Method and device for predicting hydrocarbon source rocks in passive land margin basin depression period

Abstract

The invention provides a method, a device, a medium and equipment for predicting high-quality hydrocarbon source rocks in a passive land margin basin depression period. The method comprises the following steps of: determining a region beneficial to the development of the hydrocarbon source rocks in the passive land margin basin depression period according to gravity or magnetic force abnormal data of a passive land margin basin and an adjacent region of the passive land margin basin; based on the interpretation of the seismic section, dividing a depression series formed in a passive land edge basin depression period, and determining the total settlement of the depression series; performing decompaction, paleo-water depth and load settlement correction on the depression series, and recovering the tectonic settlement from the total settlement of the depression series; according to the regional structure evolution background and age stratigraphic knowledge of the passive continental basin, defining the development time of the col series; calculating the settlement rate of the passive continental basin in the depression period according to the tectonic settlement amount and the development time; and predicting the quality and range of the hydrocarbon source rock according to the settlement rate and the region beneficial to the development of the hydrocarbon source rock. According to the method, the plane distribution of the high-quality hydrocarbon source rocks in the depression period can be quickly and effectively predicted.

Description

TECHNICAL FIELD

[0001] The present application is designed in the field of oil and gas exploration and development, and particularly relates to a prediction method and device for source rocks in a depression period of a passive continental margin basin. BACKGROUND

[0002] Source rocks are the material basis for oil and gas generation, and the prediction of their distribution is an important prerequisite for the selection of overseas basins and the evaluation of zones. In recent years, the prediction of source rock distribution in passive continental margin basins has attracted widespread attention, but most of the research is based on abundant well logging and geochemical data and is directed at faulted strata.

[0003] Deepwater exploration practices have confirmed that source rocks of high quality can also be developed in the depression strata formed in the depression period of a passive continental margin basin. However, how to quickly and effectively predict the distribution of source rocks of high quality in the depression period of a passive continental margin basin, especially when there is insufficient drilling and geochemical test data, is still a difficult problem faced by related academic fields and production lines and restricts the selection of overseas exploration strategies. Therefore, it is urgent to develop a new method for predicting source rocks of high quality in the depression period of a passive continental margin basin to make up for the lack of research on the prediction of source rocks of high quality in the depression period of a passive continental margin basin. SUMMARY

[0004] In view of the deficiencies of the prior art, in a first aspect, the present application provides a prediction method and device for source rocks in a depression period of a passive continental margin basin, the method comprising:

[0005] determining a region favorable to the development of source rocks in the depression period of the passive continental margin basin according to gravity or magnetic anomaly data of the passive continental margin basin and adjacent regions of the passive continental margin basin;

[0006] based on the interpretation of a seismic profile, dividing a depression strata formed in the depression period of the passive continental margin basin, and determining the total subsidence amount of the depression strata;

[0007] decompacting, paleo-water depth, and load subsidence correcting the depression strata, and recovering the tectonic subsidence amount from the total subsidence amount of the depression strata;

[0008] defining the development time of the depression strata according to the regional tectonic evolution background and chronostratigraphic understanding of the passive continental margin basin;

[0009] calculating the subsidence rate of the depression period of the passive continental margin basin according to the tectonic subsidence amount and the development time;

[0010] predicting the quality and range of source rocks in the region favorable to the development of source rocks according to the subsidence rate.

[0011] In some possible implementation manners, the method for determining a region favorable to development of source rocks in a sag period of a passive continental margin basin according to gravity or magnetic anomaly data of the passive continental margin basin and adjacent areas of the passive continental margin basin specifically comprises the following steps.

[0012] performing wavelet transform on gravity and magnetic anomaly data of the passive continental margin basin and adjacent areas of the passive continental margin basin, and determining a planar distribution of transform faults in the sag period of the passive continental margin basin according to a result of the wavelet transform;

[0013] determining a limited environment composed of an edge high and a land mass controlled by the transform faults in the sag period of the passive continental margin basin according to the planar distribution of the transform faults and a seismic profile, and determining a region favorable to development of source rocks according to the limited environment.

[0014] In some possible implementation manners, the method for performing wavelet transform on gravity and magnetic anomaly data of the passive continental margin basin and adjacent areas of the passive continental margin basin, and determining a planar distribution of transform faults in the sag period of the passive continental margin basin according to a result of the wavelet transform specifically comprises the following steps.

