A method for dynamically identifying coal rock hydrocarbon generation types based on microscopic components and thermal simulation yield

Abstract

The present application belongs to the technical field of geological exploration, and particularly relates to a coal rock hydrocarbon generation type dynamic identification method based on microscopic components and thermal simulation yield, which comprises carrying out low mature coal rock microscopic component separation and enrichment, and preparing vitrinite-rich coal samples, exinite-rich coal samples and inertinite-rich coal samples, carrying out hydrocarbon generation thermal simulation experiments under a closed system, and establishing a quantitative relationship equation of the microscopic component content, oil and gas yield and EasyRo parameter based on the quantitative data of the coal rock microscopic components and the hydrocarbon generation thermal simulation experiment results, further establishing gaseous hydrocarbon and liquid hydrocarbon yield calculation formulas, and constructing a microscopic component triangular chart applicable to coal rock type division. The present application constructs a coal rock type dynamic division method applicable to the low mature-mature stage, establishes gaseous hydrocarbon and liquid hydrocarbon yield formulas based on the microscopic component content at different thermal evolution stages of coal rock, and has important exploration practical significance for coal rock type division and oil and gas resource quantity evaluation.

Description

Technical Field

[0001] This invention relates to a dynamic identification method for coal and rock hydrocarbon generation types based on microscopic components and thermal simulation yield, belonging to the field of geological exploration technology. Background Technology

[0002] Deep coalbed methane, as a new type of unconventional natural gas, has achieved strategic breakthroughs in recent years and is an important guarantee for future national energy security. Coal and rock type is a crucial parameter for deep coalbed methane exploration and development, as well as for assessing its resource volume. It determines the proportion of liquid and gaseous hydrocarbons in the hydrocarbon generation process, thus affecting the scientific validity and reliability of resource reserve estimation, production capacity prediction, extraction scheme design, and utilization efficiency improvement.

[0003] Coal rock is also a source rock. In the evaluation of source rocks, hydrogen and oxygen indices, kerogen elemental composition, and microscopic component content are often used to assess the type of source rock. From a microscopic perspective, microscopic components are the genetic basis of kerogen parent material type, and their content determines whether kerogen is primarily gas-generating or oil-generating. When the content of sapropelic and scabra groups in the microscopic components is high, the source rock is mainly oil-producing; when vitrinite is dominant, the source rock is mainly gas-generating; when inertinite is dominant, the source rock basically does not generate hydrocarbons, and the oil and gas production is low. From a chemical perspective, the elemental composition of kerogen is the essential manifestation of the parent material's origin. When the kerogen H / C ratio is high and the O / C ratio is low, the source rock is mainly oil-generating with less gas generation; when the kerogen H / C ratio is low and the O / C ratio is high, the source rock is mainly gas-generating. From an experimental perspective, the hydrogen and oxygen indices obtained from rock pyrolysis can also effectively identify coal and rock types. When the hydrogen index is high and the oxygen index is low, the source rock is mainly for oil generation, while when the hydrogen index is low and the oxygen index is high, the source rock is mainly for gas generation.

[0004] Current organic matter evaluation standards primarily classify source rocks into Type I, Type II, and Type III source rocks. Type I source rocks are mainly oil-producing in the mature stage, Type II source rocks have a balanced oil and gas production in the mature stage, and Type III source rocks are mainly gas-producing in the mature stage. However, coal rocks have relatively high vitrinite content and almost no sapropelic content. Conventional organic matter classification schemes can only classify coal rocks into Type III and Type II kerogen. In actual exploration and development, coal rocks also possess certain oil-generating capabilities. For example, the Jurassic Yanchang Formation coal rocks in the Ordos Basin are in the low-mature to mature stage and have certain oil-generating potential; the Jurassic strata in the southern margin of the Junggar Basin also exhibit regional oil-rich characteristics. Therefore, current source rock identification methods are insufficient to accurately classify coal rock types, underestimate the oil-generating potential of coal rocks, and thus lead to errors in the calculation of coal rock oil and gas resources.

