A method and system for monitoring the actual drilling rate of a drilling rig based on big data

Abstract

The present invention discloses a method for monitoring the actual drilling rate of penetration based on big data, including: establishing a recommended mechanical drilling rate curve for adjacent wells in the target well section and an engineering design mechanical drilling rate curve, and based on this, obtaining a real-time drilling rate change range area containing information on the real-time mechanical drilling rate fluctuation range at different well depths; acquiring real-time drilling rate data and plotting a corresponding actual drilling rate change curve; according to the actual drilling rate change curve, using the recommended mechanical drilling rate curve for adjacent wells and the real-time drilling rate change range area, diagnosing whether the change state of the current actual mechanical drilling rate is normal to obtain a mechanical drilling rate evaluation result. The present invention can ensure that the actual mechanical drilling rate during the whole drilling section is safe and optimal during the drilling process, providing a new technical means for improving the drilling speed and efficiency.

Description

Technical Field

[0001] The present invention relates to the field of oil drilling engineering, and particularly to a real-time monitoring method and system for actual drilling rate of penetration based on big data. Background Art

[0002] As one of the important indicators in drilling engineering, the rate of penetration (ROP) is directly related to drilling time and cost. During the drilling operation, it is necessary to monitor the change of actual ROP in real time to ensure that the actual ROP in the whole drilling section is safe and optimal.

[0003] Regarding the real-time monitoring technology of actual ROP based on big data, most of the existing technologies focus on the prediction technology of ROP. However, there is little content related to the real-time monitoring of actual ROP, and there is a lack of technical solutions that can effectively solve the problem of real-time monitoring of actual ROP based on regional big data, thus being able to solve technical problems such as ensuring that the actual ROP in the whole drilling section is safe and optimal.

[0004] Therefore, in the existing technology, there is a need to provide a solution for real-time monitoring of actual ROP based on big data. Summary of the Invention

[0005] To solve the above technical problems, the present invention provides a method for monitoring the actual ROP based on big data, including: an evaluation curve generation step of establishing a regional adjacent well recommended ROP curve and an engineering design ROP curve for a target well section, and based on this, obtaining a real-time ROP change range area containing information on the fluctuation range of actual ROP at different well depth positions; a real-time drilling curve generation step of acquiring real-time ROP data and plotting a corresponding actual ROP change curve; and a ROP monitoring step of diagnosing whether the change state of the current actual ROP is normal according to the actual ROP change curve, using the regional adjacent well recommended ROP curve and the real-time ROP change range area, to obtain a ROP evaluation result for the target well section, so as to achieve real-time ROP monitoring during drilling operations.

[0006] Preferably, the evaluation curve generation step includes: calculating the difference between the corresponding position points in the regional adjacent well recommended ROP curve and the engineering design ROP curve based on different well depth positions, to obtain value range change threshold characteristic information representing the ROP change standard at different well depth positions of the target well section; taking the regional adjacent well recommended ROP curve as a reference curve, and establishing a symmetric curve of the engineering design ROP curve according to the value range change threshold characteristic information, so as to obtain the real-time ROP change range area.

[0007] Preferably, in the step of monitoring the drilling rate, if the actual drilling rate change curve fluctuates periodically with the recommended drilling rate curve of the adjacent wells in the area and the actual drilling rate change curve is within the area of the real-time drilling rate change range, the change state of the current actual drilling rate is normal, and the monitoring continues; if the actual drilling rate change curve exceeds the area of the real-time drilling rate change range, it is determined that the change state of the current actual drilling rate is abnormal, and a warning message for the current abnormality is generated.

[0008] Preferably, according to the actual drilling rate data of the drilled well section, the recommended drilling rate curve of the adjacent wells in the area is corrected, so as to continue to diagnose and monitor the actual drilling rate of the next well section according to the corrected curve information.

[0009] Preferably, in the step of establishing the recommended drilling rate curve of the adjacent wells in the area for the target well section, it includes: based on the data in the preset recommended drilling rate database of the adjacent wells in the area, establishing the recommended drilling rate curve of the adjacent wells in the area for the target well section, wherein, according to the formation lithology data, well depth data and actual drilling rate data corresponding to each adjacent well in the oilfield area where the target well is located, the recommended drilling rate database of the adjacent wells in the area is constructed.

[0010] Preferably, in the step of establishing the engineering design drilling rate curve for the target well section, it includes: based on the data in the preset engineering design drilling rate database, establishing the engineering design drilling rate curve for the target well section, wherein, according to the data in the recommended drilling rate database of the adjacent wells in the area, as well as the well depth data, formation lithology data and actual drilling rate data in the target well where the current target well section is located, the engineering design drilling rate database is constructed.

