A method, apparatus, and storage medium for evaluating the distribution of evaporite minerals.

Abstract

This invention provides a method, apparatus, and storage medium for evaluating the distribution of evaporite minerals. The method includes: acquiring stratigraphic development information of a target area and determining the petrophysical parameters of the target area; constructing a forward model based on the petrophysical parameters; determining seismic waveforms of evaporite mineral types in the target area using the forward model; tracking seismic waveform changes in the target area on a seismic data volume based on the seismic waveform changes; and determining the sedimentary facies transitions of evaporite minerals in the target area based on the seismic waveform changes. This method can accurately track the sedimentary facies transitions of evaporite strata, providing strong support for geological research and resource exploration.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and more specifically to a method, apparatus, and storage medium for evaluating the distribution of evaporite minerals. Background Technology

[0002] Evaporates in lake and sea basins undergo evaporation, concentration, and crystallization to form evaporite minerals. Common salt minerals in evaporate minerals include natural soda ash, soda ash, mirabilite, anhydrous mirabilite, and calcium mirabilite. In enclosed or semi-enclosed environments, influenced by arid climates, intense evaporation of water leads to the formation of chemical sedimentary rocks with crystalline structures, namely evaporate minerals. As an important mineral resource, evaporate minerals have wide applications in agriculture and industry.

[0003] Because evaporite minerals are buried deep and their variation patterns are not obvious, research on the facies transition patterns of evaporite minerals in basin geological studies is often limited to the analysis of single-point drilling data. This mainly relies on single-well core data to identify the sedimentary facies transition patterns of evaporite minerals. However, relying on single-well data to characterize sedimentary facies transition patterns may lead to over-interpretation of local phenomena, and the storage and extraction of evaporite mineral cores is quite difficult, making evaporite mineral cores relatively scarce in drilling core data. This increases the difficulty of identifying sedimentary facies transitions in evaporite layers in deep basin strata. Summary of the Invention

[0004] The purpose of this invention is to provide a method, apparatus, and storage medium for evaluating the distribution of evaporite minerals. This method can accurately track the sedimentary facies changes in evaporite strata, providing strong support for geological research and resource exploration.

[0005] To achieve the above objectives, embodiments of the present invention provide a method for evaluating the distribution of evaporite minerals, the method comprising: Acquire the stratigraphic development of the target area and determine the petrophysical parameters of the target area; A forward model is constructed based on the rock physical parameters, and the seismic waveforms of the evaporite mineral type in the target area are determined using the forward model. Based on the seismic waveform, the changes in the seismic waveform of the target area are tracked on the seismic data volume, and the depositional phase transition of the evaporite minerals in the target area is determined based on the changes in the seismic waveform.

[0006] Optionally, obtaining the stratigraphic development of the target area and determining the petrophysical parameters of the target area includes: Obtain the stratigraphic development of the target area, and construct a stratigraphic sedimentary model based on the stratigraphic development. Determine the petrophysical parameters of the target area based on the stratigraphic sedimentary model; The stratigraphic development includes the rock age, stratigraphic thickness, and rock type in the stratigraphy. The rock physical parameters include rock density, rock impedance, and the propagation velocity of seismic waves within the rock.

[0007] Optionally, the step of constructing a forward model based on the rock physical parameters and determining the seismic waveforms of evaporite mineral types in the target region using the forward model includes: Construct a mathematical model or physical model based on the rock physical parameters; Obtain numerical values ​​of the geophysical effects of the mathematical model or physical model; The seismic waveforms of the evaporite mineral type in the target region are determined based on the numerical values ​​of the geophysical effects.

[0008] Optionally, the step of determining the target area's tracking of seismic waveform changes on the seismic data volume based on the seismic waveform, and determining the sedimentary facies transition of evaporite minerals in the target area based on the seismic waveform changes, includes: Obtain the root mean square amplitude value of the earthquake waveform; The seismic waveform variation is determined based on the root mean square amplitude value, and the seismic waveform variation includes the wave impedance value of the interlayer in the seismic data volume. The rock and mineral composition in the seismic data volume is determined based on the wave impedance value of the interlayer.

