A method and apparatus for predicting paleotemperatures in carbonate formations

Abstract

The embodiment of the present application relates to the technical field of stratum paleotemperature prediction of carbonate rock, and discloses a prediction method and equipment for stratum paleotemperature of carbonate rock, which comprises the following steps: determining the initial time of formation of in-situ carbonate rock mineral in a carbonate rock sample according to the burial history of the stratum where the carbonate rock sample is located and the dating time of the carbonate rock sample; determining the thermal history path of the carbonate rock sample according to the exchange / diffusion model of the stratum, the initial time and the cluster isotope temperature of the carbonate rock sample determined in advance; and predicting the stratum paleotemperature of the carbonate rock sample according to the thermal history path and the thermal history of the carbonate rock sample determined in advance. The present application can accurately predict the stratum paleotemperature of carbonate rock.

Description

Technical Field

[0001] This invention relates to the field of paleotemperature prediction technology, and in particular to a method, apparatus, equipment, medium, and product program for predicting paleotemperature of carbonate rock strata. Background Technology

[0002] In existing technologies, paleotherm scales, commonly used in thermal history evolution, can serve as parameters for organic matter maturity and low-temperature thermochronology. However, for Early Paleozoic carbonate strata, the lack of vitrinite and heavy minerals such as apatite and zircon used in low-temperature thermochronology studies severely restricts the reconstruction of the thermal history of deep carbonate strata, making it difficult to conduct research on the evolution of source rock maturity and key periods of hydrocarbon accumulation. Summary of the Invention

[0003] The purpose of this invention is to provide at least one method and device for predicting the paleotemperature of carbonate rock formations, in order to solve the technical problem in the prior art that it is difficult to reconstruct the thermal history of Early Paleozoic carbonate rock formations.

[0004] To address the aforementioned technical problems, at least one embodiment of this application provides a method for predicting paleotemperature of carbonate rock strata, comprising:

[0005] The initial time of in-situ formation of carbonate minerals in the carbonate rock samples was determined based on the burial history of the strata where the carbonate rock samples were located and the dating time of the carbonate rock samples.

[0006] The thermal history path of the carbonate rock sample is determined based on the exchange / diffusion model of the strata in which it is located, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample.

[0007] The paleotemperature of the carbonate rock sample is predicted based on the thermal history path and the predetermined thermal history of the carbonate rock sample.

[0008] In some embodiments, determining the thermal history path of the carbonate rock sample based on the exchange / diffusion model of the strata in which it is located, the initial time, and a predetermined cluster isotope temperature of the carbonate rock sample includes:

[0009] Based on the exchange / diffusion model, the cluster isotope temperature is simulated in forward modeling according to the initial time until the simulated value of the cluster isotope temperature matches the actual value of the cluster isotope temperature, so as to determine the thermal history path.

[0010] In some embodiments, based on the exchange / diffusion model, the cluster isotope temperature is simulated according to the initial time forward model until the simulated value of the cluster isotope temperature matches the true value of the cluster isotope temperature, including:

[0011] Based on the exchange / diffusion model, the thermal history path in the forward modeling process is continuously adjusted according to the low temperature gradient and burial depth of the stratum, until the simulated value of the cluster isotope temperature matches the true value of the cluster isotope temperature.

[0012] In some embodiments, a method for predicting paleotemperature of carbonate rock strata further includes:

[0013] Cluster isotope paleotemperature tests were performed on the carbonate rock samples to obtain the true values ​​of the cluster isotope temperatures.

[0014] In some embodiments, predicting the paleotemperature of the carbonate rock sample based on the thermal history path and a predetermined thermal history of the carbonate rock sample includes:

[0015] The paleotemperature set of the first stratum was determined based on the described thermal history path;

[0016] The second stratigraphic paleotemperature set is determined based on the thermal history; wherein, the elements of the first stratigraphic paleotemperature set and the elements of the second stratigraphic paleotemperature set are all the stratigraphic paleotemperatures.

[0017] When at least one element of the first stratigraphic paleotemperature set and the second stratigraphic paleotemperature set is equal, the stratigraphic paleotemperature is predicted based on the elements in the first stratigraphic paleotemperature set.

[0018] In some embodiments, the carbonate rock sample is cathodoluminescent and has a calcite content >95%.

[0019] In some embodiments, the step of determining the thermal history includes:

[0020] Obtain zircon samples from the carbonate rock samples;

[0021] The zircon rock sample was subjected to ZHe age testing to determine its thermal history.

[0022] At least one embodiment of this application also provides a device for predicting the paleotemperature of carbonate rock strata, comprising:

[0023] The initial time determination module is used to determine the initial time of in-situ formation of carbonate minerals in the carbonate rock sample based on the burial history of the strata where the carbonate rock sample is located and the dating time of the carbonate rock sample.

[0024] The thermal history path determination module is used to determine the thermal history path of the carbonate rock sample based on the exchange / diffusion model of the stratum in which it is located, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample.

[0025] The stratigraphic paleotemperature prediction module is used to predict the stratigraphic paleotemperature of the carbonate rock sample based on the thermal history path and the pre-determined thermal history of the carbonate rock sample.

[0026] In some embodiments, the thermal history path determination module includes:

[0027] The thermal history path determination unit is used to perform forward modeling of the cluster isotope temperature based on the exchange / diffusion model and the initial time until the simulated value of the cluster isotope temperature matches the actual value of the cluster isotope temperature, thereby determining the thermal history path.

[0028] In some embodiments, the thermal history path determination unit includes:

[0029] The thermal history path adjustment unit is used to continuously adjust the thermal history path in the forward modeling process based on the exchange / diffusion model and according to the low temperature gradient and burial depth of the stratum where the site is located, until the simulated value of the cluster isotope temperature matches the true value of the cluster isotope temperature.

[0030] In some embodiments, a device for predicting paleotemperature of carbonate rock formations further includes:

[0031] The isotope temperature testing module is used to perform cluster isotope paleotemperature testing on the carbonate rock sample to obtain the true value of the cluster isotope temperature.

[0032] In some embodiments, the formation paleotemperature prediction module includes:

[0033] The first stratum paleotemperature set determination module is used to determine the first stratum paleotemperature set based on the thermal history path;

[0034] The second stratigraphic paleotemperature set determination module is used to determine the second stratigraphic paleotemperature set based on the thermal history; wherein, the elements of the first stratigraphic paleotemperature set and the elements of the second stratigraphic paleotemperature set are all stratigraphic paleotemperatures.