[0011] On the other hand, the present invention also provides a real-time drilling rate monitoring system based on big data, including: an evaluation curve generation module configured to establish the recommended drilling rate curve of the adjacent wells in the area and the engineering design drilling rate curve for the target well section, and based on this, obtain the real-time drilling rate change range area containing the real-time mechanical drilling rate fluctuation range information at different well depth positions; a real-time drilling curve generation module configured to obtain real-time drilling rate data and draw the corresponding actual drilling rate change curve; a drilling rate monitoring module configured to diagnose whether the change state of the current actual drilling rate is normal according to the actual drilling rate change curve, using the recommended drilling rate curve of the adjacent wells in the area and the real-time drilling rate change range area, and obtain the mechanical drilling rate evaluation result for the target well section, so as to realize real-time drilling rate monitoring during drilling construction.

[0012] Preferably, the evaluation curve generation module includes: a range change characteristic information generation unit configured to calculate the difference between the corresponding position points of the recommended mechanical drilling rate curve of adjacent wells in the area and the engineering design mechanical drilling rate curve based on different well depths, so as to obtain range change threshold characteristic information representing the drilling rate change standard at different well depths in the target well section; a real-time drilling rate change range area generation unit configured to use the recommended mechanical drilling rate curve of adjacent wells in the area as a reference curve, and establish a symmetric curve of the engineering design mechanical drilling rate curve according to the range change threshold characteristic information, so as to obtain the real-time drilling rate change range area.

[0013] Preferably, in the drilling rate monitoring module, if the actual drilling mechanical drilling rate change curve fluctuates periodically with the recommended mechanical drilling rate curve of adjacent wells in the area and the actual drilling mechanical drilling rate change curve is within the real-time drilling rate change range area, the change state of the current actual drilling mechanical drilling rate is normal, and the monitoring continues; if the actual drilling mechanical drilling rate change curve exceeds the real-time drilling rate change range area, it is determined that the change state of the current actual drilling mechanical drilling rate is abnormal, and a warning information for the current abnormality is generated.

[0014] Preferably, the system further includes: a correction module configured to, when the change state of the current actual drilling mechanical drilling rate is abnormal, correct the recommended mechanical drilling rate curve of adjacent wells in the area according to the actual drilling mechanical drilling rate data of the drilled well section, so as to continue to diagnose and monitor the actual drilling mechanical drilling rate of the target well section according to the corrected curve information.

[0015] Compared with the prior art, one or more embodiments of the above solutions may have the following advantages or beneficial effects:

[0016] The present invention discloses a method and system for monitoring the actual drilling mechanical drilling rate based on big data. The present invention can ensure that the actual drilling mechanical drilling rate of the entire drilling section is safe and optimal during the drilling process, providing a new technical means for improving the drilling speed and efficiency. With the increasing depth of onshore exploration and development and offshore drilling, it will have a wider application prospect. In addition, the present invention is the key and foundation for realizing the construction monitoring of oil drilling engineering, and is a key technology required for the research of oil drilling engineering construction and remote monitoring technology.

[0017] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the specification, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention. In the accompanying drawings:

[0019] Figure 1 is a step diagram of the actual drilling mechanical penetration rate monitoring method based on big data according to an embodiment of the present application.

[0020] Figure 2 is a specific flowchart of the actual drilling mechanical penetration rate monitoring method based on big data according to an embodiment of the present application.

[0021] Figure 3 is a module block diagram of the actual drilling mechanical penetration rate monitoring system based on big data according to an embodiment of the present application. Detailed implementation manners

[0022] The following will combine the accompanying drawings and embodiments to detail the implementation manners of the present invention, so as to fully understand how the present invention uses technical means to solve technical problems and achieve the implementation process of technical effects and implement accordingly. It should be noted that as long as there is no conflict, the various embodiments in the present invention and the various features in each embodiment can be combined with each other, and the formed technical solutions are all within the protection scope of the present invention.

[0023] In addition, the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0024] As one of the important indicators in drilling engineering, the mechanical penetration rate is directly related to the drilling time and drilling cost. During the drilling construction process, it is necessary to monitor the change of the actual drilling mechanical penetration rate in real time to ensure that the actual drilling mechanical penetration rate in the entire drilling section is safe and optimal.

