A method and apparatus for modeling horizontal well configurations

Abstract

The application discloses a method and device for horizontal well structure modeling, wherein the method comprises the following steps: collecting logging data of a work area; performing straight well stratum correlation based on the logging data and taking a straight well as a standard to obtain straight well stratum correlation data; selecting a horizontal well, taking a straight well adjacent to the horizontal well as a basis, and performing horizontal well stratum correlation based on the straight well stratum correlation data to obtain horizontal well stratum correlation data; verifying the coincidence degree of well trajectory data and the logging data based on the horizontal well stratum correlation data, repeatedly correcting the well trajectory of an abnormal point with a substandard coincidence degree by referring to logging data of an adjacent well; performing structure surface control by adopting a seismic layer surface constraint and a manual layer control method based on the corrected horizontal well stratum correlation data to establish a structure surface model; performing local optimization on the structure surface model by adopting a local virtual well control method; and obtaining a horizontal well structure model by repeatedly optimizing and modifying until the coupling degree of the straight well and the horizontal well reaches a preset value.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of oil and gas exploration and development, and particularly relates to a method and device for horizontal well structure modeling, which is used for structure modeling of carbonate reservoirs developed by horizontal wells with strong vertical heterogeneity and weak plane heterogeneity. BACKGROUND

[0002] For carbonate reservoirs developed by horizontal wells with strong heterogeneity, many vertical small layers and large differences in interpretation models of permeability between small layers, fine structure modeling of horizontal wells at least faces the following three challenges: 1. how to accurately determine the layer position of the small layer; 2. how to solve the contradiction between lithology, electrical property, physical property and trajectory; 3. fine positioning of the horizontal well section needs the support of the corresponding modeling method. The fine structure modeling of horizontal wells needs to accurately determine the spatial relative position of the horizontal section and ensure the accuracy of the spatial position of the well trajectory, so as to avoid the phenomenon of crossing layers, and also needs to finely depict the spatial position and trend of the well trajectory in a layer section.

[0003] At present, it is difficult to realize batch processing of large-scale horizontal wells and vertical wells by using the existing technology, and the processing process is complicated and the precision is not enough.

[0004] In summary, there is an urgent need for a technical solution that can overcome the above difficulties and realize high-precision three-dimensional structure modeling of horizontal wells. SUMMARY

[0005] To solve the problems in the prior art, the present application carries out research on high-precision three-dimensional structure modeling of horizontal wells, and proposes a method and device for horizontal well structure modeling. The present application takes vertical wells as the standard, carries out fine stratigraphic correlation of small layers of vertical wells, selects horizontal wells, and carries out fine stratigraphic correlation of horizontal wells based on adjacent vertical wells. After the stratigraphic correlation is completed, it is verified whether the well trajectory data and the logging data are consistent, and the abnormal points are corrected. Then, the method of "seismic layer constraint + manual layer control" is used for structure surface control, and the method of "local virtual well control" is used for local optimization of layer model. After repeated optimization and modification, the vertical wells and the horizontal wells are fully coupled, and a reasonable structure model is established. The present application can make the layered data on the well fully consistent with the structure model, accurately depict the spatial relative position of the geological microstructure features and the well trajectory, and provide a basis for the attribute model. Through the present application, the spatial position of the horizontal section of the horizontal well can be correctly positioned, and the incorrect configuration relationship in the prior art is changed. Therefore, the use of the present application can make the interpretation of permeability and saturation more reasonable, and provide strong data support for the later numerical simulation and acidification measures.

[0006] Specifically, in the first aspect of the embodiment of the present application, a method for horizontal well structure modeling is proposed, which comprises:

[0007] collecting well logging data of a work area;

[0008] performing straight well stratigraphic correlation based on the well logging data, to obtain straight well stratigraphic correlation data;

[0009] selecting a horizontal well, performing horizontal well stratigraphic correlation based on the straight well stratigraphic correlation data of straight wells adjacent to the horizontal well, to obtain horizontal well stratigraphic correlation data;

[0010] verifying the coincidence degree of well trajectory data and the well logging data according to the horizontal well stratigraphic correlation data, and repeatedly correcting the well trajectory of an abnormal point with a substandard coincidence degree by referring to well logging data of adjacent wells;

[0011] performing structural surface control by using a seismic layer surface constraint and a manual layer control method, to establish a structural surface model according to the corrected horizontal well stratigraphic correlation data;

[0012] performing local optimization on the structural surface model by using a local virtual well control method;

[0013] repeatedly optimizing and modifying until the coupling degree of the straight well and the horizontal well reaches a preset value, to obtain a horizontal well structural model.

[0014] Further, performing straight well stratigraphic correlation based on the well logging data, to obtain straight well stratigraphic correlation data, including:

[0015] organizing well logging data of all straight wells in the work area, dividing small layers and integrating well logging response characteristics and templates of curves corresponding to each small layer, performing stratigraphic correlation on each straight well according to a unified standard, to obtain straight well stratigraphic correlation data.

