Downhole drilling environment data transmission system based on artificial intelligence

Abstract

The present invention discloses an artificial intelligence-based downhole drilling environment data transmission system, which relates to the technical field of downhole data transmission. It solves the technical problems in the prior art that the data cannot be optimized, resulting in high data transmission intensity, and the pulse signal conversion cannot be performed and periodic characteristics cannot be presented. Specifically, the transmission data simplification processing unit processes the data collected by the data acquisition front end, uses the collected data of the data acquisition front end as the data transmission log, and performs data simplification processing on the data transmission log, uses the data acquisition front end model as the data front sequence, and after determining the data front sequence, performs floating analysis on the collected data of the current data acquisition front end, and uses the collected data front sequence, sequence sub-item and corresponding sequence sub-item data to construct a transmission data chain; the data pulse signal conversion unit performs pulse signal conversion on the transmission data chain.

Description

Technical Field

[0001] The present invention relates to the technical field of downhole data transmission, and in particular to a downhole drilling environment data transmission system based on artificial intelligence. Background Art

[0002] The downhole drilling environment data transmission system is a key device used in oil and gas drilling operations to collect various downhole environmental data in real time and transmit this data accurately and quickly to the ground control system; it plays a vital role in ensuring the safe and efficient conduct of drilling operations.

[0003] However, in the existing technology, it is impossible to perform hardware performance analysis on the acquisition layer when transmitting downhole drilling environment data, nor is it possible to perform multi-type verification acquisition analysis during the acquisition process, and the efficiency and accuracy of the acquisition cannot be guaranteed. In addition, the inability to optimize data results in high data transmission intensity, and the inability to perform pulse signal conversion and present periodic characteristics, which reduces the efficiency of data transmission.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose an artificial intelligence-based downhole drilling environment data transmission system.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] The AI-based downhole drilling environment data transmission system includes an acquisition layer, a transmission layer, and a processing layer. The acquisition layer is equipped with a hardware performance identification module and a multi-sensor verification module.

[0008] The hardware performance identification module analyzes and identifies the hardware performance of the downhole drilling data acquisition front end, collects front-end adaptation data and front-end adjustment data, and infers whether the hardware performance is qualified based on data analysis;

[0009] The multi-sensor verification module performs multi-type verification on the data acquisition front end, obtains acquisition target information and acquisition priority information, and infers whether the multi-sensor verification is qualified based on information processing;

[0010] The transmission layer is equipped with a transmission data concise processing unit and a data pulse signal conversion unit;

[0011] The transmission data concise processing unit processes the data collected by the data collection front end, uses the collected data of the data collection front end as the data transmission log, and performs data concise processing on the data transmission log, uses the data collection front end model as the data front sequence, and after determining the data front sequence, performs floating analysis on the collected data of the current data collection front end, and uses the collected data front sequence, sequence sub-item and corresponding sequence sub-item data to build a transmission data chain;

[0012] The data pulse signal conversion unit converts the transmission data link into pulse signals;

[0013] The processing layer is provided with a transmission environment interference identification unit and a transmission sequence analysis unit;

[0014] The transmission environment interference identification unit performs transmission environment interference identification and analysis on the real-time drilling area, collects interference delay data and interference deviation data, and infers whether the transmission environment's anti-interference performance is normal based on data analysis;

[0015] After the anti-interference performance is normal, the transmission sequence analysis unit performs sequence analysis on the real-time transmitted pulse signal sequence.

[0016] As a preferred embodiment of the present invention, the front-end adaptation data and the front-end adjustment data are respectively the deviation value between the real-time collected data volume and the set data volume during the data collection cycle of the data collection front-end under different drilling environments, and the missing amount of collected data corresponding to the value fluctuation of the collected data during the non-collection time during the data collection phase of the data collection front-end;

[0017] If the front-end adaptation data exceeds the data volume deviation threshold, or the front-end adjustment data exceeds the data missing amount threshold, an adaptive low-efficiency signal is generated; if the front-end adaptation data does not exceed the data volume deviation threshold, and the front-end adjustment data exceeds the data missing amount threshold, an adaptive high-efficiency signal is generated.

