Reservoir Identification Methods and Systems in Tectonic Inversion Zones During Diagenesis

Abstract

This invention provides a method and system for reservoir identification in tight sandstone during diagenesis in tectonic inversion zones, belonging to the field of geological exploration. It includes: determining the favorable diagenetic facies and their development locations in the cored well sections based on regional geological background data of the tight sandstone and static data from the cored well sections; determining the development interval and location of the first target reservoir based on the favorable diagenetic facies and their development locations in the cored well sections based on dynamic data from the characteristic wells; determining the distribution range of the second target reservoir within the present tectonic region based on the electrical properties of the first target reservoir and the electrical characteristics of the characteristic wells; and determining the distribution range of the third target reservoir in the diagenetic period of the tight sandstone in the tectonic inversion zone based on the distribution range of the second target reservoir and static data. This invention can effectively solve the problem of mismatch between the present tectonic structure and the dominant facies zones formed during diagenetic evolution in tectonic inversion areas, accurately identifying high-quality reservoirs.

Description

Technical Field

[0001] This invention relates to the field of geological exploration technology, specifically to a method and system for reservoir identification in tight sandstone during diagenesis in tectonic inversion zones. Background Technology

[0002] The development of tight sandstone, especially deep tight sandstone reservoirs, is progressing rapidly and plays a vital role in global oil and gas exploration. Tight sandstone reservoirs often exhibit geological characteristics such as low to ultra-low porosity, low to ultra-low permeability, extreme heterogeneity, unclear planar distribution of sand bodies, and complex diagenetic processes, which severely impact development effectiveness. Therefore, to achieve efficient development of tight sandstone oil and gas reservoirs, it is necessary to accurately identify and predict high-quality reservoirs.

[0003] Existing technologies, such as diagenetic evolution analysis, delineate favorable diagenetic facies zones in reservoirs. While this can achieve the goal of predicting high-quality reservoirs to some extent, its application is limited. That is, current diagenetic facies studies are typically based only on current burial depth and structural distribution characteristics. However, for areas that have experienced strong tectonic inversions, the current stratigraphic structure often differs significantly from that of the diagenetic period, leading to a mismatch between the current structure and the dominant facies zones formed during diagenetic evolution.

[0004] For tectonic inversion sites where the reservoir matching is misaligned between the current tectonic structure and the diagenetic evolution process, existing technologies do not have a specific method to reconstruct the dominant diagenetic facies zones from the diagenetic period. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides a method and system for identifying reservoirs in tight sandstone during the diagenetic period of tectonic inversion zones, so as to accurately identify relatively high-quality reservoirs in tectonic inversion zones during the diagenetic period.

[0006] The purpose of this invention is to provide a method for identifying reservoirs in tight sandstone during diagenesis in a tectonic inversion zone. The method includes: determining the favorable diagenetic facies and their development locations in the cored well section of the tight sandstone based on regional geological background data and static data from characteristic wells in the cored well section; determining the development interval and location of a relatively high-quality first target reservoir in the cored well section based on dynamic data from the characteristic wells in the cored well section, considering the favorable diagenetic facies and their development locations; determining the distribution range of a second target reservoir within the current tectonic region based on the electrical properties of the first target reservoir and the electrical characteristics of the characteristic wells; and determining the distribution range of a third target reservoir in the diagenetic zone of the tight sandstone during the tectonic inversion zone based on the distribution range of the second target reservoir and the static data of the tight sandstone.

[0007] Optionally, the static data includes core data, drilling oil and gas display data, and single-well logging curve data. The step of determining the favorable diagenetic facies and their development locations in the cored section of the characteristic well, based on the regional geological background data of the tight sandstone and the static data of the characteristic well in the cored section, includes: identifying unstable mineral dissolution facies under the action of acidic fluids as favorable diagenetic facies in the cored section based on the regional geological background data; classifying the characteristic well into diagenetic facies based on the core data; and determining the location of the unstable mineral dissolution facies in the characteristic well as the development location of favorable diagenetic facies in the cored section.

[0008] Optionally, the regional geological background data includes: regional geology, regional burial history data, and regional paleotectonic maps; the core data includes: core observation and description records, core physical property data, thin section identification data, cathodoluminescence data, scanning electron microscopy data, lithological analysis data, X-ray diffraction analysis data, fluid inclusion analysis data, and mercury intrusion porosimetry parameter data.

