Quantitative evaluation method and device for diagenesis phases of deep and ultra-deep compact sandstone reservoirs and electronic equipment

Abstract

The invention relates to the technical field of petroleum and natural gas exploration, in particular to a deep and ultra-deep compact sandstone reservoir diagenetic phase quantitative evaluation method and device and electronic equipment, and the method comprises the steps: determining diagenetic phase division related parameters of a target sequence; and substituting the diagenetic phase division related parameters into the diagenetic phase division standard of the target sequence to obtain a diagenetic phase division result of the target sequence. According to the method, related parameters are divided by introducing five types of diagenetic phases, so that the strength of the compact sandstone reservoir subjected to compaction, the strength of the compact sandstone reservoir subjected to cementation, the strength of the compact sandstone reservoir subjected to corrosion and the strength of the compact sandstone reservoir subjected to fracture can be better represented; therefore, more accurate diagenetic phase quantitative evaluation of the target sequence is realized, and manual subjective interference on diagenetic phase quantitative evaluation is eliminated to a greater extent by calculation of five types of diagenetic phase division related parameters and diagenetic phase quantitative evaluation based on a diagenetic phase division standard.

Description

Technical Field

[0001] This invention relates to the field of oil and gas exploration technology, specifically a method, apparatus, and electronic equipment for quantitative evaluation of diagenetic facies in deep and ultra-deep tight sandstone reservoirs. Background Technology

[0002] Compared to conventional reservoirs, tight sandstone reservoirs are characterized by low porosity and low permeability, and diagenesis is more intense. Therefore, diagenesis has become the main controlling factor for the development of high-quality tight sandstone reservoirs.

[0003] Currently, existing technologies include:

[0004] (1) Regarding the quantitative evaluation of diagenetic facies in deep and ultra-deep tight sandstone reservoirs, the method is based on modifying the endmembers of the QFL chart to establish a new sandstone classification chart to divide sandstone rock types, creating a diagenetic facies classification method based on rock types, using logging data from core wells in the study area to obtain the logging response characteristics of each diagenetic facies, and using the logging data of the identified rock facies to train a BP neural network to identify the diagenetic facies type of each well in the study area (e.g., Chinese patent document with publication number CN113820754B). However, this method is too subjective in its diagenetic facies classification, only creating a diagenetic facies classification method based on rock types, and lacks a quantitative evaluation standard for determining the degree of diagenesis.

[0005] (2) Regarding the classification of diagenetic facies in clastic reservoirs, the diagenetic facies of the target strata are determined by obtaining the apparent compaction rate, apparent cementation rate, apparent dissolution rate, apparent porosity, apparent microporosity, and diagenetic index of the target strata (e.g., Chinese patent documents with publication numbers CN108090278B and CN105651962B). However, deep and ultra-deep tight sandstone reservoirs have their own special characteristics. Due to the large burial depth, the variety of cements, and the complexity of diagenesis, the total porosity is small, resulting in a large calculated apparent dissolution rate, which cannot well characterize the degree of dissolution. At the same time, due to the development of microfractures caused by fracturing, the reservoir space type is significantly different from that of tight sandstone reservoirs shallower than 4500m. Therefore, the existing methods are not applicable to the quantitative evaluation of diagenetic facies in deep and ultra-deep tight sandstone reservoirs. Summary of the Invention

[0006] This invention provides a method, apparatus, and electronic equipment for quantitative evaluation of diagenetic facies in deep and ultra-deep tight sandstone reservoirs, overcoming the shortcomings of the prior art. It can effectively solve the problem that the inaccurate use of relevant parameters for diagenetic facies classification in the prior art leads to inaccurate quantitative evaluation of reservoir diagenetic facies.

[0007] One of the technical solutions of this invention is achieved through the following measures: a method for quantitative evaluation of the diagenetic facies of deep and ultra-deep tight sandstone reservoirs, comprising:

[0008] Determine the relevant parameters for diagenetic facies classification of the target sequence, including apparent compaction rate, apparent cementation rate, porosity increase from erosion, porosity increase from fracturing, and comprehensive diagenetic index;

[0009] By inputting the relevant parameters for diagenetic facies classification into the diagenetic facies classification criteria of the target sequence, the diagenetic facies classification results of the target sequence are obtained. The diagenetic facies classification criteria include setting thresholds for each relevant parameter for diagenetic facies classification, obtaining threshold classification results for each relevant parameter for diagenetic facies classification, and combining the threshold classification results for each relevant parameter for diagenetic facies classification to obtain the diagenetic facies classification criteria.

