Construction method and device of three-dimensional quality factor body, equipment and storage medium

Abstract

The invention relates to the technical field of computers, and particularly discloses a three-dimensional quality factor body construction method and device, equipment and a storage medium. The method comprises the following steps: acquiring well sound wave data and ground three-dimensional seismic data; determining a well-ground joint matching layering factor based on the well sound wave data and the ground three-dimensional seismic data; constructing a quality factor body layering initial model based on the ground three-dimensional seismic data and a well-ground joint matching layering factor; and correcting the quality factor body layering initial model by using well sound wave data with different offsets, generating a target three-dimensional quality factor body, and determining a target three-dimensional quality factor through the target three-dimensional quality factor body. According to the technical scheme, the accuracy of the sound wave data in the well and the ductility of the ground three-dimensional seismic data are exerted at the same time, accurate establishment of the target three-dimensional quality factor body is achieved, and the determined quality factor body has higher accuracy and reliability.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method, device, equipment and storage medium for constructing a three-dimensional quality factor body. Background Art

[0002] Ground 3D seismic data is obtained by exciting artificial seismic sources on the ground or in shallow wells, using detectors on the ground to receive signals, and imaging the stratigraphic structure mainly through reflected waves. When the amplitude of the reflected wave is used to calculate the quality factor Q value, due to problems such as noise interference, amplitude distortion, and phase distortion, the calculated Q value has poor stability, low reliability, and singular value interference. Therefore, it is difficult to effectively obtain a high-accuracy 3D Q volume and, therefore, an accurate Q value by relying solely on conventional ground 3D seismic data.

[0003] In addition, the detectors are set in the well vertically on the seismic profile. Due to the limited number of detectors in the well, multiple source excitations are required on the ground, and the detectors are constantly moved in the well to complete the acquisition of the entire well section. Affected by the excitations of different sources, there is a problem of inconsistency in reflected waves, which affects the calculation accuracy of the Q value. Moreover, the detectors set in the well cannot withstand the high temperature deep underground, resulting in the inability to collect deep data, resulting in a lack of deep data and difficulty in calculating the deep Q value. Summary of the invention

[0004] In order to solve the above technical problems or at least partially solve the above technical problems, the present application provides a method, device, equipment and storage medium for constructing a three-dimensional quality factor body.

[0005] According to one aspect of an embodiment of the present application, a method for constructing a three-dimensional quality factor body is provided, comprising: acquiring borehole acoustic wave data and ground three-dimensional seismic data; determining a well-ground joint matching stratification factor based on the borehole acoustic wave data and the ground three-dimensional seismic data; constructing a quality factor body stratification initial model based on the ground three-dimensional seismic data and the well-ground joint matching stratification factor; correcting the quality factor body stratification initial model using borehole acoustic wave data of different offset distances to generate a target three-dimensional quality factor body, and determining a target three-dimensional quality factor through the target three-dimensional quality factor body.

[0006] Furthermore, based on the well acoustic wave data and the ground three-dimensional seismic data, a well-ground joint matching stratification factor is determined, including: based on the well acoustic wave data and the ground three-dimensional seismic data, respectively determining first quality factor data generated by the well acoustic wave data at the wellbore position and second quality factor data generated by the ground three-dimensional seismic data at the wellbore position; using the first quality factor data to correct the second quality factor data to determine the well-ground joint matching stratification factor.

[0007] Furthermore, the first quality factor data is used to correct the second quality factor data to determine the well-ground joint matching stratification factor, including: determining the well-ground joint precision correction factor based on the similarity between the first quality factor data and the second quality factor data; correcting the second quality factor data using the well-ground joint precision correction factor to obtain the corrected second quality factor data; and determining the well-ground joint matching stratification factor based on the stratification precision information of the first quality factor data and the second quality factor data.

[0008] Furthermore, based on the acoustic wave data in the well and the three-dimensional seismic data on the ground, first quality factor data generated by the acoustic wave data in the well at the wellbore position and second quality factor data generated by the three-dimensional seismic data on the ground at the wellbore position are respectively determined, including: collecting the acoustic wave data in the well at a first depth collection interval to generate first quality factor data represented by a first curve; collecting the three-dimensional seismic data on the ground at a second depth collection interval to generate second quality factor data represented by a second curve.

[0009] Furthermore, based on the ground three-dimensional seismic data and the well-ground joint matching stratification factors, an initial model of quality factor body stratification is constructed, including: performing three-dimensional layer picking on the ground three-dimensional seismic data based on the well-ground joint matching stratification factors to determine the spatial three-dimensional stratification factors; determining the quality factor of each layer in the ground three-dimensional seismic data based on the spatial three-dimensional stratification factors; and constructing an initial model of quality factor body stratification using the quality factor of each layer.

