Horizontal well while-drilling geological early warning method and device

Abstract

The embodiment of the invention discloses a horizontal well while-drilling geological early warning method and device. The method comprises the following steps: acquiring adjacent well data and designed horizontal well trajectory data, and establishing a first geosteering model of a designed well according to the adjacent well data and the designed horizontal well trajectory data; acquiring actual drilling data of the first drilling, and loading the actual drilling data of the first drilling to the first geosteering model to obtain a second geosteering model of the actual drilling; real drilling data in the drilling process are obtained in real time, the second geosteering model is updated according to the real drilling data obtained in real time, a geosteering stage is determined based on the first geosteering model and the second geosteering model, and an early warning mechanism and an early warning threshold value corresponding to the geosteering stage are determined; a first early warning parameter and a second early warning parameter are obtained, and horizontal well while-drilling geological early warning is conducted according to the first early warning parameter, the second early warning parameter, the early warning mechanism and the early warning threshold value. Therefore, the non-production time and the windowing failure rate are reduced, and the drilling rate of the reservoir is improved.

Description

Technical Field

[0001] This application relates to the field of oil drilling technology, specifically to a method and device for geological early warning while drilling horizontal wells. Background Technology

[0002] During horizontal well drilling, precisely controlling the well trajectory to enter the target formation and ensuring that the entire horizontal section traverses within high-quality reservoirs are the core objectives of geological decision-making while drilling. Real-time early warning and dynamic adjustments can significantly improve reservoir encounter rates by reducing the risks of landing failure and trajectory deviation.

[0003] Currently, traditional geological steering techniques primarily rely on measurement while drilling (MWD) and logging while drilling (LWD) to obtain engineering and geological parameters, and then construct stratigraphic correlation and geological steering models based on these data. Core methods include: simulation-comparison-model iterative update; directional measurement steering; boundary inversion steering; and seismic inversion structural geological body steering. Based on these methods, traditional techniques analyze the seismic and logging response characteristics of well logging curves in the reservoir to locate the drill bit's position in the target layer in real time and invert the reservoir boundary, ultimately achieving dynamic adjustment and control of the horizontal well trajectory.

[0004] Conventional geological steering methods have a significant drawback: during trajectory drilling, the initial geological model often differs considerably from the actual drilling results, and there is a lack of a collaborative early warning mechanism for multiple geological and engineering parameters. Conventional geological steering relies on human experience for landing segment entry analysis and horizontal segment location analysis, resulting in lag and insufficient accuracy in trajectory adjustment and decision-making. Summary of the Invention

[0005] In view of the above problems, this application is made in order to provide a method, apparatus, computing device, computer storage medium and computer program product for geological early warning while drilling in horizontal wells that overcomes or at least partially solves the above problems.

[0006] According to one aspect of the embodiments of this application, a method for geological early warning while drilling in horizontal wells is provided, comprising: Acquire adjacent well data and design horizontal well trajectory data, and establish the first geological steering model of the design well based on the adjacent well data and design horizontal well trajectory data; Obtain the actual drilling data corresponding to the first drilling, load the actual drilling data corresponding to the first drilling into the first geological steering model, and obtain the second geological steering model of the actual drilling; acquire the actual drilling data during the drilling process in real time, and update the second geological steering model based on the real-time acquired actual drilling data during the drilling process. Based on the first and second geological guidance models, the geological guidance stage corresponding to the drilling is determined, and the early warning mechanisms and corresponding early warning thresholds that are related to the geological guidance stage are queried. Based on the early warning mechanism, the first early warning parameter is obtained from the first geological steering model, and the second early warning parameter is obtained from the second geological steering model. Based on the first early warning parameter, the second early warning parameter, the early warning mechanism, and the corresponding early warning threshold, geological early warning for horizontal wells during drilling is performed.

[0007] Furthermore, based on the first and second geological steering models, the geological steering stage corresponding to the drilling is further determined to include: Based on the second geological guidance model, the current spatial position of the actual drilling trajectory is obtained; Query the spatial location of the target point's designed trajectory from the first geological guidance model; The current spatial position of the actual drilling trajectory is compared with the spatial position of the designed trajectory of the target point. Based on the comparison results, the geological steering stage corresponding to the drilling is determined. The geological steering stage includes the landing section and the horizontal section.

[0008] Furthermore, the early warning mechanism includes: marker layer early warning, curve anomaly early warning, trajectory deviation early warning, window entry risk early warning, and layer interface early warning; The early warning mechanisms for the landing phase include: core early warning mechanisms: marker layer early warning, trajectory deviation early warning, and entry window risk early warning; and auxiliary early warning mechanisms: curve anomaly early warning. The early warning mechanisms corresponding to the horizontal segment include: core early warning mechanisms: trajectory deviation early warning and layer interface early warning; auxiliary early warning mechanisms: curve anomaly early warning.

[0009] Furthermore, the method also includes: dynamically adjusting the reservoir type identification judgment conditions based on the reservoir type identified in real time, determining the non-reservoir type identification judgment conditions based on the dynamically adjusted reservoir type identification judgment conditions, and determining whether to trigger the curve anomaly warning based on the non-reservoir type identification judgment conditions.

[0010] Furthermore, the method also includes: determining the risk level of the early warning based on the type of early warning mechanism triggered and the number of early warnings; Based on the risk level of the early warning, a response plan will be dynamically pushed out and / or other early warning mechanisms will be activated for review.

[0011] Furthermore, the dynamic push of response plans and / or the activation of other early warning mechanisms based on the early warning risk level for review further includes: If the risk level of the warning is the highest risk warning, other warning mechanisms will be activated in conjunction for review, and an emergency report containing trajectory adjustment parameters will be generated. If the risk level of the warning is the second risk warning, a log file will be generated and the monitoring information will be marked.

[0012] Furthermore, the method also includes: dynamically adjusting the early warning threshold corresponding to the early warning mechanism based on actual drilling data.

[0013] Furthermore, actual drilling data includes: well deviation data, conventional logging data, and logging-while-drilling data; The second geological steering model is further updated based on real-time drilling data acquired during the drilling process, including: Update the actual drilling trajectory in the second geological steering model based on well inclination data; The logging curves and gas logging curves in the horizontal channels of the second geological steering model are updated based on conventional logging data and logging-while-drilling data.

