A method and apparatus for establishing an initial phased-control model in phased-control inversion.

Abstract

This invention belongs to the field of reservoir prediction technology, specifically seismic inversion, and particularly relates to a method and apparatus for establishing an initial facies-controlled model in facies-controlled inversion. Based on sedimentary facies, this invention establishes a forward model and performs forward analysis according to the lithological combination characteristics and variation patterns of different facies zones. It then selects seismic attributes or attribute combinations that can distinguish different facies zones to establish seismic identification models for different sedimentary facies. These identification models are used to classify seismic facies, and the seismic facies control the establishment of the subsequent initial model, thereby making the initial model more reasonable and more sedimentary indicative.

Description

Technical Field

[0001] This invention belongs to the field of seismic data processing, and relates to seismic inversion, and particularly to a method and apparatus for establishing an initial phase control model in phase control inversion. Background Technology

[0002] Seismic inversion technology is a collective term for various inversion techniques. Its working principle is to use seismic data observed at the Earth's surface to perform imaging analysis of the spatial structure and physical properties of underground layers. The purpose of seismic inversion is to obtain a model of the underground medium from known observational data through calculation and analysis, thereby making effective predictions and improving production efficiency. Currently, seismic inversion techniques are mainly divided into three categories: direct inversion, model inversion, and seismic attribute inversion.

[0003] Model inversion, also known as well-logging-seismic joint inversion, is crucial. In thin reservoir geological conditions, the accuracy and resolution of ordinary direct seismic inversion methods cannot meet the requirements for reservoir prediction due to the limited bandwidth of seismic data. Model-based seismic inversion technology supplements the limited bandwidth of seismic data with the rich high-frequency information and complete low-frequency components of well-logging data, obtaining high-resolution formation impedance data and creating favorable conditions for the detailed description of thin oil and gas reservoirs.

[0004] For model inversion, the key is to establish an accurate and reasonable initial model using stratigraphic horizons and well logging curves. The initial model is primarily controlled by the interpreted horizons and is formed through well logging curve interpolation. Chinese invention patent application CN105607120A discloses a method for constructing an initial model based on seismic facies constraints using time-lapse logging. This method utilizes interpreted horizons and time-lapse logging data for well-seismic calibration, establishes seismic spatial relationships in conjunction with seismic data, and performs consistency analysis on the well-seismic calibration results and seismic spatial relationships. It also establishes an isochronous seismic data framework using interpreted horizons and time-lapse logging data. This isochronous seismic data framework is a stratigraphic framework established by guiding the tracking and subdivision of sub-layers using dip angles calculated from seismic data. Under the constraints of the isochronous stratigraphic framework, interpolation is performed using the calibrated well logging data and seismic spatial relationships to obtain the initial model.

[0005] Due to factors such as the number of wells, well point distribution, and sedimentary type of the well points, directly using well logging data interpolation to establish an initial model can easily lead to unreasonable interpolation, ultimately affecting the prediction results. Improving the rationality of the initial model has become a technical challenge for enhancing the accuracy of model inversion. Summary of the Invention

[0006] The purpose of this invention is to provide a method for establishing an initial phase control model in phase control inversion, to address the problem of unreasonable initial model establishment caused by factors such as a small number of wells and uneven distribution of well points. This method is based on the premise that the sedimentary environment of the study area has been determined and the corresponding logging facies have been identified.

[0007] The second objective of this invention is to provide an apparatus for establishing an initial phase control model in phase control inversion.

[0008] To achieve the above objectives, the technical solution of the method for establishing the initial phase control model in phase control inversion adopted in this invention is as follows:

[0009] A method for establishing an initial phase control model in phase control inversion includes the following steps:

[0010] (1) Based on the analysis of sedimentary facies and logging facies in the study area, the reservoir development patterns of different sedimentary facies zones were clarified, and a single-well geological model was established;

[0011] (2) Multiple single-well geological models in the study area are divided into groups according to sedimentary facies type, and the sedimentary facies type is the same in each group; within the same sedimentary facies group, multiple single-well geological models are sorted according to the lithological variation law, and then lithological interpolation is performed to obtain multi-well geological models.

[0012] (3) Assign corresponding acoustic and density values ​​to different lithologies in the multi-well geological model determined in step (2) to form a multi-well forward model;

[0013] (4) Perform forward modeling on the multi-well forward modeling model determined in step (3) to obtain forward modeling seismic data, extract seismic attributes, determine the sensitive seismic attributes that can distinguish different sedimentary facies, and establish seismic identification patterns for different sedimentary facies.

