 The relationship model between the response values ​​of different well logging physical property curves of different stable mudstones and the true burial depth was obtained by regression.

[0076] Relationship model between the well logging physical property curve of stable mudstone A and the true burial depth of stable mudstone:

[0077] Well logging density: DEN A =0.0002*H+2.0725

[0078] Logging Neutron: CNL A =-0.0001*H+0.5357

[0079] Well logging sound wave: DT A =-0.0294*H+158.61

[0080] Relationship model between the well logging physical property curve of stable mudstone B and the true burial depth of stable mudstone:

[0081] Well logging density: DEN B =0.0007*H+0.9513

[0082] Logging Neutron: CNL B =-0.0004*H+1.1115

[0083] Well logging sound wave: DT B =-0.0997*H+302.53

[0084] Step 7: Based on the established model of the relationship between the well logging property curve and the true burial depth of the XX gas field, combined with the true burial depth of the stable mudstones A and B of the newly drilled well, the well logging property curve is translated according to the corresponding model to determine the corresponding correction amount, and the quality of the well logging property curve of the newly drilled well is quality controlled and corrected.

[0085] Finally, it should be noted that the above preferred embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail through the above preferred embodiments, those skilled in the art should understand that various changes can be made in form and details without departing from the scope defined by the claims of the present invention.

Claims

1. A method for quality inspection and correction of well logging physical property curves of multi-stage sedimentary reservoirs in deepwater gas fields, characterized in that: include: Measure the water depth at each well point; Calculate the actual buried depth of each sedimentary reservoir at each well point from the seabed based on the downhole water depth; Obtain the response characteristic values ​​of well logging density, well logging neutron and well logging acoustic wave for each well point in the deepwater gas field at each sedimentary reservoir stage; Based on the response characteristic values ​​of well logging density, well logging neutron, and well logging acoustic waves, the relationship model between the well logging density, well logging neutron, and well logging acoustic wave physical property curves and the true burial depth of each sedimentary reservoir at each well point in the deepwater gas field was established. Combined with the actual burial depth of the sedimentary reservoirs of each period at the new drilling point, the quality of the well logging property curve of the new drilling point is checked according to the relationship model corresponding to the new drilling point. If the data points of the well logging property curve fall on the trend line of the relationship model, it means that the quality of the well logging property curve is reliable and no correction is required; otherwise, the data points need to be translated to the trend line of the relationship model to obtain the correction amount, and the quality of the well logging property curve of the new drilling point is corrected according to the correction amount; The water depth of each well point is measured as follows: Use an echo sounder to record the time interval T from the emission of the logging sound wave to the detector receiving the logging sound wave reflected from the seabed to obtain the downhole water depth H1 of each well point, H1=1500*T / 2; The actual buried depth of each sedimentary reservoir at each well point from the seabed is calculated based on the downhole water depth: Record the logging depth H of each well point and each period of sedimentary reservoir encountered by the well A and the core filling height H2, subtracting the downhole water depth and the core filling height to obtain the true buried depth H of the sedimentary reservoir at each well point from the seabed, H=H A -H1-H2.

2. The method for quality inspection and correction of multi-stage sedimentary reservoir logging physical property curves in deepwater gas fields according to claim 1 is characterized in that: The response characteristic values ​​of the well logging density, well logging neutron, and well logging acoustic wave at each well point in the deepwater gas field at each sedimentary reservoir are obtained as follows: Draw histograms of logging density, logging neutrons, and logging acoustic waves for each sedimentary reservoir at each well point in the deepwater gas field, and read the histogram peaks as the response characteristic values ​​of logging density, logging neutrons, and logging acoustic waves for each sedimentary reservoir at each well point.

3. The method for quality inspection and correction of multi-stage sedimentary reservoir logging physical property curves in deepwater gas fields according to claim 1 or 2, characterized in that: Based on the response characteristic values ​​of well logging density, well logging neutron, and well logging acoustic wave, the relationship model between the well logging density, well logging neutron, and well logging acoustic wave physical property curves and the actual burial depth of the sedimentary reservoir at each stage at each well point in the deepwater gas field is established as follows: Based on the response characteristic values ​​of logging density, logging neutron, and logging acoustic waves of the sedimentary reservoirs of each period at all well points, cross-plots of the response characteristic values ​​of logging density, logging neutron, and logging acoustic waves with the true burial depth of the sedimentary reservoirs of each period were drawn, and a regression model was obtained to obtain the relationship model between the response values ​​of the logging physical property curves of the sedimentary reservoirs of each period and the true burial depth.

4. The quality inspection and correction system for multi-stage sedimentary reservoir logging curves in deepwater gas fields is characterized by: include: Downhole water depth measurement module, measuring the downhole water depth of each well point; A true burial depth calculation module calculates the true burial depth of each sedimentary reservoir at each well point from the seabed based on the downhole water depth; The response characteristic value acquisition module obtains the response characteristic values ​​of logging density, logging neutron and logging acoustic wave at each well point in the deepwater gas field at each sedimentary reservoir stage; The relationship model building module establishes the relationship model between the logging density, logging neutron, and logging acoustic wave logging physical property curves and the actual burial depth of each sedimentary reservoir at each well point in the deepwater gas field based on the response characteristic values ​​of logging density, logging neutron, and logging acoustic wave; The well logging property curve inspection and correction module combines the actual burial depth of each period of sedimentary reservoirs at the new drilling point with the relationship model corresponding to the new drilling point to perform a quality check on the well logging property curve of the new drilling point. If the data points of the well logging property curve fall on the trend line of the relationship model, it means that the quality of the well logging property curve is reliable and no correction is required. Otherwise, it is necessary to translate the data points to the trend line of the relationship model to obtain the correction value, and then correct the quality of the well logging property curve of the new drilling point according to the correction value. The water depth of each well point is measured as follows: Use an echo sounder to record the time interval T from the emission of the logging sound wave to the detector receiving the logging sound wave reflected from the seabed to obtain the downhole water depth H1 of each well point, H1=1500*T / 2; The actual buried depth of each sedimentary reservoir at each well point from the seabed is calculated based on the downhole water depth: Record the logging depth H of each well point and each period of sedimentary reservoir encountered by the well A and the core filling height H2, subtracting the downhole water depth and the core filling height to obtain the true buried depth H of the sedimentary reservoir at each well point from the seabed, H=H A -H1-H2.

5. An electronic device, characterized in that The invention comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the method for quality inspection and correction of multi-stage sedimentary reservoir logging physical property curves in a deepwater gas field as claimed in any one of claims 1 to 3 is implemented.

6. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the method for quality inspection and correction of multi-stage sedimentary reservoir logging physical property curves in deepwater gas fields according to any one of claims 1 to 3 is implemented.

Images