[0010] The following are further optimizations and / or improvements to the above-mentioned technical solution:

[0011] The aforementioned parameters for determining the diagenetic facies of the target sequence include:

[0012] The apparent compaction rate is obtained by using the initial porosity and the remaining interparticle porosity after compaction.

[0013]

[0014] Where com is the apparent compaction rate, %; φ1 is the initial porosity, %; φ2 is the remaining interparticle porosity after compaction, %; the apparent cementation rate is obtained by using the cement volume fraction and the remaining interparticle porosity after compaction.

[0015]

[0016] Where cem is the apparent cementation rate, %; c is the volume fraction of cement, %; φ2 is the remaining interparticle porosity after compaction, %; by using the interparticle dissolved porosity, intraparticle dissolved porosity and total porosity, the porosity is increased by corrosion.

[0017]

[0018] Wherein, φ3 is the porosity increased by dissolution, %; p2 is the intergranular porosity, %; p3 is the intragranular porosity, %; p is the total porosity, %; and φ0 is the current porosity, %;

[0019] By utilizing the microcrack porosity and the total porosity, we can obtain the porosity increase due to fracture.

[0020]

[0021] Wherein, φ4 represents the porosity increased by fracture, %; p4 represents the microcrack porosity, %; p represents the total porosity, %; and φ0 represents the current porosity, %;

[0022] Based on the above parameters related to diagenetic facies classification, a comprehensive diagenetic index is obtained;

[0023]

[0024] Among them, C g The comprehensive diagenetic index is %.

[0025] The process of obtaining the initial porosity and the remaining interparticle porosity after compaction includes:

[0026] The initial porosity is calculated using the following formula;

[0027] φ1 = 20.91 + 22.90 / S o

[0028] Where φ1 is the initial porosity, %; S o The Trask sorting coefficient;

[0029] The remaining interparticle porosity after compaction is obtained by using the current porosity, interparticle porosity, total porosity, and cement volume fraction.

[0030]

[0031] Wherein, φ2 is the remaining interparticle porosity after compaction, %; p1 is the interparticle porosity, %; p is the total porosity, %; φ0 is the current porosity, %; and c is the cementitious volume fraction, %.

[0032] The process of obtaining the above-mentioned microporosity includes:

[0033] Microporosity = (Current porosity - Total porosity) / Current porosity × 100%.

[0034] The above also includes determining the target sequence, including:

[0035] Based on high-resolution sequence stratigraphy theory, the target strata in the study area are divided into medium-term or short-term cycles using sequence stratigraphic identification markers from field outcrops, well cores, and geophysical data, and the target sequence is determined within them.

[0036] The above also includes the diagenetic evolution sequence for determining the target sequence, including:

[0037] Experimental parameters for obtaining key core wells of the target sequence were obtained, including ordinary thin sections, cast thin sections, physical properties, grain size, scanning electron microscopy, and X-ray diffraction.

[0038] The experimental parameters of key core wells of the target sequence were analyzed to identify the diagenetic processes that occurred during geological history and to clarify the diagenetic evolution sequence of the target sequence.

[0039] The second technical solution of the present invention is achieved through the following measures: a device for quantitative evaluation of diagenetic facies in deep and ultra-deep tight sandstone reservoirs, comprising:

[0040] The parameter acquisition unit determines the diagenetic facies classification parameters of the target sequence, including apparent compaction rate, apparent cementation rate, porosity increase due to erosion, porosity increase due to fracturing, and comprehensive diagenetic index.

[0041] The evaluation unit inputs the relevant parameters for diagenetic facies classification into the diagenetic facies classification criteria of the target sequence to obtain the diagenetic facies classification results of the target sequence. The diagenetic facies classification criteria include setting thresholds for each relevant parameter for diagenetic facies classification, obtaining threshold classification results for each relevant parameter for diagenetic facies classification, and combining the threshold classification results for each relevant parameter for diagenetic facies classification to obtain the diagenetic facies classification criteria.

[0042] The following are further optimizations and / or improvements to the above-mentioned technical solution:

[0043] The above parameter acquisition unit includes:

[0044] The first acquisition module uses the initial porosity and the remaining interparticle porosity after compaction to obtain the apparent compaction rate;

[0045]

[0046] Where com is the apparent compaction rate, %; φ1 is the initial porosity, %; and φ2 is the remaining interparticle porosity after compaction, %;

[0047] The second acquisition module uses the volume fraction of cementitious material and the remaining interparticle porosity after compaction to obtain the apparent cementation rate;

[0048]

[0049] Where cem is the apparent cementation rate, %; c is the volume fraction of cementitious material, %; φ2 is the remaining interparticle porosity after compaction, %;

[0050] The third acquisition module uses the intergranular dissolved porosity, intragranular dissolved porosity, and total porosity to obtain the porosity increased by corrosion.