[0005] Regarding methods for classifying coal and petrology, most scholars' research mainly follows current identification standards and does not conduct detailed analysis on the oil and gas generation capacity and microscopic component content of coal and petrology at the mature stage. Furthermore, current related patents primarily focus on using well logging methods to identify the macroscopic types of coal and petrology. Patents such as "A method for identifying coal body structure and macroscopic coal and petrology types based on well logging curves," "A method for quantitatively identifying macroscopic coal and petrology types," "A method, device, equipment, and medium for identifying coal and petrology types based on well logging data," "A method for identifying the lithology and macroscopic coal and petrology types of coal-bearing target layers based on elemental logging," and "A method, system, and product for identifying coal and petrology types based on machine learning combined with well logging" use well logging curves and deep learning algorithms to identify coal and petrology structure and macroscopic coal and petrology types, classifying coal and petrology into bright coal, semi-bright coal, etc. However, these methods do not consider the relationship between the microscopic components of coal and petrology and oil and gas production. The patent "Integrated machine and method for coal sample crushing and micro-coal and rock type sorting" realizes the full-process automation and high-precision integration of coal sample crushing and micro-coal and rock type sorting. This patent mainly focuses on the separation and enrichment of micro-components of coal and rock, but lacks analysis related to coal and rock oil and gas yield.

[0006] Therefore, in order to quantitatively clarify the intrinsic relationship between the content of different microscopic components in coal and petrography and oil and gas yield, this study systematically revealed the differentiation law of oil and gas yield in the low-maturity to mature stage of coal and petrography, filling the research gap on the coupling relationship between the content of microscopic components in coal and petrography and the yield of gaseous and liquid hydrocarbons. Summary of the Invention

[0007] The purpose of this invention is to address the problems existing in the prior art by providing a dynamic identification method for coal and rock hydrocarbon generation types based on microscopic components and thermal simulation yield.

[0008] The technical solution provided by this invention to solve the above-mentioned technical problems is: a method for dynamic identification of coal-rock hydrocarbon generation types based on microscopic components and thermal simulation yield, comprising the following steps: Step S10: Separate and enrich the microscopic components of low-mature coal and prepare coal samples rich in vitrinite, chrysinite, and inertinite. Step S20: Conduct a thermal simulation experiment of hydrocarbon generation from source rocks under the closed system of gold tube-high pressure reactor, and obtain experimental data on gaseous hydrocarbon yield and liquid hydrocarbon yield under different EasyRo data for coal samples rich in vitrinite, rich in crustal material, and rich in inert material. Step S30: Based on the experimental data of gaseous hydrocarbon yield and liquid hydrocarbon yield under different EasyRo data, the Scheffé mixing model is used to establish the gaseous hydrocarbon and liquid hydrocarbon yield formulas for vitrinite-rich coal samples, chrysogenite-rich coal samples, and inertinite-rich coal samples, respectively. Step S40: Determine the prototypes of vitrinite-rich, inertite-rich, and crust-rich compositions based on vitrinite-rich, crust-rich, and inerite-rich coal samples, respectively. Step S50: Identify the orientation of the rich-inert composition. For the composition point to be identified, calculate its Euclidean distance to the rich-mirror composition prototype, the rich-inert composition prototype, and the rich-shell composition prototype, respectively. , and If it exists Mark the component points to be identified as the direction of rich inert components; Step S60: Establish the composition axis of the rich mirror and the rich shell, and calculate the projected coordinates of the composition points to be identified in the direction from the rich mirror composition prototype to the rich shell composition prototype. ; Step S70: Determine the boundaries of the rich mirror zone, the oil and gas co-existing corridor, and the rich crust zone; Step S80: Construct a set of microscopic components to be identified, and filter effective component points according to the preset lower limit of vitrinite, the preset upper limit of inertinite, and the preset upper limit of chitinite. Step S90: Calculate the total hydrocarbon production and maximum hydrocarbon production capacity at the current maturity stage based on the predicted yield of gaseous hydrocarbons and the predicted yield of liquid hydrocarbons; Step S100: Calculate the degree of hydrocarbon generation achievement based on the total hydrocarbon production and maximum hydrocarbon production capacity at the current maturity stage; Step S110: Calculate the proportion of gaseous hydrocarbons and the proportion of liquid hydrocarbons based on the predicted yield of gaseous hydrocarbons and the predicted yield of liquid hydrocarbons at the current maturity stage. Step S120: Set the boundary of the microscopic component triangular diagram, and finally identify the coal and rock type.