[0018] As a preferred embodiment of the present invention, the collection target information and the collection priority information are respectively the ratio of the collected data volume with associated data in the data collected at the same time during the operation of the data collection front end, and the ratio of the associated data collection volume of any data at the same time to the non-associated data collection volume;

[0019] If the collection target information exceeds the collection data volume ratio threshold, and the collection priority information exceeds the collection volume ratio threshold, a qualified collection signal is generated; if the collection target information does not exceed the collection data volume ratio threshold, or the collection priority information does not exceed the collection volume ratio threshold, a failed collection signal is generated.

[0020] As a preferred embodiment of the present invention, the floating analysis process is as follows:

[0021] Get the time span of floating data in the collected data of the current data collection front end, as well as the floating maximum concentration period density of floating data in the collected data:

[0022] If the time span of the floating data in the collected data of the current data collection front end exceeds the time span threshold, and the floating maximum concentrated period density of the floating data in the collected data exceeds the maximum concentrated period density threshold, then the sequence sub-item of the corresponding data collection front end is set as the period;

[0023] If the time span of the floating data in the collected data of the current data collection front end does not exceed the time span threshold, and the floating maximum concentrated period density of the floating data in the collected data does not exceed the maximum concentrated period density threshold, then the sequence sub-item of the corresponding data collection front end will be set to moment; and the corresponding type of numerical value collection will be performed according to the set sequence sub-item type.

[0024] As a preferred embodiment of the present invention, the process of the data pulse signal conversion unit is as follows:

[0025] Analyze the current transmission chain, using the data collected in the previous sequence as the vertical coordinate and the sequence sub-item as the horizontal coordinate. Convert the corresponding collected data of the sequence sub-item and set the baseline according to the normal range of the collected data at the location. That is, mark the baseline in the coordinate system. If the sequence sub-item is a moment, the baseline is a point; if the sequence sub-item is a time period, the baseline is a line.

[0026] During the data collection phase, if the real-time value exceeds the normal range, a full pulse is performed, that is, the baseline rises in the coordinate system, and the rising height is the set height threshold. Conversely, if the real-time value is lower than the normal range, a reverse full pulse is performed, that is, the baseline falls in the coordinate system at the set height threshold.

[0027] The floating of the baseline is used as a pulse signal sequence and the pulse signal sequence and the transmission data link are sent to the ground controller terminal.

[0028] As a preferred embodiment of the present invention, the interference delay data and the interference deviation data are respectively the delay duration caused by the fluctuation of the transmission speed of the corresponding pulse signal sequence when the environmental parameters fluctuate during the data transmission stage, and the deviation of the transmission and reception interval time of the transmission data link when the environmental parameters do not fluctuate during the data transmission stage.

[0029] As a preferred embodiment of the present invention, if the interference delay data exceeds the delay duration threshold, or the interference deviation data exceeds the time deviation threshold, an interference identification signal is generated; if the interference delay data does not exceed the delay duration threshold, and the interference deviation data does not exceed the time deviation threshold, an interference-free identification signal is generated.

[0030] As a preferred embodiment of the present invention, the sequence analysis process is as follows:

[0031] Obtain pulse frequency information and pulse impact information. If the pulse frequency information exceeds the continuous execution frequency peak threshold, or the pulse impact information exceeds the data mean deviation threshold, a construction re-decision signal is generated; if the pulse frequency information does not exceed the continuous execution frequency peak threshold, and the pulse impact information does not exceed the data mean deviation threshold, a construction decision unchanged signal is generated.