[0051]

[0052] Wherein, φ3 is the porosity increased by dissolution, %; p2 is the intergranular porosity, %; p3 is the intragranular porosity, %; p is the total porosity, %; and φ0 is the current porosity, %;

[0053] The fourth acquisition module uses the microcrack porosity and the total porosity to obtain the porosity increased by the fracture.

[0054]

[0055] Wherein, φ4 represents the porosity increased by fracture, %; p4 represents the microcrack porosity, %; p represents the total porosity, %; and φ0 represents the current porosity, %;

[0056] The fifth acquisition module obtains the comprehensive diagenetic index based on the aforementioned diagenetic facies classification parameters;

[0057]

[0058] Among them, C g The comprehensive diagenetic index is %.

[0059] The above also includes:

[0060] The target sequence determination unit, based on high-resolution sequence stratigraphy theory, utilizes sequence stratigraphic identification markers from field outcrops, well cores, and geophysical data to divide the target strata in the study area into medium-term or short-term cycles, and then determines the target sequence within them;

[0061] Evolutionary sequence determination unit, which determines the diagenetic evolution sequence of the target sequence, including:

[0062] Experimental parameters for obtaining key core wells of the target sequence were obtained, including ordinary thin sections, cast thin sections, physical properties, grain size, scanning electron microscopy, and X-ray diffraction.

[0063] The experimental parameters of key core wells of the target sequence were analyzed to identify the diagenetic processes that occurred during geological history and to clarify the diagenetic evolution sequence of the target sequence.

[0064] This invention introduces five types of diagenetic facies classification parameters: apparent compaction rate, apparent cementation rate, porosity increased by erosion, porosity increased by fracturing, and comprehensive diagenetic index. Based on these five types of diagenetic facies classification parameters, a diagenetic facies classification standard is set. Thus, by introducing these five types of diagenetic facies classification parameters, the intensity of compaction, cementation, dissolution, and fracturing of tight sandstone reservoirs can be better characterized. This achieves a more accurate quantitative evaluation of the diagenetic facies of the target sequence. Furthermore, the calculation of the five types of diagenetic facies classification parameters and the quantitative evaluation of diagenetic facies based on the diagenetic facies classification standard largely eliminate the interference of subjective human factors in the quantitative evaluation of diagenetic facies. Attached Figure Description

[0065] Appendix Figure 1 This is a schematic diagram of the process for a quantitative evaluation method of diagenetic facies according to the present invention.

[0066] Appendix Figure 2 This is a schematic diagram of another quantitative evaluation method for diagenetic facies according to the present invention.

[0067] Appendix Figure 3This is a schematic diagram of the structure of a diagenetic facies quantitative evaluation device according to the present invention.

[0068] Appendix Figure 4 This is a schematic diagram of another diagenetic facies quantitative evaluation device according to the present invention. Detailed Implementation

[0069] The present invention is not limited to the following embodiments, and the specific implementation can be determined according to the technical solution of the present invention and the actual situation.

[0070] The present invention will be further described below with reference to embodiments and accompanying drawings:

[0071] Example 1: As shown in the attached document Figure 1 As shown in the figure, this invention discloses a method for quantitative evaluation of the diagenetic facies of deep and ultra-deep tight sandstone reservoirs, including:

[0072] Step S110: Determine the relevant parameters for diagenetic facies classification of the target sequence, including apparent compaction rate, apparent cementation rate, porosity increase due to erosion, porosity increase due to fracturing, and comprehensive diagenetic index.

[0073] Step S120: Input the relevant parameters of diagenetic facies classification into the diagenetic facies classification standard of the target sequence to obtain the diagenetic facies classification result of the target sequence. The diagenetic facies classification standard includes setting the threshold of each relevant parameter of diagenetic facies classification, obtaining the threshold classification result of each relevant parameter of diagenetic facies classification, and combining the threshold classification results of each relevant parameter of diagenetic facies classification to obtain the diagenetic facies classification standard.

[0074] This invention discloses a method for quantitative evaluation of diagenetic facies in deep and ultra-deep tight sandstone reservoirs. It introduces five types of diagenetic facies classification parameters: apparent compaction rate, apparent cementation rate, porosity increased by erosion, porosity increased by fracturing, and comprehensive diagenetic index. Based on these five types of parameters, a diagenetic facies classification standard is established. By introducing these five types of parameters, the intensity of compaction, cementation, dissolution, and fracturing in tight sandstone reservoirs can be better characterized. This achieves a more accurate quantitative evaluation of the diagenetic facies of the target sequence. Furthermore, the calculation of the five types of parameters and the quantitative evaluation based on the diagenetic facies classification standard largely eliminate the interference of subjective human intervention in the quantitative evaluation of diagenetic facies.