[0016] Further, selecting a horizontal well, performing horizontal well stratigraphic correlation based on straight well stratigraphic correlation data of straight wells adjacent to the horizontal well, to obtain horizontal well stratigraphic correlation data, including:

[0017] organizing well logging data of all horizontal wells in the work area, selecting a first horizontal well, and finding a plurality of straight wells corresponding to the first horizontal well within a certain range around the first horizontal well;

[0018] performing stratigraphic correlation on the plurality of straight wells based on well logging data of the plurality of straight wells, analyzing well logging response characteristics of cores, straight wells and horizontal wells by using natural gamma ray curves, acoustic time difference curves and resistivity curves, and combining the influence of the distance of the upper and lower surrounding rocks on the horizontal well, to establish a well logging response template of a horizontal section of the horizontal well located in a small layer; wherein, in the correlation process, the trajectory passing direction and the well logging curve characteristics are referred to, a series of layering points are determined on the horizontal section of the horizontal well by using a cycle thickness method.

[0019] Further, according to the horizontal well formation contrast data, the consistency of the well trajectory data and the logging data is verified, and for abnormal points that do not meet the consistency, the well trajectory is repeatedly corrected by referring to the logging data of adjacent wells, including:

[0020] The consistency of the well trajectory data and the logging data is verified, and the logging data of adjacent wells and the drilling geological data are referred to. After repeated practice and demonstration, the abnormal points are processed and corrected, and the well trajectory distortion is corrected, so that the matching degree of the well trajectory and the structure and attribute reaches a preset value.

[0021] Further, according to the corrected horizontal well formation contrast data, a structure surface control method is used to control the structure surface, and a structure surface model is established, including:

[0022] According to the corrected horizontal well formation contrast data, the relative positions of the trend lines in the three-dimensional space are adjusted by a manual method, row by row, for each well, with the seismic interpretation layer as a reference, to obtain the trend lines of each row of horizontal well horizontal segments at different layers. The trend lines of all the same layers are formed into a structure constraint surface by a Petrel modeling system to establish a structure surface model.

[0023] Further, a local virtual well control method is used to locally optimize the structure surface model, including:

[0024] It is judged whether the well trajectory of the horizontal well is consistent with the horizontal well formation contrast data. If there is inconsistency, a new straight well position is added as a virtual well, the structure surface trend between adjacent layer points is controlled by adjusting the layer point position of the virtual well, and the local structure surface is corrected.

[0025] Specifically, in the second aspect of the embodiment of the present application, a horizontal well structure modeling device is provided, which comprises:

[0026] A data acquisition module is configured to acquire logging data of a work area.

[0027] A straight well formation contrast module is configured to perform straight well formation contrast based on the logging data and taking straight wells as a standard to obtain straight well formation contrast data.

[0028] A horizontal well formation contrast module is configured to select a horizontal well, based on the straight well formation contrast data and taking straight wells adjacent to the horizontal well as a basis, to perform horizontal well formation contrast to obtain horizontal well formation contrast data.

[0029] A data verification module is configured to verify the consistency of the well trajectory data and the logging data according to the horizontal well formation contrast data, and repeatedly correct the well trajectory by referring to the logging data of adjacent wells for abnormal points that do not meet the consistency.

[0030] A structural surface control module is configured to control structural surfaces according to the corrected horizontal well formation correlation data, control structural surfaces by using a seismic layer surface constraint and a manual layer control method, and establish a structural surface model.

[0031] A model optimization module is configured to locally optimize the structural surface model by using a local virtual well control method, repeatedly optimize and modify until the coupling degree of the vertical well and the horizontal well reaches a preset value, and obtain a horizontal well structural model.

[0032] Further, the vertical well formation correlation module is specifically configured to:

[0033] The logging data of all vertical wells in the work area is sorted out, the small layers are divided, and the logging response characteristics and templates corresponding to each small layer are integrated. The formation correlation of each vertical well is performed according to a unified standard to obtain vertical well formation correlation data.

[0034] Further, the horizontal well formation correlation module is specifically configured to:

[0035] The logging data of all horizontal wells in the work area is sorted out, a first horizontal well is selected, and a plurality of vertical wells corresponding to the first horizontal well within a certain range around the first horizontal well are found.

[0036] The plurality of vertical wells are taken as a standard, the logging data of the plurality of vertical wells are taken as a standard, the natural gamma curve, the acoustic time difference and the resistivity curve are taken as a standard, the influence of the upper and lower surrounding rocks on the horizontal well is taken into account, the logging response characteristics of the core, the vertical well and the horizontal well are analyzed, and a logging response template in which the horizontal section of the horizontal well is located in a small layer is established. During the correlation process, the reference trajectory direction and the logging curve characteristics are referred to, a series of layering points are determined on the horizontal section of the horizontal well by using the cycle thickness method.

[0037] Further, the data verification module is specifically configured to:

[0038] The consistency of the well trajectory data and the logging data is verified, the drilling geological data and the logging data of adjacent wells are referred to, the existing abnormal points are processed and corrected through repeated practice and demonstration, the well trajectory distortion is corrected, and the matching degree of the well trajectory and the structure and the attribute reaches a preset value.

