Control analysis method and device for braided river sedimentary reservoir development

Abstract

The invention provides a braided river sedimentary reservoir development control analysis method. The method comprises the following steps: establishing a comprehensive response mode of marker bed interface-calculated three porosity and PE index combined logging interface-seismic interface by utilizing mutual calibration of core, logging and seismic data, and establishing a comprehensive response mode of rock facies-logging facies-seismic facies; utilizing a horizon seismic slicing technology to extract seismic facies attributes, and determining sedimentary microfacies plane distribution through well-seismic combination; the lithology, the physical property, the reservoir space type and the pore structure of the reservoir are described, and the microscopic characteristics of the reservoir are analyzed; and establishing a multi-parameter integrated reservoir evaluation standard, endowing different evaluation parameters with different weights, and finally completing control analysis of reservoir development by reservoir comprehensive evaluation and sequence deposition action. According to the method, a high-frequency sequence framework can be established, sedimentary microfacies boundary depiction can be realized, reservoir microcosmic characteristics and comprehensive evaluation research can be further developed, and finally, the control effect of sequence deposition on reservoir macrocosmic and microcosmic characteristic development can be determined.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of oil and gas exploration and development, and particularly relates to a method and device for describing sedimentation of a shallow water braided river formation in a few-well area and analyzing control of macro and micro characteristics of a reservoir. BACKGROUND

[0002] Multiple sets of sand bodies are developed in the Permian system in the Ordos Basin, among which, the reservoir sand bodies in the first member of the Lower Shihezi Formation are most developed, vertically superimposed on each other, laterally composite and connected, and have the characteristics of wide distribution in spatial distribution (Tian JC et al., 2011). However, the porosity and permeability of the reservoir sand bodies are low, and the physical property is poor, which belongs to a strong heterogeneous sandstone reservoir (Cao TS et al., 2021). The sedimentary microfacies under the control of the stratigraphic framework is one of the important control factors of the development of the reservoir, and the description of the macro and micro characteristics of the reservoir is also the key to understanding the geological characteristics of the gas reservoir. In order to further explore and develop the tight sandstone gas reservoir in the Permian system in the Ordos Basin, it is therefore necessary to understand the stratigraphic sedimentation and reservoir characteristics of such a gas reservoir.

[0003] The classical sequence stratigraphy theory has achieved great success in the division and correlation of thick layer units in the unit of "member", but it is rarely applied to small layers or single sand body levels in the development stage. High-frequency sequence stratigraphy provides new theoretical basis and technical means to solve this problem. The vertical resolution of single well data is high, which can meet the high-frequency sequence division, but can only constrain the interface position of the small layer in the borehole, and the change of the horizon between wells faces the problems of fast change of sedimentary facies, unclear cycle identification, and unstable marker bed in the correlation of complex braided river formation (Yang Y et al., 2010). Especially in the few-well area, lithology mutation or sand body pinch-out is more likely to occur in long well spacing, and the use of well data alone for small layer correlation cannot objectively reflect these changes, and the correlation is prone to problems. Vail (1977) proposed that the main seismic reflection has chronological stratigraphic significance, and the seismic data has continuity in the horizontal direction, which can well reflect the horizontal distribution of the strata. However, due to the limited resolution of the seismic data, it is generally believed that the seismic data cannot be used for isochronal correlation of small layers of continental oil and gas reservoirs.

[0004] Development practice shows that if a low-permeability tight gas reservoir wants to achieve beneficial development, improving gas well productivity is the key, so currently, horizontal wells are deployed in the development of the gas reservoir in the research area, and as many reservoirs as possible are drilled to improve gas well productivity. Therefore, how to accurately depict the sedimentary microfacies boundary of the small layer and determine the distribution of the favorable sand body reservoir of the small layer development unit in the small layer framework of the development unit in the low-well-controlled area is one of the key problems and key issues that need to be solved in the development of the area.

[0005] Although predecessors have carried out sedimentary analysis on He 1 member in Hangjinqi area of Ordos Basin, the understanding of sedimentation is not consistent, and in the description of sedimentary microfacies boundary, predecessors mostly start from well points, use logging data to carry out single well sedimentary microfacies division, and use the similarity of single well sedimentary microfacies to describe sedimentary microfacies by using the difference prediction method (Cao Tongsheng, 2019), but in the face of such a complex research object as sedimentary law, it is difficult to accurately describe the planar distribution of sedimentary microfacies by using limited well data. The planar sampling density of three-dimensional seismic data is larger than that of drilling data, and the lateral resolution is high, and the lateral resolution of seismic data can improve the sand body prediction ability (Li Cao et al., 2022), therefore, in the area with few wells, the comprehensive description of sedimentary microfacies by well-seismic combination is one of the important ways to solve the above problems. In the aspect of microcosmic analysis of reservoir characteristics, predecessors mostly aim at reservoir lithology, physical property and the like, but the analysis of reservoir space type and pore structure is relatively weak (Cao Tongsheng et al., 2023). The tight sandstone reservoir has strong heterogeneity and strong anisotropy, and the reservoir evaluation is not only controlled by porosity but also by the pore structure inside the rock. The pore structure is the comprehensive response of the size, shape, development degree and connectivity of the rock pore and throat, is the main reservoir space and migration channel of oil and gas, can reflect the reservoir storage and percolation capacity, and the clear pore structure parameter is an important content of quantitative evaluation of the reservoir (Hao Lewei et al., 2013; Zhu Honglin, 2014). Therefore, it is of great significance to clarify the pore structure and distribution law of the tight reservoir for the tight oil and gas exploration and development.

[0006] In summary, how to accurately describe the macroscopic distribution of small layer unit geological body in the process of small layer correlation and sedimentary microfacies boundary description by integrating the stratigraphic sedimentary characteristics of well points with geophysical reflection, attribute and reservoir prediction, fully utilizing the stratigraphic section technology, combining with the microcosmic characteristic analysis of the reservoir, clearly defining the lithology, physical property, reservoir space type and pore structure of the low-permeability tight reservoir, establishing the reservoir evaluation standard, carrying out the comprehensive evaluation of the reservoir and discussing the control of sequence deposition on the reservoir development is a technical problem worth exploring. SUMMARY

[0007] In view of the deficiencies of the prior art, the present application provides a control analysis method for braided river sedimentary reservoir development, which comprises:

[0008] The mutual calibration of core, logging and seismic data is utilized to establish a comprehensive response mode of marker bed interface, calculation of three porosities and PE index combined with logging interface and seismic interface, and to establish a comprehensive response mode of rock facies, logging facies and seismic facies;

[0009] Based on the comprehensive response mode of the marker bed interface, different order marker bed correlation is completed, a high-frequency sequence framework is established, and small layer division and correlation are completed;

[0010] Under the constraint of high-frequency sequence framework, the sedimentary microfacies profile and plane distribution of each small layer are determined by well-to-seismic combination based on the integrated response mode of rock facies-logging facies-seismic facies.

[0011] The reservoir lithology, physical property, reservoir space type, pore structure and their combination characteristics are described, the reservoir micro characteristics are analyzed, and the average throat distribution of different types of reservoir samples is analyzed.

[0012] The geological-logging-seismic-production multi-parameter integrated reservoir evaluation standard is established by comprehensively analyzing the reservoir sedimentation and micro characteristics, combining with logging, seismic and well production conditions, different weights are given to the evaluation parameters, and the comprehensive evaluation profile comparison and plane comprehensive evaluation of gas-bearing reservoirs are completed.

[0013] The control analysis of high-frequency sequence sedimentation on reservoir development is completed.

[0014] In one embodiment, the establishment of the integrated response mode of marker bed interface-calculated three porosity and PE index combined with logging interface-seismic interface includes:

[0015] The combination type characteristics of reservoir section curves are determined, the lithology is calibrated, and the lithology sensitive curve is searched;

[0016] The marker bed is identified by using the lithology sensitive curve, PE and calculated three porosity tight sandstone section coincidence method, and the marker bed is divided into different levels according to the core-logging identification difficulty of the marker bed;

[0017] The marker bed is calibrated on the seismic profile by seismic synthetic record, and the integrated response mode of lithology interface-calculated three porosity and PE index combined with logging interface-seismic interface of the marker bed is established.

[0018] In one embodiment, the establishment of high-frequency sequence framework and completion of small layer division and comparison includes:

[0019] Under the constraint of seismic marker bed, the marker bed correlation framework is established, the calculated three porosity logging curve is calculated by core calibration, the high-frequency sequence interface is identified and divided by using the tight sandstone section coincidence method combined with PE curve;

[0020] Under the constraint of marker bed correlation framework, the small layer division and correlation are completed according to the field development actual situation based on the division results of high-frequency sequence interface.

[0021] In one embodiment, the determination of sedimentary microfacies profile and plane distribution by well-to-seismic combination includes:

[0022] Based on the small layer division and correlation results, the sedimentary facies within each small layer is completed by well-to-seismic combination based on the integrated response mode of rock facies-logging facies-seismic facies.

[0023] According to a seismic time window corresponding to the purpose sublayer, a seismic sensitive amplitude attribute capable of reflecting a sublayer sedimentary microfacies is extracted, and a distribution characteristic of a planar sedimentary microfacies is described through well-seismic combination.

[0024] In one embodiment, the description of the reservoir lithology, physical property, reservoir space type and pore structure includes:

[0025] A lithology classification triangle is made by using thin section identified grain component quartz, feldspar and debris data, and a reservoir rock type is determined;

[0026] A reservoir space type is analyzed, and a pore type such as a large pore, a medium pore, a small pore and a micro pore is determined;

[0027] By using the physical property analysis result, a reservoir physical property of different lithology and a reservoir overall physical property characteristic are analyzed, and a reservoir type is determined;

[0028] By using the mercury injection curve experiment data, a mercury injection curve graph and a pore throat distribution graph are made, and a throat radius parameter of different types of reservoirs is averaged to make a throat distribution graph, so as to count a throat distribution characteristic of different types of reservoirs;

[0029] By means of the throat distribution characteristic of the reservoir and the mercury injection parameter counting, a throat type belonging to a large throat, a medium throat, a fine throat and a micro throat is described and evaluated;

[0030] According to a combination of the sample pore and throat size, a pore throat combination distribution histogram is made, and a micro pore throat combination characteristic of the reservoir is determined.

