CN117703343A - Control method and system of rotary drilling rig based on stratum information inversion - Google Patents
Control method and system of rotary drilling rig based on stratum information inversion Download PDFInfo
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- 238000005553 drilling Methods 0.000 title claims abstract description 186
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- CDBYLPFSWZWCQE-UHFFFAOYSA-L Sodium Carbonate Chemical compound [Na+].[Na+].[O-]C([O-])=O CDBYLPFSWZWCQE-UHFFFAOYSA-L 0.000 claims description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 6
- 229910001868 water Inorganic materials 0.000 claims description 6
- 239000000440 bentonite Substances 0.000 claims description 4
- 229910000278 bentonite Inorganic materials 0.000 claims description 4
- SVPXDRXYRYOSEX-UHFFFAOYSA-N bentoquatam Chemical compound O.O=[Si]=O.O=[Al]O[Al]=O SVPXDRXYRYOSEX-UHFFFAOYSA-N 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 4
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- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02D—FOUNDATIONS; EXCAVATIONS; EMBANKMENTS; UNDERGROUND OR UNDERWATER STRUCTURES
- E02D5/00—Bulkheads, piles, or other structural elements specially adapted to foundation engineering
- E02D5/22—Piles
- E02D5/34—Concrete or concrete-like piles cast in position ; Apparatus for making same
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- E—FIXED CONSTRUCTIONS
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- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
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Abstract
The invention provides a control method and a system of a rotary drilling rig based on stratum information inversion, wherein real-time feedback data of a drilling rig are obtained, a stratum type and a stratum thickness are obtained based on a stratum inversion model according to the feedback data, and the obtained stratum type and the obtained stratum thickness are matched through a stratum parameter database to obtain recommended drilling rig construction parameters; inputting the obtained soil layer type and the soil layer thickness into a trained slurry proportioning model to obtain slurry proportioning data; and controlling the work of the drilling machine based on the slurry proportioning data and the recommended construction parameters. The method solves the problem that the construction of the traditional rotary drilling bored concrete pile only depends on the prior land investigation data and the experience of on-site workers, and the condition that the traditional slurry retaining wall can only adopt the same slurry proportion in different strata, can adjust the slurry proportion and timely support the hole wall according to different strata, not only improves the hole forming quality, but also greatly improves the construction efficiency.
Description
Technical Field
The invention belongs to the technical field of pile foundation construction and equipment, and particularly relates to a control method and a system of a rotary drilling rig based on stratum information inversion.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The rotary drilling bored concrete pile is a novel pile hole construction method which has the fastest development in recent years, is the most applied pore-forming method in the market at present, and is formed by rotary drilling, soil cutting, lifting and soil unloading of a drilling bucket and repeated circulation, the maximum pore-forming diameter can reach 1.5-4m, the maximum pore-forming depth is 60-90m, the requirements of various large-scale foundation constructions can be met, and the rotary drilling bored concrete pile is widely applied to projects such as high-rise buildings, ports and bridges due to the advantages of high power, high drilling speed, convenient displacement, accurate positioning, high working efficiency, good construction quality, less dust and mud pollution and the like.
In the construction process of the rotary drilling bored concrete pile, the pore-forming quality of the rotary drilling bored concrete pile has a great correlation with stratum geology and worker operation experience. At present, accurate distribution of stratum of a field is difficult to determine, the situation of the stratum of the field is mastered by virtue of early investigation drilling, sparse drilling data of the stratum are difficult to obtain the situation of the stratum distribution of the whole field, particularly stratum interlayer and stratum mutation, when a drill bit encounters a weak interlayer, better mud skin wall protection cannot be formed, if the quality and the proportion of slurry are not adjusted in time, the problems of hole collapse, diameter shrinkage, sediment and the like are caused, equipment losses such as buried drilling are further caused, extra engineering cost is caused, and the construction period is seriously delayed.
In addition, in order to obtain stratum parameters in the drilling process, the current value of a drilling machine power head in the construction process is monitored in real time in the prior art, and the soil layer distribution is determined according to the current value. However, the magnitude of the current value is not only related to the soil layer type, but also affected by factors such as the penetration pressure, the speed, the depth and the like, and the soil layer distribution condition is not accurately determined directly by the current value.