[0009] A further technical solution is that the specific process of step S10 includes: Step S11: Collect samples to obtain low-mature coal samples from field outcrops; Step S12: Grind the obtained low-maturity coal and rock to obtain a 200-mesh powder sample; Step S13: Soak the powder sample in 3 mol / L hydrochloric acid, then rinse with distilled water. Repeat the above steps 3 to 8 times to completely remove inorganic minerals. Then dry at room temperature to remove moisture from the sample. Step S14: Based on the processed coal sample, separate and enrich three different types of micro-components: vitrinite, chrysinite, and inertinite. The total percentage of the three components is 100%, and prepare vitrinite-rich coal samples, chrysinite-rich coal samples, and inertinite-rich coal samples.

[0010] A further technical solution is that the relative content of vitrinite in the prepared vitrinite-rich coal sample is not less than 70%, the relative content of chalcanthite in the prepared chalcanthite-rich coal sample is not less than 25%, and the relative content of inertinite in the prepared inertinite-rich coal sample is not less than 20%.

[0011] A further technical solution is that, in step S20, the experimental heating rate of the source rock hydrocarbon generation thermal simulation experiment is 2℃ / h, and 336℃, 360℃, 384℃, 408℃, 432℃, 456℃, 480℃, 504℃, 528℃, 552℃, 576℃, and 600℃ are set respectively to obtain experimental data on the yield of gaseous and liquid hydrocarbons at each thermal simulation temperature point.

[0012] A further technical solution is that the formula for the gaseous hydrocarbon yield is:

[0013]

[0014] In the formula: The content of vitrinite, % The content of inert group, % The content of chitinous components, % For EasyRo.

[0015] A further technical solution is that the formula for the yield of the liquid hydrocarbon is:

[0016]

[0017] In the formula: The content of vitrinite, % The content of inert group, % The content of chitinous components, % For EasyRo.

[0018] A further technical solution is that the specific process of step S70 is as follows: calculate the projected coordinates of the experimental vitrinite-rich coal sample and the experimental crust-rich coal sample respectively, and find the maximum value in the projected coordinates of the vitrinite-rich coal sample. Minimum value in the projected coordinates of the rich crust coal sample Set the first component boundary between them Second component boundary For non-rich inert composition directions, when the projected coordinates of the composition point to be identified are along the direction from the rich mirror composition prototype to the rich shell composition prototype... Not greater than When its basic composition type is determined to be vitreous gaseous coal; when the projection coordinates of the composition point to be identified in the direction from the vitreous composition prototype to the crustal composition prototype... Greater than and less than When its basic composition type is determined to be oil and gas co-generating coal; when the projection coordinates of the composition point to be identified in the direction from the rich mirror composition prototype to the rich crust composition prototype... Not less than At that time, its basic composition type was determined to be oil-rich coal with a rich shell.

[0019] A further technical solution is that the formula for calculating the maximum hydrocarbon production capacity is:

[0020] In the formula: This represents the maximum hydrocarbon production capacity that this combination of microcomponents can achieve throughout the entire thermal evolution range.

[0021] A further technical solution is that the formula for calculating the degree of hydrocarbon generation is:

[0022] In the formula: The degree of hydrocarbon generation achieved.

[0023] A further technical solution is that the calculation formulas for the proportion of gaseous hydrocarbons and the proportion of liquid hydrocarbons are as follows:

[0024]

[0025] In the formula: , These represent the proportions of gaseous hydrocarbons and liquid hydrocarbons, respectively.

[0026] The present invention has the following beneficial effects: 1. Based on the content of vitrinite, inertinite and scabra in coal and EasyRo, this invention establishes a micro-component-maturity mixing process model by combining the gaseous and liquid hydrocarbon yields obtained from closed-system hydrocarbon generation thermal simulation. This model can quantitatively calculate the gaseous and liquid hydrocarbon yields of different combinations of micro-components at different thermal evolution stages, overcoming the shortcomings of traditional I, II, and III organic matter classification methods in reflecting the differences in internal composition and oil generation potential of coal.