[0035] The stratigraphic paleotemperature prediction unit is used to predict the stratigraphic paleotemperature based on the elements in the first stratigraphic paleotemperature set when at least one element in the first stratigraphic paleotemperature set and the second stratigraphic paleotemperature set are equal.

[0036] In some embodiments, the carbonate rock sample is cathodoluminescent and has a calcite content >95%.

[0037] In some embodiments, a device for predicting paleotemperature of carbonate rock formations further includes:

[0038] A thermal history determination module is used to determine the thermal history; the thermal history determination module includes:

[0039] Zircon rock sample acquisition unit, used to acquire zircon rock samples from the carbonate rock sample;

[0040] A thermal history determination unit is used to perform ZHe age testing on the zircon rock sample to determine the thermal history.

[0041] At least one embodiment of this application also provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the above-described method for predicting paleotemperature of carbonate rock formations.

[0042] At least one embodiment of this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for predicting paleotemperatures of carbonate rock formations.

[0043] An embodiment of this application provides a method for predicting the paleotemperature of carbonate rock strata, comprising: first, determining the initial time of in-situ carbonate mineral formation in the carbonate rock sample based on the burial history of the strata where the carbonate rock sample is located and the dating time of the carbonate rock sample; then, determining the thermal history path of the carbonate rock sample based on the exchange / diffusion model of the strata, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample; and finally, predicting the paleotemperature of the carbonate rock sample based on the thermal history path and the pre-determined thermal history of the carbonate rock sample.

[0044] The method for predicting paleotemperature of carbonate rock strata proposed in this invention can accurately predict the paleotemperature of carbonate rock strata. Attached Figure Description

[0045] One or more embodiments are illustrated by way of example with reference to the accompanying drawings, and these illustrative descriptions do not constitute a limitation on the embodiments.

[0046] Figure 1 This is a flowchart illustrating a method for predicting paleotemperature of carbonate rock strata according to an embodiment of this application;

[0047] Figure 2 This is a flowchart illustrating step 200 provided in one embodiment of this application;

[0048] Figure 3 This is a flowchart illustrating step 201 provided in one embodiment of this application;

[0049] Figure 4 This is a flowchart illustrating step 300 provided in one embodiment of this application;

[0050] Figure 5 This is a flowchart illustrating step 400 provided in one embodiment of this application;

[0051] Figure 6 This is a flowchart illustrating a method for predicting paleotemperature of carbonate rock strata provided in a specific embodiment of this application.

[0052] Figure 7 The U-Pb age concordance curves of carbonate rock samples provided in the specific embodiments of this application are as follows. Figure 1 ;

[0053] Figure 8 The U-Pb age concordance curves of carbonate rock samples provided in the specific embodiments of this application are as follows. Figure 2 ;

[0054] Figure 9 This is a single-well burial history map of Well A provided in a specific embodiment of this application;

[0055] Figure 10 This is a single-well burial history map of Well B provided in a specific embodiment of this application;

[0056] Figure 11 This is a schematic diagram of the thermal history simulation results of Well A provided in the specific implementation of this application. Figure 1 (Zircon (U-Th) / He age forward thermal history path);

[0057] Figure 12 This is a schematic diagram of the thermal history simulation results of Well A provided in the specific implementation of this application. Figure 2 (Isotopic forward thermal history path of carbonate rock clusters);

[0058] Figure 13 This is a schematic diagram of the thermal history simulation results of Well A provided in the specific implementation of this application. Figure 3 (Equivalent vitrinite reflectance forward thermal history path);

[0059] Figure 14 This is a schematic diagram of the thermal history simulation results of Well A provided in the specific implementation of this application. Figure 4 (Thermal history results constrained by multiple paleotherm scales);

[0060] Figure 15 This is a schematic diagram of the thermal history simulation results of Well B provided in the specific implementation of this application. Figure 1 (Zircon (U-Th) / He age forward thermal history path);

[0061] Figure 16 This is a schematic diagram of the thermal history simulation results of Well B provided in the specific implementation of this application. Figure 2 (Isotopic forward thermal history path of carbonate rock clusters);

[0062] Figure 17 This is a schematic diagram of the thermal history simulation results of Well B provided in the specific implementation of this application. Figure 3 (Equivalent vitrinite reflectance forward thermal history path);

[0063] Figure 18 This is a schematic diagram of the thermal history simulation results of Well B provided in the specific implementation of this application. Figure 4 (Thermal history results constrained by multiple paleotherm scales);

[0064] Figure 19 This is a schematic diagram of a device for predicting the paleotemperature of carbonate rock formations provided in one embodiment of this application;

[0065] Figure 20 This is a schematic diagram of the structure of an electronic device provided in another embodiment of this application. Detailed Implementation

[0066] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the various embodiments of this application will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details have been provided in the various embodiments of this application to help readers better understand this application. However, the technical solutions claimed in this application can be implemented even without these technical details and various changes and modifications based on the following embodiments. The division of the various embodiments below is for the convenience of description and should not constitute any limitation on the specific implementation of this application. The various embodiments can be combined with and referenced by each other without contradiction.

[0067] Example 1:

[0068] The method for predicting paleotemperature of carbonate rock strata in this embodiment can be applied to electronic devices with communication, computing, and data storage capabilities. The specific process is as follows: Figure 1 As shown, it includes:

[0069] Step 100: Determine the initial time of in-situ formation of carbonate minerals in the carbonate rock sample based on the burial history of the strata where the carbonate rock sample is located and the dating time of the carbonate rock sample;

[0070] Step 200: Determine the thermal history path of the carbonate rock sample based on the exchange / diffusion model of the strata, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample;

[0071] Step 300: Predict the paleotemperature of the carbonate rock sample based on the thermal history path and the predetermined thermal history of the carbonate rock sample.

[0072] An embodiment of this application provides a method for predicting the paleotemperature of carbonate rock strata, comprising: first, determining the initial time of in-situ carbonate mineral formation in the carbonate rock sample based on the burial history of the strata where the carbonate rock sample is located and the dating time of the carbonate rock sample; then, determining the thermal history path of the carbonate rock sample based on the exchange / diffusion model of the strata, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample; and finally, predicting the paleotemperature of the carbonate rock sample based on the thermal history path and the pre-determined thermal history of the carbonate rock sample.

[0073] To address the shortcomings of existing technologies, this invention proposes a method for predicting the paleotherm of carbonate rock strata using multiple paleotherm scales. Under the constraints and verification of zircon (U-Th) / He and equivalent vitrinite reflectance paleotherm scales, this method combines carbonate cluster isotope dating and carbonate U-Pb dating to compensate for the lack of traditional paleotherm scales in carbonate rock strata, providing more reliable thermal information under high-temperature conditions.