[0031] In one embodiment, the establishment of the geological-logging-seismic-production multi-parameter integrated reservoir evaluation standard includes:

[0032] By using a high frequency sequence sublayer division result based on well-seismic combination, a calculation three porosity coincidence method and a PE index comprehensive method, and a sedimentary microfacies distribution characteristic and a reservoir micro feature analysis of the purpose sublayer based on rock facies-logging facies-seismic facies, an evaluation parameter is comprehensively considered, and a geological-logging-seismic-production integrated reservoir evaluation standard is established; wherein the evaluation parameter includes at least one of the following parameters: a sedimentary facies belt, a lithology, a reservoir physical property, a pore structure, an electrical property, a seismic attribute and a straight well production yield;

[0033] According to a physical property standard of the reservoir classification evaluation, a porosity parameter is mainly considered, and parameters such as a sedimentary microfacies, a lithology, a logging electrical property, a geophysical attribute and an actual yield are considered, different weights are given, and the reservoir is comprehensively classified and evaluated;

[0034] The reservoir comprehensive classification and evaluation result is listed in a single well high frequency sequence, a sedimentary microfacies division and a well-to-well sedimentary microfacies comparison;

[0035] Based on the constraint of the fourth and fifth high-frequency sequence framework, and in combination with the lateral distribution characteristics of the favorable sedimentary microfacies of the reservoir development, the classified reservoirs are compared and analyzed in the horizontal direction.

[0036] In one embodiment, the control analysis of the high-frequency sequence deposition on the reservoir development includes:

[0037] The analysis of the influence and control of the high-frequency sequence and the deposition on the reservoir development includes the influence on the reservoir physical property, the macroscopic distribution, the rhythm and the microscopic characteristics of the reservoir.

[0038] The present application provides a control analysis device for the braided river sedimentary reservoir development, and the device includes:

[0039] The comprehensive response mode determination module is used for establishing the comprehensive response mode of the marker bed interface, the calculation of the three porosities and the PE index, the combination of the logging interface and the seismic interface, and the comprehensive response mode of the rock facies, the logging facies and the seismic facies by using the mutual calibration of the core, the logging and the seismic data.

[0040] The high-frequency sequence and the small layer division comparison module is used for completing the comparison of different levels of marker beds, establishing the high-frequency sequence framework, and completing the small layer division comparison based on the comprehensive response mode of the marker bed interface.

[0041] The sedimentary microfacies distribution description module is used for completing the comparison of the sedimentary microfacies of the well profile in each small layer based on the comprehensive response mode of the rock facies, the logging facies and the seismic facies under the constraint of the high-frequency sequence framework, extracting the seismic facies attribute of the target layer by using the along-layer seismic slicing technology, and determining the sedimentary microfacies profile and the plane distribution by combining the well and the seismic.

[0042] The reservoir microscopic characteristic analysis module is used for describing the reservoir lithology, the physical property, the reservoir space type and the pore structure and the combination characteristics, analyzing the reservoir microscopic characteristics, and analyzing the average throat distribution of the reservoir samples of different types.

[0043] The reservoir evaluation standard module is used for establishing the integrated reservoir evaluation standard of the geology, the logging, the seismic and the production by combining the reservoir deposition, the reservoir microscopic analysis, the logging, the seismic and the well production.

[0044] The different weights are given to the reservoir evaluation parameters, and the single-well target layer reservoir comprehensive evaluation is carried out.

[0045] The reservoir development control analysis module is used for completing the control analysis of the high-frequency sequence deposition on the reservoir development.

[0046] In one embodiment, the comprehensive response mode determination module is also used for:

[0047] The reservoir section curve combination type characteristics are determined, the lithology is calibrated, and the lithology sensitive curve is searched.

[0048] The lithology sensitive curve and the calculated three porosity dense sandstone section coincidence method are used to identify marker beds, and the marker beds are divided into different levels according to the core-logging identification degree of the marker beds;

[0049] The marker beds are calibrated to seismic profiles through seismic synthetic records, and a comprehensive response mode of the lithology interface-calculated three porosity and PE index combined with logging interface-seismic interface of the marker beds is established.

[0050] In one embodiment, the high-frequency sequence and small layer division contrast module is further used to:

[0051] Under the constraint of the seismic marker beds, a marker bed contrast framework is established, the calculated three porosity and logging curves are calibrated through cores, the high-frequency sequence interface is identified and divided by using the dense sandstone section coincidence method combined with the PE curve;

[0052] Under the constraint of the marker bed contrast framework, the small layer division and contrast are completed based on the high-frequency sequence interface division result and according to the actual situation of field development.

[0053] In one embodiment, the sedimentary microfacies distribution depiction module is further used to:

[0054] Based on the small layer division and contrast result, the comprehensive response mode of rock facies-logging facies-seismic facies is combined to complete the sedimentary facies well profile contrast in each small layer;

[0055] According to the seismic time window corresponding to the target small layer, the seismic sensitive amplitude attribute capable of reflecting the sedimentary microfacies of the small layer is extracted, and the distribution characteristics of the planar sedimentary microfacies are depicted through well-seismic combination.

[0056] The present application provides an electronic device comprising:

[0057] a processor;

[0058] a memory for storing instructions executable by the processor;

[0059] wherein the processor is configured to execute the instructions to implement the control analysis method of braided river deposition reservoir development as described above.

[0060] The above technical solution has the following beneficial effects:

[0061] The present application provides a kind of based on core experiment analysis, using core experiment data calibration, calculate three porosity coincidence method, photoelectric absorption cross section index (PE) curve calibration method, combined with geophysical section technology, establish high-frequency sequence framework and realize the boundary description of sedimentary microfacies, further carry out the study of reservoir microcharacteristics (especially pore structure, pore throat combination), based on the above analysis, establish geological-logging-seismic-production integrated reservoir evaluation standard, assign different weights to each evaluation parameter, comprehensive evaluation reservoir, based on the constraint of high-frequency sequence framework, combined with the lateral distribution characteristics of favorable sedimentary microfacies of reservoir development, complete the lateral correlation and plane reservoir evaluation distribution analysis of classified reservoir, finally clear the analysis method of high-frequency sequence deposition on the development control of reservoir macro and micro characteristics.

[0062] The present application can calibrate logging curve in detail, find lithology sensitive curve (including PE curve), use core, logging and seismic data mutual calibration, establish the comprehensive response mode between marker bed interface-(calculate three porosity coincidence method+PE) logging interface-seismic interface and rock facies-logging facies-seismic facies, complete the division and correlation of high-frequency sequence, sedimentary microfacies, use along layer seismic section technology, extract sensitive attribute that can reflect the purpose small layer sand body, determine sedimentary microfacies plane distribution by well-seismic combination, further describe reservoir lithology and reservoir space type through slice observation, physical property and mercury injection experiment analysis, analyze reservoir microcharacteristics such as pore structure and pore throat combination, based on the above analysis, establish geological-logging-seismic-production integrated reservoir evaluation standard. Assign different weights to each evaluation parameter, comprehensive evaluation reservoir, based on the constraint of high-frequency sequence framework, combined with the lateral distribution characteristics of favorable sedimentary microfacies of reservoir development, complete the lateral correlation and plane reservoir evaluation distribution analysis of classified reservoir, summarize the influence of sequence deposition on reservoir development. Form a kind of well-seismic combination's shallow braided river sediment, reservoir description and evaluation and sequence deposition control analysis method of reservoir development. The method is strong in operability, conforms to the principles of sedimentology, logging and seismology and geological reality, solves the problems of braided river stratum complexity, stratum correlation, sedimentary microfacies boundary description, reservoir microcharacteristics description, reservoir comprehensive evaluation and development control factor analysis difficulty by well-seismic combination, macro and micro combination.

[0063] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and attained by the structure particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF DRAWINGS

[0064] Figure 1 It is a flow chart of the control analysis method of braided river sediment reservoir development of the present application embodiment one;

[0065] Figure 2 is a flow chart of a method for analyzing the development of macro and micro characteristics of a shallow water braided river formation in a few well area of an embodiment three of the present application and control of the reservoir by the formation;

[0066] Figure 3 is a photograph of the lithology and sedimentary structure characteristics of the core of the target interval of an embodiment three of the present application;

[0067] Figure 4 is a cross plot of the lithology identification of the well logging curve of the target interval of an embodiment three of the present application;

[0068] Figure 5 is the result of the measured core porosity of the A1 well of the target interval of an embodiment three of the present application, the three porosity correction and superposition;

[0069] Figure 6 is the result of the core-calculated three porosity and PE index combined with the logging-seismic interface calibration and response characteristics of the marker layer interface of the Upper Paleozoic formation of an embodiment three of the present application;

[0070] Figure 7 is the result of the marker layer comparison on the well tie section under the constraint of the seismic section of the Upper Paleozoic formation of an embodiment three of the present application;

[0071] Figure 8 is the result of the core high frequency sequence interface identification of the target interval of an embodiment three of the present application, the calibration of the logging curve;

[0072] Figure 9 is the result of the high frequency sequence division and small layer comparison of the Upper Paleozoic and target interval of an embodiment three of the present application;

[0073] Figure 10 is the integrated response mode of the lithofacies, logging facies and seismic facies of the He1 member of the Lower Shihezi Formation of the target interval of the research area of an embodiment three of the present application;

[0074] Figure 11 is the result of the comparison of the sedimentary microfacies on the well tie section under the constraint of the seismic section of the He1 member of the Lower Shihezi Formation of the target interval of the research area of an embodiment three of the present application;

[0075] Figure 12 is the minimum trough amplitude attribute and sedimentary microfacies plan of the H1-2 small layer of the He1 member of the Lower Shihezi Formation of the target interval of an embodiment three of the present application;

[0076] Figure 13 is the sandstone triangle and reservoir space type characteristics under the microscope of the He1 member of the Lower Shihezi Formation of the target interval of the research area of an embodiment three of the present application;

[0077] Figure 14is the reservoir sample physical property distribution characteristic of the first member of the Lower Shihetzuzi Formation in the research area of the third embodiment of the present application;

[0078] Figure 15 is the sandstone capillary pressure curve characteristic and the throat radius distribution characteristic of the first member of the Lower Shihetzuzi Formation in the research area of the third embodiment of the present application;

[0079] Figure 16 is the pore throat characteristic parameter table of the first member of the Lower Shihetzuzi Formation in the research area of the third embodiment of the present application;

[0080] Figure 17 is the reservoir evaluation standard table of the first member of the Lower Shihetzuzi Formation in the research area of the third embodiment of the present application;

[0081] Figure 18 is the comparison chart of different types of reservoirs of the first member of the Lower Shihetzuzi Formation in the research area of the third embodiment of the present application;

[0082] Figure 19 is the H1-2 small layer reservoir comprehensive evaluation plan of the first member of the Lower Shihetzuzi Formation in the research area of the third embodiment of the present application;

[0083] Figure 20 is the structural block diagram of the control analysis device for braided river sedimentary reservoir development in the fourth embodiment of the present application;

[0084] Figure 21 is the schematic diagram of an electronic device in the fifth embodiment of the present application. DETAILED DESCRIPTION

[0085] The present application will be further described in conjunction with the embodiments, but the embodiments of the present application are only exemplary descriptions, and the embodiments do not constitute a limitation on the present application in any case.