[0010] Furthermore, the quality factor of each layer is used to construct an initial model of the quality factor body stratification, including: determining an initial quality factor body corresponding to the three-dimensional seismic data based on the quality factor of each layer; processing the initial quality factor body based on the well-ground joint precision correction factor and the spatial three-dimensional stratification factor to generate an initial model of the quality factor body stratification.

[0011] Furthermore, the quality factor body stratification initial model is corrected using borehole acoustic wave data of different offset distances to generate a target three-dimensional quality factor body, including: determining the acoustic wave propagation paths corresponding to the different offset distances based on the borehole acoustic wave data; correcting the quality factor body stratification initial model based on the acoustic wave propagation path to obtain a spatial accuracy correction factor; and replacing the well-ground joint accuracy correction factor in the quality factor body stratification initial model with the spatial accuracy correction factor to obtain a target three-dimensional quality factor body.

[0012] According to another aspect of an embodiment of the present application, a device for constructing a three-dimensional quality factor body is also provided, including: an acquisition module, used to acquire well acoustic wave data and ground three-dimensional seismic data; a stratification factor determination module, used to determine the well-ground joint matching stratification factor based on the well acoustic wave data and the ground three-dimensional seismic data; a model construction module, used to construct a quality factor body stratification initial model based on the ground three-dimensional seismic data and the well-ground joint matching stratification factor; a quality factor body determination module, used to correct the quality factor body stratification initial model using well acoustic wave data of different offset distances, generate a target three-dimensional quality factor body, and determine the target three-dimensional quality factor through the target three-dimensional quality factor body.

[0013] According to another aspect of an embodiment of the present application, there is also provided an electronic device, comprising: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; wherein the memory is used to store computer programs; and the processor is used to execute the steps in the above method by running the program stored in the memory.

[0014] According to another aspect of an embodiment of the present application, a computer-readable storage medium is provided, which stores computer instructions for causing a computer to execute the steps in the above method.

[0015] The embodiment of the present application also provides a computer program product including instructions, which, when executed on a computer, enables the computer to execute the steps in the above method.

[0016] The above technical solution provided by the embodiment of the present application has the following advantages compared with the prior art:

[0017] In the embodiment of the present application, full use is made of both borehole acoustic wave data and ground three-dimensional seismic data. The advantage of accurate Q value calculation of borehole acoustic wave data is brought into play at the wellbore. A three-dimensional quality factor body stratification initial model is established using ground three-dimensional seismic data. Then, the quality factor body stratification initial model is corrected using borehole acoustic wave data at different offset distances to generate a target three-dimensional quality factor body. Thus, the accuracy of the borehole acoustic wave data and the ductility of the ground three-dimensional seismic data can be brought into play at the same time, which greatly improves the calculation accuracy of the Q value, thereby realizing the precise establishment of the target three-dimensional quality factor body, and making the determined quality factor have higher accuracy and reliability.

[0018] In the embodiment of the present application, the similarity between the first quality factor data and the second quality factor data is evaluated to extract the well-ground joint precision correction factor, thereby improving the accuracy of Q value calculation of ground three-dimensional seismic data.

[0019] In an embodiment of the present application, by evaluating the stratification accuracy information between the first quality factor data and the second quality factor data to extract the well-ground joint matching stratification factor, the corrected second quality factor data is stratified, which not only ensures the stability of the Q value calculation result, but also realizes the fine stratification of the second quality factor data.

[0020] In the embodiment of the present application, three-dimensional layer picking is performed on the ground three-dimensional seismic data according to the well-ground joint matching layering factor at the wellbore position, thereby improving the reliability and refinement of the three-dimensional layer picking.

[0021] In the embodiment of the present application, the quality factor body layered initial model is corrected according to the propagation paths of the well acoustic wave data at different offset distances to obtain a spatial accuracy correction factor, so as to improve the construction accuracy of the three-dimensional quality factor body. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0023] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0024] Figure 1 A flowchart of a method for constructing a three-dimensional quality factor body provided in an embodiment of the present application;

[0025] Figure 2 A schematic diagram of DAS data in a well provided in an embodiment of the present application;

[0026] Figure 3 A schematic diagram of ground three-dimensional seismic data provided by an embodiment of the present application;

[0027] Figure 4 A flowchart of another method for constructing a three-dimensional quality factor body provided in an embodiment of the present application;

[0028] Figure 5 A flowchart of another method for constructing a three-dimensional quality factor body provided in an embodiment of the present application;

[0029] Figure 6 A schematic diagram of a target three-dimensional quality factor body provided in an embodiment of the present application;

[0030] Figure 7 A structural block diagram of a device for constructing a three-dimensional quality factor body provided in an embodiment of the present application;

[0031] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. The schematic embodiments of the present application and their descriptions are used to explain the present application and do not constitute improper limitations on the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0033] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another similar entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0034] At present, ground three-dimensional seismic obtains effective information of underground seismic waves through artificial source excitation and ground detector reception. Since the underground strata are non-completely elastic media, they will absorb and attenuate seismic waves, causing the amplitude energy, frequency, phase, etc. of the seismic waves to attenuate or distort. In addition, various noise interferences reduce the imaging accuracy of three-dimensional seismic data, which is not conducive to the detailed exploration and development of oil and gas reservoirs.