[0027] 2. By setting the positional parameters and boundaries of the rich mirror-rich and rich shell composition, and combining the proportion of gaseous hydrocarbons, the proportion of liquid hydrocarbons, and the degree of hydrocarbon generation, dynamic identification is carried out to ensure that the oil and gas co-generating coal is stably located between the rich mirror-rich gas-generating coal and the rich shell-rich oil-generating coal. At the same time, the rich inert low-yield coal is limited to the rich inert direction, so as to avoid misclassifying low-yield samples that have not yet entered the effective hydrocarbon generation stage as rich inert low-yield coal, and also to avoid forming static classification results that do not change with maturity based solely on the content of micro-components.

[0028] 3. This method can also distinguish between the experimental direct support region, the restricted extrapolation region, and the invalid component region, thereby improving the clarity of the applicable boundaries of the chart.

[0029] 4. After the model is established, the hydrocarbon production capacity and coal type identification results at different maturity stages can be obtained using only coal micro-components and EasyRo data. It has the advantages of transparent calculation, traceable results, simple operation and low cost, and can provide quantitative basis for deep coalbed methane resource evaluation, exploration target selection and development plan formulation. Attached Figure Description

[0030] Figure 1 This is a flowchart of the present invention; Figure 2 A thermal simulation diagram of the changes in gaseous and liquid hydrocarbons during hydrocarbon generation in a gold tube; Figure 3 The graph shows the measured and fitted relationship between gaseous and liquid hydrocarbons. Figure 4 This is a dynamic identification diagram of coal hydrocarbon generation types under different thermal evolution stages. Detailed Implementation

[0031] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] like Figure 1 As shown, the present invention provides a dynamic identification method for coal-rock hydrocarbon generation types based on microscopic components and thermal simulation yield, which specifically includes the following steps: Step S10: Separate and enrich the microscopic components of low-mature coal and prepare coal samples rich in vitrinite, chrysinite, and inertinite. Step S11: Collect samples to obtain low-mature coal samples from field outcrops; Step S12: Grind the obtained low-maturity coal and rock to obtain a 200-mesh powder sample (sample diameter less than 75μm). Step S13: Soak the powder sample in 3 mol / L hydrochloric acid, then rinse with distilled water. Repeat the above steps 3 to 8 times to completely remove inorganic minerals. Then dry at room temperature to remove moisture from the sample. Step S14: Based on the processed coal sample, separate and enrich three different types of micro-components: vitrinite, chrysinite, and inertinite. The total percentage of the three components is 100%, and prepare vitrinite-rich coal sample, chrysinite-rich coal sample, and inertinite-rich coal sample. Among them, the relative content of vitrinite in vitrinite-rich coal samples is not less than 70%, the relative content of chalcanthite in chalcanthite-rich coal samples is not less than 25%, and the relative content of inertinite in inertinite inertinite-rich coal samples is not less than 20%.

[0033] Step S20: Conduct a thermal simulation experiment of hydrocarbon generation from source rocks under a closed system of gold tube-high pressure autoclave. The experimental heating rate is 2℃ / h, and the following temperatures are set: 336℃ (EasyRo approximately 0.73%), 360℃ (EasyRo approximately 0.86%), 384℃ (EasyRo approximately 1.08%), 408℃ (EasyRo approximately 1.36%), 432℃ (EasyRo approximately 1.69%), 456℃ (EasyRo approximately 2.09%), and 480℃ (EasyRo approximately 2.5%). Experimental data on the yields of gaseous and liquid hydrocarbons were obtained at each thermal simulation temperature point: 504℃ (EasyRo approximately 2.99%), 528℃ (EasyRo approximately 3.46%), 552℃ (EasyRo approximately 3.86%), 576℃ (EasyRo approximately 4.19%), and 600℃ (EasyRo approximately 4.45%). This yielded experimental data on the gaseous and liquid hydrocarbon yields of vitrinite-rich, chrysinite-rich, and inertinite-rich coal samples under different EasyRo values. Step S30: Based on the experimental data of gaseous hydrocarbon yield and liquid hydrocarbon yield under different EasyRo data, the Scheffé mixing model is used to establish the gaseous hydrocarbon and liquid hydrocarbon yield formulas for vitrinite-rich coal samples, chrysogenite-rich coal samples, and inertinite-rich coal samples, respectively. The formula for the yield of gaseous hydrocarbons is:

[0034]

[0035] In the formula: The content of vitrinite, % The content of inert group, % The content of chitinous components, % For EasyRo.

