Marine facies hydrocarbon source rock thickness plane distribution prediction method, device, equipment and medium

Abstract

The invention discloses a marine hydrocarbon source rock thickness plane distribution prediction method, device and equipment and a medium. The method comprises the following steps: acquiring a marine facies hydrocarbon source rock core of a to-be-researched area, and determining a logging curve corresponding to the marine facies hydrocarbon source rock core and a development interval range of the marine facies hydrocarbon source rock; and on the basis of the logging curve and the development interval of the marine hydrocarbon source rock, constructing a marine hydrocarbon source rock logging identification quantity version. And carrying out seismic inversion based on the marine facies hydrocarbon source rock logging identification quantity version to obtain a two-dimensional inversion seismic section, and determining the hydrocarbon source rock thickness of the marine facies hydrocarbon source rock based on the two-dimensional inversion seismic section. And through seismic horizon calibration, according to the hydrocarbon source rock thickness, determining predicted marine facies hydrocarbon source rock thickness plane distribution corresponding to the marine facies hydrocarbon source rock in the to-be-researched area, thereby making up the limitation of marine facies hydrocarbon source rock distribution prediction by singly using seismic data, and improving the accuracy of hydrocarbon source rock plane distribution prediction at the same time.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas exploration, and in particular to a method, device, equipment and medium for predicting the plane distribution of thickness of marine source rocks. Background Art

[0002] The distribution prediction of marine source rocks is one of the difficult problems in the field of ancient marine carbonate rocks. The distribution of marine source rocks controls the distribution of natural gas, so the distribution prediction of marine source rocks has become one of the necessary tasks in oil and gas exploration in the field of marine carbonate rocks.

[0003] However, the layers where marine carbonate rocks are developed are relatively old, the quality of seismic data is generally poor, and the velocity field is difficult to obtain, which makes it more difficult to predict the distribution range of marine source rocks directly using seismic data. Existing technologies for predicting the planar distribution of marine source rocks are mostly based on reconstructed pseudo-acoustic wave curves to carry out frequency inversion, wave impedance inversion, or direct prediction based on seismic multi-attributes. These methods have also achieved certain exploration results, but it is difficult to guarantee the prediction accuracy. Summary of the invention

[0004] The present invention provides a method, device, equipment and medium for predicting the planar distribution of the thickness of marine source rocks, which makes up for the limitation of using only seismic data to predict the distribution of source rocks, and improves the accuracy of predicting the planar distribution of source rocks.

[0005] According to one aspect of the present invention, a method for predicting the planar distribution of thickness of marine source rocks is provided. The method comprises:

[0006] Obtaining a marine source rock core in the area to be studied, and determining the well logging curve corresponding to the marine source rock core and the range of the layer where the marine source rock is developed;

[0007] Based on the well logging curve and the layer section where the marine source rock is developed, construct a marine source rock well logging identification quantity plate, wherein the marine source rock well logging identification quantity plate at least includes the well logging parameter distribution of the upper source rock, the well logging parameter distribution of the middle source rock and the well logging parameter distribution of the lower source rock;

[0008] Conducting seismic inversion based on the marine source rock logging identification plate to obtain a two-dimensional inversion seismic profile, and determining the source rock thickness of the marine source rock based on the two-dimensional inversion seismic profile;

[0009] Through seismic layer calibration, according to the thickness of the source rock, the predicted planar distribution of the marine source rock thickness corresponding to the marine source rock in the study area is determined, wherein the predicted planar distribution of the marine source rock thickness at least includes the planar distribution of the upper source rock thickness, the planar distribution of the middle source rock thickness and the planar distribution of the lower source rock thickness.