[0009] Optionally, the root mean square amplitude value is positively correlated with the wave impedance value of the interlayer in the seismic data volume; The wave impedance value of the interlayer is positively correlated with the gypsum and / or dolomite content of the interlayer.

[0010] Optionally, the sedimentary phase transition includes the content of rock salt, gypsum, and dolomite in the strata.

[0011] On the other hand, this application also proposes an apparatus for evaluating the distribution of evaporite minerals, the apparatus comprising: The acquisition module is used to acquire the stratigraphic development of the target area and determine the rock physical parameters of the target area; The first processing module is used to construct a forward model based on the rock physical parameters, and to determine the seismic waveforms of the evaporite mineral type in the target area through the forward model; The second processing module is used to determine the changes in the seismic waveform of the target area on the seismic data volume based on the seismic waveform, and to determine the depositional phase transition of the evaporite minerals in the target area based on the changes in the seismic waveform.

[0012] Optionally, obtaining the stratigraphic development of the target area and determining the petrophysical parameters of the target area includes: Obtain the stratigraphic development of the target area, and construct a stratigraphic sedimentary model based on the stratigraphic development. Determine the petrophysical parameters of the target area based on the stratigraphic sedimentary model; The stratigraphic development includes the rock age, stratigraphic thickness, and rock type in the stratigraphy. The rock physical parameters include rock density, rock impedance, and the propagation velocity of seismic waves within the rock.

[0013] Optionally, the step of constructing a forward model based on the rock physical parameters and determining the seismic waveforms of evaporite mineral types in the target region using the forward model includes: Construct a mathematical model or physical model based on the rock physical parameters; Obtain numerical values ​​of the geophysical effects of the mathematical model or physical model; The seismic waveforms of the evaporite mineral type in the target region are determined based on the numerical values ​​of the geophysical effects.

[0014] Optionally, the step of determining the target area's tracking of seismic waveform changes on the seismic data volume based on the seismic waveform, and determining the sedimentary facies transition of evaporite minerals in the target area based on the seismic waveform changes, includes: Obtain the root mean square amplitude value of the earthquake waveform; The seismic waveform variation is determined based on the root mean square amplitude value, and the seismic waveform variation includes the wave impedance value of the interlayer in the seismic data volume. The rock and mineral composition in the seismic data volume is determined based on the wave impedance value of the interlayer. The root mean square amplitude value is positively correlated with the wave impedance value of the interlayer in the seismic data volume; The wave impedance value of the interlayer is positively correlated with the gypsum and / or dolomite content of the interlayer.

[0015] On the other hand, this application also proposes a machine-readable storage medium storing instructions that, when executed by a processor, configure the processor to perform the method described above for evaluating the distribution of evaporite minerals.

[0016] This invention provides a method for evaluating the distribution of evaporite minerals, comprising: acquiring stratigraphic development information of a target area and determining the petrophysical parameters of the target area; constructing a forward model based on the petrophysical parameters; determining seismic waveforms of evaporite mineral types in the target area using the forward model; tracking seismic waveform changes in the target area on a seismic data volume based on the seismic waveforms; and determining the sedimentary facies transitions of evaporite minerals in the target area based on the seismic waveform changes. This method utilizes the differences in the physical properties of different evaporite minerals, combined with detailed seismic and geological analysis, to accurately determine the petrophysical characteristics of various evaporite minerals. Based on this, it finely characterizes the sedimentary facies transitions of evaporite minerals within the basin, clearly reveals the seismic waveform characteristics of evaporite minerals at different strata, and accurately defines their variations. This not only helps in tracking the sedimentary facies transitions of regional evaporite minerals but also provides important technical support for studying the sedimentary paleogeography of gypsum-bearing basins, providing strong support for geological research and resource exploration.

