Well drilling method and device and electronic equipment

Abstract

The invention discloses a well drilling method and device and electronic equipment, and belongs to the technical field of geophysical exploration. According to the well drilling method, the speed model is firstly generated, the predicted depth of the first horizon is determined through the speed model, and well drilling construction is conducted according to the predicted depth of the first horizon. And correcting the speed model according to the actual depth of the first horizon during drilling, determining the predicted depth of a second horizon by using the corrected speed model, and performing drilling construction according to the predicted depth of the second horizon. And then the speed model is corrected again according to the actual depth of the second drilling horizon, and the predicted depth of the third horizon is determined according to the corrected speed model. And so on, until the predicted depth of the access target spot is determined. Therefore, along with the gradual increase of the drilling horizon, the correction frequency of the speed model is continuously increased, the predicted depth determined according to the corrected speed model is closer to the actual depth, and the accuracy of the drilling of the target stratum is higher.

Description

Technical Field

[0001] The present application relates to the field of geophysical exploration technology, and in particular to a drilling method, device and electronic equipment. Background Art

[0002] Inclined wells and horizontal wells are widely used in the exploration and development of oil and gas fields at this stage. In particular, horizontal wells with a maximum well inclination angle of nearly 90° need to maintain a certain length in the oil and gas layer, thereby effectively increasing the contact area between the horizontal well and the oil and gas layer. In a three-dimensional underground space, the direction of the well trajectory may change continuously, and it does not move in a straight line in both the plane and the section. Therefore, how to accurately determine the position of the entry point, so as to accurately drill into the oil and gas layer according to the position of the entry point, has become a research focus. Among them, the entry point is the position where the horizontal well encounters the oil and gas layer.

[0003] In the related technology, when drilling into oil and gas layers, the main method is to first collect seismic data, then design the well trajectory based on the seismic data, determine the predicted depth of the target point based on the well trajectory, and then perform drilling construction according to the predicted depth of the target point. However, due to the complex formation structure, the pre-designed well trajectory may not match the actual formation structure, so that the actual depth of the target point does not match the predicted depth, which in turn leads to the inability to accurately drill into the oil and gas layer. Summary of the invention

[0004] The embodiments of the present application provide a drilling method, device and electronic equipment, which can improve the accuracy of determining the position of the target point, thereby improving the accuracy of drilling into the target layer. The technical solution is as follows:

[0005] In one aspect, a drilling method is provided, the method comprising:

[0006] Acquire a structural model, where the structural model is used to reflect the structural morphology of a stratum within the construction range of the target well in three-dimensional space, where the stratum includes multiple layers;

[0007] Based on the structural model, construct a first velocity model, wherein the first velocity model is used to reflect the propagation velocity of seismic waves in the stratum;

[0008] Based on the first velocity model, determining a first predicted depth when a first layer is encountered in the formation; wherein the first predicted depth is a depth corresponding to the drilling construction of the target well at the current stage;

[0009] Acquire a first actual depth of the target well when drilling into the first layer; based on the first actual depth, correct the first velocity model to obtain a second velocity model;

[0010] Based on the second velocity model, determining a second predicted depth when a second layer is encountered in the formation; wherein the second predicted depth is a depth corresponding to the drilling construction of the target well in the next stage;

[0011] Acquire a second actual depth of the target well when drilling into the second layer; based on the second actual depth, correct the second velocity model to obtain a third velocity model;

[0012] By analogy, the step of correcting the velocity model corresponding to the layer based on the actual depth of the corresponding layer is repeated until a third predicted depth of the target entry point is obtained; wherein the third predicted depth is the depth corresponding to the target well encountering the target layer, and the target entry point is the position where the target well encounters the target layer.

[0013] In a possible implementation, determining, based on the first velocity model, a first predicted depth when drilling into a first layer in the formation includes:

[0014] Based on the structural model, construct a first attribute model, wherein the first attribute model is used to reflect the oil and gas characteristics of the formation;

[0015] Based on the first velocity model, converting the first attribute model from the time domain to the depth domain to obtain a second attribute model;

[0016] determining a first trajectory of the target well based on the second attribute model;

[0017] Based on the first trajectory, the first predicted depth is determined.

[0018] In another possible implementation, determining, based on the second velocity model, a second predicted depth when drilling into a second layer in the formation includes:

[0019] Based on the second velocity model, reconverting the first attribute model from the time domain to the depth domain to obtain a third attribute model;

[0020] Determining a second trajectory of the target well based on the third attribute model;

[0021] Based on the second trajectory, the second predicted depth is determined.

[0022] In another possible implementation, constructing a first velocity model based on the construction model includes:

[0023] Based on the structural model, construct an initial velocity model;

[0024] Acquire actual layer data of multiple constructed wells within the construction range of the target well;

[0025] Based on the actual layer data of the multiple constructed wells, determining a first time-depth relationship curve of the multiple constructed wells; wherein the first time-depth relationship curve is used to reflect the change relationship between the actual depth of the constructed wells and time;

[0026] The initial velocity model is corrected based on the first time-depth relationship curves of the plurality of constructed wells to obtain the first velocity model.

[0027] In another possible implementation, the method further includes:

[0028] Acquiring theoretical stratigraphic data of the plurality of constructed wells;

[0029] Determining the degree of matching between the theoretical horizon data and the actual horizon data;

[0030] When the matching degree is not greater than a preset threshold, the step of determining a first time-depth relationship curve of the plurality of constructed wells based on the actual layer data of the plurality of constructed wells is performed.

[0031] In another possible implementation, the acquiring the construction model includes:

[0032] Based on the construction scope of the target well, construct an initial model;

[0033] Acquiring theoretical fault data and theoretical layer data within the construction range of the target well;

[0034] Based on the theoretical fault data, construct a cross-section model on the basis of the initial model;

[0035] Based on the theoretical stratigraphic data, constructing a stratigraphic model on the basis of the cross-sectional model;

[0036] The stratigraphic planes and fault planes in the stratigraphic model are connected to form the structural model.

[0037] In another possible implementation, the constructing of the cross-section model based on the theoretical cross-section data and on the basis of the initial model includes:

[0038] Based on the theoretical fault data, generating multiple fault planes on the basis of the initial model;

[0039] For a first fault plane and a second fault plane, determining a first area of ​​the first fault plane and a second area of ​​the second fault plane; wherein the first fault plane and the second fault plane are intersecting fault planes among the plurality of fault planes;

[0040] Based on the first area and the second area, determining a relationship between the first fault plane and the second fault plane;

[0041] The cross-section model is constructed based on the relationship between the first fault plane and the second fault plane.

[0042] In another possible implementation manner, determining the relationship between the first fault plane and the second fault plane based on the first area and the second area includes:

[0043] If the area difference between the first area and the second area is within a preset range, determining that the first fault plane and the second fault plane are in a parallel relationship;

[0044] If the area difference is not within the preset range, it is determined that the first fault plane and the second fault plane are in a subordinate relationship.