[0010] According to another aspect of the present invention, a device for predicting the planar distribution of thickness of marine source rocks is provided. The device comprises:

[0011] A marine source rock core acquisition module is used to acquire the marine source rock core of the area to be studied, and determine the well logging curve corresponding to the marine source rock core and the range of the layer section where the marine source rock is developed;

[0012] A well logging identification plate construction module is used to construct a marine source rock well logging identification plate based on the well logging curve and the layer section where the marine source rock is developed, wherein the marine source rock well logging identification plate at least includes the well logging parameter distribution of the upper source rock, the well logging parameter distribution of the middle source rock and the well logging parameter distribution of the lower source rock;

[0013] A marine source rock thickness determination module, used to perform seismic inversion based on the marine source rock well logging identification plate to obtain a two-dimensional inversion seismic profile, and determine the source rock thickness of the marine source rock based on the two-dimensional inversion seismic profile;

[0014] The module for predicting the planar distribution of source rocks is used to determine the predicted planar distribution of the thickness of marine source rocks corresponding to the marine source rocks in the study area according to the thickness of the source rocks through seismic horizon calibration, wherein the predicted planar distribution of the thickness of marine source rocks at least includes the planar distribution of the thickness of the upper source rocks, the planar distribution of the thickness of the middle source rocks and the planar distribution of the thickness of the lower source rocks.

[0015] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0016] at least one processor; and

[0017] a memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for predicting the planar distribution of the thickness of marine source rocks described in any embodiment of the present invention.

[0019] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for predicting the planar distribution of the thickness of marine source rocks described in any embodiment of the present invention when executed.

[0020] The technical solution of the embodiment of the present invention determines the development layer and lithology of marine source rocks by observing the core of marine source rocks and analyzing the logging response, determines the logging identification plate of marine source rocks according to the logging curve response characteristics of marine source rocks, and then determines the thickness of marine source rocks by seismic inversion under the constraint of natural gamma curves based on the logging identification plate; finally, the planar distribution of marine source rocks is determined by stratigraphic position calibration combined with the seismic response characteristics of marine source rocks, which solves the problems of multiple solutions when directly using pseudo-sonic curves for inversion or directly using seismic attributes to predict the distribution of marine source rocks, and innovatively proposes to use the four-determination method to accurately and effectively predict the distribution characteristics of marine source rocks.

[0021] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 is a flow chart of a method for predicting the planar distribution of thickness of marine source rocks provided in Example 1 of the present invention;

[0024] Figure 2 is a schematic diagram of a marine source rock development layer section provided according to Example 1 of the present invention;

[0025] Figure 3 Schematic diagram of a marine source rock logging identification plate provided according to the first embodiment of the present invention;

[0026] Figure 4 is a schematic diagram of a standard logging curve provided according to Embodiment 1 of the present invention;

[0027] Figure 5 is a schematic diagram of a two-dimensional inversion seismic profile provided according to the first embodiment of the present invention;

[0028] Figure 6 is a flow chart of a method for predicting the planar distribution of thickness of marine source rocks provided in Example 2 of the present invention;

[0029] Figure 7 is a schematic diagram of the seismic phase plane distribution of marine source rocks provided in Example 2 of the present invention;

[0030] Figure 8is a schematic diagram of the plane distribution of the thickness of the lower marine source rock provided by Example 2 of the present invention;

[0031] Fig. 9 is a structural diagram of a device for predicting the planar distribution of thickness of marine source rocks provided according to Embodiment 3 of the present invention;

[0032] Fig.10 It is a schematic diagram of the structure of an electronic device for implementing the method for predicting the planar distribution of thickness of marine source rocks according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0034] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0035] Embodiment 1

[0036] Figure 1 A flowchart of a method for predicting the plane distribution of the thickness of marine source rocks is provided for the first embodiment of the present invention. This embodiment can be applied to predicting the plane distribution of the thickness of marine source rocks. The method can be executed by a device for predicting the plane distribution of the thickness of marine source rocks. The device can be implemented in the form of hardware and / or software. The device can be configured in an electronic device. Figure 1 As shown, the method includes:

[0037] S101. Obtain a marine source rock core in the area to be studied, and determine the well logging curve corresponding to the marine source rock core and the range of the layer where the marine source rock is developed.