[0015] performing two-dimensional discrete wavelet transform on gravity and magnetic anomaly data of the passive continental margin basin and adjacent areas of the passive continental margin basin by using Daubechies 5 wavelet, and determining a primary planar distribution and a secondary planar distribution of transform faults in the sag period of the passive continental margin basin.

[0016] In some possible implementation manners, the method for recovering tectonic subsidence from total subsidence of the sag layer system by performing decompaction, paleo-water depth and load subsidence correction on the sag layer system specifically comprises the following steps.

[0017] performing decompaction on the sag layer system to obtain compaction subsidence, performing paleo-water depth and load subsidence correction on the sag layer system to obtain water depth variation and load subsidence, and removing the compaction subsidence, the water depth variation and the load subsidence from the total subsidence of the sag layer system to recover tectonic subsidence.

[0018] In some possible implementation manners, the tectonic subsidence is recovered by using the following formula:

[0019]

[0020] l=X o (ρ m -ρ s ) / (ρ m -ρ w )……………………………………………………………②

[0021] x=X o-(X2-X1) … … ③

[0022] s=S t -x-w-l … … ④

[0023] In formulae ①-④, φ o is the porosity of the sediment surface, C is the compaction coefficient, X o is the original sediment thickness of the depression layer system, X1 and X2 are the top and bottom depths of the depression layer system respectively, ρ m , ρ w and ρ s are the densities of the mantle, water and sediment respectively; S t is the total subsidence of the depression layer system, x is the compaction subsidence, w is the water depth change amount, l is the load subsidence, and s is the tectonic subsidence.

[0024] In some possible implementation manners, the development time of the depression layer system is determined according to the regional tectonic evolution background and the chronological stratigraphy of the passive continental margin basin, and specifically includes:

[0025] The geological ages of the top and bottom interfaces of the depression layer system of the passive continental margin basin are determined according to the regional tectonic evolution background and the chronological stratigraphy of the passive continental margin basin, and the development time of the depression layer system is determined according to the geological ages of the top and bottom interfaces of the depression layer system.

[0026] In some possible implementation manners, the quality and distribution range of the hydrocarbon source rock are predicted according to the subsidence rate and the region favorable to the development of the hydrocarbon source rock, and specifically includes:

[0027] The subsidence rate is compared with a preset subsidence rate range, and when the subsidence rate is located in the preset subsidence rate range, it is determined that high-quality hydrocarbon source rock is developed in the limited environment of the depression period of the passive continental margin basin.

[0028] The distribution range of the high-quality hydrocarbon source rock is determined.

[0029] In a second aspect, an embodiment of the present application provides a device for predicting hydrocarbon source rock in a depression period of a passive continental margin basin, and the device includes:

[0030] A determination module is configured to determine a region favorable to the development of hydrocarbon source rock in a depression period of a passive continental margin basin according to gravity or magnetic anomaly data of the passive continental margin basin and adjacent regions of the passive continental margin basin.

[0031] A division and determination module is configured to divide a depression layer system formed in a depression period of a passive continental margin basin based on interpretation of a seismic profile, and determine a total subsidence of the depression layer system.

[0032] a subsidence structure module, configured to perform decompaction, paleo-water depth and load subsidence correction on the depression layer system, and recover a tectonic subsidence amount from a total subsidence amount of the depression layer system;

[0033] a development time defining module, configured to define a development time of the depression layer system according to a regional tectonic evolution background and chronostratigraphy of the passive continental margin basin;

[0034] a subsidence rate calculating module, configured to calculate a subsidence rate of a depression period of the passive continental margin basin according to the tectonic subsidence amount and the development time;

[0035] a predicting module, configured to predict a quality and a range of the hydrocarbon source rock in the region favorable to development of the hydrocarbon source rock according to the subsidence rate.

[0036] In a third aspect, an embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the prediction method of the hydrocarbon source rock in a depression period of a passive continental margin basin according to any one of the first aspect.

[0037] In a fourth aspect, an embodiment of the present application provides an electronic device, which comprises:

[0038] a processor;

[0039] a memory for storing instructions executable by the processor;

[0040] The processor is configured to execute the instructions to implement the prediction method of the hydrocarbon source rock in a depression period of a passive continental margin basin according to any one of the first aspect.