[0014] Furthermore, the method also includes: obtaining the early warning feedback result corresponding to any early warning mechanism, calculating the early warning false alarm rate based on the early warning feedback result, and if the early warning false alarm rate is greater than the preset false alarm rate threshold, adjusting the early warning threshold corresponding to the early warning mechanism or reducing the priority corresponding to the early warning mechanism.

[0015] According to another aspect of the embodiments of this application, a horizontal well drilling geological early warning device is provided, comprising: A module is established to acquire adjacent well data and design horizontal well trajectory data. Based on the adjacent well data and design horizontal well trajectory data, a first geological steering model for the design well is established. The update module is suitable for acquiring the actual drilling data corresponding to the first drilling, loading the actual drilling data corresponding to the first drilling into the first geological steering model to obtain the second geological steering model of the actual drilling; acquiring the actual drilling data during the drilling process in real time, and updating the second geological steering model based on the real-time acquired actual drilling data during the drilling process. The processing module is suitable for determining the geological guidance stage corresponding to drilling based on the first geological guidance model and the second geological guidance model, and querying the early warning mechanism and corresponding early warning threshold that are related to the geological guidance stage; The early warning module is suitable for obtaining first early warning parameters from the first geological guidance model and second early warning parameters from the second geological guidance model according to the early warning mechanism, and for performing geological early warning while drilling horizontal wells based on the first early warning parameters, the second early warning parameters, the early warning mechanism and the corresponding early warning threshold.

[0016] According to another aspect of the embodiments of this application, a computing device is provided, including: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus; The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the above-mentioned horizontal well drilling geological early warning method.

[0017] According to another aspect of the embodiments of this application, a computer storage medium is provided, wherein at least one executable instruction is stored in the storage medium, the executable instruction causing a processor to perform operations corresponding to the above-described horizontal well drilling geological early warning method.

[0018] According to another aspect of the embodiments of this application, a computer program product is provided, including at least one executable instruction that causes a processor to perform operations corresponding to the above-described horizontal well drilling geological early warning method.

[0019] According to the horizontal well drilling geological early warning method and device provided in this application embodiment, through the dynamic coordination of five early warning methods (marker layer early warning, trajectory deviation early warning, entry window early warning, layer interface early warning, and curve anomaly early warning), combined with real-time data iterative optimization of the geological steering model, the entire drilling early warning system forms a closed-loop risk warning of "data-driven - model prediction - real-time response". Combined with multi-threshold conditions and graded early warning content, it achieves precise risk management of horizontal well steering in complex formations. It significantly reduces non-productive time (NPT), lowers the entry window failure rate (reduction ≥20%), and improves the reservoir encounter rate (increase ≥15%), ensuring that the horizontal section trajectory drills along the optimal reservoir position. It rapidly generates early warning reports to support rapid on-site decision-making and trajectory adjustment.

[0020] The above description is merely an overview of the technical solutions of the embodiments of this application. In order to better understand the technical means of the embodiments of this application and to implement them in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the embodiments of this application more obvious and understandable, specific implementation methods of the embodiments of this application are described below. Attached Figure Description

[0021] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 A schematic flowchart of a horizontal well geological early warning method according to an embodiment of this application is shown; Figure 2 This is a schematic diagram of the landing segment early warning mechanism in an embodiment of this application; Figure 3 This is a schematic diagram of the combination of the horizontal segment early warning mechanism in an embodiment of this application; Figure 4 This is a schematic diagram of the first geological guidance model corresponding to the landing segment in an embodiment of this application; Figure 5 This is a schematic diagram illustrating the landing segment trajectory deviation warning threshold setting in an embodiment of this application. Figure 6 This is a schematic diagram illustrating the landing segment trajectory entry window warning threshold setting in an embodiment of this application; Figure 7This is a schematic diagram of the second geological guidance model corresponding to the landing segment in an embodiment of this application; Figure 8 This is a schematic diagram illustrating the landing segment trajectory deviation warning risk indication in an embodiment of this application; Figure 9 This is a schematic diagram illustrating the landing trajectory entry window warning risk alert in an embodiment of this application; Figure 10 This is a schematic diagram of the first geological guidance model corresponding to the horizontal segment in an embodiment of this application; Figure 11 This is a schematic diagram illustrating the setting of the horizontal segment trajectory deviation warning threshold in an embodiment of this application; Figure 12 This is a schematic diagram illustrating the setting of the warning threshold for the horizontal segment trajectory layer interface in an embodiment of this application. Figure 13 This is a schematic diagram of the second geological guidance model corresponding to the horizontal segment in an embodiment of this application; Figure 14 This is a schematic diagram illustrating the risk warning of horizontal segment trajectory deviation in an embodiment of this application. Figure 15 This is a schematic diagram of the risk warning display for the horizontal segment trajectory layer interface in an embodiment of this application; Figure 16 This is a schematic diagram of the monitoring of early warning parameters according to an embodiment of this application; Figure 17 A structural block diagram of a horizontal well drilling geological early warning device according to an embodiment of this application is shown; Figure 18 A schematic diagram of the structure of a computing device according to an embodiment of this application is shown. Detailed Implementation

[0022] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0023] To address the shortcomings of conventional geological steering methods, a geological early warning scheme for horizontal wells during drilling is proposed. This scheme includes five early warning methods (marker layer warning, curve anomaly warning, trajectory deviation warning, entry window warning, and layer interface warning), and achieves risk management through the following process: real-time monitoring of key engineering and geological parameters during drilling, the relative position of the actual drilling trajectory and the designed trajectory, and setting early warning thresholds for risk alerts; dynamic parameter updates based on a data-driven model to promptly trigger entry window and horizontal section layer exit warnings, ultimately improving target accuracy and reservoir encounter rate. The following detailed description, with specific embodiments, further illustrates this approach: Figure 1 This diagram illustrates a flow chart of a horizontal well drilling geological early warning method according to an embodiment of this application. The method is executed by an early warning system, such as... Figure 1 As shown, the method includes the following steps: Step S101: Obtain adjacent well data and design horizontal well trajectory data. Based on the adjacent well data and design horizontal well trajectory data, establish the first geological steering model of the design well.

[0024] Acquire the well inclination data, logging curve data, stratification data, and structural contour data of adjacent wells. Obtain the trajectory data of the design horizontal well corresponding to the design well. Based on the well inclination data, logging curve data, stratification data, structural contour data, and trajectory data of adjacent wells, establish the first geological steering model of the design well. This first geological steering model is a two-dimensional geological steering model.