[0045] In another aspect, a drilling device is provided, the device comprising:

[0046] A first acquisition module is used to acquire a structural model, wherein the structural model is used to reflect the structural morphology of a stratum within the construction range of a target well in three-dimensional space, wherein the stratum includes multiple layers;

[0047] A first construction module is used to construct a first velocity model based on the structural model, wherein the first velocity model is used to reflect the propagation velocity of seismic waves in the stratum;

[0048] A first determination module is used to determine, based on the first velocity model, a first predicted depth when a first layer is encountered in the formation; wherein the first predicted depth is a depth corresponding to the drilling construction of the target well at the current stage;

[0049] A first correction module is used to obtain a first actual depth of the target well when the first layer is encountered; based on the first actual depth, the first velocity model is corrected to obtain a second velocity model;

[0050] A second determination module is used to determine a second predicted depth when a second layer is encountered in the formation based on the second velocity model; wherein the second predicted depth is a depth corresponding to the drilling construction of the target well in the next stage;

[0051] The second correction module is used to obtain the second actual depth of the target well when drilling into the second layer; based on the second actual depth, the second velocity model is corrected to obtain a third velocity model; and by analogy, the step of correcting the velocity model corresponding to the layer based on the actual depth of the corresponding layer is repeated until a third predicted depth of the target entry point is obtained; wherein the third predicted depth is the depth corresponding to the target well encountering the target layer, and the target entry point is the position where the target well encounters the target layer.

[0052] In a possible implementation, the first determination module is used to construct a first attribute model based on the structural model, and the first attribute model is used to reflect the oil and gas characteristics of the formation; based on the first velocity model, the first attribute model is converted from the time domain to the depth domain to obtain a second attribute model; based on the second attribute model, the first trajectory of the target well is determined; based on the first trajectory, the first predicted depth is determined.

[0053] In another possible implementation, the second determination module is used to reconvert the first attribute model from the time domain to the depth domain based on the second velocity model to obtain a third attribute model; determine the second trajectory of the target well based on the third attribute model; and determine the second predicted depth based on the second trajectory.

[0054] In another possible implementation, the first construction module is used to construct an initial velocity model based on the structural model; obtain actual stratigraphic data of multiple constructed wells within the construction range of the target well; determine first time-depth relationship curves of the multiple constructed wells based on the actual stratigraphic data of the multiple constructed wells; wherein the first time-depth relationship curve is used to reflect the change relationship between the actual depth of the constructed wells and time; and correct the initial velocity model based on the first time-depth relationship curves of the multiple constructed wells to obtain the first velocity model.

[0055] In another possible implementation, the device further includes:

[0056] A second acquisition module is used to acquire theoretical layer data of the plurality of constructed wells;

[0057] A third determination module is used to determine the matching degree between the theoretical layer data and the actual layer data;

[0058] The first construction module is further configured to determine a first time-depth relationship curve of the plurality of constructed wells based on actual layer data of the plurality of constructed wells when the matching degree is not greater than a preset threshold.

[0059] In another possible implementation, the first acquisition module is used to construct an initial model based on the construction scope of the target well; to obtain theoretical fault data and theoretical stratigraphic data within the construction scope of the target well; to construct a section model based on the initial model based on the theoretical fault data; to construct a layer model based on the section model based on the theoretical stratigraphic data; and to connect the layer planes and fault planes in the layer model to form the structural model.

[0060] In another possible implementation, the first acquisition module is used to generate multiple fault planes based on the theoretical fault data and on the basis of the initial model; for the first fault plane and the second fault plane, determine the first area of ​​the first fault plane and the second area of ​​the second fault plane; wherein the first fault plane and the second fault plane are fault planes that intersect among the multiple fault planes; based on the first area and the second area, determine the relationship between the first fault plane and the second fault plane; based on the relationship between the first fault plane and the second fault plane, construct the cross-sectional model.

[0061] In another possible implementation, the first acquisition module is used to determine that the first fault plane and the second fault plane are in a parallel relationship if the area difference between the first area and the second area is within a preset range; if the area difference is not within the preset range, determine that the first fault plane and the second fault plane are in a subordinate relationship.

[0062] On the other hand, an electronic device is provided, comprising a processor and a memory, wherein at least one program code is stored in the memory, and the at least one program code is loaded and executed by the processor to implement any of the above-mentioned drilling methods.

[0063] On the other hand, a computer-readable storage medium is provided, wherein at least one program code is stored in the computer-readable storage medium, and the at least one program code is loaded and executed by a processor to implement any of the above-mentioned drilling methods.

[0064] On the other hand, a computer program product is provided, wherein at least one program code is stored in the computer program product, and the at least one program code is loaded and executed by a processor to implement any of the above-mentioned drilling methods.

[0065] The embodiment of the present application provides a drilling method, which first generates a velocity model, then determines the predicted depth of the first layer through the velocity model, and performs drilling construction according to the predicted depth of the first layer. When the first layer is drilled, the velocity model is corrected according to the actual depth of the first layer, and the predicted depth of the second layer is determined by the corrected velocity model, and the drilling construction is performed according to the predicted depth of the second layer. When the second layer is drilled, the velocity model is corrected again according to the actual depth of the second layer, and the predicted depth of the third layer is determined according to the corrected velocity model. And so on, until the predicted depth of the entry and exit points is determined. It can be seen that as the number of layers encountered by drilling gradually increases, the number of times the velocity model is corrected continues to increase, and the predicted depth determined according to the corrected velocity model is closer to the actual depth. Therefore, the position of the entry point is determined more accurately, thereby improving the accuracy of drilling into the target layer.

[0066] It is to be understood that the foregoing general description and the following detailed description are exemplary only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 It is a schematic diagram of an implementation environment of a drilling method provided in an embodiment of the present application;

[0068] Figure 2 is a flow chart of a drilling method provided in an embodiment of the present application;

[0069] Figure 3 It is a seismic interpretation profile provided in an embodiment of the present application;

[0070] Figure 4 is a schematic diagram of a construction model provided in an embodiment of the present application;

[0071] Figure 5 is a comparison diagram before and after the velocity model correction provided by an embodiment of the present application;

[0072] Figure 6 It is a three-dimensional stereogram of an attribute model provided in an embodiment of the present application;

[0073] Figure 7 It is a schematic diagram of determining the predicted depth of the target entry point provided in an embodiment of the present application;

[0074] Figure 8 It is a structural schematic diagram of a drilling device provided in an embodiment of the present application;

[0075] Fig. 9 It is a structural block diagram of a terminal provided in an embodiment of the present application. DETAILED DESCRIPTION

[0076] In order to make the technical solutions and advantages of the present application clearer, the implementation methods of the present application are described in further detail below.

[0077] The terms "first", "second", "third" and "fourth" etc. in the specification and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0078] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions. For example, the stratigraphic data and fault data involved in this application are all obtained with full authorization.

[0079] Figure 1 is a schematic diagram of an implementation environment of a drilling method provided in an embodiment of the present application, see Figure 1 The implementation environment includes: an electronic device, which can be provided as a terminal 101, or can be provided as a terminal 101 and a server 102, and there is no specific limitation on this.

[0080] If the electronic device is provided as the terminal 101, and a target application is installed on the terminal 101, the user can log in to the target application and then determine the predicted depth of the target point through the method provided in the present application.

[0081] If the electronic device is provided as a terminal 101 and a server 102, the terminal 101 and the server 102 can be connected via a wireless or wired network. Accordingly, the terminal 101 is installed with a target application, and the server 102 is a server 102 corresponding to the target application. When the user determines the predicted depth of the target point through the target application, the server 102 provides a background service. In the embodiment of the present application, only the electronic device provided as a terminal 101 is used as an example for description.