[0035] As the exploration and development level deepens, high-quality resources continue to decrease, and the exploration and development of low-quality resources becomes increasingly difficult. Geological targets generally have the characteristics of "thin-small-fragmented-deep-scattered-hidden", and the requirements for the resolution and imaging accuracy of three-dimensional seismic data are constantly increasing. Three-dimensional seismic data has problems such as unsatisfactory resolution in the middle and deep layers, difficulty in deep imaging, and large well-seismic errors. The acquisition of high-accuracy three-dimensional quality factor (Q) body can be processed by amplitude-preserving frequency extension, Q-compensated pre-stack depth migration, etc., which can greatly improve the resolution and imaging accuracy of seismic data.

[0036] When calculating the Q value, the Q value calculation method is classified according to the type of data used, including: using near-surface micro-logging data to calculate the Q value, using ground three-dimensional seismic data to calculate the Q value, using vertical seismic profile (Vertical Seismic Profile, referred to as VSP) data to calculate the Q value and other methods. The near-surface Q value can be calculated using near-surface micro-logging data, and the mid-deep Q value can be calculated using ground three-dimensional seismic data or VSP data. The specific Q value calculation methods mainly include: spectrum ratio method, centroid frequency offset method, amplitude attenuation method, rise time method, wavelet model method, frequency model method, pulse amplitude method, constant Q value scanning method, VSP evaluation method, pre-stack seismic Q value inversion method based on Bayesian theory, generalized center frequency offset method based on divergence, Q value estimation method using deep learning, Q value estimation method using seismic reflection wave data, etc. There are many methods for calculating Q value at present, and some of them have achieved certain effects in practical applications. However, the relevant technologies mainly calculate Q value through one kind of data (ground three-dimensional seismic data or well detector data), which has the disadvantages of low accuracy in establishing Q body, poor stability, and interference from abnormal values.

[0037] Based on this, the technical solution of the present application makes full use of both the in-well acoustic wave data and the ground three-dimensional seismic data, while giving full play to the accuracy of the in-well acoustic wave data and the scalability of the ground three-dimensional seismic data, greatly improving the calculation accuracy of the Q value, thereby realizing the accurate establishment of the target three-dimensional quality factor body.

[0038] The embodiments of the present application provide a method, device, equipment and storage medium for constructing a three-dimensional quality factor body. The method provided in the embodiments of the present invention can be applied to any required electronic device, for example, it can be an electronic device such as a server or a terminal, which is not specifically limited here. For the convenience of description, it is referred to as an electronic device in the following.

[0039] Embodiment 1

[0040] According to one aspect of the embodiments of the present application, an embodiment of a method for constructing a three-dimensional quality factor body is provided. Figure 1 A flowchart of a method for constructing a three-dimensional quality factor body provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the method includes:

[0041] S11, acquiring acoustic wave data in the well and three-dimensional seismic data on the ground.

[0042] Well acoustic wave data is collected by Distributed Acoustic Sensing (DAS) installed in the well. Specifically, DAS is placed one by one from the wellhead to the bottom of the well to collect the source signal generated in the well and obtain well acoustic wave data in segy format, such as Figure 2 shown.

[0043] The ground three-dimensional seismic data is obtained through the detectors buried in the ground. Specifically, the detectors can be buried according to the actual design observation system, and the artificial source excitation can be carried out on the ground using explosives, controllable vibrators, heavy hammers, etc. to obtain the corresponding ground three-dimensional seismic data, such as Figure 3 shown.

[0044] The DAS installed in the well and the detector buried on the ground can synchronously receive the source signal. Therefore, the acoustic wave data in the well and the three-dimensional seismic data on the ground receive the signal of the same source, ensuring that the two have consistent source characteristics.

[0045] S12, determining the well-ground joint matching stratification factor based on the well acoustic wave data and the ground three-dimensional seismic data.

[0046] Compared with ground three-dimensional seismic data, the in-well acoustic wave data has higher accuracy and precision. The ground three-dimensional seismic data is corrected using the in-well acoustic wave data to obtain corrected ground three-dimensional seismic data, so that the in-well acoustic wave data and the corrected ground three-dimensional seismic data are consistent in the depth domain at the wellbore position.

[0047] The well-ground joint matching stratification factor is used to stratify the corrected ground 3D seismic data. By judging the stratification accuracy of the well acoustic wave data and the corrected ground 3D seismic data, the well-ground joint matching stratification factor at the wellbore position is calculated.

