Data processing method and device for stratigraphic structure map and readable storage medium
By acquiring stratigraphic maps and angular logging data, determining the locations of high points and saddles, and performing data correction processing, the problem of large deviations between stratigraphic maps and actual drilling in low-amplitude structural areas was solved, achieving higher data accuracy and precision.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA NAT PETROLEUM CORP
- Filing Date
- 2024-11-26
- Publication Date
- 2026-05-29
AI Technical Summary
In areas with low-amplitude oil and gas structures, existing seismic data do not reflect these structures well, resulting in significant discrepancies between structural maps and actual drilling data, and consequently, low data accuracy and precision.
By acquiring stratigraphic maps and angular logging data, the locations of high points and saddles are determined, and data correction processing is performed to improve the accuracy and precision of stratigraphic maps.
It improves the consistency between stratigraphic structural maps and actual strata, conforms to geological laws and reservoir understanding, and enhances the accuracy and precision of the data.
Smart Images
Figure CN122115634A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of data processing technology, and in particular to a data processing method, apparatus and readable storage medium for stratigraphic maps. Background Technology
[0002] Currently, in the interpretation and mapping of low-amplitude oil and gas-bearing structural areas, due to the poor reflection of low-amplitude structures by seismic data and the influence of time profile closure errors, structural maps often deviate significantly from actual drilling conditions.
[0003] To improve the accuracy of low-amplitude construction mapping, current methods include variable-speed construction mapping and low-frequency reduction construction mapping, but existing methods all suffer from technical problems such as low data accuracy and low precision. Summary of the Invention
[0004] This application provides a data processing method, apparatus, and readable storage medium for stratigraphic maps, which addresses technical problems such as low data accuracy and low data precision in the prior art.
[0005] A first aspect of this application provides a data processing method for stratigraphic maps, including:
[0006] Obtain the stratigraphic structure map of the formation to be tested, and obtain the angular logging data of the formation to be tested;
[0007] Based on the stratigraphic map, determine the high point location data corresponding to the stratum to be tested;
[0008] Based on the angle logging data and high point location data, determine the saddle location data of the formation to be tested;
[0009] Based on the saddle location data, the stratigraphic structure map is corrected to obtain an updated stratigraphic structure map.
[0010] The data processing method for the stratigraphic structure map in this embodiment determines the saddle position data corresponding to the stratum to be measured based on the angle logging data and high point position data. Then, based on the saddle position data, the stratigraphic structure map is corrected to obtain an updated stratigraphic structure map. This improves the consistency between the stratigraphic structure map and the actual strata, making it more consistent with geological laws and reservoir understanding, thereby improving the data accuracy and precision of the stratigraphic structure map.
[0011] A second aspect of this application provides a data processing apparatus for stratigraphic maps, comprising:
[0012] The acquisition unit is used to acquire the stratigraphic structure map of the formation to be tested and to acquire the angular logging data of the formation to be tested.
[0013] The processing unit is used to determine the high point location data corresponding to the stratum to be measured based on the stratigraphic structure map.
[0014] The processing unit is also used to determine the saddle position data of the formation to be tested based on the angle logging data and the high point position data;
[0015] The processing unit is also used to perform data correction processing on the stratigraphic structure map based on the saddle location data to obtain an updated stratigraphic structure map.
[0016] The data processing device for the stratigraphic structure map in this embodiment determines the saddle position data corresponding to the stratum to be measured based on the angle logging data and high point position data. Then, based on the saddle position data, the stratigraphic structure map is corrected to obtain an updated stratigraphic structure map, which improves the consistency between the stratigraphic structure map and the actual strata, and is more in line with geological laws and reservoir understanding, thereby improving the data accuracy of the stratigraphic structure map and its precision.
[0017] A third aspect of this application provides another data processing apparatus for stratigraphic maps, including a processor and a memory. The memory stores a computer program, which, when executed by the processor, implements the steps of the data processing method for stratigraphic maps as described in any of the above embodiments. Therefore, this data processing apparatus for stratigraphic maps possesses all the beneficial effects of the data processing method for stratigraphic maps in any of the above embodiments, and will not be elaborated further here.