[0025] Regarding the real-time monitoring technology of the actual drilling mechanical penetration rate based on big data, most of the existing technologies focus on the mechanical penetration rate prediction technology. However, there is little content related to the real-time monitoring of the actual drilling mechanical penetration rate, and there is a lack of a technical solution that can effectively solve the real-time monitoring of the actual drilling mechanical penetration rate based on regional big data, so as to solve technical problems such as ensuring that the actual drilling mechanical penetration rate in the entire drilling section is safe and optimal.

[0026] Therefore, to solve the above technical problems, the present invention proposes a method and system for monitoring the actual drilling rate based on big data. The method and system use the recommended drilling rate of adjacent wells in the oilfield block based on big data as the reference curve, and take the difference between the corresponding points of the recommended drilling rate curve and the designed drilling rate curve as the change range of the actual drilling rate. Based on this, the change of the actual drilling rate is monitored in real time. In this way, the present invention can ensure in real time during the actual drilling process that the actual drilling rate of the entire drilling section is safe and optimal, providing a new technical means for improving the drilling speed and efficiency.

[0027] Figure 1 It is a step diagram of the method for monitoring the actual drilling rate based on big data in the embodiments of the present application. The following refers to Figure 1 The steps involved in the real-time drilling rate monitoring method (hereinafter referred to as the "drilling rate monitoring method") of the present invention are described accordingly.

[0028] First, step S110 requires establishing a regional adjacent well recommended drilling rate curve for the target well section and an engineering design drilling rate curve for the target well section. Based on this, a real-time drilling rate change range area containing information on the real-time drilling rate fluctuation range at different well depth positions is obtained. In the embodiments of the present invention, the target well section refers to the drilling well section corresponding to the well currently being drilled, and this well section corresponds to a corresponding depth range. Among them, the regional adjacent well recommended mechanical speed curve is based on the actual drilling rate data and formation lithology data at different depth positions (well depth data) corresponding to each well (including the drilled historical wells and the target well) in the oilfield area where the target well is located. For each depth position within the target well section, the corresponding mechanical drilling rate (recommended) data is recommended, thus forming a regional adjacent well recommended drilling rate curve established based on the big data of adjacent wells in the oilfield area. In addition, the engineering design drilling rate curve is based on the actual drilling rate data and formation lithology data at different depth positions (well depth data) corresponding to all the drilled historical wells in the oilfield area where the target well is located, as well as the formation lithology data at different depth positions (well depth data) corresponding to the target well. Using the mechanical drilling rate prediction method, the corresponding mechanical drilling rate (predicted) data is predicted for each depth position within the target well section, thus forming an engineering design drilling rate curve based on the target well section.

[0029] Therefore, the present invention utilizes the regional adjacent well recommended mechanical drilling rate curve and the engineering design mechanical drilling rate curve constructed based on the large data information of adjacent wells to analyze the parameter information for evaluating whether the change state of the actual mechanical drilling rate in the target well section is normal, that is, the value range change characteristic information. The current value range change characteristic information includes: the drilling rate change standards corresponding to different well depth positions in the target well section. Among them, the drilling rate change standard is the maximum change range of the actual mechanical drilling rate data allowed at the corresponding depth position. In this way, using the above value range change characteristic information, a reliable evaluation is made on whether the actual mechanical drilling rate data used in the actual drilling process is in a safe and more efficient state, thereby ensuring that the actual mechanical drilling rate is safe and more optimal.

[0030] Then, in step S120, when drilling construction is carried out for the current target well section, real-time mechanical drilling rate data needs to be obtained, and based on these real-time data, the corresponding actual mechanical drilling rate change curve is drawn. Among them, the actual mechanical drilling rate change curve represents the actual mechanical drilling rate data corresponding to different depth positions under the drilling working condition.

[0031] Furthermore, according to the actual mechanical drilling rate change curve obtained in step S120, using the regional adjacent well recommended mechanical drilling rate curve and the real-time drilling rate change range area established in step S110, a diagnosis is made on whether the change state of the current actual mechanical drilling rate is normal, so as to obtain the mechanical drilling rate evaluation result for the target well section, in order to realize the real-time drilling rate monitoring during the current target well section's drilling while drilling.

[0032] In this way, the embodiment of the present invention effectively solves the technical problem of real-time monitoring of the actual mechanical drilling rate based on regional big data by using the above steps S110 to S130, thereby ensuring that the actual mechanical drilling rate implemented in the entire drilling well section is safe and more optimal.