[0048] S13, based on the ground 3D seismic data and the well-ground joint matching stratification factors, an initial stratification model of the quality factor body is constructed.

[0049] According to the well-ground joint matching stratification factor, the 3D layer position of the ground 3D seismic data is picked to obtain the corresponding spatial 3D stratification factor. Then, the Q value of each layer is calculated in combination with the spatial 3D stratification factor, and the Q value of each layer is used to construct the Q volume stratification initial model corresponding to the ground 3D seismic data.

[0050] S14, using the borehole acoustic wave data at different offset distances to correct the initial model of the quality factor body layering, and generate a target three-dimensional quality factor body.

[0051] Since the accuracy of the Q-body stratified initial model will decrease at a location far away from the wellbore, in order to improve its accuracy, the Q-body stratified initial model is corrected from near to far and from shallow to deep according to the propagation path of the DAS data in the well at different offset distances, so as to eliminate the Q value calculation error of the Q-body stratified initial model and generate the final target three-dimensional quality factor body.

[0052] The method for constructing a three-dimensional quality factor body provided in the present embodiment makes full use of both borehole acoustic wave data and ground three-dimensional seismic data, takes advantage of the accuracy of the borehole acoustic wave data in calculating the Q value at the wellbore, uses the ground three-dimensional seismic data to establish a three-dimensional quality factor body stratified initial model, and then corrects the quality factor body stratified initial model through borehole acoustic wave data at different offsets to generate a target three-dimensional quality factor body. Thus, the accuracy of the borehole acoustic wave data and the ductility of the ground three-dimensional seismic data can be simultaneously utilized, which greatly improves the calculation accuracy of the Q value, thereby realizing the accurate establishment of the target three-dimensional quality factor body, and making the target three-dimensional quality factor body have higher accuracy and reliability.

[0053] Embodiment 2

[0054] As an optional implementation, Figure 4 As shown, the above step S12 may include:

[0055] S121, based on the borehole acoustic wave data and the surface three-dimensional seismic data, respectively determine the first quality factor data generated by the borehole acoustic wave data at the wellbore position and the second quality factor data generated by the surface three-dimensional seismic data at the wellbore position.

[0056] The first quality factor data is represented by a quality factor curve of the acoustic wave data in the well at the wellbore position. The second quality factor data is represented by a quality factor curve of the three-dimensional seismic data on the ground at the wellbore position.

[0057] Specifically, the above step S121 may include:

[0058] Step A1, collecting acoustic wave data in the well according to a first depth collection interval, and generating first quality factor data represented by a first curve.

[0059] Step A2: collecting ground three-dimensional seismic data according to a second depth collection interval to generate second quality factor data represented by a second curve.

[0060] The first depth acquisition interval is the acquisition interval for the DAS data in the well, and the acquisition interval can be set according to actual needs. Specifically, according to the DAS data in the well, data acquisition is performed according to the first depth acquisition interval, and the first quality factor curve QDAS at the wellbore position can be obtained. well (i), i = 1, 2, 3 ... N. Where i is the depth sampling interval, N is the depth value, in meters (m). The fine Q value curve (i.e., the first quality factor data) that can be calculated using the DAS data in the well has high accuracy and precision, and can more finely characterize the Q value from shallow to deep in the wellbore position, with an accuracy of up to 1m.

[0061] The second depth acquisition interval is the acquisition interval for the ground three-dimensional seismic data, which can be set according to actual needs. Specifically, according to the ground three-dimensional seismic data, data acquisition is performed according to the second depth acquisition interval, and the second quality factor curve Q3D at the wellbore position can be obtained. well (j), j = 1, 2, 3 ... M. Wherein, j is the depth sampling interval, M is the depth value, and the unit is meter (m). Due to the limitation of ground 3D seismic data, the accuracy of the second quality factor curve is lower than that of the first quality factor curve, and the Q value from shallow to deep at the wellbore position is not detailed enough, the Q value has poor stability and low reliability, and there is singular value interference, and the accuracy is about 10-100m.

[0062] S122, using the first quality factor data to correct the second quality factor data, and determine the well-ground joint matching stratification factor.

[0063] As mentioned above, the accuracy of the first quality factor data is higher than that of the second quality factor data. At this time, the second quality factor data can be corrected by the first quality factor data so that the accuracy of the two reaches the same order of magnitude. Then, the first quality factor data curve is used as a stratification reference to determine the well-ground joint matching stratification factor for the corrected second quality factor data to stratify the corrected second quality factor data.

[0064] Specifically, the above step S122 may include:

[0065] Step B1, determining a well-ground joint precision correction factor based on the similarity between the first quality factor data and the second quality factor data.

