A method, system and terminal for oil exploration

Abstract

The application provides a petroleum exploration method, system and terminal, aiming to improve the efficiency and success rate of oil and gas resource exploration. The method first screens target exploration areas in the surrounding area of existing oil fields, and then measures underground medium velocity structure data through seismic exploration method. By comparing the rock samples of existing oil fields with the underground medium velocity structure data, the potential oil and gas resource area is accurately located. According to the obtained underground medium information data, the drilling position is determined, and the possibility of oil-bearing in the area is evaluated through rock sample analysis. Compared with the traditional exploration method, the exploration risk and cost can be significantly reduced, and the accuracy of oil and gas resource discovery is improved, providing a more scientific and economic technical path for petroleum and natural gas exploration.

Description

Technical Field

[0001] This application relates to the field of petroleum exploration, and in particular to a petroleum exploration method, system and terminal. Background Technology

[0002] Petroleum exploration is a complex geological engineering process for detecting and determining the distribution, quantity, and quality of underground petroleum resources. Traditional petroleum exploration methods mainly include seismic exploration, gravity exploration, magnetic exploration, electrical exploration, and drilling. Each method has unique technical characteristics and limitations.

[0003] Seismic exploration is widely considered the most accurate method for oil exploration. By artificially generating and analyzing seismic waves, engineers can map underground geological structures relatively accurately. However, the obtained seismic data requires meticulous analysis. Even experienced experts can make misinterpretations when interpreting these complex seismic waveforms and underground structures.

[0004] Drilling is the most direct but also the most expensive method of oil exploration. By taking samples from actual boreholes, engineers can directly obtain detailed information about underground rock formations and potential oil resources. However, drilling is extremely costly, carries significant economic risks, and can cause environmental damage. Each exploration well can represent an investment of millions of dollars, with a relatively low success rate. Summary of the Invention

[0005] This application provides a method for oil exploration, including the following steps:

[0006] A1, to explore and identify target exploration areas where oil and gas resources may exist in the surrounding areas of the pre-defined existing oilfield area;

[0007] A2, within the target exploration area, the corresponding underground medium velocity structure data are obtained by measuring using a pre-set seismic exploration method;

[0008] A3. Based on the comparison of existing oilfield rock samples and existing oilfield subsurface medium velocity structure data in the existing oilfield area, determine the subsurface medium information data of the exploration area corresponding to the subsurface medium velocity structure data of the exploration area.

[0009] A4. Select drilling locations and collect rock samples from the exploration area based on the underground medium information data of the exploration area.

[0010] A5, Determine the corresponding rock sample characteristic data of the exploration area based on the analysis of rock samples from the exploration area;

[0011] A6. Analyze and evaluate the underground oil content of the target exploration area based on the information data of the underground medium and the characteristic data of the rock samples in the exploration area.

[0012] By adopting the above technical solution, the oil exploration method can screen target areas in the surrounding areas of existing oil fields, then use seismic exploration to obtain underground medium velocity structure data, and locate potential oil and gas resources by comparing and analyzing data with known oil field data. Through selective drilling and rock sample analysis, it not only reduces the risk of blind exploration, but also lowers exploration costs and improves the success rate of oil and gas resource discovery.

[0013] Optionally, the oil exploration method further includes the following steps for determining the target exploration area:

[0014] A101, Obtain existing oilfield surface topography data for the existing oilfield area;

[0015] A102, Based on the existing oilfield surface topography data, the corresponding existing oilfield topography feature data is generated by using a preset topography feature extraction algorithm;

[0016] A103, selects multiple corresponding target selection areas in the surrounding area of ​​the existing oilfield area based on the preset exploration selection range;

[0017] A104, Obtain the surface topography data of the selected area of ​​the target selection region;

[0018] A105, based on the surface topography data of each selected area, the corresponding topography feature data of the selected area is extracted and generated using a topography feature extraction algorithm;

[0019] A106, calculate the corresponding terrain feature similarity based on the terrain feature data of each selected area and the existing oilfield terrain feature data using a preset terrain feature comparison algorithm;

[0020] A107 defines the target exploration area as the target area corresponding to the terrain feature data of the selected area with the highest terrain feature similarity.

[0021] By adopting the above technical solution, the oil exploration method can acquire and extract surface topographic feature data of existing oil fields and surrounding areas, and use topographic feature extraction and comparison algorithms to quantitatively assess the similarity between the topographic features of different areas and existing oil-producing areas, thereby achieving preliminary screening of exploration areas based on surface features.

[0022] Optionally, the terrain feature extraction algorithm includes the following steps:

[0023] B1, determine the corresponding positioning coordinate matrix in the preset terrain data to be processed at preset intervals;

[0024] B2, determine the corresponding coordinate height based on each positioning coordinate in the positioning coordinate matrix and the terrain data to be processed;

[0025] B3, combine the positioning coordinate matrix and coordinate height to generate the corresponding terrain height matrix;

[0026] B4 defines the terrain height matrix as terrain feature data.

[0027] By adopting the above technical solution, the oil exploration method can obtain the corresponding terrain height value on the terrain data to be processed through a positioning coordinate matrix formed by the same spacing, and transform it into a standardized terrain height matrix. This provides a standardized and digital basis for subsequent terrain feature comparison and analysis, improves the computational efficiency of terrain data processing, and provides a more objective and accurate technical means for terrain feature analysis in oil exploration.