[0038] The layers where the marine source rock is developed include at least the upper source rock, the middle source rock and the lower source rock. The logging curve refers to a series of data and graphs obtained by logging in the wells to be studied, which are usually used to evaluate the properties, distribution and scale of the marine source rock. Exemplarily, the logging curve may include but is not limited to natural gamma curves, caliper curves, sonic curves, resistivity curves, density curves, etc. The source rock layer range may refer to the depth range of the source rock development.

[0039] Specifically, a suitable drilling and mining site is selected in the area to be studied, a drilling rig is used to drill at the selected site, and the core is collected to the ground through a core pipe. The number of cores mined in the technical solution of the present invention is not specifically limited, but the more cores mined, the more accurate the thickness plane distribution of the marine source rock is predicted. The marine source rock cores obtained are usually numbered, marked and stored. Subsequent testing and analysis are performed on the marine source rock cores obtained to obtain various logging curves, and the source rock layer range of the source rock in each layer can be determined.

[0040] Exemplarily, determining the range of the layer sections where marine source rocks develop includes: determining the well logging curve response characteristics corresponding to the marine source rocks based on the well logging curves and the lithological characteristics of the marine source rocks; and determining the range of the layer sections where marine source rocks develop in the area to be studied based on the well logging curve response characteristics.

[0041] Figure 2 This is a schematic diagram of the marine source rock development layer section provided in Example 1 of the present invention. Figure 2 As shown, GR refers to the natural gamma curve, AC refers to the acoustic time difference curve, RT refers to the resistivity curve, and DEN refers to the density curve.

[0042] It should be noted that the lithological characteristics of the marine source rock may refer to the distribution characteristics of the marine source rock in the stratigraphic section. The logging curve response characteristics may refer to the best logging curve for identifying the marine source rock in the drilling logging curve. Preferably, the present invention selects the natural gamma (GR) curve as the logging curve response characteristics.

[0043] Specifically, the logging curve is compared with the core characteristics of the marine source rock to determine the sensitive logging curve that is better for identifying the marine source rock, that is, the logging curve response characteristics. According to the logging curve response characteristics corresponding to the marine source rock, the development range of each marine source rock layer in the study area is determined.

[0044] S102: construct a marine source rock logging identification plate based on the logging curves and the layer sections where the marine source rocks are developed.

[0045] The marine source rock logging identification plate at least includes the upper source rock logging parameter distribution, the middle source rock logging parameter distribution and the lower source rock logging parameter distribution.

[0046] Figure 3 This is a schematic diagram of the marine source rock logging identification plate provided in Example 1 of the present invention. Figure 3 As shown in the figure, the natural gamma curve GR, the acoustic time difference curve AC and the density curve DEN in the drilling logging curve are selected to construct a three-dimensional coordinate system. According to the parameter distribution of each section of marine source rock in the natural gamma curve GR, the acoustic time difference curve AC and the density curve DEN, the logging identification plate of the marine source rock can be constructed.

[0047] Exemplarily, the marine source rock logging identification plate is constructed based on the logging curves and the layers where the marine source rocks are developed, including: for each type of the logging curves, the logging curves are standardized to obtain standard logging curves; based on the standard logging curves, the logging parameter distribution range corresponding to each marine source rock layer segment is determined; based on the logging parameter distribution range, the marine source rock logging identification plate is constructed.

[0048] The standard logging curve may refer to a logging curve obtained by subjecting each type of logging curve to a unit unified standard. The logging parameter distribution range may refer to unifying the numerical distribution intervals of the logging curves of all wells in the area to be studied into the same interval.