[0009] Optionally, the dynamic data includes: single-well oil testing data, single-well oil production data, and single-well cumulative oil production data.

[0010] Optionally, the electrical criterion of the first target reservoir is determined by: determining a target logging curve from among the multiple characteristic logging curves of the cored well section based on their sensitivity to the favorable diagenetic facies; obtaining the response characteristics of the target logging curve on the first target reservoir; and determining the electrical criterion of each target logging curve in an inductive manner based on the data distribution of the response characteristics of the characteristic logging curves.

[0011] Optionally, multiple characteristic logging curves of the cored well section are determined using data calibration logging, and the target logging curves include: sonic transit time, resistivity, natural gamma, density, and neutron logging.

[0012] Optionally, the regional geological background data includes a regional burial history map and a paleotectonic map of the tight sandstone in the tectonic inversion zone during its diagenetic period. The step of determining the distribution range of the third target reservoir in the tectonic inversion zone during its diagenetic period based on the distribution range of the second target reservoir and the static data of the tight sandstone includes: determining the siliceous cement inclusion temperature data of the second target reservoir based on the distribution range of the second target reservoir and core data from the static data; determining the paleotemperature of the second target reservoir during its diagenetic period based on the siliceous cement inclusion temperature data; determining the paleoburial depth of the second target reservoir during its diagenetic period based on the paleotemperature of the second target reservoir during its diagenetic period and the regional burial history map; and determining the spatial distribution map of the tight sandstone in the tectonic inversion zone during its diagenetic period based on the paleotectonic map of the tectonic inversion zone and the paleoburial depth, as the distribution range of the third target reservoir.

[0013] On the other hand, the present invention also provides a reservoir identification system for tight sandstone in a tectonic inversion zone during its diagenetic period. The identification system includes: a first determining device for determining the favorable diagenetic facies and development location of the characteristic well in the cored section based on regional geological background data of the tight sandstone and static data of the characteristic well in the cored section; a second determining device for determining the development section and location of a relatively high-quality first target reservoir in the cored section based on dynamic data of the characteristic well in the cored section; a third determining device for determining the distribution range of a second target reservoir within the current tectonic region based on the electrical characteristics of the first target reservoir and the electrical properties of the characteristic well; and a fourth determining device for determining the distribution range of a third target reservoir in the tectonic inversion zone during its diagenetic period based on the distribution range of the second target reservoir and the static data of the tight sandstone.

[0014] In another aspect, this application provides a machine-readable storage medium storing instructions for causing a machine to execute: a reservoir identification method for tight sandstone in a tectonic inversion zone during diagenesis, as described above.

[0015] In another aspect, this application provides a processor for running a program, wherein the program executes, during runtime, a reservoir identification method for tight sandstone in tectonic inversion zones during diagenesis as described above.

[0016] Through the above technical solution, this invention provides a method for identifying relatively high-quality reservoirs in deep tight sandstone formation during diagenesis in tectonic inversion zones. This method effectively and quickly solves the problem of inaccurate identification of relatively high-quality reservoirs in tectonic inversion areas where the current stratigraphic structure differs significantly from that of the diagenetic period, leading to a mismatch between the current structure and the dominant facies zones formed during diagenetic evolution. Specifically, this invention improves the accuracy of high-quality reservoir identification by restoring the distribution of dominant diagenetic facies during the diagenetic period, thus meeting the current goal of refined reservoir research and evaluation in tight oil and gas exploration and development. This invention strongly promotes tight oil and gas exploration and development in tectonic inversion zones and also provides technical means and ideas for the identification and research of similar reservoirs, therefore it has significant practical implications.

[0017] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0018] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a structural location map of a certain region shown according to an embodiment of this application; Figure 2 This is a flowchart illustrating a method for reservoir identification during diagenesis in tight sandstone in a tectonic inversion zone, according to an embodiment of this application. Figure 3 This is a schematic diagram of the diagenetic facies of a characteristic well in a certain region, as shown in an embodiment of this application. Figure 4 This is a schematic diagram illustrating the electrical characteristics of a reservoir in a certain region according to an embodiment of this application; Figure 5 This is a burial history map of a certain region shown according to an embodiment of this application; Figure 6 This is a spatial distribution map of reservoirs in a certain region during the diagenetic period, as shown in the embodiments of this application. Figure 7 This is a schematic diagram of a reservoir identification system for tight sandstone in a tectonic inversion zone during its diagenetic period, according to an embodiment of this application. Detailed Implementation

[0019] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.