[0028] Optionally, the terrain feature comparison algorithm includes the following steps:

[0029] C1, Generates a grayscale map of the selected area's terrain features using a preset image generation algorithm;

[0030] C2, Generates a grayscale map of the existing oilfield terrain based on existing oilfield terrain feature data using an image generation algorithm;

[0031] C3, calculate the corresponding terrain image similarity based on the selected area terrain grayscale map and the existing oilfield terrain grayscale map using a preset image similarity algorithm;

[0032] C4 defines terrain image similarity as terrain feature similarity.

[0033] By adopting the above technical solution, the oil exploration method can transform topographic feature data into visualized and computable grayscale images, and use image similarity algorithms for quantitative comparison. This not only overcomes the subjective and empirical limitations of traditional geological feature comparison, but also significantly improves the objectivity and accuracy of regional geological feature matching, thereby reducing exploration costs and increasing the probability of oil and gas resource discovery.

[0034] Optionally, the oil exploration method further includes the following steps for determining drilling locations:

[0035] A401 generates corresponding three-dimensional model data of the underground medium in the exploration area based on the information data of the underground medium in the exploration area.

[0036] A402 uses preset drilling depths and preset drilling diameters to simulate drilling at various locations in the three-dimensional model data of the underground medium in the exploration area to obtain corresponding simulated rock sample medium data.

[0037] A403, obtain the simulated rock sample medium structure velocity data corresponding to the simulated rock sample medium data from the underground medium velocity structure data of the exploration area;

[0038] A404, based on existing oilfield rock samples and existing oilfield subsurface medium velocity structure data, determine the corresponding source rock structure velocity range;

[0039] A405, calculate the estimated proportion of source rock in the media data of each simulated rock sample based on the velocity range of the source rock structure;

[0040] A406 defines the simulated rock sample with the largest estimated proportion of source rocks as the best simulated rock sample;

[0041] A407 defines the location coordinates corresponding to the best simulated rock sample as the drilling location.

[0042] By adopting the above technical solution, the oil exploration method can construct a three-dimensional model of the underground medium and simulate boreholes at different locations in the model. By analyzing the velocity and structure data of the rock sample medium at each simulated borehole location and referring to the existing source rock structure and velocity range of the oilfield, the estimated proportion of source rock at each simulated location can be calculated. This not only reduces the blindness and randomness of traditional drilling, but also significantly improves the success rate of drilling location selection and resource acquisition efficiency.

[0043] Optionally, the oil exploration method further includes the following steps:

[0044] D1. Obtain the corresponding drilling rock sample velocity structure data based on the drilling location of the rock sample in the exploration area and the velocity structure data of the underground medium in the exploration area.

[0045] D2, based on the analysis of rock samples from the exploration area, determine the corresponding source rock depth range data and TOC content depth data;

[0046] D3, determine the corresponding source rock velocity structure data based on the source rock depth range data and drilled rock sample velocity structure data;

[0047] D4. Based on TOC content depth data and source rock velocity structure data, corresponding seismic wave velocity TOC content comparison data are generated.

[0048] D5 generates underground oil generation potential distribution data for the exploration area by combining seismic wave velocity TOC content comparison data and underground medium velocity structure data of the exploration area.

[0049] By adopting the above technical solution, the oil exploration method can construct a comparison data of seismic wave velocity and TOC content through drilling rock sample velocity structure data, source rock depth range, and TOC content depth data, and finally generate underground oil generation potential distribution data of the exploration area. This overcomes the limitations of qualitative assessment in traditional oil exploration, and can also provide objective and quantitative resource distribution maps, improve the success rate of oil exploration, reduce exploration costs, and provide effective data support for oil and gas resource assessment and development.

[0050] Optionally, the oil exploration method further includes the following steps:

[0051] E1, Generate a three-dimensional model of the underground oil potential distribution in the exploration area based on the data on the distribution of underground oil potential in the exploration area;

[0052] E2, based on the preset statistical depth and the three-dimensional model of the distribution of underground oil generation potential in the exploration area, accumulates the TOC content value of each positioning coordinate to generate the positioning underground TOC content data.

[0053] E3: Based on the positioning coordinates, the underground TOC content data is mapped to the selected area surface topography data of the target exploration area to generate surface mapping data of underground oil generation potential.

[0054] E4 generates a corresponding surface mapping map of underground oil generation potential based on the surface mapping data of underground oil generation potential.

[0055] By adopting the above technical solution, the oil exploration method can construct a three-dimensional model of underground oil potential distribution, accumulate TOC content at a preset statistical depth, and map complex underground data onto surface topography to generate an intuitive surface mapping map of underground oil potential. This provides decision-makers with more intuitive and scientific resource assessment data, improving the data transparency and decision-making efficiency of oil exploration.

[0056] This application also provides an oil exploration system, comprising:

[0057] Topographic mapping module;

[0058] Seismic exploration module;

[0059] Rock sampling module;

[0060] Rock Analysis Module;

[0061] Data processing module;

[0062] The topographic mapping module, the seismic exploration module, the rock sampling module, and the rock analysis module are all connected to the data processing module.