[0032] As a preferred embodiment of the present invention, the pulse frequency information and the pulse impact information are respectively the peak frequency of continuous execution of full-value pulses with the same trend in the real-time received pulse signal sequence, and the deviation between the mean of the real-time data volume corresponding to the vertical coordinate and the mean of the data volume corresponding to the baseline after the full-value pulses with the same trend in the pulse signal sequence are continuously executed.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. In the present invention, performance analysis is used to identify and infer whether the real-time operating status of the current data acquisition front end when performing downhole environmental data acquisition is qualified, so as to improve the efficiency of downhole drilling environment data acquisition and avoid abnormal hardware equipment performance causing a decrease in data transmission efficiency and the inability to accurately collect data; through multi-type verification, it is inferred whether the data collection pertinence of different sensors running at the same time in the current data acquisition stage meets the requirements, so as to avoid the inability to timely collect related data at the same time when different sensors are collecting data, resulting in a decrease in the comprehensiveness of data collection.

[0035] 2. In the present invention, the optimization of data memory capacity facilitates the improvement of data transmission efficiency without affecting the comprehensiveness of data transmission, ensuring that the transmitted data can accurately reflect the construction status of the drilling area, and construction decisions can be made based on the transmitted data. At the same time, the size of the transmitted data is reduced, which can effectively speed up data transmission efficiency, reduce the occupancy of data transmission channels, and improve the smoothness of all data transmission in the entire drilling area.

[0036] The transmission data is transmitted to the ground in real time through pulse signal conversion, and the pulse signal sequence can show periodic or non-periodic characteristics on the time axis, which is conducive to improving the efficiency of data transmission.

[0037] 3. In the present invention, the transmission environment interference identification analysis is performed on the real-time drilling area, and the interference identification analysis is used to infer whether the interference influence of the current data transmission exists. At the same time, the real-time transmission efficiency analysis is used to infer whether the anti-interference performance of the current data transmission is qualified, thereby ensuring the high efficiency of data transmission and improving the data transmission efficiency. The real-time transmitted pulse signal sequence is subjected to sequence analysis, and the sequence analysis is used to infer whether the construction feasibility of the current drilling environment is normal. The pulse signal sequence analysis is used to make construction decisions to ensure construction safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0039] Figure 1 It is a principle block diagram of the present invention;

[0040] Figure 2 This is a flow chart of a method according to embodiment 1 of the present invention;

[0041] Figure 3 This is a flow chart of the method of embodiment 2 of the present invention;

[0042] Figure 4 This is a flow chart of the method of embodiment 3 of the present invention. DETAILED DESCRIPTION

[0043] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0044] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0045] See also Figure 1 As shown, the downhole drilling environment data transmission system based on artificial intelligence includes an acquisition layer, a transmission layer, and a processing layer. The acquisition layer is used as the front end of the downhole drilling environment data transmission system to collect data on the downhole drilling environment and perform data verification and collection according to different collection methods. The acquisition front end of the acquisition layer in this system belongs to the sensor scenario in the existing technology, and the hardware adapted to wireless transmission and priority transmission can correspond to data collection and statistics.

[0046] After the acquisition layer completes data collection, the transmission layer processes the data and converts the signal for transmission. It also promotes the conversion efficiency of the converted signal based on the data processing and improves the data transmission rate. The data transmission protocol adapted in the transport layer of this system is only of the same type. If other types of data transmission protocols appear, the administrator terminal needs to supplement the protocol to avoid diverse data transmission rules and reduce transmission efficiency.