[0033] Figure 2 is the specific flowchart of the method for monitoring the actual mechanical drilling rate based on big data in the embodiment of the present application. The following combines Figure 1 and Figure 2A detailed description of the drilling rate monitoring method according to the embodiments of the present invention is given. Step S201 constructs the database resources required for the real-time drilling rate monitoring process. Before the implementation of the monitoring process, step S201 will establish several databases, including: a regional adjacent well recommended mechanical drilling rate database, a real-time mechanical drilling rate database of this well, and an engineering design mechanical drilling rate database. Among them, the regional adjacent well recommended mechanical drilling rate database is constructed based on the formation lithology data, well depth data, and real-time mechanical drilling rate data of each adjacent well in the oilfield area where the target well is located, as well as the formation lithology data, well depth data, and real-time mechanical drilling rate data of the drilled formations corresponding to the target well. It stores at least: the formation lithology data, well depth data, and real-time mechanical drilling rate data of each adjacent well in the oilfield area where the target well is located; and the formation lithology data, well depth data, and real-time mechanical drilling rate data of the drilled formations corresponding to the target well. The real-time mechanical drilling rate database of this well stores at least: the well depth data, formation lithology data, and real-time mechanical drilling rate data corresponding to the drilled well sections of the target well. The engineering design mechanical drilling rate database is constructed based on the data in the regional adjacent well recommended mechanical drilling rate database and the well depth data and formation lithology data in the target well section of the target well, etc. It stores at least all the data in the regional adjacent well recommended mechanical drilling rate database and all the data in the real-time mechanical drilling rate database of this well except for the real-time mechanical drilling rate data corresponding to the drilled well sections of the target well.

[0034] After the construction of each database is completed, step S202 is used to establish a regional adjacent well recommended mechanical drilling rate curve, and step S203 is used to establish an engineering design mechanical drilling rate curve. In step S202, according to the (large amount of) data resources in the regional adjacent well recommended mechanical drilling rate database regarding the target well, a preset regional adjacent well recommended mechanical drilling rate curve drawing program is called to establish the regional adjacent well recommended mechanical drilling rate curve for the target well section. The regional adjacent well recommended mechanical drilling rate curve drawing program is a programmed functional block that can draw the corresponding regional adjacent well recommended mechanical drilling rate curve based on all the big data resources in the regional adjacent well recommended mechanical drilling rate database as reference data. In this way, the embodiments of the present invention can directly convert the data resources in the regional adjacent well recommended mechanical drilling rate database into the corresponding regional adjacent well recommended mechanical drilling rate curve by using this regional adjacent well recommended mechanical drilling rate curve program, thus quickly forming the regional adjacent well recommended mechanical drilling rate curve, which is beneficial to improving the efficiency of the real-time mechanical drilling rate monitoring process based on big data.

[0035] Further, in step S203, according to a large amount of data resources in the engineering design ROP database of the target well, a preset engineering design ROP curve drawing program is called to establish an engineering design ROP curve for the target well section. The engineering design ROP curve drawing program is a programmatic function block that can draw a corresponding engineering design ROP curve based on all the big data resources in the engineering design ROP database as reference data. In this way, the embodiment of the present invention can directly convert the data resources in the engineering design ROP database into corresponding engineering design ROP curves by using this engineering design ROP curve program, so as to quickly form an engineering design ROP curve, which is beneficial to improving the efficiency of the actual drilling ROP monitoring process based on big data.

[0036] Further, after the establishment of the regional adjacent well recommended ROP curve and the engineering design ROP curve is completed, step S204 is entered. Step S204 obtains real-time ROP data and draws a corresponding actual drilling ROP change curve. Specifically, in step S204, according to the actual drilling ROP data (real-time ROP data) at different well depth positions in the target well section obtained during the real-time drilling construction process, a preset actual drilling ROP change curve drawing program is called to form an actual drilling ROP change curve that dynamically changes with the drilling depth. The actual drilling ROP change curve drawing program is a programmatic function block that can draw a corresponding actual drilling ROP change curve based on the actual drilling ROP data as reference data. In this way, the embodiment of the present invention can directly convert the actual drilling ROP data at different well depth positions into corresponding actual drilling ROP change curves by using this actual drilling ROP change curve drawing program, so as to quickly form an actual drilling ROP change curve, which is beneficial to improving the efficiency of the actual drilling ROP monitoring process based on big data.

[0037] Step S205 calculates the difference between the corresponding position points in the regional adjacent well recommended ROP curve and the engineering design ROP curve based on different well depth positions, and obtains the range change characteristic information representing the drilling speed change standard at different well depth positions in the target well section. Since each data point in the regional adjacent well recommended ROP curve represents the recommended ROP (recommended) data based on the regional adjacent wells at different well depth positions, and each data point in the engineering design ROP curve represents the mechanical drilling speed design data predicted for the target well at different well depth positions, for the target well, there are corresponding mechanical drilling speed recommended data and mechanical drilling speed design data at different well depth positions in the target well section.