[0074] For steps 100 to 300, it is understandable that the study of the thermal history of sedimentary basins is crucial for hydrocarbon accumulation and has a significant impact on oil and gas exploration and resource assessment. The paleothermometer method is the most commonly used method for reconstructing the thermal history of sedimentary basins.

[0075] Carbonate cluster isotope dating is a newly emerging thermometry method in recent years. Previous researchers have used cluster isotope dating and existing solid-state rearrangement kinetic models to conduct pioneering studies on the diagenesis of carbonate rocks, the origin of methane, and the warming and cooling history of sedimentary basins. However, when using cluster isotopes to simulate thermal history, the selection of cluster isotope samples has always been a challenge. Samples that have not undergone recrystallization are required for thermal history studies. Previously, lithofacies observation and cathodoluminescence experiments were generally used, selecting samples that did not emit cathodoluminescence to minimize the influence of recrystallization. However, these methods can only qualitatively determine whether carbonate rocks underwent later diagenetic alteration, but cannot determine the absolute age of carbonate rock formation, leading to uncertainty in the thermal history simulation results. Calcite laser in-situ U-Pb isotope dating is a newly emerging isotope dating technique based on in-situ micro-area analysis in recent years. It offers high testing accuracy and requires only a small number of samples to accurately determine the age of calcite. Therefore, we can try to use the method of combining calcite laser in-situ U-Pb isotope dating with cluster isotope analysis to accurately determine the absolute age of carbonate rock formation and thus accurately reconstruct the thermal history of carbonate rock strata.

[0076] For step 100: The burial history of a stratigraphy refers to the entire process of sediments from deposition to burial, compaction, and diagenesis in geological history. The study of the burial history of stratigraphy is used to understand changes in the stratigraphic environment, tectonic movements, and the development of sedimentary basins. The following are some key aspects of the burial history of stratigraphy:

[0077] Sedimentary environments include both marine and terrestrial environments. Marine environments include continental shelves, slopes, and deep-sea basins. Sediments in these environments can undergo slow depositional processes. Terrestrial environments include rivers, lakes, deserts, and glaciers. Sediments in these environments typically deposit more rapidly.

[0078] Sources and types of sediments: Clastic sediments: formed by weathering and erosion, such as sand, mud, and gravel. Chemical sediments: formed by the precipitation of dissolved substances, such as limestone and salt rock. Biological sediments: produced by biological activity, such as the organic matter deposits that are precursors to coal and oil.

[0079] Diagenesis: Compaction: Sediments are compressed under gravity, reducing pore space. Cementation: Minerals (such as calcite and quartz) precipitate between sediment grains, cementing them into solid rock. Recrystallization: Under high pressure and high temperature, mineral crystals rearrange or form new minerals.

[0080] Tectonic movements: Folding: Sedimentary layers are compressed during crustal movements, forming wavy structures. Faulting: Rock strata fracture and undergo relative displacement along the fault plane. Uplift and subsidence: Crustal movements cause strata to rise or fall, affecting the depositional environment and burial depth.

[0081] Thermal evolution: Geothermal gradient: Temperature increases with depth, affecting diagenesis and organic matter maturity in sediments. Organic matter transformation: Organic matter is transformed into energy resources such as oil and gas under high temperature and pressure.

[0082] In-situ carbonate minerals refer to carbonate minerals that formed directly in the sedimentary environment during the formation of carbonate rocks and remained in situ without being transported or metamorphosed. Carbonate minerals are typically formed by the combination of carbonate ions (CO32-) with metal ions such as calcium, magnesium, and iron. In-situ carbonate minerals include calcite. and dolomite

[0083] For step 200, the exchange / diffusion model is primarily used to describe the heat conduction, convection, and diffusion processes within the formation. It is used to understand the distribution of subsurface temperature and how heat propagates between different formations. Specifically, the exchange / diffusion models include the following:

[0084] Heat conduction model (Fourier's heat conduction equation): In geological formations, heat propagation is primarily through heat conduction, which follows Fourier's law. Its mathematical expression is as follows:

[0085]

[0086] Where: T is temperature; α is the thermal diffusivity, which is related to the thermal conductivity, density, and specific heat capacity of the formation; It is the Laplace operator for temperature, representing the temperature gradient.

[0087] In this model, heat propagation is driven by the temperature gradient. The larger the thermal diffusivity α, the faster the heat propagates.

[0088] Thermal convection-diffusion model: When fluids (such as groundwater, oil, and gas) flow in a formation, heat propagation is influenced not only by conduction but also by convection. The thermal convection-diffusion model combines the processes of conduction and convection to describe heat exchange in fluids such as groundwater or oil and gas. The mathematical expression is:

[0089]

[0090] in: It represents the fluid velocity field, indicating the convection of heat; k is the thermal conductivity. This is the heat conduction term. The convection term plays a dominant role in strata with strong fluid movement, such as in groundwater flow, where heat is transferred through the convection process of the fluid.

[0091] Thermal diffusion and reaction model: In some special geological environments, heat transfer is influenced not only by convection and heat conduction, but also by chemical reactions (such as pyrolysis or thermodynamic equilibrium) or biological processes. For example, in oil and gas exploration, pyrolysis may release heat under high-temperature conditions, thus affecting the temperature distribution. The expression of this model can integrate heat conduction, convection, and reaction processes:

[0092]

[0093] Where Q(T) is the heat source term of the reaction, representing the heat released or absorbed by a chemical reaction or biological process.

[0094] Geothermal temperature gradient models show that the temperature in the Earth's strata typically increases with depth, and this temperature gradient is a key characteristic of geothermal flow. Geothermal flow is represented by the following equation:

[0095]

[0096] Where: q is heat flux density (heat flow per unit area per unit time); k is thermal conductivity; It refers to the temperature gradient. Furthermore, in geothermal exploration, temperature gradient models can be used to estimate underground heat flow and further infer the distribution of geothermal resources.

[0097] Subsurface temperature variation and time model: Formation temperature is not only related to spatial location but also varies over time. For long-term temperature variations, especially considering heat transfer processes in geological history, it is usually necessary to solve the time dependence of the heat diffusion equation.

[0098] Under steady-state conditions, the temperature field reaches equilibrium and no longer changes with time. However, under unsteady-state conditions, the temperature adjusts over time until a new equilibrium is reached. The unsteady-state heat conduction equation is:

[0099]

[0100] Where: ρ is the formation density; c p It represents specific heat capacity; the other symbols are the same as those mentioned above.