[0082] The terminal 101 is at least one of a mobile phone, a tablet computer, a PC (Personal Computer), an intelligent voice interaction device, a vehicle-mounted terminal, etc. The server 102 is at least one of a server, a server cluster consisting of multiple servers, a cloud server, a cloud computing platform, and a virtualization center.

[0083] Figure 2 is a flowchart of a drilling method provided in an embodiment of the present application, which is executed by an electronic device, see Figure 2 , the method comprising:

[0084] Step 201: The electronic device obtains a construction model.

[0085] Among them, the structural model is used to reflect the structural morphology of the stratum within the construction range of the target well in three-dimensional space, and the stratum contains multiple layers.

[0086] See also Figure 3 The sample area is located in a horizontal well construction area in the Bohai Bay Basin. The target layer is located in Figure 3 At the bottom of the profile, sandstone tight gas is enriched and accumulated, and extensional structural deformation develops above the reservoir, forming normal faults of different scales, which increases the difficulty of drilling design and construction. Figure 3 It can be seen that the well trajectory needs to pass through three layers before entering the target layer, which are Tp1, Tp and Ts from shallow to deep. Since faults have a great influence on formation velocity, in order to clarify the change of formation velocity and accurately predict the depth of the target layer, and at the same time avoid the potential risks caused by faults to drilling construction, an accurate three-dimensional structural model must be established before drilling construction.

[0087] In the embodiment of the present application, the process of establishing the construction model can be implemented by the following steps (1) to (5), including:

[0088] (1) The electronic equipment builds an initial model based on the construction scope of the target well.

[0089] The electronic device first determines the horizontal range and vertical depth of the initial model based on the construction range of the target well to avoid waste of resources caused by excessive modeling space. Then, it constructs a three-dimensional initial model based on the horizontal range and vertical depth.

[0090] (2) The electronic equipment obtains theoretical fault data and theoretical layer data within the construction range of the target well.

[0091] The electronic device may obtain theoretical fault data and theoretical layer data input by a user, and may also obtain theoretical fault data and theoretical layer data sent by other devices, and there is no specific limitation on this.

[0092] After acquiring the theoretical fault data and the theoretical horizon data, the electronic device can detect whether there is abnormal data in the theoretical fault data and the theoretical horizon data. If there is abnormal data, the abnormal data is removed and then step (3) is executed.

[0093] (3) The electronic device constructs a cross-sectional model based on the initial model based on the theoretical cross-sectional data.

[0094] This step can be achieved by following the steps (3-1) to (3-4), including:

[0095] (3-1) The electronic device generates multiple fault planes based on the initial model based on the theoretical fault data.

[0096] The theoretical fault data includes theoretical fault data of multiple position points. The electronic device connects the theoretical fault data of multiple position points on the basis of the initial model to generate multiple fault lines, and then connects the multiple fault lines to obtain multiple fault planes.

[0097] After the electronic device generates multiple fault planes, the multiple fault planes can be gridded, which makes it easier to adjust the shape.

[0098] Due to the structural deformation in the horizontal well construction area, multiple fault planes may intersect. For intersecting fault planes, perform the following steps (3-2) to (3-4). Independent fault planes do not affect each other and are displayed independently.

[0099] (3-2) For the first fault plane and the second fault plane, the electronic device determines a first area of ​​the first fault plane and a second area of ​​the second fault plane.

[0100] The first fault plane and the second fault plane are any two fault planes intersecting with each other among the multiple fault planes.

[0101] The electronic device can input the coordinates of each endpoint on the boundary of the first fault plane into the objective function to obtain the first area of ​​the first fault plane, and input the coordinates of each endpoint on the boundary of the second fault plane into the objective function to obtain the second area of ​​the second fault plane.

[0102] Of course, the electronic device may also determine the first area and the second area in other ways, which are not specifically limited.

[0103] (3-3) The electronic device determines the relationship between the first fault plane and the second fault plane based on the first area and the second area.

[0104] After determining the first area and the second area, the electronic device determines the area difference between the first area and the second area. If the area difference is within a preset range, the first fault plane and the second fault plane are determined to be in a parallel relationship; if the area difference is not within the preset range, the first fault plane and the second fault plane are determined to be in a subordinate relationship.

[0105] (3-4) The electronic device constructs a cross-sectional model based on the relationship between the first fault plane and the second fault plane.

[0106] If the first fault plane and the second fault plane are in a parallel relationship, the first fault plane and the second fault plane do not affect each other and are displayed independently. If the first fault plane and the second fault plane are in a subordinate relationship, and the first area is smaller than the second area, the first fault plane is cut off by the second fault plane; if the first fault plane and the second fault plane are in a subordinate relationship, and the second area is smaller than the first area, the second fault plane is cut off by the first fault plane. That is, if the two fault planes are in a subordinate relationship, the fault plane with a smaller area is cut off by the fault plane with a larger area.

[0107] The electronic device forms a cross-sectional model based on the initial model based on the relationship between the first fault plane and the second fault plane and other fault planes that do not intersect.

[0108] (4) The electronic equipment constructs a layer model based on the theoretical layer data and the cross-section model.

[0109] The theoretical stratigraphic data include theoretical stratigraphic data of a plurality of position points. The electronic device connects the theoretical stratigraphic data of the plurality of position points on the basis of the cross-section model to generate a plurality of stratigraphic lines, and then connects the plurality of stratigraphic lines to obtain a plurality of stratigraphic planes.

[0110] After the electronic device obtains multiple layer planes, it can also grid the multiple layer planes, and determine whether there are intersections between the multiple layer planes and the multiple fault planes based on the gridded layer planes. If there is an intersection, the electronic device determines whether the intersection line between the intersecting layer planes and the fault plane meets the preset conditions. If the preset conditions are met, no adjustment is required. If the preset conditions are not met, the layer plane is adjusted according to the trend of the layer plane so that the layer plane overlaps the fault plane, thereby ensuring the accuracy of the layer model.

[0111] The preset conditions may include whether the intersection line is smooth, whether the intersection line position is correct, etc., and no specific limitation is made thereto.

[0112] (5) Electronic equipment connects the stratigraphic planes and fault planes in the layer model to form a structural model.

[0113] Based on the layer model, the electronic equipment connects the layer planes and fault planes to generate a stratigraphic body surrounded by adjacent layer planes, fault planes and model boundaries, thereby obtaining a structural model to establish a framework for the subsequent attribute model. The structural model generated by this application can display a section at any position inside to observe the fault distribution characteristics and layer undulation. Figure 4 , Figure 4 A schematic diagram of a construction model.

[0114] In view of the severe structural deformation in the work area and the fact that previous drilling designs mainly relied on two-dimensional maps such as geological profiles, it is difficult to intuitively and comprehensively display complex geological structures and target locations. This application relies on three-dimensional complex geological modeling. In the three-dimensional visualization space, various information such as layer data, fault data, structural models, and well data can be comprehensively displayed in a three-dimensional scene. The layer data and fault data interpreted by the user, that is, theoretical layer data and theoretical fault data, can also be displayed in three-dimensional space. Seismic data can also be displayed on the layer surface or profile, or the display of surface data can be realized based on actual coordinate information. It can be seen that the structural model constructed by this application has special advantages in showing structural deformation characteristics, stratigraphic distribution trends, and three-dimensional reservoir morphology.

[0115] Step 202: The electronic device constructs a first velocity model based on the construction model.