[0075] Example 2: This embodiment of the invention discloses a method for quantitative evaluation of the diagenetic facies of deep and ultra-deep tight sandstone reservoirs, including:

[0076] Step S210: Determine the relevant parameters for diagenetic facies classification of the target sequence, including apparent compaction rate, apparent cementation rate, porosity increase due to erosion, porosity increase due to fracturing, and comprehensive diagenetic index.

[0077] The above steps specifically include:

[0078] (1) The apparent compaction rate is obtained by using the initial porosity and the remaining interparticle porosity after compaction;

[0079]

[0080] Where com is the apparent compaction rate, %; φ1 is the initial porosity, %; and φ2 is the remaining interparticle porosity after compaction, %;

[0081] The process of obtaining the initial porosity and the remaining interparticle porosity after compaction includes:

[0082] (a) The initial porosity was calculated based on the measured porosity relationship of consolidated sandstone under different sorting conditions proposed by M. Scherer and DCBeard et al., as shown in the following formula:

[0083] φ1 = 20.91 + 22.90 / S o

[0084] Where φ1 is the initial porosity, %; S o The Trask sorting coefficient;

[0085] (b) Using the current porosity, interparticle porosity, total porosity and cement volume fraction, the remaining interparticle porosity after compaction is obtained;

[0086]

[0087] Wherein, φ2 is the remaining interparticle porosity after compaction, %; p1 is the interparticle porosity, %; p is the total porosity, %; φ0 is the current porosity, %; and c is the cementitious volume fraction, %.

[0088] In step (1), compaction refers to a diagenetic process in which the total volume of sediments decreases and porosity decreases under the action of overlying water and sediment load pressure. The intensity of compaction in tight sandstone reservoirs can be quantitatively characterized by calculating the apparent compaction rate.

[0089] (2) The apparent cementation rate is obtained by using the volume fraction of cementitious material and the remaining interparticle porosity after compaction;

[0090]

[0091] Where cem is the apparent cementation rate, %; c is the volume fraction of cementitious material, %; φ2 is the remaining interparticle porosity after compaction, %;

[0092] Since different types of cement fill the primary intergranular pores, they mainly have a negative impact on reservoir properties. In order to quantitatively characterize the strength of cementation in tight sandstone reservoirs, it is necessary to calculate the apparent cementation rate. In step (2), the apparent cementation rate is obtained by using the volume fraction of cement and the remaining intergranular porosity after compaction.

[0093] (3) By utilizing the intergranular dissolved porosity, intragranular dissolved porosity, and total porosity, we can obtain the porosity increase.

[0094]

[0095] Wherein, φ3 is the porosity increased by dissolution, %; p2 is the intergranular porosity, %; p3 is the intragranular porosity, %; p is the total porosity, %; and φ0 is the current porosity, %;

[0096] Since the intergranular and intragranular dissolution pores formed by the dissolution process can greatly improve the reservoir properties of tight sandstone reservoirs, this invention chooses to increase porosity through dissolution to quantitatively characterize the intensity of the dissolution process on tight sandstone reservoirs. Therefore, by using the intergranular dissolution pore porosity, intragranular dissolution pore porosity and total porosity in step (3), the porosity increased by dissolution is obtained.

[0097] (4) By utilizing the microcrack porosity and the total porosity, the porosity is increased by the fracture.

[0098]

[0099] Wherein, φ4 represents the porosity increased by fracture, %; p4 represents the microcrack porosity, %; p represents the total porosity, %; and φ0 represents the current porosity, %;

[0100] Fracture refers to the rupture of rigid particles when they exceed their fracture pressure or are subjected to external stress. The resulting microcracks, without being filled or cemented, provide good storage space. At the same time, these microcracks can connect isolated pores to each other, greatly improving the permeability of tight sandstone reservoirs. Therefore, this invention selects fracture-increased porosity to quantitatively characterize the intensity of fracture in tight sandstone reservoirs. Thus, through step (4), the porosity is increased by utilizing the microcrack porosity and the total porosity.

[0101] (5) Based on the above-mentioned parameters related to diagenetic facies classification, the comprehensive diagenetic index is obtained;

[0102]

[0103] Among them, C g The comprehensive diagenetic index is %.

[0104] Wherein, microporosity = (current porosity - total porosity) / current porosity × 100%.

[0105] This step (5) integrates the diagenetic index to reflect the impact of various diagenetic processes on reservoir space.

