Method and device for predicting active hydrocarbon source rock distribution of passive land edge basin marine facies

Abstract

The invention discloses a passive land edge basin marine facies effective hydrocarbon source rock distribution prediction method and device, and relates to the technical field of oil and gas geology, and the method comprises the steps: dividing the main development tectonic evolution stages of passive land edge basin hydrocarbon source rocks based on the tectonic background of a passive land edge basin; based on existing earthquake and drilling data, analyzing seismic facies characteristics corresponding to sedimentary facies in each tectonic evolution stage, and judging a favorable seismic facies distribution range of passive trailing basin hydrocarbon source rocks; on the basis of a passive land edge basin earth heat flow background and a basin thermal evolution history, hydrocarbon source rock maturation history simulation is carried out, basin hydrocarbon source rock hydrocarbon generation evolution characteristics are analyzed, and passive land edge basin hydrocarbon source kitchen distribution is predicted; based on a marine facies hydrocarbon source rock development mode and control factors, seismic facies identification and distribution laws and marine facies hydrocarbon source kitchen distribution laws are facilitated, and distribution of passive trailing edge basin marine facies effective hydrocarbon source rocks is predicted. According to the prediction method, the problems of high cost and high difficulty of the existing passive land edge basin marine facies effective hydrocarbon source rock prediction are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas geology, and more specifically to a method and device for predicting the distribution of marine effective hydrocarbon source rocks in a passive continental margin basin. Background Art

[0002] At present, marine source rocks are mainly developed in the continental margin basins in the sea-continent transition zone. The stability of the geological environment and the diversity of the sedimentary environment often lead to the formation of various types of source rocks and reservoir combinations, and the potential for oil and gas exploration is huge.

[0003] The Chinese invention patent with the publication number CN118534535A discloses a method and device for predicting the spatial distribution of target source rocks, the method comprising: obtaining the superimposed seismic data of source rock layers in the target exploration area, the spatial distribution of source rocks, and establishing at least one geological model according to the geological background information of the target exploration area and the seismic data; establishing the first lithology density curve in the spatial distribution of source rocks for each geological model according to at least one geological model and the spatial distribution of source rocks; determining the target Chi angle according to the first lithology density curve and the superimposed seismic data; determining the second lithology density curve according to the target Chi angle; predicting the spatial distribution of target source rocks in the target exploration area according to the second lithology density curve. This technical solution realizes the calculation of relative density parameters without wells and the prediction of favorable source rocks in low exploration areas.

[0004] A Chinese invention patent with publication number CN110441813B discloses a method for predicting the development and distribution of lacustrine high-quality source rocks, the method comprising: restoring the ancient lake mode for the main source layer sections in the target area; determining the distribution range of shallow lakes, semi-deep lakes and deep lakes based on the deposition and / or-sedimentation center, ancient water depth distribution and wave base depth; dividing the sedimentary organic phase type of each single well based on the depositional environment, ancient lake mode, organic matter abundance and organic matter type; then determining the plane distribution range of the dominant phase belt; determining the vertical distribution range of high-quality source rocks using logging data; determining the lateral distribution changes of high-quality source rocks using seismic data; drawing the development distribution map of high-quality source rocks based on the plane distribution range of the dominant phase belt, the vertical distribution range of high-quality source rocks and the lateral distribution changes of high-quality source rocks; thereby obtaining the specific distribution of the lacustrine high-quality source rocks in the target area, that is, the prediction result of the distribution of lacustrine high-quality source rocks.

[0005] However, unlike onshore exploration, deepwater exploration is characterized by high cost and harsh drilling conditions. For the prediction of the formation and distribution of effective source rocks in basins, existing technologies often start with the use of drilling data and seismic data, ignoring the control of the tectonic background of passive continental margin basins on effective marine source rocks, and cannot well characterize the distribution range of effective source rocks. Summary of the invention

[0006] In view of this, the purpose of the present invention is to provide a method and device for predicting the distribution of effective marine source rocks in passive continental margin basins, so as to solve the technical problems of high cost and difficulty in predicting effective marine source rocks in passive continental margin basins.