[0041] The above technical solution has the following beneficial effects:

[0042] The present application provides a prediction method, device, medium and equipment of the hydrocarbon source rock in a depression period of a passive continental margin basin, which comprises: determining a region favorable to development of the hydrocarbon source rock in a depression period of a passive continental margin basin according to gravity or magnetic anomaly data of the passive continental margin basin and its adjacent region; dividing a depression layer system formed in the depression period of the passive continental margin basin based on interpretation of a seismic profile, and determining a total subsidence amount of the depression layer system; performing decompaction, paleo-water depth and load subsidence correction on the depression layer system, and recovering a tectonic subsidence amount from the total subsidence amount of the depression layer system; defining a development time of the depression layer system according to a regional tectonic evolution background and chronostratigraphy of the passive continental margin basin; calculating a subsidence rate of the depression period of the passive continental margin basin according to the tectonic subsidence amount and the development time; and predicting a quality and a range of the hydrocarbon source rock in the region favorable to development of the hydrocarbon source rock according to the subsidence rate. The present application can quickly and effectively predict the planar distribution of high-quality hydrocarbon source rock in the depression period.

[0043] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the description, claims, and drawings. Attached Figure Description

[0044] Figure 1 This is a flowchart of a passive method for predicting hydrocarbon source rocks during the depression period of a continental margin basin, according to an embodiment of the present invention.

[0045] Figure 2 This is a planar distribution map of the transform faults in the A-depression period of a passive continental margin basin, identified based on magnetic anomaly data, according to an embodiment of the present invention.

[0046] Figure 3 This is an embodiment of the present invention. Figure 2 A schematic diagram of the marginal highlands controlled by the first-order transform fault I and the confined environment formed by the landmass;

[0047] Figure 4 This is a schematic diagram of tectonic subsidence during the A-depression period of a passive continental margin basin according to an embodiment of the present invention;

[0048] Figure 5 This is a planar distribution map of the transform faults in the passive continental margin basin during the B-depression period, identified based on magnetic anomaly data, according to an embodiment of the present invention.

[0049] Figure 6 This is an embodiment of the present invention. Figure 5 A schematic diagram of the marginal highlands controlled by the activity of the first-order transform fault II and the confined environment formed by the landmass;

[0050] Figure 7 This is a schematic diagram of tectonic subsidence during the B-depression period of a passive continental margin basin according to an embodiment of the present invention.

[0051] Figure 8 This is a flowchart of a passive method for predicting hydrocarbon source rocks during the depression period of a continental margin basin, according to an embodiment of the present invention.

[0052] Figure 9 This is a functional block diagram of a computer-readable storage medium according to an embodiment of the present invention;

[0053] Figure 10 This is a functional block diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0054] The present invention will be further described below with reference to the embodiments. However, the embodiments of the present invention are merely illustrative examples and should not be construed as limiting the present invention under any circumstances.

[0055] Example 1

[0056] Figure 1 This is a flowchart of a passive continental margin basin depression-stage hydrocarbon source rock prediction method according to an embodiment of the present invention, such as... Figure 1 As shown, the prediction method includes the following steps:

[0057] Step S11: Based on gravity or magnetic anomaly data of the passive continental margin basin and its adjacent areas, determine the regions favorable for source rock development during the subsidence period of the passive continental margin basin.

[0058] Step S12: Based on the interpretation of the seismic profile, delineate the subsidence strata formed during the passive continental margin basin subsidence period and determine the total subsidence of the subsidence strata.

[0059] Step S13: Decompact the subsidence strata, correct the paleowater depth and load settlement, and recover the tectonic settlement from the total settlement of the subsidence strata.

[0060] Step S14: Based on the regional tectonic evolution background and chronostratigraphic understanding of passive continental margin basins, define the development time of the depression strata.

[0061] Step S15: Calculate the subsidence rate of the passive continental margin basin during the subsidence period based on the tectonic subsidence amount and development time; specifically, calculate the subsidence rate of the passive continental margin basin during the subsidence period based on v = s / t, where s is the tectonic subsidence amount and t is the development time of the subsidence strata.

[0062] Step S16: Based on the settling rate, predict the quality and extent of source rocks in areas conducive to source rock development.

[0063] This invention, through defining the confined environment during the subsidence period and restoring the subsidence rate during the subsidence period, predicts the quality and distribution range of high-quality source rocks during the subsidence period. This enables rapid and effective prediction of the planar distribution of high-quality source rocks during the subsidence period, even in passive continental margin basins with limited seismic and well logging data. It fills the gaps in current research on the prediction of the distribution of high-quality source rocks during the subsidence period in passive continental margin basins, overcomes the shortcomings of existing technologies, and thus strongly supports the selection of overseas strategic areas and the evaluation of new projects.