[0116] The first velocity model is used to reflect the propagation velocity of seismic waves in the strata.

[0117] This step can be achieved by following the steps (1) to (4), including:

[0118] (1) The electronic device constructs an initial velocity model based on the construction model.

[0119] The electronic device obtains the second time-depth relationship curve of multiple constructed wells within the construction range of the target well. The second time-depth relationship curve is used to reflect the change relationship between the theoretical depth of the constructed wells and time, and is obtained by well logging before drilling construction.

[0120] Based on the construction model, the electronic device interpolates the second time-depth relationship curves of multiple constructed wells under the constraints of the theoretical layer data within the construction range of the target well, and performs extension according to the trend of the layer surface to obtain the first time-depth relationship model corresponding to the construction range of the target well. Based on the relationship between time, depth and velocity, the first time-depth relationship model is converted to obtain the initial velocity model. Among them, the relationship between time, depth and velocity is: depth = 1 / 2 time * velocity.

[0121] (2) The electronic equipment obtains the actual stratigraphic data of multiple constructed wells within the construction range of the target well.

[0122] The actual layer data of the multiple constructed wells are obtained during the actual drilling process. The electronic device can obtain the actual layer data of the multiple constructed wells input by the user, or can obtain the actual layer data of the multiple constructed wells sent by other devices, without specific limitation.

[0123] In the embodiment of the present application, after the electronic device obtains the actual layer data of multiple constructed wells, it can directly execute step (3), or it can obtain the theoretical layer data of multiple constructed wells, and then determine the matching degree between the theoretical layer data of multiple constructed wells and the actual layer data, and when the matching degree is not greater than the preset threshold, execute step (3). The theoretical layer data of multiple constructed wells are obtained before drilling.

[0124] The electronic device can determine the matching degree between the theoretical layer data and the actual layer data of each constructed well to obtain multiple matching degrees. The electronic device determines the average value of the multiple matching degrees. If the average value of the multiple matching degrees is not greater than a preset threshold, step (3) is executed.

[0125] Alternatively, the electronic device may also determine a matching degree greater than a preset threshold among multiple matching degrees, count the number of matching degrees greater than the preset threshold, and obtain a first number; determine a ratio of the first number to the total number, and if the ratio is not greater than the preset ratio, execute step (3). The total number is the number of multiple constructed wells.

[0126] (3) The electronic device determines a first time-depth relationship curve of the plurality of constructed wells based on actual stratigraphic data of the plurality of constructed wells.

[0127] For each constructed well, the electronic equipment determines the actual depth of each layer based on the actual layer data of the constructed well, and determines the first time-depth relationship curve of the constructed well based on the actual depth of each layer and the time when the seismic wave reaches each layer. The first time-depth relationship curve is used to reflect the change relationship between the actual depth of the constructed well and time.

[0128] (4) The electronic device corrects the initial velocity model based on the first time-depth relationship curves of the plurality of constructed wells to obtain a first velocity model.

[0129] Under the constraint of the actual layer data of the multiple constructed wells, the electronic device interpolates based on the first time-depth relationship curves of the multiple constructed wells to obtain a second time-depth relationship model.

[0130] The electronic device may convert the second time-depth relationship model based on the relationship between time, depth and speed to obtain a converted speed model, determine the inconsistent parts between the converted speed model and the initial speed model, and adjust the inconsistent parts based on the converted speed model on the basis of the initial speed model to obtain the first speed model.

[0131] Alternatively, the electronic device may also directly use the converted velocity model as the first velocity model.

[0132] Alternatively, the electronic device may also determine the inconsistent part between the second time-depth relationship model and the first time-depth relationship model, and adjust the inconsistent part based on the second time-depth relationship model and the first time-depth relationship model to obtain an adjusted time-depth relationship model. Based on the relationship between time, depth and speed, the adjusted time-depth relationship model is converted to obtain a first speed model.

[0133] See also Figure 5 , Figure 5 This is a comparison of the velocity model before and after correction. Figure 5 The upper figure is the velocity model before correction, and the lower figure is the velocity model after correction. Figure 5 It can be seen that the corrected velocity model can better reflect the formation morphology.

[0134] Step 203: The electronic device determines a first predicted depth when a first layer is encountered in the formation based on the first velocity model.

[0135] This step can be achieved by following the steps (1) to (4), including:

[0136] (1) The electronic device constructs a first attribute model based on the construction model.

[0137] The first attribute model is used to reflect the oil and gas characteristics of the formation.

[0138] The electronic device obtains the well logging curves corresponding to the oil and gas saturation of multiple constructed wells within the construction range of the target well, and interpolates the well logging curves corresponding to the oil and gas saturation of multiple constructed wells on the basis of the structural model to obtain the first attribute model. The first attribute model can reflect the underground oil and gas characteristics and provide a reference for later picking up well trajectories and determining the location of the target entry point.

[0139] In the embodiment of the present application, the electronic device can also construct other attribute models that can reflect underground lithology and physical properties according to the logging curves of different attributes, so as to provide a reference for the later evaluation of drilling geological characteristics. For example, according to the logging curve corresponding to the wave impedance, a wave impedance attribute model is constructed; according to the logging curve corresponding to the porosity, a porosity attribute model is constructed; according to the logging curve corresponding to the permeability, a permeability attribute model is constructed.

[0140] It should be noted that the electronic device can construct the first attribute model after obtaining the construction model, or after obtaining the first velocity model, or when constructing the initial velocity model. In the embodiment of the present application, the timing of constructing the first attribute model by the electronic device is not specifically limited.

[0141] In the modeling process of this application, structural interpretation data including fault data and stratigraphic data are the "skeleton" for establishing the structural model. In a three-dimensional scene, it is convenient to comprehensively and intuitively observe and verify the rationality of the structural interpretation data, check and update the data at any time, and quickly generate fault planes and stratigraphic planes based on the structural interpretation data. Relying on the above data, structural models and attribute models under various complex backgrounds are quickly established to comprehensively and intuitively display the well trajectory and the surrounding geological background, which is convenient for quality control during the drilling process. Therefore, pre-drilling geological evaluation, well trajectory design and real-time drilling correction based on three-dimensional structural models and attribute models can make drilling design and correction more convenient and rapid, and realize visual monitoring of these three important links, solve the problems of information closure, singleness and inconvenience in use in the drilling design process, and minimize drilling failures caused by insufficient information or analysis, thereby effectively improving the drilling success rate of complex geological targets.

[0142] (2) The electronic device converts the first attribute model from the time domain to the depth domain based on the first velocity model to obtain a second attribute model.

[0143] The first attribute model is a model in the time domain, and the first velocity model is a model in the depth domain. The electronic device converts the first attribute model from the time domain to the depth domain based on the first velocity model and the relationship between time, depth and velocity to obtain the second attribute model.

[0144] (3) The electronic device determines a first trajectory of the target well based on the second attribute model.

[0145] for Figure 3 In the example area shown, the vertical thickness of the tight gas development layer is less than 20 meters, the target layer is relatively thin, and the corresponding seismic data response characteristics are not obvious. At the same time, the horizontal well must avoid faults when approaching the target layer. Therefore, the well trajectory design is difficult. If the well trajectory is designed based on the three-dimensional model, according to the structure, reservoir and oil and gas reservoir distribution characteristics reflected by the attribute model, combined with the drilling construction requirements, it will provide accurate guidance for drilling construction.