[0039] Further, the structural surface control module is specifically configured to:

[0040] According to the corrected horizontal well formation correlation data, the relative positions of the trend lines in the three-dimensional space are adjusted well by well and row by row by a manual method with reference to the seismic interpretation layer to obtain a trend line of the horizontal section of each row of horizontal wells with respect to different layers. The trend lines of all the same layers are formed into a structural constraint surface by a Petrel modeling system to establish a structural surface model.

[0041] Further, the model optimization module is specifically used for:

[0042] Judging whether the well trajectory of the horizontal well and the formation contrast data of the horizontal well are consistent, wherein if inconsistent exists, a new vertical well location is added as a virtual well, a local correction of the structural surface is performed by adjusting a layering point position of the virtual well and adopting spatial interpolation to control a trend of the structural surface between adjacent layering points.

[0043] In a third aspect of the embodiments of the present application, a computer device is provided, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method for modeling the structure of the horizontal well when executing the computer program.

[0044] In a fourth aspect of the embodiments of the present application, a computer readable storage medium is provided, which stores a computer program, and the computer program is executable on a processor to implement the method for modeling the structure of the horizontal well.

[0045] The method and device for modeling the structure of the horizontal well fully utilize the logging data of the horizontal section of the horizontal well, finely distinguish small layer layering, increase layering data points, and adopt the method of seismic layer surface constraint, manual layer surface control and virtual well control to fully couple the vertical well and the horizontal well, establish a reasonable structure model, make the layering data on the well fully consistent with the structure model, accurately depict the geological micro-structure characteristics and the spatial relative position of the well trajectory, and provide a basis for the attribute model. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0047] Figure 1 is a method flow diagram of the horizontal well structure modeling of an embodiment of the present application.

[0048] Figure 2 is a flow diagram of the horizontal well structure modeling of a specific embodiment of the present application.

[0049] Figure 3A and Figure 3Bis a comparison schematic diagram of before and after structure correction of a specific embodiment of the present application.

[0050] Figure 4 is a stratum comparison result schematic diagram of a specific embodiment of the present application.

[0051] Figure 5 is a structure trend line schematic diagram of a specific embodiment of the present application.

[0052] Figure 6 is a fine structure model schematic diagram of a specific embodiment of the present application.

[0053] Figure 7 is a device architecture schematic diagram of horizontal well structure modeling of an embodiment of the present application.

[0054] Figure 8 is a computer device structure schematic diagram of an embodiment of the present application. DETAILED DESCRIPTION

[0055] The principles and spirits of the present application will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are given only to enable those skilled in the art to better understand and implement the present application, and do not limit the scope of the present application in any way. On the contrary, these embodiments are provided to make the present disclosure more thorough and complete, and to fully convey the scope of the present disclosure to those skilled in the art.

[0056] Those skilled in the art know that the embodiments of the present application can be implemented as a system, a device, an apparatus, a method or a computer program product. Therefore, the present disclosure can be embodied in the form of a complete hardware, a complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0057] According to the embodiments of the present application, a method and device for horizontal well structure modeling are proposed, which relate to the field of oil and gas exploration and development.

[0058] The three-dimensional structure model of the reservoir is obtained by loading the structure grid data of the target layer converted by the variable-speed time-depth conversion into the reservoir modeling software, applying the hierarchical data and the calculated small layer thickness, and constraining and correcting the layer surface to obtain the structure model of the top and bottom of the reservoir.

[0059] The present application focuses on how to realize the layered results to ensure the accuracy of the spatial position of the well trajectory, avoid the cross-layer phenomenon (i.e. through natural interpolation, part of the well section enters other layer), and depict the spatial position and trend of the well trajectory in a layer. Based on the fine stratigraphic correlation results of the horizontal well, the present application uses all the horizontal well and straight well layered data, adopts the method of'seismic layer constraint + manual layer control + virtual well control', fully couples the straight well and the horizontal well, establishes a reasonable structure model, makes the layered data on the well fully consistent with the structure model, accurately depicts the geological microstructure characteristics and the spatial relative position of the well trajectory, completely avoids the cross-layer phenomenon, and provides a basis for the attribute model, and lays a solid foundation for the numerical simulation, dynamic analysis and engineering measures of the reservoir.

[0060] The principles and spirits of the present application will be explained in detail below with reference to several representative embodiments of the present application.

[0061] Figure 1 Fig. 1 is a schematic diagram of the method flow of the horizontal well structure modeling method according to an embodiment of the present application.

[0062] As shown in Fig. 1, the method comprises the following steps. Figure 1

[0063] Step S101, collecting the logging data of the work area;

[0064] Step S102, according to the logging data, taking the straight well as the standard, performing the stratigraphic correlation of the straight well to obtain the stratigraphic correlation data of the straight well;

[0065] Step S103, selecting the horizontal well, taking the straight well adjacent to the horizontal well as the basis, performing the stratigraphic correlation of the horizontal well according to the stratigraphic correlation data of the straight well to obtain the stratigraphic correlation data of the horizontal well;

[0066] Step S104, according to the stratigraphic correlation data of the horizontal well, verifying the coincidence degree of the well trajectory data and the logging data, and repeatedly correcting the well trajectory by referring to the logging data of the adjacent well for the abnormal points that do not meet the standard;

[0067] Step S105, according to the stratigraphic correlation data of the corrected horizontal well, adopting the method of seismic layer constraint and manual layer control to control the structure surface, and establishing the structure surface model;

[0068] Step S106, adopting the local virtual well control method to locally optimize the structure surface model;

[0069] Step S107, after repeated optimization and modification until the coupling degree of the straight well and the horizontal well reaches the preset value, obtaining the horizontal well structure model.