[0049] Specifically, due to the different years and batches of drilling logging curve processing, the distribution range of the same logging curve of different wells varies greatly, so it is necessary to first standardize all logging curves of all wells in the study area. Figure 4 Schematic diagram of the standard logging curve provided in Example 1 of the present invention. Figure 4 As shown in the figure, all the logging curves have been standardized. Based on the standardized logging curves, the distribution ranges of the natural gamma curve GR, the acoustic time difference curve AC and the density curve DEN of each layer of marine source rock are counted respectively. Of course, the distribution ranges of the natural gamma curve GR, the acoustic time difference curve AC and the density curve DEN of each layer of marine source rock will be different. The more wells are counted, the more regular the distribution ranges of the natural gamma curve GR, the acoustic time difference curve AC and the density curve DEN of each layer of marine source rock will be. According to the distribution ranges of the natural gamma curve GR, the acoustic time difference curve AC and the density curve DEN of each layer of marine source rock, the logging identification scale of the marine source rock in the study area is established as the standard basis for logging identification of marine source rocks.

[0050] S103, performing seismic inversion based on the marine source rock logging identification plate to obtain a two-dimensional inversion seismic profile, and determining the source rock thickness of the marine source rock based on the two-dimensional inversion seismic profile.

[0051] Specifically, the drilling is calibrated to the seismic profile through the conventional seismic horizon calibration method, and it is found that the resolution of the seismic data in the area to be studied is low, and it is difficult to directly carry out inversion prediction of the distribution of marine source rocks based on wave impedance or other parameters. The present invention adjusts the inversion parameters on the seismic inversion platform based on the marine source rock logging identification volume plate as a reference basis, thereby obtaining the distribution law of marine source rocks on the two-dimensional inversion seismic profile. After obtaining the two-dimensional inversion seismic profile, the vertical development position and the undeveloped position of the marine source rock can be determined according to the two-dimensional inversion seismic profile, and then the thickness of the marine source rock can be determined.

[0052] Exemplarily, after performing seismic inversion based on the marine source rock logging identification plate to obtain a two-dimensional inversion seismic profile, it also includes: projecting the logging curve onto the two-dimensional inversion seismic profile; and determining the rationality of the inversion result based on the two-dimensional inversion seismic profile and the logging curve.

[0053] In the present invention, it is preferred to project the natural gamma ray curve GR in the logging curve onto the two-dimensional inversion seismic section, and use the natural gamma ray curve GR to verify whether the inversion result is reasonable. Figure 5 Schematic diagram of a two-dimensional inversion seismic profile provided in Embodiment 1 of the present invention. Figure 5 As shown in the figure, the curve corresponding to L3 represents the natural gamma curve GR of L3 well, which is used to verify whether the inversion result is reasonable. The dark gray part in the horizontal direction is the location where the marine source rock is developed in the two-dimensional inversion seismic profile. The judgment criteria for rationality are: where the natural gamma curve GR is high, the marine source rock is developed; where the natural gamma curve GR is low, the marine source rock is not developed.

[0054] Exemplarily, after determining the rationality of the inversion result, the method further includes: if the inversion result is unreasonable, adjusting the inversion parameters and re-performing the seismic inversion.

[0055] Specifically, when it is determined that the inversion result is unreasonable, return to step S103, adjust the inversion parameters in the seismic inversion platform, and re-perform the seismic inversion until the inversion result is consistent with the natural gamma curve of the marine source rock to obtain an updated two-dimensional inversion seismic profile.

[0056] S104, determining the predicted planar distribution of the thickness of the marine source rock corresponding to the marine source rock in the area to be studied through seismic horizon calibration according to the thickness of the source rock.

[0057] The predicted planar distribution of the thickness of marine source rocks includes at least the planar distribution of the upper source rocks, the planar distribution of the middle source rocks and the planar distribution of the lower source rocks. Seismic horizon calibration refers to calibrating the well logging curve to the seismic profile to obtain the depth and properties of the well underground. The main goal of seismic horizon calibration is to determine the distribution of different rock layers underground based on the reflection waveform and arrival time information in the seismic data.