[0066] Step B2: Correct the second quality factor data using the well-ground joint precision correction factor to obtain corrected second quality factor data.

[0067] Step B3: determining the well-ground joint matching stratification factor based on the stratification accuracy information of the first quality factor data and the second quality factor data.

[0068] The similarity between the first quality factor data and the second quality factor data at the wellbore position is analyzed to extract the well-ground joint precision correction factor QCor of the first quality factor data and the second quality factor data. well Specifically, the fine Q value curve used to characterize the first quality factor data is squared, and the rough Q value curve used to characterize the second quality factor data is interpolated, so that the accuracy of the two Q value curves reaches one order of magnitude. Then, the two are matched by the frequency division normalized cross-correlation method, which improves the accuracy of Q value calculation of ground 3D seismic data. well, the rough Q value curve is corrected to achieve consistent matching of the Q value depth domain in the well and on the ground at the wellbore position.

[0069] The rough Q value curve representing the second quality factor data is corrected using the well-ground joint precision correction factor, and the corrected rough Q value curve at the wellbore position is obtained as Q3D well *QCor well (k). The calibrated rough Q value curve is used to characterize the calibrated second quality factor data; Q3D well (j) is a rough Q value curve representing the second quality factor data; QCor well is the well-ground joint accuracy correction factor at the wellbore; k=1,2,3...X, k is the depth sampling interval, X is the depth value, and the unit is meter (m).

[0070] After the accuracy of the two Q value curves reaches an order of magnitude, the stratification accuracy of the above two Q value curves is analyzed, and the fine Q value curve is used as the stratification guidance parameter to stratify the corrected rough Q value curve to obtain the well-ground joint matching stratification factor QLay at the wellbore position. well , which can not only ensure the stability of the results, but also achieve fine stratification.

[0071] Using well-ground joint matching stratification factor QLay well The corrected rough Q value curve is layered to obtain the Q value layering model at the wellbore position as Q3D well *QCor well *QLay well (h), h=1,2,3......L. Among them: Q3D well (j) is a rough Q value curve; QCor well QLay is the well-ground joint accuracy correction factor at the wellbore position; well is the stratification factor for well-ground joint matching; h is the model stratification number, L is the total number of model layers, dimensionless unit.

[0072] The method for constructing a three-dimensional quality factor body provided in this embodiment improves the accuracy of Q value calculation of ground three-dimensional seismic data by evaluating the similarity between the first quality factor data and the second quality factor data to extract the well-ground joint precision correction factor. By evaluating the stratification accuracy information between the first quality factor data and the second quality factor data to extract the well-ground joint matching stratification factor, the corrected second quality factor data is stratified, which can not only ensure the stability of the Q value calculation result, but also realize the fine stratification of the second quality factor data.

[0073] Embodiment 3

[0074] As an optional implementation, Figure 5 As shown, the above step S13 may include:

[0075] S131, performing three-dimensional layer picking for the ground three-dimensional seismic data based on the well-ground joint matching layering factor, and determining the spatial three-dimensional layering factor.

[0076] When picking 3D layers based on ground 3D seismic data, the well-ground joint matching stratification factor QLay at the wellbore position is used. well As the picking amount version, the spatial three-dimensional layering factor QLay is obtained area , which improves the reliability and refinement of layer picking.

[0077] S132, determining the quality factor of each layer in the ground three-dimensional seismic data based on the spatial three-dimensional stratification factor.

[0078] According to the spatial three-dimensional layering factor QLay area , the Q value of each layer is calculated using ground 3D seismic data to achieve Q value filling of the 3D layered model.

[0079] S133, constructing a quality factor body hierarchical initial model using the quality factor of each layer.

[0080] Combined with the quality factor of each layer and the well-ground connection accuracy correction factor QCor at the wellbore location well And the spatial three-dimensional layering factor QLay area , and the initial stratified model of quality factors was constructed.

[0081] Specifically, the above step S133 may include:

[0082] Step C1, based on the quality factor of each layer, determining an initial quality factor volume corresponding to the three-dimensional seismic data.

[0083] Step C2, processing the initial quality factor body based on the well-ground joint precision correction factor and the spatial three-dimensional stratification factor to generate a quality factor body stratification initial model.

[0084] The Q value of each layer is used to fill the Q value of the three-dimensional layered model and obtain the Q volume calculated by the ground three-dimensional seismic data. In the process of calculating the spatial three-dimensional Q volume, the well-ground connection accuracy correction factor QCor at the wellbore position is used. well Improve the accuracy of the spatial three-dimensional Q body, and then combine the spatial three-dimensional layering factor QLay area , the initial model of quality factor volume stratification is constructed. The initial model of three-dimensional Q volume stratification in the work area is established as Q3D area *QCor well *QLay area (h). Where: Q3Darea QCor is the Q volume corresponding to the ground 3D seismic data; well QLay is the well-ground joint accuracy correction factor at the wellbore position; area is the three-dimensional spatial stratification factor; h = 1, 2, 3...L, h is the model stratification number, L is the total number of model layers, dimensionless unit.