[0038] Accordingly, in step S205, a preset rotational speed difference calculation program is directly called to calculate the difference between the recommended mechanical drilling speed curve of the regional adjacent wells drawn in step S202 and the mechanical drilling speed design data at the same well depth position in the mechanical drilling speed curve of the engineering design drawn in step S203, so as to form the characteristic information of the actual drilling mechanical drilling speed change value range based on the well depth, and then enter step S206. Among them, the value range change threshold characteristic information is used to represent the drilling speed change standard at different well depth positions within the target well section. The rotational speed difference calculation program is a programmatic functional block that can calculate the difference between the recommended mechanical drilling speed curve of the regional adjacent wells and the mechanical drilling speed curve of the engineering design at the same well depth position, and form the characteristic information of the drilling speed change standard at different well depth positions. In this way, the embodiment of the present invention can directly calculate the rotational speed difference between the corresponding points of the recommended mechanical drilling speed curve of the regional adjacent wells and the mechanical drilling speed curve of the engineering design by using this rotational speed difference calculation program, so as to quickly form a value range change threshold characteristic information (curve) containing the rotational speed difference calculation result information corresponding to different well depth positions, which is beneficial to improving the efficiency of the actual drilling mechanical drilling speed monitoring process based on big data.

[0039] In step S206, the recommended mechanical drilling speed curve of the regional adjacent wells drawn in step S202 is used as the reference curve, and based on the current reference curve, according to the value range change threshold characteristic information obtained in step S205, a symmetric curve of the mechanical drilling speed curve of the engineering design is established, so as to obtain the real-time drilling speed change range area. Specifically, in step S206, first, based on the determined reference curve, according to the change threshold characteristic information obtained in step S205 (by calculating the rotational speed difference between the corresponding points of the recommended mechanical drilling speed curve of the regional adjacent wells and the mechanical drilling speed curve of the engineering design), a symmetric curve of the mechanical drilling speed curve of the engineering design that is symmetric to the original mechanical drilling speed curve of the engineering design (drawn in step S202) with the reference curve as the axis is drawn. Then, the area between the current symmetric curve and the original mechanical drilling speed curve of the engineering design is determined as the real-time rotational speed change range area, so that a corresponding mechanical drilling speed data change range is formed for each well depth position within the target well section. Among them, the mechanical drilling speed data change range at a certain well depth position refers to the maximum range that the actual drilling mechanical rotational speed data at the current well depth position can allow when it reaches a safe and (drilling with improved speed and efficiency) efficient state. In this way, the embodiment of the present invention obtains the evaluation standard range information for diagnosing whether the actual mechanical drilling speed of the target well has the characteristics of safety and high efficiency, and then enters step S207.

[0040] In step S207, based on the actual drilling ROP change curve obtained in step S204, using the recommended ROP curve of adjacent wells in the area drawn in step S202 and the real-time ROP change range area obtained in step S206, it is diagnosed whether the change state of the current actual drilling ROP is normal (whether it reaches a safe and efficient state), and the ROP evaluation result for the target well section is obtained.

[0041] Specifically, in the first embodiment, when the actual drilling ROP change curve fluctuates periodically with the recommended ROP curve of adjacent wells in the area and the actual drilling ROP change curve is within the above real-time ROP change range area, it is determined that the change state of the current actual drilling ROP is normal (that is, the current actual drilling ROP is safe and efficient), and the normal or abnormal state of the next actual drilling ROP is continuously detected to achieve the purpose of continuously diagnosing and monitoring the actual drilling ROP data at different well depth positions in the current target well section until the rotation speed monitoring task for all well depth positions in the target well section is completed and the current drilling construction is ended. In the second embodiment, when the actual drilling ROP change curve exceeds the above real-time ROP change range area, it is determined that the change state of the current actual drilling ROP is abnormal, and step S208 generates a warning prompt message for the current abnormality. The warning prompt message includes, but is not limited to: one or more current abnormal actual drilling ROP data and corresponding well depth position data, and a warning mark.