[0058] Specifically, according to the seismic horizon calibration, the seismic response characteristics of the wells in the study area are determined, and then the seismic phase characteristics of the marine source rock in the study area are determined, so as to predict the thickness planar distribution of the marine source rock.

[0059] The technical solution of the embodiment of the present invention determines the development layer and lithology of marine source rocks based on the observation of marine source rock cores and the logging response, determines the logging identification plate of marine source rocks based on the logging curve response characteristics of marine source rocks, and then performs seismic inversion under natural gamma constraints based on the logging identification plate of marine source rocks to determine the thickness of the marine source rocks; finally, through seismic layer calibration, the planar distribution of marine source rocks is determined in combination with the seismic response characteristics of marine source rocks, which solves the problems of multiple solutions when directly using pseudo-sonic curves for inversion or directly using seismic attributes to predict the distribution of marine source rocks, and innovatively proposes to use the four-determination method to accurately and effectively predict the planar distribution characteristics of the thickness of marine source rocks.

[0060] Embodiment 2

[0061] Figure 6 This is a flow chart of a method for predicting the planar distribution of the thickness of marine source rocks provided in the second embodiment of the present invention. Based on the above embodiments, this embodiment further refines the determination and prediction of the planar distribution of the thickness of marine source rocks. Figure 6 As shown, the method includes:

[0062] S201, obtaining a core of a marine source rock in the area to be studied, and determining the well logging curve corresponding to the core of the marine source rock and the range of the layer section where the marine source rock is developed.

[0063] S202: construct a marine source rock logging identification plate based on the logging curves and the layers where the marine source rocks are developed.

[0064] S203, performing seismic inversion based on the marine source rock logging identification plate to obtain a two-dimensional inversion seismic profile, and determining the source rock thickness of the marine source rock based on the two-dimensional inversion seismic profile.

[0065] S204, calibrating the seismic horizon of the area to be studied to obtain the seismic response characteristics of the marine source rock, and determining the seismic phase characteristics of the marine source rock in the area to be studied based on the seismic response characteristics of the marine source rock.

[0066] Specifically, seismic exploration can use seismic data to record the response of underground rocks and media to vibrations. Combined with the positions of each well corresponding to the marine source rock on the seismic profile, the seismic response characteristics corresponding to the marine source rock in the area to be studied are clarified, and the seismic phase analysis of the area to be studied is carried out to determine the seismic phase characteristics of the marine source rock in the area to be studied. Exemplarily, the seismic response characteristics of the marine source rock in the area to be studied may include reflection characteristics with strong amplitude, parallel-subparallel continuity.

[0067] S205. Determine the predicted planar distribution of the thickness of the marine source rock according to the thickness of the source rock and the seismic facies characteristics of the marine source rock.

[0068] Specifically, the thickness of the source rock and the seismic phase characteristics can be input into the plane distribution network model for plane distribution prediction, and the plane distribution of the thickness of the marine source rock in the study area can be determined based on the output of the plane distribution network model. The plane distribution network model can be a neural network obtained by pre-training based on training samples.

[0069] Exemplarily, the step of determining the predicted planar distribution of the thickness of the marine source rock according to the thickness of the source rock and the seismic phase characteristics of the marine source rock includes:

[0070] Determining the planar distribution of the marine source rock according to the seismic phase characteristics and the planar distribution network model of the marine source rock;

[0071] According to the planar distribution of the marine source rock and the thickness of the marine source rock, the predicted planar distribution of the thickness of the marine source rock is obtained by performing linear interpolation processing on all two-dimensional seismic survey lines in the area to be studied.