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

[0018] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart illustrating a method for evaluating the distribution of evaporite minerals according to the present invention; Figure 2 This is a schematic diagram of an evaporite formation according to the present invention; Figure 3 This is a schematic flowchart of one embodiment of the present invention; Figure 4 This is a schematic diagram illustrating the changes in seismic waveforms of different types of evaporite minerals in the geophysical forward modeling of this invention; Figure 5 This is a schematic diagram showing the relationship between the root mean square amplitude (RMS) value and the wave impedance of the interlayer within the evaporite layer, plotted based on geophysical forward modeling results according to the present invention. Figure 6 This is an RMS property diagram of the formation in the example; Figure 7 This is a schematic diagram of an apparatus for evaluating the distribution of evaporated salt minerals according to the present invention.

[0019] Explanation of reference numerals in the attached figures 700 - An apparatus for evaluating the distribution of evaporite minerals; 701 - Acquisition Module; 702 - First Processing Module; 703 - Second processing module. Detailed Implementation The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.

[0020] It should be noted that the acquisition, transmission, storage, use, and processing of data in the technical solution of this application all comply with the relevant provisions of national laws and regulations. In the embodiments of this application, certain existing industry solutions such as software, components, and models may be mentioned. These should be considered exemplary, intended only to illustrate the feasibility of implementing the technical solution of this application, and do not imply that the applicant has already used or necessarily used such solutions.

[0021] Example 1 Figure 1 This is a flowchart illustrating a method for evaluating the distribution of evaporite minerals according to the present invention, as shown below. Figure 1 As shown, the method includes: Step S101 involves obtaining the stratigraphic development of the target area and determining the rock physical parameters of the target area.

[0022] According to one specific implementation, obtaining the stratigraphic development of the target area and determining the petrophysical parameters of the target area includes: obtaining the stratigraphic development of the target area; constructing a stratigraphic sedimentary model based on the stratigraphic development; and determining the petrophysical parameters of the target area based on the stratigraphic sedimentary model.

[0023] In basin studies, because the interface changes of evaporite minerals during deposition are transitional, different strata contain evaporite minerals of varying compositions. For example... Figure 2 As shown, the proportions of rock salt, gypsum, and carbonate rock in the evaporated salt minerals are different, and the physical properties of the three minerals are also different. Figure 2 Figure a shows alternating layers of dolomite and gypsum, while Figure b shows alternating layers of evaporite and mudstone. This invention utilizes the differences in the physical properties of different evaporite minerals to establish an appropriate stratigraphic sedimentary model, which can be used to identify changes in the waveform of evaporite layers on seismic data volumes. Furthermore, suitable computational methods can be found to track the sedimentary changes of evaporite minerals.

[0024] The stratigraphic development includes the age of the rocks in the strata, the thickness of the strata, and the types of rocks in the strata. Specifically, the types of rocks in the strata can be dolomite, gypsum dolomite, gypsum layers, gypsum-salt rocks, and rock salt, etc.

[0025] Stratigraphic sedimentary models are important tools for stratigraphic analysis and can be divided into three main types: scale models, conceptual models, and mathematical models. Mathematical models can be further divided into deterministic models and stochastic models.

[0026] The physical parameters of the rock include rock density, rock wave impedance, and the propagation velocity of seismic waves within the rock. Specifically, the rock wave impedance, also known as wave resistance, is the stress required to induce a disturbance in the rock and generate a unit vibration velocity in a particle. The higher the wave impedance, the greater the stress required to generate a unit vibration velocity; conversely, the lower the wave impedance, the smaller the stress required to generate a unit vibration velocity. Actual rock strata are composed of different types of rocks. Sedimentary rocks also exhibit significant variations in density, porosity, and infill materials due to different sedimentary environments and ages. Therefore, the velocity values ​​of various rock types vary within a certain range. Igneous rocks have higher velocities than metamorphic and sedimentary rocks, and their velocity variation range is smaller; metamorphic rocks have a larger velocity variation range. Sedimentary rocks have lower velocities, but due to their complex structure and numerous influencing factors, their velocity variation range is the largest.