[0101] Regarding step 300, a series of paleotemperatures can be determined through the thermal history path in step 200. When at least one of these paleotemperatures is the same as the paleotemperature determined by the thermal history, then this series of paleotemperatures can be used as the paleotemperatures of the carbonate rock sample. That is, step 300 combines the cluster isotope method with the low-temperature thermochronology method to jointly constrain the paleotemperatures of the carbonate rock strata.

[0102] Example 2:

[0103] In some examples, see Figure 2 Step 200 includes:

[0104] Step 201: Based on the exchange / diffusion model, perform forward modeling of the cluster isotope temperature according to the initial time until the simulated value of the cluster isotope temperature matches the actual value of the cluster isotope temperature, so as to determine the thermal history path.

[0105] Specifically, using an exchange / diffusion model, the temperature of cluster isotopes is simulated in forward modeling. By continuously adjusting the thermal history path, the simulated value of the cluster isotope temperature matches the measured value, thus obtaining the true thermal history path.

[0106] In some examples, see Figure 3 Step 201 includes:

[0107] Step 2011: Based on the exchange / diffusion model, continuously adjust the thermal history path in the forward modeling process according to the low temperature gradient and burial depth of the stratum where the site is located, until the simulated value of the cluster isotope temperature matches the true value of the cluster isotope temperature.

[0108] Specifically, when conducting forward modeling of formation thermal properties, it is necessary to analyze the influence of different factors (such as formation depth, thermal conductivity, heat flow, etc.) on the thermal field distribution. In particular, the simulation should consider the following factors:

[0109] Initial temperature distribution: It is usually assumed that the surface temperature is a known value, and the temperature increases with depth at a certain gradient. The low temperature gradient is generally small, which will directly affect the heat accumulation and diffusion process in the deep underground layers.

[0110] Heat flow and thermal conductivity: The heat flow and thermal conductivity (i.e., thermal conductivity coefficient) of a formation vary with geological characteristics (such as rock type, porosity, water saturation, etc.), affecting heat propagation. A low-temperature gradient means a lower heat flow, which may result in slower temperature changes in shallower burial areas.

[0111] To reflect thermal evolution under different burial depths and temperature gradients, the forward modeling process needs to adjust the thermal history path according to different formation characteristics and thermal gradient conditions. The specific steps are as follows:

[0112] Initial conditions should be set based on known formation temperatures and low-temperature gradients. In shallow regions, temperatures rise more slowly, so initial heat distribution needs to be set based on surface temperature and low-temperature gradients (typically shallow climate or surface temperature). Heat flux density typically changes with depth. In simulations, heat flux density needs to be adjusted layer by layer, considering the dynamic process of heat transfer from deeper to shallower layers. Heat flux values ​​for different depths can be set based on actual measurements or empirical values. Formation thermal conductivity may vary with the composition of different rock layers. Variations in thermal conductivity at different burial depths affect the way heat diffuses. Adjustments should be made based on the geological characteristics of each layer (e.g., rock type, water saturation, etc.).

[0113] In forward modeling, the thermal history path is updated iteratively. The temperature of each layer is affected not only by depth but also by its interaction with the heat conduction and convection of surrounding layers. As the simulation progresses, the temperature field changes gradually, requiring real-time adjustments to the simulation path.

[0114] The numerical models required for forward modeling include: Finite Difference Method (FDM): By discretizing time and space, the heat conduction and convection processes are transformed into difference equations for numerical solution. Finite Element Method (FEM): Suitable for simulating complex geological structures, it can more flexibly handle heterogeneous strata and complex boundary conditions. Finite Volume Method (FVM): Commonly used to handle heat convection and diffusion problems, especially suitable for large-scale underground heat exchange problems.

[0115] In some examples, a method for predicting paleotemperature in carbonate strata also includes:

[0116] Cluster isotope paleotemperature tests were performed on the carbonate rock samples to obtain the true values ​​of the cluster isotope temperatures.

[0117] Specifically, U-Pb dating tests were performed on the selected carbonate rock samples to determine the initial time of in-situ carbonate rock mineral formation based on the stratigraphic burial history.

[0118] U-Pb dating of carbonate rocks is a geological technique that uses the isotopic system of uranium (U) and lead (Pb) to determine the age of carbonate rock samples.

[0119] U-Pb dating is based on the decay of uranium isotopes into lead isotopes, and the absolute age of rocks or minerals is calculated using isotope ratios. This process involves a fixed decay rate, and the isotopes of uranium and lead are stable over geological timescales.

[0120] Due to their chemical properties, carbonate rocks typically do not contain commonly dated minerals such as zircon and feldspar, while uranium minerals (such as uranium phosphate and uranium peroxide) may be present in carbonate rocks. Therefore, U-Pb dating can be used to obtain information about the age of sedimentation or metamorphism in these rocks. The specific process includes:

[0121] Sample Collection and Preparation: When collecting carbonate rock samples, it is necessary to select representative samples and avoid samples that have undergone secondary alterations (such as weathering or contamination). Sample preparation typically includes crushing, grinding, sieving, and selecting suitable uranium or carbonate minerals for analysis.

[0122] Next, isotope analysis is performed on the sample, using laser ablation mass spectrometry (LA-ICP-MS) or TIMS (thermal ionization mass spectrometry). Laser ablation excites the uranium minerals in the sample into a gaseous state, which is then sent to a mass spectrometer for isotope analysis. Thermal ionization mass spectrometry separates and measures uranium and lead isotopes in the dissolved sample, making it suitable for high-precision dating.

[0123] In some examples, see Figure 4 Step 300 includes:

[0124] Step 301: Determine the paleotemperature set of the first stratum based on the thermal history path;

[0125] Step 302: Determine the second stratigraphic paleotemperature set based on the thermal history; wherein, the elements of the first stratigraphic paleotemperature set and the elements of the second stratigraphic paleotemperature set are all the stratigraphic paleotemperatures;

[0126] Step 303: When at least one element of the first stratigraphic paleotemperature set and the second stratigraphic paleotemperature set is equal, predict the stratigraphic paleotemperature based on the elements in the first stratigraphic paleotemperature set.

[0127] Steps 301 to 303, under the constraints and verification of zircon (U-Th) / He and equivalent vitrinite reflectance paleotherm, combined with carbonate cluster isotope and carbonate U-Pb dating methods, make up for the lack of traditional paleotherm in carbonate strata, provide more reliable thermal information under high temperature conditions, and offer a more accurate new approach for reconstructing the thermal history of ultra-deep and ancient strata.