[0070] In order to more clearly explain the above-mentioned method of the horizontal well structure modeling, each step will be described in detail below.​

[0071] Step S101:

[0072] Collecting well logging data of the work area, including at least well logging data of vertical wells and horizontal wells, and further including core data and seismic data.

[0073] Step S102:

[0074] Combing all vertical wells in the work area, dividing small layers, and summarizing well logging response characteristics and templates of curves corresponding to each small layer (focusing on sensitive curves), and performing stratigraphic correlation on each vertical well according to a unified standard.

[0075] Step S103:

[0076] Combing all horizontal wells in the work area, selecting a certain horizontal well, and finding a plurality of vertical wells corresponding to the horizontal well.

[0077] Taking the vertical well as a standard, taking gamma ray curve, acoustic time difference and resistivity curve as the main, considering the influence of the upper and lower surrounding rock on the horizontal well, comprehensively analyzing core, vertical well and horizontal well logging response characteristics, establishing a logging response template of the horizontal section of the horizontal well in the small layer, and mainly referring to the trajectory passing direction and logging curve characteristics in the comparison process, determining a series of layering points on the horizontal section of the horizontal well by the cycle thickness method.

[0078] Step S104:

[0079] Verifying the consistency of well trajectory data and logging data, whether the well trajectory appears through the layer and the through layer point is not compared out, which is the key point of the quality control of the structure model. At the same time, in order to overcome the system error of the electrical logging curve of part of the vertical well and the horizontal well, the well trajectory and the structure, the layering of the adjacent well, and the attribute model do not match. In order to ensure the effectiveness of the data, it is necessary to refer to the drilling geological conditions and the adjacent well data, and after repeated practice and demonstration, the abnormal points are processed and corrected, and the well trajectory is corrected by multiple methods, so that the vertical well and the horizontal well are unified and effectively coupled, and finally the well trajectory and the structure, the attribute model are matched.

[0080] Step S105:

[0081] The method of "seismic layer constraint + manual layer control" is used to control the structure surface, and the specific process is as follows:

[0082] In order to ensure that the well trajectory is strictly according to the layering result, it is necessary to organically unify the stratigraphic correlation result and the seismic data. According to the stratigraphic correlation result, the relative position of the horizontal section trajectory in the stratum has been determined; taking the seismic interpretation layer as a reference, the information of the upper and lower layers of the trajectory can be realized in the form of digitized trend line.

[0083] By manual method, according to the stratigraphic correlation data, the relative position of the trend line in the three-dimensional space is adjusted well by well and row by row with the seismic interpretation level as the reference, so that the trend line of each row of horizontal well horizontal section distance different levels is obtained. Then the structural trend lines of all the same levels can be formed into a preliminary structural constraint surface through the Petrel modeling system, and then participate in the structural modeling.

[0084] Step S106:

[0085] The "local virtual well control" method is used for local optimization of the level model, and the specific process is as follows:

[0086] It is judged whether the well trajectory of the horizontal well is consistent with the stratigraphic correlation data of the horizontal well; wherein, if there is inconsistency, a new straight well location is added as a virtual well, the position of the stratification point of the virtual well is adjusted, the trend of the structural surface between adjacent stratification points is controlled by using spatial interpolation, and the local correction of the structural surface is performed.

[0087] Step S107:

[0088] All the straight wells and horizontal wells are repeatedly optimized and modified, the straight wells and horizontal wells are fully coupled, and a reasonable structural model is established.

[0089] It should be noted that although the operations of the method of the present application are described in a specific order in the above embodiments and drawings, this does not require or imply that the operations must be performed in this specific order, or that all the shown operations must be performed to achieve the desired results. Additionally or alternatively, certain steps can be omitted, a plurality of steps can be combined into one step, and / or one step can be divided into a plurality of steps.

[0090] In order to more clearly explain the method of modeling the horizontal well structure described above, a specific embodiment will be described below, however, it should be noted that this embodiment is only for better illustrating the present application and does not constitute an improper limitation on the present application.

[0091] Taking A reservoir as an example, the reservoir is a typical porous bioclastic limestone reservoir, with an average porosity of 24%, an average permeability of 18.5 mD, and no developed fractures, mainly developed in gentle slope and beach facies. The reservoir has complex pore throat structure and various pore types, showing strong vertical heterogeneity and weak planar heterogeneity. The whole reservoir adopts a row-shaped injection-production well pattern that is directly opposite to the horizontal well, with a well spacing of 100 m and a row spacing of 300 m, and the horizontal section length is 800 m. The number of horizontal wells in the reservoir is huge, totaling 266, in addition to which there are other directional wells and horizontal wells totaling 140 that pass through the reservoir. This embodiment uses the new structural modeling method to perform three-dimensional structural modeling.