[0106] Step S220: Input the relevant parameters of diagenetic facies classification into the diagenetic facies classification standard of the target sequence to obtain the diagenetic facies classification result of the target sequence. The diagenetic facies classification standard includes setting the threshold of each relevant parameter of diagenetic facies classification, obtaining the threshold classification result of each relevant parameter of diagenetic facies classification, and combining the threshold classification results of each relevant parameter of diagenetic facies classification to obtain the diagenetic facies classification standard.

[0107] In step S220 above, when setting the diagenetic facies classification criteria, the threshold values ​​of each diagenetic facies classification parameter and the threshold classification results of each diagenetic facies classification parameter can be combined based on the analysis of historical deep and ultra-deep tight sandstone reservoirs.

[0108] For example, but not limited to, the following settings can be made:

[0109] (1) Set the threshold values ​​for the parameters related to the division of each diagenetic facies, and obtain the following threshold classification results for the parameters related to the division of each diagenetic facies;

[0110] Based on the compaction rate (com): com ≥ 70%, strong compaction; com < 70%, moderate compaction.

[0111] Based on the compaction rate (cem): cem≥70%, strong bonding; cem<70%, moderate bonding;

[0112] Dissolution increases porosity (φ3): φ3≥2.5%, the degree of dissolution is strong; φ3<2.5%, the degree of dissolution is weak;

[0113] Increased porosity due to fracture (φ4): φ4>0 indicates the development of microcracks; φ4=0 indicates the absence of microcracks.

[0114] Comprehensive diagenetic coefficient (C) g ):C g ≥40%, strong degree; C g <40%, indicating a weak degree.

[0115] (2) Combine the threshold classification results of the relevant parameters for each diagenetic facies to obtain the diagenetic facies classification standard.

[0116] Medium-compacted residual intergranular porous phase: simultaneously satisfying apparent compaction rate (com) < 70%, porosity increase from dissolution (φ3) < 2.5%, porosity increase from fracturing (φ4) = 0, and comprehensive diagenetic coefficient (C)g ≥40%;

[0117] Medium-compacted residual intergranular porosity: simultaneously satisfying apparent compaction rate (com) < 70%, porosity increase from dissolution (φ3) ≥ 2.5%, porosity increase from fracturing (φ4) = 0, and comprehensive diagenetic coefficient (C) g ≥40%;

[0118] Strongly compacted dense phase: simultaneously satisfying apparent compaction rate (com) ≥ 70%, apparent cementation rate (cem) < 70%, porosity increase from dissolution (φ3) < 2.5%, porosity increase from fracturing (φ4) = 0, and comprehensive diagenetic coefficient (C) g <40%;

[0119] Strongly compacted and strongly cemented dense phase: simultaneously satisfying apparent compaction rate (com) ≥ 70%, apparent cementation rate (cem) ≥ 70%, porosity increase from dissolution (φ3) < 2.5%, porosity increase from fracturing (φ4) = 0, and comprehensive diagenetic coefficient (C) g <40%;

[0120] Strongly compacted, strongly cemented micro-fractured phase: simultaneously satisfying apparent compaction rate (com) ≥ 70%, apparent cementation rate (cem) ≥ 70%, porosity increase from dissolution (φ3) < 2.5%, porosity increase from fracture (φ4) > 0, and comprehensive diagenetic coefficient (C g <40%;

[0121] Strongly compacted dissolution phase: simultaneously satisfying apparent compaction rate (com) ≥ 70%, apparent cementation rate (cem) < 70%, porosity increase from dissolution (φ3) ≥ 2.5%, porosity increase from fracturing (φ4) = 0, and comprehensive diagenetic coefficient (C) g ≥40%;

[0122] Strongly compacted dissolution microfracture facies: simultaneously satisfying apparent compaction rate (com) ≥ 70%, apparent cementation rate (cem) < 70%, dissolution-induced porosity (φ3) ≥ 2.5%, fracture-induced porosity (φ4) > 0, and comprehensive diagenetic coefficient (C). g ≥40%.

[0123] Example 3: As shown in the attached document Figure 2 As shown in the figure, this invention discloses a method for quantitative evaluation of the diagenetic facies of deep and ultra-deep tight sandstone reservoirs, including:

[0124] Step S310, determine the target sequence, including:

[0125] Based on high-resolution sequence stratigraphy theory, using sequence stratigraphic identification markers from field outcrops, well cores, and geophysical data, the target strata in the study area are divided into medium-term or short-term cycles, and the target sequence is determined within them.

[0126] Step S320, determine the diagenetic evolution sequence of the target sequence, including:

[0127] (1) Obtain experimental parameters of the target sequence core wells, including ordinary thin sections, cast thin sections, physical properties, grain size, scanning electron microscopy and X-ray diffraction.