[0020] First, this invention provides a method 100 for identifying reservoirs in tight sandstone during diagenesis in tectonic inversion zones, with the aim of identifying high-quality reservoirs in tight sandstone during diagenesis in tectonic inversion zones. The method will be illustrated below using the Yuquan area of ​​the central anticline belt in the Xihu Depression, a typical tectonic inversion zone, as an example.

[0021] See Figure 1 The Xihu Depression is located in the northeastern part of the East China Sea Shelf Basin, extending in a north-south direction (NNE). It is approximately 400 km long from north to south and 100 km wide from east to west, with an area of ​​approximately 5.18 × 10⁴ km². 2 The depression can be divided into the western slope zone, the western sub-depression zone, the central inversion tectonic zone, the eastern sub-depression zone, and the eastern marginal fault zone from west to east. Among these, the central inversion tectonic zone contains a series of inversion anticlines. The Yuquan structure, located in the central part of the central inversion tectonic zone of the Xihu Depression, is the largest anticline structure discovered in the Donghai Basin, covering an area of ​​over 500 km². 2 It is one of the most favorable areas for finding large and medium-sized oil and gas fields in the Xihu Depression.

[0022] Specifically, such as Figure 2 As shown, the identification method 100 may include steps S110-S140.

[0023] Step S110: Based on the regional geological background data of tight sandstone and the static data of characteristic wells in the core sampling section of tight sandstone, determine the favorable diagenetic facies and development location of the characteristic wells in the core sampling section.

[0024] Regional geological background data can include: regional geology (e.g., previous summaries of regional geological understanding), regional burial history data, and regional paleotectonic maps. Static data can include core data, drilling oil and gas show data, and single-well logging curve data. The inventors have discovered that diagenetic facies are products of sediments in a specific diagenetic environment, undergoing diagenetic processes and evolutionary stages, and are one of the core factors determining reservoir properties. Furthermore, diagenetic facies highly summarizes the diagenetic processes from sediment formation until metamorphism, and comprehensively considers the influence of diagenetic minerals, diagenetic stages, diagenetic environments, and diagenetic evolution sequences on reservoir pore structure and reservoir properties. Research on diagenetic facies helps in regional reservoir evaluation and prediction, identifying high-quality reservoirs and the distribution of favorable oil and gas-bearing areas, and more effectively guiding oil and gas exploration and development.

[0025] Specifically, core data can include: core observation and description records, core physical property data, thin section identification data, cathodoluminescence data, scanning electron microscopy data, lithological analysis data, X-ray diffraction analysis data, fluid inclusion analysis data, and mercury injection parameter data. For example, for the Huagang Formation in the Yuquan area of ​​the central anticline belt of the Xihu Depression, it is necessary to collect its regional geological background data, and collect data such as drilling oil and gas shows, single-well oil testing data, core data, logging data, and single-well production data from typical cored wells (characteristic wells). Among them, the core data shows that the reservoir in the Yuquan area has a high degree of compaction and strong reservoir heterogeneity. The overall porosity of the Huagang Formation reservoir is relatively low, with an average porosity of 11.37%, mainly medium and low porosity. The permeability is mainly concentrated at 0.1×10⁻⁶. -3 ~100×10 -3 μm 2 The average penetration rate is 2.83 × 10⁻⁶. -3 μm 2 According to existing standards, such as the classification standards in the "Offshore Oil and Gas Reserves Calculation Standard", the Huagang Formation reservoir in the Yuquan area belongs to a typical ultra-low porosity-tight sandstone reservoir.

[0026] Then, based on the obtained regional geological background data of the tight sandstone and the static data of the characteristic wells in the core sampling interval, the favorable diagenetic facies and development location of the characteristic wells in the core sampling interval can be determined. Specifically, step S110 may include steps S111-S113: Step S111: Based on regional geological background data, the unstable mineral dissolution facies under the action of acidic fluids are identified as favorable diagenetic facies for the core section.

[0027] Specifically, based on regional geological background data, the applicant found that since dissolution and alteration are the most critical factors for the development of high-quality reservoirs in deep formations, unstable mineral dissolution phases under the action of acidic fluids can be regarded as favorable diagenetic phases for the development of cored well sections.

[0028] Step S112: Based on the core data, the characteristic wells are classified into diagenetic facies.