[0025] Step S102: Obtain the actual drilling data corresponding to the first drilling, load the actual drilling data corresponding to the first drilling into the first geological steering model to obtain the second geological steering model of the actual drilling; obtain the actual drilling data during the drilling process in real time, and update the second geological steering model according to the actual drilling data obtained in real time.

[0026] Design wells and actual drilled wells refer to the same horizontal well. Design wells are wells planned before drilling, while actual drilled wells are wells that are actually drilled.

[0027] Throughout the drilling process, actual drilling data will be continuously acquired. The actual drilling data corresponding to the first well here refers to the first actual drilling data generated in this well. The actual well inclination data and actual well logging curve data corresponding to the actual well will be acquired in real time. The actual well inclination data and actual well logging curve data will be loaded into the first geological steering model of the designed well. The formation interface and reservoir boundary will be corrected in real time to obtain the second geological steering model of the actual well.

[0028] The drilling process is a continuous process, and real-time drilling data generated by subsequent drilling will be continuously acquired here. Therefore, real-time drilling data during the drilling process will be acquired here, and then the second geological steering model will be updated based on the acquired real-time drilling data. The second geological steering model is dynamically changing throughout the drilling process.

[0029] In one optional embodiment of this application, the actual drilling data includes: well deviation data, conventional logging data, and logging-while-drilling data; The second geological steering model is further updated based on real-time drilling data acquired during the drilling process, including: Update the actual drilling trajectory in the second geological steering model based on well inclination data; The logging curves and gas logging curves in the horizontal channels of the second geological steering model are updated based on conventional logging data and logging-while-drilling data.

[0030] Wellbore deviation data mainly includes: measurement depth, wellbore deviation angle and azimuth angle, which can be obtained through measurement while drilling (MWD) technology. Conventional logging data mainly includes parameters such as gamma, resistivity and density. MWD data mainly includes gamma and resistivity.

[0031] Step S103: Based on the first geological guidance model and the second geological guidance model, determine the geological guidance stage corresponding to the drilling, and query the early warning mechanisms and corresponding early warning thresholds that are related to the geological guidance stage.

[0032] The geological steering stage is an operational phase in horizontal well drilling. Due to the heterogeneity of the formation, the geological steering stage can be divided into two phases according to the drilling sequence: the landing phase (from the build-up point to target point A), whose core objective is precise entry into the well window; and the horizontal phase (from target point A to target point B), whose core objective is the trajectory traversing the reservoir. Corresponding geological steering models can be established for different geological steering stages. That is, for the landing phase, there is a first geological steering model for the designed well and a second geological steering model for the actual drilled well, such as... Figure 4 and Figure 7 As shown; for the first geological steering model of the designed well and the second geological steering model of the actual drilled well in the horizontal section, such as Figure 10 and Figure 13 As shown.

[0033] During horizontal well drilling, the following problems may arise: inaccurate prediction of formation depth and occurrence; encountering non-target reservoirs or abrupt changes in reservoir properties; the actual drilling trajectory deviating from the designed path spatially; the accuracy of landing and entering the window failing to meet target requirements; and the horizontal section trajectory about to penetrate the top or bottom boundary of the reservoir. To address these issues, the following early warning mechanisms can be designed: marker layer warning, curve anomaly warning, trajectory deviation warning, entry window risk warning, and layer interface warning.

[0034] Different early warning mechanisms are configured for different geological guidance stages, and these mechanisms are tailored to the specific objectives of each stage. They can be categorized into core early warning mechanisms and auxiliary early warning mechanisms. The early warning mechanisms corresponding to the landing phase include: core early warning mechanisms: marker layer early warning, trajectory deviation early warning, and entry window risk early warning; auxiliary early warning mechanisms: curve anomaly early warning, such as... Figure 2 As shown; the early warning mechanisms corresponding to the horizontal segment include: core early warning mechanisms: trajectory deviation early warning and layer interface early warning; auxiliary early warning mechanisms: curve anomaly early warning, such as... Figure 3 As shown.

[0035] Different early warning mechanisms have pre-set corresponding early warning thresholds. For example, for marker layer early warning, the determination of whether to issue an early warning is mainly based on comparing the marker layer interface data (parameters: depth, well inclination, azimuth, vertical depth, and formation apparent dip) between the designed well and the actual drilled well. The types of changes in marker layer vertical depth mainly include: no change in vertical depth, earlier vertical depth, and increased vertical depth. Therefore, the threshold rules are as follows: The vertical depth difference must be controlled within the range of design value ± ΔH, and |ΔH| ≤ 1m (vertical depth difference: design value ± ΔH (|ΔH| ≤ 1m)). Apparent dip deviation of strata: |α 实钻 - α 设计 |>0.5°.

[0036] Types of vertical depth variations: Shallower than design value (vertical depth difference > 1m and negative): When the vertical depth difference is greater than 1m and the value is negative, it is determined that the actual drilled marker layer is shallower than the design value. Deeper than the design value (vertical depth difference > 1m and positive): When the vertical depth difference is greater than 1m and the value is positive, it is determined that the actual drilled marker layer is deeper than the design value.

[0037] For abnormal curve warnings, based on the logical judgment conditions of reservoir type, logical judgment conditions for reservoir and non-reservoir are set to provide warnings for logging-while-drilling curves (parameters: gamma, resistivity, etc.).

[0038] Therefore, the early warning threshold rules are as follows: Taking the non-reservoir logic judgment of carbonate rocks in X oilfield as an example: Gamma > 20 API and resistivity < 5 or resistivity > 200 .

[0039] Reservoir types may change during drilling. Therefore, the reservoir type identification criteria can be dynamically adjusted based on the real-time identified reservoir type. Based on these dynamically adjusted criteria, non-reservoir type identification criteria can be determined. Finally, based on these non-reservoir type identification criteria, it can be determined whether to trigger an anomaly warning. For example, for clastic rocks not considered reservoirs: the gamma threshold is adjusted to >90 API, and the resistivity threshold is adjusted to <10. or >150 ; Non-reservoir carbonate rocks: Gamma > 20 API, resistivity < 5 or resistivity > 200 .

[0040] For trajectory deviation warnings, the decision to issue a warning is made by comparing the relative positions of the actual drilling trajectory and the design trajectory at the warning point. There are three types of threshold settings for this trajectory deviation warning: the closest distance between the actual drilling trajectory and the design trajectory, the vertical relative distance between the actual drilling trajectory and the design trajectory, and the horizontal relative distance between the actual drilling trajectory and the design trajectory. Thresholds need to be set for each of the above three situations to issue a warning.