[0018] A fourth aspect of this application provides a readable storage medium storing a program or instructions that, when executed by a processor, implement the steps of the data processing method for stratigraphic maps as described in any of the above embodiments. Therefore, this readable storage medium possesses all the beneficial effects of the data processing method for stratigraphic maps as described in any of the above embodiments, which will not be elaborated further here. Attached Figure Description
[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0020] Figure 1 A flowchart illustrating the data processing method for stratigraphic maps provided in this application embodiment;
[0021] Figure 2 One of the schematic diagrams of a data processing method for a stratigraphic structure map provided in an embodiment of this application;
[0022] Figure 3 A second schematic diagram illustrating the data processing method for stratigraphic maps provided in this application embodiment;
[0023] Figure 4 A third schematic diagram illustrating the data processing method for stratigraphic maps provided in this application embodiment;
[0024] Figure 5 Schematic diagram four of the data processing methods for stratigraphic maps provided in the embodiments of this application;
[0025] Figure 6 Fifth schematic diagram of the data processing method for stratigraphic structural maps provided in the embodiments of this application;
[0026] Figure 7 A schematic diagram (sixth) illustrating the data processing method for stratigraphic maps provided in this application embodiment;
[0027] Figure 8 Functional block diagram of the data processing device for the stratigraphic structure map provided in the embodiments of this application;
[0028] Figure 9 This is a structural block diagram of the data processing device for the stratigraphic structure map provided in the embodiments of this application. Detailed Implementation
[0029] To better understand the technical solutions provided in the embodiments of this specification, the technical solutions of the embodiments of this specification will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of this specification and the specific features in the embodiments are detailed descriptions of the technical solutions of the embodiments of this specification, rather than limitations on the technical solutions of this specification. In the absence of conflict, the embodiments of this specification and the technical features in the embodiments can be combined with each other.
[0030] In this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, without necessarily requiring or implying any such actual relationship or order between these entities or operations. Furthermore, 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 a process, method, article, or apparatus. Without further limitation, 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 said element. The term "two or more" includes two or more cases.
[0031] In some embodiments, such as Figure 1As shown, a data processing method for stratigraphic maps is proposed, including:
[0032] Step S101: Obtain the stratigraphic structure map of the formation to be tested, and obtain the angular logging data of the formation to be tested;
[0033] Step S102: Based on the stratigraphic structure map, determine the high point location data corresponding to the stratum to be tested;
[0034] Step S103: Determine the saddle position data of the formation to be tested based on the angle logging data and high point position data;
[0035] Step S104: Based on the saddle location data, perform data correction processing on the stratigraphic structure map to obtain an updated stratigraphic structure map.
[0036] In this embodiment, a data processing method for stratigraphic structural maps is provided, which obtains the stratigraphic structural map of the stratum to be measured and simultaneously obtains the angular logging data of the stratum to be measured. The stratum to be measured is the target stratum to be processed, the stratigraphic structural map is the structural map corresponding to the stratum to be measured, and the angular logging data represents the angle between the stratum to be measured and the horizontal plane.
[0037] For example, the stratigraphic structure map can be the initial structural map of the strata to be tested.
[0038] For example, the angle logging data may include the dip angle and azimuth angle of the formation to be measured. The dip angle is the angle between the top dip surface of the formation and the horizontal plane, and the azimuth angle is the angle between the maximum horizontal projection dip rate and the true north pole.
[0039] Based on the stratigraphic map, the location data of the high points corresponding to the strata to be tested are determined. The high point location data refers to the location data of the highest points in the region where the strata to be tested is located.
[0040] For example, the high point location data is the coordinate data of the highest point in the area where the stratum to be measured is located.
[0041] Based on the angle logging data and high point location data, the location data of the saddle corresponding to the stratum to be tested is determined. Among them, the saddle location data is the location data of the saddle in the area where the stratum to be tested is located.
[0042] For example, the saddle location data is the coordinate data of the saddle in the area where the stratum to be measured is located.
[0043] Based on the saddle location data, the stratigraphic structure map is corrected to obtain an updated stratigraphic structure map, which is the corrected stratigraphic structure map.
[0044] For example, saddle position data includes saddle position and saddle depth.
[0045] It should be noted that this embodiment uses human-computer interaction to correct the stratigraphic structure map based on the saddle location and saddle depth, thereby obtaining a comprehensive structural map, namely the updated stratigraphic structure map, which improves the consistency between the stratigraphic structure map and the actual strata, and is more in line with geological laws and reservoir understanding.
[0046] The data processing method for the stratigraphic structure map in this embodiment determines the saddle position data corresponding to the stratum to be measured based on the angle logging data and high point position data. Then, based on the saddle position data, the stratigraphic structure map is corrected to obtain an updated stratigraphic structure map. This improves the consistency between the stratigraphic structure map and the actual strata, making it more consistent with geological laws and reservoir understanding, thereby improving the data accuracy and precision of the stratigraphic structure map.