[0063] The oil exploration system further includes an oil exploration strategy, comprising the following steps:

[0064] F1, in the area surrounding the pre-set existing oilfield area, the topographic mapping module is used to explore and determine the target exploration area where oil and gas resources may exist;

[0065] F2, within the target exploration area, obtains the corresponding subsurface medium velocity structure data of the exploration area through the seismic exploration module;

[0066] F3, through the data processing module, the exploration area underground medium information data corresponding to the underground medium velocity structure data of the exploration area is determined by comparing the existing oilfield rock samples and the existing oilfield underground medium velocity structure data of the existing oilfield area.

[0067] F4, selects drilling locations based on underground medium information data of the exploration area and collects rock samples of the exploration area through drilling using the rock sampling module;

[0068] F5, the rock analysis module determines the corresponding rock sample characteristic data of the exploration area based on the analysis of rock samples in the exploration area;

[0069] F6 analyzes and evaluates the underground oil content of the target exploration area based on the information data of the underground medium and the characteristic data of the rock samples in the exploration area.

[0070] By adopting the above technical solution, the oil exploration system can screen target areas in the surrounding areas of existing oil fields, then use seismic exploration to obtain underground medium velocity structure data, and locate potential oil and gas resources by comparing and analyzing data with known oil field data. Through selective drilling and rock sample analysis, it not only reduces the risk of blind exploration, but also lowers exploration costs and improves the success rate of oil and gas resource discovery.

[0071] This application also provides a smart terminal, which adopts the following technical solution:

[0072] A smart terminal includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed by the aforementioned oil exploration method.

[0073] By adopting the above technical solution, target areas can be screened in the surrounding areas of existing oil fields through the use of smart terminals. Then, the velocity structure data of the underground medium can be obtained by seismic exploration. By comparing and analyzing the data with known oil field data, potential oil and gas resources can be located. Through selective drilling and rock sample analysis, not only is the risk of blind exploration reduced, but exploration costs are also lowered, and the success rate of oil and gas resource discovery is improved.

[0074] In summary, this application includes at least one of the following beneficial technical effects:

[0075] 1. Target areas can be screened in the surrounding areas of existing oil fields, and then the velocity structure data of the subsurface medium can be obtained by seismic exploration. By comparing and analyzing the data with known oil field data, potential oil and gas resources can be located. Through selective drilling and rock sample analysis, not only is the risk of blind exploration reduced, but exploration costs are also lowered, and the success rate of oil and gas resource discovery is improved.

[0076] 2. By acquiring and extracting surface topographic feature data of existing oilfields and surrounding areas, and using topographic feature extraction and comparison algorithms, the similarity between the topographic features of different regions and existing oil-producing areas can be quantitatively assessed, thereby achieving preliminary screening of exploration areas based on surface features.

[0077] 3. The terrain height value of the corresponding coordinates can be obtained from the terrain data to be processed by the positioning coordinate matrix formed by the same spacing, and the matrix can be transformed into a standardized terrain height matrix. This provides a standardized and digital basis for subsequent terrain feature comparison and analysis, improves the computational efficiency of terrain data processing, and provides a more objective and accurate technical means for terrain feature analysis in oil exploration. Attached Figure Description

[0078] Figure 1 This is a schematic diagram of a petroleum exploration method according to the present invention.

[0079] Figure 2 This is a schematic diagram of the principle of an oil exploration system according to the present invention. Detailed Implementation

[0080] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0081] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0082] refer to Figure 1 This invention provides a petroleum exploration method for conducting oil and gas exploration in the area surrounding existing oil-producing fields in order to discover new potential oil-producing areas.

[0083] The oil exploration method includes the following steps:

[0084] A1, to explore and identify target exploration areas where oil and gas resources may exist in the surrounding areas of the pre-defined existing oilfield area;

[0085] The existing oilfield area refers to the location of oilfields that are currently producing oil normally.

[0086] The surrounding area refers to the area adjacent to the existing oilfield area;

[0087] The target exploration area is an area with potential oil production determined by exploration and analysis of the surrounding area of ​​the existing oilfield. The target exploration area can be selected by professionals based on topographic data analysis, or it can be selected by a certain topographic matching algorithm.

[0088] Since adjacent areas of existing oilfields typically share similar geological histories, may have similar rock characteristics, and have continuous oil-forming conditions (such as sedimentary environment and tectonic setting), the existence of existing oilfields means that the surrounding areas may have similar oil and gas resource potential. Therefore, exploration can be conducted in the surrounding areas of existing oilfields to improve the accuracy of oil and gas exploration.

[0089] A2, within the target exploration area, the corresponding underground medium velocity structure data are obtained by measuring using a pre-set seismic exploration method;

[0090] Seismic exploration is a relatively mature existing exploration method. It involves artificially inducing earthquakes and collecting seismic waves with instruments to detect the properties and structure of underground rock strata.

[0091] The velocity structure data of the subsurface medium in the exploration area is the depth-based seismic wave velocity data of the subsurface medium corresponding to the target exploration area.

[0092] A3. Based on the comparison of existing oilfield rock samples and existing oilfield subsurface medium velocity structure data in the existing oilfield area, determine the subsurface medium information data of the exploration area corresponding to the subsurface medium velocity structure data of the exploration area.