[0007] To achieve the above objectives, the first objective of the present invention is to provide a method for predicting the distribution of marine effective source rocks in a passive continental margin basin, the prediction method comprising:

[0008] Step S1: based on the tectonic evolution background of the passive continental margin basin, the tectonic evolution stages of the main development of source rocks in the passive continental margin basin are divided;

[0009] Step S2: Based on the existing seismic data and drilling data, the seismic phase characteristics corresponding to the sedimentary phases in each tectonic evolution stage are analyzed to obtain the favorable seismic phase characteristics of the source rock, thereby determining the specific distribution range of the favorable seismic phase of the source rock in the passive continental margin basin;

[0010] Step S3: Based on the geothermal flow background and thermal evolution history of the passive continental margin basin, the source rock maturity history is simulated, the hydrocarbon generation evolution characteristics of the source rock in the basin are analyzed, and the distribution of source kitchens in the passive continental margin basin is predicted;

[0011] Step S4: Based on the development pattern and controlling factors of marine source rocks in passive continental margin basins, identification and distribution law of favorable seismic phases of source rocks, and distribution law of marine source kitchens, the distribution of effective marine source rocks in passive continental margin basins is predicted.

[0012] Preferably, in step S1, the main tectonic evolution stages of the source rock development include the rift stage, transition stage and drift stage.

[0013] Preferably, in step S1, the main tectonic evolution stages of source rocks in the passive continental margin basin are divided into:

[0014] Step S 11 :Based on the differences in the sedimentary environments of various sedimentary facies, using biomarker compound data and lithofacies paleogeographic background, we analyze the advantages and disadvantages of the preservation conditions for organic matter and how they control the development of high-quality source rocks;

[0015] Step S 12 :Based on the lithologic combination and logging data of a single well, the sedimentary facies of a single well are divided, and based on the geochemical data of a single well, the advantages and disadvantages of the geochemical data of each sedimentary facies are evaluated to obtain the sedimentary facies where high-quality source rocks are developed;

[0016] Step S 13:Combining the quality of source rocks in each sedimentary facies, the favorable sedimentary facies in each tectonic evolution stage are obtained, and the development pattern and main controlling factors of marine source rocks in passive continental margin basins are studied.

[0017] Preferably, in step S2, determining the specific distribution range of favorable seismic phases of source rocks in passive continental margin basins includes:

[0018] Step S 21 : Summarize the geological background of marine source rocks in passive continental margin basins, compare the tectonic evolution stages of source rock development, and determine the transition period and drift period of marine source rock development as the research stage;

[0019] Step S 22 :Study the development conditions of source rocks in transition and drift periods; wherein the development conditions include the source of organic matter and preservation conditions;

[0020] Step S 23 :Based on the development conditions of source rocks, the sedimentary facies of single wells are divided;

[0021] Step S 24 : Compare and analyze the geochemical data of different sedimentary facies of a single well to obtain the sedimentary facies of source rock development during the transition period and drift period;

[0022] Step S 25 :Based on the source of organic matter, water reducibility, organic matter quality and organic matter type, the sedimentary facies favorable for the development of source rocks are obtained.

[0023] Preferably, in step S3, the specific method for predicting the distribution of hydrocarbon source kitchens in passive continental margin basins includes:

[0024] When the oil and gas kitchen Ro is greater than 0.5% and less than 1.3%, the distribution of oil kitchens in passive continental margin basins is obtained;

[0025] When the oil and gas kitchen Ro is greater than 1.3%, the distribution of gas kitchens in the passive continental margin basin is obtained.

[0026] Preferably, in step S4, the specific contents of predicting the distribution of effective marine source rocks in passive continental margin basins include:

[0027] Step S 41 :To determine whether the passive continental margin basin has an environment that is favorable for the development of marine source rocks;

[0028] Step S 42 :To determine whether the passive continental margin basin has a distribution of seismic facies that is favorable for source rocks;

[0029] Step S 43 :To determine whether the passive continental margin basin has the distribution of marine source kitchens;

[0030] Step S 44 :When both step S are present 41 -S 43 When these three conditions are met, it is predicted that the passive continental margin basin is distributed with effective marine source rocks.

[0031] Preferably, in step S 41 The development environment of the marine source rock includes development mode and control factors; in step S 42 Among them, the distribution of the seismic phases of the source rock includes favorable seismic phase identification and distribution rules.