[0047] In some embodiments, determining the high point location data corresponding to the stratum to be measured based on the stratigraphic structure map includes:
[0048] Step S201: Based on the stratigraphic structure map, determine the first well point and the second well point corresponding to the stratum to be tested, wherein the first well point and the second well point are well points corresponding to adjacent high points;
[0049] Step S202: Determine the high point location data based on the coordinate data of the first well point and the coordinate data of the second well point.
[0050] In this embodiment, based on the stratigraphic structure map, the first well point and the second well point in the area where the stratum to be measured is located are determined, wherein the first well point and the second well point are well points corresponding to adjacent high points.
[0051] For example, the first well point and the second well point are well points in the region where the stratum to be measured is located, and are located at two adjacent high points in the region.
[0052] For example, the first well point and the second well point can be test well points.
[0053] Obtain the coordinate data of the first well point and the second well point to determine the high point location data corresponding to the formation to be tested.
[0054] For example, the coordinate data of the first well point and the coordinate data of the second well point are used as the high point position data corresponding to the formation to be measured.
[0055] The data processing method for the stratigraphic structure map in this embodiment determines the first and second well points corresponding to the stratum to be measured, and then obtains the coordinate data of the first and second well points to obtain the high point position data corresponding to the stratum to be measured. This improves the accuracy of the high point position data, thereby improving the data accuracy of the stratigraphic structure map and enhancing the data precision of the stratigraphic structure map.
[0056] In some embodiments, determining the saddle location data of the formation to be tested based on angular logging data and high-point location data includes:
[0057] Step S301: Determine the first horizontal distance between the first well point and the second well point based on the first location information and the second location information;
[0058] Step S302: Based on the first location information, determine the first vertical distance between the first well point and the formation to be tested, and based on the second location information, determine the second vertical distance between the second well point and the formation to be tested.
[0059] Step S303: Obtain the angle between the target layer and the formation to be tested where the first well point is located, and obtain the first angle; and obtain the angle between the target layer and the formation to be tested where the second well point is located, and obtain the second angle.
[0060] Step S304: Determine the saddle position data based on the first included angle, the second included angle, the first vertical distance, the second vertical distance, the first horizontal distance, and the ground dip angle.
[0061] In this embodiment, the high point location data includes first location information of a first well point and second location information of a second well point, wherein the first location information is the location information of the first well point and the second location information is the location information of the second well point.
[0062] Angle logging data includes the dip angle of the formation, which represents the angle between the formation being measured and the horizontal plane.
[0063] For example, the first location information may include the location coordinates of the first well point, and the second location information may include the location coordinates of the second well point.
[0064] Based on the first location information and the second location information, the first horizontal distance between the first well point and the second well point is determined.
[0065] For example, the first horizontal distance is determined based on the horizontal coordinates in the first location information and the horizontal coordinates in the second location information.
[0066] Based on the first location information, the first vertical distance between the first well point and the formation to be measured is determined, and based on the second location information, the second vertical distance between the second well point and the formation to be measured is determined.
[0067] For example, the first vertical distance between the first well point and the formation to be measured is determined based on the vertical coordinates in the first location information.
[0068] For example, the second vertical distance between the second well point and the formation to be measured is determined based on the vertical coordinates in the second location information.
[0069] Obtain the angle between the target layer and the formation to be tested at the first well point to obtain the first angle, and obtain the angle between the target layer and the formation to be tested at the second well point to obtain the second angle.
[0070] For example, based on the stratigraphic structure map, the angle between the target layer where the first well point is located and the layer to be measured is obtained, thus obtaining the first angle.
[0071] For example, based on the stratigraphic structure map, the angle between the target layer where the second well point is located and the layer to be measured is obtained, thus obtaining the second angle.
[0072] The saddle position data is obtained by performing data calculations on the first included angle, the second included angle, the first vertical distance, the second vertical distance, the first horizontal distance, and the ground dip angle.
[0073] The data processing method for the stratigraphic structure map in this embodiment obtains saddle location data by performing data calculations on the first included angle, the second included angle, the first vertical distance, the second vertical distance, the first horizontal distance, and the dip angle of the ground surface. This improves the accuracy of the saddle location data, thereby improving the accuracy of the stratigraphic structure map data and enhancing its precision.