[0014] (5) Extract sensitive earthquake attribute plane map using earthquake bodies in the study area, and divide earthquake phases according to the earthquake identification mode determined in step (4);

[0015] (6) Using the initial model established in the seismic phase control model inversion determined in step (5), the initial phase control model is obtained.

[0016] The method for establishing the initial phase control model in phase control inversion of the present invention is based on sedimentary facies, uses the identification mode of different facies zones to realize the division of seismic facies, and uses seismic facies to control the establishment of the initial model in the later stage, thereby making the initial model more reasonable and more sedimentary. It can effectively solve the problem of unreasonable establishment of conventional initial models caused by factors such as few wells and uneven distribution of well points.

[0017] Preferably, in step (1), turbidite fans are developed in the study area; the different sedimentary facies zones include inner fan subfacies, middle fan subfacies, and outer fan subfacies. More preferably, in step (3), the lithology includes permeable sandstone, dense sandstone, and mudstone, with sonic values ​​assigned to 265–270 μS / m, 225–230 μS / m, and 255–260 μS / m, respectively, and density values ​​assigned to 2.35–2.40 g / cm³, respectively. 32.55~2.60g / cm 3 2.50~2.55g / cm 3 More preferably, the acoustic values ​​for permeable sandstone, dense sandstone, and mudstone are assigned to 266.6 μS / m, 226.7 μS / m, and 258.1 μS / m, respectively, and their density values ​​are assigned to 2.392 g / cm³, respectively. 3 2.566 g / cm 3 2.524 g / cm 3 .

[0018] Preferably, in step (4), the seismic attribute includes one or more of amplitude, frequency, phase, and waveform; the sensitive seismic attribute is one or more combinations of two or more.

[0019] Preferably, in step (1), the reservoir development patterns of different sedimentary facies zones include the lithological combination characteristics and lithological variation patterns of different sedimentary facies. More preferably, the lithological combination characteristics include sandstone properties and thickness, interlayer thickness, and mudstone development. More preferably, the lithological variation patterns include the number of sand bodies and the variation trends of sandstone and interlayer thickness.

[0020] The technical solution of the device for establishing the initial phase control model in phase control inversion according to the present invention is as follows:

[0021] An apparatus for establishing an initial phased-array model in phased-array inversion includes the following steps:

[0022] Single-well geological model establishment module: Based on the analysis of sedimentary facies and well logging facies in the study area, the reservoir development patterns of different sedimentary facies zones are clarified, and a single-well geological model is established;

[0023] Multi-well geological model establishment module: Multiple single-well geological models in the study area are divided into groups according to sedimentary facies type, and the sedimentary facies type is the same in each group; within the same sedimentary facies group, multiple single-well geological models are sorted according to the lithological variation law, and then lithological interpolation is performed to obtain the multi-well geological model;

[0024] Multi-well forward modeling module: Assigns corresponding acoustic and density values ​​to different lithologies in the multi-well geological model determined by the multi-well geological modeling module to form a multi-well forward modeling model;

[0025] Seismic identification pattern establishment module: Perform forward modeling on a determined multi-well forward modeling model to obtain forward modeling seismic data, extract seismic attributes, determine sensitive seismic attributes that can distinguish different sedimentary facies, and establish seismic identification patterns for different sedimentary facies;

[0026] Seismic facies classification module: Utilizing seismic bodies in the study area to extract sensitive seismic attribute plane maps, and classifying seismic facies according to the determined seismic identification pattern;

[0027] Phase-controlled initial model establishment module: The initial model is obtained by establishing the initial model in the seismic phase control model inversion determined by the seismic phase division module.

[0028] The aforementioned facies-controlled inversion device for establishing the initial facies model is based on sedimentary facies. It establishes a forward model and performs forward analysis based on the lithological combination characteristics and variation patterns of different facies zones. It selects seismic attributes or attribute combinations that can distinguish different facies zones to establish seismic identification modes for different sedimentary facies. It then uses the seismic identification modes of different facies zones to achieve the division of seismic facies. The seismic facies control the establishment of the initial model in the later stage, thereby making the initial model more reasonable and more sedimentary.

[0029] Preferably, in the single-well geological model establishment module, turbidite fans are developed in the study area; the different sedimentary facies zones include inner fan subfacies, middle fan subfacies, and outer fan subfacies.

