Quality inspection and correction method for logging physical property curve of multi-stage sedimentary reservoir of deepwater gas field

Abstract

The invention relates to the technical field of oil and gas exploration and development, and provides a deepwater gas field multi-stage sedimentary reservoir logging physical property curve quality inspection and correction method which comprises the steps that the underground water depth of each well point is measured; calculating the real burial depth of the sedimentary reservoir at each well point in each period from the seabed based on the underground water depth; respectively acquiring response characteristic values of density, neutrons and sound waves of each well point in the deepwater gas field at each period of the sedimentary reservoir; based on the response characteristic values of the density, the neutrons and the sound waves, a relation model of the logging physical property curve of the density, the neutrons and the sound waves of the sedimentary reservoir in each period at each well point in the deepwater gas field and the real burial depth is established; and translating the logging physical property curve of the new well drilling point according to the relation model corresponding to the new well drilling point in combination with the real burial depth of the sedimentary reservoir of each stage of the new well drilling point, so as to determine a corresponding correction value and correct the logging physical property curve quality of the new well drilling point. According to the method, accurate correction of the logging physical property curve of the multi-stage sedimentary reservoir with large water depth difference in the deepwater gas field is realized.

Description

Technical Field

[0001] The 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 a logging physical property curve of a multi-stage sedimentary reservoir in a deepwater gas field. Background Art

[0002] The water depth of a deepwater gas field in a certain sea area is between 1000m and 1600m, and the water depth varies greatly. In addition, due to geological tectonic action, the upper sedimentary strata were weathered and eroded in the early stage, and the basin settled in the later stage, and continued to receive the sedimentation of the near-source clastic rocks in the basin depression. Two sets of stable mudstones A and B (i.e., two-stage sedimentary reservoirs) were formed in the center of the gas field depression, which were deposited in different periods and had large differences in burial depth. Due to the influence of the water depth of the well point and the difference in the burial depth of the mudstone, the well logging physical property curves (logging density, logging neutron, logging acoustic wave) of different well points and different mudstones are very different. This difference may be a true reflection of the difference in geological factors, or it may be caused by measurement errors. Unqualified logging curves may directly lead to large errors in the key parameters of reserve evaluation, such as logging porosity and gas saturation. Therefore, it is necessary to conduct quality inspection and correction of the logging curves.

[0003] At present, the industry mainly uses the histogram method for logging curve quality inspection and correction. 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, and then obtain the logging curve characteristic values ​​of the stable distribution mudstone of the key well and the non-key well respectively. Finally, based on the difference between the characteristic values ​​of the non-key well and the key well, the logging curve of a non-key well (the whole well section) is added with the same correction amount to obtain the corrected logging curve. In this method, the correction amount of the whole well section of the same well is a fixed value, and the standard value referenced by the correction of different wells is fixed (that is, corrected to the characteristic value corresponding to the key well). The influence of water depth, burial depth and deposition period is not considered. The differences between geological factors and actual measurements on the logging curve are often eliminated in a general way, resulting in excessive correction of the logging physical property curve, which leads to 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 to 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 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 burial depth of each period of sedimentary reservoir at each well point from the seabed based on the downhole water depth;

[0008] The response characteristic values ​​of well logging density, well logging neutron and well logging acoustic wave of each well point in the deep-water gas field at each stage of sedimentary reservoir are obtained respectively;

[0009] 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 true burial depth of each period of sedimentary reservoirs at each well point in deepwater gas fields is established;

[0010] Combined with the actual burial depth of the sedimentary reservoirs of each period at the new drilling point, the quality of the well logging physical 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 physical property curve fall on the trend line of the relationship model, it means that the quality of the well logging physical 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 amount, and correct the quality of the well logging physical property curve of the new drilling point 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:

[0012] The echo sounder is used to record the time interval T from the emission of logging sound waves to the detector receiving the reflected logging sound waves from the seabed to obtain the downhole water depth H of each well point. 1 , H 1 =1500*T / 2.

[0013] According to one aspect of the present invention, the actual burial depth of each period of 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 bushing height H 2 , subtracting the water depth and the height of the core patch, we can get the actual burial depth H of the sedimentary reservoir at each well point from the seabed, H = H A -H 1 -H 2 .

[0015] According to one aspect of the present invention, the response characteristic values ​​of well logging density, well logging neutron and well logging acoustic wave at each well point in the deep-water gas field at each stage of sedimentary reservoir are respectively obtained as follows:

[0016] The histograms of logging density, logging neutron and logging acoustic wave of each sedimentary reservoir at each well point in the deep-water gas field are respectively made, and the peak value of the histogram is read as the response characteristic value of the logging density, logging neutron and logging acoustic wave of each sedimentary reservoir at each well point.