[0041] Therefore, the warning threshold rule is as follows: lateral offset (left-right offset) > 10.0m; Vertical offset (vertical offset) > 1.0m; Minimum safe distance (spatial distance) > 15.0m.

[0042] For window entry warnings, the difference between relevant parameters (window entry well inclination angle, entry depth, and entry displacement) in the first and second geological steering models is calculated. This difference is compared with a preset parameter threshold, and a warning is issued based on the comparison results.

[0043] Therefore, the warning threshold rules are as follows: Window well angle deviation: |β 实钻 -β 设计 |>2.0°; Vertical depth error of entry layer: |TVD 实钻 -TVD 设计 |>1.0m; Horizontal displacement error upon entry into the floor: |CD 实钻 -CD 设计 |>50.0m.

[0044] For layer interface early warning, the values ​​of various parameters (well-layer angle, interface distance, and drilling distance) of the second geological steering model of the actual drilled well are compared with the set thresholds to determine whether an early warning is issued.

[0045] Therefore, the warning threshold rules are as follows: Wellbore angle (angle θ between the trajectory and the formation interface) > 0.5°; The interface distance (distance D from the top / bottom boundary of the reservoir) is <1.0m; Drilling distance (length L along the designed trajectory) > 30.0m.

[0046] Layer interface early warning identifies the well layer angle and interface distance through a real-time geological steering model, and risk early warning prompts are dynamically triggered by measuring point updates and model adjustments.

[0047] In this application, the correlation between geological guidance stage and early warning mechanism, and between early warning mechanism and early warning threshold are established in advance. After the geological guidance stage is determined, the early warning mechanism that is related to the geological guidance stage can be queried and determined, and then the early warning threshold corresponding to the early warning mechanism can be determined.

[0048] In this embodiment, the system provides a warning threshold setting interface, where users can design warning thresholds corresponding to different warning mechanisms, such as... Figure 5 and Figure 6 As shown, schematic examples of setting the landing segment trajectory deviation warning threshold and the landing segment trajectory ingress warning threshold are provided. Figure 11 and Figure 12 As shown, an example of setting the warning threshold for horizontal segment trajectory deviation and an example of setting the warning threshold for the horizontal segment trajectory layer interface are illustrated.

[0049] It should be noted that this is only an illustrative example of the numerical values ​​for the warning thresholds and has no limiting effect.

[0050] In one optional embodiment of this application, determining the geological steering stage corresponding to the drilling based on the first geological steering model and the second geological steering model further includes: Based on the second geological guidance model, the current spatial position of the actual drilling trajectory is obtained; Query the spatial location of the target point's designed trajectory from the first geological guidance model; The current spatial position of the actual drilling trajectory is compared with the spatial position of the designed trajectory of the target point. Based on the comparison results, the geological steering stage corresponding to the drilling is determined. The geological steering stage includes the landing section and the horizontal section.

[0051] Specifically, the system obtains the current spatial position of the actual drilling trajectory calculated from the drilling measurement-while-drilling data in real time from the second geological steering model. This position is usually accurately characterized by two key parameters: vertical depth (TVD) and horizontal displacement (or closure distance), which together define the instantaneous coordinates of the drill bit in three-dimensional space.

[0052] The system accesses the first geological guidance model and queries the spatial location of the predefined target point design trajectory (usually referring to a model that includes two target points, the first target point (target point A) and the second target point (target point B)). This location is also a pre-designed set of defined vertical depth and horizontal displacement coordinates stored in the model.

[0053] If the current spatial position of the actual drilling trajectory is between the build-up point and target point A, it is determined as the landing segment; if the current spatial position of the actual drilling trajectory is between target point A and target point B, it is determined as the horizontal segment.

[0054] Step S104: Obtain the first early warning parameter from the first geological guidance model and the second early warning parameter from the second geological guidance model according to the early warning mechanism. Perform geological early warning for horizontal well drilling based on the first early warning parameter, the second early warning parameter, the early warning mechanism and the corresponding early warning threshold.

[0055] Different early warning mechanisms require different early warning parameters to be monitored. Generally speaking, the following early warning parameters need to be monitored in real time: Figure 16 As shown, the following lists the safety thresholds for some parameters during the drilling process: Drilling progress parameters: real-time drilling depth (measured depth MD); mechanical drilling rate (ROP, m / h).

[0056] Drilling location type: Unentered layer: The trajectory is located above the reservoir; In the target layer: the trajectory is located inside the reservoir; Target layer top exit: The trajectory passes through the top boundary of the target layer; Target layer bottom: The trajectory passes through the bottom boundary of the target layer.

[0057] Drilling formation type (mainly determined by the apparent dip angle (α) and well inclination angle (β)): Upcut (the trajectory drills from the bottom of the stratum to the top, α+β>90°); Parallel (the trajectory is parallel to the stratigraphic interface, α+β=90°); Downcut (the trajectory drills from the top of the stratum to the bottom, α+β<90°).

[0058] Trajectory parameters: depth (MD), well inclination angle (β), azimuth (φ), vertical depth (TVD), elevation (TVDSS), closure displacement, closure azimuth, dogleg degree (DLS, ° / 30m).

[0059] Trajectory deviation parameter: Lateral offset (left and right directions of the designed trajectory, threshold ±10.0m); Vertical offset (vertical direction of the design trajectory, threshold ±1.0m); Minimum safe distance (≤15.0m from the design trajectory).

[0060] Marker layer parameters: depth sounding (MD), well inclination angle (β), azimuth angle (φ), vertical depth (TVD), closure displacement, and apparent dip angle (α).

[0061] Layer interface parameters: well-entry angle (initial angle between trajectory and formation interface ≤ 5.0°); Inter-layer well-layer angle (dynamic angle between trajectory and formation interface ≤ 1.0°); Apparent dip angle of the strata (α); The interface distance (distance from the top / bottom boundary of the reservoir) is ≥1.0m.

[0062] Drilling distance (length L along the designed trajectory) < 30.0m.

[0063] Reservoir type: Taking the carbonate reservoir type determination rules of X oilfield as an example: Reservoir determination: Gamma ≤ 20 API and 200.0 ≥Resistivity≥5.0 ; Non-reservoir determination: Gamma > 20 API, resistivity < 5.0 Or resistivity > 200.0 ; Trigger threshold: An early warning will be issued if 5 consecutive measurement points exceed the limit.