[0072] Specifically, for each layer of marine source rock, the seismic phase characteristics of the marine source rock are input into the plane distribution network model for plane distribution prediction. According to the output of the plane distribution network model, the seismic phase plane distribution of each layer of marine source rock can be determined. Figure 7 This is a schematic diagram of the seismic phase plane distribution of marine source rocks provided in Example 2 of the present invention. Figure 7 As shown, the white dotted line is the seismic response characteristic of marine source rock, i.e., the strong amplitude, parallel-subparallel continuous seismic phase reflection characteristic. After obtaining the plane distribution of the seismic phase of the marine source rock, according to the plane distribution of the seismic phase of the marine source rock and the thickness of the marine source rock, all the two-dimensional survey lines of seismic inversion in the area to be studied are linearly interpolated to obtain the plane distribution of the predicted source rock thickness containing each layer of the plane distribution of the marine source rock in the area to be studied. Figure 8 This is a schematic diagram of the thickness distribution of the lower marine source rock provided in Example 2 of the present invention. Figure 8As shown in the figure, L1, L2, and L3 are the distribution positions of drilling wells, and the value on the dividing line indicates the thickness of marine source rocks. It should be noted that before performing linear interpolation processing based on the 2D seismic lines, seismic inversion under the constraint of the natural gamma curve GR is required for all 2D seismic lines in the study area, that is, the natural gamma curve GR of the drilling wells must be used to constrain the 2D seismic lines near the wells, and linear interpolation processing can only be performed after the natural gamma curve GR matches the 2D seismic inversion profile.

[0073] The technical solution of the embodiment of the present invention obtains the seismic response characteristics of the marine source rock in the drilling by calibrating the seismic horizons of the drilling in the study area, and clarifies the seismic phase distribution of the marine source rock in the study area based on the seismic response characteristics of the marine source rock in the drilling and the seismic phase analysis of the study area; for each layer of marine source rock, the seismic response characteristics of the marine source rock are input into a plane distribution network model for plane distribution prediction, and based on the output of the plane distribution network model, the seismic phase plane distribution of the marine source rock in the study area is determined; according to the seismic phase plane distribution of the marine source rock and the thickness of the marine source rock, all two-dimensional seismic inversion profiles in the study area are linearly interpolated to obtain the plane distribution of the thickness of the marine source rock in the study area, thereby effectively predicting the distribution characteristics of the marine source rock and improving the accuracy of the prediction of the plane distribution of the marine source rock.

[0074] Embodiment 3

[0075] Fig. 9 This is a schematic diagram of the structure of a device for predicting the planar distribution of the thickness of marine source rocks provided in the third embodiment of the present invention. Fig. 9 As shown, the device comprises:

[0076] The marine source rock core acquisition module 301 is used to acquire the marine source rock core of the area to be studied, and determine the well logging curve corresponding to the marine source rock core and the range of the layer where the marine source rock is developed;

[0077] The well logging identification plate construction module 302 is used to construct a marine source rock well logging identification plate based on the well logging curve and the layer section where the marine source rock is developed, wherein the marine source rock well logging identification plate at least includes the well logging parameter distribution of the upper source rock, the well logging parameter distribution of the middle source rock and the well logging parameter distribution of the lower source rock;

[0078] The marine source rock thickness determination module 303 is used to perform seismic inversion based on the marine source rock well logging identification data to obtain a two-dimensional inversion seismic profile, and determine the source rock thickness of the marine source rock based on the two-dimensional inversion seismic profile;

[0079] The source rock plane distribution prediction module 304 is used to determine the predicted marine source rock thickness plane distribution corresponding to the marine source rock in the study area according to the source rock thickness through seismic layer calibration, wherein the predicted marine source rock thickness plane distribution includes at least the upper source rock thickness plane distribution, the middle source rock thickness plane distribution and the lower source rock thickness plane distribution.

[0080] The technical solution of the embodiment of the present invention determines the development layer and lithology of marine source rock by observing the core of marine source rock and analyzing the logging response characteristics, determines the logging identification plate of marine source rock according to the logging curve response characteristics of marine source rock, and then inverts the logging identification plate of marine source rock to determine the thickness of marine source rock; finally, through the seismic layer calibration of drilling, the seismic response characteristics of marine source rock are determined, and then the planar distribution of marine source rock is determined. This method solves the problems of multiple solutions when directly using pseudo-sonic time difference curves for inversion or directly using seismic attributes to predict the distribution of marine source rock, and innovatively proposes to use the four-determination method to effectively predict the planar distribution of the thickness of marine source rock.