In the construction process of the rotary drilling bored concrete pile, parameters of construction equipment, such as torque, depth of footage, footage speed, axial force and the like, are mostly dependent on site worker experience, the construction parameters are difficult to dynamically adjust according to stratum information, when stratum mutation and the like are encountered, such as sudden weak interlayer, lithology mutation and the like, if the construction parameters cannot be adjusted in time, the problems of hole collapse, diameter shrinkage and the like are caused, and more serious conditions of drill sticking, drill rod breakage, drill burying and the like can occur, so that expensive equipment is damaged.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a control method and a system of a rotary drilling rig based on stratum information inversion, which are used for obtaining a soil layer type and a soil layer thickness according to real-time feedback data, obtaining recommended drilling rig construction parameters and slurry proportion according to the soil layer type and the soil layer thickness, dynamically adjusting the drilling rig construction parameters in a pore-forming process, and improving the working safety and the working efficiency of the drilling rig.
To achieve the above object, a first aspect of the present invention provides a control method of a rotary drilling rig based on inversion of formation information, including:
acquiring real-time feedback data in the working of the rotary drilling rig, wherein the feedback data comprise drill bit torque, drill bit rotating speed, drilling pressure and drilling speed;
inputting feedback information into a trained stratum inversion model to obtain a soil layer type and a soil layer thickness;
matching the soil layer type and the soil layer thickness based on a stratum parameter database to obtain recommended drilling machine construction parameters;
inputting the obtained soil layer type and the soil layer thickness into a trained slurry proportioning model to obtain slurry proportioning data;
and controlling the pore-forming process according to the slurry proportioning data and the recommended drilling machine construction parameters.
A second aspect of the present invention provides a control system for a rotary drilling rig based on inversion of formation information, comprising:
an acquisition module configured to: acquiring real-time feedback data in the working of the rotary drilling rig, wherein the feedback data comprise drill bit torque, drill bit rotating speed, drilling pressure and drilling speed;
an inversion module configured to: inputting feedback information into a trained stratum inversion model to obtain a soil layer type and a soil layer thickness;
a parameter matching module configured to: matching the soil layer type and the soil layer thickness based on a stratum parameter database to obtain recommended drilling machine construction parameters;
a slurry proportioning module configured to: inputting the obtained soil layer type and the soil layer thickness into a trained slurry proportioning model to obtain slurry proportioning data;
a control module configured to: and controlling the operation of the rotary drilling rig according to the slurry proportioning data and the recommended drilling rig construction parameters.
A third aspect of the present invention provides a computer apparatus comprising: the system comprises a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, when the computer equipment runs, the processor and the memory are communicated through the bus, and the machine-readable instructions are executed by the processor to execute a control method of the rotary drilling rig based on stratum information inversion.
A fourth aspect of the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs a method of controlling a rotary drilling rig based on inversion of formation information.
The one or more of the above technical solutions have the following beneficial effects:
according to the invention, real-time feedback data of the drilling machine are obtained, the soil layer type and the soil layer thickness are obtained based on a stratum inversion model according to the feedback data, and the obtained soil layer type and the obtained soil layer thickness are matched through a stratum parameter database, so that recommended drilling machine construction parameters are obtained; inputting the obtained soil layer type and the soil layer thickness into a trained slurry proportioning model to obtain slurry proportioning data; and controlling the operation of the drilling machine based on the slurry proportioning data and the recommended construction parameters. The invention solves the limitation that the construction of the traditional rotary drilling bored concrete pile only depends on the prior geological survey data and the experience of on-site workers, and can greatly improve the construction quality and the construction efficiency. And the soil layer type obtained according to real-time feedback data is further used for adjusting the slurry proportion, so that the problem that different strata of the traditional slurry retaining wall can only adopt the same slurry proportion is solved, the slurry proportion can be adjusted according to different strata, the hole wall can be timely supported, the hole forming quality is improved, and the construction efficiency is also greatly improved.
Additional aspects of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention.