[0074] In some embodiments, the saddle position data is determined based on a first included angle, a second included angle, a first vertical distance, a second vertical distance, a first horizontal distance, and the ground dip angle, including:
[0075] Step S401: Determine the first relationship formula based on the first included angle, the dip angle of the ground surface, and the first vertical distance;
[0076] Step S402: Determine the second relationship formula based on the first horizontal distance, the second included angle, the ground surface dip angle, and the second vertical distance;
[0077] Step S403: Based on the first relational formula and the second relational formula, determine the second horizontal distance and burial depth.
[0078] In this embodiment, the saddle position data includes a second horizontal distance between the saddle position and the first well point and the burial depth of the saddle position, wherein the second horizontal distance is the horizontal position between the saddle position and the first well point, and the burial depth is the distance between the horizontal position of the saddle position and the first well point.
[0079] Based on the first included angle, the dip angle of the ground surface, and the first vertical distance, a first relationship formula is determined, where the first relationship formula represents the relationship between the first included angle, the dip angle of the ground surface, and the first vertical distance.
[0080] Based on the first horizontal distance, the second included angle, the ground dip angle, and the second vertical distance, a second relationship formula is determined, which represents the relationship between the first horizontal distance, the second included angle, the ground dip angle, and the second vertical distance.
[0081] For example, the first relational formula is specifically as follows:
[0082] Z-Z1=X×tg(α-θ);
[0083] Where Z is the burial depth, Z1 is the first vertical distance, X is the second horizontal distance, tg is the tangent operation symbol, α is the first included angle, and θ is the dip angle of the ground surface.
[0084] For example, the second relational formula is specifically as follows:
[0085]
[0086] Where Z is the burial depth, Z2 is the second vertical distance, X is the second horizontal distance, and tg is the tangent operator. The second included angle is θ, the dip angle of the ground surface is θ, and the first horizontal distance is L.
[0087] Based on the first and second relational formulas, the second horizontal distance and burial depth are determined.
[0088] For example, such as Figure 2 As shown, A is the first well point, B is the second well point, D is the formation to be tested, Z is the burial depth, Z1 is the first vertical distance, Z2 is the second vertical distance, X is the second horizontal distance, and α is the first included angle. The second included angle is θ, the dip angle of the ground surface is θ, and the first horizontal distance is L.
[0089] For example, by deriving the first relational formula and the second relational formula, the calculation formulas for the second horizontal distance and burial depth are obtained.
[0090] The formula for calculating the second horizontal distance is:
[0091]
[0092] Where Z1 is the first vertical distance, Z2 is the second vertical distance, X is the second horizontal distance, tg is the tangent operator, and α is the first included angle. The second included angle is θ, the dip angle of the ground surface is θ, and the first horizontal distance is L.
[0093] The formula for calculating burial depth is:
[0094]
[0095] Where Z is the burial depth, Z1 is the first vertical distance, Z2 is the second vertical distance, X is the second horizontal distance, tg is the tangent operator, and α is the first included angle. The second included angle is θ, the dip angle of the ground surface is θ, and the first horizontal distance is L.
[0096] The data processing method for the stratigraphic structure map in this embodiment derives the calculation formulas for the second horizontal distance and burial depth by deriving the first and second relational formulas, thereby improving the accuracy of the second horizontal distance and burial depth data, and thus improving the data accuracy of the stratigraphic structure map, while also increasing the data precision of the stratigraphic structure map.
[0097] In some embodiments, acquiring angular logging data of the formation to be measured includes:
[0098] Step S501: Obtain the dip vector data corresponding to the stratum to be measured;
[0099] Step S502: Based on the dip vector data, determine the dip pattern of the stratum to be measured;
[0100] Step S503: When the formation dip mode is in green mode, determine the angle logging data based on the dip vector data.
[0101] In this embodiment, dip vector data corresponding to the stratum to be measured is obtained, wherein the dip vector data represents the dip vector of the stratum to be measured.
[0102] Data analysis is performed on the dip vector data to determine the dip pattern of the stratum to be measured, where the dip pattern is the dip pattern of the stratum to be measured.
[0103] For example, the stratigraphic dip pattern can be one of three types: the red pattern, where the dip angle increases with depth and the azimuth is relatively fixed, generally reflecting stratigraphic-lithologic oil and gas reservoir trap types such as faults, sandbars, channels, reefs, and unconformities; the green pattern, where the dip angle and azimuth do not change with depth, reflecting structural oil and gas reservoir trap types; and the blue pattern, where the dip angle decreases with depth and the azimuth is roughly the same, generally related to factors such as faults and unconformities.