[0092] Reference Figure 2A flow chart for modeling the horizontal well structure of a specific embodiment of the present application.

[0093] As shown in Figure 2 the specific process is as follows:

[0094] 1. Take the vertical well as the standard, and perform fine stratigraphic correlation of the small layers of the vertical well:

[0095] All vertical wells in the work area are combed, small layers are divided, and the logging response characteristics and templates of the curves corresponding to each small layer are summarized (sensitive curves are mainly focused on). When performing stratigraphic division and correlation at the small layer level, mainly take the natural gamma curve, acoustic time difference and resistivity curve as the main, and perform stratigraphic correlation on each vertical well according to a unified standard.

[0096] Referring to Table 1, it is the characteristic response characteristics of each small layer. The longitudinal heterogeneity of the Kh2 reservoir is extremely strong, in order to further finely depict the heterogeneity of the reservoir, Kh2-1 is divided into Kh2-1-1, Kh2-1-2U and Kh2-1-2L. Among them, the Kh2-1-2U and Kh2-1-2L small layers are regionally distributed high-permeability layers and sub-high-permeability layers, respectively, and the lithology is mainly patchy sparry calcarenite reservoir, which belongs to a special low-porosity high-permeability type, the permeability of the high-permeability layer reaches 340mD, the thickness is thin, only about 0.5-1m.

[0097] Table 1 Characteristic response characteristics of small layers

[0098]

[0099] 2. Select a horizontal well, based on adjacent vertical wells, and perform fine stratigraphic correlation of the horizontal well:

[0100] All horizontal wells in the work area are combed, a certain horizontal well is selected, and a plurality of vertical wells corresponding to the horizontal well are found.

[0101] Take the vertical well as the standard, take the natural gamma curve, acoustic time difference and resistivity curve as the main, and consider the influence of the distance affected by the upper and lower surrounding rocks on the horizontal well, comprehensively analyze the core, vertical well and horizontal well logging response characteristics, and establish a logging response template for the horizontal well horizontal section located in the small layer. During the correlation process, mainly refer to the trajectory passing direction and the logging curve characteristics, and determine a series of layering points on the horizontal well horizontal section by the cycle thickness method.

[0102] 3. Verify whether the well trajectory data and the logging data are consistent:

[0103] It is the key of the quality control of the structure model to verify whether the well trajectory and the logging data match, and whether the well trajectory appears through the layer and the through layer point is not compared out. Meanwhile, in order to overcome the systematic error of the electric logging curve of the part of the straight well and the horizontal well, the well trajectory and the structure, the separated layer of the adjacent well, and the attribute model are not matched, and in order to ensure the effectiveness of the data, the drilling geological condition and the adjacent well data are referred, the existing abnormal points are processed and corrected through repeated practice and demonstration, the part of the well trajectory is corrected by using the multiple methods, the straight well and the horizontal well are unified and effectively coupled, and finally the well trajectory and the structure, the attribute model are matched, such as the comparison schematic diagram of the structure correction before and after of a specific embodiment of the present application shown in Figure 3A and Figure 3B .

[0104] 4, the method of "seismic layer constraint + manual layer control" is used to control the structure surface:

[0105] In order to ensure that the well trajectory is strictly according to the separated layer result, the stratum comparison result and the seismic data are organically unified, and according to the stratum comparison result, the relative position of the horizontal section trajectory in the stratum is already clear.

[0106] Taking the seismic interpretation layer as the reference, the information of the upper and lower layers of the trajectory can be realized in the form of the digitized trend line. Here, according to the stratum comparison data, the relative position of the trend line in the three-dimensional space is adjusted well by well by taking the seismic interpretation layer as the reference in the manual way, so that it meets the fine stratum comparison result, and then the trend line of each row of the horizontal section distance from the different layers is obtained.

[0107] Supposing that the vertical distance of the point on the trajectory from the top surface of Kh2-4 layer is d, the trajectory enters Kh2-3 at the point C, at this time, the trajectory is farthest from Kh2-4 layer, d is maximum, and from the point C to the point A, the GR value can be determined from the horizontal well logging curve, at this time, the GR value gradually increases, the acoustic wave gradually decreases, and the density increases, so at this time, the horizontal section gradually moves away from the top surface of Kh2-3 small layer, and d gradually decreases. When the trajectory reaches the point A, the GR value is maximum, and the resistance and the acoustic time difference change relatively small, so it can be known that the distance of the trajectory from the top surface of Kh2-4 layer remains stable. As can be seen from the profile, when the separated layer point is randomly interpolated, the top surface of Kh2-4 layer cannot be controlled, and the trajectory is close to the layer surface (A1 line is the top surface of Kh2-4 layer obtained by random interpolation), in order to avoid the above error caused by random interpolation, the top trend line of Kh2-4 layer (A2 red line is the manual trend line) is adjusted by the size of d, as shown in Figure 4 , which is a stratum comparison result schematic diagram of a specific embodiment of the present application.