[0029] Then, based on the core data and the aforementioned definition of favorable diagenetic facies, the diagenetic facies of the obtained core samples from individual wells can be studied and classified. In other words, by classifying the different diagenetic facies in characteristic wells, various types of diagenetic facies can be obtained.

[0030] Step S113: The location of the unstable mineral dissolution phase in the characteristic well is determined as the favorable diagenetic facies development location in the core section.

[0031] In this step, the corresponding unstable mineral dissolution facies can first be identified in various types of diagenetic facies as preliminary screening results for favorable diagenetic facies. Then, the development location of favorable diagenetic facies can be further confirmed using the aforementioned parameters from the core data. Specifically, this can include: based on the location of unstable mineral dissolution facies in characteristic wells, combining lithological analysis data, X-ray diffraction data, cathodoluminescence data, physical property data, scanning electron microscopy data, thin section identification data, fluid inclusion analysis data, and mercury injection data from cored sections, to determine the favorable diagenetic facies and development location of the deep tight sandstone reservoirs in the current tectonic inversion zone.

[0032] For example, based on the established identification of unstable mineral dissolution facies under the influence of acidic fluids as favorable diagenetic facies for the cored well section, the diagenetic facies of the cored well can first be determined by analyzing core data from the typical cored well NB27-1-3d, combining thin section observations with lithological analysis data, X-ray diffraction data, cathodoluminescence data, and scanning electron microscopy data. (See also...) Figure 3 It is evident that the H3-H4 section of the Huagang Formation exhibits strongly compacted, unstable mineral dissolution facies, while the H4-H5 section develops calcareous cemented facies. Subsequently, based on the preliminarily identified diagenetic facies location, a comprehensive analysis can be conducted using core physical property data (porosity, permeability), X-ray diffraction data, lithological analysis data, fluorescence thin section photographs, microscopic porosimetry images, and mercury porosimetry images, in conjunction with the diagenetic facies. This further clarifies that the favorable diagenetic facies is the unstable mineral dissolution diagenetic facies, primarily developed in the H3-H4 section of the cored well.

[0033] Step S120: Based on the dynamic data of the characteristic well in the core section, determine the development section and location of the relatively high-quality first target reservoir in the favorable diagenetic facies and development location of the core section.

[0034] The dynamic data can include: single-well oil testing data, single-well oil production data, and single-well cumulative oil production data. In step S120, based on the favorable diagenetic facies and development location of the deep tight sandstone reservoir in the structural inversion zone determined in step S110, and combined with dynamic data, such as single-well oil testing data, single-well oil production data, and single-well cumulative oil production data of the cored wells, the well interval and location of the first target reservoir in the deep tight sandstone reservoir in the structural inversion zone can be further determined. For example, based on the favorable diagenetic facies and development location of the deep tight sandstone reservoir in the structural inversion zone already determined above, based on the typical cored wells having drilling oil and gas shows, specific oil testing data (greater than the set oil testing data threshold), and production data (greater than the set production data threshold), it can be concluded that the relatively high-quality reservoir (i.e., the first target reservoir) in this area is developed in a coarse-grained facies, main channel sand body well interval.

[0035] Step S130: Determine the distribution range of the second target reservoir within the current structural region based on the electrical characteristics of the first target reservoir and the electrical characteristics of the characteristic wells.

[0036] In this step, electrical standards for relatively high-quality first-target reservoirs in the current structural inversion zone can be established based on multiple logging curves of well sections where relatively high-quality first-target reservoirs have developed. For example, one or more electrical parameters can be identified based on the logging curves of well sections where relatively high-quality first-target reservoirs have developed in the structural inversion zone, and the interval in which the electrical parameters fall concentrated can be used as the electrical standard for relatively high-quality first-target reservoirs in the structural inversion zone.

[0037] Specifically, the electrical criterion of the first target reservoir in step S130 can be determined in the following way: Step S131: Based on the sensitivity of multiple characteristic logging curves of the cored well section to favorable diagenetic facies, determine the target logging curve among the multiple characteristic logging curves.

[0038] Among these methods, multiple characteristic logging curves for the cored well section can be determined using data calibration logging methods. For example, actual core samples and thin section data from characteristic wells in the study area can be used to determine multiple characteristic logging curves for the cored well section using core and thin section data calibration logging methods.

[0039] Then, based on the sensitivity of the characteristic logging curves to favorable diagenetic facies, the characteristic logging curves with a sensitivity greater than a set threshold can be selected as target logging curves. For example, by calculating the sensitivity of each logging curve to favorable diagenetic facies, five logging curves with high sensitivity to diagenetic facies—acoustic transit time (AC), resistivity (Rt), natural gamma ray (GR), density (DEN), and neutron logging (CNL)—can be selected as target logging curves.