[0081] Optionally, the marine source rock core acquisition module 301 may also be used to:

[0082] Determining the logging curve response characteristics corresponding to the marine source rock according to the logging curve and the lithological characteristics of the marine source rock;

[0083] According to the logging curve response characteristics, the range of the layer section where the marine source rock in the area to be studied is determined. Optionally, the logging identification volume construction module 302 is specifically used to:

[0084] For each type of the logging curve, the logging curve is standardized to obtain a standard logging curve;

[0085] Based on the standard logging curve, determining the distribution range of logging parameters corresponding to each of the marine source rock layers;

[0086] Based on the distribution range of the logging parameters, the marine source rock logging identification plate is constructed. Optionally, the device further includes:

[0087] The inversion rationality determination module is used to project the well logging curve onto a two-dimensional inversion seismic profile; based on the two-dimensional inversion seismic profile and the well logging curve, determine the rationality of the inversion result. Optionally, the marine source rock thickness determination module 303 is also used to:

[0088] When the inversion result is unreasonable, the inversion parameters are adjusted and the seismic inversion is repeated.

[0089] Optionally, the source rock plane distribution prediction module 304 further includes:

[0090] A seismic phase characteristic determination unit, used for calibrating the seismic horizon of the area to be studied, obtaining the seismic response characteristics of the marine source rock, and determining the seismic phase characteristics of the marine source rock in the area to be studied based on the seismic response characteristics of the marine source rock;

[0091] The source rock thickness plane distribution prediction unit is used to determine the predicted marine source rock thickness plane distribution according to the source rock thickness and the seismic phase characteristics of the marine source rock.

[0092] Optionally, the source rock thickness plane distribution prediction unit is specifically used to:

[0093] Determining the planar distribution of the marine source rock according to the seismic phase characteristics and the planar distribution network model of the marine source rock;

[0094] According to the planar distribution of the marine source rock and the thickness of the marine source rock, the predicted planar distribution of the thickness of the marine source rock is obtained by performing linear interpolation processing on all two-dimensional seismic survey lines in the area to be studied.

[0095] The device for predicting the planar distribution of thickness of marine source rocks provided in an embodiment of the present invention can execute the method for predicting the planar distribution of thickness of marine source rocks provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0096] Embodiment 4

[0097] Fig.10 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0098] like Fig.10As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0099] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0100] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a method for predicting the planar distribution of the thickness of marine source rocks.

[0101] In some embodiments, the method for predicting the planar distribution of the thickness of marine source rocks may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for predicting the planar distribution of the thickness of marine source rocks described above may be executed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for predicting the planar distribution of the thickness of marine source rocks by any other appropriate means (e.g., by means of firmware).

[0102] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0103] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0104] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0105] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0106] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0107] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0108] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0109] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for predicting the planar distribution of thickness of marine source rocks, characterized in that: include: Obtaining a marine source rock core in the area to be studied, and determining the well logging curve corresponding to the marine source rock core and the range of the layer where the marine source rock is developed; Based on the well logging curve and the layer section where the marine source rock is developed, construct a marine source rock well logging identification quantity plate, wherein the marine source rock well logging identification quantity plate at least includes the well logging parameter distribution of the upper source rock, the well logging parameter distribution of the middle source rock and the well logging parameter distribution of the lower source rock; Conducting seismic inversion based on the marine source rock logging identification plate to obtain a two-dimensional inversion seismic profile, and determining the source rock thickness of the marine source rock based on the two-dimensional inversion seismic profile; Through seismic layer calibration, according to the thickness of the source rock, the predicted planar distribution of the marine source rock thickness corresponding to the marine source rock in the study area is determined, wherein the predicted planar distribution of the marine source rock thickness at least includes the planar distribution of the upper source rock thickness, the planar distribution of the middle source rock thickness and the planar distribution of the lower source rock thickness.