[0108] Using this method, the structural trend line of one row of wells can be obtained, and then the structural trend lines of all the same layers can be formed into a preliminary structural constraint surface by Petrel, and then participate in structural modeling, such as Figure 5 Fig. 3 is a structural trend line diagram of a specific embodiment of the present application.

[0109] 5. The method of "local virtual well control" is adopted to locally optimize the layer model:

[0110] After the structural surface modeling by "seismic layer constraint + manual layer control", the wellbore trajectory of some wells is still inconsistent with the stratigraphic correlation result, and therefore the virtual well control technology is adopted to correct the contradictory places. That is, by adding a new straight well location as a virtual well, the trend of the structural surface between adjacent layer points is controlled by adjusting the layer point position of the virtual well, so as to achieve local correction of the structural surface. In some cases, in order to adjust the structural surface, multiple virtual wells are needed for correction.

[0111] 6. On the basis of fine layering of all straight wells and horizontal wells in the work area, the logging data of the horizontal section of the horizontal well is fully utilized to finely distinguish the layering of the small layer, increase the layering data points, and the method of "seismic layer constraint + manual layer control + virtual well control" is adopted to fully couple the straight wells and the horizontal wells, and a reasonable structural model is established, so that the layering data on the well is fully consistent with the structural model, the spatial relative position of the geological microstructure characteristics and the well trajectory is accurately described, and a basis is provided for the attribute model, such as Figure 6 Fig. 4 is a fine structural model diagram of a specific embodiment of the present application.

[0112] After introducing the method of the example embodiment of the present application, next, with reference to Figure 7 The device for horizontal well structural modeling of the example embodiment of the present application is introduced.

[0113] The implementation of the device for horizontal well structural modeling can refer to the implementation of the above method, and the repeated parts will not be described again. The term "module" or "unit" used below can be a combination of software and / or hardware that realizes the predetermined function. Although the device described in the following embodiments is preferably realized in software, the realization of hardware, or the combination of software and hardware is also possible and conceived.

[0114] Based on the same inventive concept, the present application also proposes a device for horizontal well structural modeling, as shown in Figure 7 The device comprises:

[0115] The data acquisition module 710 is used to acquire the logging data of the work area;

[0116] A vertical well formation correlation module 720 is configured to perform vertical well formation correlation based on the logging data, and obtain vertical well formation correlation data.

[0117] A horizontal well formation correlation module 730 is configured to select a horizontal well, perform horizontal well formation correlation based on the vertical well formation correlation data of the vertical well adjacent to the horizontal well, and obtain horizontal well formation correlation data.

[0118] A data verification module 740 is configured to verify the consistency between the well trajectory data and the logging data based on the horizontal well formation correlation data, and repeatedly correct the well trajectory of an abnormal point that does not meet the consistency requirement by referring to the logging data of the adjacent well.

[0119] A structural surface control module 750 is configured to perform structural surface control by using a seismic layer constraint and a manual layer control method based on the corrected horizontal well formation correlation data, and establish a structural surface model.

[0120] A model optimization module 760 is configured to perform local optimization on the structural surface model by using a local virtual well control method, and obtain a horizontal well structural model by repeatedly optimizing and modifying until the coupling degree of the vertical well and the horizontal well reaches a preset value.

[0121] Further, the vertical well formation correlation module is specifically configured to:

[0122] The logging data of all vertical wells in a work area is sorted out, each small layer is divided, and the logging response characteristics and templates of the curves corresponding to each small layer are integrated. The stratigraphic correlation of each vertical well is performed according to a unified standard, and vertical well formation correlation data is obtained.

[0123] Further, the horizontal well formation correlation module is specifically configured to:

[0124] The logging data of all horizontal wells in a work area is sorted out, a first horizontal well is selected, and a plurality of vertical wells corresponding to the first horizontal well within a certain range around the first horizontal well are found.

[0125] The logging response characteristics of the core, the vertical well and the horizontal well are analyzed based on the logging data of the plurality of vertical wells, the natural gamma curve, the acoustic time difference and the resistivity curve, and the influence of the upper and lower surrounding rocks on the horizontal well, and a logging response template in which the horizontal section of the horizontal well is located inside a small layer is established. In the correlation process, the trajectory passing direction and the logging curve characteristics are referred to, a series of layering points are determined on the horizontal section of the horizontal well by using a cycle thickness method.

[0126] Further, the data verification module is specifically configured to:

[0127] Verify the consistency of well trajectory data and logging data, refer to the drilling geological condition data and the logging data of adjacent wells, through repeated practice and demonstration, process and correct the existing abnormal points, and correct the well trajectory distortion, so that the matching degree of the well trajectory and the structure and the attribute reaches the preset value.

[0128] Further, the structure surface control module is specifically used for:

[0129] According to the corrected horizontal well formation correlation data, taking the seismic interpretation layer as a reference, the relative positions of the trend lines are adjusted in a three-dimensional space in a manual manner, row by row, to obtain the trend lines of different layers of each row of horizontal well horizontal sections, and the trend lines of all the same layers are formed into a structure constraint surface through a Petrel modeling system to establish a structure surface model.