[0030] More preferably, in the multi-well forward model building module, the lithology includes permeable sandstone, tight sandstone, and mudstone, with sonic values ​​assigned to 265–270 μS / m, 225–230 μS / m, and 255–260 μS / m, respectively, and density values ​​assigned to 2.35–2.40 g / cm³, respectively. 3 2.55~2.60g / cm 3 2.50~2.55g / cm 3 More preferably, the acoustic values ​​for permeable sandstone, dense sandstone, and mudstone are assigned to 266.6 μS / m, 226.7 μS / m, and 258.1 μS / m, respectively, and their density values ​​are assigned to 2.392 g / cm³, respectively. 3 2.566 g / cm 3 2.524 g / cm 3 .

[0031] Preferably, in the earthquake identification pattern establishment module, the earthquake attributes include one or more of amplitude, frequency, phase, and waveform; the sensitive earthquake attributes are one or more combinations of two or more.

[0032] Preferably, in the single-well geological model establishment module, the reservoir development law of different sedimentary facies zones includes the lithological combination characteristics and lithological variation law of different sedimentary facies; the lithological combination characteristics include sandstone properties and thickness, mudstone interlayer thickness and mudstone development; the lithological variation law includes the variation trend of sandstone and interlayer thickness. Attached Figure Description

[0033] Figure 1 This is a flowchart of the method for establishing the initial phased-array model in phased-array inversion according to the present invention;

[0034] Figure 2This is a well logging facies pattern diagram of the study area in an embodiment of the present invention;

[0035] Figure 3 The embodiments of the present invention illustrate the lithological combination characteristics of different sedimentary facies zones and the lithological variation characteristics of the same sedimentary facies zone;

[0036] Figure 4 These are single-well geological models and multi-well geological models in the embodiments of the present invention;

[0037] Figure 5 These are the single-well forward model and the multi-well forward model in the embodiments of the present invention;

[0038] Figure 6 This is a seismic profile obtained through forward modeling in an embodiment of the present invention;

[0039] Figure 7 In this embodiment of the invention, sensitive attributes are selected for analysis of various seismic attributes;

[0040] Figure 8 These are different sedimentary phase identification modes in the embodiments of the present invention;

[0041] Figure 9 The images show the frequency attribute map (left) and amplitude attribute map (right) extracted in this embodiment of the invention.

[0042] Figure 10 This is a planar diagram of seismic phase division determined in an embodiment of the present invention;

[0043] Figure 11 This is a cross-section of the phased-controlled low-frequency model obtained in an embodiment of the present invention;

[0044] Figure 12 This is a profile of a conventional low-frequency model obtained using existing technology. Detailed Implementation

[0045] This invention mainly utilizes sedimentary facies-controlled geological modeling, based on seismic facies division and the establishment of facies-controlled initial models through forward modeling analysis.

[0046] This invention is based on sedimentary facies. It establishes forward modeling based on the lithological combination characteristics and variation patterns of different facies zones and performs forward modeling analysis. It selects seismic attributes or attribute combinations that can distinguish different facies zones to establish seismic identification modes for different sedimentary facies. It uses seismic identification modes of different facies zones to realize the division of seismic facies and uses seismic facies to control the establishment of the initial model in the later stage, thereby making the initial model more reasonable and more sedimentary.

[0047] The embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0048] I. A specific embodiment of the method for establishing the initial phase control model in the phase control inversion of the present invention is as follows:

[0049] Example 1

[0050] The method for establishing the initial phase control model in this embodiment of phase control inversion is based on the actual study area, which features turbidite fans and deep-sea mudstone deposits. The turbidite fans mainly consist of inner, middle, and outer fan subfacies, and the lithology is mainly mudstone and sandstone. The workflow diagram is shown below. Figure 1 As shown, the specific method includes the following steps:

[0051] (1) Lithological assemblage characteristics and lithological variation patterns in the study area

[0052] Based on sedimentary facies and well logging facies theories, as well as the lithological development characteristics of each well, the lithological assemblage characteristics of different sedimentary facies (subfacies) and the lithological variation patterns of each facies (subfacies) in the study area were determined. The well logging facies model diagram of the study area is shown below. Figure 2 As shown.