[0085] The wellbore joint accuracy correction factor QCor at the wellbore position well The accuracy of the spatial three-dimensional Q-body can be improved, but the correction factor has a higher accuracy at the wellbore position. At a position far away from the wellbore, the accuracy will be reduced. In addition, the underground stratum structure is constantly changing, and a three-dimensional spatial correction factor is needed to further improve the accuracy of the three-dimensional Q-body layered initial model. As an optional implementation, Figure 5 As shown, the above step S14 may include:

[0086] S141, based on different offset distances of the acoustic wave data in the well, determining the acoustic wave propagation paths corresponding to the different offset distances.

[0087] Artificial seismic sources are stimulated on the ground, and seismic waves propagate from the ground to the underground, passing through various strata from shallow to deep in turn. The number of layers passed through by the near-offset data is small, and the number of layers passed through by the far-offset data is large. The propagation path is calculated by combining the wave equation with ray tracing to ensure the stability and reliability of the propagation path. Therefore, in the Q-body layered initial model, the propagation paths of the DAS data in the wells with different offsets can be calculated respectively.

[0088] S142, correcting the quality factor volume layered initial model based on the sound wave propagation path to obtain a spatial accuracy correction factor.

[0089] According to the propagation path of DAS data in wells with different offsets, the initial model of Q body stratification is corrected. From near offset to far offset, the Q value calculation error is gradually eliminated; from shallow to deep layers, correction is made in sequence to achieve layer-by-layer stripping with fine Q value calculation.

[0090] Based on the Q value calculation from near to far and from shallow to deep and the layer stripping rule, the spatial accuracy correction factor QCor of the three-dimensional well-ground joint is obtained. area , achieving further improvement in the accuracy of the Q-body stratified initial model.

[0091] S143, using the spatial precision correction factor to replace the well-ground joint precision correction factor in the quality factor body stratified initial model to obtain a target three-dimensional quality factor body.

[0092] As mentioned above, the initial model of the three-dimensional Q body layer is Q3D area *QCor well *QLayarea (h), using the spatial accuracy correction factor QCor area Replace the well-ground joint precision correction factor QCor in the initial three-dimensional Q-body layered model well , thus obtaining the final target three-dimensional quality factor body, that is, the model of the target three-dimensional Q body is Q3D area *QCor area *QLay area (h) Figure 6 As shown. Among them, Q3D area QCor is the Q volume corresponding to the ground 3D seismic data; area is the spatial accuracy correction factor; QLay area is the three-dimensional spatial stratification factor; h = 1, 2, 3...L, h is the model stratification number, L is the total number of model layers, dimensionless unit.

[0093] The method for constructing a three-dimensional quality factor body provided in this embodiment performs three-dimensional layer picking on the ground three-dimensional seismic data according to the well-ground joint matching layering factor at the wellbore position, thereby improving the reliability and refinement of the three-dimensional layer picking. According to the propagation path of the acoustic wave data in the well at different offset distances, the initial layered model of the quality factor body is corrected to obtain a spatial accuracy correction factor, so as to improve the construction accuracy of the three-dimensional quality factor body.

[0094] In the above implementation, when using ground three-dimensional seismic data to calculate the Q value, due to noise interference, amplitude distortion and other problems, the calculated Q value has poor stability and low reliability. Taking advantage of the two types of data, the DAS data in the well and the ground three-dimensional seismic data, the DAS data in the well is used to perform precision correction and matching stratification on the ground three-dimensional seismic data at the wellbore position, and a three-dimensional Q body stratification initial model with high accuracy is established. Taking advantage of the DAS data in the well at different offset distances, based on the calculation rules from near to far and from front to deep, the accuracy of the Q body stratification initial model is further improved, and the final target three-dimensional quality factor body is obtained.

[0095] In the related technology, a limited number of detectors are set up in the well, and multiple source excitations are required on the ground. The detectors are constantly moved in the well to complete the acquisition of the entire well section, and then the VSP data is used to calculate the Q value. Affected by the excitations of different sources, there is a problem of sub-wave inconsistency, which affects the accuracy of Q value calculation. Compared with the related technology, the DAS in the well can achieve the layout of the entire well section at one time, and only one excitation is required on the ground to achieve the acquisition of the entire well section. The DAS data in the well has very good sub-wave consistency, and a fine Q value curve can be calculated at the wellbore position. The Q value calculated by the three-dimensional seismic data is corrected based on the fine Q value curve, which greatly improves the reliability of the calculation results.