[0032] The second object of the present invention is to provide a prediction device for the distribution of marine effective source rocks in a passive continental margin basin, the prediction device comprising:

[0033] A division module, for dividing the main tectonic evolution stages of source rock development in the passive continental margin basin according to the tectonic evolution background of the passive continental margin basin;

[0034] The judgment module is used to analyze the seismic phase characteristics corresponding to the sedimentary phases in each tectonic evolution stage based on the existing seismic data and drilling data, and obtain the favorable seismic phase characteristics of the source rock, so as to judge the specific distribution range of the favorable seismic phase of the source rock in the passive continental margin basin;

[0035] The hydrocarbon source kitchen distribution prediction module is used to simulate the maturity history of source rocks, analyze the hydrocarbon generation evolution characteristics of source rocks in the basin, and predict the distribution of hydrocarbon source kitchens in the passive continental margin basin based on the geothermal flow background and thermal evolution history of the basin;

[0036] The source rock distribution prediction module is used to predict the distribution of effective marine source rocks in passive continental margin basins based on the development pattern and controlling factors of marine source rocks in passive continental margin basins, the identification and distribution law of favorable seismic phases of source rocks, and the distribution law of marine source kitchens.

[0037] A third object of the present invention is to provide an electronic device, comprising:

[0038] at least one processor; and

[0039] 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 above-mentioned method for predicting the distribution of marine effective source rocks in passive continental margin basins.

[0040] The fourth object of the present invention is to provide a computer-readable storage medium, which stores computer instructions, and the computer instructions are used to implement the above-mentioned method for predicting the spatial distribution of a target hydrocarbon source rock when executed by a processor.

[0041] Compared with the prior art, the present invention has the following advantages and effects:

[0042] 1. The method for predicting the distribution of effective marine source rocks in passive continental margin basins of the present invention comprises: dividing the main tectonic evolution stages of source rocks in the passive continental margin basins based on the tectonic evolution background of the passive continental margin basins; analyzing the seismic phase characteristics corresponding to the sedimentary phases in each tectonic evolution stage based on the existing seismic data and drilling data, and obtaining the favorable seismic phase characteristics of source rocks, thereby determining the specific distribution range of favorable seismic phases of source rocks in the passive continental margin basins; simulating the maturity history of source rocks based on the geothermal flow background and the thermal evolution history of the passive continental margin basins, analyzing the hydrocarbon generation evolution characteristics of source rocks in the basins, and predicting the distribution of source kitchens in the passive continental margin basins; predicting the distribution of effective marine source rocks in the passive continental margin basins based on the development mode and controlling factors of marine source rocks in the passive continental margin basins, the identification and distribution law of favorable seismic phases of source rocks, and the distribution law of marine source kitchens. By making full use of drilling data, geochemical data, seismic data, tectonic paleogeographic data and other foundations, and through mutual verification, we have overcome the inaccuracy of using only partial data to divide the distribution of effective source rocks in low-exploration areas in the past, and achieved the prediction of the distribution of effective marine source rocks in passive continental margin basins, providing a basis for exploration potential evaluation and exploration deployment in passive continental margin basins.

[0043] 2. Based on the research on the formation process and development of effective marine source rocks in the confirmed passive continental margin basins, the present invention specifically proposes prediction and evaluation criteria in three aspects: development mode and controlling factors of marine source rocks in passive continental margin basins, identification and distribution law of favorable seismic phases of source rocks, and distribution of marine source kitchens. Corresponding evaluation rules are established to provide a more scientific method for predicting the distribution of effective marine source rocks in passive continental margin basins. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic diagram of a flow chart of a method for predicting the distribution of marine effective source rocks in a passive continental margin basin in an embodiment of the present invention;

[0045] Figure 2 This is a specific flow chart of step S1 in an embodiment of the present invention;

[0046] Figure 3 This is a schematic diagram of a specific process of step S2 in an embodiment of the present invention;

[0047] Figure 4Schematic diagram of the distribution characteristics of biomarkers in different sedimentary phases during the transition period and drift period of a passive continental margin basin in an embodiment of the present invention;

[0048] Figure 5 This is a schematic diagram of well-seismic comparison in the transition period of a passive continental margin basin in an embodiment of the present invention;

[0049] Figure 6 It is a simulation of the typical single well maturity history in the transition period and drift period of the passive continental margin basin in the embodiment of the present invention;

[0050] Figure 7 It is a schematic diagram of the simulation of the typical single well maturity history in the transition period and drift period of a passive continental margin basin in an embodiment of the present invention;

[0051] Figure 8 1 is a schematic diagram of the structure of a prediction device for the distribution of marine effective source rocks in a passive continental margin basin provided in accordance with an embodiment of the present invention;

[0052] Fig. 9 It is a schematic diagram of the structure of an electronic device for implementing the method for predicting the distribution of effective marine source rocks in a passive continental margin basin according to an embodiment of the present invention. DETAILED DESCRIPTION

[0053] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. 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 are within the scope of protection of the present invention.