[0053] The inner fan subfacies is characterized by thick to very thick dense sandstone, with concentrated sandstone sections exceeding 10 meters in thickness and reaching over 40 meters in some cases. The sandstone bodies tend to thin as they gradually decrease in thickness. The middle fan subfacies features multiple sets of thick to very thick permeable sandstone, with individual sandstone bodies typically exceeding 4 meters in thickness. Concentrated sandstone sections exceed 15 meters in thickness and can reach over 40 meters in some cases. The interlayers gradually thicken while individual permeable sandstone layers gradually thin. The outer fan subfacies is characterized by dense sandstone, with individual sandstone bodies typically 1-2 meters thick, primarily composed of mudstone (e.g., ...). Figure 3 As shown in Table 1, the trend is that the number of individual sand bodies decreases and the thickness becomes thinner.

[0054] Table 1. Lithological development characteristics of different sedimentary facies zones

[0055]

[0056] (2) Establishing geological models for single and multiple wells

[0057] Based on well logging facies theory, single-well geological models and multi-well geological models are established according to the characteristics and variation patterns of different sedimentary subfacies lithological combinations in step (1). Figure 4 ).

[0058] Specifically, in order to make the forward model comprehensive and representative, the geological model was established with the well logging facies theory model as a guide, and combined with the variation law of the same sedimentary facies (subfacies) lithological combination in each well in the study area. That is, multiple single-well geological models were established for the same sedimentary facies (subfacies). The multiple single-well geological models were sorted according to the lithological variation law of the study area, and lithological interpolation was performed to obtain a multi-well geological model.

[0059] A geological model characterizing the lithological assemblage of a well and its corresponding forward model are defined as a single-well geological model and a single-well forward model. Within the same sedimentary facies (subfacies), a model obtained by lithological interpolation based on multiple single-well geological models (lithological interpolation: first, the well is divided into isochronous stratigraphic layers based on stratigraphic marker layers. Marker layers refer to strata that can be identified using logging curves such as natural gamma, density, and resistivity, and are developed throughout the entire area with prominent characteristics. In this case, the target stratum is the Sha-3 Lower 1 Sand Formation. If there are more secondary marker layers within the Sand Formation, the strata can be further subdivided, which is beneficial to improving the accuracy of the model. Based on the stratigraphic division, interpolation is performed between multiple wells using natural gamma curves. In this case, the inverse distance weighted interpolation method is used) is called a multi-well geological model, and the corresponding forward model is defined as a multi-well forward model.

[0060] (3) Establish forward modeling for single wells and multiple wells

[0061] Different lithologies in single-well and multi-well geological models were assigned corresponding acoustic and density values. The acoustic and density values ​​for permeable sandstone were 266.6 μS / m and 2.392 g / cm³, respectively. 3 The acoustic wave and density of the dense sandstone are 226.7 μS / m and 2.566 g / cm³, respectively. 3 The acoustic properties and density of the mudstone are 226.7 μS / m and 2.524 g / cm³, respectively. 3 To form single-well and multi-well forward modeling models ( Figure 5 ).

[0062] (4) Taking sedimentary subfacies as the unit, forward modeling was carried out on multi-well forward modeling models within different sedimentary subfacies to obtain the corresponding seismic data. Figure 6 ).

[0063] (5) Select sensitive attributes and establish seismic identification models for different sedimentary subfacies.

[0064] Seismic attributes are extracted from seismic data, and sensitive attributes are selected (sensitive attribute confirmation: firstly, the attribute is sensitive to lithology, that is, the attribute characteristics differ greatly between sandstone and mudstone development sections; in this case, lithological thickness and amplitude intensity are positively correlated). Figure 7 Analysis revealed that (root mean square) amplitude and frequency can be used to classify different sedimentary subfacies, and a seismic identification model for different sedimentary subfacies was established. Figure 8 ).

[0065] In this step, in order to select the most sensitive attributes, forward modeling is performed on multi-well forward modeling models of different sedimentary facies (subfacies) to obtain the corresponding forward modeling seismic data. Various seismic attributes such as amplitude, frequency, phase, and waveform are extracted from the seismic data. The most sensitive attributes or combinations of sensitive attributes that can distinguish different sedimentary facies (subfacies) are selected by combining various attributes, which is the seismic identification mode of different sedimentary facies (subfacies).

[0066] (6) Extracting sensitive seismic attributes from seismic bodies in the study area ( Figure 9 ), and use the earthquake identification model determined in step (5) to divide the earthquake phases ( Figure 10 ).