[0036] The formula for the liquid hydrocarbon yield is:

[0037]

[0038] In the formula: The content of vitrinite, % The content of inert group, % The content of chitinous components, % For EasyRo.

[0039] Step S40: Determine the prototypes of vitrinite-rich, inertite-rich, and crust-rich compositions based on vitrinite-rich, crust-rich, and inerite-rich coal samples, respectively. The prototype of vitrinite-rich composition is the average value of the composition vector of vitrinite-rich coal samples, the prototype of inertite-rich composition is the average value of the composition vector of inertite-rich coal samples, and the prototype of crust-rich composition is the average value of the composition vector of crust-rich coal samples. The calculation formula for vitrinite-rich coal is as follows:

[0040] The calculation formula for inert-rich coal is as follows:

[0041] The calculation formula for coal rich in husks is as follows:

[0042] Step S50: Identify the orientation of the rich-inert composition. For the composition point to be identified, calculate its Euclidean distance to the rich-mirror composition prototype, the rich-inert composition prototype, and the rich-shell composition prototype, respectively. , and If it exists Mark the component points to be identified as the direction of rich inert components;

[0043]

[0044]

[0045] Step S60: Establish the composition axis of the rich mirror and the rich shell, and calculate the projected coordinates of the composition points to be identified in the direction from the rich mirror composition prototype to the rich shell composition prototype. ;

[0046] Step S70: Determine the boundaries of the rich mirror zone, the oil and gas co-existing corridor, and the rich crust zone; Calculate the maximum value of the projected coordinates of the experimental vitrinite-rich coal sample and the experimental crust-rich coal sample within the projected coordinates of the vitrinite-rich coal sample. Minimum value in the projected coordinates of the rich crust coal sample Set the first component boundary between them Second component boundary For non-rich inert composition directions, when the projected coordinates of the composition point to be identified are along the direction from the rich mirror composition prototype to the rich shell composition prototype... Not greater than When its basic composition type is determined to be vitreous gaseous coal; when the projection coordinates of the composition point to be identified in the direction from the vitreous composition prototype to the crustal composition prototype... Greater than and less than When its basic composition type is determined to be oil and gas co-generating coal; when the projection coordinates of the composition point to be identified in the direction from the rich mirror composition prototype to the rich crust composition prototype... Not less than At that time, its basic composition type was determined to be oil-rich coal with a rich shell; Step S80: Construct a set of microscopic components to be identified, and filter effective component points according to the preset lower limit of vitrinite, the preset upper limit of inertinite, and the preset upper limit of chitinite. Step S90: Calculate the total hydrocarbon production and maximum hydrocarbon production capacity at the current maturity stage based on the predicted yield of gaseous hydrocarbons and the predicted yield of liquid hydrocarbons; Formula for calculating total hydrocarbon production:

[0047] The formula for calculating maximum hydrocarbon production capacity is:

[0048] In the formula: This represents the maximum hydrocarbon production capacity that this combination of micro-components can achieve throughout the entire thermal evolution range; Step S100: Calculate the degree of hydrocarbon generation achievement based on the total hydrocarbon production and maximum hydrocarbon production capacity at the current maturity stage;

[0049] In the formula: The degree of hydrocarbon generation achieved.

[0050] Step S110: Calculate the proportion of gaseous hydrocarbons and the proportion of liquid hydrocarbons based on the predicted yield of gaseous hydrocarbons and the predicted yield of liquid hydrocarbons at the current maturity stage.