[0054] In addition, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus that includes a series of steps or elements is not necessarily limited to those steps or elements explicitly listed, but may include other steps or elements not explicitly listed or inherent to such process, method, product, or apparatus.

[0055] See also Figure 1-7 As shown, an embodiment of the present invention provides a method for predicting the distribution of marine effective source rocks in a passive continental margin basin, the prediction method comprising:

[0056] Step S1: based on the tectonic evolution background of the passive continental margin basin, the tectonic evolution stages of the main development of source rocks in the passive continental margin basin are divided;

[0057] Step S2: Based on the existing seismic data and drilling data, the seismic phase characteristics corresponding to the sedimentary phases in each tectonic evolution stage are analyzed to obtain the favorable seismic phase characteristics of the source rock, thereby determining the specific distribution range of the favorable seismic phase of the source rock in the passive continental margin basin;

[0058] Step S3: Based on the geothermal flow background and thermal evolution history of the passive continental margin basin, the source rock maturity history is simulated, the hydrocarbon generation evolution characteristics of the source rock in the basin are analyzed, and the distribution of source kitchens in the passive continental margin basin is predicted;

[0059] Step S4: Based on the development pattern and controlling factors of marine source rocks in passive continental margin basins, identification and distribution law of favorable seismic phases of source rocks, and distribution law of marine source kitchens, the distribution of effective marine source rocks in passive continental margin basins is predicted.

[0060] Therefore, the present invention firstly obtains the sedimentary phases with favorable source rock development by analyzing and judging the rich organic matter source, strong water body reducing property, medium-very good organic matter quality, and organic matter type mainly of type II I; by identifying the seismic characteristics, combining the lithological paleogeographic background, and analyzing whether the lithology corresponding to the seismic is the above-mentioned favorable sedimentary corresponding lithology combination, the type of favorable sedimentary phase corresponding to the seismic is classified as the favorable seismic phase; by analyzing and judging the oil and gas kitchen Ro greater than 0.5% and less than 1.3%, the distribution of oil generation kitchens in the passive continental margin basin is obtained; by analyzing and judging the oil and gas kitchen Ro greater than 1.3%, the distribution of gas generation kitchens in the passive continental margin basin is obtained; finally, based on the development mode and controlling factors of marine source rocks in the passive continental margin basin, the identification and distribution law of favorable seismic phases of source rocks, and the prediction of the distribution of marine source kitchens, the distribution range of the effective marine source rocks in the passive continental margin basin of this embodiment can be accurately predicted.

[0061] It needs to be explained that the passive continental margin basin is a basin distributed on the passive continental margin, also known as the Atlantic continental margin basin. It is a broad zone transitioning from the continent to the ocean, with a stable crust. It mainly forms sandy clay formations, quartzite formations and limestone formations. It is formed by the continued expansion, gradual opening and widening of the continental margin or intercontinental rift.

[0062] Optionally, in step S1, the main tectonic evolution stages of the source rock development include the rift period, transition period and drift period.

[0063] In the embodiments of the present invention, the passive continental margin extensional basin has always been regarded as the representative of the passive continental margin. It is generally believed that its formation is related to the opening of the Atlantic Ocean and has undergone a transformation from a continental rift to an ocean. Therefore, its evolution is divided into three stages: rift period (continental rift) - transition period (Red Sea type - narrow ocean type) - drift period. Among them, the continental rift stage is generally dominated by fluvial-lake clastic rock or volcanic clastic rock deposits; the Red Sea type rift is mainly characterized by evaporite deposits; during the narrow ocean period, due to the disappearance of the rift shoulder, the debris can be transported to the deep sea basin, thereby forming interlayers of turbidite and semi-pelagic sediments in the deep water area; during the drift period, thick turbidite and flat deposits characterized by fine bedding are mainly formed on the land base.