[0086] Embodiment one

[0087] The embodiments of the present application provide a control analysis method for braided river sedimentary reservoir development, as shown in Figure 1 The method comprises the following steps:

[0088] Step 101, using the mutual calibration of core, logging and seismic data, establishing a comprehensive response mode of marker bed interface-computing three porosities+PE logging interface-seismic interface, and establishing a comprehensive response mode of rock facies-logging facies-seismic facies;

[0089] Step 102, based on the comprehensive response mode of the marker bed interface, completing the comparison of different levels of marker beds, establishing a high-frequency sequence framework, and completing the small layer division and comparison;

[0090] Step 103, under the constraint of high-frequency sequence framework, based on rock facies-logging facies-seismic facies comprehensive response mode, the sedimentary microfacies correlation of each small layer is completed, the seismic attribute of the target layer is extracted by using the along-layer seismic slice technology, and the sedimentary microfacies profile and plane distribution are determined by well-seismic combination;

[0091] Step 104, the characteristics of reservoir lithology, physical property, reservoir space type and pore structure and their combination are described, the reservoir micro characteristics are analyzed, and the average throat distribution of different types of reservoir samples is analyzed;

[0092] Step 105, combining the sedimentation of reservoir, the micro analysis of reservoir, the logging, the seismic and the well production, the geological-logging-seismic-production multi-parameter integrated reservoir evaluation standard is established, different weights are given to the evaluation parameters, the comprehensive evaluation profile of reservoir is completed, and the plane comprehensive evaluation of gas-bearing reservoir is completed;

[0093] Step 106, the control analysis of high-frequency sequence sedimentation on reservoir development is completed.

[0094] Specifically, in step 101, the establishment of the comprehensive response mode of the marker layer interface-calculated three porosity and PE index combined with the logging interface-seismic interface includes:

[0095] The curve combination type characteristics of the reservoir section are determined, the lithology is calibrated, and the lithology sensitive curve is found;

[0096] The marker layer is identified by using the lithology sensitive curve, PE and calculated three porosity of dense sandstone section coincidence method, and the marker layer is divided into different levels according to the core-logging identification degree of the marker layer;

[0097] The marker layer is calibrated on the seismic profile by using the seismic synthetic record, and the comprehensive response mode of the lithology interface-calculated three porosity and PE index combined with the logging interface-seismic interface of the marker layer is established.

[0098] In step 102, the establishment of high-frequency sequence framework and the completion of small layer division and comparison include:

[0099] Under the constraint of seismic marker layer, the marker layer correlation framework is established, the three porosity logging curve is calculated by core calibration, the high-frequency sequence interface is identified and divided by using the coincidence method of dense sandstone section combined with PE curve;

[0100] Under the constraint of marker layer correlation framework, based on the division results of high-frequency sequence interface, the small layer division and correlation are completed according to the actual development situation.

[0101] In step 103, the sedimentary microfacies profile and plane distribution are determined by well-seismic combination, which includes:

[0102] Based on the small layer division contrast result, combined with the rock facies-logging facies-seismic facies comprehensive response mode, the sedimentary facies of each small layer is completed.

[0103] According to the seismic time window corresponding to the purpose small layer, the seismic sensitive amplitude attribute reflecting the small layer sedimentary microfacies is extracted, and the distribution characteristics of the plane sedimentary microfacies are described through well-seismic combination.

[0104] In step 104, the description of the reservoir lithology, physical property, reservoir space type and pore structure includes: using thin section identified grain component quartz, feldspar and debris data to make lithology classification triangle, and determining the reservoir rock type;

[0105] Using rock casting thin section, scanning electron microscope and other observation, the reservoir space type is analyzed, and the types of large pores, medium pores, small pores and micro pores are determined;

[0106] Using the physical property analysis result, the physical property of different lithology reservoir and the overall physical property characteristics of the reservoir are analyzed, and the reservoir type is determined;

[0107] Using the mercury injection curve experimental data, the mercury injection curve graph and the throat distribution graph are made, the throat radius parameters of different types of reservoirs are averaged, the throat distribution graph is made, and the throat distribution characteristics of different types of reservoirs are counted;

[0108] Through the throat distribution characteristics of the reservoir and the mercury injection parameter statistics, the throat type is described and evaluated as large throat, medium throat, fine throat and micro throat;

[0109] According to the combination of the pore and throat size of the sample, the pore throat combination distribution histogram is made, and the micro pore throat combination characteristics of the reservoir are determined.

[0110] In step 105, the establishment of the geological-logging-seismic-production multi-parameter integrated reservoir evaluation standard includes:

[0111] Using the high-frequency sequence small layer division result based on well-seismic combination, the calculation of three porosity coincidence method and the comprehensive method of PE index, and based on the sedimentary microfacies distribution characteristics and the micro characteristics of the reservoir (especially the throat distribution and the pore throat combination) of the purpose small layer, the evaluation parameters are considered, and the geological-logging-seismic-production integrated reservoir evaluation standard is established. The evaluation parameters include at least one of the following parameters: sedimentary facies belt, lithology, reservoir physical property, pore structure, electrical property, seismic attribute and straight well production yield. According to the physical property standard of the reservoir classification evaluation, the porosity parameter is mainly considered (such as the weight value is 0.3), but at the same time, the sedimentary microfacies, lithology, logging electrical property and geophysical attribute, actual yield and other parameters are considered, different weight values are given, the reservoir is comprehensively classified and evaluated, and the reservoir comprehensive classification and evaluation result is placed in the single well high-frequency sequence, sedimentary microfacies division and well-to-well sedimentary microfacies correlation.

[0112] Based on the constraint of the four-level and five-level high-frequency sequence framework, in combination with the lateral distribution characteristics of the favorable sedimentary microfacies of reservoir development, the classified reservoirs are compared and analyzed in the horizontal direction and the plane reservoir evaluation and distribution analysis are completed.

[0113] In step 106, the analysis of the control of high-frequency sequence sedimentation on reservoir development includes:

[0114] The analysis of the influence and control of high-frequency sequence and sedimentation on reservoir development includes the influence on reservoir physical properties, macroscopic distribution, rhythm and microscopic characteristics of the reservoir.

[0115] The high-frequency sequence refers to the sedimentary response generated by the four-level and above base level cycles. The four-level high-frequency sequence is formed in the Milankovitch long cycle and is roughly equivalent to the quasi-sequence group of Brett; the five-level high-frequency sequence is formed in the Milankovitch short cycle and is roughly equivalent to the single sequence of Vail or the quasi-sequence of Brett.

[0116] The embodiment provides a control analysis method of braided river sedimentary reservoir development, based on core experiment analysis, using core experiment data calibration, calculating three porosity coincidence method, PE curve, combining with geophysical slice technology, establishing high-frequency sequence framework and realizing sedimentary microfacies boundary description, further developing reservoir microscopic characteristics (especially pore structure, pore throat combination) and reservoir evaluation and distribution research, and finally determining the control effect of sequence sedimentation on the development of macroscopic and microscopic characteristics of the reservoir.

[0117] Embodiment two

[0118] The embodiment of the application also provides a method for sedimentary description of a shallow braided river stratum in a few well areas and control analysis of the development of macroscopic and microscopic characteristics of the reservoir.

[0119] The embodiment is aimed at the problems encountered in the exploration and development stage of complex braided river oil and gas reservoirs in a few well area, such as variable sedimentary microfacies, vertical multi-period cutting and superimposition, complex stratigraphic distribution and sedimentary microfacies plane delineation, and difficulty in accurately dividing small layers and describing sedimentary sand body distribution, reservoir microscopic characteristics and the like. Based on detailed observation and analysis of drilling cores, in combination with well logging and seismic data, and based on geological-logging-seismic integrated research, sensitive attribute parameters of geophysics are optimized, small layer correlation, fine delineation of microfacies boundaries, and determination of reservoir macroscopic distribution in the framework of the target layer are carried out. Further, through thin section observation, physical property and mercury injection experiment analysis, reservoir lithology and reservoir space type are described, reservoir physical property is counted, and pore structure and other reservoir microscopic characteristics are analyzed. Based on the above analysis, a multi-parameter integrated reservoir evaluation standard is established, comprehensive reservoir evaluation and distribution characteristic analysis are carried out, and the influence of sedimentation on reservoir development is summarized. The research method can provide a reference for similar gas reservoir stratigraphic sedimentation and reservoir research, and the research results and conclusions can provide a geological basis for further evaluation and prediction of the gas reservoir, so as to provide a basis for fine description of braided river low-permeability tight gas reservoirs in a few well area.

[0120] The method provided by the embodiment comprises the following steps:

[0121] (1) Detailed observation of core samples of the target layer is carried out to determine the main lithology and approximate sedimentary environment of the target layer, and the response characteristics of various logging curves of different lithologies are determined, from which lithology-sensitive logging curves and the change trend of the lithology-sensitive logging curves with the change of lithology are found.

[0122] (2) Based on the identification of the lithology-sensitive logging curves in step (1), the tight sandstone segment is selected, acoustic wave porosity and density porosity are calculated by using the porosity interpretation model of acoustic wave and density, and are placed in the same logging curve channel with the neutron porosity, the three porosities are corrected by using the measured core porosity, and then the calculated three porosity curves are superimposed at the tight sandstone segment.