[0064] Here, based on the early warning mechanism, the first early warning parameter is obtained from the first geological steering model, and the second early warning parameter is obtained from the second geological steering model, i.e., the parameters listed above. Horizontal well drilling geological early warning is then performed based on the first early warning parameter, the second early warning parameter, the early warning mechanism, and the corresponding early warning threshold. This mainly involves calculating the difference between the corresponding first and second early warning parameters, comparing the difference with the corresponding early warning threshold, or comparing the second early warning parameter with the corresponding early warning threshold, and determining whether to trigger an early warning based on the comparison result.

[0065] Figure 8 This is a schematic diagram illustrating the landing segment trajectory deviation warning risk indication in an embodiment of this application. Figure 8 As shown, the landing trajectory deviation warning risk is as follows: During the drilling guidance process, the relative position between the actual drilling trajectory and the design trajectory reaches the warning setting condition: the actual drilling trajectory is 1.06m above the design trajectory at a depth of 4230.00m, reaching the set warning threshold of 0.50m; Figure 9 This is a schematic diagram illustrating the landing trajectory entry window warning risk alert of an embodiment of this application. Figure 9 As shown, the following warning is issued: In the geologically guided landing section, the well trajectory at the marker layer has reached the warning threshold for the warning parameters. For specific parameter values, please refer to [link / reference]. Figure 9 ; Figure 14 This is a schematic diagram illustrating the risk warning of horizontal segment trajectory deviation in an embodiment of this application. Figure 14As shown, the warning prompts for the trajectory position warning are as follows: During the drilling guidance process, the relative position between the actual drilling trajectory and the design trajectory reaches the warning setting conditions: the actual drilling trajectory at a depth of 4692.00m is 13.61m away from the design trajectory, reaching the set warning threshold of 5.00m; the actual drilling trajectory at a depth of 4692.00m is 13.54m to the left of the design trajectory, reaching the set warning threshold of 5.00m. Figure 15 This is a schematic diagram of the risk warning display for the horizontal segment trajectory layer interface in an embodiment of this application. Figure 15 As shown, the warning message for the layer interface warning is as follows: During the drilling guidance process, the layer interface warning meets the warning setting conditions: the current actual drilling trajectory drill bit depth is 4692.00m, the well layer angle of the actual drilling trajectory entering the layer is 5.12°, and the set warning threshold of 2.00° is reached.

[0066] Specifically, if the actual drilling trajectory does not enter the target layer in the landing section, it is determined that the trajectory is cutting into the formation during drilling, triggering an entry window risk warning.

[0067] When the vertical depth warning value of the marker layer reaches ±2.0m, that is, when the deviation between the actual drilled vertical depth of the marker layer and the designed vertical depth of the marker layer reaches ±2.0m, the trajectory adjustment warning is triggered. At this time, the trajectory adjustment before entering the window must be controlled within the vertical depth direction range of the designed trajectory line. By adjusting the actual drilled trajectory to a position 2.0m above or 2.0m below the designed trajectory line, it adapts to the changes in the vertical depth of the formation, ensuring that the subsequent window entry parameters meet the preset threshold requirements and guaranteeing accurate window entry.

[0068] In one optional embodiment of this application, the method further includes: determining the warning risk level based on the type of warning mechanism triggered and the number of warnings; Based on the risk level of the early warning, a response plan will be dynamically pushed out and / or other early warning mechanisms will be activated for review.

[0069] The system first determines the risk level based on the type, number, combination mode, and parameter exceedance of the triggered warning mechanisms, using built-in risk assessment logic: a single auxiliary warning trigger is usually low risk, a single core warning trigger can be high risk depending on the severity, and multiple mechanism combinations (such as simultaneous occurrence of a flag layer warning and a trajectory deviation warning) are comprehensively judged as high risk because they indicate multiple anomalies. Differentiated response plans can be dynamically pushed for different warning risk levels, and / or other warning mechanisms can be activated in conjunction for verification.

[0070] Specifically, if the warning risk level is the first risk warning, other warning mechanisms will be activated for verification and an emergency report containing trajectory adjustment parameters will be generated. If the warning risk level is the second risk warning, i.e. a low risk warning, a log file will be generated and the monitoring information will be marked.

[0071] The first risk warning can also be called a high-risk warning, and the second risk warning can also be called a low-risk warning.

[0072] When a low-risk warning is issued, only a monitoring log is generated and marked. When the monitoring data reaches a user-defined threshold, the system automatically triggers the warning recording process. The recorded content includes the warning time, warning depth, warning type, and parameter deviation value. At the same time, the above information is automatically stored in a structured time-depth-parameter matrix table, which supports historical query and statistical analysis of warning data and provides data support for subsequent optimization of the warning mechanism.

[0073] Upon a high-risk warning, the highest alarm is immediately triggered, and an emergency decision report is automatically generated. This report not only details the warning and deviation values ​​but also provides quantitative adjustment schemes (such as specific angles for increasing / decreasing inclination) based on the latest actual drilling geological steering model. Simultaneously, for high-risk warnings, the system intelligently activates relevant warning mechanisms for cross-verification (e.g., automatically tightening the layer interface warning threshold when trajectory deviation is triggered) to achieve depth diagnosis and risk prediction. Through this process, the system completes a full intelligent decision-making closed loop from risk identification, level determination, response generation to collaborative verification, significantly improving the accuracy of warnings and the timeliness of guidance decisions. The report output format is in common document types such as Word or TXT. The report content is divided into three main modules: first, a warning summary, clearly listing the warning trigger time, location, type, and corresponding risk level; second, parameter details, fully presenting real-time monitoring data such as depth sounding, inclination angle, and azimuth, and comparing them with preset thresholds; and third, decision recommendations, providing targeted trajectory adjustment schemes based on the specific warning situation, such as increasing inclination, decreasing inclination, and azimuth adjustment, providing direct guidance for on-site drilling operation decisions.