[0040] Step S132: Obtain the response characteristics of the target logging curve on the first target reservoir.

[0041] First, the response characteristics of the target logging curve on the first target reservoir can be obtained, and then different diagenetic facies standard identification modes can be established based on the characteristic combinations of these response characteristics.

[0042] Step S133: Based on the data distribution of the response characteristics of the characteristic logging curves, determine the electrical standard of each target logging curve in an inductive manner.

[0043] Given that the target logging curves include sonic transit time, resistivity, natural gamma, density, and neutron logging, the distribution range of values ​​for each diagenetic facies logging curve segment can be statistically analyzed, and then a range can be summarized as the electrical standard for the first target reservoir. Specifically, for the Huagang Formation in the Yuquan area of ​​the Xihu Depression inversion structural belt, analysis of the logging curves from typical cored wells reveals that it exhibits similar logging curve response characteristics to relatively high-quality reservoirs. The obtained electrical standards are summarized as follows: Figure 4 As shown. For the strongly compacted, unstable dissolution phase, the electrical properties of the relatively superior first target reservoir can be selected as follows: acoustic transit time of 180-215 μS / ft; resistivity of less than 20 Ω / m; natural gamma of 55-75 API; and density of 2.5-2.6 g / cm³. 3 The electrical standard for neutron logging is 10-13%.

[0044] Then, based on the electrical characteristics of the first target reservoir and the electrical characteristics of the characteristic wells drilled in the region, the distribution range of high-quality second target reservoirs in the current structural region can be further determined. Specifically, step S130 may also include: Step S134: Based on the established electrical properties standards for the relatively high-quality first target reservoir, conduct well logging interpretation of the drilled wells in the area, and statistically analyze the distribution range of high-quality second target reservoirs within the current structural area. For example, based on the established electrical properties standards for the relatively high-quality first target reservoir, identify and interpret all wells in the area well by well, and statistically analyze the distribution segments and depths of reservoirs that meet the electrical properties standards in each core well, which are then used as second target reservoirs, thereby obtaining the distribution range of relatively high-quality second target reservoirs within the current structural area.

[0045] Step S140: Based on the distribution range of the second target reservoir and the static data of the tight sandstone, determine the distribution range of the third target reservoir in the diagenetic period of the tight sandstone in the tectonic inversion zone.

[0046] In this step, based on the distribution range of high-quality secondary target reservoirs within the current tectonic region, combined with regional geological background data and core data from static data, the distribution range of high-quality deep tight sandstone reservoirs in the tectonic inversion zone during their diagenetic period can be determined. The regional geological background data may include regional burial history maps and paleotectonic maps of the tight sandstone in the tectonic inversion zone during their diagenetic period.

[0047] Specifically, step S140 may include: Step S141: Based on the distribution range of the second target reservoir and combined with the core data in the static data, determine the temperature measurement data of the siliceous cement inclusions in the second target reservoir.

[0048] Step S142: Determine the paleotemperature of the second target reservoir during its diagenetic period based on the temperature measurement data of the siliceous cement inclusions.

[0049] Step S143: Determine the paleoburial depth of the second target reservoir during its diagenetic period based on the paleotemperature of the second target reservoir during its diagenetic period and the regional burial history map.

[0050] Step S144: Based on the paleotectonic map and paleoburial depth of the tectonic inversion zone during the diagenetic period, determine the spatial distribution map of the tight sandstone in the tectonic inversion zone during the diagenetic period, so as to serve as the distribution range of the third target reservoir.

[0051] In other words, firstly, based on the determined distribution range of the high-quality second target reservoir, and combined with core analysis data from the core samples, the thermography data of the siliceous cement inclusions in the current second target reservoir can be obtained. Then, based on the thermography data of the siliceous cement inclusions, the paleotemperature data of the second target reservoir during its diagenetic period can be obtained. Next, based on the determined paleotemperature data of the diagenetic period, and combined with the regional burial history map of the tight sandstone study area, the paleoburial depth of the second target reservoir during its diagenetic period can be determined. Finally, based on the determined paleoburial depth of the second target reservoir during its diagenetic period, and combined with the paleotectonic map of the tectonic inversion zone during its diagenetic period, a spatial distribution map of the deep tight sandstone in the tectonic inversion zone during its diagenetic period can be drawn, serving as the distribution range of the high-quality third target reservoir during its diagenetic period.