[0104] When the formation dip pattern is in green mode, the angle logging data is determined based on the dip vector data.
[0105] For example, when the stratum dip pattern is green, the tectonic diagram can be verified and improved based on the tectonic dip.
[0106] The data processing method for the stratigraphic structure map in this embodiment, when the stratigraphic dip mode is in green mode, determines the angle logging data based on the dip vector data, thereby improving the accuracy of the angle logging data and thus improving the accuracy of the stratigraphic structure map data, while also increasing the data precision of the stratigraphic structure map.
[0107] In some embodiments, determining the formation dip pattern of the stratum to be measured based on dip vector data includes:
[0108] Step S601: Perform feature extraction processing on the dip angle vector data to obtain regional structural features;
[0109] Step S602: Determine the dip pattern of the strata to be tested based on the regional tectonic features.
[0110] In this embodiment, feature extraction processing is performed on the dip vector data to obtain the regional structural features corresponding to the stratum to be measured, wherein the regional structural features are the structural features of the region where the stratum to be measured is located.
[0111] Based on the regional tectonic characteristics, the dip angle model of the strata to be measured is determined.
[0112] For example, such as Figure 3 As shown, formation dip logging data is used to determine formation attitude, primarily employing long-contrast vector maps and azimuth frequency maps. When the quality of the formation dip data is good and the stratification of the formation is strong, the reservoir attitude is clear and exhibits strong regularity. Mudstone or siltstone deposited in low-energy environments generally displays a low-angle green pattern, while sandstone deposited in high-energy environments exhibits a high-angle red, blue, or chaotic pattern. In this case, the bedding dip and dip of the green pattern in mudstone or silty mudstone can represent the structural dip and dip of the strata.
[0113] The data processing method for stratigraphic structural maps in this embodiment determines the dip pattern of the strata to be measured based on the regional structural characteristics, thereby improving the accuracy of the determination of the dip pattern and thus improving the data accuracy and precision of the stratigraphic structural maps.
[0114] In some embodiments, the stratigraphic structure map is corrected based on saddle location data to obtain an updated stratigraphic structure map, including:
[0115] Step S701: Perform data conversion processing on the stratigraphic structure map to obtain the first structural plane data;
[0116] Step S702: Based on the saddle position data, perform data correction processing on the first structural plane data to obtain the second structural plane data;
[0117] Step S703: Based on the second structural plane data, determine the updated stratigraphic structural map.
[0118] In this embodiment, the stratigraphic structure map is processed by data conversion to obtain first structural plane data, wherein the first structural plane data is the structural plane data corresponding to the stratigraphic structure map.
[0119] Based on the saddle position data, the first structural plane data is corrected to obtain the second structural plane data, which is the corrected structural plane data.
[0120] Based on the second structural plane data, an updated stratigraphic structural map is determined.
[0121] For example, the second structural plane data is redrawn to obtain an updated stratigraphic structural map.
[0122] The data processing method for the stratigraphic structure map in this embodiment corrects the first structural plane data based on the saddle location data to obtain the second structural plane data. Then, based on the second structural plane data, an updated stratigraphic structure map is determined, which improves the data accuracy and precision of the stratigraphic structure map.
[0123] For example, taking a low-amplitude structural reservoir in a basin slope zone as an example, this technology was applied to correct the local structure of an oilfield.
[0124] The study area is located on a slope zone of a basin, with a structural depth of approximately 2900 meters, small trap size, and gentle dip angle. For such small structures with trap sizes of around 15 meters, current seismic data cannot accurately describe their geometry. However, the structural dip and dip angle of the reservoir can be determined using the green vector model of the mudstone section. This allows for the correction of the reservoir top surface structural map created using seismic data, making the structural morphology more accurate, consistent with objective reality, and reducing errors.
[0125] Three wells in this area have dip logging data. The dip angles of the mudstone sections, which are represented by the green pattern in the dip pattern, were processed using the long correlation method to obtain the dip and dip angle information of the three wells. Table 1 compares the structural dip angles obtained from seismic interpretation with those obtained from well logging processing. The table shows that the stratigraphic attitudes depicted on the seismic structural map are inconsistent with the actual structures.