[0146] In an embodiment of the present application, the electronic device determines the initial trajectory of the target well in the second attribute model based on the fault distribution and target layer position reflected by the second attribute model, determines the location of the favorable oil and gas zones and the extension direction of the horizontal wells through the reservoir sensitive attributes, and combines the drilling construction requirements, especially avoiding the faults above the reservoir. Finally, the complete shape of the initial trajectory is comprehensively and intuitively viewed in the three-dimensional second attribute model, and adjustments are made to unreasonable places to obtain the first trajectory.

[0147] In an embodiment of the present application, based on the stratigraphic data, fault data and well data, an initial model, a cross-sectional model, a layer model and a structural model are sequentially created during the modeling process. Under the framework constraints of the structural model, a velocity model and an attribute model are generated by interpolating the logging curves, and the three-dimensional design of the well trajectory is realized within the attribute model.

[0148] See also Figure 6 The target layer in the example area is distributed in a nearly horizontal direction in the attribute model, and tight gas is enriched in reservoirs. The well trajectory is vertically downward at the top, and enters the horizontal section along the layer after approaching the target layer.

[0149] (4) The electronic device determines a first predicted depth based on the first trajectory.

[0150] The first predicted depth is the depth corresponding to the drilling construction of the target well at the current stage.

[0151] Since the second attribute model is a model in the depth domain, the predicted depth of each layer can be displayed on the second attribute model. The electronic device determines the first predicted depth of the first layer from the second attribute model based on the first trajectory, and then the construction personnel can perform drilling construction based on the first trajectory and the first predicted depth.

[0152] In an embodiment of the present application, the electronic device can also determine the predicted depth of each remaining layer and the predicted depth of the target point on the second attribute model based on the first trajectory, providing an approximate range for the drilling construction.

[0153] Step 204: The electronic device obtains the first actual depth of the target well when the first layer is encountered.

[0154] The electronic device obtains an input of a first actual depth when a first layer is encountered during a drilling construction process based on a first trajectory and a first predicted depth.

[0155] The electronic device may determine an error between the first actual depth and the first predicted depth, and use this as a reference for the magnitude of the correction amount.

[0156] Step 205: The electronic device corrects the first velocity model based on the first actual depth to obtain a second velocity model.

[0157] The electronic device determines a third time-depth relationship curve of the target well from the wellhead position to the first layer based on the first actual depth and the time when the seismic wave reaches the first layer, and corrects the position of the target well in the first velocity model based on the third time-depth relationship curve and the relationship between time, depth and velocity to obtain a second velocity model.

[0158] Step 206: The electronic device determines a second predicted depth when a second layer is encountered in the formation based on the second velocity model.

[0159] The second predicted depth is the depth corresponding to the drilling construction of the target well in the next stage.

[0160] Based on the second velocity model, the electronic device reconverts the first attribute model from the time domain to the depth domain to obtain a third attribute model; based on the third attribute model, the second trajectory of the target well is determined. The process of the electronic device determining the conversion of the first attribute model and the process of determining the second trajectory based on the converted third attribute model are respectively the same as steps (2) and (3) in step 203, and are not described in detail here.

[0161] The electronic device determines the second predicted depth based on the second trajectory. The process is as follows: the electronic device determines the second predicted depth of the second layer based on the third attribute model based on the second trajectory, and then the construction personnel continue drilling construction based on the second trajectory and the second predicted depth.

[0162] The electronic device can also determine the predicted depths of the remaining layers and the predicted depth of the target point based on the second trajectory and the third attribute model, providing an approximate range for the drilling construction.

[0163] Step 207: The electronic device obtains a second actual depth of the target well when drilling into a second layer.

[0164] The electronic device obtains the input second actual depth when the second layer is encountered during the drilling construction process based on the second trajectory and the second predicted depth. In addition, the electronic device can also determine the error between the second actual depth and the second predicted depth.

[0165] Step 208: The electronic device corrects the second velocity model based on the second actual depth to obtain a third velocity model; and so on, repeatedly correcting the velocity model corresponding to the corresponding layer based on the actual depth of the layer until the third predicted depth of the target point is obtained.

[0166] The target well is used to drill into the target layer based on the third predicted depth, and the target entry point is the position where the target well drills into the target layer.

[0167] The electronic device determines a fourth time-depth relationship curve of the target well from the wellhead position to the second layer based on the second actual depth and the time when the seismic wave reaches the second layer, and corrects the position of the target well in the second velocity model based on the fourth time-depth relationship curve and the relationship between time, depth and velocity to obtain a third velocity model.

[0168] The electronic device determines the fourth predicted depth when the third layer is encountered in the formation based on the third velocity model, and the construction personnel continue drilling construction based on the fourth predicted depth, obtain the third actual depth of the target well when the third layer is encountered, and correct the third velocity model based on the third actual depth to obtain the fourth velocity model. By analogy, the step of correcting the velocity model corresponding to the corresponding layer based on the actual depth of the layer is repeated until the third predicted depth of the target point is obtained.

[0169] Among them, when the electronic device determines the fourth predicted depth, it can also determine the predicted depths of the remaining layers and the predicted depth of the target point, and after obtaining the third actual depth, it can determine the error between the third actual depth and the fourth predicted depth. It can be seen that when the electronic device determines the predicted depth of each layer, it can also determine the predicted depths of the remaining layers and the predicted depth of the target point, and after obtaining the actual depth of each layer, it can determine the error between the actual depth of the layer and the predicted depth. In addition, the electronic device can also determine the error between the initial predicted depth and the actual depth of each layer, and the initial predicted depth is obtained based on the first velocity model.

[0170] Table 1

[0171]

[0172] Continuing to use the example area as an example for explanation, see Table 1. In Table 1, the first column from top to bottom are the layers and target points from shallow to deep, the second column is the initial predicted depth of each layer and target point determined by the first velocity model, the third column is the actual depth of the first layer and the predicted depths of the remaining layers and target points determined by the second velocity model, the fourth column is the actual depth of the first layer, the actual depth of the second layer, and the predicted depth of the third layer and target point determined by the third velocity model, the fifth column is the actual depth of the first layer, the actual depth of the second layer, the actual depth of the third layer, and the predicted depth of the target point, the sixth column is the actual depth of each layer and target point, the seventh column is the error between the initial predicted depth and the actual depth of each layer and target point determined by the first velocity model, and the eighth column is the error between the predicted depth and the actual depth of each layer and target point determined by the corrected velocity model.

[0173] It can be seen from Table 1 that the error between the initial predicted depth of each layer determined by the first velocity model and the actual depth is large, but the error between the predicted depth of each layer determined by the continuous correction of the velocity model and the actual depth is small, and the error is constantly decreasing, and the arrangement is in an "inverted triangle" shape. And from the last column in Table 1, it can be seen that the error between the predicted depth of each layer determined by the continuous correction of the velocity model and the actual depth is constantly decreasing, gradually approaching the true depth, which can be obtained based on the error between the predicted depth and the actual depth of the target point. It can be seen that the predicted depth of the target point determined by the corrected velocity model is 5392.92m, while the actual depth is 5390.16m, with a difference of only 2.76m.