[0027] Step S102 involves constructing a forward model based on the rock physical parameters and determining the seismic waveforms of the evaporite mineral type in the target area using the forward model.

[0028] According to one specific implementation, the step of constructing a forward model based on the rock physical parameters and determining the seismic waveform of the evaporite mineral type in the target area through the forward model includes: constructing a mathematical model or a physical model based on the rock physical parameters; obtaining the numerical values ​​of the geophysical effects of the mathematical model or physical model; and determining the seismic waveform of the evaporite mineral type in the target area based on the numerical values ​​of the geophysical effects.

[0029] Specifically, the rock physical parameters include rock density, rock wave impedance, and the propagation speed of seismic waves within the rock.

[0030] The mathematical model or physical model is a forward model. The geophysical effect is a geophysical forward model, which refers to the process in geophysical data interpretation theory of calculating the field anomalies or effects caused by a geological body based on its occurrence state (shape, occurrence, spatial location) and physical property parameters (density, magnetism, electrical properties, elasticity, velocity, etc.).

[0031] Seismic waveforms refer to the shape of a wave generated by a seismic wave propagating through different rock layers. Parameters used to quantify seismic waveforms include the wavelength of the seismic wave, the frequency of the wave, and the amplitude of the wave in the positive and negative phase intervals.

[0032] Step S103 involves determining the seismic waveform changes of the target area on the seismic data volume based on the seismic waveform, and then determining the sedimentary facies transition of the evaporite minerals in the target area based on the seismic waveform changes. Specifically, the sedimentary facies transition includes the content of rock salt, gypsum, and dolomite in the strata.

[0033] According to one specific implementation, determining the target area's tracking of seismic waveform changes on a seismic data volume based on the seismic waveform, and determining the sedimentary phasing transition of evaporite minerals in the target area based on the seismic waveform changes, includes: obtaining the root-mean-square (RMS) amplitude value of the seismic waveform; determining the seismic waveform changes based on the RMS amplitude value, wherein the seismic waveform changes include the wave impedance values ​​of interlayers within the seismic data volume; and determining the rock mineral composition within the seismic data volume based on the wave impedance values ​​of the interlayers. The RMS amplitude value is positively correlated with the wave impedance values ​​of the interlayers within the seismic data volume; the wave impedance values ​​of the interlayers are positively correlated with the gypsum and / or dolomite content of the interlayers. The RMS amplitude is the square root of the average of the squared amplitudes.

[0034] The root-mean-square (RMS) amplitude is positively correlated with the wave impedance of interlayers within gypsum-salt layers. The larger the wave impedance of the interlayer, the larger the calculated RMS amplitude. Furthermore, the wave impedance of the interlayer is significantly related to the rock and mineral composition of the interlayer. For example, the larger the wave impedance of the formation, the larger the RMS amplitude, and the higher the content of gypsum and dolomite in the interlayer.

[0035] In practical geological exploration, evaporite minerals exhibit diverse sedimentary types and exceptionally complex sedimentary variations. This invention fully leverages the differences in the physical properties of various evaporite minerals, combining detailed seismic and geological analyses to accurately determine the petrophysical characteristics of different types of evaporite minerals. By meticulously characterizing the sedimentary facies transitions of evaporite minerals within a basin, the seismic waveform characteristics of evaporite minerals at different strata are clearly revealed, and their variations are accurately defined. This not only helps in tracking the sedimentary facies transitions of regional evaporite minerals but also provides crucial technical support for studying the sedimentary paleogeography of gypsum-bearing basins. This method has broad application prospects, enabling precise tracking of sedimentary facies transitions in evaporite strata on seismic data volumes, providing strong support for geological research and resource exploration.