[0130] Further, the model optimization module is specifically used for:

[0131] It is judged whether the well trajectory of the horizontal well is consistent with the horizontal well formation correlation data; if there is inconsistency, a new straight well position is added as a virtual well, the structure surface trend between adjacent layer points is controlled by adjusting the layer point position of the virtual well and locally correcting the structure surface.

[0132] It should be noted that although several modules of the device for horizontal well structure modeling are mentioned in the foregoing detailed description, such division is merely exemplary and not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules described above can be embodied in one module. Conversely, the features and functions of one module described above can be further divided into modules for embodiment.

[0133] Based on the foregoing inventive concept, as Figure 8 shown, the present application further proposes a computer device 800, which comprises a memory 810, a processor 820, and a computer program 830 stored in the memory 810 and executable on the processor 820, wherein the processor 820 implements the foregoing method for horizontal well structure modeling when executing the computer program 830.

[0134] Based on the foregoing inventive concept, the present application proposes a computer readable storage medium, which stores a computer program, wherein the computer program is executed by a processor to implement the foregoing method for horizontal well structure modeling.

[0135] The method and device for constructing horizontal well structure provided by the application are based on fine layering of all vertical wells and horizontal wells in a work area, fully utilize well logging data of horizontal sections of the horizontal wells, finely distinguish small layering, increase layering data points, and adopt a method of seismic layer surface constraint, manual layer surface control and virtual well control to fully couple the vertical wells and the horizontal wells, establish a reasonable structure model, make well layering data and the structure model fully consistent, accurately depict geological microstructure features and spatial relative positions of well trajectories, and provide a basis for an attribute model.

[0136] Those skilled in the art will appreciate that embodiments of the application can be provided as methods, apparatus, or computer program products. Accordingly, the application can be embodied in the form of entire hardware embodiments, entire software embodiments, or embodiments combining software and hardware aspects. Furthermore, the application can be embodied in the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk memory, CD-ROMs, optical memory, etc.) having computer-usable program code embodied thereon.

[0137] The application is described with reference to flowcharts and / or block diagrams of methods and computer program products according to embodiments of the application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as combinations of flows and / or blocks in the flowcharts 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, a special purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions, which are executed via the processor of the computer or other programmable data processing apparatus, generate an apparatus that implements the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus with the function specified in the one or more flows and / or blocks.

[0138] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including instruction apparatus, which implements the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus with the function specified in the one or more flows and / or blocks.

[0139] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 The flowchart blocks Figure 1 The flowchart blocks

[0140] Finally, it should be noted that the above-described embodiments are merely exemplary of the application and should not be used to limit its scope, and that the scope of the application is defined by the appended claims. Although the application has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the art. Accordingly, it is intended to embrace all such alternatives, modifications and variations as fall within the scope of the claims appended hereto.

Claims

1. A method of modeling horizontal well construction, characterized by, The method comprises: collecting well logging data of a work area; performing vertical well stratigraphic correlation based on the well logging data to obtain vertical well stratigraphic correlation data; selecting a horizontal well, and performing horizontal well stratigraphic correlation based on the vertical well stratigraphic correlation data to obtain horizontal well stratigraphic correlation data; verifying the coincidence degree of well trajectory data and the well logging data according to the horizontal well stratigraphic correlation data, and repeatedly correcting the well trajectory of an abnormal point that does not meet the coincidence degree by referring to well logging data of a neighboring well; performing structural surface control by using a seismic layer surface constraint and a manual layer control method based on the corrected horizontal well stratigraphic correlation data to establish a structural surface model; performing local optimization on the structural surface model by using a local virtual well control method; repeatedly optimizing and modifying until the coupling degree of the vertical well and the horizontal well reaches a preset value to obtain a horizontal well structural model; wherein the vertical well stratigraphic correlation based on the well logging data to obtain vertical well stratigraphic correlation data comprises: combing well logging data of all vertical wells in the work area, dividing small layers, integrating well logging response characteristics and templates of curves corresponding to each small layer, and performing stratigraphic correlation on each vertical well according to a unified standard to obtain vertical well stratigraphic correlation data; wherein the horizontal well stratigraphic correlation based on the vertical well stratigraphic correlation data to obtain horizontal well stratigraphic correlation data comprises: combing well logging data of all horizontal wells in the work area, selecting a first horizontal well, and finding a plurality of vertical wells corresponding to the first horizontal well within a certain range around the first horizontal well; taking the plurality of vertical wells as a standard, analyzing well logging response characteristics of cores, vertical wells and horizontal wells based on well logging data of the plurality of vertical wells, natural gamma ray curves, acoustic time difference curves and resistivity curves, and combining the influence of the distance of the horizontal well affected by the upper and lower surrounding rocks to establish a well logging response template of a horizontal section of the horizontal well located in a small layer; wherein, in the correlation process, the trajectory passing direction and the logging curve characteristics are referred to, a series of layering points are determined on the horizontal section of the horizontal well by using a cycle thickness method.