[0064] In some embodiments, step S11 specifically includes: performing wavelet transform on gravity and magnetic anomaly data of the passive continental margin basin and its adjacent areas, and characterizing the planar distribution of the transform faults during the subsidence period of the passive continental margin basin based on the wavelet transform results; specifically, using gravity and magnetic anomaly data of the passive continental margin basin and its adjacent areas, selecting the Daubechies5 wavelet to perform two-dimensional discrete wavelet transform, and characterizing the first-order and second-order planar distribution of the transform faults during the subsidence period of the passive continental margin basin.

[0065] Based on the planar distribution of transform faults and seismic profiles, the confined environment formed by the marginal highlands and continental blocks controlled by transform faults during the passive continental margin basin depression period is determined. Based on this confined environment, areas favorable for hydrocarbon source rock development are identified. Specifically, by integrating repetitive or magnetic anomaly data and seismic profiles, the confined environment formed by the marginal highlands and continental blocks controlled by transform faults during the passive continental margin basin depression period is characterized, and favorable areas for hydrocarbon source rock development are identified.

[0066] In some embodiments, step S13 specifically includes: decompacting the depression strata to obtain compaction settlement; correcting the depression strata for paleodepth and load settlement to obtain water depth change and load settlement; and removing compaction settlement, water depth change, and load settlement from the total settlement of the depression strata to recover the tectonic settlement. Specifically, using drilling data, decompacting (Formula ①) and correcting for paleodepth and load settlement (Formula ②) are performed on the depression strata to recover the tectonic settlement from the total settlement S13. t After removing the compaction settlement x (Formula ③), water depth change w, and load settlement l, the structural settlement s (Formula ④) is recovered.

[0067]

[0068] l = X o (ρ m -ρ s ) / (ρ m -ρ w )……………………………………………………………②

[0069] x = X o -(X2-X1)………………………………………………………………③

[0070] s = S t -xwl……………………………………………………………………④

[0071] In equations ①-④, φ o Where C is the surface porosity of the sediment, and X is the compaction coefficient. o ρ represents the original sedimentary thickness of the depression strata, X1 and X2 are the top and bottom depths of the depression strata, respectively. m ρ w and ρ s These are mantle density, water density, and sediment density, respectively; S t denoted as the total settlement of the depression strata, x as the compaction settlement, w as the water depth change, l as the load settlement, and s as the tectonic settlement.

[0072] In some embodiments, step S14 specifically includes: determining the geological age of the top and bottom interfaces of the depression system in the passive continental margin basin based on the regional tectonic evolution background and chronostratigraphic understanding of the passive continental margin basin, and determining the development time t of the depression system based on the geological age of the top and bottom interfaces of the depression system.

[0073] In some embodiments, step S16 specifically includes: comparing the subsidence rate with a preset subsidence rate range; when the subsidence rate is within the preset subsidence rate range, it is determined that high-quality source rocks are developed within the confined environment of the passive continental margin basin during the subsidence period; and predicting the distribution range of high-quality source rocks based on areas favorable for source rock development. Specifically, the quality of source rocks developed during the subsidence period is determined based on the calculated subsidence rate v. For example, if the calculated subsidence rate is 56.6 m / Ma, combined with geological statistical laws, a subsidence rate range of 30-150 m / Ma is most favorable for the enrichment of organic matter. In this case, it can be determined that the area has high-quality source rocks. Combined with the area determined in step S12, the distribution range of high-quality source rocks can be determined.

[0074] Example 2

[0075] Taking passive continental margin basin A as an example, this paper illustrates the method for predicting high-quality source rocks:

[0076] S21. Using magnetic anomaly data from passive continental margin basin A and its adjacent areas, wavelet transform is performed to finely identify the planar distribution of first-order transform fault I and secondary transform faults, such as... Figure 2 As shown.

[0077] S22, combining magnetic anomaly data and seismic profiles, characterizes the marginal highlands controlled by the A-transform fault I in the passive continental margin basin and the confined environment formed by the block (e.g., Figure 3 As shown in the figure, areas favorable for the development of hydrocarbon source rocks are clearly identified.

[0078] S23: Based on seismic profile interpretation, the main unconformities were identified, stratigraphic infill patterns were analyzed, and the thickness of the A-depression strata in the passive continental margin basin was determined to be approximately 1000 km (e.g., Figure 3 and Figure 2 (AA')

[0079] S24: Using drilling data, decompaction, paleowater depth, and load settlement corrections were performed on the A-depression strata of the passive continental margin basin. The tectonic subsidence 's' was recovered from the total subsidence of the strata. The tectonic subsidence of the A-depression strata in the passive continental margin basin is approximately 3000 km² (e.g., ...). Figure 4 (As shown).