[0036] Example 2 Figure 3 This is a schematic flowchart of one embodiment of the present invention, as shown below. Figure 3 As shown, this embodiment includes the following steps: Step 1: Collect and organize basic data to clarify the basic situation of regional stratigraphic development (i.e., stratigraphic development status). Specifically, the basic data refers to the historical stratigraphic data of the target area, used to determine the stratigraphic development status. The stratigraphic development status includes the rock age, stratigraphic thickness, and rock type in the strata.

[0037] Step Two: Based on the stratigraphic development identified in Step One, determine the rock physical parameters to establish a suitable stratigraphic sedimentary model. Specifically, the stratigraphic sedimentary model is a forward modeling model.

[0038] Step 3: Based on geophysical forward modeling, and using the rock physical parameters from Step 2, establish a forward model to clarify the seismic waveforms of different evaporite mineral types (also known as evaporite minerals). The rock physical parameters include rock density, rock impedance, and the propagation velocity of seismic waves within the rock.

[0039] Step 4: Based on the earthquake waveform situation identified in Step 3, find a suitable waveform representation method on the earthquake data volume.

[0040] Step 5: Using the waveform calculation method determined in Step 4, track the changes in the seismic waveform on the seismic data volume. Specifically, obtain the root mean square amplitude value of the seismic waveform; determine the changes in the seismic waveform based on the root mean square amplitude value.

[0041] Step Six: Plot the changes in the seismic waveforms tracked in Step Five to obtain the sedimentary phasing transition of regional evaporite minerals.

[0042] This method, based on the differences in the physical properties of various evaporite minerals and combined with detailed seismic geological analysis, precisely classifies the petrophysical characteristics of different types of evaporite minerals. Through these characteristics, it delves into the sedimentary facies transitions of evaporite minerals within the basin, clarifying the seismic waveform characteristics and variation patterns of evaporite minerals at each stratum. This provides an effective means for accurately tracking the sedimentary facies transitions of evaporite minerals.

[0043] Example 3 This embodiment traces the facies transition of gypsum-salt deposits in the Wusonggeer Formation in the Shunbei area of ​​the Tarim Basin, specifically including: Step (1) Organize and collect basic data to clarify the basic situation of regional stratigraphic development. According to the data, the Shunbei area of ​​the Tarim Basin has gypsum-salt layers in the Middle and Lower Cambrian Wusonggeer Formation, and the overlying strata are Shayilik Formation limestone.

[0044] Step (2) Based on the stratigraphic development specified in Step (1), determine the petrophysical parameters of rocks in different strata, as shown in Table 1: Table 1: Petrophysical parameters of different types of evaporite minerals speed m / s <![CDATA[Density g / cm 3 > wave impedance Dolomite 7086 2.806 19883.316 Gypsum dolomite 6573 2.85 18733.05 plaster layer 5795 2.782 16121.69 gypsum salt rock 5021 2.3 11548.3 rock salt 4540 2.04 9261.6 Step (3) as follows Figure 4 As shown, based on geophysical forward modeling, a forward model is established using the rock physical parameters in step (2) to clarify the seismic waveforms of different evaporite mineral types.

[0045] Step (4) is based on the seismic waveform conditions specified in step (3) to find a suitable waveform representation method on the seismic data volume. The results of the waveform forward modeling show (as shown in Table 2) that the root mean square amplitude value has a significant positive correlation with the wave impedance value of the interlayer within the gypsum-salt layer (e.g., ...). Figure 5 (As shown). The larger the interlayer impedance value, the larger the calculated root-mean-square amplitude value. The interlayer impedance value is significantly related to the rock and mineral composition of the interlayer. That is, the higher the gypsum and dolomite content in the interlayer, the larger the stratum impedance value and the larger the root-mean-square amplitude value. Therefore, using the root-mean-square amplitude attribute of the Wusonggeer Formation to reflect the evaporite mineral content within the Wusonggeer Formation is as follows: a larger root-mean-square amplitude value indicates a higher gypsum and dolomite content in the gypsum-salt layer; a smaller root-mean-square amplitude value indicates a higher rock salt content in the gypsum-salt layer.