[0128] In some examples, the carbonate rock samples exhibited cathodoluminescence and had a calcite content >95%.

[0129] Based on the core data of the carbonate rock samples, lithofacies observation, cathodoluminescence, and XRD analysis can be used to determine whether the carbonate rock samples meet the above requirements.

[0130] Cathodoluminescence is a technique that uses an electron beam to excite light from a material. When a sample is exposed to an electron beam in a scanning electron microscope (SEM), electrons inside the rock sample are excited and release energy, which is emitted as light. Based on the wavelength and intensity of the emitted light, information about the rock sample's microstructure, mineral composition, crystal defects, and other characteristics can be obtained.

[0131] Cathodoluminescence (CL) can help analyze the growth process of mineral crystals, identify different mineral compositions, and understand the formation history of minerals. For example, CL is often used to study the crystal structure and growth characteristics of carbonate minerals, quartz, feldspar, etc. By observing the intensity and color difference of cathodoluminescence, the type of defects and degree of metamorphism in minerals can be inferred. Cathodoluminescence technology can be used to analyze the sedimentary environment of minerals or rocks and understand the evolution process of minerals under different conditions.

[0132] XRD analysis studies the crystal structure, mineral composition, and other physical properties of a sample by irradiating it with X-rays and measuring the resulting diffraction patterns. X-rays interact with the atomic arrangement of the sample, producing specific diffraction patterns, which XRD can use to determine the crystal structure of a substance.

[0133] XRD is used for qualitative and quantitative analysis of minerals, determining the crystal structure and composition of rock and mineral samples. XRD can identify the types of minerals present in a sample, and it has important applications, particularly in geology and mineral resource exploration. XRD can effectively assess the crystallinity of a sample and analyze the crystallization process and metamorphism of minerals. XRD can not only identify mineral types but also perform quantitative analysis of minerals through peak intensities.

[0134] In some examples, see Figure 5 The steps for determining the thermal history include:

[0135] Step 401: Obtain zircon samples from the carbonate rock sample; and

[0136] Step 402: Perform ZHe age testing on the zircon rock sample to determine the thermal history.

[0137] In steps 401 and 402, sporadic marine clastic rock samples are selected to obtain zircon minerals for ZHe age testing, and the ZHe age is used to simulate the thermal history.

[0138] Zircon Helium Dating is a method based on zircon (zircon, ZHe dating is a method for determining the cooling history and age of rocks or minerals by the release of helium isotopes from the atmosphere. ZHe dating is a thermoluminescent dating method used for thermoluminescent analysis of zircon samples, particularly in geology to study the timescales of cooling processes, tectonic activity, and surface processes in rocks and minerals.

[0139] ZHe testing estimates the age of a zircon sample by measuring the accumulation and release of helium isotopes produced by the radioactive decay of uranium (U) and thorium (Th) within the sample. Zircon crystals, due to their chemical stability, typically retain helium after thermal events in the rock, such as metamorphism or melting.

[0140] Decay process: The radioactive decay of uranium and thorium produces helium, which can be trapped in the structure of zircon crystals.

[0141] Release process: Helium can be released and its concentration determined by heating a zircon sample. The amount of helium released and the release rate at a given temperature are related to the cooling history of the sample, reflecting the cooling age of the mineral.

[0142] The steps for the ZHe age test are as follows:

[0143] Sample collection and preparation: First, collect rock samples containing zircon and separate the zircon from them (preferably using heavy liquid separation or magnetic separation).

[0144] Heating experiment: The isolated zircon sample was heated, releasing helium gas under high temperature conditions. The helium release rate was correlated with the cooling history of the zircon crystals.

[0145] Helium determination: The amount of helium released from the sample is determined by mass spectrometry (e.g., mass spectrometry or laser spectrometry), and its isotope ratio is calculated.

[0146] Age calculation: Based on the helium release pattern and combined with the thermal diffusion model of the mineral (usually using FissionTrack or the classic thermoluminescence model), the cooling age of the sample, i.e., the ZHe age, is calculated.

[0147] An embodiment of this application provides a method for predicting the paleotemperature of carbonate rock strata, comprising: first, determining the initial time of in-situ carbonate mineral formation in the carbonate rock sample based on the burial history of the strata where the carbonate rock sample is located and the dating time of the carbonate rock sample; then, determining the thermal history path of the carbonate rock sample based on the exchange / diffusion model of the strata, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample; and finally, predicting the paleotemperature of the carbonate rock sample based on the thermal history path and the pre-determined thermal history of the carbonate rock sample.

[0148] Specifically, based on core data, through lithofacies observation, cathodoluminescence, and XRD analysis, carbonate samples (mainly microcrystals) with cathodoluminescence and calcite content >95% were selected for cluster isotope paleotherm testing to obtain the cluster isotope temperature T. Δ47 Secondly, U-Pb dating of carbonate rocks was performed on the selected cluster isotope samples to determine the initial time of in-situ carbonate mineral formation based on the stratigraphic burial history. Thirdly, the exchange / diffusion model was used to forward simulate the cluster isotope temperature T. Δ47 By continuously adjusting the thermal history path until T Δ47 The simulated values ​​were matched with the measured values ​​to obtain the true thermal history path. Then, sporadic marine clastic rock samples were selected to obtain zircon minerals for ZnH age testing, and the ZnH age was used to simulate the thermal history. Finally, the cluster isotope method and low-temperature thermochronology method were combined to jointly constrain the paleotemperature of carbonate strata. Under the constraints and verification of zircon (U-Th) / He and equivalent vitrinite reflectance paleotherm scales, this invention, by combining carbonate cluster isotope and U-Pb dating methods, compensates for the lack of traditional paleotherm scales in carbonate strata, provides more reliable thermal information under high-temperature conditions, and offers a more accurate new approach for reconstructing the thermal history of ultra-deep and ancient strata.

[0149] Example 3:

[0150] For further explanation of the plan, see Figure 6 The present invention also takes the Ordovician carbonate rock strata in a certain oilfield block in the Tarim Basin as an example to provide a specific implementation method for predicting the paleotemperature of carbonate rock strata, which specifically includes the following contents.

[0151] The present invention provides a method for predicting the paleotemperature of carbonate rock strata, which aims to solve the problem that commonly used paleotherm scales cannot accurately predict the paleotemperature of carbonate rock strata.