FIG. 1 is a flow chart of a control method of a rotary drilling and grouting device based on stratum information inversion in a first embodiment of the invention;
FIG. 2 is a schematic diagram of a rotary drilling and grouting device based on inversion of formation information according to a first embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating a workflow of a while-drilling perception system according to a first embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating the overall operation of the while-drilling sensing system according to the first embodiment of the present invention;
FIG. 5 is a diagram of a deep neural network for inversion of formation information in accordance with a first embodiment of the present invention;
FIG. 6 is a schematic diagram of a slurry self-adjusting deep neural network in accordance with an embodiment of the present invention;
in the figure, 1, a multisource sensor, 2, a signal transmitting module, 3, pile foundation design elevation, 4, a slag basin, 5, a slurry storage tank, 6, a slurry pump, 7, a ground receiving module, 8, a slurry batching storage tank, 9, a terminal computer, 10, a power head, 11, a drill rod, 12 and a signal conversion module.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention.
Embodiments of the invention and features of the embodiments may be combined with each other without conflict.
Example 1
The embodiment discloses a control method of a rotary drilling rig based on stratum information inversion, comprising the following steps:
acquiring real-time feedback data in the working of the rotary drilling rig, wherein the feedback data comprise drill bit torque, drill bit rotating speed, drilling pressure and drilling speed;
inputting feedback information into a trained stratum inversion model to obtain a soil layer type and a soil layer thickness;
matching the soil layer type and the soil layer thickness based on a stratum parameter database to obtain recommended drilling machine construction parameters;
inputting the obtained soil layer type and the soil layer thickness into a trained slurry proportioning model to obtain slurry proportioning data;
and controlling the operation of the rotary drilling rig according to the slurry proportioning data and the recommended drilling rig construction parameters.
In the embodiment, the rotary drilling rig control device based on stratum information inversion comprises a slag basin 4, a slurry storage tank 5, a slurry pump 6, a slurry batching storage tank 8, a power head 10, a drill rod 11, a while-drilling sensing system, a stratum parameter inversion system, a drilling rig parameter early warning system and a slurry self-adjusting system.
The while-drilling sensing system comprises a multi-source sensor 1, a signal transmitting module 2, a ground receiving module 7, a signal converting module 12 and a terminal computer 9.
The multisource sensor 1 comprises a torque sensor, a shaft force sensor, a soil pressure sensor and a pore water pressure sensor, and is small in size, high in measurement accuracy, long in service life and capable of wirelessly transmitting signals.
It can be appreciated that, based on the shape of the bucket, the multi-element sensor of the present embodiment adopts an integrated module, such as a multi-source sensing integrated module such as a core bit built-in chip in a PDC bit of halibut, a juggennaut, and the like.
The signal conversion module 12 has the advantages of high operation speed, strong stability and low consumption rate, and modulates and codes the received sensor signals; the signal transmitting module 2 has the advantages of stable signal, interference resistance and low energy consumption, and transmits the sensor signal transcoded by the signal converting module 12 to the ground receiving module 7; the ground receiving module 7 has the advantages of stable receiving, interference resistance and low energy consumption, and receives the signal transmitting module 2; the signal decoding processing module has the advantages of high operation speed, strong stability and low consumption rate, and extracts, filters, amplifies and decodes the coded signal output by the ground receiving module 7; the terminal computer 9 has the advantages of high operation speed, large storage space, high stability and strong anti-interference capability.
The stratum parameter inversion system comprises a stratum parameter database and a stratum inversion model, and can transmit equipment parameters such as the rotating speed, torque, propelling force, propelling speed and pore water pressure of a rotary drilling machine drill bit, and stratum parameters such as stratum type, stratum thickness and the like to the stratum parameter database and the stratum inversion model, and invert the stratum type and the stratum thickness according to related information.
The database of the stratum parameter inversion system comprises the geological survey parameters of the pile foundation construction area, a stratum parameter inversion algorithm model and stratum training data.
In the embodiment, the stratum inversion model adopts a BP neural network, takes the torque, the rotating speed, the drilling force and the drilling speed of a drill bit as an input layer of the BP neural network, and takes the soil layer type and the soil layer thickness as an output layer of the BP neural network.