[0093] The existing oilfield rock samples are rock samples that were previously collected in the existing oilfield area;

[0094] The existing subsurface medium velocity structure data of the oilfield is seismic wave velocity data of the subsurface medium obtained from measurements previously conducted in the existing oilfield area;

[0095] The subsurface medium information data for the exploration area includes estimated information and data on the rock type of the subsurface medium based on depth in the target exploration area;

[0096] By using existing oilfield rock samples and underground medium velocity structure data, we can determine the seismic wave velocities corresponding to various types of rock strata. Since the existing oilfield area is adjacent to the target exploration area, there are similarities in the types or structures of underground rock strata. By comparing the underground structure of the target exploration area with the existing oilfield rock samples and underground medium velocity structure data, we can make a qualitative judgment on the type of underground medium in the target exploration area.

[0097] A4. Select drilling locations and collect rock samples from the exploration area based on the underground medium information data of the exploration area.

[0098] The rock samples from the exploration area are rock samples collected from the target exploration area;

[0099] Based on the information data of the underground medium in the exploration area, professionals can analyze the data or use specific algorithms to select suitable drilling locations to drill and collect rock samples.

[0100] A5, Determine the corresponding rock sample characteristic data of the exploration area based on the analysis of rock samples from the exploration area;

[0101] Rock sample characteristic data of the exploration area are information about rock samples in the exploration area, such as rock type at each depth, formation age, whether it is a source rock, and corresponding parameters such as organic matter abundance, maturity, total organic carbon, chloroform bitumen A, etc., which can be determined by laboratory analysis of rock samples.

[0102] A6. Analyze and evaluate the underground oil content of the target exploration area based on the information data of the underground medium in the exploration area and the characteristic data of rock samples in the exploration area;

[0103] The underground oil content is a preliminary estimate of the oil and gas resources in the target exploration area. It can be determined by professionals or specific analysis algorithms by comparing and analyzing the underground medium information data and rock sample characteristic data of the exploration area.

[0104] By combining information data on the underground media in the exploration area and the characteristic data of rock samples in the exploration area, the distribution of various types of rocks and source rocks in the target exploration area can be predicted, and a preliminary judgment on the distribution of oil and gas resources can be made.

[0105] Through the above steps, the oil exploration method can screen target areas in the surrounding areas of existing oil fields, obtain underground medium velocity structure data using seismic exploration, and locate potential oil and gas resources by comparing and analyzing data with known oil field data. Through selective drilling and rock sample analysis, it not only reduces the risk of blind exploration but also lowers exploration costs and improves the success rate of oil and gas resource discovery.

[0106] Furthermore, the oil exploration method further includes the following steps for determining the target exploration area:

[0107] A101, Obtain existing oilfield surface topography data for the existing oilfield area;

[0108] Existing oilfield surface topographic data refers to the surface topographic data of the existing oilfield area that has been surveyed in advance or obtained through existing shared databases, such as DEM digital elevation model, DTM digital terrain model, DSM digital surface model and other model data that can reflect the topography.

[0109] A102, Based on the existing oilfield surface topography data, the corresponding existing oilfield topography feature data is generated by using a preset topography feature extraction algorithm;

[0110] The terrain feature extraction algorithm is a pre-defined feature extraction algorithm used to extract feature data from terrain data;

[0111] The existing oilfield topographic feature data are the feature data corresponding to the existing oilfield surface topographic data.

[0112] A103, selects multiple corresponding target selection areas in the surrounding area of ​​the existing oilfield area based on the preset exploration selection range;

[0113] The exploration selection range is a pre-defined geographical area size used to determine the size of the target selection area;

[0114] The target selection area is the selected region used for analysis and judgment to determine whether further exploration should be carried out.

[0115] A104, Obtain the surface topography data of the selected area of ​​the target selection region;

[0116] The selected area terrain data refers to the terrain data of the surface corresponding to the selected area for each target. This data can be obtained through specific equipment or through the corresponding terrain database.

[0117] A105, based on the surface topography data of each selected area, the corresponding topography feature data of the selected area is extracted and generated using a topography feature extraction algorithm;

[0118] Selecting regional terrain feature data refers to selecting the feature data corresponding to the surface terrain data of the selected region.

[0119] A106, calculate the corresponding terrain feature similarity based on the terrain feature data of each selected area and the existing oilfield terrain feature data using a preset terrain feature comparison algorithm;

[0120] The terrain feature comparison algorithm is a pre-defined algorithm used to compare and calculate the similarity between two sets of feature data. For example, the cosine similarity can be calculated based on the feature vectors of the two sets of feature data.

[0121] Topographic feature similarity is the degree of similarity between the selected area's topographic feature data and existing oilfield topographic feature data.

[0122] A107 defines the target exploration area as the target area corresponding to the terrain feature data of the selected area with the highest terrain feature similarity.

[0123] Prioritize areas with the highest similarity in terrain features as target exploration areas for further exploration.

[0124] Through the above steps, the oil exploration method can acquire and extract surface topographic feature data of existing oil fields and surrounding areas, and use topographic feature extraction and comparison algorithms to quantitatively assess the similarity between the topographic features of different areas and existing oil-producing areas, thereby achieving preliminary screening of exploration areas based on surface features.