[0128] (2) Analyze the experimental parameters of the key core wells of the target sequence to identify the diagenetic processes that occurred during geological history and clarify the diagenetic evolution sequence of the target sequence;

[0129] Step S330: Determine the relevant parameters for diagenetic facies classification of the target sequence, including apparent compaction rate, apparent cementation rate, porosity increase from erosion, porosity increase from fracturing, and comprehensive diagenetic index.

[0130] Step S340: Input the relevant parameters for diagenetic facies classification into the diagenetic facies classification criteria of the target sequence to obtain the diagenetic facies classification result of the target sequence. The diagenetic facies classification criteria include setting the threshold of each relevant parameter for diagenetic facies classification, obtaining the threshold classification result of each relevant parameter for diagenetic facies classification, and combining the threshold classification results of each relevant parameter for diagenetic facies classification to obtain the diagenetic facies classification criteria.

[0131] When setting the diagenetic facies classification criteria, the threshold values ​​of each diagenetic facies classification parameter and the threshold classification results of each diagenetic facies classification parameter can be combined based on the analysis of historical deep and ultra-deep tight sandstone reservoirs. Furthermore, when formulating the diagenetic facies classification criteria, the possible diagenetic facies can be selected and determined by combining the diagenetic evolution sequence of the target sequence.

[0132] Example 4: As shown in the appendix Figure 3 As shown in the figure, an embodiment of the present invention discloses a device for quantitative evaluation of diagenetic facies in deep and ultra-deep tight sandstone reservoirs, comprising:

[0133] The parameter acquisition unit determines the diagenetic facies classification parameters of the target sequence, including apparent compaction rate, apparent cementation rate, porosity increase due to erosion, porosity increase due to fracturing, and comprehensive diagenetic index.

[0134] The evaluation unit inputs the relevant parameters for diagenetic facies classification into the diagenetic facies classification criteria of the target sequence to obtain the diagenetic facies classification results of the target sequence. The diagenetic facies classification criteria include setting thresholds for each relevant parameter for diagenetic facies classification, obtaining threshold classification results for each relevant parameter for diagenetic facies classification, and combining the threshold classification results for each relevant parameter for diagenetic facies classification to obtain the diagenetic facies classification criteria.

[0135] The parameter acquisition unit includes:

[0136] The first acquisition module uses the initial porosity and the remaining interparticle porosity after compaction to obtain the apparent compaction rate;

[0137]

[0138] Where com is the apparent compaction rate, %; φ1 is the initial porosity, %; and φ2 is the remaining interparticle porosity after compaction, %;

[0139] The second acquisition module uses the volume fraction of cementitious material and the remaining interparticle porosity after compaction to obtain the apparent cementation rate;

[0140]

[0141] Where cem is the apparent cementation rate, %; c is the volume fraction of cementitious material, %; φ2 is the remaining interparticle porosity after compaction, %;

[0142] The third acquisition module uses the intergranular dissolved porosity, intragranular dissolved porosity, and total porosity to obtain the porosity increased by corrosion.

[0143]

[0144] Wherein, φ3 is the porosity increased by dissolution, %; p2 is the intergranular porosity, %; p3 is the intragranular porosity, %; p is the total porosity, %; and φ0 is the current porosity, %;

[0145] The fourth acquisition module uses the microcrack porosity and the total porosity to obtain the porosity increased by the fracture.

[0146]

[0147] Wherein, φ4 represents the porosity increased by fracture, %; p4 represents the microcrack porosity, %; p represents the total porosity, %; and φ0 represents the current porosity, %;

[0148] The fifth acquisition module obtains the comprehensive diagenetic index based on the aforementioned diagenetic facies classification parameters;

[0149]

[0150] Among them, C g The comprehensive diagenetic index is %.

[0151] Example 5: As shown in the attached document Figure 4 As shown in the figure, an embodiment of the present invention discloses a device for quantitative evaluation of diagenetic facies in deep and ultra-deep tight sandstone reservoirs, comprising:

[0152] The target sequence determination unit, based on high-resolution sequence stratigraphy theory, utilizes sequence stratigraphic identification markers from field outcrops, well cores, and geophysical data to divide the target strata in the study area into medium-term or short-term cycles, and then determines the target sequence within them;

[0153] Evolutionary sequence determination unit, which determines the diagenetic evolution sequence of the target sequence, including:

[0154] Experimental parameters for obtaining key core wells of the target sequence were obtained, including ordinary thin sections, cast thin sections, physical properties, grain size, scanning electron microscopy, and X-ray diffraction.