The BP neural network adopts a 4-layer neural network, and comprises an input layer of 4 neurons, a hidden layer of 6 neurons and an output layer of 2 neurons.
In this embodiment, the drilling machine parameter early warning system includes a drilling machine parameter database and a drilling machine parameter early warning algorithm, and performs matching calculation on inverted formation parameter information and drilling machine equipment parameters, where the drilling machine parameter database stores drilling machine optimal construction parameters corresponding to different formation properties, such as rotation speed, torque, propulsion and other construction parameters of a drilling machine drill bit, and when matching is performed, the drilling machine construction parameters can be matched and adjusted according to different formation types and depths, interpolation matching calculation can be performed if necessary, so as to obtain drilling machine real-time optimal construction parameters, and the drilling machine optimal construction parameters are compared with current drilling machine construction parameters to obtain whether the drilling machine construction parameters match formation information or not, and whether the drilling machine can be damaged.
The drilling machine parameter database comprises drilling machine construction parameters, drilling machine limit state parameters and drilling machine equipment parameters under different geological conditions, wherein the drilling machine construction parameters refer to torque, rotating speed, propelling force and propelling speed of a drilling machine drill bit; the drilling machine limit state parameters refer to the maximum bearing torque, the rotating speed, the axial force and the propelling speed of the drill rod; the drilling machine equipment parameters under different geological conditions refer to the optimal construction parameters of the drilling machine corresponding to different stratum, including the torque, the rotating speed, the propelling force and the propelling speed of the drilling machine drill bit. The drilling machine construction parameters are real-time drilling machine construction parameters, and the optimal drilling machine construction parameters corresponding to different strata are compared and adjusted in real time to achieve the optimal construction effect, meanwhile, the drilling machine construction parameters are compared with the drilling machine limit state parameters, if the drilling machine limit state parameters are exceeded, the drilling machine is damaged, and at the moment, the system alarms and adjusts in time.
The drilling machine parameter early warning algorithm is matched with the built-in database based on the XGBoost artificial intelligent algorithm so as to know whether the drilling machine construction parameters are matched with stratum information or not, and whether the drilling machine is damaged or not.
In this embodiment, the slurry self-adjusting system includes a slurry construction parameter database and a slurry proportioning model, and can dynamically adjust the proportion of slurry and the slurry pump pressure according to inverted formation parameter information.
The slurry construction parameter database comprises a slurry self-adjusting algorithm model, slurry construction parameters with various proportions and construction parameter training data, wherein the slurry construction parameters comprise slurry specific gravity, viscosity, sand ratio and slurry pump pressure; the construction parameter training data refer to the optimal grout mixture ratio corresponding to different strata, for example, in a stratum weak interlayer, the construction accidents such as hole collapse and the like can be caused by the fact that the specific gravity and viscosity of grout are too small. In the construction process, slurry construction parameters can be adjusted in real time according to different strata so as to prevent construction accidents such as hole collapse, necking, burial and the like.
The slurry proportioning model adopts a BP neural network, takes the soil layer type and the drilling depth as input layers of the model, and takes the material proportioning (specific gravity, viscosity and sand ratio) and the slurry pump pressure as output layers.
The BP neural network adopts a 4-layer neural network, and comprises an input layer of 2 neurons, a hidden layer of two groups of 4 neurons and an output layer of 4 neurons.
In this embodiment, a control method of a rotary drilling rig based on stratum information inversion specifically includes the following steps:
and S1, installing a torque sensor, a shaft force sensor, a soil pressure sensor and a hole pressure sensor on a drill bit of the rotary drilling rig, and completing calibration of the sensors.
In step S1, the existing rotary drilling rig needs to be modified, and the while-drilling sensing system is added to the rotary drilling rig, and the while-drilling sensing system comprises a multi-source sensor 1, a signal transmitting device 2, a ground receiving antenna and a signal conversion module.
S2, burying the pile casing to a designated position, moving the drilling machine to the designated position, aligning the drill bit to the center of the hole site, and leveling the drilling machine, wherein the placement is stable and horizontal.