[0123] (3) The lithology-sensitive logging curves and the calculated three porosities obtained in step (2) are rearranged and combined to identify the marker layers of the target layer in the existing drilling, and the marker layers are divided into different orders according to the core-logging identification difficulty of the marker layers. The marker layers are detailedly calibrated on the seismic profile by using the seismic synthetic record, and a comprehensive response mode of the lithology interface-calculated three porosities+PE logging interface-seismic interface of the marker layers is established. Figure 6

[0124] ​(4) Using the method of well-seismic combination and step-by-step constraint, the contrast of different level marker bed interfaces is completed; using the high-frequency sequence interface identified by core, the lithology sensitive logging curve (including PE) and the calculated three porosity curves are further calibrated, the logging response characteristics of high-frequency sequence interface are summarized, and the high-frequency sequence interface identification of all wells is completed; under the constraint of well-seismic combination of different level marker bed interwell lateral contrast, the high-frequency sequence division framework is established, and the small layer division and contrast are completed according to the sand body distribution and actual development needs.

[0125] (5) On the basis of step (1) and (2) analysis, further using the detailed calibration of lithofacies by rock facies in the main target layer, using the calibration of seismic facies by lithofacies, the comprehensive response mode of rock facies-lithofacies-seismic facies is summarized. Based on the small layer division and contrast results of step (4), the sedimentary microfacies is connected well, and according to the seismic time window corresponding to the target small layer, the seismic sensitive amplitude attribute reflecting the sedimentary microfacies of small layer is extracted, and the distribution characteristics of plane sedimentary microfacies are described by well-seismic combination.

[0126] (6) Using the thin section identified grain component quartz, feldspar and debris data to make lithology classification triangle, the reservoir rock type is determined; using the physical property analysis results, the physical property and overall physical property characteristics of different lithology reservoirs are analyzed, and the reservoir type is determined; through cast thin section, the main reservoir space type is analyzed, and it is clear that the pore belongs to large pore, medium pore, small pore and micro pore.

[0127] (7) Using the experimental data of mercury injection curve, the mercury injection curve graph and pore throat distribution graph are made, the mercury injection parameters are counted, the throat type is described and evaluated as large throat, medium throat, fine throat and micro throat, and the micro pore throat combination characteristics of the reservoir in the study area are determined in combination with the pore size determined in step (6).

[0128] (8) Based on the research of reservoir sedimentation and micro characteristics within the high-frequency sequence framework, combined with the parameters of well logging, geophysics and straight well production yield of the target layer reservoir, considering the multi-parameters of sedimentary facies belt, lithology, reservoir physical property, pore structure, electrical property, seismic attribute, straight well yield, etc., the integrated reservoir evaluation standard of geology-logging-seismic-production is established.

[0129] (9) According to the physical property standard of reservoir classification and evaluation, taking porosity as the main parameter (such as weight value 0.3), but also considering the parameters of sedimentary microfacies, lithology, electrical property and geophysical attribute, actual yield, etc., different weight values are given, the reservoir is classified and evaluated, and the reservoir classification results are placed in the single well high-frequency sequence, sedimentary microfacies division and interwell sedimentary microfacies contrast, based on the constraint of four-level and five-level high-frequency sequence framework, combined with the lateral distribution characteristics of favorable sedimentary microfacies of reservoir development, the classified reservoir is compared and evaluated in the lateral and plane reservoir evaluation and distribution analysis is completed.

[0130] (10) Analysis of the influence and control of high-frequency sequence and sedimentation on reservoir development, including the influence on reservoir physical property, macroscopic distribution, rhythmicity and microscopic characteristics of the reservoir.

[0131] The effect realized by the embodiment is that the lithology of the sample is identified through core and slice observation, and the high-frequency sequence distribution characteristics of the target layer are analyzed under the guidance of sequence stratigraphy, sedimentology and petrology geological theory, and the boundaries of sedimentary microfacies are finely described by taking the geophysical sensitive properties as the reference of the planar sedimentary facies. Further, the reservoir lithology and reservoir space type are described, the reservoir physical property is counted, the pore structure and other microscopic characteristics of the reservoir are analyzed, the geological-logging-seismic-production integrated reservoir evaluation standard is established, the lateral correlation of the classified reservoir is completed, the planar gas-bearing reservoir evaluation and distribution analysis are completed, and the influence of sedimentation on reservoir development is analyzed. A method for shallow braided river stratum sedimentation, reservoir description, reservoir evaluation and control analysis of sequence sedimentation on reservoir development in a few well areas is formed. The problems that the braided river lithologic gas reservoir target layer is complex in lithology, it is difficult to accurately and effectively carry out the braided river channel sand body distribution in the small layer unit, and the microscopic characteristics of the reservoir, especially the pore structure analysis, are unclear are solved.

[0132] The method has strong operability, conforms to the principles of sedimentology, petrology and geophysics, and is verified by the application of the braided river lithologic gas reservoir of Sinopec. The method can accurately describe the sedimentary microfacies distribution, microscopic and pore structure characteristics of the reservoir in the small layer framework of the target layer, carry out reservoir evaluation and distribution characteristic analysis, and summarize the control of sedimentation on reservoir development, thereby laying a good foundation for the stratigraphic sedimentation understanding, reservoir geophysical prediction forward model establishment and comprehensive evaluation of the braided river lithologic gas reservoir.

[0133] Embodiment three

[0134] The embodiment of the application also provides a method for analyzing the control of sequence sedimentation on reservoir development by using the geological-seismic method, combining macroscopic and microscopic methods, based on small layer correlation, sedimentary reservoir fine description and comprehensive reservoir evaluation in a few well areas.

[0135] For example Figure 2As shown, the embodiment of the present application provides a kind of detailed calibration logging curve using core observation, look for lithology sensitive curve, using core, logging and mutual calibration of seismic data, establish the approximate response mode between mark layer interface-logging interface-seismic interface and rock facies-logging facies-seismic facies, complete high frequency sequence, sedimentary microfacies division and contrast, using along layer seismic slice technology, extract sensitive attribute that can reflect sand body, well seismic joint comprehensive determination sedimentary microfacies plane distribution;Further through thin section observation, physical property and mercury injection experiment analysis, describe reservoir lithology and reservoir space type, statistics reservoir physical property, analyze pore structure and other reservoir microcharacteristics;Establish reservoir evaluation standard, carry out reservoir comprehensive evaluation, clear sequence sedimentation to the influence of reservoir development.It forms a kind of shallow braided river sequence deposition in less well area, reservoir description and evaluation and the control analysis method of sedimentary to reservoir development.It includes the following steps:

[0136] (1) detailed observation of core sample of the target layer, determine the main lithology and approximate sedimentary environment of the target layer, and the response characteristics of various logging curves of different lithology, find the lithology sensitive logging curve from it, and the change trend of lithology sensitive logging curve with lithology.

[0137] As shown in Figure 1, the thickness of Taizhou group-Xiaoshezi group in Hangjinqi is about 250-300m, the core and thin section of the coring section are observed in detail to determine the lithology. Figure 3 As shown in Figure 2, the core observation and thin section microscopic identification results of the target layer show that the target layer is mainly composed of gravelly coarse sandstone, coarse sandstone and medium sandstone, and the bedding types are various, and the typical lithofacies of high-energy braided channel is developed Figure 3 ), the channel type of the main target layer He 1 section is mainly composed of meter-scale sedimentary cycle with upward shallowing, reflecting the typical braided river deposition Figure 3 ). According to the analysis of rock facies, it is considered that the Taizhou group-Xiaoshezi group in the area belongs to delta-braided river sedimentary system, which can be divided into braided river delta, braided river and meandering braided river sedimentary facies, the target layer He 1 section is braided river deposition, which can be further divided into braided channel heartland, braided channel filling and flood plain microfacies deposition.

[0138] Using lithology identification results to calibrate logging curve, natural gamma curve, neutron curve and photoelectric absorption cross section index (PE) are better in identifying lithology. Therefore, lithology identification chart is developed, mainly the intersection chart of neutron (CNL) and natural gamma (GR), Figure 4That is, the crossplot of the logging curves of different lithology of the core section. It can be seen from the figure that the logging response of conglomerate, sandy conglomerate, coarse sandstone with conglomerate, and coarse sandstone is highly overlapping, and can basically be classified into one category. Therefore, the lithology in the study area is divided into three categories, namely coarse lithology (conglomerate, sandy conglomerate, coarse sandstone with conglomerate, and coarse sandstone), medium-fine sandstone, and mudstone. The natural gamma and neutron curves, and the PE curve change from low to high with the decrease of the particle size of the three types of lithology.

[0139] (2) On the basis of identifying the lithology of the lithology-sensitive logging curve in step (1), the dense sandstone section is selected, the acoustic wave and density porosity interpretation models are used to calculate the acoustic wave porosity and density porosity respectively, and are placed in the same logging curve channel with the neutron porosity, the three porosities are corrected by the measured core porosity, and then the calculated three porosity curves are coincided at the dense sandstone section.

[0140] As Figure 5 is the core sample porosity value of A1 well at 3027m-3034m, which is between 1.2%-8.7%, with an average of 4.07%, which is a typical dense sandstone section. The average values of the density skeleton and the acoustic wave skeleton are about 2.63g / cm3 and 180μs / m respectively, the density porosity and the acoustic wave porosity are calculated, and are placed in the same logging curve channel with the neutron porosity, forming a calculated three porosity logging curve combination, the three porosities are corrected by the measured core porosity, and then the calculated three porosity curves are approximately coincided at the section. Further select gamma (GR), natural potential (SP), caliper (CAL), deep lateral resistivity (LLD), shallow lateral resistivity (LLS), and photoelectric absorption cross section index (PE), and place CAL, GR, and SP curves in one channel, and place the three porosity curves and the resistivity curves in another two channels.

[0141] (3) The lithology-sensitive logging curve and the calculated three porosity obtained in step (2) are used to rearrange and combine, identify the marker layer of the target layer with existing drilling, and divide the marker layer into different levels according to the core-logging identification difficulty of the marker layer. Further through the seismic synthetic record, the marker layer is detailedly calibrated on the seismic profile, and the comprehensive response mode of the lithology interface-calculated three porosity+PE logging interface-seismic interface of the marker layer is established. Figure 6 ).

[0142] According to the difficulty of identifying lithology interface-logging interface of marker bed, 8 marker beds in the study area are divided into 4 levels. 1) The interface of obvious marker bed distributed stably in the whole area: the interface of Taiyuan Formation (T) / Lower Paleozoic Ordovician (O) and the interface of Shiqianfeng Formation (P2sh) / Upper Shihezi Formation (P1s). 2) The interface of marker bed distributed stably and easy to identify in the whole area: Shanxi Formation (S) / Taiyuan Formation (T) and Shan 2 Member (S2) / Shan 1 Member (S1). 3) The interface of marker bed distributed stably and easy to identify in most areas: Lower Shihezi Formation (H) / Shanxi Formation (S) and the interface of Shan 1-1 Sublayer (S1-1) / Shan 1-2 Sublayer (S1-2). 4) The interface of marker bed distributed stably and identifiable in local areas: Upper Shihezi Formation (P2s) / Lower Shihezi Formation (H) and Hebei 2 Member (H2) / Hebei 1 Member (H1).