[0074] For example, if both the flag layer warning and the trajectory deviation warning are triggered simultaneously, the warning risk level will be determined as the first risk warning, i.e., a high-risk warning. At this time, the window risk warning review can be activated in conjunction with the warning, and an emergency report containing trajectory adjustment parameters can be generated. For example, a recommended slope increase / decrease scheme and adjustment amount can be given. As another example, if both the layer interface warning and the trajectory deviation warning are triggered simultaneously, the warning risk level will be determined as the first risk warning, i.e., a high-risk warning. At this time, the trajectory optimization module will be automatically started to generate a correction scheme and an emergency report containing trajectory adjustment parameters will be generated.

[0075] If a single abnormal curve triggers an alert, the alert risk level will be determined as a second-risk alert, i.e., a low-risk alert. In this case, a log file can be generated and the monitoring information can be marked. This is merely an example and has no limiting effect.

[0076] In one optional embodiment of this application, the method further includes: dynamically adjusting the warning threshold corresponding to the warning mechanism based on actual drilling data. Specifically, the warning threshold is dynamically adjusted based on parameters such as the rate of penetration (ROP), measurement point data, formation lithology changes, and dynamic characteristics of logging curves.

[0077] For example, when the horizontal trajectory deviation reaches 2.0° to the left or right, the lateral offset threshold of the automatic trajectory deviation warning is adjusted to ±15.0m, and the minimum safe distance threshold is adjusted to 30.0m.

[0078] When the drilling encounters a formation with a small thickness (H≤1m) or a large fluctuation in apparent dip angle (|Δα|>0.3° / 10m), the well-layer angle threshold for the layer interface warning is adjusted from >1.0° to >0.5°.

[0079] In one optional embodiment of this application, the method further includes: obtaining the early warning feedback result corresponding to any early warning mechanism, calculating the early warning false alarm rate based on the early warning feedback result, and if the early warning false alarm rate is greater than a preset false alarm rate threshold, adjusting the early warning threshold corresponding to the early warning mechanism or reducing the priority corresponding to the early warning mechanism.

[0080] Specifically, for all early warning signals triggered by various early warning mechanisms during drilling operations, corresponding on-site actual working condition verification data are collected simultaneously, and the early warning feedback results for each early warning mechanism are matched one by one. The feedback results need to clearly distinguish between true early warnings (after the early warning signal is triggered, on-site verification confirms the corresponding abnormal situation) and false early warnings (after the early warning signal is triggered, on-site verification does not find the corresponding abnormal situation), and a one-to-one correspondence ledger between early warning mechanisms and feedback results should be established.

[0081] Based on the collected early warning feedback results, the false alarm rate of the corresponding early warning mechanism is statistically analyzed according to the formula: Early warning false alarm rate = (Number of false early warnings of a certain early warning mechanism ÷ Total number of early warnings of the mechanism) × 100%.

[0082] The statistically obtained false alarm rate is compared with the preset false alarm rate threshold. The preset false alarm rate threshold can be set according to actual needs, for example, 20%. If the false alarm rate is greater than the preset false alarm rate threshold, the early warning mechanism optimization process is initiated: First, the early warning threshold corresponding to the early warning mechanism is adjusted, such as correcting the threshold for vertical depth difference of marker layer, curve parameter judgment threshold, and window parameter deviation threshold, so as to better match the actual geological and engineering conditions on site; Second, the priority of the early warning mechanism in the overall drilling early warning system is reduced to reduce the interference of unnecessary early warnings on operational decisions.

[0083] When the vertical depth of the marker layer between the actual drilling trajectory and the design trajectory continues to advance or deepen, the warning threshold corresponding to the marker layer warning mechanism can be adjusted to gradually optimize the warning process and improve calculation efficiency.

[0084] In one optional embodiment of this application, targeted model iteration and trajectory optimization can be performed on the models corresponding to different geological guidance stages: Landing Section Update: As a crucial step for precise reservoir entry, the landing section requires high-precision matching between actual drilling data and the design model to complete model iterations. By comparing the vertical depth data of the actual drilling and the designed marker layer, the vertical depth matching error is ensured to be controlled within ≤0.1m. Simultaneously, formation dip angle inversion calculations are performed using drilling comprehension and well logging data, strictly controlling the dip angle deviation |Δα| ≤0.1°. Based on the verification results of the above two core indicators, the first geological steering model is revised to improve the model's fit with the actual formation, providing a reliable geological basis for precise entry into the horizontal section.

[0085] Horizontal Section Update: Addressing the complex reservoir distribution and sensitivity to trajectory adjustments in horizontal sections, model optimization is achieved through bidirectional comparison of logging curves both vertically and horizontally. Vertically, the morphological differences between actual drilling logging curves (such as gamma and resistivity) and the design model curves are compared; horizontally, the characteristics of logging curves from adjacent wells at the same formation are correlated. This accurately corrects the apparent dip angle parameters of the formation under the current trajectory azimuth, while refining the characterization of formation structural details. Simultaneously, the risk warning parameters are dynamically adjusted based on the model update results to ensure that the warning mechanism matches actual formation conditions in real time.

[0086] Trajectory design: Based on the maximum dogleg limit of drilling and completion (dogleg ≤ 5° / 30m), a drill bit front trajectory prediction scheme is generated.

[0087] The horizontal well drilling geological early warning method provided in this application dynamically coordinates five early warning methods (marker layer early warning, trajectory deviation early warning, entry window early warning, layer interface early warning, and curve anomaly early warning), combined with real-time data iterative optimization of the geological steering model. The entire drilling early warning system forms a closed-loop risk alert of "data-driven - model prediction - real-time response." By combining multiple threshold conditions and graded early warning content, it achieves precise risk management of horizontal well steering in complex formations. It significantly reduces non-productive time (NPT), lowers the entry window failure rate (reduction ≥20%), and improves the reservoir encounter rate (increase ≥15%), ensuring that the horizontal section trajectory drills along the optimal reservoir position. Early warning reports are quickly generated to support rapid on-site decision-making and trajectory adjustment.

[0088] Figure 17 A structural block diagram of a horizontal well drilling geological early warning device according to an embodiment of this application is shown, such as... Figure 17 As shown, the device includes: Module 1701 is established to acquire adjacent well data and design horizontal well trajectory data, and to establish the first geological steering model of the design well based on the adjacent well data and design horizontal well trajectory data. The update module 1702 is adapted to acquire the actual drilling data corresponding to the first drilling, load the actual drilling data corresponding to the first drilling into the first geological steering model, and obtain the second geological steering model of the actual drilling; acquire the actual drilling data during the drilling process in real time, and update the second geological steering model according to the actual drilling data acquired in real time during the drilling process. The determination module 1703 is suitable for determining the geological guidance stage corresponding to drilling based on the first geological guidance model and the second geological guidance model, and querying the early warning mechanism and corresponding early warning threshold that are related to the geological guidance stage; The early warning module 1704 is adapted to obtain first early warning parameters from the first geological guidance model and second early warning parameters from the second geological guidance model according to the early warning mechanism, and to perform horizontal well drilling geological early warning based on the first early warning parameters, the second early warning parameters, the early warning mechanism and the corresponding early warning threshold.