[0080] S25: Based on the regional tectonic evolution background and chronostratigraphic understanding of the passive continental margin basin, the geological ages of the top and bottom interfaces of the A-depression strata in the passive continental margin basin are 147 Ma and 200 Ma, respectively. Therefore, the development time t of the A-depression strata in the passive continental margin basin is determined to be approximately 53 Ma (e.g., Figure 3 (as shown);

[0081] S26: Based on v = s / t, the subsidence rate during the A-depression period of the passive continental margin basin is calculated to be 56.6 m / Ma (e.g., Figure 4 As shown), combined with geological statistical laws (the enrichment of organic matter is most favorable when the subsidence rate is 30-150 m / Ma), it is determined that high-quality source rocks were developed in the confined environment during the A-depression period of the passive continental margin basin. Combined with S22, it is predicted that within the confined environment formed by the marginal highlands and landmasses during the A-depression period of the passive continental margin basin ( Figure 1 The hydrocarbon source rock furnace in the middle has high-quality hydrocarbon source rocks.

[0082] Example 3

[0083] Taking passive continental margin basin B as an example, this paper specifically illustrates the prediction method for high-quality source rocks:

[0084] S31: Wavelet transform was performed on gravity anomaly data of passive continental margin basin A and its adjacent areas to finely characterize the planar distribution of first-order transform fault II and its secondary transform faults (e.g., Figure 5 (as shown);

[0085] S32: Combining gravity anomaly data and seismic profiles, it characterizes the passive continental margin basin B ( Figure 5 and Figure 6 (As shown) The marginal highlands controlled by the activity of the transform fault II and the confined environment formed by the landmass clearly define the areas conducive to the preservation of organic matter;

[0086] S33: Based on seismic profile interpretation, the main unconformity surfaces were identified, stratigraphic infill patterns were analyzed, and the thickness of the strata in the passive continental margin basin B depression was determined to be approximately 800m (e.g., Figure 6 and Figure 5 (as shown in BB');

[0087] S34: Using drilling data, decompaction, paleowater depth, and load settlement corrections were performed on the strata of the passive continental margin basin B. From the total settlement of the strata, the tectonic settlement 's' of the passive continental margin basin B was reconstructed to be approximately 2400 m (e.g., ...). Figure 7 (as shown);

[0088] S35: The geological ages of the top and bottom interfaces of the B-depression strata in the passive continental margin basin are 145 Ma and 173 Ma, respectively. Based on this, the development time t of the B-depression strata in the passive continental margin basin is determined to be approximately 28 Ma (e.g., Figure 6 (as shown);

[0089] S36: Based on v = s / t, the subsidence rate during the B-stage (deep-water subsidence layer) of the passive continental margin basin is calculated to be 85.7 m / Ma (e.g., Figure 7 As shown), combined with geological statistical laws (the enrichment of organic matter is most favorable when the subsidence rate is between 30-150 m / Ma), it is determined that high-quality source rocks were developed in the confined environment of the passive continental margin basin during the B-depression period. Combined with step 2, it is predicted that within the confined environment formed by the marginal highlands and landmasses of the passive continental margin basin during the B-depression period ( Figure 5 The source rocks in the reservoir are of high quality.

[0090] Example 4

[0091] Figure 8 This is a structural block diagram of a passive continental margin basin depression-stage hydrocarbon source rock prediction device according to an embodiment of the present invention, as shown below. Figure 8 As shown, the device includes:

[0092] The determination module 110 is used to determine the areas favorable for the development of source rocks during the depression period of the passive continental margin basin based on gravity or magnetic anomaly data of the passive continental margin basin and its adjacent areas.

[0093] The determination module 110 performs wavelet transform on gravity and magnetic anomaly data of the passive continental margin basin and its adjacent areas. Based on the wavelet transform results, it characterizes the planar distribution of transform faults during the subsidence period of the passive continental margin basin. Specifically, the determination module 110 uses gravity and magnetic anomaly data of the passive continental margin basin and its adjacent areas, selects the Daubechies5 wavelet for two-dimensional discrete wavelet transform, and characterizes the first-order and second-order planar distributions of transform faults during the subsidence period of the passive continental margin basin. Based on the planar distribution of transform faults and seismic profiles, it determines the confined environment formed by the marginal highlands and landmasses controlled by the transform faults during the subsidence period of the passive continental margin basin, and identifies areas favorable for hydrocarbon source rock development based on this confined environment. Specifically, by combining gravity and magnetic anomaly data and seismic profiles, it characterizes the confined environment formed by the marginal highlands and landmasses controlled by the transform faults during the subsidence period of the passive continental margin basin, and clarifies favorable areas for hydrocarbon source rock development.