S3, setting construction parameters of the rotary drilling rig, such as parameters of torque, power, footage speed and the like;
and S4, the rotary drilling rig rotary drilling footage at a designated position, and torque, axial force, rotating speed and drilling speed at different depths are sensed in real time by utilizing the multi-source sensor 1.
In step S4, the rotary drilling rig drills from the ground to the designed depth, the drill bit interacts with the soil layer, and due to the differences of the properties such as the moisture content and the compaction degree of the soil layer, the torque, the axial force, the rotation speed and the drilling speed at different depths are different, and the parameters are sensed in real time by using the sensor to serve as the basis for judging the soil layer type.
And S5, the ground receiving module 7 receives the detection parameters transmitted by the signal transmitting module 2, decodes and amplifies the detection parameters by the signal converting module 12 and uploads the detection parameters to the terminal computer 9.
In step S5, the while-drilling sensing system signal is sent out from the ground through the wireless signal and is affected by the drill bit in real time drilling, and in order to ensure the stability and accuracy of signal transmission, a signal transmitting device is set to perform modulation and decoding methods on the signal, so as to enlarge the transmission distance of the signal and keep the stability of the signal. Fig. 4 is a schematic diagram of signal transmission of the wireless sensor network system.
And S6, inputting the detected torque, axial force, rotation speed and drilling speed data into a stratum inversion model based on the BP neural network.
And S7, obtaining the stratum type and the corresponding stratum thickness through a stratum inversion model.
And S8, inputting the stratum type and the corresponding stratum thickness into a slurry proportioning model based on the BP neural network, and performing matching calculation based on a built-in database to obtain recommended construction parameters including slurry specific gravity, viscosity, sand ratio and slurry pump pressure.
And S9, outputting recommended slurry proportion, slurry pump pressure and the like.
And S10, transmitting the recommended construction parameters obtained in the step S8 to slurry self-adjusting equipment through a receiving antenna, injecting related materials into a slurry storage tank by a slurry material storage tank according to the proportion, and pumping the slurry into a hole site by a slurry pump.
Specifically, matching calculation is carried out on stratum parameter information and optimal construction parameters in a built-in database, and meanwhile, the stratum parameter information and the optimal construction parameters are input into a slurry proportioning model based on a BP neural network to obtain predicted optimal construction parameters, wherein the construction parameters comprise slurry specific gravity, viscosity, sand ratio and slurry pump pressure.
In step S10, the slurry proportion and the slurry pump pressure are configured based on the recommended construction parameters in the previous step, wherein when the construction is performed on different soil layers, if the current slurry proportion meets the wall protection requirement, the slurry proportion is not adjusted, and if the construction meets the weak stratum, the slurry proportion is required to be adjusted, namely, proportioning materials such as bentonite, water, sodium carbonate and the like are added into the slurry pool according to the recommended parameters, so that the specific gravity and viscosity of the slurry are increased to meet the wall protection requirement.
And (3) timely adjusting the proportion of the slurry according to different soil layers, wherein different materials with slurry configuration are arranged in the storage tank, and timely adding related materials according to recommended construction parameters to dynamically adjust the proportion of the slurry materials.
The existing method is to perform proportioning according to a scheme provided by a construction unit, and only one type of the scheme is conservative proportioning, because the scheme of the construction unit is designed according to the most unfavorable condition, but not the left and right conditions are the most unfavorable conditions, and the method can perform proportioning adjustment according to different stratum characteristics.
When the slurry is constructed to different soil layers, if the current slurry proportion meets the wall protection requirement, the slurry proportion is adjusted, and according to recommended parameters, proportioning materials such as bentonite, water, sodium carbonate and the like are added into the slurry pool, so that the specific gravity and viscosity of the slurry are increased to meet the wall protection requirement.
Taking the yellow river sediment area in the south of the Ji as an example, drilling according to the proportion of initial slurry, when drilling into a weak stratum interlayer, the stratum is easy to collapse, slurry with high viscosity and good fluidity is needed to be injected into a soil layer so as to fill gaps in the soil layer, the supporting force of the soil layer is increased, so that the soil layer is effectively prevented from collapsing, at the moment, the specification refers to the specification of a built-in database, the specification refers to the field mud technical specification standard GB 51004-2015.6, the calculation formula refers to the field mud technical specification standard five, the specific gravity and the viscosity of the slurry need to be increased, such as the dosage of bentonite and sodium carbonate, and the corresponding bin is used for putting a corresponding amount of material into a mud pit.