[0042] Furthermore, during the implementation of the ROP monitoring method described in the present invention, step S209 is also included. Step S209 corrects the recommended ROP curve of adjacent wells in the area constructed in step S203 according to information such as the formation lithology data, well depth data, and actual drilling ROP data of the drilled well section in the current target well section, so as to perform real-time diagnosis and monitoring of the actual drilling ROP of the undrilled well section in the next (target) well section according to the corrected curve. In step S209, according to information such as the formation lithology data, well depth data, and actual drilling ROP data of the drilled well section in the current target well section, the recommended ROP curve of adjacent wells in the area is corrected by updating the data in the recommended ROP database of adjacent wells in the area, so as to re-correct the recommended ROP curve of adjacent wells in the next well section, the symmetric curve, and the real-time ROP change range area. In this way, the change situation of the actual drilling ROP in the next well section can be continuously monitored.

[0043] Therefore, based on the configuration of the above-mentioned multiple programmed function blocks, the embodiments of the present invention can, during the drilling process, establish various types of information required for the drilling speed monitoring process, such as the recommended mechanical drilling speed curve of adjacent wells in the area and the engineering design mechanical drilling speed curve, based on the big data of adjacent wells in the area, and give a prompt when the actual drilling mechanical drilling speed data is abnormal; it can also correct the recommended mechanical drilling speed curve of adjacent wells in the area required for the drilling process of the next well section after the logging-while-drilling of the target well section is completed. In this way, the real-time monitoring method of the actual drilling mechanical drilling speed based on big data of the present invention can not only ensure the safety and optimal efficiency of the actual drilling mechanical drilling speed data of the target well section, but also meet the real-time requirement of the logging-while-drilling monitoring, providing a new technical means for improving the drilling speed and efficiency.

[0044] On the other hand, based on the drilling speed monitoring method, the present invention also proposes a real-time monitoring system for actual drilling mechanical drilling speed based on big data. Figure 3 It is a block diagram of the modules of the real-time monitoring system for actual drilling mechanical drilling speed based on big data in the embodiments of the present application. As Figure 3 shown, the real-time monitoring system for actual drilling mechanical drilling speed based on big data (hereinafter referred to as the "drilling speed monitoring system") described in the present invention includes: an evaluation curve generation module 31, an actual drilling curve generation module 32, and a drilling speed monitoring module 33.

[0045] Among them, the evaluation curve generation module 31 is implemented according to the method described in step S110 above, and is configured to establish a recommended mechanical drilling speed curve of adjacent wells in the area for the target well section and an engineering design mechanical drilling speed curve. Based on this, a real-time drilling speed change range area containing information on the fluctuation range of the real-time mechanical drilling speed at different well depth positions is obtained. The actual drilling curve generation module 32 is implemented according to the method described in step S120 above, and is configured to obtain real-time drilling speed data and draw a corresponding actual drilling mechanical drilling speed change curve. The drilling speed monitoring module 33 is implemented according to the method described in step S130 above, and is configured to diagnose whether the change state of the current actual drilling mechanical drilling speed is normal according to the actual drilling mechanical drilling speed change curve, using the recommended mechanical drilling speed curve of adjacent wells in the area and the real-time drilling speed change range area, and obtain a mechanical drilling speed evaluation result for the target well section, so as to realize the real-time monitoring of the actual drilling speed during the drilling construction of the current target well section.

[0046] Furthermore, the evaluation curve generation module 31 includes: the actual drilling rate database 311 of the well, the recommended drilling rate database 312 of adjacent wells in the area, the engineering design drilling rate database 313, the reference curve generation unit 314, the design curve generation unit 315, the value range change characteristic information generation unit 316, and the real-time drilling rate change range area generation unit 317. Among them, the actual drilling rate database 311 of the well stores at least: the well depth data corresponding to the drilled section of the target well, the formation lithology data, and the actual drilling rate data. The recommended drilling rate database 312 of adjacent wells in the area stores at least: the formation lithology data, well depth data, and actual drilling rate data corresponding to each well in the oilfield area where the target well is located; and the formation lithology data, well depth data, and actual drilling rate data of the drilled section corresponding to the target well. The engineering design drilling rate database 313 stores at least all the data in the recommended drilling rate database of adjacent wells in the area and all the data in the actual drilling rate database of the well except the actual drilling rate data corresponding to the drilled section of the target well.

[0047] The reference curve generation unit 314 is configured to call a preset recommended drilling rate curve drawing program of adjacent wells in the area according to a large amount of data resources in the recommended drilling rate database 312 of adjacent wells in the area of the target well, and establish a recommended drilling rate curve of adjacent wells in the area of the target section. The design curve generation unit 315 is configured to call a preset engineering design drilling rate curve drawing program according to a large amount of data resources in the engineering design drilling rate database 313, and establish an engineering design drilling rate curve of the target section. The value range change characteristic information generation unit 316 is configured to calculate the difference between the corresponding position points of the recommended drilling rate curve of adjacent wells in the area and the engineering design drilling rate curve based on different well depth positions, and obtain the change threshold characteristic information representing the drilling rate change standard at different well depth positions of the target section. The real-time drilling rate change range area generation unit 317 is configured to use the recommended drilling rate curve of adjacent wells in the area as the reference curve, and establish a symmetric curve of the engineering design drilling rate curve according to the change threshold characteristic information, so as to obtain the real-time drilling rate change range area.