[0125] Furthermore, the terrain feature extraction algorithm includes the following steps:

[0126] B1, determine the corresponding positioning coordinate matrix in the preset terrain data to be processed at preset intervals;

[0127] The interval distance is a preset distance between geographical locations, used to select each positioning coordinate point at an appropriate interval;

[0128] The terrain data to be processed is the terrain data that requires terrain feature extraction, such as the selected area terrain feature data and the existing oilfield terrain feature data mentioned above.

[0129] The positioning coordinate matrix is ​​a matrix of multiple positioning coordinates forming coordinate points on the terrain data to be processed at equal intervals.

[0130] B2, determine the corresponding coordinate height based on each positioning coordinate in the positioning coordinate matrix and the terrain data to be processed;

[0131] The coordinate height is the height value of each positioning coordinate in the positioning coordinate matrix at the same coordinate position on the terrain data to be processed. It can be a relative height value or an altitude value, etc.

[0132] B3, combine the positioning coordinate matrix and coordinate height to generate the corresponding terrain height matrix;

[0133] The terrain height matrix is ​​a matrix formed by combining the height coordinates corresponding to each positioning coordinate in the positioning coordinate matrix.

[0134] B4 defines the terrain height matrix as terrain feature data.

[0135] The terrain height matrix can comprehensively reflect the terrain height at various points in the terrain data to be processed, and can be used as feature data to reflect terrain features.

[0136] Through the above steps, the oil exploration method can obtain the corresponding terrain height value on the terrain data to be processed by a positioning coordinate matrix formed by the same spacing, and transform it into a standardized terrain height matrix. This provides a standardized and digital basis for subsequent terrain feature comparison and analysis, improves the computational efficiency of terrain data processing, and provides a more objective and accurate technical means for terrain feature analysis in oil exploration.

[0137] Furthermore, the terrain feature comparison algorithm includes the following steps:

[0138] C1, Generates a grayscale map of the selected area's terrain features using a preset image generation algorithm;

[0139] The image generation algorithm is a pre-defined algorithm used to generate corresponding images based on terrain feature data. For example, it can map each height value to each pixel in the corresponding image according to its position based on the terrain height matrix corresponding to the terrain feature data, and set the corresponding pixel grayscale value according to the height value.

[0140] The selected area terrain grayscale image is a grayscale value generated by an image generation algorithm from the terrain feature data of the selected area.

[0141] C2, Generates a grayscale map of the existing oilfield terrain based on existing oilfield terrain feature data using an image generation algorithm;

[0142] The existing oilfield terrain grayscale map is a grayscale value generated by an image generation algorithm from existing oilfield terrain feature data.

[0143] The selected area topographic feature data and the existing oilfield topographic feature data are converted into topographic grayscale images. This facilitates subsequent algorithm comparison of image similarity and allows staff to refer to and compare topographic images to assist in similarity analysis.

[0144] C3, calculate the corresponding terrain image similarity based on the selected area terrain grayscale map and the existing oilfield terrain grayscale map using a preset image similarity algorithm;

[0145] Image similarity algorithms are pre-defined algorithms used to compare and calculate the degree of similarity between two images. There are various image similarity algorithms, such as the mean squared error (MSE) algorithm, the structural similarity algorithm (SSIM) algorithm, or further vectorizing the images and then calculating the corresponding cosine similarity.

[0146] The terrain image similarity is the similarity value between the grayscale map of the selected area and the grayscale map of the existing oilfield terrain.

[0147] C4 defines terrain image similarity as terrain feature similarity.

[0148] Topographic feature similarity, or topographic image similarity, reflects the degree of similarity between the grayscale topographic map of the selected area and the grayscale topographic map of the existing oilfield.

[0149] Through the above steps, the oil exploration method can transform topographic feature data into visualized and computable grayscale images, and use image similarity algorithms for quantitative comparison. This not only overcomes the subjective and empirical limitations of traditional geological feature comparison, but also significantly improves the objectivity and accuracy of regional geological feature matching, thereby reducing exploration costs and increasing the probability of oil and gas resource discovery.

[0150] Furthermore, the oil exploration method further includes the following steps for determining the drilling location:

[0151] A401 generates corresponding three-dimensional model data of the underground medium in the exploration area based on the information data of the underground medium in the exploration area.

[0152] The three-dimensional model data of the underground medium in the exploration area is the three-dimensional model data of the rock strata in the target exploration area, which can comprehensively and three-dimensionally reflect the structural information of the underground rock strata.

[0153] A402 uses preset drilling depths and preset drilling diameters to simulate drilling at various locations in the three-dimensional model data of the underground medium in the exploration area to obtain corresponding simulated rock sample medium data.

[0154] The drilling depth and diameter are pre-set drilling parameters for drilling to obtain rock samples, which can be set by staff according to actual needs and experience;

[0155] Simulated rock sample media data refers to the information data of rock samples of the underground medium at the corresponding location determined by the three-dimensional model data of the underground medium in the exploration area through simulated drilling. In other words, it is the information data of each layer of underground medium from the surface to the corresponding depth at the corresponding location during simulated drilling.

[0156] A403, obtain the simulated rock sample medium structure velocity data corresponding to the simulated rock sample medium data from the underground medium velocity structure data of the exploration area;

[0157] The simulated rock sample medium structure velocity data is the depth-based seismic wave velocity structure data corresponding to the simulated rock sample medium data and the underground medium velocity structure data in the exploration area.