[0143] Through the calibration of synthetic seismogram, the logging interface of the above-mentioned marker bed is calibrated to seismic interface, and the comprehensive response characteristic mode of lithology interface-calculated three porosity+PE logging interface-seismic interface of marker bed is summarized. Figure 6 Through the comprehensive analysis of well-seismic combination and lateral tracking of marker bed interface, three marker bed interfaces in the study area can be well identified and regionally tracked on seismic profile, which are the interface of Taiyuan Formation / Lower Paleozoic, the interface of Shiqianfeng Formation / Upper Shihezi Formation and the interface of Lower Shihezi Formation / Shanxi Formation distributed stably and easy to identify in most areas of the study area. Figure 6 The corresponding seismic interpretation horizons are T9bc, T8 and T9d respectively. Two marker bed interfaces distributed stably and identifiable in local areas can be roughly identified and tracked on seismic profile, and the corresponding seismic interpretation horizons are T9e and T9f respectively. Figure 6 The marker bed distributed stably and easy to identify in most areas can also be tracked locally on seismic profile, and the corresponding seismic interpretation horizon is T9c1.

[0144] (4) The correlation of marker bed interfaces of different levels is completed by well-seismic combination and step-by-step constraint. The lithology sensitive logging curves (including PE) and calculated three porosity curves are further calibrated by using the high-frequency sequence interface identified by core, the logging response characteristics of high-frequency sequence interface are summarized, and the identification of high-frequency sequence interface in all wells is completed. Under the constraint of lateral correlation of marker bed in different levels by well-seismic combination, the high-frequency sequence division framework is established, and the small layer division and correlation are completed according to the distribution of sand body and the actual development needs.

[0145] First, marker bedding layers with clearly defined lithology-logging-seismic interfaces are compared across well-connected profiles. Then, well-connected comparisons are conducted on relatively stable and easily identifiable marker bedding layers throughout the region. This process is repeated, employing a step-by-step constraint method based on marker bedding interfaces. Under the constraints of this two-tiered marker bedding-logging interface comparison framework, well-seismic calibration results serve as a crucial reference for inter-well lateral comparisons, with lateral thickness variations referenced to seismic profiles. Figure 7 To avoid cross-contrast in the comparison of marker layers, the following steps are taken: First, inter-well comparisons of the next level of marker layers are conducted. Second, the trend of thickness variation in the seismic profile is used to constrain the relatively indistinct marker layer interfaces of the Lower Shihezi Group / Shanxi Group, S1-1 / S1-2 marker layers, and the relatively stable and identifiable marker layer interfaces of the Upper Shihezi Group / Lower Shihezi Group and Box 2 / Box 1 interfaces. Figure 7 This refers to the comparison results of different levels of marker layer interfaces after tight binding and constraint through well seismic testing.

[0146] Under the constraints of the aforementioned low-frequency sequence boundaries, further detailed core observation allows for the identification of high-frequency sequence boundaries. In this area, fourth- and fifth-order high-frequency sequence boundaries are generally lithological abrupt transitions between sandstone and mudstone, or riverbed scour surfaces, exhibiting pronounced abrupt changes in electrical logging response characteristics (e.g., gamma curves, calculated three-porosity curves, photoelectric absorption cross-section index (PE)). Above and below these lithological and lithofacies interfaces or riverbed scour surfaces, high-gamma transitions occur abruptly to low-gamma transitions, and high-PE transitions occur abruptly to low-PE transitions. The calculated three-porosity composite curves often abruptly change from overlapping to separating. Within each high-frequency sequence, the well logging gamma curve gradually increases with increasing mud content in the rock, and the calculated three-porosity curves generally exhibit both overlapping and separating characteristics, thus forming a high-frequency sequence with a clear upward-refining depositional pattern. Figure 8 Based on the high-frequency sequence stratigraphy and the distribution of mudstone interlayers in the strata, the main target layer, the Taiyuan Formation-Lower Shihezi Formation, was divided into 13 sub-layers. Under the constraints of marker bedding correlation sections and seismic profiles, sub-layer correlation was completed. Figure 9 ).

[0147] (5) Based on the analysis in steps (1) and (2), the well logging facies are further calibrated in detail using the lithofacies of the main target layer, and the seismic facies are calibrated using the well logging facies. The comprehensive response pattern of lithofacies-well logging facies-seismic facies is summarized. Based on the sub-layer division and comparison results in step (4), sedimentary micro-connection well comparison is carried out. According to the seismic time window corresponding to the target sub-layer, the seismic sensitive amplitude attributes that can reflect the sedimentary microfacies of the sub-layer are extracted, and the distribution characteristics of planar sedimentary microfacies are characterized by well-seismic combination.

[0148] Through the study of the rock facies analysis of the main target layer of the first member of the Lower Shihezi Formation in step (1), the study area mainly contains the following three microfacies: braided river channel, channel filling and flood plain. Further through the detailed calibration of logging curves by rock facies, core-logging combination, the specific rock facies and logging facies characteristics are as follows:

[0149] River channel bar: typical scour surface and various types of cross-bedding (including gravel) coarse sandstone facies can be seen, and the logging curve Gr is high-amplitude dent-shaped box-shaped, and the calculated three porosity curves are slightly separated or approximately coincided.

[0150] Channel filling microfacies: medium and small cross-bedding sandstone facies and sand layering fine sandstone can be seen, and the logging curve Gr is medium-amplitude dent-shaped box-shaped and bell-shaped; among the calculated three porosity curves, the acoustic time difference porosity and the density porosity are approximately coincided, while the neutron porosity is slightly increased, and is separated from the other two calculated porosity curves, or the calculated three porosity curves are approximately coincided with low values.

[0151] Flood plain microfacies: part of the lithology is mainly mudstone, with siltstone, and occasionally deformed mudstone bedding can be seen, the logging curve Gr is low-amplitude flat and dent-shaped, and the curve abnormal amplitude is low; the neutron porosity curve is obviously higher than the calculated acoustic time difference and the calculated density porosity curves, and can form an obvious envelope with the other two calculated porosity curves.

[0152] Through the above logging response characteristics corresponding to the rock sedimentary structure of the drilling core, further according to the research of the amplitude, shape, contact relationship, combination characteristics of the logging curve, the logging facies model of the main sedimentary facies of the Lower Shihezi Formation in the study area is established. Figure 10 Based on the logging facies analysis results, the seismic profile is calibrated in detail by using the synthetic seismogram, and the seismic facies is analyzed according to the corresponding relationship (model) of geology-logging-seismic, the conversion model of seismic reflection structure, amplitude attribute and related sedimentary microfacies type is established, and the seismic facies characteristics corresponding to the rock facies-logging facies are further summarized. For example, the sandstone logging curve of the Lower Shihezi Formation in the study area is mainly box-shaped, with a small amount of bell-shaped and finger-shaped. Perpendicular to the source direction, the sand body of the first member of the Lower Shihezi Formation is characterized by low-frequency and medium-strong wave valley reflection on the seismic profile, which is usually a river channel sand body due to the strong erosion of underlying mudstone deposition, and has a strong wave impedance reflection interface, so the seismic profile usually presents a strong amplitude bright spot reflection, which is mainly distributed in the braided river channel bar microfacies. The medium-weak amplitude and weak amplitude reflections are confirmed by drilling data to be more developed in the channel filling and flood plain deposition. According to the above analysis, it is considered that the channel bar microfacies usually has a medium-strong amplitude wave valley reflection, the channel filling microfacies has a medium-weak amplitude wave valley reflection, and the flood plain microfacies has a typical weak amplitude reflection, and accordingly, the comprehensive response model of rock facies-logging facies-seismic facies is further summarized. Figure 10

[0153] ​Using the well logging facies characteristics reflected by the lithofacies assemblage in the study area, single-well facies division was carried out on the Shihezi Formation below the main target layer in the study area. Based on the sub-layer division comparison results of the high-frequency sequence identification in step (4), the basic framework for sub-layer sedimentary microfacies analysis was used. With the well-side seismic facies patterns and their variation trends corresponding to the single wells as constraints, sedimentary microfacies comparison of the main well-connected profiles was carried out. Figure 11 This allows for the identification of seismic facies and the characterization of sedimentary microfacies. Then, each profile is traced, compared, and closed in areas with no or few wells.

[0154] Based on the division of sedimentary microfacies in single wells and the comparison of sedimentary microfacies across wells, and using a high-frequency sequence stratigraphic framework and stratigraphic slicing technology, geophysical sensitive attributes of the target sub-layers are extracted. On the plane, the seismic amplitude attributes of each sub-layer serve as constraints on the boundaries of sedimentary microfacies. Well-seismic analysis is combined and cross-calibrated to compile planar sedimentary microfacies diagrams for each sub-layer. For example, the H12 sub-layer in the study area can be roughly divided into six composite channel zones from west to east on the plane. Figure 12 ).

[0155] (6) Use the data of quartz, feldspar and rock fragments identified by thin section to make a lithological classification triangle diagram to clarify the reservoir rock type; use the results of physical property analysis to analyze the physical properties of reservoirs of different lithologies and the overall physical property characteristics of reservoirs to clarify the reservoir type; analyze the main reservoir space types of reservoirs through cast thin sections and clarify whether the pores belong to macropores, mesopores, micropores and micropores.

[0156] A lithological classification triangulation diagram was created based on the statistical results of quartz, rock fragments, and feldspar from thin section data of the study area. Figure 13 (Left) The reservoir rocks in this area, specifically the He 1 section, are mainly composed of lithic (gravelly) coarse sandstone and lithic quartz (gravelly) coarse sandstone, with minor amounts of fine-grained conglomerate and medium-grained sandstone. The sandstone grain sorting is predominantly medium to poor, with sub-angular roundness as the main characteristic, followed by sub-rounded. Overall, the structural maturity is low. Figure 13 Right.af). Particle support between debris, point-line contact, concave-convex contact ( Figure 13 Right.af).