[0047] After the transport layer completes data transmission, the processing layer processes and analyzes the real-time transmission data;

[0048] Example 1

[0049] See also Figure 1 and Figure 2 As shown, the acquisition layer is equipped with a hardware performance identification module and a multi-sensor verification module; the operation process of the acquisition layer is as follows:

[0050] The hardware performance identification module analyzes and identifies the hardware performance of the downhole drilling data acquisition front end. Through performance analysis and identification, it infers whether the real-time operating status of the current data acquisition front end is qualified when collecting downhole environmental data, so as to improve the efficiency of downhole drilling environmental data collection and avoid hardware equipment performance abnormalities that cause a decrease in data transmission efficiency and inability to accurately collect data. The data acquisition front end includes components such as sensors;

[0051] The data acquisition front end set in the downhole drilling area is assigned a label i, where i is a natural number greater than 1; the deviation value between the real-time data collected and the set data volume during the data acquisition cycle of the data acquisition front end in different drilling environments is obtained, where the data volume is the number of data at each moment in the current period, such as temperature, pressure, etc.; or the number of data samples corresponding to each moment, such as temperature, 10°C, 15°C; and the deviation value between the real-time data collected and the set data volume during the data acquisition cycle of the data acquisition front end in different drilling environments is marked as the front-end adaptation data;

[0052] Obtain the amount of missing data corresponding to the value fluctuation of the collected data at the non-collection time during the data collection phase of the data collection front end, and mark the amount of missing data corresponding to the value fluctuation of the collected data at the non-collection time during the data collection phase of the data collection front end as front-end adjustment data;

[0053] Compare the front-end adaptation data and the front-end adjustment data with the data amount deviation threshold and the data missing amount threshold respectively:

[0054] If the front-end adaptation data exceeds the data volume deviation threshold, or the front-end adjustment data exceeds the data missing threshold, it is inferred that the hardware performance recognition in the collection layer is abnormal and cannot adapt to the current drilling environment. An adaptive inefficiency signal is generated and sent to the administrator terminal, and the administrator terminal replaces the data collection front-end specifications.

[0055] If the front-end adaptation data does not exceed the data volume deviation threshold, and the front-end adjustment data exceeds the data missing volume threshold, it is inferred that the hardware performance recognition in the collection layer is normal, and an adaptive high-efficiency signal is generated and sent to the administrator terminal;

[0056] After hardware performance identification is completed and self-adaptive and efficient, the multi-sensor verification module performs multi-type verification on the data acquisition front end. Through multi-type verification, it is inferred whether the data collection pertinence of different sensors running at the same time in the current data collection phase meets the requirements, avoiding the failure to collect related data in time when different sensors collect at the same time, resulting in a decrease in the comprehensiveness of data collection.

[0057] Acquire the data collected in the drilling environment, and perform data impact analysis on the collected data based on the historical drilling area monitoring process. If any data in the historical drilling area monitoring process fluctuates and the frequency of any data except the current data fluctuates exceeds the set frequency threshold, the corresponding two data are marked as associated data. In this application, in addition to the historical monitoring process, the associated data can also be set based on the work experience of construction personnel in this field. For example, if the drilling depth fluctuates, the pressure value at the corresponding position will also fluctuate; otherwise, it will be marked as non-associated data.

[0058] The proportion of the collected data volume with associated data in the data collected at the same time during the operation of the data collection front-end is obtained, and the data volume ratio of the associated data collected and the non-associated data collected of any data at the same time is obtained. The proportion of the collected data volume with associated data in the data collected at the same time during the operation of the data collection front-end and the data volume ratio of the associated data collected and the non-associated data collected of any data at the same time are marked as collection target information and collection priority information, respectively; and compared with the collection data volume ratio threshold and the collection volume ratio threshold, respectively:

[0059] If the proportion of the collected data volume containing associated data in the collected data at the same time during the operation of the data collection front-end exceeds the collected data volume ratio threshold, and the data volume ratio of the associated data collection volume to the non-associated data collection volume of any data at the same time exceeds the collection volume ratio threshold, it is inferred that the multi-sensor verification of the data collection front-end is qualified, and a qualified collection signal is generated and sent to the administrator terminal;