[0155] The experimental parameters of the key core wells of the target sequence were analyzed to identify the diagenetic processes that occurred during geological history and to clarify the diagenetic evolution sequence of the target sequence.

[0156] The parameter acquisition unit determines the diagenetic facies classification parameters of the target sequence, including apparent compaction rate, apparent cementation rate, porosity increase due to erosion, porosity increase due to fracturing, and comprehensive diagenetic index.

[0157] The evaluation unit inputs the relevant parameters for diagenetic facies classification into the diagenetic facies classification criteria of the target sequence to obtain the diagenetic facies classification results of the target sequence. The diagenetic facies classification criteria include setting thresholds for each relevant parameter for diagenetic facies classification, obtaining threshold classification results for each relevant parameter for diagenetic facies classification, and combining the threshold classification results for each relevant parameter for diagenetic facies classification to obtain the diagenetic facies classification criteria.

[0158] Example 6: This embodiment of the invention discloses an electronic device, including a processor and a memory. The memory stores a computer program, which is loaded and executed by the processor to realize a method for quantitative evaluation of diagenetic facies in deep and ultra-deep tight sandstone reservoirs.

[0159] The processor described above can be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an ASIC, an FPGA, or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. It can also be a combination that implements computational functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc. The memory can include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory, portable hard drives, magnetic disks, or optical disks.

[0160] 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 implemented 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. The solutions in the embodiments of this application can be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0161] 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.

[0162] 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.

[0163] The above technical features constitute the preferred embodiment of the present invention, which has strong adaptability and optimal implementation effect. Unnecessary technical features can be added or removed according to actual needs to meet the requirements of different situations.

Claims

1. A method for quantitative evaluation of diagenetic facies in deep and ultra-deep tight sandstone reservoirs, characterized in that, include: Determine the relevant parameters for diagenetic facies classification of the target sequence, including apparent compaction rate, apparent cementation rate, porosity increase from erosion, porosity increase from fracturing, and comprehensive diagenetic index; By inputting the relevant parameters for diagenetic facies classification into the diagenetic facies classification criteria of the target sequence, the diagenetic facies classification results of the target sequence are obtained. The diagenetic facies classification criteria include setting thresholds for each relevant parameter for diagenetic facies classification, obtaining threshold classification results for each relevant parameter for diagenetic facies classification, and combining the threshold classification results for each relevant parameter for diagenetic facies classification to obtain the diagenetic facies classification criteria.

2. The method for quantitative evaluation of diagenetic facies in deep and ultra-deep tight sandstone reservoirs according to claim 1, characterized in that, The diagenetic facies classification parameters for determining the target sequence include: The apparent compaction rate is obtained by using the initial porosity and the remaining interparticle porosity after compaction. Where com is the apparent compaction rate, %; φ1 is the initial porosity, %; and φ2 is the remaining interparticle porosity after compaction, %; The apparent cementation rate is obtained by using the volume fraction of cementitious material and the remaining interparticle porosity after compaction. Where cem is the apparent cementation rate, %; c is the volume fraction of cementitious material, %; φ2 is the remaining interparticle porosity after compaction, %; By utilizing the intergranular dissolved porosity, intragranular dissolved porosity, and total porosity, we can obtain data on increasing porosity through corrosion. Wherein, φ3 is the porosity increased by dissolution, %; p2 is the intergranular porosity, %; p3 is the intragranular porosity, %; p is the total porosity, %; and φ0 is the current porosity, %; By utilizing the microcrack porosity and the total porosity, we can obtain the porosity increase due to fracture. Wherein, φ4 represents the porosity increased by fracture, %; p4 represents the microcrack porosity, %; p represents the total porosity, %; and φ0 represents the current porosity, %; Based on the above parameters related to diagenetic facies classification, a comprehensive diagenetic index is obtained; Among them, C g The comprehensive diagenetic index is %.

3. The method for quantitative evaluation of diagenetic facies in deep and ultra-deep tight sandstone reservoirs according to claim 2, characterized in that, The process of obtaining the initial porosity and the remaining intergranular porosity after compaction includes: The initial porosity is calculated using the following formula; φ1=20.91+22.90 / S o Where φ1 is the initial porosity, %; S o The Trask sorting coefficient; The remaining interparticle porosity after compaction is obtained by using the current porosity, interparticle porosity, total porosity, and cement volume fraction. Wherein, φ2 is the remaining interparticle porosity after compaction, %; p1 is the interparticle porosity, %; p is the total porosity, %; φ0 is the current porosity, %; and c is the cementitious volume fraction, %.