2. The method according to claim 1, characterized in that The determination of the range of the intervals where marine source rocks are developed includes: Determining the logging curve response characteristics corresponding to the marine source rock according to the logging curve and the lithological characteristics of the marine source rock; According to the logging curve response characteristics, the range of the layer section where the marine source rock in the area to be studied is determined.

3. The method according to claim 1, characterized in that The method of constructing a marine source rock logging identification plate based on the logging curve and the layer section where the marine source rock is developed includes: For each type of the logging curve, the logging curve is standardized to obtain a standard logging curve; Based on the standard logging curve, determining the distribution range of logging parameters corresponding to each of the marine source rock layers; Based on the distribution range of the logging parameters, the marine source rock logging identification plate is constructed.

4. The method according to claim 1, characterized in that: After performing seismic inversion based on the marine source rock logging identification plate to obtain a two-dimensional inversion seismic profile, the method further includes: Projecting the logging curve onto a two-dimensional inversion seismic section; Based on the two-dimensional inversion seismic profile and the logging curve, the rationality of the inversion result is determined.

5. The method according to claim 4, characterized in that After determining the rationality of the inversion result, the following steps are also included: When the inversion result is unreasonable, the inversion parameters are adjusted and the seismic inversion is repeated.

6. The method according to claim 1, characterized in that The method of determining the predicted planar distribution of the thickness of the marine source rock corresponding to the marine source rock in the area to be studied by seismic horizon calibration according to the thickness of the source rock includes: Calibrate the seismic horizon of the area to be studied to obtain the seismic response characteristics of the marine source rock, and determine the seismic phase characteristics of the marine source rock in the area to be studied based on the seismic response characteristics of the marine source rock; The predicted planar distribution of the thickness of the marine source rock is determined according to the thickness of the source rock and the seismic phase characteristics of the marine source rock.

7. The method according to claim 6, characterized in that The step of determining the predicted planar distribution of the thickness of the marine source rock according to the thickness of the source rock and the seismic phase characteristics of the marine source rock comprises: Determining the planar distribution of the marine source rock according to the seismic phase characteristics and the planar distribution network model of the marine source rock; According to the planar distribution of the marine source rock and the thickness of the marine source rock, the predicted planar distribution of the thickness of the marine source rock is obtained by performing linear interpolation processing on all two-dimensional seismic survey lines in the area to be studied.

8. A device for predicting the planar distribution of thickness of marine source rocks, characterized in that: include: A marine source rock core acquisition module is used to acquire the marine source rock core of the area to be studied, and determine the well logging curve corresponding to the marine source rock core and the range of the layer section where the marine source rock is developed; A well logging identification plate construction module is used to construct a marine source rock well logging identification plate based on the well logging curve and the layer section where the marine source rock is developed, wherein the marine source rock well logging identification plate at least includes the well logging parameter distribution of the upper source rock, the well logging parameter distribution of the middle source rock and the well logging parameter distribution of the lower source rock; A marine source rock thickness determination module, used to perform seismic inversion based on the marine source rock well logging identification plate to obtain a two-dimensional inversion seismic profile, and determine the source rock thickness of the marine source rock based on the two-dimensional inversion seismic profile; The module for predicting the planar distribution of source rocks is used to determine the predicted planar distribution of the thickness of marine source rocks corresponding to the marine source rocks in the study area according to the thickness of the source rocks through seismic horizon calibration, wherein the predicted planar distribution of the thickness of marine source rocks at least includes the planar distribution of the thickness of the upper source rocks, the planar distribution of the thickness of the middle source rocks and the planar distribution of the thickness of the lower source rocks.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for predicting the planar distribution of the thickness of marine source rocks as described in any one of claims 1-7.

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 a processor to implement the method for predicting the planar distribution of thickness of marine source rocks according to any one of claims 1 to 7 when executed.

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