[0152] S1: Based on core data, through lithofacies observation, cathodoluminescence, and XRD analysis, carbonate samples (mainly microcrystals) with cathodoluminescence and calcite content >95% were selected for cluster isotope paleotherm testing to obtain cluster isotope temperatures T.Δ47 ;

[0153] See Table 1, which shows the cluster isotope temperatures obtained in the examples.

[0154] Table 1. Cluster isotope temperatures obtained in the examples.

[0155]

[0156] S2: U-Pb dating of carbonate rocks was performed on the selected cluster isotope samples to determine the initial time of in-situ carbonate mineral formation based on the stratigraphic burial history.

[0157] Figure 7 as well as Figure 8 This is a concordance curve of U-Pb age for a carbonate rock sample. Figure 9 as well as Figure 10 A map showing the history of single-well burial.

[0158] S3: Using an exchange / diffusion model, forward modeling is used to simulate the cluster isotope temperature T. Δ47 By continuously adjusting the thermal history path until the simulated value of TA47 matches the measured value, the true thermal history path is obtained.

[0159] S4: Select sporadic marine clastic rock samples, obtain zircon minerals for ZHe age testing, and use ZHe ages to simulate thermal history.

[0160] Table 2 shows the zircon (U-Th) / He age test results in the examples.

[0161] Table 2. Zircon (U-Th) / He age test results in the examples.

[0162]

[0163] S5: Combining cluster isotope methods with low-temperature thermochronology methods to jointly constrain paleotemperature of carbonate strata.

[0164] Figure 11 , Figure 12 , Figure 13 as well as Figure 14 This is to integrate the thermal history simulation results of Well A under multiple paleotherm scale constraints. Figure 15 , Figure 16 , Figure 17 as well as Figure 18 This is to integrate the thermal history simulation results of Well B under multiple paleotherm scale constraints.

[0165] The specific embodiments of this application provide a method for predicting the paleotemperature of carbonate rock strata, comprising: first, determining the initial time of in-situ carbonate mineral formation in the carbonate rock sample based on the burial history of the strata where the carbonate rock sample is located and the dating time of the carbonate rock sample; then, determining the thermal history path of the carbonate rock sample based on the exchange / diffusion model of the strata, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample; finally, predicting the paleotemperature of the carbonate rock sample based on the thermal history path and the pre-determined thermal history of the carbonate rock sample.

[0166] Specifically, based on core data, through lithofacies observation, cathodoluminescence, and XRD analysis, carbonate samples (mainly microcrystals) with cathodoluminescence and calcite content >95% were selected for cluster isotope paleotherm testing to obtain the cluster isotope temperature T. Δ47 Secondly, U-Pb dating of carbonate rocks was performed on the selected cluster isotope samples to determine the initial time of in-situ carbonate mineral formation based on the stratigraphic burial history. Thirdly, the exchange / diffusion model was used to forward simulate the cluster isotope temperature T. Δ47 By continuously adjusting the thermal history path until T Δ47 The simulated values ​​were matched with the measured values ​​to obtain the true thermal history path. Then, sporadic marine clastic rock samples were selected to obtain zircon minerals for ZHe age testing, and the thermal history was simulated using the ZHe age. Finally, the cluster isotope method and the low-temperature thermochronology method were combined to jointly constrain the paleotemperature of carbonate rock strata.

[0167] In summary, under the constraints and verification of zircon (U-Th) / He and equivalent vitrinite reflectance paleotherm scales, this invention, by combining carbonate cluster isotope dating and carbonate U-Pb dating methods, compensates for the lack of traditional paleotherm scales in carbonate strata, provides more reliable thermal information under high-temperature conditions, and offers a more accurate new approach for reconstructing the thermal history of ultra-deep and ancient strata.

[0168] Example 4:

[0169] Another embodiment of this application relates to a device for predicting the paleotemperature of carbonate rock strata. The implementation details of this device are described below. The following details are for ease of understanding and are not essential for implementing this solution. A schematic diagram of the device for predicting the paleotemperature of carbonate rock strata in this embodiment can be seen as follows: Figure 19 As shown, there are three modules: initial time determination module 801, thermal history path determination module 802, and stratigraphic paleotemperature prediction module 803.

[0170] The initial time determination module 801 is used to determine the initial time of in-situ formation of carbonate minerals in the carbonate rock sample based on the burial history of the strata where the carbonate rock sample is located and the dating time of the carbonate rock sample.

[0171] The thermal history path determination module 802 is used to determine the thermal history path of the carbonate rock sample based on the exchange / diffusion model of the stratum where it is located, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample.

[0172] The stratigraphic paleotemperature prediction module 803 is used to predict the stratigraphic paleotemperature of the carbonate rock sample based on the thermal history path and the pre-determined thermal history of the carbonate rock sample.

[0173] In some embodiments, the thermal history path determination module 802 includes:

[0174] The thermal history path determination unit is used to perform forward modeling of the cluster isotope temperature based on the exchange / diffusion model and the initial time until the simulated value of the cluster isotope temperature matches the actual value of the cluster isotope temperature, thereby determining the thermal history path.

[0175] In some embodiments, the thermal history path determination unit includes:

[0176] The thermal history path adjustment unit is used to continuously adjust the thermal history path in the forward modeling process based on the exchange / diffusion model and according to the low temperature gradient and burial depth of the stratum where the site is located, until the simulated value of the cluster isotope temperature matches the true value of the cluster isotope temperature.

[0177] In some embodiments, a device for predicting paleotemperature of carbonate rock formations further includes:

[0178] The isotope temperature testing module is used to perform cluster isotope paleotemperature testing on the carbonate rock sample to obtain the true value of the cluster isotope temperature.

[0179] In some embodiments, the formation paleotemperature prediction module 803 includes:

[0180] The first stratum paleotemperature set determination module is used to determine the first stratum paleotemperature set based on the thermal history path;

[0181] The second stratigraphic paleotemperature set determination module is used to determine the second stratigraphic paleotemperature set based on the thermal history; wherein, the elements of the first stratigraphic paleotemperature set and the elements of the second stratigraphic paleotemperature set are all stratigraphic paleotemperatures.

[0182] The stratigraphic paleotemperature prediction unit is used to predict the stratigraphic paleotemperature based on the elements in the first stratigraphic paleotemperature set when at least one element in the first stratigraphic paleotemperature set and the second stratigraphic paleotemperature set are equal.

[0183] In some embodiments, the carbonate rock sample is cathodoluminescent and has a calcite content >95%.