[0052] For example, within the distribution range of relatively high-quality second target reservoirs in the existing structural area of ​​the Yuquan region, the homogenization temperature of siliceous cement inclusions at the top and bottom boundaries of the high-quality reservoir distribution segments in each well can be statistically analyzed to obtain siliceous cement inclusion temperature data and paleotemperatures of the second target reservoirs during diagenesis. Then, combined with... Figure 5 The regional burial history map shown identifies the paleoburial depth of the second target reservoir in the Yuquan tectonic inversion zone during its diagenetic period. Finally, the paleoburial depth of the second target reservoir during its diagenetic period is plotted on the paleotectonic map of the diagenetic period, thus obtaining the following... Figure 6 The diagram shows the spatial distribution of high-quality third-target reservoirs in the deep tight sandstone reservoirs of the Yuquan tectonic inversion zone during the diagenetic period.

[0053] In summary, this invention provides a method for identifying high-quality reservoirs in deep tight sandstone formation during their diagenetic period in tectonic inversion zones based on paleotectonic reconstruction and diagenetic evolution. This method includes: acquiring static and dynamic data related to the cored well sections; conducting diagenetic facies studies and classification of the cored well sections based on the static data to determine the favorable diagenetic facies and their development locations within the cored well sections of deep tight sandstone reservoirs in tectonic inversion zones; determining the well sections and locations of relatively high-quality reservoirs within the tectonic inversion zones based on the determined favorable diagenetic facies and their development locations, combined with dynamic data; establishing electrical property standards for relatively high-quality reservoirs in the current tectonic inversion zones based on the well logging curves of the determined well sections with relatively high-quality reservoirs; and identifying the distribution range of high-quality reservoirs within the current tectonic region based on the electrical property standards and the electrical characteristics of drilled wells in the region. Based on the current distribution range of high-quality reservoirs within the tectonic region, combined with regional geological background data and core data, this invention determines the distribution range of relatively high-quality reservoirs during the diagenetic period in deep tight sandstone reservoirs within tectonic inversion zones. This invention can accurately and effectively identify relatively high-quality reservoirs during the diagenetic period of deep tight sandstone within tectonic inversion zones.

[0054] This invention provides a method for identifying relatively high-quality reservoirs in deep tight sandstone formations during diagenesis in tectonic inversion zones. It effectively and quickly solves the problem of inaccurate identification of relatively high-quality reservoirs in tectonic inversion areas where the current stratigraphic structure differs significantly from that of the diagenetic period, leading to a mismatch between the current structure and the dominant facies zones formed during diagenetic evolution. Specifically, this invention improves the accuracy of high-quality reservoir identification by restoring the distribution of dominant diagenetic facies during the diagenetic period, thus meeting the current goal of refined reservoir research and evaluation in tight oil and gas exploration and development. This invention significantly promotes tight oil and gas exploration and development in tectonic inversion zones and also provides technical means and ideas for the identification and research of similar reservoirs, thus possessing significant practical value.

[0055] On the other hand, the present invention also provides a reservoir identification system 200 for tight sandstone in tectonic inversion zones during diagenesis, such as... Figure 7 As shown, the identification system 200 may include: The first determining device 210 is used to determine the favorable diagenetic facies and development location of the characteristic well in the core section based on the regional geological background data of the tight sandstone and the static data of the characteristic well in the core section of the tight sandstone.

[0056] The second determining device 220 is used to determine the development interval and location of the relatively high-quality first target reservoir based on the dynamic data of the characteristic well in the core section, at the favorable diagenetic facies and development location of the core section.

[0057] The third determining device 230 is used to determine the distribution range of the second target reservoir in the current structural area based on the electrical standards of the first target reservoir and the electrical characteristics of the characteristic well.

[0058] The fourth determining device 240 is used to determine the distribution range of the third target reservoir in the diagenetic period of the tight sandstone in the tectonic inversion zone based on the distribution range of the second target reservoir and the static data of the tight sandstone. Optionally, the static data includes core data, drilling oil and gas display data, and single-well logging curve data. The first determining device 210 can be used to specifically perform: determining the unstable mineral dissolution facies under the action of acidic fluids as the favorable diagenetic facies developed in the cored well section based on the regional geological background data; dividing the characteristic well into diagenetic facies based on the core data; and determining the location of the unstable mineral dissolution facies in the characteristic well as the development location of the favorable diagenetic facies in the cored well section.