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

[0018] Based on the response characteristic values ​​of logging density, logging neutron and logging acoustic wave of sedimentary reservoirs in each period at all well points, the intersection diagrams of the response characteristic values ​​of logging density, logging neutron and logging acoustic wave and the true burial depth of sedimentary reservoirs in each period were drawn respectively, and the relationship model between the response value of logging physical property curve and the true burial depth of sedimentary reservoirs in each period was obtained by regression.

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

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

[0021] A real burial depth calculation module is used to calculate the real burial depth of each period of 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 the well logging density, well logging neutron and well logging acoustic wave of each well point in the deep-water gas field at each stage of the sedimentary reservoir;

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

[0024] 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 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 point of the well logging property curve falls 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 point to the trend line of the relationship model to obtain the correction amount, and correct the quality of the well logging property curve of the new drilling point 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 executable on the processor, wherein the computer program, when executed by the processor, implements the method for quality inspection and correction of multi-stage sedimentary reservoir logging physical property curves of deepwater gas fields as described above.

[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 method for quality inspection and correction of multi-stage sedimentary reservoir logging physical property curves in deepwater gas fields as described above is implemented.

[0027] According to the scheme of the present invention, the present invention can effectively eliminate the systematic errors caused by different wellbore environments, different logging instruments, etc. to the measurement of physical property curves other than geological factors, and significantly improve the measurement accuracy of physical property curves of multi-stage sedimentary reservoirs in deepwater gas fields, especially for the quality inspection and correction of well logging curves of reservoirs with large differences in water depth and burial depth, with strong adaptability, 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 makes up for the deficiencies of quality inspection and correction of well logging physical property curves in traditional schemes, and realizes accurate and efficient standardization of well logging physical property curves of 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 showing 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;

[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 actual 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 actual 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 to enable those skilled in the art to better understand and thus 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 1As shown, in this embodiment, the method for quality inspection and correction of well logging physical property curves of multi-stage sedimentary reservoirs in deepwater gas fields includes:

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

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

[0037] The response characteristic values ​​of well logging density, well logging neutron and well logging acoustic wave of each well point in the deep-water gas field at each stage of sedimentary reservoir are obtained respectively;

[0038] 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 true burial depth of each period of sedimentary reservoirs at each well point in deepwater gas fields is established;

[0039] Combined with the actual burial depth of the sedimentary reservoirs of each period of 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 point of the well logging property curve falls 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 point 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. (That is, the new drilling physical property data point is projected onto the corresponding model plate according to the deposition period. If the data point falls on the trend line of the relationship model, it means that the quality of the well logging property curve of the new drilling is reliable and no correction is required; otherwise, it is necessary to translate the data point to the trend line of the relationship model, and the translation amount is the correction amount, and the quality of the well logging property curve of the new drilling point is corrected according to the correction amount).

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

[0041] The echo sounder is used to record the time interval T from the emission of logging sound waves to the detector receiving the reflected logging sound waves from the seabed to obtain the downhole water depth H of each well point. 1 , H 1 =1500*T / 2.

[0042] Further, according to an embodiment of the present invention, the actual burial depth of each period of 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 bushing height H 2 , subtracting the water depth and the height of the core patch, we can get the actual burial depth H of the sedimentary reservoir at each well point from the seabed, H = H A -H 1 -H 2 .

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

[0045] Draw the histograms of well logging density, well logging neutron, and well logging acoustic wave of each period of sedimentary reservoir at each well point in the deep-water gas field, and read the histogram peak value as the response characteristic value of well logging density, well logging neutron, and well logging acoustic wave of each period of sedimentary reservoir at each well point. (For example, adopt the well-known histogram method, set the data distribution interval, perform statistical analysis on the data samples in each interval to establish a histogram, and the value with the highest peak value is the characteristic value).

[0046] Further, according to an embodiment 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 well logging physical property curves and the actual burial depth of each period of sedimentary reservoirs 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 wave of sedimentary reservoirs in each period at all well points, the intersection diagrams of the response characteristic values ​​of logging density, logging neutron and logging acoustic wave and the true burial depth of sedimentary reservoirs in each period were drawn respectively, and the relationship model between the response value of logging physical property curve and the true burial depth of sedimentary reservoirs in each period was obtained by regression.