[0158] A404, based on existing oilfield rock samples and existing oilfield subsurface medium velocity structure data, determine the corresponding source rock structure velocity range;

[0159] The range of source rock structure velocity is the range of seismic wave velocities corresponding to source rocks in existing oilfield rock samples;

[0160] Based on the pre-analyzed existing oilfield rock samples, the depth location data corresponding to the source rocks can be obtained. The seismic wave velocity data at the corresponding depth location can be determined by comparing the corresponding depth location data with the existing oilfield subsurface medium velocity structure data. Then, the seismic wave velocity range of the source rocks in the existing oilfield rock samples can be statistically obtained. Since the target exploration area and the existing oilfield area are adjacent areas with a high degree of similarity in subsurface structure, the source rocks in the target exploration area can be determined by comparing the velocity range of the source rock structure in the existing oilfield rock samples.

[0161] A405, calculate the estimated proportion of source rock in the media data of each simulated rock sample based on the velocity range of the source rock structure;

[0162] The estimated proportion of source rocks is the estimated proportion of source rocks in the simulated rock sample medium data. By statistically analyzing the proportion of seismic wave velocities falling within the range of source rock structure velocity in the simulated rock sample medium structure velocity data, the estimated proportion of source rocks in the simulated rock sample medium data can be estimated.

[0163] A406 defines the simulated rock sample with the largest estimated proportion of source rocks as the best simulated rock sample;

[0164] The best simulated rock sample is the simulated rock sample medium data with the largest estimated proportion of source rocks, reflecting that the source rock content of the simulated rock sample medium data may be the highest. If subsequent drilling and sampling are carried out, the source rock characteristics of the target exploration area can be analyzed more comprehensively.

[0165] A407 defines the location coordinates corresponding to the best simulated rock sample as the drilling location;

[0166] The drilling location is the location coordinate corresponding to the best simulated rock sample.

[0167] Through the above steps, the oil exploration method can construct a three-dimensional model of the underground medium and simulate boreholes at different locations in the model. By analyzing the velocity and structure data of rock samples at each simulated borehole location and referring to the existing source rock structure and velocity range of oilfields, the estimated proportion of source rock at each simulated location can be calculated. This not only reduces the blindness and randomness of traditional drilling but also significantly improves the success rate of drilling location selection and resource acquisition efficiency.

[0168] Furthermore, the oil exploration method further includes the following steps:

[0169] D1. Obtain the corresponding drilling rock sample velocity structure data based on the drilling location of the rock sample in the exploration area and the velocity structure data of the underground medium in the exploration area.

[0170] The drilling rock sample velocity structure data is the seismic wave velocity structure data of the rock sample in the exploration area corresponding to the drilling location in the velocity structure data of the underground medium in the exploration area. That is, the seismic wave velocity structure data of the rock sample in the exploration area before it was drilled and collected.

[0171] D2, based on the analysis of rock samples from the exploration area, determine the corresponding source rock depth range data and TOC content depth data;

[0172] The source rock depth range data is the depth range corresponding to the source rocks in the rock samples of the exploration area, that is, the collection of source rock depth data contained in the rock samples of the exploration area;

[0173] TOC content depth data is a collection of data on the total organic carbon content of source rocks at various depths. The total organic carbon content of source rocks at each depth can be determined through laboratory analysis.

[0174] D3, determine the corresponding source rock velocity structure data based on the source rock depth range data and drilled rock sample velocity structure data;

[0175] Hydrocarbon source rock velocity structure data refers to the velocity structure data of seismic waves corresponding to the source rocks at various depths in the rock samples of the exploration area. The corresponding data can be obtained from the velocity structure data of the drilled rock samples based on the same depth by using the source rock depth range data.

[0176] D4. Based on TOC content depth data and source rock velocity structure data, corresponding seismic wave velocity TOC content comparison data are generated.

[0177] The seismic wave velocity-TOC content comparison data is a comparison of the seismic wave velocity and total organic carbon (TOC) content of the underground medium rock strata. By obtaining the seismic wave velocity at the same depth from the TOC content depth data and the source rock velocity structure data, the seismic wave velocity-TOC content comparison data can be generated to reflect the seismic wave velocity corresponding to source rocks with different TOC contents.

[0178] D5, based on the combination of seismic wave velocity TOC content comparison data and underground medium velocity structure data of the exploration area, generates the distribution data of underground oil generation potential in the exploration area;

[0179] The data on the distribution of underground oil generation potential in the exploration area reflects the distribution of oil production potential in source rock strata at various underground depths.

[0180] By matching the seismic wave velocity with the TOC content in the velocity structure data of the underground medium in the exploration area, the TOC content of the source rocks at each depth can be estimated, thereby estimating the oil generation potential of the source rocks in each stratum and thus achieving the assessment of the oil generation potential of the underground strata in the exploration area.

[0181] Through the above steps, the oil exploration method can construct a comparison data of seismic wave velocity and TOC content by using drilling rock sample velocity structure data, source rock depth range, and TOC content depth data, and finally generate underground oil generation potential distribution data of the exploration area. This overcomes the limitations of qualitative assessment in traditional oil exploration, and can also provide objective and quantitative resource distribution maps, improving the success rate of oil exploration, reducing exploration costs, and providing effective data support for oil and gas resource assessment and development.