[0059] Optionally, the regional geological background data includes: regional geology, regional burial history data, and regional paleotectonic maps; the core data includes: core observation and description records, core physical property data, thin section identification data, cathodoluminescence data, scanning electron microscopy data, lithological analysis data, X-ray diffraction analysis data, fluid inclusion analysis data, and mercury intrusion porosimetry parameter data.

[0060] Optionally, the dynamic data includes: single-well oil testing data, single-well oil production data, and single-well cumulative oil production data.

[0061] Optionally, the electrical criterion of the first target reservoir is determined by: determining a target logging curve from among the multiple characteristic logging curves of the cored well section based on their sensitivity to the favorable diagenetic facies; obtaining the response characteristics of the target logging curve on the first target reservoir; and determining the electrical criterion of each target logging curve in an inductive manner based on the data distribution of the response characteristics of the characteristic logging curves.

[0062] Optionally, multiple characteristic logging curves for the cored well section are determined using a data-calibrated logging method. The target logging curves include: sonic transit time, resistivity, natural gamma ray, density, and neutron logging. The electrical standard for sonic transit time is 180-215 μS / ft; the electrical standard for resistivity is less than 20 Ω / m; the electrical standard for natural gamma ray is 55-75 API; and the electrical standard for density is 2.5-2.6 g / cm³. 3 The electrical standard for neutron logging is 10-13%.

[0063] Optionally, the regional geological background data includes a regional burial history map and a paleotectonic map of the tight sandstone in the tectonic inversion zone during its diagenetic period. The fourth determining device 240 can be used to specifically perform the following: based on the distribution range of the second target reservoir and combined with core data from the static data, determine the siliceous cement inclusion temperature data of the second target reservoir; based on the siliceous cement inclusion temperature data, determine the paleotemperature of the second target reservoir during its diagenetic period; based on the paleotemperature of the second target reservoir during its diagenetic period and the regional burial history map, determine the paleodepth of the second target reservoir during its diagenetic period; and based on the paleotectonic map of the tectonic inversion zone during its diagenetic period and the paleodepth, determine the spatial distribution map of the tight sandstone in the tectonic inversion zone during its diagenetic period, as the distribution range of the third target reservoir.

[0064] Through the above technical solution, this invention can effectively and quickly solve the problem in tectonic inversion areas where the current stratigraphic structure differs significantly from that of the diagenetic period, leading to a mismatch between the current structure and the dominant facies zones formed during diagenetic evolution, thus making it difficult to accurately identify relatively high-quality reservoirs. Specifically, this invention improves the accuracy of high-quality reservoir identification by restoring the distribution of dominant diagenetic facies from the diagenetic period, meeting the current goal of refined reservoir research and evaluation in tight oil and gas exploration and development. This invention strongly promotes tight oil and gas exploration and development in tectonic inversion zones and also provides technical means and ideas for the identification and research of similar reservoirs, thus possessing significant practical value.

[0065] This invention also provides a storage medium storing a program that, when executed by a processor, implements a method for reservoir identification of tight sandstone in tectonic inversion zones during diagenesis.

[0066] This invention also provides a processor for running a program, wherein the program executes a method for reservoir identification of tight sandstone in tectonic inversion zones during diagenesis.

[0067] This invention also provides a device, which may include a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements the various steps of the reservoir identification method for tight sandstone in the diagenetic period of the above-described tectonic inversion zone. The device described herein may be a server, PC, PAD, mobile phone, etc.

[0068] This application also provides a computer program product that, when executed on a data processing device, is adapted to perform the steps of a method for initializing reservoir identification of tight sandstone with tectonic inversion zones as described above during diagenesis.

[0069] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0070] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0071] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0072] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0073] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0074] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0075] Computer-readable media include both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0076] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0077] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for reservoir identification in tight sandstone of a tectonic inversion zone during its diagenetic period, characterized in that, The identification method includes: Based on the regional geological background data of the tight sandstone and the static data of the characteristic wells of the tight sandstone in the core section, the favorable diagenetic facies and development location of the characteristic wells in the core section are determined. Based on the dynamic data of the characteristic well in the cored section, the development section and location of the relatively high-quality first target reservoir are determined in the favorable diagenetic facies and development location of the cored section; Based on the electrical characteristics of the first target reservoir and the electrical characteristics of the characteristic wells, determine the distribution range of the second target reservoir within the current structural region; and Based on the distribution range of the second target reservoir and the static data of the tight sandstone, the distribution range of the third target reservoir in the diagenetic period of the tight sandstone in the tectonic inversion zone is determined.