[0064] Optionally, in step S1, the main tectonic evolution stages of source rocks in the passive continental margin basin are divided into:

[0065] Step S 11 :Based on the differences in the sedimentary environments of various sedimentary facies, using biomarker compound data and lithofacies paleogeographic background, we analyze the advantages and disadvantages of the preservation conditions for organic matter and how they control the development of high-quality source rocks;

[0066] In this step, the sedimentary environment of each sedimentary phase can be mainly studied by utilizing the differences in the composition and enrichment of trace elements in seawater under different redox conditions, and using their mass fractions and related ratios to study the redox degree of the sedimentary environment.

[0067] Step S 12 :Based on the lithologic combination and logging data of a single well, the sedimentary facies of a single well are divided, and based on the geochemical data of a single well, the advantages and disadvantages of the geochemical data of each sedimentary facies are evaluated to obtain the sedimentary facies where high-quality source rocks are developed;

[0068] Step S 13 :Combining the quality of source rocks in each sedimentary facies, the favorable sedimentary facies in each tectonic evolution stage are obtained, and the development pattern and main controlling factors of marine source rocks in passive continental margin basins are studied.

[0069] like Figure 4 As shown, the geological background of the marine source rocks in the passive continental margin basin in the embodiment of the present invention is summarized, the tectonic evolution stages of the source rock development are compared and analyzed, and the transition period and drift period source rocks are preferred. The development conditions of the two periods of source rocks are studied, and the development conditions mainly include the source of organic matter and preservation conditions.

[0070] Based on the division of single well sedimentary facies and comparison of geochemical data, it is found that the high-quality source rocks in the transition period developed in lagoon and restricted sea sedimentary facies; the high-quality source rocks in the drift period mainly developed in shallow sea sedimentary facies, the organic matter abundance of the source rocks is medium to very good, and the types are mainly Type II.

[0071] Also, see Figure 5 As shown, the water exchange capacity of confined sea, lagoon and shallow sea sedimentary environments is weak, the water reducing property is strong, and the biomarker compounds also show a lower reducing sedimentary environment.

[0072] From the perspective of organic matter supply conditions, due to the characteristics of these types of favorable sedimentary phases, such as shallow water depth and close to the shore, the river-delta system brings a large amount of terrestrial organic matter, and the dissolved minerals in the river water are also brought into the bay, causing algae to grow in large quantities and be preserved, making the organic matter composition a mixed source of lower aquatic organisms and terrestrial higher plants, which is conducive to the development of source rocks.

[0073] Therefore, it can be considered that the development of source rocks in passive continental margin basins is closely related to the sedimentary environment.

[0074] Optionally, in step S2, determining the specific distribution range of favorable seismic phases of source rocks in passive continental margin basins includes:

[0075] Step S 21 : Summarize the geological background of marine source rocks in passive continental margin basins, compare the tectonic evolution stages of source rock development, and determine the transition period and drift period of marine source rock development as the research stage;

[0076] Step S 22 :Study the development conditions of source rocks in transition and drift periods; wherein the development conditions include the source of organic matter and preservation conditions;

[0077] Step S 23 :Based on the development conditions of source rocks, the sedimentary facies of single wells are divided;

[0078] Step S 24 : Compare and analyze the geochemical data of different sedimentary facies of a single well to obtain the sedimentary facies of source rock development during the transition period and drift period;

[0079] Step S 25 :Based on the source of organic matter, water reducibility, organic matter quality and organic matter type, the sedimentary facies favorable for the development of source rocks are obtained.

[0080] Therefore, for the passive continental margin basin of the embodiment of the present invention, through well seismic calibration and typical profile seismic phase analysis, it is believed that in the transitional period of the passive continental margin basin of the embodiment of the present invention, the gypsum-salt rock and mudstone interlayer area has seismic characteristics of chaotic or continuous strong amplitude reflection, and lagoon source rocks are developed; in the mudstone-dominated area, the seismic is sheet-like-chaotic reflection, weak amplitude, medium-poor continuity, corresponding to the restricted marine source rocks, which can be seen in detail. Figure 6 shown.