[0051]

[0052] In the formula: , These represent the proportions of gaseous hydrocarbons and liquid hydrocarbons, respectively. Step S120: Set the boundary of the microscopic component triangulation diagram, and finally identify the coal and rock type; After the boundary is set, the coal and rock type is determined based on the identification indicators: when ≥Preset effective hydrocarbon generation threshold and Preset effective gaseous hydrocarbon ratio threshold At that time, the type is determined based on the composition direction of the constituent points to be identified and the projection coordinates of the rich mirror-rich shell.

[0053] For non-rich inert composition directions: when ≤ At that time, it was identified as a high-quality gaseous coal; when < < At that time, it was identified as an oil and gas resource combined with coal; ≥ At that time, it was identified as a rich-shell coal-bearing oil-bearing coal.

[0054] For the direction of rich inert composition but ≥D0 component points: when ≥ At that time, it was identified as a high-quality gaseous coal; when ≥Preset effective liquid hydrocarbon ratio threshold At that time, it was identified as rich-shelled oil-bearing coal; when < and < At that time, it was identified as an oil and gas source with coal production.

[0055] Example 1. Collect samples and conduct kerogen separation and enrichment experiments on low-mature coal samples.

[0056] Samples were collected from the Permian section of the Balougou section in the Ordos Basin, and a total of 5 samples of three types of microstructures were prepared. The experimental data are shown in Table 1.

[0057] Table 1. Experimental results of microscopic components of coal samples.

[0058] 2. A thermal simulation experiment of hydrocarbon generation in gold tubes was conducted on five different configurations of samples. The experimental data are shown in Table 2. Figure 2 .

[0059] Table 2. Experimental results of microscopic components of coal samples.

[0060] 3. Using the Scheffé mixture model and gaseous and liquid hydrocarbon yield data, establish formulas for the yields of gaseous and liquid hydrocarbons under different microscopic component contents; The response equation for gaseous hydrocarbons in the vitrinite group is:

[0061] The response equation for gaseous hydrocarbons in the inert group is:

[0062] The response equation for gaseous hydrocarbons in the chitinous group is:

[0063] After substituting into the mixing model, we can obtain:

[0064] (R) 2 =0.69) The response equation for liquid hydrocarbons in the vitrinite group is:

[0065]

[0066] The response equation for liquid hydrocarbons in the inert group is:

[0067] The response equation for liquid hydrocarbons in the chitinous group is:

[0068] (0.93) After substituting into the mixing model, we can obtain (R 2 =0928) 4. Establish a prototype consisting of rich mirrors, rich inertia, and rich shells; In this embodiment, coal samples A and B are used to determine the prototype of the lenticular composition, coal sample C is used to determine the prototype of the inert composition, and coal samples D and E are used to determine the prototype of the crustal composition.

[0069] The calculated prototype of the vitrinite composition is as follows: =(0.7655, 0.1585, 0.076), the prototype of the inert-rich group is =(0.6700, 0.2230, 0.1070), the prototype of the rich chitinous composition is =(0.6360, 0.0945, 0.2695); 5. Determine the boundaries of the rich mirror zone, the oil and gas co-existing corridor, and the rich crust zone; In this embodiment, based on the four components A, B, D, and E... The position on the axis corresponds to... =0.3771、 =0.6696. This boundary places the oil and gas co-generating coal in the compositional space between vitreous gas-generating coal and crustal oil-generating coal.

[0070] 6. In this embodiment, 5151 complete microscopic component assemblages were generated using a 1% composition step size; assemblages with V≥0.50, I≤0.40, and L≤0.35 were determined as effective composition points, resulting in 1151 effective composition points; the maturity nodes were 0.5%, 0.7%, 1.0%, 1.3%, 2.0%, 2.5%, 3.0%, and 4.0%EasyRo. Therefore, each effective microscopic component assemblage has eight predicted yields of gaseous and liquid hydrocarbons, as shown in Table 3. Figure 3 ; Table 3. Prediction of gaseous and liquid hydrocarbons in coal samples at different stages.