[0094] The division and determination module 120 is used to divide the subsidence strata formed during the subsidence period of the passive continental margin basin based on the interpretation of seismic profiles, and to determine the total subsidence of the subsidence strata.

[0095] Specifically, the division and determination module 120, based on the interpretation of seismic profiles, identifies the main unconformities, analyzes the stratigraphic filling patterns, divides the subsidence strata formed during the passive continental margin basin subsidence period, and determines the total subsidence of the subsidence strata.

[0096] The settlement structure module 130 is used to decompact the subsidence strata, correct the paleowater depth and load settlement, and recover the tectonic settlement from the total settlement of the subsidence strata.

[0097] The subsidence structure module 130 decompacts the subsidence strata to obtain compaction settlement; it corrects the subsidence strata for paleodepth and load settlement to obtain water depth variation and load settlement; and it removes compaction settlement, water depth variation, and load settlement from the total subsidence strata to recover the structural subsidence. Specifically, using drilling data, the subsidence strata are decompacted (Formula ①), and corrected for paleodepth and load settlement (Formula ②) is obtained, and the structural subsidence is recovered from the total subsidence S. t After removing the compaction settlement x (Formula ③), water depth change w, and load settlement l, the structural settlement s (Formula ④) is recovered.

[0098]

[0099] l = X o (ρ m -ρ s ) / (ρ m -ρ w )……………………………………………………………②

[0100] x = X o -(X2-X1)………………………………………………………………③

[0101] s = S t -xwl……………………………………………………………………④

[0102] In equations ①-④, φ o Where C is the surface porosity of the sediment, and X is the compaction coefficient. o ρ represents the original sedimentary thickness of the depression strata, X1 and X2 are the top and bottom depths of the depression strata, respectively. m ρ w and ρ s These are mantle density, water density, and sediment density, respectively; S t denoted as the total settlement of the depression strata, x as the compaction settlement, w as the water depth change, l as the load settlement, and s as the tectonic settlement.

[0103] The development time definition module 140 is used to define the development time of the depression strata based on the regional tectonic evolution background and chronostratigraphic understanding of the passive continental margin basin.

[0104] The development time definition module 140 determines the geological age of the top and bottom interfaces of the depression strata in the passive continental margin basin based on the regional tectonic evolution background and chronostratigraphic understanding of the passive continental margin basin, and determines the development time t of the depression strata based on the geological age of the top and bottom interfaces of the depression strata.

[0105] Subsidence rate calculation module 150 is used to calculate the subsidence rate of a passive continental margin basin during the subsidence period based on tectonic subsidence and development time.

[0106] The subsidence rate calculation module 150 calculates the subsidence rate during the subsidence period of a passive continental margin basin based on v = s / t, where s is the tectonic subsidence amount and t is the development time of the subsidence strata.

[0107] Prediction module 160 is used to predict the quality and extent of source rocks in areas conducive to source rock development based on the settling rate.

[0108] Specifically, the prediction module 160 determines the quality of source rocks developed during the subsidence period based on the calculated subsidence rate v. For example, if the calculated subsidence rate is 56.6 m / Ma, and considering geological statistical laws, a subsidence rate range of 30-150 m / Ma is most favorable for the enrichment of organic matter. In this case, it can be determined that the area has high-quality source rocks. Combined with the area determined in step S12, the distribution range of high-quality source rocks can be determined.

[0109] This invention discloses a passive continental margin basin depression-stage hydrocarbon source rock prediction device. It comprehensively utilizes wavelet transform-based gravity and magnetic anomaly data to characterize the distribution of transform faults and the confined environment conducive to hydrocarbon source rock development formed by the marginal highlands and continental blocks during the depression stage. Seismic and drilling data are used to delineate depression strata, and the subsidence rate of these strata is recovered to determine the quality of hydrocarbon source rocks during the depression stage. This invention has a certain degree of universality; in passive continental margin basins with limited seismic and drilling data and a lack of geochemical testing data, it can semi-quantitatively and rapidly predict the distribution of high-quality hydrocarbon source rocks during the depression stage, providing strong support for strategic site selection in overseas exploration and possessing significant theoretical and applied value.