[0096] The VSP well detector cannot withstand the high temperature in the deep layer, which makes it impossible to collect VSP data in the deep layer, resulting in data missing. The DAS data in the well has the characteristics of high temperature resistance, which can realize the full collection from the wellhead to the bottom of the well, without data missing, and can realize the precise calculation of the deep Q value. The target three-dimensional quality factor body finally established can contain all the information of the shallow, middle and deep layers.

[0097] Embodiment 4

[0098] Figure 7 This is a block diagram of a device for constructing a three-dimensional quality factor body provided in an embodiment of the present application. The device can be implemented as part or all of an electronic device through software, hardware, or a combination of both. Figure 7 As shown, the construction device of the three-dimensional quality factor body includes:

[0099] The acquisition module 21 is used to acquire the acoustic wave data in the well and the three-dimensional seismic data on the ground.

[0100] The layering factor determination module 22 is used to determine the well-ground joint matching layering factor based on the well acoustic wave data and the ground three-dimensional seismic data.

[0101] The model building module 23 is used to build a quality factor volume stratification initial model based on the ground three-dimensional seismic data and the well-ground joint matching stratification factor.

[0102] The quality factor volume determination module 24 is used to calibrate the quality factor volume layered initial model using the well acoustic wave data at different offsets to generate a target three-dimensional quality factor volume.

[0103] Optionally, the stratification factor determination module 22 may include:

[0104] The quality factor data determination unit is used to determine the first quality factor data generated by the well acoustic wave data at the wellbore position and the second quality factor data generated by the ground three-dimensional seismic data at the wellbore position based on the well acoustic wave data and the ground three-dimensional seismic data.

[0105] The correction unit is used to correct the second quality factor data using the first quality factor data to determine the well-ground joint matching stratification factor.

[0106] Optionally, the quality factor data determination unit is specifically used to: collect acoustic wave data in the well according to a first depth acquisition interval to generate first quality factor data represented by a first curve; collect ground three-dimensional seismic data according to a second depth acquisition interval to generate second quality factor data represented by a second curve.

[0107] Optionally, the correction unit is specifically used to: determine the well-ground joint precision correction factor based on the similarity between the first quality factor data and the second quality factor data; correct the second quality factor data using the well-ground joint precision correction factor to obtain the corrected second quality factor data; determine the well-ground joint matching stratification factor based on the stratification accuracy information of the first quality factor data and the second quality factor data.

[0108] Optionally, the above-mentioned model building module 23 may include:

[0109] The layer picking unit is used to perform three-dimensional layer picking on the ground three-dimensional seismic data based on the well-ground joint matching layer factor to determine the spatial three-dimensional layer factor.

[0110] The quality factor determination unit is used to determine the quality factor of each layer in the ground three-dimensional seismic data based on the spatial three-dimensional stratification factor.

[0111] The initial model building unit is used to build a quality factor body hierarchical initial model using the quality factor of each layer.

[0112] Optionally, the above-mentioned initial model construction unit is specifically used to: determine an initial quality factor body corresponding to the three-dimensional seismic data based on the quality factor of each layer; process the initial quality factor body based on the well-ground joint precision correction factor and the spatial three-dimensional stratification factor to generate a quality factor body stratified initial model.

[0113] Optionally, the quality factor determination module 24 may include:

[0114] The propagation path determination unit is used to determine the sound wave propagation paths corresponding to different offset distances based on different offset distances of the sound wave data in the well.

[0115] The model correction unit is used to correct the quality factor volume layered initial model based on the sound wave propagation path to obtain the spatial accuracy correction factor.

[0116] The replacement unit is used to replace the well-ground joint precision correction factor in the quality factor body stratification initial model with the spatial precision correction factor to obtain the target three-dimensional quality factor body.

[0117] The further functional description of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0118] The construction device of the three-dimensional quality factor body in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0119] The three-dimensional quality factor body construction device provided in the embodiment of the present application can simultaneously give full play to the accuracy of the acoustic wave data in the well and the ductility of the three-dimensional seismic data on the ground, greatly improving the calculation accuracy of the Q value, thereby realizing the precise establishment of the target three-dimensional quality factor body, making the target three-dimensional quality factor body have higher accuracy and reliability.

[0120] The present application also provides an electronic device, such as Figure 8 As shown, the electronic device may include: a processor 301 , a communication interface 302 , a memory 303 and a communication bus 304 , wherein the processor 301 , the communication interface 302 , and the memory 303 communicate with each other via the communication bus 304 .

[0121] Memory 303, used for storing computer programs;

[0122] The processor 301 is used to implement the steps of the above embodiment when executing the computer program stored in the memory 303.

[0123] The communication bus mentioned in the above terminal can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0124] The communication interface is used for communication between the above terminal and other devices.

[0125] The memory may include a random access memory (RAM) or a non-volatile memory, such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0126] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0127] In another embodiment provided in the present application, a computer-readable storage medium is provided, in which instructions are stored. When the computer-readable storage medium is executed on a computer, the computer executes the shared memory-based data reading and writing method described in any of the above embodiments.