[0060] If the proportion of the collected data volume with associated data in the collected data at the same time during the operation of the data collection front-end does not exceed the collected data volume ratio threshold, or the ratio of the collected data volume of associated data and the collected data volume of non-associated data of any data at the same time does not exceed the collection volume ratio threshold, it is inferred that the multi-sensor verification of the data collection front-end has failed, and a coordinated collection failure signal is generated and sent to the administrator terminal. After receiving the coordinated collection failure signal, the administrator terminal issues instructions to control the data collection front-end in the drilling area, that is, the data collection front-end of the associated data also collects data when the data is generated;

[0061] Example 2

[0062] See also Figure 1 and Figure 3 As shown, the transmission layer is provided with a transmission data concise processing unit and a data pulse signal conversion unit;

[0063] The transmission data concise processing unit is used to process the data collected by the data acquisition front end, that is, to optimize the data memory capacity to improve the data transmission efficiency without affecting the comprehensiveness of data transmission, to ensure that the transmitted data can accurately reflect the construction status of the drilling area, to make construction decisions based on the transmitted data, and at the same time reduce the data size of the transmitted data, which can effectively speed up the data transmission efficiency, reduce the occupancy of the data transmission path, and improve the smoothness of all data transmission in the entire drilling area;

[0064] The data collected by the data acquisition front end is used as the data transmission log, and the data transmission log is processed simplistically. The data acquisition front end model is used as the data front sequence. After the data front sequence is determined, the data collected by the current data acquisition front end is subjected to floating analysis.

[0065] Obtain the time span of floating data in the collected data of the current data collection front end, as well as the floating maximum concentrated period density of floating data in the collected data, where the floating maximum concentrated period density is represented by the period in which the collected data has the highest number and frequency of data floating; and compare the time span of floating data in the collected data of the current data collection front end, as well as the floating maximum concentrated period density of floating data in the collected data with the time span threshold and the maximum concentrated period density threshold respectively:

[0066] If the time span of floating data in the collected data of the current data collection front end exceeds the time span threshold, and the floating maximum concentrated period density of floating data in the collected data exceeds the maximum concentrated period density threshold, it is inferred that the time series effect of the collected data of the current data collection front end is low, and the sequence sub-item of the corresponding data collection front end is set to the period, that is, the period is set as the sequence sub-item. After the front sequence of the data is determined, the collected data is extended according to the period as the sequence sub-item. For example, for the temperature front end, period A and period B are set; and the basis for extending the collected data within the period of the sequence sub-item is to display the data floating moment, that is, when period A is not the maximum concentrated period, the corresponding data at the time in the corresponding period is constant and not transmitted, and the data with floating values is retained and transmitted with the corresponding time; for example, when period B is the maximum concentrated period, the data at each moment in the period is likely to have floating values;

[0067] If the time span of the floating data in the collected data of the current data collection front end does not exceed the time span threshold, and the floating maximum concentrated period density of the floating data in the collected data does not exceed the maximum concentrated period density threshold, then it is inferred that the time series effect of the collected data of the current data collection front end is low, and the sequence sub-item of the corresponding data collection front end is set to the moment, that is, the moment is set as the sequence sub-item, and after the front sequence of the data is determined, the collected data is extended according to the moment as the sequence sub-item; it can be understood that if the data floating span is low and the concentrated period density is low, the data will fluctuate slowly and continuously, so using the moment as the sequence sub-item can make data analysis more intuitive based on the transmitted data;

[0068] Collect the corresponding type of values according to the set sequence sub-item type;

[0069] After completing the data collection of the front sequence, sequence sub-items and corresponding sequence sub-items, a transmission data chain is constructed. The data pulse signal conversion unit converts the transmission data chain into pulse signals. Through the pulse signal conversion, the transmission data is transmitted to the ground in real time. The pulse signal sequence can show periodic or non-periodic characteristics on the time axis, which is conducive to improving the efficiency of data transmission.

[0070] Analyze the current transmission chain, using the data collected in the previous sequence as the vertical coordinate and the sequence sub-item as the horizontal coordinate. Convert the corresponding collected data of the sequence sub-item and set the baseline according to the normal range of the collected data at the location. That is, mark the baseline in the coordinate system. If the sequence sub-item is a moment, the baseline is a point; if the sequence sub-item is a time period, the baseline is a line.