[0081] Therefore, these two types of seismic phases are considered to be sedimentary phases corresponding to the passive continental margin basin in the embodiment of the present invention, which are favorable for the development of source rocks. The seismic data of the passive continental margin basin in the embodiment of the present invention can be further sorted out to analyze the specific distribution range of the seismic phase.

[0082] It is important to note that this seismic feature only reflects the lagoon and confined marine environment of the Tanzania Basin, and other passive continental margin basins should be specifically analyzed due to differences in structure and lithological combinations.

[0083] Optionally, in step S3, the specific method for predicting the distribution of hydrocarbon source kitchens in passive continental margin basins includes:

[0084] When the oil and gas kitchen Ro is greater than 0.5% and less than 1.3%, the distribution of oil kitchens in passive continental margin basins is obtained;

[0085] When the oil and gas kitchen Ro is greater than 1.3%, the distribution of gas kitchens in the passive continental margin basin is obtained.

[0086] like Figure 7 As shown, based on the geothermal flow background and basin thermal evolution history of the passive continental margin basin of the embodiment of the present invention, the geothermal gradient of the East African coast is clarified, and the single well maturity history of the source rock is simulated. Through research, it is found that the oil-generating kitchens (Ro=0.5-1.3%) of the transitional source rocks in the passive continental margin basin of the East African coast are mainly located at the edge of the basin, and the oil and gas-generating kitchens (Ro>1.3%) are located in the hinterland of the basin;

[0087] During the drift period, the oil and gas generation kitchens (Ro>1.3%) from the northern part to the central part of the basin were mainly distributed in the hinterland of each secondary tectonic unit, and transitioned to oil generation kitchens (Ro=0.5-1.3%) towards the basin margin;

[0088] The oil and gas generation stoves in the southern part of the basin are located in the northern hinterland, while the southern part is dominated by oil generation stoves.

[0089] Optionally, in step S4, the specific contents of predicting the distribution of effective marine source rocks in the passive continental margin basin include:

[0090] Step S 41 :To determine whether the passive continental margin basin has an environment that is favorable for the development of marine source rocks;

[0091] Step S 42 :To determine whether the passive continental margin basin has a distribution of seismic facies that is favorable for source rocks;

[0092] Step S 43 :To determine whether the passive continental margin basin has the distribution of marine source kitchens;

[0093] Step S 44 :When both step S are present 41 -S 43When these three conditions are met, it is predicted that the passive continental margin basin is distributed with effective marine source rocks.

[0094] Optionally, in step S 41 The development environment of the marine source rock includes development mode and control factors; in step S 42 Among them, the distribution of the seismic phases of the source rock includes favorable seismic phase identification and distribution rules.

[0095] Figure 8 A structural block diagram of a prediction device for the distribution of effective marine source rocks in a passive continental margin basin is provided for an embodiment of the present invention. This embodiment can be applied to the situation of accurately predicting the distribution of effective marine source rocks in a passive continental margin basin. The prediction device for the distribution of effective marine source rocks in a passive continental margin basin can be implemented in the form of hardware and / or software, and the prediction device for the distribution of effective marine source rocks in a passive continental margin basin can be configured in an electronic device with data processing capabilities.

[0096] like Figure 8 As shown, the prediction device for the distribution of effective marine source rocks in passive continental margin basins of this embodiment includes:

[0097] A division module, for dividing the main tectonic evolution stages of source rock development in the passive continental margin basin according to the tectonic evolution background of the passive continental margin basin;

[0098] The judgment module is used to analyze the seismic phase characteristics corresponding to the sedimentary phases in each tectonic evolution stage based on the existing seismic data and drilling data, and obtain the favorable seismic phase characteristics of the source rock, so as to judge the specific distribution range of the favorable seismic phase of the source rock in the passive continental margin basin;

[0099] The hydrocarbon source kitchen distribution prediction module is used to simulate the maturity history of source rocks, analyze the hydrocarbon generation evolution characteristics of source rocks in the basin, and predict the distribution of hydrocarbon source kitchens in the passive continental margin basin based on the geothermal flow background and thermal evolution history of the basin;

[0100] The source rock distribution prediction module is used to predict the distribution of effective marine source rocks in passive continental margin basins based on the development pattern and controlling factors of marine source rocks in passive continental margin basins, the identification and distribution law of favorable seismic phases of source rocks, and the distribution law of marine source kitchens.