[0184] In some embodiments, a device for predicting paleotemperature of carbonate rock formations further includes:

[0185] A thermal history determination module is used to determine the thermal history; the thermal history determination module includes:

[0186] Zircon rock sample acquisition unit, used to acquire zircon rock samples from the carbonate rock sample;

[0187] A thermal history determination unit is used to perform ZHe age testing on the zircon rock sample to determine the thermal history.

[0188] An embodiment of this application provides a device for predicting the paleotemperature of carbonate rock strata, comprising: an initial time determination module for determining the initial time of in-situ formation of carbonate minerals in the carbonate rock sample based on the burial history of the strata where the carbonate rock sample is located and the dating time of the carbonate rock sample; a thermal history path determination module for determining the thermal history path of the carbonate rock sample based on the exchange / diffusion model of the strata, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample; and a stratigraphic paleotemperature prediction module for predicting the paleotemperature of the carbonate rock sample based on the thermal history path and the pre-determined thermal history of the carbonate rock sample.

[0189] Specifically, based on core data, through lithofacies observation, cathodoluminescence, and XRD analysis, carbonate samples (mainly microcrystals) with cathodoluminescence and calcite content >95% were selected for cluster isotope paleotherm testing to obtain the cluster isotope temperature T. Δ47 Secondly, U-Pb dating of carbonate rocks was performed on the selected cluster isotope samples to determine the initial time of in-situ carbonate mineral formation based on the stratigraphic burial history. Thirdly, the exchange / diffusion model was used to forward simulate the cluster isotope temperature T. Δ47 By continuously adjusting the thermal history path until T Δ47 The simulated values ​​were matched with the measured values ​​to obtain the true thermal history path. Then, sporadic marine clastic rock samples were selected to obtain zircon minerals for ZHe age testing, and the thermal history was simulated using the ZHe age. Finally, the cluster isotope method and the low-temperature thermochronology method were combined to jointly constrain the paleotemperature of carbonate rock strata.

[0190] In summary, under the constraints and verification of zircon (U-Th) / He and equivalent vitrinite reflectance paleotherm scales, this invention, by combining carbonate cluster isotope dating and carbonate U-Pb dating methods, compensates for the lack of traditional paleotherm scales in carbonate strata, provides more reliable thermal information under high-temperature conditions, and offers a more accurate new approach for reconstructing the thermal history of ultra-deep and ancient strata.

[0191] It is worth mentioning that all modules involved in this embodiment are logical modules. In practical applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. Furthermore, to highlight the innovative aspects of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed in this application; however, this does not mean that other units are absent in this embodiment.

[0192] Example 5:

[0193] Another embodiment of this application relates to an electronic device, such as... Figure 20 As shown, the electronic device specifically includes the following:

[0194] Processor 1201, memory 1202, communications interface 1203, and bus 1204;

[0195] The processor 1201, memory 1202, and communication interface 1203 communicate with each other via bus 1204; the communication interface 1203 is used to realize information transmission between server-side devices and user-side devices and other related devices.

[0196] The processor 1201 is used to call the computer program in the memory 1202. When the processor executes the computer program, it implements all the steps in the method for predicting the paleotemperature of carbonate rock strata in the above embodiments. For example, when the processor executes the computer program, it implements the following steps:

[0197] The initial time of in-situ formation of carbonate minerals in the carbonate rock samples was determined based on the burial history of the strata where the carbonate rock samples were located and the dating time of the carbonate rock samples.

[0198] The thermal history path of the carbonate rock sample is determined based on the exchange / diffusion model of the strata in which it is located, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample.

[0199] The paleotemperature of the carbonate rock sample is predicted based on the thermal history path and the predetermined thermal history of the carbonate rock sample.

[0200] In some embodiments, determining the thermal history path of the carbonate rock sample based on the exchange / diffusion model of the strata in which it is located, the initial time, and a predetermined cluster isotope temperature of the carbonate rock sample includes:

[0201] Based on the exchange / diffusion model, the cluster isotope temperature is simulated in forward modeling according to the initial time until the simulated value of the cluster isotope temperature matches the actual value of the cluster isotope temperature, so as to determine the thermal history path.

[0202] In some embodiments, based on the exchange / diffusion model, the cluster isotope temperature is simulated according to the initial time forward model until the simulated value of the cluster isotope temperature matches the true value of the cluster isotope temperature, including:

[0203] Based on the exchange / diffusion model, the thermal history path in the forward modeling process is continuously adjusted according to the low temperature gradient and burial depth of the stratum, until the simulated value of the cluster isotope temperature matches the true value of the cluster isotope temperature.

[0204] In some embodiments, a method for predicting paleotemperature of carbonate rock strata further includes:

[0205] Cluster isotope paleotemperature tests were performed on the carbonate rock samples to obtain the true values ​​of the cluster isotope temperatures.

[0206] In some embodiments, predicting the paleotemperature of the carbonate rock sample based on the thermal history path and a predetermined thermal history of the carbonate rock sample includes:

[0207] The paleotemperature set of the first stratum was determined based on the described thermal history path;

[0208] The second stratigraphic paleotemperature set is determined based on the thermal history; wherein, the elements of the first stratigraphic paleotemperature set and the elements of the second stratigraphic paleotemperature set are all the stratigraphic paleotemperatures.

[0209] When at least one element of the first stratigraphic paleotemperature set and the second stratigraphic paleotemperature set is equal, the stratigraphic paleotemperature is predicted based on the elements in the first stratigraphic paleotemperature set.

[0210] In some embodiments, the carbonate rock sample is cathodoluminescent and has a calcite content >95%.

[0211] In some embodiments, the step of determining the thermal history includes:

[0212] Obtain zircon samples from the carbonate rock samples;

[0213] The zircon rock sample was subjected to ZHe age testing to determine its thermal history.

[0214] The memory and processor are connected via a bus, which can include any number of interconnecting buses and bridges, connecting various circuits of one or more processors and memories. The bus can also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and will not be described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by the processor is transmitted over the wireless medium via an antenna, which further receives data and transmits it to the processor.

[0215] The processor manages the bus and general processing, and also provides various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory is used to store data used by the processor during operation.

[0216] Example 6:

[0217] Another embodiment of this application relates to a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the steps in the above-described embodiment of the method for predicting paleotemperatures of carbonate strata, the steps including:

[0218] The initial time of in-situ formation of carbonate minerals in the carbonate rock samples was determined based on the burial history of the strata where the carbonate rock samples were located and the dating time of the carbonate rock samples.

[0219] The thermal history path of the carbonate rock sample is determined based on the exchange / diffusion model of the strata in which it is located, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample.