[0046] Table 2. Amplitude, RMS, and wave impedance of different parts of the four forward models and the interlayer of the evaporation salt layer.

[0047] Step (5): Using the waveform calculation method determined in step (4), track the changes in the seismic waveform on the seismic data volume. For example... Figure 6 As shown, this application uses the root mean square amplitude algorithm to extract T8. 3 and T8 4 The properties between two layers. As explained in the method above, the root mean square amplitude property map can reflect the sedimentary phase transition of evaporite minerals.

[0048] Step (6): Plot the changes in the seismic waveforms tracked in step (5) to obtain the sedimentary phase transition of regional evaporite minerals.

[0049] In practical geological exploration, evaporite minerals exhibit diverse sedimentary types and exceptionally complex sedimentary changes, making it difficult for technicians to accurately track and characterize evaporite mineral phase transitions within basins. While existing technologies are simple, they neglect the limitations of well location control, such as relying on single-point well locations for limited tracking and core observation. Although single-well data can help reveal sedimentary phase transition patterns to some extent, it may also lead to the overemphasis of local phenomena. Furthermore, the storage and extraction of evaporite mineral cores are challenging, making evaporite mineral core data from drilling particularly scarce, undoubtedly increasing the difficulty of identifying sedimentary phase transitions in deep basin strata. This application fully utilizes the differences in the physical properties of various evaporite minerals, combined with detailed seismic and geological analysis, to accurately define the petrophysical characteristics of various evaporite minerals. Based on this, this application also meticulously characterizes the sedimentary phase transitions of evaporite minerals within the basin, clearly revealing the seismic waveform characteristics of evaporite minerals at different strata and accurately defining their variations. This not only helps in tracking the sedimentary facies transitions of regional evaporite minerals, but also provides important technical support for studying the sedimentary paleogeography of gypsum-bearing basins. It can accurately track the sedimentary facies transitions of evaporite strata on seismic data volumes, providing strong support for geological research and resource exploration.

[0050] Example 4 Figure 7 This is a schematic diagram of an apparatus for evaluating the distribution of evaporite minerals according to the present invention, as shown below. Figure 7 As shown, the apparatus 700 for evaluating the distribution of evaporated salt minerals in this application includes: The acquisition module 701 is used to acquire the stratigraphic development of the target area and determine the rock physical parameters of the target area.

[0051] The first processing module 702 is used to construct a forward model based on the rock physical parameters and determine the seismic waveform of the evaporite mineral type in the target area through the forward model.

[0052] The second processing module 703 is used to determine the changes in the seismic waveform of the target area on the seismic data volume based on the seismic waveform, and to determine the depositional phase transition of the evaporite minerals in the target area based on the changes in the seismic waveform.

[0053] Specifically, obtaining the stratigraphic development of the target area and determining the rock physical parameters of the target area includes: obtaining the stratigraphic development of the target area and constructing a stratigraphic sedimentary model based on the stratigraphic development; determining the rock physical parameters of the target area based on the stratigraphic sedimentary model; the stratigraphic development includes the rock age, stratigraphic thickness, and rock type in the stratigraphic strata, and the rock physical parameters include rock density, rock wave impedance, and the propagation velocity of seismic waves within the rock.

[0054] The step of constructing a forward model based on the rock physical parameters and determining the seismic waveforms of evaporite mineral types in the target area using the forward model includes: constructing a mathematical model or a physical model based on the rock physical parameters; obtaining the numerical values ​​of the geophysical effects of the mathematical model or physical model; and determining the seismic waveforms of evaporite mineral types in the target area based on the numerical values ​​of the geophysical effects.