[0071] During the data collection phase, if the real-time value exceeds the normal range, a full pulse is performed, that is, the baseline rises in the coordinate system, and the rising height is the set height threshold. Conversely, if the real-time value is lower than the normal range, a reverse full pulse is performed, that is, the baseline falls in the coordinate system at the set height threshold.

[0072] The floating of the baseline is used as a pulse signal sequence and the pulse signal sequence and the transmission data link are sent to the ground controller terminal;

[0073] Example 3

[0074] See also Figure 1 and Figure 4 As shown, a transmission environment interference identification unit and a transmission sequence analysis unit are provided in the processing layer;

[0075] During the data transmission phase, the transmission environment interference identification unit performs transmission environment interference identification and analysis on the real-time drilling area. Through interference identification and analysis, it infers whether there is interference impact on the current data transmission. At the same time, based on the real-time transmission efficiency analysis, it infers whether the anti-interference performance of the current data transmission is qualified, thus ensuring the high efficiency of data transmission and improving data transmission efficiency.

[0076] The delay time caused by the fluctuation of the transmission speed of the pulse signal sequence corresponding to the fluctuation of the environmental parameters in the data transmission stage is obtained, and the deviation of the transmission and reception interval time of the transmission data link when the environmental parameters do not fluctuate in the data transmission stage is obtained. The delay time caused by the fluctuation of the transmission speed of the pulse signal sequence corresponding to the fluctuation of the environmental parameters in the data transmission stage and the deviation of the transmission and reception interval time of the transmission data link when the environmental parameters do not fluctuate in the data transmission stage are marked as interference delay data and interference deviation data, respectively, and compared with the delay time threshold and the time deviation threshold, respectively: the environmental parameters are represented by parameters such as temperature and magnetic field strength in the surrounding environment of the drilling area. If the environmental parameters fluctuate, it means that the parameter value fluctuation exceeds the set floating span. If there is no fluctuation, it means that the surface parameter value fluctuation does not exceed the set floating span.

[0077] If the delay caused by the fluctuation of the transmission speed of the corresponding pulse signal sequence when the environmental parameters fluctuate during the data transmission stage exceeds the delay time threshold, or the deviation of the transmission and reception interval time of the transmission data link when the environmental parameters do not fluctuate during the data transmission stage exceeds the time deviation threshold, it is inferred that the anti-interference performance of the corresponding transmission environment during the data transmission stage is poor, and an interference identification signal is generated and sent to the ground administrator terminal. After receiving the interference identification signal, the ground administrator terminal adjusts the transmission time of the current data transmission to avoid excessive data transmission during the environmental parameter fluctuation stage, and continuously monitors the surrounding environment;

[0078] If the delay caused by the fluctuation of the transmission speed of the corresponding pulse signal sequence when the environmental parameters fluctuate during the data transmission phase does not exceed the delay threshold, and the deviation of the transmission and reception interval time of the transmission data link when the environmental parameters do not fluctuate during the data transmission phase does not exceed the time deviation threshold, it is inferred that the anti-interference performance of the transmission environment corresponding to the data transmission phase is good, and an interference-free identification signal is generated and sent to the ground administrator terminal;

[0079] After receiving the interference-free signal, the ground administrator terminal generates a transmission sequence analysis signal and sends it to the transmission sequence analysis unit. After receiving the transmission sequence analysis signal, the transmission sequence analysis unit performs sequence analysis on the real-time transmitted pulse signal sequence. Through sequence analysis, it infers whether the construction feasibility of the current drilling environment is normal. Construction decisions are made based on the pulse signal sequence analysis to ensure construction safety.