S11, inputting the stratum type and the corresponding stratum thickness obtained in the step S7 into a drilling machine parameter early warning database, and carrying out drilling machine construction parameter matching calculation according to stratum parameters to obtain recommended drilling machine construction parameters;
it can be understood that the construction parameters are divided into two parts, and the first part is the construction parameters of the drilling machine, including the rotating speed, torque, propelling force and propelling speed of the drill bit of the drilling machine; the second part is the construction parameters of the slurry protection wall, including slurry proportion (specific gravity, viscosity and sand ratio of slurry), and the slurry pump pressure.
Step S12, judging whether the current construction parameters exceed the stratum equipment threshold value or not, if so, carrying out step S13, and if not, not adjusting;
step S13, the drilling machine early warning system gives an alarm, gives matched construction parameters, and returns to the step S3;
in steps S11-S13, the built-in database of the drilling machine early warning system accumulates construction parameters of different geological conditions of different engineering examples, and the database supports updating and optimizing, so that timeliness and applicability of built-in data are guaranteed. And inputting the soil layer type identified in the previous step, and matching the drilling machine parameter threshold value and recommended construction parameters in a database by the drilling machine early warning self-adjusting system based on the XGBoost artificial intelligent algorithm so as to judge whether early warning needs to be sent out or not.
S14, carrying out rotary slag tapping on a rotary drilling rig;
in step S14, when the rotary drilling rig starts to perform rotary deslagging, the while-drilling sensing system dynamically senses and temporarily shuts down the system, so as to reduce the interference of useless data.
And step S15, judging whether to spin the scale to the designed elevation by the terminal computer 9, if not, returning to the step S4, and if so, executing the step S17.
And S16, repeating the slag discharging process of the rotary digging ruler when the rotary digging ruler is not at the designed elevation.
In steps S15 and S16, the terminal computer determines whether the rotary drilling is performed to the designed elevation, and determines whether the rotary drilling is repeated.
And S17, stopping construction, and performing equipment cleaning and equipment inspection, in particular checking whether the multi-source sensor 1 is good.
And S18, moving the drilling machine to the next construction position.
In steps S17 and S18, the construction is stopped, and the equipment is cleaned and inspected.
And step S19, when the system operates, the database performs data interaction storage with the three systems in real time.
In step S19, the data of the three systems are interactively stored with the database in real time, and the iteration is continuously updated.
As shown in fig. 5 to 6, since the conventional 3-layer BP neural network has a large disadvantage in recognition accuracy compared with the deep neural network, the present embodiment adopts a 4-layer neural network including an input layer, a hidden layer and an output layer based on the past engineering experience.
In the embodiment, a huge engineering soil layer property database is used as a training sample, wherein the engineering soil layer property database contains soil layer parameters of the existing engineering, including soil layer type, thickness, corresponding equipment construction parameters and geotechnical engineering parameters of the corresponding soil layer, such as cohesive force, water content, bearing capacity and the like; the construction parameters of the drilling machine corresponding to the soil layer, the rotating speed, the torque, the propelling force and the drilling speed of the drilling machine bit; slurry proportion (slurry viscosity, specific gravity and sand ratio) and slurry pump pressure of the corresponding soil layer. And in the stratum parameter inversion model, the acquired construction parameters of drilling equipment, the rotation speed, torque, propulsive force and drilling speed of the drill bit are used as input layers, and the corresponding soil layer type and thickness are used as output layers to train the stratum inversion model. In the slurry proportioning model, the type of the soil layer and the thickness of the soil layer are used as input layers, and the slurry proportioning model is trained by taking the corresponding slurry proportioning (slurry viscosity, specific gravity and sand rate) and slurry pump pressure as output layers. The BP neural network deep learning model continuously optimizes various parameters of the network model through learning training samples, and improves the efficiency and accuracy of identifying soil layer types at different depths. The identified soil layer type is a basic soil layer type, such as sand, silt, clay, etc., and does not relate to a more specific soil layer type.