[0126] Table 1
[0127]
[0128] like Figure 4As shown, the formation dip data from wells 1508 and 1502 indicate structural dips of 98.8 degrees and 303.3 degrees, respectively, with dip angles of 4.5 degrees and 2.7 degrees. However, the original structural map shows dips of 130.5 degrees and 218 degrees, with dip angles of 2.4 degrees and 1.0 degrees, respectively. This analysis suggests that the actual structural changes at this location are more dramatic than those interpreted seismically, with the high points located west of well 1508 and southeast of well 1502. Based on the dip data from these two wells and the oil-water interface analysis results, the structure was corrected. The results are shown in the figure; the red dashed line represents the structure before correction, and the black solid line represents the structure after correction, with the corrected structure exhibiting a larger amplitude. The trap size of the original structure was much smaller than the oil column height, indicating a contradiction in the oil-water relationship and inconsistent with the understanding of the reservoir. The corrected structural map not only resolves the contradiction in the oil-water relationship but also better reflects the geological regularity of the entire structure, demonstrating that the revised results more objectively reflect the actual structural changes.
[0129] like Figure 5 As shown, the formation dip data from well 1509 on the profile indicates a dip of 276.9 degrees and a dip angle of 3.3 degrees, while the original structural map shows a dip of 209 degrees and a dip angle of only 1.1 degrees. The structural map was corrected based on the dip data. The red dashed line represents the original structure, and the black solid line represents the corrected structure. The original structure could not resolve the inconsistency between the oil and water interfaces in this area. The corrected structure has a lower saddle, creating a barrier between the two reservoirs, resulting in two different oil-water interfaces, which is consistent with the well logging interpretation results.
[0130] In revising the structural plan, for areas without dip data, the oil-water relationship analysis results were considered in conjunction with those for areas with dip data, while referencing the structural trend. The structural plan before and after revision are shown below. Figure 6 and Figure 7 As shown, the revised construction diagram effectively resolves the contradiction in the oil-water relationship.
[0131] In some embodiments, such as Figure 8 As shown, an embodiment of this application provides a data processing apparatus 800 for stratigraphic structures, comprising:
[0132] The acquisition unit 802 is used to acquire the stratigraphic structure map of the stratum to be tested and to acquire the angular logging data of the stratum to be tested.
[0133] Processing unit 804 is used to determine the high point location data corresponding to the stratum to be tested based on the stratigraphic structure map;
[0134] The processing unit 804 is also used to determine the saddle position data of the formation to be tested based on the angle logging data and the high point position data;
[0135] The processing unit 804 is also used to perform data correction processing on the stratigraphic structure map based on the saddle location data to obtain an updated stratigraphic structure map.
[0136] In this embodiment, a data processing device 800 for stratigraphic structure maps is provided to acquire stratigraphic structure maps of the strata to be measured, and simultaneously acquire angular logging data of the strata to be measured. The strata to be measured is the target stratum to be processed, the stratigraphic structure map is the structural map corresponding to the strata to be measured, and the angular logging data represents the angle between the strata to be measured and the horizontal plane.
[0137] For example, the stratigraphic structure map can be the initial structural map of the strata to be tested.
[0138] For example, the angle logging data may include the dip angle and azimuth angle of the formation to be measured. The dip angle is the angle between the top dip surface of the formation and the horizontal plane, and the azimuth angle is the angle between the maximum horizontal projection dip rate and the true north pole.
[0139] Based on the stratigraphic map, the location data of the high points corresponding to the strata to be tested are determined. The high point location data refers to the location data of the highest points in the region where the strata to be tested is located.
[0140] For example, the high point location data is the coordinate data of the highest point in the area where the stratum to be measured is located.
[0141] Based on the angle logging data and high point location data, the location data of the saddle corresponding to the stratum to be tested is determined. Among them, the saddle location data is the location data of the saddle in the area where the stratum to be tested is located.
[0142] For example, the saddle location data is the coordinate data of the saddle in the area where the stratum to be measured is located.
[0143] Based on the saddle location data, the stratigraphic structure map is corrected to obtain an updated stratigraphic structure map, which is the corrected stratigraphic structure map.
[0144] For example, saddle position data includes saddle position and saddle depth.
[0145] It should be noted that this embodiment uses human-computer interaction to correct the stratigraphic structure map based on the saddle location and saddle depth, thereby obtaining a comprehensive structural map, namely the updated stratigraphic structure map, which improves the consistency between the stratigraphic structure map and the actual strata, and is more in line with geological laws and reservoir understanding.
[0146] The data processing device 800 for the stratigraphic structure map in this embodiment determines the saddle position data corresponding to the stratum to be measured based on the angle logging data and high point position data. Then, based on the saddle position data, the stratigraphic structure map is corrected to obtain an updated stratigraphic structure map, which improves the consistency between the stratigraphic structure map and the actual strata, and is more in line with geological laws and reservoir understanding, thereby improving the data accuracy of the stratigraphic structure map and its precision.