[0080] The continuous execution frequency peak value of the full-amount pulse with the same trend in the real-time received pulse signal sequence is obtained, and at the same time, the deviation amount of the real-time data amount of the corresponding vertical coordinate and the mean amount of the data amount of the corresponding baseline after the continuous execution of the full-amount pulse with the same trend in the pulse signal sequence is obtained, and the continuous execution frequency peak value of the full-amount pulse with the same trend in the real-time received pulse signal sequence and the deviation amount of the real-time data amount of the corresponding vertical coordinate and the mean amount of the data amount of the corresponding baseline after the continuous execution of the full-amount pulse with the same trend in the pulse signal sequence are marked as pulse frequency information and pulse impact information, respectively, and compared with the continuous execution frequency peak value threshold and the data mean deviation threshold respectively: wherein, when the data corresponding to the vertical coordinate is a range, the mean value is taken, and when it is a value, the corresponding value is taken;

[0081] If the continuous execution frequency peak of the full-value pulses with the same trend in the real-time received pulse signal sequence exceeds the continuous execution frequency peak threshold, or if the deviation between the real-time data mean of the corresponding vertical coordinate and the data mean of the baseline after the full-value pulses with the same trend in the pulse signal sequence are continuously executed exceeds the data mean deviation threshold, it is inferred that the collected data of the pulse signal sequence has a high floating impact, and a construction re-decision signal is generated and sent to the ground administrator terminal. After receiving the construction re-decision signal, the ground administrator terminal re-decides on the drilling construction, that is, combines and analyzes multiple parameters such as the construction progress of the real-time drilling area and the operating status of the construction equipment;

[0082] If the continuous execution frequency peak of the full-amount pulses with the same trend in the real-time received pulse signal sequence does not exceed the continuous execution frequency peak threshold, and after the full-amount pulses with the same trend in the pulse signal sequence are continuously executed, the deviation between the mean of the real-time data volume of the corresponding vertical coordinate and the mean of the data volume corresponding to the baseline does not exceed the data mean deviation threshold, then it is inferred that the floating influence of the collected data of the pulse signal sequence is low, and a construction decision unchanged signal is generated and sent to the ground administrator terminal;

[0083] When the present invention is in use, the hardware performance identification module performs hardware performance analysis and identification on the downhole drilling data acquisition front end, collects front-end adaptation data and front-end adjustment data, and infers whether the hardware performance is qualified based on the data analysis; the multi-sensor verification module performs multi-type verification on the data acquisition front end, obtains collection target information and collection priority information, and infers whether the multi-sensor verification is qualified based on the information processing;

[0084] The transmission layer is equipped with a transmission data concise processing unit and a data pulse signal conversion unit; the transmission data concise processing unit processes the data collected by the data acquisition front end and converts the collected data front sequence, sequence sub-item and corresponding sequence sub-item data to construct a transmission data chain; the data pulse signal conversion unit converts the transmission data chain into pulse signals;

[0085] The processing layer is equipped with a transmission environment interference identification unit and a transmission sequence analysis unit; the transmission environment interference identification unit performs transmission environment interference identification and analysis on the real-time drilling area, collects interference delay data and interference deviation data, and infers whether the anti-interference performance of the transmission environment is normal based on data analysis; if the anti-interference performance is normal, the transmission sequence analysis unit performs sequence analysis on the real-time transmitted pulse signal sequence.