[0101] The prediction device for the distribution of effective marine source rocks in passive continental margin basins provided in an embodiment of the present invention can execute the prediction method for the distribution of effective marine source rocks in passive continental margin basins provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0102] Fig. 9The schematic diagram of the structure of an electronic device that can be used to implement the embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as desktop computers, workstations, personal digital assistants, servers, mainframe computers and other suitable computers.

[0103] The electronic device may also refer to various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (eg, helmets, glasses, watches, etc.), and other similar computing devices.

[0104] The components shown herein, their connections and relationships, and their functions, are intended only as examples, and are not meant to limit implementations of the inventions described and / or claimed herein.

[0105] like Fig. 9 As shown, the electronic device includes at least one processor 21, and a memory connected to the at least one processor 21, such as a read-only memory (ROM) 22, a random access memory (RAM) 23, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 21 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 22 or the computer program loaded from the storage unit 28 to the random access memory (RAM) 23. In the RAM 23, various programs and data required for the operation of the electronic device can also be stored. The processor 21, ROM 22 and RAM 23 are connected to each other through a bus 24. An input / output (I / O) interface 25 is also connected to the bus 24.

[0106] A number of components in the electronic device are connected to the I / O interface 25, including: an input unit 26, such as a keyboard, a mouse, etc.; an output unit 27, such as various types of displays, speakers, etc.; a storage unit 28, such as a disk, an optical disk, etc.; and a communication unit 29, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 29 allows the electronic device to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0107] The processor 21 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 21 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 21 executes the various methods and processes described above, such as a prediction method for the distribution of marine effective source rocks in a passive continental margin basin.

[0108] In some embodiments, the method for predicting the distribution of effective marine source rocks in a passive continental margin basin may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as the storage unit 28 .

[0109] In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device via the ROM 22 and / or the communication unit 29. When the computer program is loaded into the RAM 23 and executed by the processor 21, one or more steps of the method for predicting the distribution of marine effective source rocks in passive continental margin basins described above may be performed.

[0110] Alternatively, in other embodiments, the processor 21 may be configured to execute the method for predicting the distribution of marine effective source rocks in passive continental margin basins in any other appropriate manner (eg, by means of firmware).

[0111] Various embodiments 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 embodiments may 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.

[0112] 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.

[0113] 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 conjunction with an instruction execution system, device, or apparatus. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing.

[0114] Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of machine readable storage media may include electrical connections based on one or more wires, 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 above.

[0115] 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).

[0116] 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.

[0117] 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.

[0118] 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.

[0119] Although the present invention is disclosed as above, the protection scope of the present invention is not limited thereto. Those skilled in the art may make various changes and modifications without departing from the spirit and scope of the present invention, and these changes and modifications will fall within the protection scope of the present invention.

Claims

1. A method for predicting the distribution of marine effective source rocks in passive continental margin basins, characterized in that: include: Step S1: based on the tectonic evolution background of the passive continental margin basin, the tectonic evolution stages of the main development of source rocks in the passive continental margin basin are divided; Step S2: Based on the existing seismic and drilling data, the seismic phase characteristics corresponding to the sedimentary phases in each tectonic evolution stage are analyzed to obtain the favorable seismic phase characteristics of the source rock, thereby determining the specific distribution range of the favorable seismic phase of the source rock in the passive continental margin basin; Step S3: Based on the geothermal flow background and thermal evolution history of the passive continental margin basin, the source rock maturity history is simulated, the hydrocarbon generation evolution characteristics of the source rock in the basin are analyzed, and the distribution of source kitchens in the passive continental margin basin is predicted; Step S4: Based on the development pattern and controlling factors of marine source rocks in passive continental margin basins, identification and distribution law of favorable seismic phases of source rocks, and distribution law of marine source kitchens, the distribution of effective marine source rocks in passive continental margin basins is predicted.

2. The method for predicting the distribution of effective marine source rocks in passive continental margin basins according to claim 1, characterized in that: In step S1, the main tectonic evolution stages of the source rock development include the rift stage, transition stage and drift stage.