2. The method of modeling horizontal well configurations of claim 1, wherein, verifying the coincidence degree of well trajectory data and the well logging data according to the horizontal well stratigraphic correlation data, and repeatedly correcting the well trajectory of an abnormal point that does not meet the coincidence degree by referring to well logging data of a neighboring well, comprising: verifying the coincidence degree of well trajectory data and the well logging data, referring to drilling geological data and well logging data of a neighboring well, repeatedly practicing and demonstrating, processing and correcting abnormal points, and correcting well trajectory distortion to make the matching degree of the well trajectory and the structure and the attribute reach a preset value.

3. The method of horizontal well configuration modeling of claim 2, wherein, performing structural surface control by using a seismic layer surface constraint and a manual layer control method based on the corrected horizontal well stratigraphic correlation data to establish a structural surface model, comprising: taking the seismic interpretation layer as a reference, adjusting the relative positions of trend lines in three-dimensional space by a manual method row by row and well by well based on the corrected horizontal well stratigraphic correlation data to obtain trend lines of horizontal sections of each row of horizontal wells at different layer surfaces, forming a structural constraint surface by Petrel modeling system from all trend lines of the same layer surface to establish a structural surface model.

4. The method of horizontal well configuration modeling of claim 3, wherein, The local virtual well control method is used for local optimization of the structural surface model, comprising: determining whether the well trajectory of the horizontal well is consistent with the formation correlation data of the horizontal well; if inconsistent, a new vertical well location is added as a virtual well, the trend of the structural surface between adjacent layering points is controlled by adjusting the layering point position of the virtual well, and the local correction of the structural surface is performed.

5. An apparatus for horizontal well configuration modeling, the apparatus comprising: The device comprises: a data acquisition module for acquiring logging data of a work area; a vertical well formation correlation module for performing vertical well formation correlation based on the logging data, taking the vertical well as a standard, to obtain vertical well formation correlation data; a horizontal well formation correlation module for selecting a horizontal well, taking the vertical well adjacent to the horizontal well as a basis, and performing horizontal well formation correlation based on the vertical well formation correlation data to obtain horizontal well formation correlation data; a data verification module for verifying the consistency of the well trajectory data and the logging data based on the horizontal well formation correlation data, and repeatedly correcting the well trajectory with reference to the logging data of adjacent wells for abnormal points that do not meet the consistency requirement; a structural surface control module for performing structural surface control based on the corrected horizontal well formation correlation data by using seismic layer surface constraints and manual layer control methods to establish a structural surface model; a model optimization module for performing local optimization of the structural surface model by using a local virtual well control method, and repeatedly optimizing and modifying until the coupling degree of the vertical well and the horizontal well reaches a preset value to obtain a horizontal well structural model; wherein the vertical well formation correlation module is specifically configured to: organize the logging data of all vertical wells in the work area, divide the small layers and integrate the logging response characteristics and templates of each small layer corresponding curve, perform formation correlation on each vertical well according to a unified standard, and obtain vertical well formation correlation data; wherein the horizontal well formation correlation module is specifically configured to: organize the logging data of all horizontal wells in the work area, select a first horizontal well, and find a plurality of vertical wells corresponding to the first horizontal well within a certain range around the first horizontal well; take the plurality of vertical wells as a standard, analyze the logging response characteristics of the core, vertical well and horizontal well based on the logging data of the plurality of vertical wells, the natural gamma curve, the acoustic time difference and the resistivity curve, and the influence of the horizontal well on the upper and lower surrounding rock, establish a logging response chart of the horizontal section of the horizontal well located in the small layer; wherein, in the correlation process, the trajectory passing direction and the logging curve characteristics are referred to, a series of layering points are determined on the horizontal section of the horizontal well by the cycle thickness method.

6. The apparatus for modeling horizontal well configurations of claim 5, wherein, The data verification module is specifically configured to: verify the consistency of the well trajectory data and the logging data, refer to the drilling geological data and the logging data of adjacent wells, process and correct the abnormal points through repeated practice and demonstration, and correct the well trajectory distortion to make the matching degree of the well trajectory and the structure and the attribute reach a preset value.

7. The apparatus for modeling horizontal well configurations of claim 6, wherein, The structural surface control module is specifically configured to: According to the corrected horizontal well formation correlation data, with a seismic interpretation layer as a reference, a relative position of a trend line is adjusted in a three-dimensional space in a manual manner, row by row and well by well, to obtain a trend line of a horizontal section of each row of horizontal wells at different layers, all trend lines of the same layer are formed into a structure constraint surface through a Petrel modeling system, and a structure surface model is established.

8. The apparatus for modeling horizontal well configurations of claim 7, wherein, The model optimization module is specifically used for: judging whether the well trajectory of the horizontal well is consistent with the horizontal well formation correlation data; if there is inconsistency, a new straight well location is added as a virtual well, a local correction of the structure surface is performed by adjusting a layered point position of the virtual well and controlling a trend of the structure surface between adjacent layered points through spatial interpolation.

9. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the method in any of claims 1 to 4.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the method in any of claims 1 to 4.

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