[0220] The paleotemperature of the carbonate rock sample is predicted based on the thermal history path and the predetermined thermal history of the carbonate rock sample.

[0221] In some embodiments, determining the thermal history path of the carbonate rock sample based on the exchange / diffusion model of the strata in which it is located, the initial time, and a predetermined cluster isotope temperature of the carbonate rock sample includes:

[0222] Based on the exchange / diffusion model, the cluster isotope temperature is simulated in forward modeling according to the initial time until the simulated value of the cluster isotope temperature matches the actual value of the cluster isotope temperature, so as to determine the thermal history path.

[0223] In some embodiments, based on the exchange / diffusion model, the cluster isotope temperature is simulated according to the initial time forward model until the simulated value of the cluster isotope temperature matches the true value of the cluster isotope temperature, including:

[0224] Based on the exchange / diffusion model, the thermal history path in the forward modeling process is continuously adjusted according to the low temperature gradient and burial depth of the stratum, until the simulated value of the cluster isotope temperature matches the true value of the cluster isotope temperature.

[0225] In some embodiments, a method for predicting paleotemperature of carbonate rock strata further includes:

[0226] Cluster isotope paleotemperature tests were performed on the carbonate rock samples to obtain the true values ​​of the cluster isotope temperatures.

[0227] In some embodiments, predicting the paleotemperature of the carbonate rock sample based on the thermal history path and a predetermined thermal history of the carbonate rock sample includes:

[0228] The paleotemperature set of the first stratum was determined based on the described thermal history path;

[0229] The second stratigraphic paleotemperature set is determined based on the thermal history; wherein, the elements of the first stratigraphic paleotemperature set and the elements of the second stratigraphic paleotemperature set are all the stratigraphic paleotemperatures.

[0230] When at least one element of the first stratigraphic paleotemperature set and the second stratigraphic paleotemperature set is equal, the stratigraphic paleotemperature is predicted based on the elements in the first stratigraphic paleotemperature set.

[0231] In some embodiments, the carbonate rock sample is cathodoluminescent and has a calcite content >95%.

[0232] In some embodiments, the step of determining the thermal history includes:

[0233] Obtain zircon samples from the carbonate rock samples;

[0234] The zircon rock sample was subjected to ZHe age testing to determine its thermal history.

[0235] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on its differences from other embodiments. In particular, hardware + program embodiments are relatively simple in description because they are fundamentally similar to method embodiments; relevant parts can be referred to the descriptions in the method embodiments.

[0236] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0237] While this application provides method operation steps as shown in the embodiments or flowcharts, more or fewer operation steps may be included based on conventional or non-inventive labor. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only execution order. In actual device or client product execution, the method can be executed sequentially as shown in the embodiments or drawings, or in parallel (e.g., in a parallel processor or multi-threaded processing environment).

[0238] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. 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 illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0239] 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.

[0240] 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.

[0241] Specific embodiments have been used to illustrate the principles and implementation methods of this invention. The descriptions of the embodiments above are only for the purpose of helping to understand the method and core ideas of this invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this invention. Therefore, the content of this specification should not be construed as a limitation of this invention.

Claims

1. A method for predicting paleotemperature of carbonate rock strata, characterized in that, include: The initial time of in-situ formation of carbonate minerals in the carbonate rock samples was determined based on the burial history of the strata where the carbonate rock samples were located and the dating time of the carbonate rock samples. The thermal history path of the carbonate rock sample is determined based on the exchange / diffusion model of the strata in which it is located, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample. The paleotemperature of the carbonate rock sample is predicted based on the thermal history path and the predetermined thermal history of the carbonate rock sample.

2. The prediction method according to claim 1, characterized in that, The thermal history path of the carbonate rock sample is determined based on the exchange / diffusion model of the strata in which it is located, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample, including: Based on the exchange / diffusion model, the cluster isotope temperature is simulated in forward modeling according to the initial time until the simulated value of the cluster isotope temperature matches the actual value of the cluster isotope temperature, so as to determine the thermal history path.

3. The prediction method according to claim 2, characterized in that, Based on the exchange / diffusion model, the cluster isotope temperature is simulated using forward modeling according to the initial time until the simulated value of the cluster isotope temperature matches the true value of the cluster isotope temperature, including: Based on the exchange / diffusion model, the thermal history path in the forward modeling process is continuously adjusted according to the low temperature gradient and burial depth of the stratum, until the simulated value of the cluster isotope temperature matches the true value of the cluster isotope temperature.

4. The prediction method according to claim 2, characterized in that, Also includes: Cluster isotope paleotemperature tests were performed on the carbonate rock samples to obtain the true values ​​of the cluster isotope temperatures.

5. The prediction method according to any one of claims 1 to 4, characterized in that, Based on the aforementioned thermal history path and the pre-determined thermal history of the carbonate rock sample, the paleotemperature of the carbonate rock sample is predicted, including: The paleotemperature set of the first stratum was determined based on the described thermal history path; The second stratigraphic paleotemperature set is determined based on the thermal history; wherein, the elements of the first stratigraphic paleotemperature set and the elements of the second stratigraphic paleotemperature set are all the stratigraphic paleotemperatures. When at least one element of the first stratigraphic paleotemperature set and the second stratigraphic paleotemperature set is equal, the stratigraphic paleotemperature is predicted based on the elements in the first stratigraphic paleotemperature set.

6. The prediction method according to claim 1, characterized in that, The carbonate rock sample exhibited cathodoluminescence and had a calcite content >95%.

7. The prediction method according to claim 1, characterized in that, The steps for determining the thermal history include: Obtain zircon samples from the carbonate rock samples; The zircon rock sample was subjected to ZHe age testing to determine its thermal history.

8. A device for predicting paleotemperature of carbonate rock strata, characterized in that, include: The initial time determination module is used to determine the initial time of in-situ formation of carbonate minerals in the carbonate rock sample based on the burial history of the strata where the carbonate rock sample is located and the dating time of the carbonate rock sample. The thermal history path determination module is used to determine the thermal history path of the carbonate rock sample based on the exchange / diffusion model of the stratum in which it is located, the initial time, and the pre-determined cluster isotope temperature of the carbonate rock sample. The stratigraphic paleotemperature prediction module is used to predict the stratigraphic paleotemperature of the carbonate rock sample based on the thermal history path and the pre-determined thermal history of the carbonate rock sample.

9. An electronic device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method for predicting paleotemperature of carbonate rock formations as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for predicting the paleotemperature of carbonate rock strata as described in any one of claims 1 to 7.

Images