[0157] Statistical results of physical properties of different lithologies show that the porosity and permeability of gravelly coarse sandstone and coarse sandstone reservoirs are significantly better than those of conglomerate, medium sandstone, and fine sandstone. Figure 14 a) indicates that reservoir development in this area is controlled by sedimentary microfacies. Statistical analysis of physical properties of all samples with porosity greater than 4% shows an average porosity of 8.9% ( Figure 14 (b) Referring to the classification and evaluation criteria for clastic reservoir porosity, which uses 25%, 15%, and 10% as boundaries to categorize them as high-porosity, medium-porosity, low-porosity, and ultra-low-porosity, section 1 is generally classified as a low-porosity to ultra-low-porosity reservoir. The average permeability is 0.53 mD, and 87% of the samples have a permeability less than 1 mD. Figure 14d), also refer to the classification and evaluation criteria of high, medium, low and tight permeability of clastic rock reservoirs, taking 100 mD, 10 mD and 1 mD as boundaries, the He 1 Member is mainly a low-permeability-tight reservoir with poor flow capacity. Therefore, the He 1 Member in the study area is generally a low-porosity-ultra-low-porosity-low-permeability-tight reservoir. The crossplot of porosity and permeability of samples from the He 1 Member in the study area shows that Figure 14 c) the overall porosity and permeability have a good correlation, indicating that the reservoir space type is mainly pore type.

[0158] According to the identification of casting thin sections, image analysis and SEM data analysis, the reservoir space types in the study area were analyzed. The pore types in the study area are mainly intergranular dissolved pores, intragranular dissolved pores and primary intergranular pores, and mold pores, intercrystalline micropores are also well developed, and a small amount of microfractures Figure 13 right. A-f). According to the pore diameter data identified by casting thin sections, the pore size is mainly medium and small.

[0159] (7) Using the experimental data of mercury injection curve, the mercury injection curve and pore throat distribution map are made, the mercury injection parameters are counted, the throat type is described and evaluated as large throat, medium throat, fine throat and micro throat, combined with the pore size determined in step (6), the micro pore throat combination characteristics of the reservoir in the study area are determined.

[0160] Generally speaking, the mercury injection curve deviating to the lower left is coarse skewness, the lower the displacement pressure, the better the physical property, the wider the platform on the mercury injection curve, the better the pore throat sorting. The mercury injection curve deviating to the upper right is fine skewness, the higher the displacement pressure, the worse the physical property, when the pore throat sorting is poor, the mercury injection curve is inclined without platform. According to the distribution characteristics of the mercury injection curve map drawn from the experimental data of mercury injection curve, the mercury injection curves of samples in the study area are divided into 4 types, as shown in the following figure Figure 15 a), and the corresponding mercury injection parameters are counted respectively. Type I capillary pressure curve is concave to the lower left and located at the bottom of the figure, slightly coarse skewness Figure 15 a), the displacement pressure is 0.19-0.57 MPa, the average value is 0.43 MPa, the median pressure is 2.13-3.61 MPa, the average value is 2.87 MPa, the average value of sorting coefficient is 0.34 Figure 15 ), the pore throat sorting is medium-poor. Type II curve is steep, with medium skewness. The capillary pressure curve in this type of rock sample is obviously steeper than type I Figure 15 a), indicating poor sorting, the average value of sorting coefficient is 0.41, the displacement pressure is 0.21-0.51 MPa, the average value is 0.3 MPa, the median pressure is 7.93-9.47 MPa, the average value is 8.44 MPa Figure 16), obviously higher than the I type curve. The capillary pressure curve of the III type rock sample is slightly flatter than that of the II type rock sample, and some curves are convex to the right and upper, closer to the top of the chart than the II type rock sample, with a fine skewness Figure 15 , with an average sorting coefficient of 0.14, better than the II type, a displacement pressure of 0.25-2.83 MPa, an average of 1.01 MPa, and a median pressure of 13.8-46.6 MPa, an average of 30.5 MPa Figure 16 . The capillary pressure curve of the IV type rock sample is closest to the top of the chart among the four types, so the skewness is the smallest, fine skewness, the sorting coefficient is small, between 0.006 and 0.21, with an average of 0.014 Figure 16 , with relatively good sorting.

[0161] In general, coarse skewness and well-sorted reservoirs have good permeability. In low-permeability reservoirs, especially in II, III and IV type mercury injection curves, poorly sorted reservoirs may have better permeability than well-sorted reservoirs. For example, the II type mercury injection curve has the worst sorting, but its permeability is significantly better than that of the III and IV type mercury injection curves, and even better than that of some samples of the I type mercury injection curve. This indicates that the coarser the skewness and the worse the sorting, the larger the pore throat contributes to the permeability value, so the seepage performance is better, while the rock sample with good sorting and fine pore throat has low permeability. The above shows that, in addition to the control of original sedimentation, the dissolution of later diagenesis leads to the formation of heterogeneous pores, which is also an important reason for the complexity of the pore structure of the reservoir in this area.

[0162] Based on the pore throat distribution frequency graph of all rock samples, this patent defines the pore throat larger than 1 μm as coarse throat, the pore throat of 0.25 μm-1 μm as medium throat, the pore throat of 0.025 μm-0.25 μm as fine throat, and the pore throat smaller than 0.025 μm as micro throat, and the average pore throat radius of the above four types of rock samples is as follows Figure 14 .b.

[0163] The pore throat distribution frequency graph of the I type rock sample (coarse-medium throat single peak type) is obviously single-peak, with a wide peak, and the peak value is distributed in 0.025 μm-4 μm Figure 15 .b). The pore throat distribution frequency graph of the II type rock sample (medium throat multi-peak type) is a relatively obvious multi-peak type, with a wide peak, and the peak value of the pore throat radius is distributed in 0.001 μm-4 μm, mostly in 0.025 μm-1 μm, and the peak value of the pore throat radius of individual rock samples is larger, distributed in 1 μm-4 μm, and the medium throat is developed in general Figure 15b) The pore throat distribution of the Class III rock sample (bimodal type of medium throat and fine throat) is also relatively complex, showing a clear bimodal type, and the peak of the pore throat radius distribution is generally located in the range of 0.004 μm to 0.63 μm (b), and medium and fine throats are generally developed. Figure 15 b), and the peak of the pore throat radius distribution is generally located in the range of 0.004 μm to 0.04 μm (b), and the peak is relatively narrow, and the peak is located in the range of 0.004 μm to 0.04 μm (b), and the peak is relatively narrow. Figure 17 b), and the peak of the pore throat radius distribution is generally located in the range of 0.004 μm to 0.04 μm (b), and the peak is relatively narrow, and the peak is located in the range of 0.004 μm to 0.04 μm (b), and the peak is relatively narrow.

[0164] Based on the above analysis of the pore and throat characteristics, from the type of reservoir space, the pore diameter in the study area is mainly medium and small (micro) pores, and locally develops large pores; from the throat radius reflected by the mercury injection curve of different types of reservoirs, the throat is mainly medium and fine throat; therefore, the pore throat combination of the target layer reservoir in the study area is mainly medium pore-medium throat type and medium-small pore-fine throat type, and the relative deviation is relatively small.

[0165] (8) Based on the research on the reservoir deposition and micro characteristics in the high-frequency sequence framework, combined with the logging, geophysical and straight well production parameters of the target layer reservoir, the sedimentary facies, lithology, reservoir physical property, pore structure, electrical property, seismic attribute, straight well production and other parameters are comprehensively considered to establish the integrated reservoir evaluation standard of geology-logging-seismic-production.

[0166] The high-yield well with a production of more than 10,000 cubic meters per day in the study area is mainly located in the heart beach development area of the sedimentary microfacies, and the lithology is mainly gravel-containing coarse sandstone and coarse sandstone, and the intergranular dissolution pore is generally developed, the reservoir physical property is good, the throat radius is mainly coarse medium throat, the natural gamma of the logging curve is less than 55, the acoustic time is more than 230, the density curve is generally less than 2.48, and the maximum valley amplitude attribute value is generally greater than 4500. The above reservoir is evaluated as a first-class reservoir. The evaluation parameters of the remaining types of reservoirs are shown in Table 2. Figure 18 .

[0167] (9) According to the physical property standard of the reservoir classification and evaluation, the porosity is mainly considered (such as the weight value is 0.3), but at the same time, the sedimentary microfacies, lithology, electrical property and geophysical attribute, actual production and other parameters are considered, and different weight values are given to classify and evaluate the reservoir, and the reservoir classification results are listed in the single well high-frequency sequence, sedimentary microfacies division and well-to-well sedimentary microfacies comparison, based on the constraint of the four-level and five-level high-frequency sequence framework, combined with the lateral distribution characteristics of the favorable sedimentary microfacies of the reservoir development, the lateral comparison and plane reservoir evaluation and distribution analysis of the classified reservoir are completed.

[0168] For existing completed wells in the study area, reservoirs were classified according to reservoir classification evaluation standards. Taking well A7 in the study area as an example, a total of 4 reservoir layers were interpreted, with a cumulative thickness of 11.3m. Among them, the H1-2 sublayer interpreted 2 reservoir layers with a total thickness of 7.8m, of which Class I reservoirs were 3.6m thick and Class II reservoirs were 3.2m thick. The reservoir classification evaluation results were placed in the single-well high-frequency sequence stratigraphy, sedimentary microfacies division, and well-to-well sedimentary microfacies comparison. The fourth and fifth-order high-frequency sequence stratigraphy were used as comparison markers for constraint. Combined with the lateral distribution characteristics of sedimentary microfacies favorable to reservoir development such as core bars and channel filling, a one-to-one comparison method was used to finally complete the reservoir evaluation comparison profile and gas-bearing reservoir plan evaluation map for the entire well. Figure 19 , Figure 18 The results showed that the Class I and II high-quality reservoirs were generally developed within the core-shoal sedimentary microfacies in the lower part of the fourth-order high-frequency sequence.

[0169] (10) Analyze the influence and control of high-frequency sequence and sedimentation on reservoir development, including the influence of reservoir properties, macroscopic distribution, rhythm and reservoir microstructure.

[0170] Detailed observations revealed that the distribution of different reservoir types is closely related to their location and sedimentary microfacies within high-frequency sequence stratigraphy, such as... Figure 19 , Figure 12 As shown, within the fourth and fifth high-frequency sequences, the sedimentary microfacies, from bottom to top, consist of a sedimentary sequence that gradually refines from channel mid-shoals, channel infill, and floodplain microfacies. Type I and II reservoirs with good physical properties are typically distributed in the lower part of the high-frequency sequence. Physical properties deteriorate upwards, leading to the development of Type III reservoirs. Therefore, within the target interval, multiple superimposed combinations of increasingly poor physical properties are formed.