[0055] The step of determining the target area's tracking of seismic waveform changes on a seismic data volume based on the seismic waveform, and determining the depositional phasing transition of evaporite minerals in the target area based on the seismic waveform changes, includes: obtaining the root mean square amplitude value of the seismic waveform; determining the seismic waveform changes based on the root mean square amplitude value, wherein the seismic waveform changes include the wave impedance values ​​of interlayers in the seismic data volume; determining the rock and mineral composition in the seismic data volume based on the wave impedance values ​​of the interlayers; the root mean square amplitude value is positively correlated with the wave impedance values ​​of the interlayers in the seismic data volume; and the wave impedance values ​​of the interlayers are positively correlated with the gypsum and / or dolomite content of the interlayers.

[0056] This device has broad application prospects, enabling precise tracking of sedimentary phasing changes in evaporite strata on seismic data volumes, providing strong support for geological research and resource exploration.

[0057] This invention provides a method for evaluating the distribution of evaporite minerals, comprising: acquiring stratigraphic development information of a target area and determining the petrophysical parameters of the target area; constructing a forward model based on the petrophysical parameters; determining seismic waveforms of evaporite mineral types in the target area using the forward model; tracking seismic waveform changes in the target area on a seismic data volume based on the seismic waveforms; and determining the sedimentary facies transitions of evaporite minerals in the target area based on the seismic waveform changes. This method utilizes the differences in the physical properties of different evaporite minerals, combined with detailed seismic and geological analysis, to accurately determine the petrophysical characteristics of various evaporite minerals. Based on this, it finely characterizes the sedimentary facies transitions of evaporite minerals within the basin, clearly reveals the seismic waveform characteristics of evaporite minerals at different strata, and accurately defines their variations. This not only helps in tracking the sedimentary facies transitions of regional evaporite minerals but also provides important technical support for studying the sedimentary paleogeography of gypsum-bearing basins, providing strong support for geological research and resource exploration.

[0058] On the other hand, embodiments of the present invention provide a storage medium on which a program is stored, which, when executed by a processor, implements the method for evaluating the distribution of evaporite minerals.

[0059] This invention provides a processor for running a program, wherein the program executes the method for evaluating the distribution of evaporite minerals.

[0060] This invention provides a device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs the following steps: acquiring entity data of a physical entity, the entity data including entity motion data and entity graphics; establishing a data library based on the entity motion data; establishing a model library based on the entity graphics; setting an index identifier for the physical entity based on the data library; and setting the same index identifier for the physical entity based on the model library. The index identifier is used to retrieve whether the model library contains an entity graphics of the physical entity to be tested. The device described herein can be a server, PC, PAD, mobile phone, etc.

[0061] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having the following method steps: acquiring entity data of a physical entity, the entity data including entity motion data and entity graphics; establishing a data library based on the entity motion data; establishing a model library based on the entity graphics; setting an index identifier for the physical entity based on the data library; setting the same index identifier for the physical entity based on the model library, the index identifier being used to retrieve whether the model library contains an entity graphics of the physical entity to be tested.

[0062] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0063] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0064] 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.

[0065] 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.

[0066] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0067] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0068] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0069] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0070] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method of evaluating the distribution of evaporite minerals, characterized in that, The method comprises: acquiring stratum development conditions of a target area and determining rock physical parameters of the target area; constructing a forward model according to the rock physical parameters and determining seismic waveforms of evaporite mineral types in the target area through the forward model; determining a sedimentary facies variation condition of evaporite minerals in the target area according to a seismic waveform variation condition of the target area on a seismic data volume according to the seismic waveforms.

2. The method of claim 1, wherein, The acquiring of the stratum development conditions of the target area and the determining of the rock physical parameters of the target area comprise: acquiring stratum development conditions of a target area and constructing a stratum sedimentary model according to the stratum development conditions; determining rock physical parameters of the target area according to the stratum sedimentary model; The stratum development conditions comprise rock ages, stratum thicknesses and rock types in the strata, and the rock physical parameters comprise rock densities, rock wave impedances and propagation speeds of seismic waves in the rocks.