[0147] In some embodiments, a data processing apparatus 800 for stratigraphic maps is provided, further comprising:
[0148] The processing unit 804 is also used to determine the first well point and the second well point corresponding to the stratum to be tested based on the stratigraphic structure map, wherein the first well point and the second well point are well points corresponding to adjacent high points;
[0149] The processing unit 804 is also used to determine the high point position data based on the coordinate data of the first well point and the coordinate data of the second well point.
[0150] In some embodiments, a data processing apparatus 800 for stratigraphic maps is provided, further comprising:
[0151] The processing unit 804 is further configured to determine a first horizontal distance between the first well point and the second well point based on the first position information and the second position information;
[0152] The processing unit 804 is further configured to determine a first vertical distance between a first well point and the formation to be tested based on the first location information, and to determine a second vertical distance between a second well point and the formation to be tested based on the second location information.
[0153] The processing unit 804 is also used to obtain the angle between the target layer where the first well point is located and the formation to be tested, to obtain the first angle, and to obtain the angle between the target layer where the second well point is located and the formation to be tested, to obtain the second angle;
[0154] The processing unit 804 is also used to determine the saddle position data based on the first included angle, the second included angle, the first vertical distance, the second vertical distance, the first horizontal distance and the angle logging data.
[0155] In some embodiments, a data processing apparatus 800 for stratigraphic maps is provided, further comprising:
[0156] The processing unit 804 is also used to determine the first relationship formula based on the first included angle, the angle logging data and the first vertical distance;
[0157] The processing unit 804 is also used to determine a second relationship formula based on the first horizontal distance, the second included angle, the angle logging data, and the second vertical distance;
[0158] The processing unit 804 is also used to determine the second horizontal distance and burial depth based on the first relational formula and the second relational formula.
[0159] In some embodiments, a data processing apparatus 800 for stratigraphic maps is provided, further comprising:
[0160] Acquisition unit 802 is used to acquire dip vector data corresponding to the stratum to be measured;
[0161] The acquisition unit 802 is used to determine the dip angle pattern of the stratum to be measured based on dip angle vector data;
[0162] The acquisition unit 802 is used to determine the angle logging data based on the dip vector data when the formation dip mode is in green mode.
[0163] In some embodiments, a data processing apparatus 800 for stratigraphic maps is provided, further comprising:
[0164] The processing unit 804 is also used to perform feature extraction processing on the dip vector data to obtain regional structural features;
[0165] The processing unit 804 is also used to determine the dip pattern of the strata to be measured based on the regional tectonic features.
[0166] In some embodiments, a data processing apparatus 800 for stratigraphic maps is provided, further comprising:
[0167] The processing unit 804 is also used to perform data conversion processing on the stratigraphic structure map to obtain the first structural plane data;
[0168] The processing unit 804 is also used to perform data correction processing on the first structural plane data based on the saddle position data to obtain the second structural plane data;
[0169] The processing unit 804 is also used to determine an updated stratigraphic structure map based on the second structural plane data.
[0170] In some embodiments, such as Figure 9 As shown, a stratigraphic data processing apparatus 900 is proposed. The stratigraphic data processing apparatus 900 includes a processor 902 and a memory 904. The memory 904 stores a computer program, which, when executed by the processor 902, implements the steps of the stratigraphic data processing method as described in any of the above embodiments. Therefore, this stratigraphic data processing apparatus 900 possesses all the beneficial effects of the stratigraphic data processing method in any of the above embodiments, which will not be elaborated further here.
[0171] In some embodiments, a readable storage medium is provided having a program stored thereon, which, when executed by a processor, implements the steps of the data processing method for stratigraphic maps as described in any of the above embodiments, and thus has all the beneficial technical effects of the data processing method for stratigraphic maps as described in any of the above embodiments.
[0172] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.
[0173] 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-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-readable program code.
[0174] 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 computer, 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, create a machine for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0175] 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.
[0176] 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 1The steps of the function specified in one or more boxes.
[0177] This application also provides a computer program product, which includes computer software instructions that, when executed on a processing device, cause the processing device to execute a data processing method for stratigraphic structural maps.
[0178] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).
[0179] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0180] In the several embodiments provided in this application, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between devices or units, and may be electrical, mechanical, or other forms.
[0181] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0182] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0183] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0184] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.
[0185] Although preferred embodiments have been described in this specification, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this specification.