[0174] The following will be combined Figure 7 The method provided by this application is described. Figure 7 The electronic equipment performs three-dimensional modeling based on the layer data and fault data to obtain a structural model, then establishes an initial velocity model based on the structural model, corrects the initial velocity model, performs time-depth conversion on the attribute model based on the corrected velocity model, designs the well trajectory based on the attribute model after time-depth conversion and determines the predicted depth, and performs drilling construction according to the well trajectory and predicted depth. The velocity model is corrected according to the actual depth of the layer encountered during the actual drilling construction, and this is repeated until the predicted depth of the target point is determined.

[0175] This application realizes real-time correction of drilling in a three-dimensional model by creating an "inverted triangle layer-by-layer approximation method". The construction well continuously encounters new layers, and the actual depth of the newly encountered layers is used to correct the current velocity model. The attribute model is then updated with the corrected velocity model to re-predict the depth of the undrilled layers and the target point to guide subsequent drilling construction. As the number of layers encountered by drilling increases, the number of times the velocity model is corrected increases, and the re-obtained predicted depth is closer to the actual depth. In practical applications, this method is used to quickly update the trajectory of the well under construction in the constructed three-dimensional model, and during the drilling process, the actual depth of the on-site layer is automatically compared with the predicted depth. The attribute model is converted into time and depth through the velocity model, and the attribute model in the depth domain is quickly updated, thereby updating the predicted depth of the undrilled layers and the predicted depth of the target point.

[0176] The method provided in this application can continuously approach the real underground model, provide a more intuitive and reliable basis for oil and gas geological evaluation, and at the same time add the actual drilling trajectory to the model for display, showing the existing location information of the construction well and planning the next drilling direction.

[0177] In addition, drilling construction parameters can be added to the structural model to establish a drilling construction model, and the drilling construction model can be updated according to the actual drilling construction parameters to restore the true underground geological conditions, predict high-risk areas, adjust the drilling plan in real time, and avoid drilling risks as much as possible.

[0178] The embodiment of the present application provides a drilling method, which first generates a velocity model, then determines the predicted depth of the first layer through the velocity model, and performs drilling construction according to the predicted depth of the first layer. When the first layer is drilled, the velocity model is corrected according to the actual depth of the first layer, and the predicted depth of the second layer is determined by the corrected velocity model, and the drilling construction is performed according to the predicted depth of the second layer. When the second layer is drilled, the velocity model is corrected again according to the actual depth of the second layer, and the predicted depth of the third layer is determined according to the corrected velocity model. And so on, until the predicted depth of the entry and exit points is determined. It can be seen that as the number of layers encountered by drilling gradually increases, the number of times the velocity model is corrected continues to increase, and the predicted depth determined according to the corrected velocity model is closer to the actual depth. Therefore, the position of the entry point is determined more accurately, thereby improving the accuracy of drilling into the target layer.

[0179] Compared with previous methods, the method provided in this application helps to efficiently and accurately complete pre-drilling geological evaluation, well trajectory design and real-time drilling correction. After testing, the error rate of the predicted depth of the target point is less than 0.2%, which significantly shortens the time consumption and increases the work efficiency by 5 times, which helps to break the foreign technology monopoly and has achieved good results in the application in the Sichuan Basin and Ordos Basin.

[0180] Figure 8 is a structural schematic diagram of a drilling device provided in an embodiment of the present application, see Figure 8 , the device comprises:

[0181] The first acquisition module 801 is used to acquire a structural model, which is used to reflect the structural form of the stratum within the construction range of the target well in three-dimensional space, and the stratum includes multiple layers;

[0182] A first construction module 802 is used to construct a first velocity model based on the structural model, where the first velocity model is used to reflect the propagation velocity of seismic waves in the stratum;

[0183] The first determination module 803 is used to determine the first predicted depth when the first layer is encountered in the formation based on the first velocity model; wherein the first predicted depth is the depth corresponding to the drilling operation of the target well at the current stage;

[0184] The first correction module 804 is used to obtain a first actual depth when the first layer is encountered during the actual drilling process; based on the first actual depth, the first velocity model is corrected to obtain a second velocity model;

[0185] The second determination module 805 is used to determine a second predicted depth when a second layer is encountered in the formation based on the second velocity model; wherein the second predicted depth is the depth corresponding to the drilling operation of the target well in the next stage;

[0186] The second correction module 806 is used to obtain the second actual depth when the second layer is encountered during the actual drilling process; based on the second actual depth, the second velocity model is corrected to obtain a third velocity model; and so on, the step of correcting the velocity model corresponding to the layer based on the actual depth of the corresponding layer is repeated until the third predicted depth of the target point is obtained; wherein the third predicted depth is the depth corresponding to the target well encountering the target layer, and the target point is the position where the target well encounters the target layer.

[0187] In one possible implementation, the first determination module 803 is used to construct a first attribute model based on the structural model, and the first attribute model is used to reflect the oil and gas characteristics of the formation; based on the first velocity model, the first attribute model is converted from the time domain to the depth domain to obtain a second attribute model; based on the second attribute model, the first trajectory of the target well is determined; based on the first trajectory, the first predicted depth is determined.

[0188] In another possible implementation, the second determination module 805 is used to reconvert the first attribute model from the time domain to the depth domain based on the second velocity model to obtain a third attribute model; determine the second trajectory of the target well based on the third attribute model; and determine the second predicted depth based on the second trajectory.

[0189] In another possible implementation, the first construction module 802 is used to construct an initial velocity model based on the structural model; obtain actual stratigraphic data of multiple constructed wells within the construction range of the target well; determine first time-depth relationship curves of multiple constructed wells based on the actual stratigraphic data of the multiple constructed wells; wherein the first time-depth relationship curve is used to reflect the relationship between the actual depth of the constructed wells and time; and correct the initial velocity model based on the first time-depth relationship curves of the multiple constructed wells to obtain a first velocity model.

[0190] In another possible implementation, the device further includes:

[0191] The second acquisition module is used to acquire theoretical layer data of multiple constructed wells;

[0192] The third determination module is used to determine the matching degree between the theoretical layer data and the actual layer data;

[0193] The first construction module 802 is further used to determine a first time-depth relationship curve of the plurality of constructed wells based on the actual layer data of the plurality of constructed wells when the matching degree is not greater than a preset threshold.

[0194] In another possible implementation, the first acquisition module 801 is used to construct an initial model based on the construction scope of the target well; obtain theoretical fault data and theoretical stratigraphic data within the construction scope of the target well; construct a section model based on the initial model based on the theoretical fault data; construct a layer model based on the section model based on the theoretical stratigraphic data; connect the layer planes and fault planes in the layer model to form a structural model.

[0195] In another possible implementation, the first acquisition module 801 is used to generate multiple fault planes based on the initial model based on theoretical fault data; for the first fault plane and the second fault plane, determine the first area of ​​the first fault plane and the second area of ​​the second fault plane; wherein the first fault plane and the second fault plane are fault planes that intersect among the multiple fault planes; based on the first area and the second area, determine the relationship between the first fault plane and the second fault plane; based on the relationship between the first fault plane and the second fault plane, construct a cross-sectional model.

[0196] In another possible implementation, the first acquisition module 801 is used to determine that the first fault plane and the second fault plane are in a parallel relationship if the area difference between the first area and the second area is within a preset range; if the area difference is not within the preset range, determine that the first fault plane and the second fault plane are in a subordinate relationship.