[0171] The development of tight sandstone reservoirs is constrained by the sedimentary environment and sedimentary facies. This not only determines the macroscopic distribution of reservoir sand bodies, such as the strength of hydrodynamics, spatial distribution and scale, and rhythmicity, but also controls the microscopic characteristics of rocks, such as grain size, roundness, sorting, and interstitial materials. This influences the initial porosity of the reservoir and, to a certain extent, determines the final reservoir properties, pore structure, and seepage characteristics, resulting in significant variations in the reservoir performance of reservoirs in different facies zones.

[0172] During the He 1 depositional period, the uplift of the Yinshan Mountains in the northern part of the study area intensified, resulting in a more abundant supply of terrigenous clastic material, the development of surface alluvial streams and runoff, and enhanced hydrodynamic conditions. Due to the wide and unstable river channels, multiple shallow and fast-flowing braided rivers developed over a long period, repeatedly changing course and being abandoned. The superposition of multiple river channels formed a massive and continuous distribution of sand bodies with a large planar distribution. Figure 14b). In this shallow-water braided river sedimentary environment, the hydrodynamic conditions dominated by traction currents influence different microfacies sand bodies. The core bar sand bodies located in the channel core, under strong hydrodynamic conditions, exhibit large depositional thickness, coarse grain size, low mud content, high initial porosity, and good connectivity. During subsequent diagenetic alteration, a large amount of pore-throat space is preserved. The porosity and permeability distribution characteristics of different lithologies in the study area also show (see...). Figure 13 a) Reservoir properties are closely related to sedimentary microfacies. The braided mid-shoal contains gravelly coarse sandstone and coarse sandstone with an average porosity of 10.5% and a permeability of 0.84 mD. Furthermore, due to its susceptibility to dissolution and alteration during diagenesis, intergranular and intragranular dissolution pores are well-developed (see...). Figure 12 In this region, sandstone reservoirs with good physical properties are easily formed, typically classified as Class I or II. However, during the transition from the core of the central bar to the flanks, as the sandstone gradually approaches the braided channel or riverbank, the hydrodynamic conditions gradually weaken during the dry season, leading to channel-filling sedimentation. This results in the development of small-scale sandstone ridges and parallel bedding, with sand body thickness and grain size gradually decreasing, while the clay content increases, and the sand body physical properties gradually decline. The average porosity of the medium and fine sandstone deposited in the channel-filling sediments is 5.8%, and the permeability is 0.32 mD. The reservoirs have high contents of argillaceous rock fragments, mica, and other plastic particles and matrix. During diagenesis, they are more susceptible to the strong influence of clay and carbonate cement content, leading to poorer reservoir physical properties and the development of Class III reservoirs. Floodplain deposits are generally found in muddy sediments far from river channels. Occasionally, during flooding, overflows form thin floodplain sand bodies with small-scale wavy and climbing bedding. They exhibit low structural maturity, the highest mud content, and the worst physical properties. The average porosity of fine siltstone in floodplain floodplains is 3.2%, and the average permeability is 0.16 mD, primarily indicating a non-reservoir nature. Therefore, hydrodynamic conditions influence the structural and compositional maturity of sandstone, resulting in variations in final porosity.

[0173] The above analysis shows that the physical properties of sand bodies differ among different sedimentary microfacies zones. However, even within the same sedimentary microfacies zone, variations in hydrodynamic conditions lead to differences in sediment composition and consequently, physical properties. In the central and eastern part of the study area, the channel mid-bars of channels 3, 4, 5, and 6 exhibit stronger hydrodynamics, lower clay matrix content, well-developed inherited sand bodies, greater channel width and sand body thickness, coarser sandstone grains, and higher initial porosity and permeability. These primary pores provide channels and space for subsequent dissolution, resulting in the best final reservoir properties. Particularly at the confluence of channels 3 and 4 in the south, the braided channels are wide, and the mid-bars are large and densely developed, creating a favorable area for the development of Class I and Class II reservoirs. Figure 19 .b、 Figure 12 The western No. 1 and No. 2 channel mid-bar sand bodies, generally located in areas with weaker hydrodynamic conditions compared to the central and eastern regions, have smaller channel sizes and smaller sedimentary rock grain sizes, resulting in poorer reservoir properties. Figure 19 .b、 Figure 14 ).

[0174] The study area has multi-stage superimposed inherited development of braided river central bar, and the GR logging curves are mostly typical box-shaped, and the overall rhythm is not obvious, but when the central bar sand body is subdivided, it is found that it is composed of multiple upward-fining positive rhythm sand dam configuration units, and the reservoir properties form multiple superimposed combinations from good to poor, which is due to the fall-silt layer formed by the weakening of the water power of the braided river sand dam, and the underlying fine-grained sediment is not completely eroded by the new unit dam, resulting in obvious denting characteristics of the box-shaped central bar sand body on the logging.

[0175] The micro-pore structure of the reservoir rock affects the fluid storage and seepage capacity. From the mercury injection curve sample, the braided river central bar sandstone reservoir has a porosity of more than 9% (see Figure 15 .a), the maximum mercury injection saturation is more than 80%, the displacement pressure is mostly less than 0.5 MPa, and the average throat radius is mostly more than 0.3 μm (see Figure 16 、 Figure 16 ), indicating that the pore-throat structure is relatively good. Although the braided river central bar sandstone has a large sorting coefficient (relative to other microfacies sandstones) Figure 12 ), that is, the reservoir heterogeneity is enhanced, but due to the development of dissolution (see Figure 12 .a-c), the number of large throats also increases accordingly, so the reservoir seepage capacity is enhanced, the physical property is good, and the first and second class reservoirs are developed. Although the channel filling sandstone is relatively well sorted, the sediment is mostly medium sandstone, the sand body particle size is small, and small pores, fine throats are easily formed, mainly residual intergranular pores, intergranular dissolution pores and intergranular filling kaolinite micro-pores (see Figure 20 .d-e), the reservoir pore structure is poor, and the third class reservoir or non-reservoir is mostly developed.

[0176] The above technical solution is only one embodiment of the present application, and for those skilled in the art, on the basis of the application disclosed in the present application, various types of changes can be easily made without being limited to the selected marker layer, minimum valley amplitude attribute, conventional mercury injection method and the like in the above-mentioned specific embodiments, therefore, the above-mentioned selection is a preferred method suitable for the present region, and does not have a limiting meaning.

[0177] Example Four

[0178] The embodiment of the present application provides a control analysis device for braided river sedimentary reservoir development. As shown in Figure 21 , the device comprises:

[0179] The comprehensive response mode determination module 401 is configured to utilize mutual calibration of cores, logging and seismic data, establish a comprehensive response mode of marker bed interface, calculate three porosities and PE index, combine logging interface and seismic interface, and establish a comprehensive response mode of rock facies, logging facies and seismic facies.

[0180] The high-frequency sequence and small layer division and comparison module 402 is configured to complete comparison of different order marker beds based on the comprehensive response mode of marker bed interface, establish a high-frequency sequence framework, and complete small layer division and comparison.

[0181] Specifically, the comprehensive response mode of marker bed interface, logging interface and seismic interface is utilized to carry out comparison of marker bed interfaces of different orders, and further, the core high-frequency program interface calibration is utilized to calculate three porosities and PE curves, high-frequency sequence division and comparison are carried out, and small layer division and comparison are carried out according to actual production.

[0182] The sedimentary microfacies profile and plane distribution depiction module 403 is configured to complete well-to-well sedimentary microfacies comparison under the constraint of the high-frequency sequence framework based on the comprehensive response mode of rock facies, logging facies and seismic facies, utilize along-layer seismic slicing technology to extract seismic facies attributes of the target layer, and determine sedimentary microfacies profile and plane distribution through well-to-seismic combination.

[0183] The reservoir microfeature analysis module 404 is configured to describe reservoir lithology, physical property, reservoir space type and pore structure, analyze reservoir microfeatures, and analyze average throat distribution of different types of reservoir samples, in particular, pore structure and pore throat combination features.

[0184] The reservoir evaluation module 405 is configured to comprehensively analyze reservoir sedimentation and reservoir microfeatures, combine logging, seismic and well production conditions, establish a geological-logging-seismic-production multi-parameter integrated reservoir evaluation standard, give different weights to evaluation parameters, complete comprehensive reservoir evaluation profile comparison and plane comprehensive evaluation of gas-bearing reservoirs.

[0185] Specifically, weights are given to reservoir evaluation parameters, and based on the high-frequency sequence framework and sedimentary microfacies distribution analysis, well-to-well comprehensive reservoir evaluation comparison and plane comprehensive evaluation of gas-bearing reservoirs are completed.

[0186] The reservoir development control analysis module 406 is configured to complete control analysis of sequence sedimentation on reservoir development.

[0187] Specifically, the comprehensive response mode determination module 401 is further configured to:

[0188] determine a curve combination type feature of a reservoir section, utilize lithology to calibrate, and find a lithology sensitive curve; the sensitive curve further includes a photoelectric absorption cross-section index (PE) curve.

[0189] The lithology sensitivity curve and the calculated three porosities are used to identify the marker layer, and the marker layer is divided into different levels according to the core-logging identification degree of the marker layer;

[0190] The marker layer is calibrated on the seismic profile through the seismic synthetic record, and a comprehensive response mode of the lithology interface-calculated three porosities and PE index combined with the logging interface-seismic interface is established.

[0191] Specifically, the high-frequency sequence and small layer division and comparison module 402 is further used to:

[0192] Under the constraint of the seismic marker layer, a marker layer correlation framework is established, the core is calibrated on the logging curve, and the high-frequency sequence interface is identified and divided;

[0193] Under the constraint of the marker layer correlation framework, the small layer division and correlation are completed according to the actual situation of the field development;

[0194] Specifically, the sedimentary microfacies distribution depiction module 403 is further used to:

[0195] Based on the small layer division and correlation results, the seismic sensitive amplitude attribute reflecting the sedimentary microfacies of the small layer is extracted according to the seismic time window corresponding to the target small layer, and the distribution characteristics of the planar sedimentary microfacies are depicted through well-seismic combination.

[0196] Specifically, the reservoir microfeature analysis module 404 is further used to:

[0197] The reservoir lithology, reservoir space type, physical property and pore structure are described.