[0110] Example 5

[0111] Figure 9 This is a functional block diagram of a computer-readable storage medium according to an embodiment of the present invention. Figure 9 As shown, this embodiment of the invention also provides a computer-readable storage medium 300, which stores a computer program 310. When the computer program 310 is executed by a processor, it implements:

[0112] Based on gravity or magnetic anomaly data of the passive continental margin basin and its adjacent areas, determine the regions favorable for hydrocarbon source rock development during the depression period of the passive continental margin basin.

[0113] Based on the interpretation of the seismic profile, the depression strata formed during the depression period of the passive continental margin basin were delineated, and the total subsidence of the depression strata was determined.

[0114] The tectonic settlement was recovered from the total settlement of the tectonic layers by decompaction, paleowater depth and load settlement correction.

[0115] Based on the regional tectonic evolution background and chronostratigraphic understanding of the passive continental margin basin, the development time of the depression strata is defined;

[0116] The subsidence rate during the depression period of the passive continental margin basin is calculated based on the tectonic subsidence amount and the development time.

[0117] Based on the aforementioned settling rate, the quality and extent of source rocks in the regions favorable for source rock development are predicted.

[0118] Figures 1 to 7 If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. Of course, there are other types of readable storage media, such as quantum memories, graphene memories, etc. It should be noted that the content contained in the computer-readable medium may be appropriately added to or subtracted from the content as required by the legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium may not include electrical carrier signals and telecommunication signals.

[0119] Example 6

[0120] Figure 10 This is a functional block diagram of an electronic device according to an embodiment of the present invention. The present invention also provides an electronic device, please refer to... Figure 10At the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and memory. The memory may include main memory, such as high-speed random-access memory (RAM), or non-volatile memory, such as at least one disk drive. Of course, the electronic device may also include other hardware required for other business operations.

[0121] The processor, network interface, and memory can be interconnected via an internal bus, which can be an industry-standard architecture ISA bus, a peripheral component interconnect standard PCI bus, or an extended industry-standard architecture EISA bus, etc. This bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 10 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0122] Memory is used to store programs. Specifically, programs may include program code, which includes computer operation instructions. Memory may include main memory and non-volatile memory, and provides instructions and data to the processor. The processor reads the corresponding computer program from non-volatile memory into main memory and then runs it, forming a centralized configuration-based automated disaster recovery system at the logical level. The processor executes the program stored in memory and is specifically used to perform... Figures 1 to 7 The illustrated embodiment reveals a method for predicting high-quality source rocks during the passive continental margin basin subsidence period.

[0123] The above are as follows Figures 1 to 7The method for predicting high-quality hydrocarbon source rocks during the passive continental margin basin subsidence period disclosed in the illustrated embodiment can be applied to or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by integrated logic circuits in the processor's hardware or by instructions in software form. The 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, or discrete hardware components. It can implement or execute the methods, steps, and logic diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this invention can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method.

[0124] Of course, besides software implementation, the electronic device of the present invention does not exclude other implementation methods, such as logic devices or a combination of hardware and software, etc. That is to say, the execution entity of the following processing flow is not limited to individual logic units, but can also be hardware or logic devices. The systems, devices, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer can be, for example, a personal computer, a laptop computer, an in-vehicle human-machine interaction device, a cellular phone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or any combination of these devices.

[0125] While this invention provides the method operation steps as described in the embodiments or flowcharts, more or fewer operation steps may be included based on conventional or non-inventive means. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only execution order. In actual devices or terminal products, the methods shown in the embodiments or drawings can be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even a distributed data processing environment).

[0126] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus, and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0127] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0128] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 Figure 1 The steps of the function specified in one or more boxes.

[0129] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0130] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, electronic devices, and readable storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0131] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.

Claims

1. A method for predicting hydrocarbon source rocks during the passive continental margin basin subsidence period, characterized in that, The method includes: Based on gravity or magnetic anomaly data of the passive continental margin basin and its adjacent areas, determine the regions favorable for hydrocarbon source rock development during the depression period of the passive continental margin basin. Based on the interpretation of the seismic profile, the depression strata formed during the depression period of the passive continental margin basin were delineated, and the total subsidence of the depression strata was determined. The tectonic settlement was recovered from the total settlement of the tectonic layers by decompaction, paleowater depth and load settlement correction. Based on the regional tectonic evolution background and chronostratigraphic understanding of the passive continental margin basin, the development time of the depression strata is defined; The subsidence rate during the depression period of the passive continental margin basin is calculated based on the tectonic subsidence amount and the development time. Based on the aforementioned settling rate, the quality and extent of source rocks in the region favorable for source rock development are predicted.