[0197] The embodiment of the present application provides a drilling device, which first generates a velocity model, then determines the predicted depth of the first layer through the velocity model, and performs drilling construction according to the predicted depth of the first layer. When the first layer is drilled, the velocity model is corrected according to the actual depth of the first layer, and the predicted depth of the second layer is determined by the corrected velocity model, and the drilling construction is performed according to the predicted depth of the second layer. When the second layer is drilled, the velocity model is corrected again according to the actual depth of the second layer, and the predicted depth of the third layer is determined according to the corrected velocity model. And so on, until the predicted depth of the entry and exit points is determined. It can be seen that as the number of layers encountered by drilling gradually increases, the number of times the velocity model is corrected continues to increase, and the predicted depth determined according to the corrected velocity model is closer to the actual depth. Therefore, the position of the entry point is determined more accurately, thereby improving the accuracy of drilling into the target layer.

[0198] refer to Fig. 9 , Fig. 9The structure block diagram of a terminal 900 provided by an exemplary embodiment of the present application is shown. The terminal 900 may be a portable mobile terminal, such as a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III), an MP4 player (Moving Picture Experts Group Audio Layer IV), a laptop computer or a desktop computer. The terminal 900 may also be called a user device, a portable terminal, a laptop terminal, a desktop terminal or other names.

[0199] Typically, the terminal 900 includes a processor 901 and a memory 902 .

[0200] The processor 901 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 901 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 901 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 901 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 901 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0201] The memory 902 may include one or more computer-readable storage media, which may be non-transitory. The memory 902 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 902 is used to store at least one program code, which is used to be executed by the processor 901 to implement the drilling method provided in the method embodiment of the present application.

[0202] In some embodiments, the terminal 900 may further optionally include: a peripheral device interface 903 and at least one peripheral device. The processor 901, the memory 902 and the peripheral device interface 903 may be connected via a bus or a signal line. Each peripheral device may be connected to the peripheral device interface 903 via a bus, a signal line or a circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 904, a display screen 905, a camera assembly 906, an audio circuit 907 and a power supply 908.

[0203] The peripheral device interface 903 may be used to connect at least one peripheral device related to I / O (Input / Output) to the processor 901 and the memory 902. In some embodiments, the processor 901, the memory 902, and the peripheral device interface 903 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 901, the memory 902, and the peripheral device interface 903 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

[0204] The radio frequency circuit 904 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 904 communicates with communication networks and other communication devices through electromagnetic signals. The radio frequency circuit 904 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals into electrical signals. Optionally, the radio frequency circuit 904 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, and the like. The radio frequency circuit 904 can communicate with other terminals through at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: the World Wide Web, a metropolitan area network, an intranet, various generations of mobile communication networks (2G, 3G, 4G and 5G), a wireless local area network and / or a WiFi (Wireless Fidelity) network. In some embodiments, the radio frequency circuit 904 may also include circuits related to NFC (Near Field Communication), which is not limited in this application.

[0205] The display screen 905 is used to display the UI (User Interface). The UI may include graphics, text, icons, videos, and any combination thereof. When the display screen 905 is a touch display screen, the display screen 905 also has the ability to collect touch signals on the surface or above the surface of the display screen 905. The touch signal can be input to the processor 901 as a control signal for processing. At this time, the display screen 905 can also be used to provide virtual buttons and / or virtual keyboards, also known as soft buttons and / or soft keyboards. In some embodiments, the display screen 905 can be one, set on the front panel of the terminal 900; in other embodiments, the display screen 905 can be at least two, respectively set on different surfaces of the terminal 900 or in a folding design; in other embodiments, the display screen 905 can be a flexible display screen, set on the curved surface or folding surface of the terminal 900. Even, the display screen 905 can also be set to a non-rectangular irregular shape, that is, a special-shaped screen. The display screen 905 can be made of materials such as LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode, organic light-emitting diode).

[0206] The camera assembly 906 is used to capture images or videos. Optionally, the camera assembly 906 includes a front camera and a rear camera. Typically, the front camera is arranged on the front panel of the terminal, and the rear camera is arranged on the back of the terminal. In some embodiments, there are at least two rear cameras, which are any one of a main camera, a depth of field camera, a wide-angle camera, and a telephoto camera, so as to realize the fusion of the main camera and the depth of field camera to realize the background blur function, the fusion of the main camera and the wide-angle camera to realize panoramic shooting and VR (Virtual Reality) shooting function or other fusion shooting functions. In some embodiments, the camera assembly 906 may also include a flash. The flash can be a monochrome temperature flash or a dual-color temperature flash. A dual-color temperature flash refers to a combination of a warm light flash and a cold light flash, which can be used for light compensation at different color temperatures.

[0207] The audio circuit 907 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, and convert the sound waves into electrical signals and input them into the processor 901 for processing, or input them into the radio frequency circuit 904 to achieve voice communication. For the purpose of stereo acquisition or noise reduction, there may be multiple microphones, which are respectively arranged at different parts of the terminal 900. The microphone may also be an array microphone or an omnidirectional acquisition microphone. The speaker is used to convert the electrical signal from the processor 901 or the radio frequency circuit 904 into sound waves. The speaker may be a traditional film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can not only convert the electrical signal into sound waves audible to humans, but also convert the electrical signal into sound waves inaudible to humans for purposes such as ranging. In some embodiments, the audio circuit 907 may also include a headphone jack.

[0208] The power supply 908 is used to power various components in the terminal 900. The power supply 908 can be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power supply 908 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery charged through a wired line, and a wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0209] In some embodiments, the terminal 900 further includes one or more sensors 909 . The one or more sensors 909 include, but are not limited to: an acceleration sensor 910 , a gyroscope sensor 911 , a pressure sensor 912 , an optical sensor 913 , and a proximity sensor 914 .

[0210] The acceleration sensor 910 can detect the magnitude of acceleration on the three coordinate axes of the coordinate system established by the terminal 900. For example, the acceleration sensor 910 can be used to detect the components of gravity acceleration on the three coordinate axes. The processor 901 can control the display screen 905 to display the user interface in a horizontal view or a vertical view based on the gravity acceleration signal collected by the acceleration sensor 910. The acceleration sensor 910 can also be used for collecting game or user motion data.

[0211] The gyro sensor 911 can detect the body direction and rotation angle of the terminal 900, and the gyro sensor 911 can cooperate with the acceleration sensor 910 to collect the user's 3D actions on the terminal 900. Based on the data collected by the gyro sensor 911, the processor 901 can implement the following functions: motion sensing (such as changing the UI based on the user's tilt operation), image stabilization during shooting, game control, and inertial navigation.

[0212] The pressure sensor 912 can be set in the side frame of the terminal 900 and / or the lower layer of the display screen 905. When the pressure sensor 912 is set in the side frame of the terminal 900, the user's holding signal of the terminal 900 can be detected, and the processor 901 performs left and right hand recognition or shortcut operation based on the holding signal collected by the pressure sensor 912. When the pressure sensor 912 is set in the lower layer of the display screen 905, the processor 901 controls the operability controls on the UI interface based on the user's pressure operation on the display screen 905. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.

[0213] The optical sensor 913 is used to collect the ambient light intensity. In one embodiment, the processor 901 can control the display brightness of the display screen 905 based on the ambient light intensity collected by the optical sensor 913. Specifically, when the ambient light intensity is high, the display brightness of the display screen 905 is increased; when the ambient light intensity is low, the display brightness of the display screen 905 is reduced. In another embodiment, the processor 901 can also dynamically adjust the shooting parameters of the camera component 906 based on the ambient light intensity collected by the optical sensor 913.