[0048] According to the above scheme of the present invention, the present invention can effectively eliminate the systematic errors caused by different wellbore environments, different logging instruments, etc. to the measurement of physical property curves other than geological factors, and significantly improve the measurement accuracy of physical property curves of multi-stage sedimentary reservoirs in deepwater gas fields, especially for the quality inspection and correction of well logging curves of reservoirs with large differences in water depth and burial depth, with strong adaptability, 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 makes up for the deficiencies of quality inspection and correction of well logging physical property curves in traditional schemes, and realizes accurate and efficient standardization of well logging physical property curves of deepwater gas fields with large differences in water depth, large structural amplitude changes, and multi-stage sedimentary reservoirs.

[0049] Furthermore, in order to achieve the above-mentioned purpose, the present invention also provides a deepwater gas field multi-stage sedimentary reservoir logging physical property curve quality inspection and correction system, which is characterized by comprising:

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

[0051] A real burial depth calculation module is used to calculate the real burial depth of each period of 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 the well logging density, well logging neutron and well logging acoustic wave of each well point in the deep-water gas field at each stage of the sedimentary reservoir;

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

[0054] 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 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 point of the well logging property curve falls 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 point to the trend line of the relationship model to obtain the correction amount, and correct the quality of the well logging property curve of the new drilling point according to the correction amount.

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

[0056] The echo sounder is used to record the time interval T from the emission of logging sound waves to the detector receiving the reflected logging sound waves from the seabed to obtain the downhole water depth H of each well point. 1 , H 1 =1500*T / 2.

[0057] Further, according to an embodiment of the present invention, the actual burial depth of each period of 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 bushing height H 2 , subtracting the water depth and the height of the core patch, we can get the actual burial depth H of the sedimentary reservoir at each well point from the seabed, H = H A -H 1 -H 2 .

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

[0060] The histograms of logging density, logging neutron and logging acoustic wave of each sedimentary reservoir at each well point in the deep-water gas field are respectively made, and the peak value of the histogram is read as the response characteristic value of the logging density, logging neutron and logging acoustic wave of each sedimentary reservoir at each well point.

[0061] Further, according to an embodiment 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 well logging physical property curves and the actual burial depth of each period of sedimentary reservoirs 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 wave of sedimentary reservoirs in each period at all well points, the intersection diagrams of the response characteristic values ​​of logging density, logging neutron and logging acoustic wave and the true burial depth of sedimentary reservoirs in each period were drawn respectively, and the relationship model between the response value of logging physical property curve and the true burial depth of sedimentary reservoirs in each period was obtained by regression.

[0063] According to the above scheme of the present invention, the present invention can effectively eliminate the systematic errors caused by different wellbore environments, different logging instruments, etc. to the measurement of physical property curves other than geological factors, and significantly improve the measurement accuracy of physical property curves of multi-stage sedimentary reservoirs in deepwater gas fields, especially for the quality inspection and correction of well logging curves of reservoirs with large differences in water depth and burial depth, with strong adaptability, 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 makes up for the deficiencies of quality inspection and correction of well logging physical property curves in traditional schemes, and realizes accurate, efficient and standardized correction of well logging physical property curves of deepwater gas fields with large differences in water depth, 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, including 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-period sedimentary reservoir logging physical property curves of deepwater gas fields as described above 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, and when the computer program is executed by a processor, the method for quality inspection and correction of multi-stage sedimentary reservoir logging physical property curves in deepwater gas fields as described above is implemented.

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

[0067] Example 1

[0068] Taking the quality inspection and correction of two sets of well logging physical property curves of stable mudstone A and B (i.e. two-stage 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 of each well point: Use an echo sounder to record the time interval T = 1.93s from the emission of logging sound waves to the detector receiving the reflected logging sound waves from the seabed, and calculate the water depth H of each well point. 1 =1500*T / 2=1447.5m;

[0070] Step 2, calculation of the actual buried depth of the reservoir: record the logging depth of the XX-1 well point where the well encounters stable mudstone A (the depth from the rotary table surface to the mudstone A) H A =3299.5m, measure the height of the patching core (the height from the turntable surface to the sea level) H 2 = 27m. Subtracting the water depth and the height of the core patch, the actual buried depth H of the stable mudstone A at the XX-1 well point from the seabed can be obtained. H = H A -H 1 -H 2 =1825m;

[0071] Step 3, obtaining the logging density, logging neutron, and logging acoustic wave response characteristic values ​​of the stable mudstone A: making the logging density, logging neutron, and logging acoustic wave histograms of the stable mudstone A at the XX-1 well point respectively, and reading 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 burial 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 response;