4. The method for quantitative evaluation of diagenetic facies of deep and ultra-deep tight sandstone reservoirs according to claim 2 or 3, characterized in that, The process of obtaining the microporosity includes: Microporosity = (Current porosity - Total porosity) / Current porosity × 100%.

5. The method for quantitative evaluation of diagenetic facies of deep and ultra-deep tight sandstone reservoirs according to any one of claims 1 to 4, characterized in that, It also includes determining the target hierarchy, including: Based on high-resolution sequence stratigraphy theory, the target strata in the study area are divided into medium-term or short-term cycles using sequence stratigraphic identification markers from field outcrops, well cores, and geophysical data, and the target sequence is determined within them.

6. The method for quantitative evaluation of diagenetic facies of deep and ultra-deep tight sandstone reservoirs according to any one of claims 1 to 4, characterized in that, It also includes the diagenetic evolution sequence that identifies the target sequence, including: Experimental parameters for obtaining key core wells of the target sequence were obtained, including ordinary thin sections, cast thin sections, physical properties, grain size, scanning electron microscopy, and X-ray diffraction. The experimental parameters of key core wells of the target sequence were analyzed to identify the diagenetic processes that occurred during geological history and to clarify the diagenetic evolution sequence of the target sequence.

7. A device for quantitative evaluation of diagenetic facies of deep and ultra-deep tight sandstone reservoirs using the method described in any one of claims 1 to 6, characterized in that, include: The parameter acquisition unit determines the diagenetic facies classification parameters of the target sequence, including apparent compaction rate, apparent cementation rate, porosity increase due to erosion, porosity increase due to fracturing, and comprehensive diagenetic index. The evaluation unit inputs the relevant parameters for diagenetic facies classification into the diagenetic facies classification criteria of the target sequence to obtain the diagenetic facies classification results of the target sequence. The diagenetic facies classification criteria include setting thresholds for each relevant parameter for diagenetic facies classification, obtaining threshold classification results for each relevant parameter for diagenetic facies classification, and combining the threshold classification results for each relevant parameter for diagenetic facies classification to obtain the diagenetic facies classification criteria.

8. The quantitative evaluation device for diagenetic facies of deep and ultra-deep tight sandstone reservoirs according to claim 7, characterized in that, The parameter acquisition unit includes: The first acquisition module uses the initial porosity and the remaining interparticle porosity after compaction to obtain the apparent compaction rate; Where com is the apparent compaction rate, %; φ1 is the initial porosity, %; and φ2 is the remaining interparticle porosity after compaction, %; The second acquisition module uses the volume fraction of cementitious material and the remaining interparticle porosity after compaction to obtain the apparent cementation rate; Where cem is the apparent cementation rate, %; c is the volume fraction of cementitious material, %; φ2 is the remaining interparticle porosity after compaction, %; The third acquisition module uses the intergranular dissolved porosity, intragranular dissolved porosity, and total porosity to obtain the porosity increased by corrosion. Wherein, φ3 is the porosity increased by dissolution, %; p2 is the intergranular porosity, %; p3 is the intragranular porosity, %; p is the total porosity, %; and φ0 is the current porosity, %; The fourth acquisition module uses the microcrack porosity and the total porosity to obtain the porosity increased by the fracture. Wherein, φ4 represents the porosity increased by fracture, %; p4 represents the microcrack porosity, %; p represents the total porosity, %; and φ0 represents the current porosity, %; The fifth acquisition module obtains the comprehensive diagenetic index based on the aforementioned diagenetic facies classification parameters; Among them, C g The comprehensive diagenetic index is %.

9. The device for quantitative evaluation of diagenetic facies of deep and ultra-deep tight sandstone reservoirs according to claim 7 or 8, characterized in that, Also includes: The target sequence determination unit, based on high-resolution sequence stratigraphy theory, utilizes sequence stratigraphic identification markers from field outcrops, well cores, and geophysical data to divide the target strata in the study area into medium-term or short-term cycles, and then determines the target sequence within them; Evolutionary sequence determination unit, which determines the diagenetic evolution sequence of the target sequence, including: Experimental parameters for obtaining key core wells of the target sequence were obtained, including ordinary thin sections, cast thin sections, physical properties, grain size, scanning electron microscopy, and X-ray diffraction. The experimental parameters of key core wells of the target sequence were analyzed to identify the diagenetic processes that occurred during geological history and to clarify the diagenetic evolution sequence of the target sequence.

10. An electronic device, characterized in that, It includes a processor and a memory, wherein the memory stores a computer program, which is loaded and executed by the processor to implement the method for quantitative evaluation of diagenetic facies of deep and ultra-deep tight sandstone reservoirs as described in any one of claims 1 to 6.

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