[0067] Figure 9 In the middle, the left side shows the frequency attribute map extraction result, and the right side shows the amplitude attribute map extraction result.

[0068] (7) Using the establishment of the initial model in the seismic phase control model inversion, the initial phase control model is obtained. Figure 11 ).

[0069] In this step, in order to establish the initial phase control model in the model inversion, the seismic phase is used for control during model interpolation (model interpolation is similar to lithological interpolation. After giving the formation acoustic and density values, the P-wave impedance can be calculated using RHOB*1000000 / DT. Then, the inverse distance weighting method is used for interpolation between wells. Different methods can be selected for different work areas. In this case, the inverse distance weighting method is selected). Finally, the initial phase control model is obtained.

[0070] Figure 11 , Figure 12 For cross-sections at the same location, Figure 11 This is a low-frequency model profile obtained using this method. Figure 12 The low-frequency model profile obtained by the conventional method (the conventional method directly extracts attributes such as amplitude, frequency, waveform, and phase from the seismic data, and then divides areas with the same attributes into the same seismic phase) shows that the model results obtained by this method at Well 2 are more consistent with the drilling conditions of Well 2.

[0071] Example 2

[0072] The method for establishing the initial phase control model in the phase control inversion of this embodiment is basically the same as the implementation process of embodiment 1. The only difference is that in step (5), the sensitive earthquake attribute is determined to be waveform; in step (6), the waveform attribute is extracted using the earthquake body in the study area, the corresponding earthquake identification mode is established, and then the earthquake phase is divided.

[0073] Example 3

[0074] The method for establishing the initial phase control model in the phase control inversion of this embodiment is basically the same as the implementation process of embodiment 1. The only difference is that in step (5), the sensitive earthquake attribute is determined to be frequency; in step (6), the frequency attribute is extracted using the earthquake body in the study area, the corresponding earthquake identification mode is established, and then the earthquake phase is divided.

[0075] II. The specific embodiments of the device for establishing the initial phase control model in the phase control inversion of the present invention are as follows:

[0076] Example 4

[0077] The device for establishing the initial phase control model in phase control inversion in this embodiment includes a single-well geological model establishment module, a multi-well geological model establishment module, a multi-well forward model establishment module, a seismic identification mode establishment module, a seismic facies division module, and a phase control initial model establishment module, which respectively correspond to the corresponding steps of the method in Embodiment 1. The above modules can be used to realize the establishment of the initial model in the seismic facies control model inversion.

[0078] Example 5

[0079] In this embodiment, the device for establishing the initial phase control model in phase control inversion corresponds to Embodiment 2. In the earthquake identification mode establishment module, the sensitive earthquake attribute is determined to be waveform. In the earthquake phase division module, waveform attributes are extracted using earthquake bodies in the study area to establish a corresponding earthquake identification mode, and then the earthquake phase is divided.

[0080] Example 6

[0081] In this embodiment, the device for establishing the initial phase control model in phase control inversion corresponds to Embodiment 3. In the earthquake identification mode establishment module, the sensitive earthquake attribute is determined to be frequency. In the earthquake phase division module, the frequency attribute is extracted using the earthquake body in the study area, a corresponding earthquake identification mode is established, and then the earthquake phase is divided.

Claims

1. A method for establishing a phase-controlled initial model in a phase-controlled inversion, characterized in that, The method comprises the following steps: (1) According to the analysis of sedimentary facies and logging facies in the study area, the reservoir development law of different sedimentary facies belts is determined, and a single well geological model is established; (2) A plurality of single well geological models in the study area are divided into groups according to the type of sedimentary facies, and the type of sedimentary facies in each group is the same; within the same sedimentary facies group, a plurality of single well geological models are sorted according to the lithology change law, and then lithology interpolation is performed to obtain a multi-well geological model; within the same sedimentary facies, the single well geological models are divided into isochronous strata according to the marker layer, and on the basis of strata division, the natural gamma curve is used to perform interpolation between the multi-wells by inverse distance weighting method to obtain the multi-well geological model; the marker layer is identified by using natural gamma, density and resistivity logging curves; (3) Different lithologies in the multi-well geological model determined in step (2) are given corresponding acoustic and density values to form a multi-well forward model; (4) Forward modeling is performed on the multi-well forward model determined in step (3) to obtain forward modeling seismic data, extract seismic attributes, and determine sensitive seismic attributes for distinguishing different sedimentary facies; A seismic identification mode of different sedimentary facies is established; (5) The sensitive seismic attribute plan of the study area is extracted by using the seismic body, and the seismic facies is divided according to the seismic identification mode determined in step (4); (6) The establishment of the initial model in the model inversion is controlled by the seismic facies determined in step (5) to obtain a phase-controlled initial model.