[0182] Furthermore, the oil exploration method further includes the following steps:

[0183] E1, Generate a three-dimensional model of the underground oil potential distribution in the exploration area based on the data on the distribution of underground oil potential in the exploration area;

[0184] The three-dimensional model of the underground oil generation potential distribution in the exploration area is a three-dimensional digital model generated based on the data of the underground oil generation potential distribution in the exploration area.

[0185] E2, based on the preset statistical depth and the three-dimensional model of the distribution of underground oil generation potential in the exploration area, accumulates the TOC content value of each positioning coordinate to generate the positioning underground TOC content data.

[0186] The statistical depth is a preset depth value used to limit the depth range;

[0187] The local TOC content data is a dataset of the cumulative TOC content values ​​of all source rocks from the surface to the statistical depth range at each local coordinate.

[0188] E3: Based on the positioning coordinates, the underground TOC content data is mapped to the selected area surface topography data of the target exploration area to generate surface mapping data of underground oil generation potential.

[0189] The surface mapping data of underground oil generation potential is a dataset that accumulates the TOC content of source rocks in the medium rock layer directly below the surface location coordinates and maps it to the surface location coordinates.

[0190] E4, Generate the corresponding surface mapping map of underground oil generation potential based on the surface mapping data of underground oil generation potential;

[0191] The surface mapping map of underground oil potential is a two-dimensional image data corresponding to the surface mapping data of underground oil potential. It can mark the corresponding underground TOC cumulative content on the surface topographic image and can be used to intuitively show the topography of the target exploration area and the corresponding underground oil potential, so as to help staff determine the mining location.

[0192] Through the above steps, the oil exploration method can construct a three-dimensional model of underground oil potential distribution, accumulate TOC content at a preset statistical depth, and map complex underground data onto surface topography to generate an intuitive surface mapping map of underground oil potential. This provides decision-makers with more intuitive and scientific resource assessment data, improving the data transparency and decision-making efficiency of oil exploration.

[0193] The present invention also provides an oil exploration system, comprising:

[0194] Topographic mapping module 10;

[0195] Seismic exploration module 20;

[0196] Rock sampling module 30;

[0197] Rock Analysis Module 40;

[0198] Data processing module 50;

[0199] The topographic mapping module 10, the seismic exploration module 20, the rock sampling module 30, and the rock analysis module 40 are respectively connected to the data processing module 50.

[0200] The oil exploration system further includes an oil exploration strategy, comprising the following steps:

[0201] F1, in the area surrounding the pre-set existing oilfield area, the topographic mapping module 10 is used to explore and determine the target exploration area where oil and gas resources may exist;

[0202] F2, within the target exploration area, obtains the corresponding underground medium velocity structure data of the exploration area through the seismic exploration module 20;

[0203] F3, the data processing module 50 determines the exploration area underground medium information data corresponding to the underground medium velocity structure data of the exploration area by comparing the existing oilfield rock samples and the existing oilfield underground medium velocity structure data of the existing oilfield area.

[0204] F4. Select the drilling location based on the underground medium information data of the exploration area and collect rock samples of the exploration area through the rock sampling module 30.

[0205] F5, the rock analysis module 40 determines the corresponding rock sample characteristic data of the exploration area based on the rock sample analysis of the exploration area;

[0206] F6 analyzes and evaluates the underground oil content of the target exploration area based on the information data of the underground medium and the characteristic data of the rock samples in the exploration area.

[0207] The terrain mapping module 10 is mainly used to perform terrain mapping to obtain terrain data for the corresponding area.

[0208] The seismic exploration module 20 is mainly used to collect seismic waves in order to obtain seismic wave velocity structure data of the subsurface medium in the corresponding area.

[0209] The rock sampling module 30 is mainly used for drilling to collect rock samples for further analysis;

[0210] The rock analysis module 40 is mainly used to analyze various characteristics of rock samples in order to determine whether underground rock formations have oil production potential.

[0211] The data processing module 50 is mainly used to process data from various aspects.

[0212] Through the above technical solutions, the oil exploration system can screen target areas in the surrounding areas of existing oil fields, obtain underground medium velocity structure data using seismic exploration, and locate potential oil and gas resources by comparing and analyzing data with known oil field data. Through selective drilling and rock sample analysis, it not only reduces the risk of blind exploration but also lowers exploration costs and improves the success rate of oil and gas resource discovery.

[0213] Based on the same inventive concept, the present invention also provides a smart terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed by the above-described petroleum exploration method.

[0214] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.