[0071] 7. Calculate the total hydrocarbon production, maximum hydrocarbon production capacity, and degree of hydrocarbon generation realization during the calculation phase; Among them, the effective hydrocarbon generation threshold Take 0.05; 8. Calculate the proportion of gaseous hydrocarbons when EasyRo is 0.5%, 0.7%, 1.0%, 1.3%, 2.0%, 2.5%, 3.0%, and 4.0%. Liquid hydrocarbon ratio .definition When the value is ≥0.65, it is judged as a significant imbalance. ≥0.65 indicates a significant oiliness bias. Calculation results are shown in Table 4: Table 4. Coal sample thermal evolution stages F g and F L Identify data table

[0072] 9. Set the boundaries of the microscopic component triangulation diagram, and finally identify the coal and petrology type. Set the minimum vitrinite content of coal to be no less than 50%, the maximum inertinite content to be no more than 40%, and the maximum pithite content to be no more than 35%.

[0073] The criteria for coal and rock identification are as follows: If <0.05: If it belongs to the rich-inert direction, it is rich-inert low-yield coal; otherwise, it is invalid. ≥0.05 and ≥0.65 indicates vitreous gaseous coal; if ≥0.05, <0.65: If it belongs to the rich-inert direction: according to / It is judged to be either oily or slightly raw; otherwise... ≤ At that time, the coal seam was rich in gas. < < At that time, it was a place where oil and gas were produced along with coal. ≥Q2 indicates rich-shell oil-bearing coal.

[0074] The above description is not intended to limit the present invention in any way. Although the present invention has been disclosed through the above embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention are still within the scope of the present invention.

Claims

1. A method for dynamic identification of coal-rock hydrocarbon generation types based on microscopic components and thermal simulation yield, characterized in that, Includes the following steps: Step S10: Separate and enrich the microscopic components of low-mature coal and prepare coal samples rich in vitrinite, chrysinite, and inertinite. Step S20: Conduct a thermal simulation experiment of hydrocarbon generation from source rocks under the closed system of gold tube-high pressure reactor, and obtain experimental data on gaseous hydrocarbon yield and liquid hydrocarbon yield under different EasyRo data for coal samples rich in vitrinite, rich in crustal material, and rich in inert material. Step S30: Based on the experimental data of gaseous hydrocarbon yield and liquid hydrocarbon yield under different EasyRo data, the Scheffé mixing model is used to establish the gaseous hydrocarbon and liquid hydrocarbon yield formulas for vitrinite-rich coal samples, chrysogenite-rich coal samples, and inertinite-rich coal samples, respectively. Step S40: Determine the prototypes of vitrinite-rich, inertite-rich, and crust-rich compositions based on vitrinite-rich, crust-rich, and inerite-rich coal samples, respectively. Step S50: Identify the orientation of the rich-inert composition. For the composition point to be identified, calculate its Euclidean distance to the rich-mirror composition prototype, the rich-inert composition prototype, and the rich-shell composition prototype, respectively. , and If it exists Mark the component points to be identified as the direction of rich inert components; Step S60: Establish the composition axis of the rich mirror and the rich shell, and calculate the projected coordinates of the composition points to be identified in the direction from the rich mirror composition prototype to the rich shell composition prototype. ; Step S70: Determine the boundaries of the rich mirror zone, the oil and gas co-existing corridor, and the rich crust zone; Step S80: Construct a set of microscopic components to be identified, and filter effective component points according to the preset lower limit of vitrinite, the preset upper limit of inertinite, and the preset upper limit of chitinite. Step S90: Calculate the total hydrocarbon production and maximum hydrocarbon production capacity at the current maturity stage based on the predicted yield of gaseous hydrocarbons and the predicted yield of liquid hydrocarbons; Step S100: Calculate the degree of hydrocarbon generation achievement based on the total hydrocarbon production and maximum hydrocarbon production capacity at the current maturity stage; Step S110: Calculate the proportion of gaseous hydrocarbons and the proportion of liquid hydrocarbons based on the predicted yield of gaseous hydrocarbons and the predicted yield of liquid hydrocarbons at the current maturity stage. Step S120: Set the boundary of the microscopic component triangular diagram, and finally identify the coal and rock type.