[0128] In another embodiment provided in the present application, a computer program product including instructions is also provided, which, when executed on a computer, enables the computer to execute the data reading and writing method based on shared memory described in any one of the above embodiments.

[0129] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk SolidState Disk), etc.

[0130] The above description is only a preferred embodiment of the present application and is not intended to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application are included in the protection scope of the present application.

[0131] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features applied for herein.

Claims

1. A method for constructing a three-dimensional quality factor body, characterized in that: include: Acquire acoustic wave data in the well and 3D seismic data on the ground; Determining a well-ground joint matching stratification factor based on the well acoustic wave data and the ground three-dimensional seismic data; Based on the ground three-dimensional seismic data and the well-ground joint matching stratification factor, constructing a quality factor body stratification initial model; The quality factor volume layered initial model is corrected using the borehole acoustic wave data at different offset distances to generate a target three-dimensional quality factor volume.

2. The method according to claim 1, characterized in that The determining of the well-ground joint matching stratification factor based on the well acoustic wave data and the ground three-dimensional seismic data includes: Based on the well acoustic wave data and the surface three-dimensional seismic data, respectively determine first quality factor data generated by the well acoustic wave data at the wellbore position and second quality factor data generated by the surface three-dimensional seismic data at the wellbore position; The second quality factor data is corrected using the first quality factor data to determine the well-ground joint matching stratification factor.

3. The method according to claim 2, characterized in that Correcting the second quality factor data using the first quality factor data to determine a well-ground joint matching stratification factor includes: Determining a well-ground joint precision correction factor based on the similarity between the first quality factor data and the second quality factor data; Correcting the second quality factor data using the well-ground joint precision correction factor to obtain corrected second quality factor data; The well-ground joint matching stratification factor is determined based on the stratification accuracy information of the first quality factor data and the second quality factor data.

4. The method according to claim 2, characterized in that: The method of determining first quality factor data generated by the well acoustic wave data at the wellbore position and second quality factor data generated by the ground three-dimensional seismic data at the wellbore position based on the well acoustic wave data and the ground three-dimensional seismic data respectively comprises: Acquire the acoustic wave data in the well according to a first depth acquisition interval to generate the first quality factor data represented by a first curve; The ground three-dimensional seismic data is collected according to a second depth collection interval to generate the second quality factor data represented by a second curve.

5. The method according to claim 1, characterized in that The constructing of a quality factor body stratification initial model based on the ground three-dimensional seismic data and the well-ground joint matching stratification factor comprises: Based on the well-ground joint matching stratification factor, three-dimensional layer picking is performed on the ground three-dimensional seismic data to determine the spatial three-dimensional stratification factor; Determining a quality factor of each layer in the ground three-dimensional seismic data based on the spatial three-dimensional stratification factor; The quality factor volume hierarchical initial model is constructed using the quality factor of each layer.

6. The method according to claim 5, characterized in that The step of constructing the quality factor body hierarchical initial model using the quality factor of each layer includes: Based on the quality factor of each layer, determining an initial quality factor volume corresponding to the three-dimensional seismic data; The initial quality factor body is processed based on the well-ground joint precision correction factor and the spatial three-dimensional stratification factor to generate the quality factor body stratification initial model.

7. The method according to claim 5, characterized in that The method of correcting the initial model of the quality factor body layer by using the well acoustic wave data at different offsets to generate a target three-dimensional quality factor body includes: Based on different offset distances of the acoustic wave data in the well, determining the acoustic wave propagation paths corresponding to the different offset distances; Correcting the quality factor volume layered initial model based on the sound wave propagation path to obtain the spatial accuracy correction factor; The spatial precision correction factor is used to replace the well-ground joint precision correction factor in the quality factor body layered initial model to obtain the target three-dimensional quality factor body.

8. A device for constructing a three-dimensional quality factor body, characterized in that: include: An acquisition module is used to acquire acoustic wave data in the well and three-dimensional seismic data on the ground; A layering factor determination module, used to determine a well-ground joint matching layering factor based on the well acoustic wave data and the ground three-dimensional seismic data; A model building module, used to build a quality factor body stratification initial model based on the ground three-dimensional seismic data and the well-ground joint matching stratification factor; The quality factor volume determination module is used to calibrate the quality factor volume layered initial model using the well acoustic wave data at different offset distances to generate a target three-dimensional quality factor volume.

9. An electronic device, characterized in that: include: A processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; wherein the memory is used to store a computer program; and the processor is used to execute the method for constructing a three-dimensional quality factor body according to any one of claims 1 to 7 by running the program stored in the memory.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method for constructing a three-dimensional quality factor body according to any one of claims 1 to 7.

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