In the steps S8 and S9, the built-in database of the slurry self-adjusting system accumulates data such as soil layer properties, construction parameters and the like of the existing engineering examples, and the database supports updating and optimizing, so that timeliness and applicability of the built-in data are guaranteed. And (3) inputting the soil layer type identified in the previous step, and simultaneously, performing calculation through a deep neural network while the slurry self-adjusting system is matched with construction data in a database based on an XGBoost artificial intelligent algorithm to comprehensively obtain the recommended slurry proportion and slurry pump pressure.
In the embodiment, the sensor layout and signal transmission of the while-drilling sensing system refer to the while-drilling measuring system for oil and gas exploration, so that the underground information acquisition precision and the stability of signal transmission are improved, the limitation of the conventional sensor layout on a drill bit is overcome, and meanwhile, the stability of related information transmission is also greatly improved.
In the embodiment, based on the stratum parameter inversion system, stratum information can be inverted in real time, the limitation that the traditional rotary drilling bored concrete pile is only dependent on early-stage geological survey data and site worker experience in construction is solved, and construction quality and construction efficiency can be greatly improved.
In the embodiment, the drilling machine parameter early warning system can judge whether the current drilling machine construction parameters cause equipment damage according to the inverted stratum information, and perform early warning and give recommended parameters, so that the possibility of equipment damage is greatly reduced, and meanwhile, the limitation that the traditional construction parameters only depend on site workers is overcome; the slurry self-adjusting system can timely adjust slurry proportion and slurry pump pressure according to stratum information, solves the problem that the traditional slurry retaining wall can only adopt the same slurry proportion in different strata, can adjust the slurry proportion according to different strata and timely support the hole wall, improves the hole forming quality and greatly improves the construction efficiency.
Example two
An object of the present embodiment is to provide a control system of a rotary drilling rig based on inversion of formation information, including:
an acquisition module configured to: acquiring real-time feedback data in the working of the rotary drilling rig, wherein the feedback data comprise drill bit torque, drill bit propelling force, drilling speed and drilling speed;
an inversion module configured to: inputting feedback information into a trained stratum inversion model to obtain a soil layer type and a soil layer thickness;
a parameter matching module configured to: matching the soil layer type and the soil layer thickness based on a stratum parameter database to obtain recommended drilling machine construction parameters;
a slurry proportioning module configured to: inputting the obtained soil layer type and the soil layer thickness into a trained slurry proportioning model to obtain slurry proportioning data;
a control module configured to: and controlling the operation of the rotary drilling rig according to the slurry proportioning data and the recommended drilling rig construction parameters.
Example III
It is an object of the present embodiment to provide a computing device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, which processor implements the steps of the method described above when executing the program.
Example IV
An object of the present embodiment is to provide a computer-readable storage medium.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the above method.
The steps involved in the devices of the second, third and fourth embodiments correspond to those of the first embodiment of the method, and the detailed description of the embodiments can be found in the related description section of the first embodiment. The term "computer-readable storage medium" should be taken to include a single medium or multiple media including one or more sets of instructions; it should also be understood to include any medium capable of storing, encoding or carrying a set of instructions for execution by a processor and that cause the processor to perform any one of the methods of the present invention.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented by general-purpose computer means, alternatively they may be implemented by program code executable by computing means, whereby they may be stored in storage means for execution by computing means, or they may be made into individual integrated circuit modules separately, or a plurality of modules or steps in them may be made into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
While the foregoing description of the embodiments of the present invention has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the invention, but rather, it is intended to cover all modifications or variations within the scope of the invention as defined by the claims of the present invention.