[0089] Optionally, the determining module is further adapted to: obtain the current spatial position of the actual drilling trajectory based on the second geological guidance model; Query the spatial location of the target point's designed trajectory from the first geological guidance model; The current spatial position of the actual drilling trajectory is compared with the spatial position of the designed trajectory of the target point. Based on the comparison results, the geological steering stage corresponding to the drilling is determined. The geological steering stage includes the landing section and the horizontal section.

[0090] Optionally, the early warning mechanism includes: marker layer early warning, curve anomaly early warning, trajectory deviation early warning, window risk early warning, and layer interface early warning; The early warning mechanisms for the landing phase include: core early warning mechanisms: marker layer early warning, trajectory deviation early warning, and entry window risk early warning; and auxiliary early warning mechanisms: curve anomaly early warning. The early warning mechanisms corresponding to the horizontal segment include: core early warning mechanisms: trajectory deviation early warning and layer interface early warning; auxiliary early warning mechanisms: curve anomaly early warning.

[0091] Optionally, the device further includes: a first dynamic adjustment module, adapted to dynamically adjust the reservoir type identification judgment conditions according to the reservoir type identified in real time, and to determine the non-reservoir type identification judgment conditions according to the dynamically adjusted reservoir type identification judgment conditions; The early warning module is further adapted to: determine whether to trigger an abnormal curve warning based on the identification and judgment conditions of non-reservoir types.

[0092] Optionally, the device further includes: a processing module adapted to determine the warning risk level based on the type of warning mechanism triggered and the number of warnings; Based on the risk level of the early warning, a response plan will be dynamically pushed out and / or other early warning mechanisms will be activated for review.

[0093] Optionally, the processing module is further adapted to: if the warning risk level is the first risk warning, then activate other warning mechanisms for review and generate an emergency report containing trajectory adjustment parameters; If the risk level of the warning is the second risk warning, a log file will be generated and the monitoring information will be marked.

[0094] Optionally, the device further includes a second dynamic adjustment module, adapted to dynamically adjust the warning threshold corresponding to the warning mechanism based on actual drilling data.

[0095] Optionally, actual drilling data includes: well deviation data, conventional logging data, and logging-while-drilling data; The update module is further adapted to: update the actual drilling trajectory in the second geological steering model based on well inclination data; The logging curves and gas logging curves in the horizontal channels of the second geological steering model are updated based on conventional logging data and logging-while-drilling data.

[0096] Optionally, the device further includes: a third dynamic adjustment module, adapted to obtain the early warning feedback result corresponding to any early warning mechanism, calculate the early warning false alarm rate based on the early warning feedback result, and if the early warning false alarm rate is greater than a preset false alarm rate threshold, adjust the early warning threshold corresponding to the early warning mechanism or reduce the priority corresponding to the early warning mechanism.

[0097] The descriptions of the above modules refer to the corresponding descriptions in the method embodiments, and will not be repeated here.

[0098] The horizontal well drilling geological early warning device provided in this application embodiment dynamically coordinates five early warning methods (marker layer early warning, trajectory deviation early warning, entry window early warning, layer interface early warning, and curve anomaly early warning), combined with real-time data iterative optimization of the geological steering model. The entire drilling early warning system forms a closed-loop risk alert of "data-driven - model prediction - real-time response." Combining multiple threshold conditions and graded early warning content, it achieves precise risk management of horizontal well steering in complex formations. It significantly reduces non-productive time (NPT), lowers the entry window failure rate (reduction ≥20%), and improves the reservoir encounter rate (increase ≥15%), ensuring that the horizontal section trajectory drills along the optimal reservoir position. It quickly generates early warning reports to support rapid on-site decision-making and trajectory adjustment.

[0099] This application provides a non-volatile computer storage medium storing at least one executable instruction or computer program that enables a processor to perform operations corresponding to the horizontal well drilling geological early warning method in any of the above method embodiments.

[0100] This application provides a computer program product, which includes at least one executable instruction or computer program that enables a processor to perform operations corresponding to the horizontal well drilling geological early warning method in any of the above method embodiments.

[0101] Figure 18 The diagram shows a structural schematic of an embodiment of the computing device of this application. The specific embodiments of this application do not limit the specific implementation of the computing device.

[0102] like Figure 18 As shown, the computing device may include: a processor 1802, a communications interface 1804, a memory 1806, and a communications bus 1808.

[0103] The processor 1802, communication interface 1804, and memory 1806 communicate with each other via communication bus 1808. Communication interface 1804 is used to communicate with other network elements such as clients or other servers. The processor 1802 executes program 1810, specifically performing the relevant steps in the above-described embodiment of the horizontal well drilling geological early warning method for computing devices.

[0104] Specifically, program 1810 may include program code that includes computer operation instructions.

[0105] The processor 1802 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application. The computing device includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0106] Memory 1806 is used to store program 1810. Memory 1806 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0107] Specifically, program 1810 can be used to cause processor 1802 to execute the horizontal well drilling geological early warning method in any of the above method embodiments. The specific implementation of each step in program 1810 can be found in the corresponding descriptions of the steps and units in the above horizontal well drilling geological early warning embodiments, and will not be repeated here. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described equipment and modules can be referred to the corresponding process descriptions in the foregoing method embodiments, and will not be repeated here.

[0108] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, the embodiments of this application are not directed to any particular programming language. It should be understood that the contents of the embodiments of this application described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best implementation of the embodiments of this application.

[0109] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of this application may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0110] Similarly, it should be understood that, in order to simplify this disclosure and aid in understanding one or more of the various inventive aspects, in the foregoing description of exemplary embodiments of the present application, various features of the present application embodiments are sometimes grouped together into a single embodiment, figure, or description thereof. However, this approach to disclosure should not be construed as reflecting an intention that the claimed embodiments of the present application require more features than expressly recited in each claim. Rather, as reflected in the following claims, inventive aspects lie in fewer than all features of a single foregoing disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into that detailed description, wherein each claim itself is a separate embodiment of the present application.