2. The identification method according to claim 1, characterized in that, The static data includes core data, drilling oil and gas display data, and single-well logging curve data. The step of determining the favorable diagenetic facies and development location of the characteristic wells in the core sampling interval based on the regional geological background data of the tight sandstone and the static data of the characteristic wells in the core sampling interval includes: Based on the geological background data of the region, the unstable mineral dissolution facies under the action of acidic fluids was identified as the favorable diagenetic facies developed in the cored well section; Based on the core data, the characteristic wells were classified into diagenetic facies; and The location of the unstable mineral dissolution phase in the characteristic well is determined as the favorable diagenetic facies development location of the cored well section.

3. The identification method according to claim 2, characterized in that, The regional geological background data includes: regional geology, regional burial history data, and regional paleotectonic maps; The core data includes: core observation and description records, core physical property data, thin section identification data, cathodoluminescence data, scanning electron microscopy data, lithological analysis data, X-ray diffraction analysis data, fluid inclusion analysis data, and mercury intrusion porosimetry parameter data.

4. The identification method according to claim 1, characterized in that, The dynamic data includes: single-well oil testing data, single-well oil production data, and single-well cumulative oil production data.

5. The identification method according to claim 1, characterized in that, The electrical properties of the first target reservoir were determined in the following manner: Based on the sensitivity of multiple characteristic logging curves of the cored well section to the favorable diagenetic facies, a target logging curve is determined from the multiple characteristic logging curves; Obtain the response characteristics of the target logging curve on the first target reservoir; as well as Based on the data distribution of the response characteristics of the characteristic logging curves, the electrical standard of each target logging curve is determined in an inductive manner.

6. The identification method according to claim 5, characterized in that, Multiple characteristic logging curves of the cored well section are determined using data calibration logging methods. The target logging curves include: sonic transit time, resistivity, natural gamma, density, and neutron logging.

7. The identification method according to claim 1, characterized in that, The regional geological background data includes a regional burial history map and paleotectonic maps of the tight sandstone in the tectonic inversion zone during its diagenetic period. The step of determining the distribution range of the third target reservoir in the diagenetic period of the tight sandstone in the tectonic inversion zone based on the distribution range of the second target reservoir and the static data of the tight sandstone includes: Based on the distribution range of the second target reservoir and combined with the core data in the static data, the temperature measurement data of the siliceous cement inclusions in the second target reservoir were determined. Based on the thermometry data of the siliceous cement inclusions, the paleotemperature of the second target reservoir during the diagenetic period was determined; Based on the paleotemperature of the second target reservoir during its diagenetic period and the regional burial history map, the paleoburial depth of the second target reservoir during its diagenetic period is determined; and Based on the paleotectonic map of the tectonic inversion zone during its diagenetic period and the paleoburial depth, the spatial distribution map of the tight sandstone in the tectonic inversion zone during its diagenetic period is determined as the distribution range of the third target reservoir.

8. A reservoir identification system for tight sandstone in a tectonic inversion zone during its diagenetic period, characterized in that, The identification system includes: The first determining device is used to determine the favorable diagenetic facies and development location of the characteristic well in the core section based on the regional geological background data of the tight sandstone and the static data of the characteristic well in the core section of the tight sandstone. The second determining device is used to determine the development interval and location of the relatively high-quality first target reservoir in the cored well interval based on the dynamic data of the characteristic well in the cored well interval; A third determining device is used to determine the distribution range of a second target reservoir within the current structural region based on the electrical characteristics of the first target reservoir and the electrical characteristics of the characteristic well; and The fourth determining device is used to determine the distribution range of the third target reservoir in the diagenetic period of the tight sandstone in the tectonic inversion zone based on the distribution range of the second target reservoir and the static data of the tight sandstone.

9. A machine-readable storage medium, characterized in that, The machine-readable storage medium stores instructions for causing the machine to perform: a method for reservoir identification during diagenesis of tight sandstone in a tectonic inversion zone according to any one of claims 1-7.

10. A processor, characterized in that, The processor is used to run a program, wherein the program executes the following method for reservoir identification of tight sandstone in tectonic inversion zones during diagenesis, according to any one of claims 1-7.

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