2. The method according to claim 1, characterized in that, The determination of areas favorable for hydrocarbon source rock development during the subsidence period of a passive continental margin basin, based on gravity or magnetic anomaly data of the passive continental margin basin and its adjacent areas, specifically includes: Wavelet transform is performed on gravity and magnetic anomaly data of passive continental margin basins and their adjacent areas to identify the planar distribution of transform faults during the depression period of the passive continental margin basins. Based on the planar distribution of the transform faults and the seismic profiles, the confined environment formed by the marginal highlands and continental blocks controlled by the transform faults during the passive continental margin basin depression period is characterized, and the areas favorable for the development of source rocks are determined based on the confined environment.

3. The method according to claim 2, characterized in that, The aforementioned wavelet transform of gravity and magnetic anomaly data of passive continental margin basins and their adjacent areas, and the depiction of the planar distribution of transform faults during the subsidence period of the passive continental margin basins based on the wavelet transform results, specifically includes: Using gravity and magnetic anomaly data of the passive continental margin basin and its adjacent areas, a two-dimensional discrete wavelet transform was performed using the Daubechies5 wavelet to characterize the first-order and second-order planar distributions of the transform faults during the depression period of the passive continental margin basin.

4. The method according to claim 1, characterized in that, The aforementioned decompaction, paleowater depth, and load settlement correction of the depression strata, to recover the tectonic settlement from the total settlement of the depression strata, specifically includes: The compaction settlement is obtained by decompacting the subsidence strata. Paleowater depth and load settlement corrections were performed on the depression strata to obtain water depth changes and load settlements; The tectonic settlement is recovered by removing the compaction settlement, water depth variation, and load settlement from the total settlement of the depression strata.

5. The method according to claim 4, characterized in that, The tectonic settlement can be recovered using the following formula: l=X o (r m -r s ) / (ρ m -r w )………………………………………………………………② x=X o -(X2-X1)……………………………………………………………………③ s=S t -x-w-l………………………………………………………………………④ In equations ①-④, φ o Where C is the surface porosity of the sediment, and X is the compaction coefficient. o ρ represents the original sedimentary thickness of the depression strata, X1 and X2 are the top and bottom depths of the depression strata, respectively. m ρ w and ρ s These represent mantle density, water density, and sediment density, respectively. t denoted as the total settlement of the depression strata, x as the compaction settlement, w as the water depth change, l as the load settlement, and s as the tectonic settlement.

6. The method according to claim 1, characterized in that, The determination of the development time of the depression strata based on the regional tectonic evolution background and chronostratigraphic understanding of the passive continental margin basin specifically includes: Based on the regional tectonic evolution background and chronostratigraphic understanding of the passive continental margin basin, the geological age of the top and bottom interfaces of the depression strata in the passive continental margin basin is determined, and the development time of the depression strata is determined based on the geological age of the top and bottom interfaces of the depression strata.

7. The method according to claim 1, characterized in that, Based on the aforementioned settling rate, the quality and distribution range of source rocks in areas favorable for source rock development are predicted, specifically including: The subsidence rate is compared with a preset subsidence rate range. When the subsidence rate is within the preset subsidence rate range, it is determined that high-quality source rocks are developed in the confined environment during the subsidence period of the passive continental margin basin. Determine the distribution range of the high-quality source rocks.

8. A device for predicting hydrocarbon source rocks during the passive continental margin basin subsidence period, characterized in that, The device includes: The determination module is used to determine areas favorable for hydrocarbon source rock development during the depression period of a passive continental margin basin based on gravity or magnetic anomaly data of the passive continental margin basin and its adjacent areas. The division and determination module is used to divide the depression strata formed during the depression period of the passive continental margin basin based on the interpretation of seismic profiles, and to determine the total subsidence of the depression strata. The settlement structure module is used to perform decompaction, paleowater depth and load settlement correction on the depression strata, and recover the tectonic settlement from the total settlement of the depression strata. The development time definition module is used to define the development time of the depression strata based on the regional tectonic evolution background and chronostratigraphic understanding of the passive continental margin basin. A subsidence rate calculation module is used to calculate the subsidence rate of the passive continental margin basin during the subsidence period based on the tectonic subsidence amount and the development time. The prediction module is used to predict the quality and extent of source rocks in the region conducive to the development of source rocks based on the settling rate.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the method for predicting source rocks during the passive continental margin basin depression period as described in any one of claims 1-7.

10. An electronic device, characterized in that, It includes: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the method for predicting source rocks in the passive continental margin basin depression period as described in any one of claims 1-7.

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