[0198] Specifically, the reservoir evaluation module 405 is further used to:

[0199] The geological-logging-seismic-production multi-parameter integrated reservoir evaluation standard is established, different weights are given to the reservoir evaluation parameters, and the comprehensive evaluation of the target layer reservoir is carried out.

[0200] The control analysis device for the braided river sedimentary reservoir development disclosed in the embodiment of the application is based on core experiment analysis, uses core experiment data calibration, calculates three porosities, and combines the geophysical slicing technology to establish the high-frequency sequence framework and realize the sedimentary microfacies boundary depiction, further carry out the reservoir microfeature (especially the pore structure and pore throat combination) and the reservoir comprehensive evaluation research, and finally clarify the control action of the sequence deposition on the development of the reservoir macro-micro features.

[0201] Embodiment five

[0202] Figure 21 is a functional block diagram of an electronic device according to an embodiment of the application. The embodiment of the application also provides an electronic device, which will be described below with reference to Figure 21At the hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The memory can include a memory such as a random-access memory (RAM), and can further include a non-volatile memory such as at least one disk memory. Of course, the electronic device can further include other hardware required by a business.

[0203] The processor, the network interface, and the memory can be connected to each other through the internal bus, which can be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus, or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figures 1 to 19 Only one bidirectional arrow is used to represent the bus in the figure, but it does not mean that there is only one bus or only one type of bus.

[0204] The memory is used to store a program. Specifically, the program can include program code including computer operation instructions. The memory can include a memory and a non-volatile memory, and provide instructions and data to the processor. The processor executes the program stored in the memory, and is specifically used to execute ​ The method for analyzing the control of the development of the braided river deposition reservoir is disclosed in the embodiment.

[0205] It should be noted that, in this document, the terms such as first and second are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the statement "including a" does not exclude the presence of another identical element in the process, method, article or device including the element.

[0206] Each embodiment in the specification is described in a related manner, and the same or similar parts between each embodiment can be referred to each other. Each embodiment focuses on the difference from other embodiments. Especially, for the device, electronic device and readable storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the related parts can be referred to the part of the method embodiment.

[0207] The above merely provides the preferred embodiments of the application, and not intended to limit the protection scope of the application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the application shall fall within the protection scope of the application.

Claims

1. A method of analyzing the control of development of a braided river depositional reservoir, characterized by, The method comprises: The method comprises: Based on the marker bed interface comprehensive response mode, different level marker bed correlation is completed, high frequency sequence framework is established, and small layer division and correlation are completed. Under the constraint of the high frequency sequence framework, based on the rock facies-logging facies-seismic facies comprehensive response mode, the sedimentary microfacies correlation of each small layer is completed, the seismic facies attribute of the target layer is extracted by using the along-layer seismic slicing technology, and the sedimentary microfacies profile and planar distribution are determined by well-seismic combination. The reservoir lithology, physical property, reservoir space type and pore structure and their combination characteristics are described, the average throat distribution of different types of reservoir samples is analyzed, the reservoir microfeature is analyzed, the well logging, seismic and well production conditions are combined, the geological-logging-seismic-production multi-parameter integrated reservoir evaluation standard is established, different weights are given to the evaluation parameters, the reservoir comprehensive evaluation profile correlation and the planar comprehensive evaluation of the gas-bearing reservoir are completed. The control analysis of high frequency sequence sedimentation on reservoir development is completed. The method comprises:

2. The method of claim 1, wherein, The curve combination type characteristics of the reservoir section are determined, the lithology is calibrated, and the lithology sensitive curve is searched; The marker bed is identified by using the lithology sensitive curve, PE and calculated three porosity, and the marker bed is divided into different levels according to the core-logging identification degree of the marker bed; The marker bed is calibrated on the seismic profile by using the seismic synthetic record, and the lithology interface-calculated three porosity and PE index combined with the logging interface-seismic interface comprehensive response mode of the marker bed is established. The method comprises:

3. The method of claim 1, wherein, Under the constraint of the seismic marker bed, the marker bed correlation framework is established, the three porosity logging curve is calculated by core calibration, the high frequency sequence interface is identified and divided by using the dense sandstone section coincidence method combined with the PE curve; Under the constraint of the marker bed correlation framework, based on the high frequency sequence interface division result, the small layer division and correlation are completed according to the actual development situation. The method comprises:

4. The method of claim 1, wherein, Based on the small layer division and correlation result, the rock facies-logging facies-seismic facies comprehensive response mode is combined to complete the sedimentary facies correlation of each small layer; According to the seismic time window corresponding to the target small layer, the seismic sensitive amplitude attribute reflecting the sedimentary microfacies of the small layer is extracted, and the distribution characteristics of the planar sedimentary microfacies are described by well-seismic combination. The method comprises:

5. The method of claim 1, wherein, The lithology classification triangle is made by using the thin section identified grain components quartz, feldspar and debris data, and the reservoir rock type is determined; The reservoir space type is analyzed, and the types of pores, large pores, medium pores, small pores and micro pores are determined; The physical property analysis result is used to analyze the physical property of different lithology reservoirs and the overall physical property characteristics of the reservoirs, and the reservoir type is determined; ​ The mercury injection curve experiment data are used to make the mercury injection curve graph and throat distribution graph, and the throat radius parameters of different types of reservoirs are averaged to make the throat distribution graph, so as to count the throat distribution characteristics of different types of reservoirs; The throat type is described and evaluated to be a large throat, a medium throat, a fine throat or a micro throat through the throat distribution characteristics and the mercury injection parameter statistics of the reservoir; According to the combination of the pore and throat sizes of the sample, a pore-throat combination distribution histogram is made to clearly show the micro pore-throat combination characteristics of the reservoir.

6. The method of claim 1, wherein, The establishment of the geological-logging-seismic-production multi-parameter integrated reservoir evaluation standard comprises: The high-frequency sequence small layer division result based on well-seismic combination, the calculation of three porosities coincidence method and the PE index comprehensive method, the sedimentary microfacies distribution characteristics and the reservoir microfeature analysis based on the rock facies-logging facies-seismic facies are utilized, and the evaluation parameters are comprehensively considered to establish the geological-logging-seismic-production integrated reservoir evaluation standard; wherein the evaluation parameters comprise at least one of the following parameters: sedimentary facies belt, lithology, reservoir property, pore structure, electrical property, seismic attribute and straight well production yield; According to the physical property standard of the reservoir classification evaluation, the porosity parameter is mainly considered, and the sedimentary microfacies, lithology, logging electrical property, geophysical attribute and actual yield parameter are considered at the same time, different weights are given, and the reservoir is comprehensively classified and evaluated; The reservoir comprehensive classification and evaluation result is listed in the single well high-frequency sequence, the sedimentary microfacies division and the well-to-well sedimentary microfacies correlation. Based on the constraint of the four-level and five-level high-frequency sequence framework, the lateral correlation and plane reservoir evaluation and distribution analysis of the classified reservoir are completed in combination with the lateral distribution characteristics of the favorable sedimentary microfacies of the reservoir development.

7. The method of claim 1, wherein, The completion of the control analysis of the high-frequency sequence sedimentation on the reservoir development comprises: The influence and control of the high-frequency sequence and the sedimentation on the reservoir development are analyzed, including the influence on the reservoir property, the macro distribution, the rhythm and the reservoir microfeature.

8. An apparatus for analyzing control of development of a braided river depositional reservoir, characterized by, The device comprises: The comprehensive response mode determination module is used to utilize the mutual calibration of the core, logging and seismic data to establish the comprehensive response mode of the marker bed interface, the calculation of three porosities and the PE index in combination with the logging interface and the seismic interface, and establish the comprehensive response mode of the rock facies, logging facies and seismic facies; The high-frequency sequence and small layer division correlation module is used to complete the correlation of different levels of marker beds based on the marker bed interface comprehensive response mode, establish the high-frequency sequence framework, and complete the small layer division correlation; The sedimentary microfacies distribution depiction module is used to complete the well-to-well profile correlation of the sedimentary microfacies in each small layer under the constraint of the high-frequency sequence framework based on the rock facies-logging facies-seismic facies comprehensive response mode, extract the seismic facies attribute of the target layer by using the along-layer seismic slicing technology, and determine the sedimentary microfacies profile and plane distribution through well-seismic combination; The reservoir microfeature analysis module is used to describe the reservoir lithology, property, reservoir space type and pore structure and their combination characteristics, analyze the reservoir microfeature, and analyze the average throat distribution of different types of reservoir samples. The reservoir evaluation module is used for establishing a geological-logging-seismic-production multi-parameter integrated reservoir evaluation standard by comprehensively analyzing reservoir deposition and reservoir microanalysis in combination with logging, seismic and well production, and assigning different weights to reservoir evaluation parameters to carry out single-well purpose layer reservoir comprehensive evaluation. The reservoir development control analysis module is used for completing control analysis of high-frequency sequence deposition on reservoir development.

9. The apparatus of claim 8, wherein, The comprehensive response mode determination module is further used for: determining reservoir section curve combination type features, calibrating using lithology, and finding lithology sensitive curves; using the lithology sensitive curves and calculating three porosity dense sandstone section coincidence method to identify marker beds, and dividing the marker beds into different orders according to core-logging difficult-to-identify degrees of the marker beds; calibrating the marker beds to seismic profiles through seismic synthetic records, and establishing a comprehensive response mode of lithology interface-calculating three porosities and PE index combined with logging interface-seismic interface.

10. The apparatus of claim 8, wherein, The high-frequency sequence and small layer division comparison module is further used for: under the constraint of seismic marker beds, establishing a marker bed correlation framework, calculating three porosities and logging curves through core calibration, and using dense sandstone section coincidence method in combination with PE curves to identify and divide high-frequency sequence interfaces; under the constraint of the marker bed correlation framework, based on the high-frequency sequence interface division results, completing small layer division and correlation according to actual field development.

11. The apparatus of claim 8, wherein, The sedimentary microfacies distribution depiction module is further used for: based on small layer division and correlation results, in combination with rock facies-logging facies-seismic facies comprehensive response mode, completing sedimentary facies inter-well profile correlation in each small layer; according to a seismic time window corresponding to a purpose small layer, extracting seismic sensitive amplitude attributes capable of reflecting small layer sedimentary microfacies, and depicting distribution characteristics of planar sedimentary microfacies through well-seismic combination.

12. An electronic device, comprising: It comprises: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method for controlling analysis of braided river deposition reservoir development according to any one of claims 1-7.

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