Claims

1. A method for oil exploration, characterized in that, Includes the following steps: A1, to conduct surveys in the surrounding areas of the pre-defined existing oilfield area to identify target exploration areas where oil and gas resources may exist; A2, within the target exploration area, the corresponding underground medium velocity structure data are obtained by measuring using a pre-set seismic exploration method; A3. Based on the comparison of existing oilfield rock samples and existing oilfield subsurface medium velocity structure data, determine the subsurface medium information data of the exploration area corresponding to the subsurface medium velocity structure data of the exploration area. A4. Select drilling locations and collect rock samples from the exploration area based on the underground medium information data of the exploration area. A5, Determine the corresponding rock sample characteristic data of the exploration area based on the analysis of rock samples from the exploration area; A6. Analyze and evaluate the underground oil content of the target exploration area based on the information data of the underground medium in the exploration area and the characteristic data of rock samples in the exploration area; Further steps are included for identifying the target exploration area: A101, Obtain existing oilfield surface topography data for the existing oilfield area; A102, Based on the existing oilfield surface topography data, the corresponding existing oilfield topography feature data is generated by using a preset topography feature extraction algorithm; A103, selects multiple corresponding target selection areas in the surrounding area of ​​the existing oilfield area based on the preset exploration selection range; A104, Obtain the surface topography data of the selected area of ​​the target selection region; A105, based on the surface topography data of each selected area, the corresponding topography feature data of the selected area is extracted and generated using a topography feature extraction algorithm; A106, calculate the corresponding terrain feature similarity based on the terrain feature data of each selected area and the existing oilfield terrain feature data using a preset terrain feature comparison algorithm; A107 defines the target exploration area as the target area corresponding to the terrain feature data of the selected area with the highest terrain feature similarity. The terrain feature extraction algorithm includes the following steps: B1, determine the corresponding positioning coordinate matrix in the preset terrain data to be processed at preset intervals; B2, determine the corresponding coordinate height based on each positioning coordinate in the positioning coordinate matrix and the terrain data to be processed; B3, combine the positioning coordinate matrix and coordinate height to generate the corresponding terrain height matrix; B4 defines the terrain height matrix as terrain feature data; The terrain feature comparison algorithm includes the following steps: C1, Generates a grayscale map of the selected area's terrain features using a preset image generation algorithm; C2, Generates a grayscale map of the existing oilfield terrain based on existing oilfield terrain feature data using an image generation algorithm; C3, calculate the corresponding terrain image similarity based on the selected area terrain grayscale map and the existing oilfield terrain grayscale map using a preset image similarity algorithm; C4, define terrain image similarity as terrain feature similarity; Further steps are included for determining the drilling location: A401 generates corresponding three-dimensional model data of the underground medium in the exploration area based on the information data of the underground medium in the exploration area. A402 uses preset drilling depths and preset drilling diameters to simulate drilling at various locations in the three-dimensional model data of the underground medium in the exploration area to obtain corresponding simulated rock sample medium data. A403, obtain the simulated rock sample medium structure velocity data corresponding to the simulated rock sample medium data from the underground medium velocity structure data of the exploration area; A404, based on existing oilfield rock samples and existing oilfield subsurface medium velocity structure data, determine the corresponding source rock structure velocity range; A405, calculate the estimated proportion of source rock in the media data of each simulated rock sample based on the velocity range of the source rock structure; A406 defines the simulated rock sample with the largest estimated proportion of source rocks as the best simulated rock sample; A407 defines the location coordinates corresponding to the best simulated rock sample as the drilling location; Further steps include: D1, based on the drilling location of the rock samples in the exploration area and the velocity structure data of the underground medium in the exploration area, obtain the corresponding drilling rock sample velocity structure data; D2, based on the analysis of rock samples from the exploration area, determine the corresponding source rock depth range data and TOC content depth data; D3, determine the corresponding source rock velocity structure data based on the source rock depth range data and drilled rock sample velocity structure data; D4. Based on TOC content depth data and source rock velocity structure data, corresponding seismic wave velocity TOC content comparison data are generated. D5 generates underground oil generation potential distribution data for the exploration area by combining seismic wave velocity TOC content comparison data and underground medium velocity structure data of the exploration area.

2. The oil exploration method according to claim 1, characterized in that, Further steps include: E1, Generate a three-dimensional model of the underground oil potential distribution in the exploration area based on the data on the distribution of underground oil potential in the exploration area; E2, based on the preset statistical depth and the three-dimensional model of the distribution of underground oil generation potential in the exploration area, accumulates the TOC content value of each positioning coordinate to generate the positioning underground TOC content data. E3: Based on the positioning coordinates, the underground TOC content data is mapped to the selected area surface topography data of the target exploration area to generate surface mapping data of underground oil generation potential. E4 generates a corresponding surface mapping map of underground oil generation potential based on the surface mapping data of underground oil generation potential.

3. An oil exploration system, characterized in that, The system is used to implement the petroleum exploration method according to any one of claims 1-2, comprising: Topographic mapping module; Seismic exploration module; Rock sampling module; Rock Analysis Module; Data processing module; The topographic mapping module, the seismic exploration module, the rock sampling module, and the rock analysis module are all connected to the data processing module. The oil exploration system further includes an oil exploration strategy, comprising the following steps: F1, using the topographic mapping module, surveys the area surrounding a pre-defined existing oilfield area to determine potential oil and gas exploration areas; F2, within the target exploration area, obtains the corresponding subsurface medium velocity structure data through the seismic exploration module; F3, through the data processing module, the exploration area underground medium information data corresponding to the underground medium velocity structure data of the exploration area is determined by comparing the existing oilfield rock samples and the existing oilfield underground medium velocity structure data of the existing oilfield area. F4, selects drilling locations based on underground medium information data of the exploration area and collects rock samples of the exploration area through drilling using the rock sampling module; F5, the rock analysis module determines the corresponding rock sample characteristic data of the exploration area based on the analysis of rock samples in the exploration area; F6 analyzes and evaluates the underground oil content of the target exploration area based on the information data of the underground medium and the characteristic data of the rock samples in the exploration area.

4. A smart terminal, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed according to any one of claims 1 to 2.

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