[0048] Furthermore, the above-mentioned drilling rate monitoring module 33 is also configured to, if the actual drilling rate change curve fluctuates periodically with the recommended drilling rate curve of adjacent wells in the area and the actual drilling rate change curve is within the real-time drilling rate change range area, then the change state of the current actual drilling rate is normal, and continue to monitor. In addition, the drilling rate monitoring module 33 is also configured to, if there is a situation where the actual drilling rate change curve exceeds the real-time drilling rate change range area, then determine that the change state of the current actual drilling rate is abnormal, and generate a warning information for the current abnormality.

[0049] In addition, the drilling rate monitoring system of the present invention further includes: a correction module 34. The correction module 34 is configured to correct the recommended mechanical drilling rate curve of adjacent wells in the area according to the actual mechanical drilling rate data of the drilled well section, so as to continue to diagnose and monitor the actual mechanical drilling rate of the undrilled well section in the next well section according to the corrected curve information.

[0050] The present invention discloses a method and system for monitoring the actual mechanical drilling rate based on big data. The method and system use the big data recommended mechanical drilling rate of adjacent wells in the oilfield block as the reference curve, and take the difference between the corresponding points of the recommended mechanical drilling rate curve and the designed mechanical drilling rate curve as the change range of the actual mechanical drilling rate to monitor the change of the actual mechanical drilling rate in real time. The present invention can ensure that the actual mechanical drilling rate of the entire drilling well section is safe and optimal during the drilling process, providing a new technical means for improving the drilling speed and efficiency. With the increasing depth of onshore exploration and development and offshore drilling, it will have a wider application prospect. In addition, the present invention is the key and foundation for realizing the construction monitoring of oil drilling engineering, and is a key technology required for the research of oil drilling engineering construction and remote monitoring technology.

[0051] As mentioned above, only the specific preferred embodiments of the present invention are described, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention should be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

[0052] It should be understood that the embodiments disclosed by the present invention are not limited to the specific structures, processing steps or materials disclosed herein, but should extend to equivalent alternatives of these features understood by those of ordinary skill in the relevant art. It should also be understood that the terms used herein are only for the purpose of describing specific embodiments and do not mean to limit.

[0053] The "one embodiment" or "embodiment" mentioned in the specification means that the specific features, structures or characteristics described in connection with the embodiment are included in at least one embodiment of the present invention. Therefore, the phrases "one embodiment" or "embodiment" that appear throughout the specification do not necessarily all refer to the same embodiment.

[0054] Although the disclosed embodiments of the present invention are as above, the content described is only the embodiment adopted for the convenience of understanding the present invention and is not intended to limit the present invention. Any person skilled in the technical field to which the present invention belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed by the present invention. However, the patent protection scope of the present invention shall still be subject to the scope defined by the appended claims.

Claims

1. A real-time drilling rate monitoring method based on big data, including: An evaluation curve generation step of establishing a recommended mechanical drilling rate curve of adjacent wells in the target well section being drilled and an engineering design mechanical drilling rate curve. Based on this, a real-time drilling rate change range area containing real-time mechanical drilling rate fluctuation range information at different well depth positions is obtained. Among them, according to the real-time mechanical drilling rate data and formation lithology data at different depth positions corresponding to each adjacent well in the oilfield area where the target well is located, the mechanical drilling rate data for each depth position within the target well section is recommended to form a recommended mechanical drilling rate curve of adjacent wells in the area; A real-time drilling curve generation step of obtaining real-time drilling rate data and plotting the corresponding real-time mechanical drilling rate change curve; A drilling rate monitoring step of diagnosing whether the change state of the current real-time mechanical drilling rate is normal according to the real-time mechanical drilling rate change curve, using the recommended mechanical drilling rate curve of adjacent wells in the area and the real-time drilling rate change range area, to obtain a mechanical drilling rate evaluation result for the target well section, so as to realize real-time drilling rate monitoring during drilling construction. Among them, the evaluation curve generation step includes: Based on different well depth positions, calculating the difference between the corresponding position points in the recommended mechanical drilling rate curve of adjacent wells in the area and the engineering design mechanical drilling rate curve to obtain value range change threshold characteristic information characterizing the drilling rate change standard at different well depth positions in the target well section; Taking the recommended mechanical drilling rate curve of adjacent wells in the area as the reference curve, and establishing a symmetric curve of the engineering design mechanical drilling rate curve according to the value range change threshold characteristic information, so as to determine the area between the current symmetric curve and the original engineering design mechanical drilling rate curve as the real-time drilling rate change range area. Among them, the drilling rate monitoring step includes: If the real-time mechanical drilling rate change curve fluctuates periodically with the recommended mechanical drilling rate curve of adjacent wells in the area and the real-time mechanical drilling rate change curve is within the real-time drilling rate change range area, then the change state of the current real-time mechanical drilling rate is normal, and continue to monitor; If the real-time mechanical drilling rate change curve exists outside the real-time drilling rate change range area, then determine that the change state of the current real-time mechanical drilling rate is abnormal and generate a warning information for the current abnormality.