[0073] The core calibration is: based on the core formation pressure porosity value, the porosity value calculated by the logging physical property curve is calibrated. If the porosity value of the core analysis matches the porosity value calculated by the logging physical property curve, it means that the logging curve is reliable and there is no systematic error. The purpose of core calibration is to ensure that the acquired logging density, logging neutron, and logging acoustic response characteristic values ​​of stable mudstone A and B are true 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 characteristic values ​​of the well logging density, well logging neutron, and well logging acoustic response;

[0075] Step 6, respectively establish the well logging density, well logging neutron, well logging acoustic wave logging physical property curve correction models of stable mudstone A and B deposited at different periods: based on the well logging density, well logging neutron, well logging acoustic wave response characteristic values ​​of different sets of stable mudstones in all wells, respectively make the intersection diagrams of well logging density, well logging neutron, well logging acoustic wave response characteristic values ​​and the actual burial depth of stable mudstone (such as 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 is obtained by regression.

[0076] The 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] Neutron Logging: CNL A =-0.0001*H+0.5357

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

[0080] The relationship model between the 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] Neutron Logging: 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 physical property curve and the actual burial depth of the XX gas field, combined with the actual burial depth of the newly drilled stable mudstone A and B, the well logging physical property curve is translated according to the corresponding model to determine the corresponding correction amount, and the quality of the well logging physical property curve of the newly drilled well is 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 rather than to limit it. 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 physical property curves of multi-stage sedimentary reservoir logging in deepwater gas fields, characterized in that: include: Measure the water depth at each well point; Calculate the actual burial depth of each period of sedimentary reservoir at each well point from the seabed based on the downhole water depth; The response characteristic values ​​of well logging density, well logging neutron and well logging acoustic wave of each well point in the deep-water gas field at each stage of sedimentary reservoir are obtained respectively; 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 true burial depth of each period of sedimentary reservoirs at each well point in deepwater gas fields is 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 physical 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 physical property curve fall on the trend line of the relationship model, it means that the quality of the well logging physical 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 amount, and correct the quality of the well logging physical property curve of the new drilling point according to the correction amount.

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 water depth of each well point is measured as follows: The echo sounder is used to record the time interval T from the emission of logging sound waves to the detector receiving the logging sound waves reflected from the seabed to obtain the downhole water depth H1 of each well point, H1 = 1500*T / 2.

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 is characterized in that: The actual buried depth of each period of 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 water depth and the core-filling height to obtain the true burial depth H of the sedimentary reservoir at each well point from the seabed, H = H A -H1-H2.

4. 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 of each well point in the deep-water gas field at each stage of the sedimentary reservoir are obtained as follows: The histograms of logging density, logging neutron and logging acoustic wave of each sedimentary reservoir at each well point in the deep-water gas field are respectively made, and the peak value of the histogram is read as the response characteristic value of the logging density, logging neutron and logging acoustic wave of each sedimentary reservoir at each well point.

5. 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 4, characterized in that: Based on the response characteristic values ​​of logging density, logging neutron and logging acoustic wave, the relationship model between the logging density, logging neutron and logging acoustic wave physical property curves and the actual burial depth of the sedimentary reservoirs 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 wave of sedimentary reservoirs in each period at all well points, the intersection diagrams of the response characteristic values ​​of logging density, logging neutron and logging acoustic wave and the true burial depth of sedimentary reservoirs in each period were drawn respectively, and the relationship model between the response value of logging physical property curve and the true burial depth of sedimentary reservoirs in each period was obtained by regression.

6. The quality inspection and correction system of logging physical property curves of multi-stage sedimentary reservoirs in deepwater gas fields is characterized by: include: Downhole water depth measurement module, measuring the downhole water depth of each well point; A real burial depth calculation module is used to calculate the real burial depth of each period of 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 the well logging density, well logging neutron and well logging acoustic wave of each well point in the deep-water gas field at each stage of the sedimentary reservoir; The relationship model building module, based on the response characteristic values ​​of well logging density, well logging neutron, and well logging acoustic wave, respectively builds the relationship model between the well logging density, well logging neutron, and well logging acoustic wave well logging physical property curves and the actual burial depth of each period of sedimentary reservoirs at each well point in the deepwater gas field; 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 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 point of the well logging property curve falls 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 point to the trend line of the relationship model to obtain the correction amount, and correct the quality of the well logging property curve of the new drilling point according to the correction amount.

7. 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 the computer program, when executed by the processor, implements the method for quality inspection and correction of physical property curves of multi-stage sedimentary reservoir logging in deepwater gas fields as described in any one of claims 1 to 5.

8. 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 5 is implemented.

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