Claims (10)
1. The control method of the rotary drilling rig based on stratum information inversion is characterized by comprising the following steps of:
acquiring real-time feedback data in the working of the rotary drilling rig, wherein the feedback data comprise drill bit torque, drill bit rotating speed, drilling pressure and drilling speed;
inputting feedback information into a trained stratum inversion model to obtain a soil layer type and a soil layer thickness;
matching the soil layer type and the soil layer thickness based on a stratum parameter database to obtain recommended drilling machine construction parameters;
inputting the obtained soil layer type and the soil layer thickness into a trained slurry proportioning model to obtain slurry proportioning data;
and controlling the pore-forming process according to the slurry proportioning data and the recommended drilling machine construction parameters.
2. The method for controlling a rotary drilling rig based on stratum information inversion according to claim 1, further comprising judging whether the construction parameters of the current rotary drilling rig exceed a device parameter threshold, and if so, performing early warning.
3. The control method of the rotary drilling rig based on stratum information inversion according to claim 1, wherein the stratum inversion model adopts a BP neural network, different drill bit torque, drill bit rotating speed, drilling pressure and drilling speed are used as input data, stratum type and soil layer thickness are used as output, and the stratum inversion model is trained.
4. The control method of the rotary drilling rig based on stratum information inversion according to claim 1, wherein the slurry proportioning model is trained by taking a BP neural network, a soil layer type and a soil layer thickness as inputs and corresponding slurry proportioning and slurry pump pressure as outputs.
5. The control method of the rotary drilling rig based on stratum information inversion according to claim 1, further comprising a rig parameter early warning system, wherein the rig parameter early warning system comprises a rig parameter database and a rig parameter early warning library; the drilling machine parameter database is stored with drilling machine optimal construction parameters corresponding to different stratum properties, the drilling machine optimal construction parameters are matched in the drilling machine parameter database according to real-time drilling machine construction parameters of the rotary drilling machine, and the drilling machine construction parameters are adjusted according to the matching result; and the drilling machine parameter early warning library stores drilling machine construction parameters, drilling machine limit state parameters and drilling machine equipment parameters under different geological conditions, compares the real-time drilling machine construction parameters of the rotary drilling machine with the drilling machine limit state parameters, and alarms if the real-time drilling machine construction parameters exceed the drilling machine limit state parameters.
6. The control method of the rotary drilling rig based on stratum information inversion according to claim 1, wherein construction parameters of different engineering examples and different geological conditions are built in the stratum parameter database.
7. The control method of a rotary drilling rig based on stratum information inversion of claim 1, wherein the slurry proportioning data comprises slurry specific gravity, viscosity, sand ratio and slurry pump pressure; when constructing to different soil layers, if the current slurry proportion meets the wall protection requirement, the slurry proportion is not adjusted, and if the slurry proportion meets the weak stratum, bentonite, water and soda ash proportion materials are added into the slurry pool according to recommended parameters so as to meet the wall protection requirement.
8. A control system for a rotary drilling rig based on inversion of formation information, comprising:
an acquisition module configured to: acquiring real-time feedback data in the working of the rotary drilling rig, wherein the feedback data comprise drill bit torque, drill bit rotating speed, drilling pressure and drilling speed;
an inversion module configured to: inputting feedback information into a trained stratum inversion model to obtain a soil layer type and a soil layer thickness;
a parameter matching module configured to: matching the soil layer type and the soil layer thickness based on a stratum parameter database to obtain recommended drilling machine construction parameters;
a slurry proportioning module configured to: inputting the obtained soil layer type and the soil layer thickness into a trained slurry proportioning model to obtain slurry proportioning data;
a control module configured to: and controlling the pore-forming process according to the slurry proportioning data and the recommended drilling machine construction parameters.
9. A computer device, comprising: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory in communication via the bus when the computer device is running, the machine readable instructions when executed by the processor performing a method of controlling a rotary drilling rig based on inversion of formation information according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, performs a control method of a rotary drilling rig based on inversion of formation information according to any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118462050A (en) * | 2024-07-11 | 2024-08-09 | 克拉玛依市远山石油科技有限公司 | Vehicle-mounted reverse circulation drilling machine and method suitable for sampling loose stratum in shallow coverage area |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118462050A (en) * | 2024-07-11 | 2024-08-09 | 克拉玛依市远山石油科技有限公司 | Vehicle-mounted reverse circulation drilling machine and method suitable for sampling loose stratum in shallow coverage area |
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