[0111] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0112] Furthermore, those skilled in the art will understand that although some embodiments described herein include certain features but not others included in other embodiments, combinations of features from different embodiments are meant to be within the scope of the embodiments of this application and form different embodiments. For example, in the following claims, any one of the claimed embodiments can be used in any combination.

[0113] The various component embodiments of this application can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components according to the embodiments of this application. The embodiments of this application can also be implemented as device or apparatus programs (e.g., computer programs and computer program products) for performing part or all of the methods described herein. Such programs implementing the embodiments of this application can be stored on a computer-readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

[0114] It should be noted that the above embodiments are illustrative of the embodiments of this application and not limiting of the embodiments of this application, and those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Embodiments of this application can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names.

Claims

1. A geological early warning method for horizontal well drilling, comprising: Acquire adjacent well data and design horizontal well trajectory data, and establish the first geological steering model of the design well based on the adjacent well data and the design horizontal well trajectory data; Obtain the actual drilling data corresponding to the first drilling, load the actual drilling data corresponding to the first drilling into the first geological steering model to obtain the second geological steering model of the actual drilling; obtain the actual drilling data during the drilling process in real time, and update the second geological steering model according to the actual drilling data obtained in real time during the drilling process. Based on the first geological guidance model and the second geological guidance model, the geological guidance stage corresponding to the drilling is determined, and the early warning mechanism and corresponding early warning threshold that are related to the geological guidance stage are queried. According to the early warning mechanism, a first early warning parameter is obtained from the first geological guidance model, and a second early warning parameter is obtained from the second geological guidance model. Based on the first early warning parameter, the second early warning parameter, the early warning mechanism, and the corresponding early warning threshold, geological early warning for horizontal wells during drilling is performed.

2. The method according to claim 1, wherein, The step of determining the geological steering stage corresponding to the drilling based on the first geological steering model and the second geological steering model further includes: Based on the second geological guidance model, the current spatial position of the actual drilling trajectory is obtained; Query the spatial location of the target point's designed trajectory from the first geological guidance model; The current spatial position of the actual drilling trajectory is compared with the spatial position of the designed trajectory of the target point. Based on the comparison results, the geological guidance stage corresponding to the drilling is determined. The geological guidance stage includes: landing section and horizontal section.

3. The method according to claim 2, wherein, The early warning mechanism includes: marker layer early warning, curve anomaly early warning, trajectory deviation early warning, window entry risk early warning, and layer interface early warning; The early warning mechanisms for the landing phase include: core early warning mechanisms: marker layer early warning, trajectory deviation early warning, and entry window risk early warning; and auxiliary early warning mechanisms: curve anomaly early warning. The early warning mechanisms corresponding to the horizontal segment include: core early warning mechanisms: trajectory deviation early warning and layer interface early warning; auxiliary early warning mechanisms: curve anomaly early warning.

4. The method according to claim 3, wherein, The method further includes: dynamically adjusting the reservoir type identification judgment conditions according to the reservoir type identified in real time, determining the non-reservoir type identification judgment conditions according to the dynamically adjusted reservoir type identification judgment conditions, and determining whether to trigger the curve anomaly warning according to the non-reservoir type identification judgment conditions.

5. The method according to any one of claims 1-4, wherein, The method further includes: determining the risk level of the early warning based on the type of early warning mechanism triggered and the number of early warnings; Based on the aforementioned risk level, a response plan will be dynamically pushed out and / or other early warning mechanisms will be activated for review.

6. The method according to claim 5, wherein, Based on the aforementioned early warning risk level, a response plan is dynamically pushed out and / or other early warning mechanisms are activated for review, which further includes: If the warning risk level is the first risk warning, other warning mechanisms will be activated in conjunction for review, and an emergency report containing trajectory adjustment parameters will be generated. If the warning risk level is the second risk warning, a log file is generated and the monitoring information is marked.

7. The method according to any one of claims 1-4, wherein, The method also includes: dynamically adjusting the early warning threshold corresponding to the early warning mechanism based on actual drilling data.

8. The method according to any one of claims 1-4, wherein, Actual drilling data includes: well deviation data, conventional logging data, and logging-while-drilling data; The step of updating the second geological steering model based on real-time drilling data acquired during the drilling process further includes: Update the actual drilling trajectory in the second geological steering model based on the well inclination data; The logging curves and gas logging curves in the horizontal channels of the second geological steering model are updated based on the conventional logging data and the logging-while-drilling data.

9. The method according to any one of claims 1-4, wherein, The method further includes: obtaining the early warning feedback result corresponding to any early warning mechanism, calculating the early warning false alarm rate based on the early warning feedback result, and if the early warning false alarm rate is greater than a preset false alarm rate threshold, adjusting the early warning threshold corresponding to the early warning mechanism or reducing the priority corresponding to the early warning mechanism.

10. A geological early warning device for horizontal well drilling, comprising: A module is established to acquire adjacent well data and design horizontal well trajectory data, and to establish a first geological steering model for the design well based on the adjacent well data and the design horizontal well trajectory data. The update module is adapted to acquire the actual drilling data corresponding to the first drilling, load the actual drilling data corresponding to the first drilling into the first geological steering model, and obtain the second geological steering model of the actual drilling; acquire the actual drilling data during the drilling process in real time, and update the second geological steering model according to the actual drilling data acquired in real time during the drilling process. The processing module is adapted to determine the geological guidance stage corresponding to the drilling based on the first geological guidance model and the second geological guidance model, and to query the early warning mechanism and corresponding early warning threshold that are related to the geological guidance stage. The early warning module is adapted to obtain a first early warning parameter from the first geological guidance model and a second early warning parameter from the second geological guidance model according to the early warning mechanism, and to perform geological early warning for horizontal wells during drilling based on the first early warning parameter, the second early warning parameter, the early warning mechanism and the corresponding early warning threshold.

11. A computing device, comprising: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the horizontal well drilling geological early warning method as described in any one of claims 1-9.

12. A computer storage medium storing at least one executable instruction that causes a processor to perform an operation corresponding to the horizontal well drilling geological early warning method as described in any one of claims 1-9.

13. A computer program product comprising at least one executable instruction that causes a processor to perform an operation corresponding to the horizontal well drilling geological early warning method as described in any one of claims 1-9.

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