[0214] The proximity sensor 914, also called a distance sensor, is usually arranged on the front panel of the terminal 900. The proximity sensor 914 is used to collect the distance between the user and the front of the terminal 900. In one embodiment, when the proximity sensor 914 detects that the distance between the user and the front of the terminal 900 is gradually decreasing, the processor 901 controls the display screen 905 to switch from the screen-on state to the screen-off state; when the proximity sensor 914 detects that the distance between the user and the front of the terminal 900 is gradually increasing, the processor 901 controls the display screen 905 to switch from the screen-off state to the screen-on state.

[0215] Those skilled in the art will understand that Fig. 9 The structure shown in the figure does not constitute a limitation on the terminal 900, and the terminal 900 may include more or less components than those shown in the figure, or combine some components, or adopt a different component arrangement.

[0216] In an exemplary embodiment, a computer-readable storage medium is also provided. The computer-readable medium stores at least one program code. The at least one program code is loaded and executed by a processor to implement the drilling method in the above embodiment.

[0217] In an exemplary embodiment, a computer program product is also provided. The computer program product stores at least one program code, and the at least one program code is loaded and executed by a processor to implement the drilling method in the above embodiment.

[0218] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0219] The above description is only for the purpose of facilitating those skilled in the art to understand the technical solution of the present application and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A drilling method, characterized in that: The method comprises: Acquire a structural model, where the structural model is used to reflect the structural morphology of a stratum within the construction range of the target well in three-dimensional space, where the stratum includes multiple layers; Based on the structural model, construct a first velocity model, wherein the first velocity model is used to reflect the propagation velocity of seismic waves in the stratum; Based on the first velocity model, determining a first predicted depth when a first layer is encountered in the formation; wherein the first predicted depth is a depth corresponding to the drilling construction of the target well at the current stage; Acquire a first actual depth of the target well when drilling into the first layer; based on the first actual depth, correct the first velocity model to obtain a second velocity model; Based on the second velocity model, determining a second predicted depth when a second layer is encountered in the formation; wherein the second predicted depth is a depth corresponding to the drilling construction of the target well in the next stage; Acquire a second actual depth of the target well when drilling into the second layer; based on the second actual depth, correct the second velocity model to obtain a third velocity model; By analogy, the step of correcting the velocity model corresponding to the layer based on the actual depth of the corresponding layer is repeated until a third predicted depth of the target entry point is obtained; wherein the third predicted depth is the depth corresponding to the target well encountering the target layer, and the target entry point is the position where the target well encounters the target layer.

2. The method according to claim 1, characterized in that Determining a first predicted depth when drilling into a first layer in the formation based on the first velocity model includes: Based on the structural model, construct a first attribute model, wherein the first attribute model is used to reflect the oil and gas characteristics of the formation; Based on the first velocity model, converting the first attribute model from the time domain to the depth domain to obtain a second attribute model; determining a first trajectory of the target well based on the second attribute model; Based on the first trajectory, the first predicted depth is determined.

3. The method according to claim 2, characterized in that Determining a second predicted depth when drilling into a second layer in the formation based on the second velocity model includes: Based on the second velocity model, reconverting the first attribute model from the time domain to the depth domain to obtain a third attribute model; Determining a second trajectory of the target well based on the third attribute model; Based on the second trajectory, the second predicted depth is determined.

4. The method according to claim 1, characterized in that The step of constructing a first velocity model based on the construction model comprises: Based on the structural model, construct an initial velocity model; Acquire actual stratigraphic data of multiple constructed wells within the construction range of the target well; Based on the actual layer data of the multiple constructed wells, determining a first time-depth relationship curve of the multiple constructed wells; wherein the first time-depth relationship curve is used to reflect the change relationship between the actual depth of the constructed wells and time; The initial velocity model is corrected based on the first time-depth relationship curves of the plurality of constructed wells to obtain the first velocity model.

5. The method according to claim 4, characterized in that The method further comprises: Acquiring theoretical stratigraphic data of the plurality of constructed wells; Determining the degree of matching between the theoretical horizon data and the actual horizon data; When the matching degree is not greater than a preset threshold, the step of determining a first time-depth relationship curve of the plurality of constructed wells based on the actual layer data of the plurality of constructed wells is performed.

6. The method according to claim 1, characterized in that The obtaining of the construction model comprises: Based on the construction scope of the target well, construct an initial model; Acquiring theoretical fault data and theoretical layer data within the construction range of the target well; Based on the theoretical fault data, construct a cross-section model on the basis of the initial model; Based on the theoretical stratigraphic data, constructing a stratigraphic model on the basis of the cross-sectional model; The stratigraphic planes and fault planes in the layer model are connected to form the structural model.

7. The method according to claim 6, characterized in that The step of constructing a cross-section model based on the theoretical fault data and on the basis of the initial model comprises: Based on the theoretical fault data, generating multiple fault planes on the basis of the initial model; For a first fault plane and a second fault plane, determining a first area of ​​the first fault plane and a second area of ​​the second fault plane; wherein the first fault plane and the second fault plane are fault planes that intersect among the plurality of fault planes; Based on the first area and the second area, determining a relationship between the first fault plane and the second fault plane; The cross-section model is constructed based on the relationship between the first fault plane and the second fault plane.

8. The method according to claim 7, characterized in that The determining, based on the first area and the second area, a relationship between the first fault plane and the second fault plane comprises: If the area difference between the first area and the second area is within a preset range, determining that the first fault plane and the second fault plane are in a parallel relationship; If the area difference is not within the preset range, it is determined that the first fault plane and the second fault plane are in a subordinate relationship.

9. A drilling device, characterized in that: The device comprises: A first acquisition module is used to acquire a structural model, wherein the structural model is used to reflect the structural morphology of a stratum within the construction range of a target well in three-dimensional space, wherein the stratum includes multiple layers; A first construction module is used to construct a first velocity model based on the structural model, wherein the first velocity model is used to reflect the propagation velocity of seismic waves in the stratum; A first determination module is used to determine, based on the first velocity model, a first predicted depth when a first layer is encountered in the formation; wherein the first predicted depth is a depth corresponding to the drilling construction of the target well at the current stage; A first correction module is used to obtain a first actual depth of the target well when the target well encounters the first layer; based on the first actual depth, the first velocity model is corrected to obtain a second velocity model; A second determination module is used to determine a second predicted depth when a second layer is encountered in the formation based on the second velocity model; wherein the second predicted depth is a depth corresponding to the drilling construction of the target well in the next stage; The second correction module is used to obtain the second actual depth of the target well when drilling into the second layer; based on the second actual depth, the second velocity model is corrected to obtain a third velocity model; and by analogy, the step of correcting the velocity model corresponding to the layer based on the actual depth of the corresponding layer is repeated until a third predicted depth of the target entry point is obtained; wherein the third predicted depth is the depth corresponding to the target well encountering the target layer, and the target entry point is the position where the target well encounters the target layer.

10. An electronic device, characterized in that: The electronic device includes a processor and a memory, wherein the memory stores at least one program code, and the at least one program code is loaded and executed by the processor to implement the drilling method according to any one of claims 1 to 8.

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