2. The method according to claim 1, wherein, According to the real-time mechanical drilling rate data of the drilled well section, the recommended mechanical drilling rate curve of adjacent wells in the area is corrected to continue diagnosing and monitoring the real-time mechanical drilling rate of the next well section according to the corrected curve information.

3. The method according to claim 1 or 2, wherein, In the step of establishing a recommended mechanical drilling rate curve of adjacent wells in the area for the target well section, it includes: Based on the data in the preset recommended mechanical drilling rate database of adjacent wells in the area, establishing a recommended mechanical drilling rate curve of adjacent wells in the area for the target well section. Among them, According to the formation lithology data, well depth data and real-time mechanical drilling rate data corresponding to each adjacent well in the oilfield area where the target well is located, the recommended mechanical drilling rate database of adjacent wells in the area is constructed.

4. The method according to claim 3, wherein, In the step of establishing the engineering design ROP curve for the target well section, it includes: Based on the data in the preset engineering design ROP database, establish the engineering design ROP curve for the target well section, where Construct the engineering design ROP database according to the data in the regional adjacent well recommended ROP database, as well as the well depth data, formation lithology data, and actual drilling ROP data in the current target well where the target well section is located.

5. A real-time drilling ROP monitoring system based on big data including: An evaluation curve generation module configured to establish the regional adjacent well recommended ROP curve and the engineering design ROP curve for the target well section being drilled. Based on this, obtain the real-time ROP change range area containing the real-time ROP fluctuation range information at different well depth positions. Among them, according to the actual drilling ROP data and formation lithology data at different depth positions corresponding to each adjacent well in the oilfield area where the target well is located, recommend the ROP data for each depth position in the target well section to form the regional adjacent well recommended ROP curve; An actual drilling curve generation module configured to obtain real-time ROP data and draw the corresponding actual drilling ROP change curve; A ROP monitoring module configured to diagnose whether the change state of the current actual drilling ROP is normal according to the actual drilling ROP change curve, using the regional adjacent well recommended ROP curve and the real-time ROP change range area, to obtain the ROP evaluation result for the target well section, so as to realize real-time ROP monitoring during drilling construction. Among them, the evaluation curve generation module includes: A value range change characteristic information generation unit configured to calculate the difference between the corresponding position points in the regional adjacent well recommended ROP curve and the engineering design ROP curve based on different well depth positions, to obtain the value range change threshold characteristic information representing the ROP change standard at different well depth positions in the target well section; A real-time ROP change range area generation unit configured to use the regional adjacent well recommended ROP curve as the reference curve, and according to the value range change threshold characteristic information, establish the symmetric curve of the engineering design ROP curve, so as to determine the area between the current symmetric curve and the original engineering design ROP curve as the real-time ROP change range area. Among them, in the ROP monitoring module, If the actual drilling ROP change curve fluctuates periodically with the regional adjacent well recommended ROP curve and the actual drilling ROP change curve is within the real-time ROP change range area, then the change state of the current actual drilling ROP is normal, and continue to monitor; If the actual drilling ROP change curve exists in a situation beyond the real-time ROP change range area, then determine that the change state of the current actual drilling ROP is abnormal, and generate a warning information for the current abnormality.

6. The system according to claim 5 characterized in that The system further includes: A correction module, configured to correct the recommended mechanical drilling rate curve of adjacent wells in the area according to the mechanical drilling rate data of the drilled well section when the change state of the current actual mechanical drilling rate is abnormal, so as to continue to diagnose and monitor the actual mechanical drilling rate of the target well section according to the corrected curve information.

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