3. The method for predicting the distribution of effective marine source rocks in passive continental margin basins according to claim 2, characterized in that: In step S1, the main tectonic evolution stages of the source rocks in the passive continental margin basin are divided into: Step S 11 :Based on the differences in the sedimentary environments of various sedimentary facies, using biomarker compound data and lithofacies paleogeographic background, we analyze the advantages and disadvantages of the preservation conditions for organic matter and how they control the development of high-quality source rocks; Step S 12 :Based on the lithologic combination and logging data of a single well, the sedimentary facies of a single well are divided, and based on the geochemical data of a single well, the advantages and disadvantages of the geochemical data of each sedimentary facies are evaluated to obtain the sedimentary facies where high-quality source rocks are developed; Step S 13 :Combining the quality of source rocks in each sedimentary facies, the favorable sedimentary facies in each tectonic evolution stage are obtained, and the development pattern and main controlling factors of marine source rocks in passive continental margin basins are studied.

4. The method for predicting the distribution of effective marine source rocks in passive continental margin basins according to claim 1, characterized in that: In step S2, the determination of the specific distribution range of favorable seismic phases of source rocks in passive continental margin basins includes: Step S 21 : Summarize the geological background of marine source rocks in passive continental margin basins, compare the tectonic evolution stages of source rock development, and determine the transition period and drift period of marine source rock development as the research stage; Step S 22 :Study the development conditions of source rocks in transition and drift periods; wherein the development conditions include the source of organic matter and preservation conditions; Step S 23 :Based on the development conditions of source rocks, the sedimentary facies of single wells are divided; Step S 24 : Compare and analyze the geochemical data of different sedimentary facies of a single well to obtain the sedimentary facies of source rock development during the transition period and drift period; Step S 25 :Based on the source of organic matter, water reducibility, organic matter quality and organic matter type, the sedimentary facies favorable for the development of source rocks are obtained.

5. The method for predicting the distribution of marine effective source rocks in passive continental margin basins according to claim 1, characterized in that: In step S3, the specific method for predicting the distribution of hydrocarbon source kitchens in passive continental margin basins includes: When the oil and gas kitchen Ro is greater than 0.5% and less than 1.3%, the distribution of oil kitchens in passive continental margin basins is obtained; When the oil and gas kitchen Ro is greater than 1.3%, the distribution of gas kitchens in the passive continental margin basin is obtained.

6. The method for predicting the distribution of marine effective source rocks in passive continental margin basins according to claim 1, characterized in that: In step S4, the specific contents of predicting the distribution of effective marine source rocks in passive continental margin basins include: Step S 41 :To determine whether the passive continental margin basin has an environment that is favorable for the development of marine source rocks; Step S 42 :To determine whether the passive continental margin basin has a distribution of seismic facies that is favorable for source rocks; Step S 43 :To determine whether the passive continental margin basin has the distribution of marine source kitchens; Step S 44 :When both step S are present 41 -S 43 When these three conditions are met, it is predicted that the passive continental margin basin is distributed with effective marine source rocks.

7. The method for predicting the distribution of marine effective source rocks in passive continental margin basins according to claim 6, characterized in that: In step S 41 The development environment of the marine source rock includes development mode and control factors; in step S 42 Among them, the distribution of the seismic phases of the source rock includes favorable seismic phase identification and distribution rules.

8. A prediction device for the distribution of effective marine source rocks in passive continental margin basins, characterized in that: include: A division module, used to divide the main tectonic evolution stages of the source rocks in the passive continental margin basin according to the tectonic evolution background of the passive continental margin basin; The judgment module is used to analyze the seismic phase characteristics corresponding to favorable sedimentation in each tectonic evolution stage based on the existing seismic data, obtain the favorable seismic phase characteristics of the source rock, and thus determine the specific distribution range of the favorable seismic phase of the source rock in the passive continental margin basin; The hydrocarbon source kitchen distribution prediction module is used to analyze the hydrocarbon generation evolution characteristics of the source rocks in the passive continental margin basin based on the geothermal flow background and thermal evolution history of the basin, and simulate the maturity history of a specific single well, so as to predict the distribution of hydrocarbon source kitchens in the passive continental margin basin. The source rock distribution prediction module is used to predict the distribution of effective marine source rocks in passive continental margin basins based on the development pattern and controlling factors of marine source rocks in passive continental margin basins, the identification and distribution law of favorable seismic phases of source rocks, and the prediction of the distribution of marine source kitchens.

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 distribution of effective marine source rocks in a passive continental margin basin 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 distribution of marine effective source rocks in a passive continental margin basin according to any one of claims 1 to 7 when executed.

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