2. The method of claim 1, wherein, In step (1), turbidite fans are developed in the study area; the different sedimentary facies belts include inner fan subfacies, middle fan subfacies and outer fan subfacies.

3. The method for establishing a phase-controlled initial model in phase-controlled inversion according to claim 2, characterized in that, In step (3), the lithology includes permeable sandstone, tight sandstone and mudstone, the acoustic wave value is respectively assigned as 265~270us / m, 225~230us / m, 255~260us / m, the density value is respectively assigned as 2.35~2.40g / cm 3 , 2.55~2.60g / cm 3 , 2.50~2.55g / cm 3 .

4. The method of claim 1, wherein, In step (4), the seismic attributes include one or more of amplitude, frequency, phase and waveform.

5. The method of claim 1-4, wherein, In step (1), the reservoir development law of different sedimentary facies belts includes the lithology combination characteristics and the lithology change law of different sedimentary facies; the lithology combination characteristics include the properties and thickness of sandstone, the thickness of mudstone interlayer and the development of mudstone; the lithology change law includes the thickness change trend of sandstone and interlayer.

6. An apparatus for establishing a phase-controlled initial model in a phase-controlled inversion, characterized in that, The method comprises the following steps: A single well geological model establishment module: according to the analysis of sedimentary facies and logging facies in the study area, the reservoir development law of different sedimentary facies belts is determined, and a single well geological model is established; A multi-well geological model establishment module: a plurality of single well geological models in the study area are divided into groups according to the type of sedimentary facies, and the type of sedimentary facies in each group is the same; within the same sedimentary facies group, a plurality of single well geological models are sorted according to the lithology change law, and then lithology interpolation is performed to obtain a multi-well geological model; within the same sedimentary facies, the single well geological models are divided into isochronous strata according to the marker layer, and on the basis of strata division, the natural gamma curve is used to perform interpolation between the multi-wells by inverse distance weighting method to obtain the multi-well geological model; the marker layer is identified by using natural gamma, density and resistivity logging curves; A multi-well forward model establishment module: different lithologies in the multi-well geological model determined by the multi-well geological model establishment module are given corresponding acoustic and density values to form a multi-well forward model; A seismic identification mode establishment module: forward modeling is performed on the determined multi-well forward model to obtain forward modeling seismic data, extract seismic attributes, and determine sensitive seismic attributes for distinguishing different sedimentary facies; establishing a seismic identification mode of different sedimentary facies; a seismic facies division module: extracting a planar map of sensitive seismic attributes by using a seismic body of the study area, and dividing seismic facies according to the determined seismic identification mode; a facies-controlled initial model establishment module: establishing an initial model in model inversion controlled by the seismic facies determined by the seismic facies division module, to obtain a facies-controlled initial model.

7. The device for establishing a phase-controlled initial model in phase-controlled inversion according to claim 6, characterized in that, In the single-well geological model establishment module, turbidite fans develop in the study area; the different sedimentary facies belts include inner fan subfacies, middle fan subfacies and outer fan subfacies.

8. The device for establishing a phase-controlled initial model in phase-controlled inversion according to claim 7, characterized in that, The lithology includes permeable sandstone, tight sandstone and mudstone, and the acoustic wave values are respectively assigned as 265-270 us / m, 225-230 us / m and 255-260 us / m, and the density values are respectively assigned as 2.35-2.40 g / cm 3 , 2.55-2.60 g / cm 3 , 2.50-2.55 g / cm 3 .

9. The device for establishing a phase-controlled initial model in phase-controlled inversion according to claim 6, characterized in that, In the seismic identification mode establishment module, the seismic attributes include one or more of amplitude, frequency, phase and waveform.

10. The device for establishing a phase-controlled initial model in phase-controlled inversion according to any one of claims 6 to 9, characterized in that, In the single-well geological model establishment module, the reservoir development law of the different sedimentary facies belts includes lithological combination characteristics and lithological variation law of different sedimentary facies; the lithological combination characteristics include sandstone properties and thickness, mudstone interlayer thickness and mudstone development condition; the lithological variation law includes sandstone and interlayer thickness variation trend.

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