[0086] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. The downhole drilling environment data transmission system based on artificial intelligence includes an acquisition layer, a transmission layer, and a processing layer, and is characterized in that: The acquisition layer is equipped with a hardware performance identification module and a multi-sensor verification module; The hardware performance identification module analyzes and identifies the hardware performance of the downhole drilling data acquisition front end, collects front-end adaptation data and front-end adjustment data, and infers whether the hardware performance is qualified based on the data analysis; the front-end adaptation data and front-end adjustment data are the deviation between the real-time data collected and the set data volume during the data collection cycle of the data acquisition front end under different drilling environments, and the amount of missing data corresponding to the value fluctuation of the collected data during the non-collection time during the data collection phase of the data acquisition front end; The multi-sensor verification module performs multi-type verification on the data acquisition front-end, obtains collection target information and collection priority information, and infers whether the multi-sensor verification is qualified based on information processing; the collection target information and collection priority information are respectively the proportion of collected data with associated data in the data collected at the same time during the operation of the data acquisition front-end, and the ratio of the associated data collected at the same time to the non-associated data collected; The transmission layer is equipped with a transmission data concise processing unit and a data pulse signal conversion unit; The transmission data concise processing unit processes the data collected by the data collection front end, uses the collected data of the data collection front end as the data transmission log, and performs data concise processing on the data transmission log, uses the data collection front end model as the data front sequence, and after determining the data front sequence, performs floating analysis on the collected data of the current data collection front end, and constructs a transmission data chain through the collected data front sequence, sequence sub-item and data of the corresponding sequence sub-item; The data pulse signal conversion unit converts the transmission data link into pulse signals; The processing layer is provided with a transmission environment interference identification unit and a transmission sequence analysis unit; The transmission environment interference identification unit performs transmission environment interference identification and analysis on the real-time drilling area, collects interference delay data and interference deviation data, and infers whether the transmission environment's anti-interference performance is normal based on data analysis. The interference delay data and interference deviation data are respectively the delay caused by fluctuations in the transmission speed of the corresponding pulse signal sequence when environmental parameters fluctuate during the data transmission phase, and the deviation in the transmission and reception interval of the transmission data link when environmental parameters do not fluctuate during the data transmission phase. After the anti-interference performance is normal, the transmission sequence analysis unit performs sequence analysis on the real-time transmitted pulse signal sequence, and infers whether the construction feasibility of the current drilling environment is normal through sequence analysis.

2. The artificial intelligence-based downhole drilling environment data transmission system according to claim 1, characterized in that: The floating analysis process is as follows: Get the time span of floating data in the collected data of the current data collection front end, as well as the floating maximum concentration period density of floating data in the collected data: If the time span of the floating data in the collected data of the current data collection front end exceeds the time span threshold, and the floating maximum concentrated period density of the floating data in the collected data exceeds the maximum concentrated period density threshold, then the sequence sub-item of the corresponding data collection front end is set as the period; If the time span of the floating data in the collected data of the current data collection front end does not exceed the time span threshold, and the floating maximum concentrated period density of the floating data in the collected data does not exceed the maximum concentrated period density threshold, then the sequence sub-item of the corresponding data collection front end will be set to moment; and the corresponding type of numerical value collection will be performed according to the set sequence sub-item type.

3. The artificial intelligence-based downhole drilling environment data transmission system according to claim 2, characterized in that: The pulse signal conversion process is as follows: Analyze the current transmission chain, using the data collected in the previous sequence as the vertical coordinate and the sequence sub-item as the horizontal coordinate. Convert the corresponding collected data of the sequence sub-item and set the baseline according to the normal range of the collected data at the location. That is, mark the baseline in the coordinate system. If the sequence sub-item is a moment, the baseline is a point; if the sequence sub-item is a time period, the baseline is a line. During the data collection phase, if the real-time value exceeds the normal range, a full pulse is performed, that is, the baseline rises in the coordinate system, and the rising height is the set height threshold. Conversely, if the real-time value is lower than the normal range, a reverse full pulse is performed, that is, the baseline falls in the coordinate system at the set height threshold. The floating of the baseline is used as a pulse signal sequence and the pulse signal sequence and the transmission data link are sent to the ground controller terminal.

4. The artificial intelligence-based downhole drilling environment data transmission system according to claim 1, characterized in that: If the interference delay data exceeds the delay duration threshold, or the interference deviation data exceeds the time deviation threshold, an interference identification signal is generated; if the interference delay data does not exceed the delay duration threshold, and the interference deviation data does not exceed the time deviation threshold, an interference-free identification signal is generated.

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