2. The method for dynamic identification of coal-rock hydrocarbon generation types based on microscopic components and thermal simulation yield according to claim 1, characterized in that, The specific process of step S10 includes: Step S11: Collect samples to obtain low-mature coal samples from field outcrops; Step S12: Grind the obtained low-maturity coal and rock to obtain a 200-mesh powder sample; Step S13: Soak the powder sample in 3 mol / L hydrochloric acid, then rinse with distilled water. Repeat the above steps 3 to 8 times to completely remove inorganic minerals. Then dry at room temperature to remove moisture from the sample. Step S14: Based on the processed coal sample, separate and enrich three different types of micro-components: vitrinite, chrysinite, and inertinite. The total percentage of the three components is 100%, and prepare vitrinite-rich coal samples, chrysinite-rich coal samples, and inertinite-rich coal samples.

3. The method for dynamic identification of coal-rock hydrocarbon generation types based on microscopic components and thermal simulation yield according to claim 2, characterized in that, The prepared vitrinite-rich coal samples contain a relative vitrinite content of no less than 70%, the chalcanthite-rich coal samples contain a relative chalcanthite content of no less than 25%, and the inertinite-rich coal samples contain a relative inertinite content of no less than 20%.

4. The method for dynamic identification of coal-rock hydrocarbon generation types based on microscopic components and thermal simulation yield according to claim 1, characterized in that, In step S20, the experimental heating rate of the source rock hydrocarbon generation thermal simulation experiment is 2℃ / h, and the temperatures are set at 336℃, 360℃, 384℃, 408℃, 432℃, 456℃, 480℃, 504℃, 528℃, 552℃, 576℃, and 600℃ respectively to obtain experimental data on the yield of gaseous and liquid hydrocarbons at each thermal simulation temperature point.

5. The method for dynamic identification of coal-rock hydrocarbon generation types based on microscopic components and thermal simulation yield according to claim 1, characterized in that, The formula for the yield of gaseous hydrocarbons is: In the formula: The content of vitrinite, % The content of inert group, % The content of chitinous components, % For EasyRo.

6. The method for dynamic identification of coal-rock hydrocarbon generation types based on microscopic components and thermal simulation yield according to claim 1, characterized in that, The formula for the liquid hydrocarbon yield is: In the formula: The content of vitrinite, % The content of inert group, % The content of chitinous components, % For EasyRo.

7. The method for dynamic identification of coal-rock hydrocarbon generation type based on microscopic composition and thermal simulation yield according to claim 1, characterized in that, The specific process of step S70 is as follows: calculate the projected coordinates of the experimental vitrinite-rich coal sample and the experimental crust-rich coal sample respectively, and find the maximum value in the projected coordinates of the vitrinite-rich coal sample. Minimum value in the projected coordinates of the rich crust coal sample Set the first component boundary between them Second component boundary For non-rich inert composition directions, when the projected coordinates of the composition point to be identified are along the direction from the rich mirror composition prototype to the rich shell composition prototype... Not greater than When its basic composition type is determined to be vitreous gaseous coal; when the projection coordinates of the composition point to be identified in the direction from the vitreous composition prototype to the crustal composition prototype... Greater than and less than When its basic composition type is determined to be oil and gas co-generating coal; when the projection coordinates of the composition point to be identified in the direction from the rich mirror composition prototype to the rich crust composition prototype... Not less than At that time, its basic composition type was determined to be oil-rich coal with a rich shell.

8. The method for dynamic identification of coal-rock hydrocarbon generation types based on microscopic components and thermal simulation yield according to claim 1, characterized in that, The formula for calculating the maximum hydrocarbon production capacity is as follows: In the formula: This represents the maximum hydrocarbon production capacity that this combination of microcomponents can achieve throughout the entire thermal evolution range.

9. The method for dynamic identification of coal-rock hydrocarbon generation types based on microscopic components and thermal simulation yield according to claim 1, characterized in that, The formula for calculating the degree of hydrocarbon generation is as follows: In the formula: The degree of hydrocarbon generation achieved.

10. The method for dynamic identification of coal-rock hydrocarbon generation type based on microscopic composition and thermal simulation yield according to claim 1, characterized in that, The formulas for calculating the proportion of gaseous hydrocarbons and the proportion of liquid hydrocarbons are as follows: In the formula: , These represent the proportions of gaseous hydrocarbons and liquid hydrocarbons, respectively.

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