3. The method of claim 1, wherein, The constructing of the forward model according to the rock physical parameters and the determining of the seismic waveforms of evaporite mineral types in the target area through the forward model comprise: constructing a mathematical model or a physical model according to the rock physical parameters; acquiring numerical values of geophysical effects of the mathematical model or the physical model; determining the seismic waveforms of evaporite mineral types in the target area according to the numerical values of the geophysical effects.

4. The method of claim 1, wherein, The determining of the seismic waveform variation condition of the target area on the seismic data volume according to the seismic waveforms and the determining of the sedimentary facies variation condition of evaporite minerals in the target area according to the seismic waveform variation condition comprise: acquiring root mean square amplitude values of the seismic waveforms; determining the seismic waveform variation condition according to the root mean square amplitude values, the seismic waveform variation condition comprising wave impedance values of interlayers in the seismic data volume; determining rock mineral compositions in the seismic data volume according to the wave impedance values of the interlayers.

5. The method according to claim 4, wherein: the root mean square amplitude values are positively correlated with the wave impedance values of the interlayers in the seismic data volume; the wave impedance values of the interlayers are positively correlated with contents of gypsum and / or dolomite of the interlayers.

6. The method according to claim 1, 4 or 5, wherein: the sedimentary facies variation condition comprises contents of halite, gypsum and dolomite in the strata.

7. An apparatus for evaluating the distribution of evaporite minerals, characterized by, The device comprises: an acquiring module configured to acquire stratum development conditions of a target area and determine rock physical parameters of the target area; a first processing module configured to construct a forward model according to the rock physical parameters and determine seismic waveforms of evaporite mineral types in the target area through the forward model; a second processing module configured to determine a sedimentary facies variation condition of evaporite minerals in the target area according to a seismic waveform variation condition of the target area on a seismic data volume according to the seismic waveforms.

8. The apparatus of claim 7, wherein, The acquiring of the stratum development conditions of the target area and the determining of the rock physical parameters of the target area comprise: acquiring stratum development conditions of a target area and constructing a stratum sedimentary model according to the stratum development conditions; determining rock physical parameters of the target area according to the stratum sedimentary model; Determine the petrophysical parameters of the target area based on the stratigraphic sedimentary model; The stratigraphic development includes the rock age, stratigraphic thickness, and rock type in the stratigraphy. The rock physical parameters include rock density, rock impedance, and the propagation velocity of seismic waves within the rock.

9. The apparatus of claim 7, wherein, The step of constructing a forward model based on the rock physical parameters and determining the seismic waveforms of evaporite mineral types in the target region using the forward model includes: Construct a mathematical model or physical model based on the rock physical parameters; Obtain numerical values ​​of the geophysical effects of the mathematical model or physical model; The seismic waveforms of the evaporite mineral type in the target region are determined based on the numerical values ​​of the geophysical effects.

10. The apparatus of claim 7, wherein, The step of determining the target area based on the seismic waveform by tracking changes in the seismic waveform on the seismic data volume, and determining the sedimentary facies transition of evaporite minerals in the target area based on the changes in the seismic waveform, includes: Obtain the root mean square amplitude value of the earthquake waveform; The seismic waveform variation is determined based on the root mean square amplitude value, and the seismic waveform variation includes the wave impedance value of the interlayer in the seismic data volume. The rock and mineral composition in the seismic data volume is determined based on the wave impedance value of the interlayer. The root mean square amplitude value is positively correlated with the wave impedance value of the interlayer in the seismic data volume; The wave impedance value of the interlayer is positively correlated with the gypsum and / or dolomite content of the interlayer.

11. A machine-readable storage medium having instructions stored thereon, the instructions comprising: When executed by a processor, this instruction causes the processor to be configured to perform the method for evaluating the distribution of evaporite minerals as described in any one of claims 1 to 6.

Images