[0186] Obviously, those skilled in the art can make various modifications and variations to this specification without departing from its spirit and scope. Therefore, if such modifications and variations fall within the scope of the claims and their equivalents, this specification is also intended to include such modifications and variations.
Claims
1. A data processing method for stratigraphic maps, characterized in that, The method includes: Obtain the stratigraphic structure map of the formation to be tested, and obtain the angular logging data of the formation to be tested; Based on the stratigraphic structure map, determine the high point location data corresponding to the stratum to be tested; Based on the angle logging data and the high point location data, determine the saddle location data of the formation to be tested; Based on the saddle location data, the stratigraphic structure map is corrected to obtain an updated stratigraphic structure map.
2. The method according to claim 1, characterized in that, The process of determining the high-point location data corresponding to the stratum to be tested based on the stratigraphic structure map includes: Based on the stratigraphic structure map, the first well point and the second well point corresponding to the stratum to be tested are determined, wherein the first well point and the second well point are well points corresponding to adjacent high points; The high point location data is determined based on the coordinate data of the first well point and the coordinate data of the second well point.
3. The method according to claim 2, characterized in that, The high-point location data includes the first location information of the first well point and the second location information of the second well point, and the angular logging data includes the dip angle of the ground surface. The step of determining the saddle position data of the formation to be tested based on the angle logging data and the high point position data includes: Based on the first location information and the second location information, a first horizontal distance between the first well point and the second well point is determined; Based on the first location information, a first vertical distance between the first well point and the formation to be tested is determined, and based on the second location information, a second vertical distance between the second well point and the formation to be tested is determined. Obtain the angle between the target layer where the first well point is located and the formation to be tested to obtain the first angle, and obtain the angle between the target layer where the second well point is located and the formation to be tested to obtain the second angle; The saddle position data is determined based on the first included angle, the second included angle, the first vertical distance, the second vertical distance, the first horizontal distance, and the ground dip angle.
4. The method according to claim 3, characterized in that, The saddle location data includes the second horizontal distance between the saddle location and the first well point, and the burial depth of the saddle location. The step of determining the saddle position data based on the first included angle, the second included angle, the first vertical distance, the second vertical distance, the first horizontal distance, and the ground dip angle includes: Based on the first included angle, the angle logging data, and the first vertical distance, a first relationship formula is determined; The second relationship formula is determined based on the first horizontal distance, the second included angle, the ground surface dip angle, and the second vertical distance; Based on the first relationship formula and the second relationship formula, the second horizontal distance and the burial depth are determined.
5. The method according to claim 1, characterized in that, The acquisition of angular logging data of the formation to be tested includes: Obtain the dip vector data corresponding to the stratum to be measured; Based on the dip angle vector data, the formation dip angle pattern of the stratum to be measured is determined; When the formation dip pattern is in green mode, the angle logging data is determined based on the dip vector data.
6. The method according to claim 5, characterized in that, The step of determining the formation dip pattern of the stratum to be measured based on the dip vector data includes: The tilt vector data is subjected to feature extraction processing to obtain regional structural features; Based on the tectonic features of the region, the dip angle pattern of the strata to be measured is determined.
7. The method according to any one of claims 1 to 6, characterized in that, The step of performing data correction processing on the stratigraphic structure map based on the saddle location data to obtain an updated stratigraphic structure map includes: The stratigraphic structure map is processed by data conversion to obtain the first structural plane data; Based on the saddle position data, the first structural plane data is corrected to obtain the second structural plane data. Based on the second structural plane data, the updated stratigraphic structure map is determined.
8. A data processing device for stratigraphic maps, characterized in that, The device includes: The acquisition unit is used to acquire the stratigraphic structure map of the formation to be tested and to acquire the angular logging data of the formation to be tested. The processing unit is used to determine the high point location data corresponding to the stratum to be tested based on the stratigraphic structure map. The processing unit is also used to determine the saddle position data of the formation to be tested based on the angle logging data and the high point position data; The processing unit is further configured to perform data correction processing on the stratigraphic structure map based on the saddle location data to obtain an updated stratigraphic structure map.
9. A data processing device for stratigraphic maps, characterized in that, include: processor; A memory containing programs or instructions, wherein a processor, when executing the programs or instructions in the memory, implements the steps of the data processing method for stratigraphic maps as described in any one of claims 1 to 7.
10. A readable storage medium, characterized in that, A program or instruction is stored on a readable storage medium, which, when executed by a processor, implements the steps of the data processing method for stratigraphic maps as described in any one of claims 1 to 7.