Intelligent proportioning and dynamic purification circulating system of seawater-based environment-friendly mud

Abstract

The application discloses an intelligent proportioning and dynamic purification circulating system of seawater-based environment-friendly mud, and particularly relates to the technical field of mud proportioning; by collecting seawater salinity, drilling displacement, borehole diameter, mud circulating pressure and other parameters in real time, a dynamic monitoring data package is constructed, and a preset algorithm is used to realize accurate dynamic adjustment of additive proportioning; after the monitoring data package is comprehensively processed according to the preset algorithm, the additive proportioning in the process of preparing seawater-based environment-friendly mud and the purification process of waste mud are dynamically adjusted; wherein the proportioning adjustment of the salt-resistant agent is determined by analyzing seawater salinity through the preset algorithm; the proportioning adjustment of the tackifier is determined by analyzing drilling displacement, borehole diameter and mud circulating pressure through the preset algorithm, and the problems that the prior art relies on manual setting of fixed proportioning according to past experience and cannot adapt to the dynamic changes of seawater quality and drilling conditions in real time, which often leads to substandard mud performance, are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mud proportioning, and more particularly to an intelligent proportioning and dynamic purification circulation system for seawater-based environmentally-friendly mud. BACKGROUND

[0002] In marine engineering operations such as offshore oil and gas drilling and offshore geological exploration, mud, as the "blood" of drilling operations, plays a key role in cooling the drill bit, carrying cuttings, balancing formation pressure, and protecting the wellbore. To solve the above problems, seawater-based environmentally-friendly mud has gradually become a research hotspot.

[0003] However, the seawater-based environmentally-friendly mud has the following deficiencies in the preparation process:

[0004] The performance of seawater-based mud is significantly affected by the dynamic fluctuations of seawater quality, and the salt concentration of seawater in different sea areas fluctuates dramatically. High-salt environments can weaken the colloidal stability of core components such as bentonite, causing a sudden drop in mud viscosity and failure of suspension. At the same time, drilling parameters such as drilling displacement, borehole diameter, and mud circulation pressure also affect the proportioning of mud. However, existing technologies rely on manual setting of fixed proportions based on past experience, and cannot adapt to the dynamic changes in seawater quality and drilling conditions in real time, often resulting in substandard mud performance, which can reduce cuttings carrying efficiency and increase drill tool wear, or even cause wellbore collapse, lost circulation, and other safety accidents, seriously affecting the continuity and safety of drilling operations.

[0005] Therefore, an intelligent proportioning and dynamic purification circulation system for seawater-based environmentally-friendly mud is proposed. SUMMARY

[0006] To overcome the above-mentioned defects of the prior art, embodiments of the present application provide an intelligent proportioning and dynamic purification circulation system for seawater-based environmentally-friendly mud.

[0007] To achieve the above-mentioned purpose, the present application provides the following technical solutions:

[0008] The intelligent proportioning and dynamic purification circulation system for seawater-based environmentally-friendly mud comprises:

[0009] The data monitoring module: real-time acquisition of seawater salinity and drilling condition parameters during the preparation of seawater-based environmentally-friendly mud and the sand content parameters of waste mud during the purification process, thereby constructing a monitoring data package; the drilling condition parameters include drilling displacement, borehole diameter, and mud circulation pressure;

[0010] The intelligent control module: after comprehensive processing of the monitoring data package according to a preset algorithm, dynamically adjusting the additive proportioning during the preparation of seawater-based environmentally-friendly mud and the purification process of waste mud.

[0011] Specifically, the specific steps of dynamically adjusting the additive ratio in the process of preparing the seawater-based environmentally friendly mud are as follows:

[0012] S1: the additives include a tackifier and a salt-resistant agent, wherein the ratio of the salt-resistant agent is determined by preset algorithm analysis of seawater salinity; and the ratio of the tackifier is determined by preset algorithm analysis of drilling displacement, wellbore diameter and mud circulating pressure.

[0013] Specifically, the process of determining the ratio of the salt-resistant agent in step S1 is as follows:

[0014] The mean value of the real-time salinity of seawater in the set window is calculated as the salinity evaluation value; each group of salinity intervals corresponding to the seawater salinity is preset, and each group of salinity intervals corresponds to a required effective concentration of the salt-resistant agent; the salinity evaluation value is matched with the corresponding salinity interval to determine the required effective concentration of the salt-resistant agent, which is denoted as the corrected concentration.

[0015] The recorded seawater salinity when mixing and stirring according to the preset proportion is read as the initial salinity; the required salt-resistant agent determined by the initial salinity is converted into the required effective concentration of the salt-resistant agent by matching with the corresponding salinity interval, which is denoted as the initial concentration.

[0016] Based on the comparison result of the corrected concentration and the initial concentration, the salt-resistant agent supplement or reduction amount is determined, that is, by the formula ; wherein M represents the total mass of the current mud, respectively represent the salt-resistant agent supplement and the salt-resistant agent reduction; respectively represent the corrected concentration and the initial concentration.

[0017] Specifically, the process of determining the ratio of the tackifier in step S1 is as follows:

[0018] The mean values of the drilling displacement and the mud circulating pressure in the set window are calculated as the displacement evaluation value and the pressure evaluation value, respectively.

[0019] The displacement evaluation value and the wellbore diameter are marked as a1 and a2, respectively, and the required target viscosity is calculated by the formula ; wherein is a preset correction coefficient; the pressure evaluation value is marked as ; the current real-time viscosity and the preset pressure threshold value are read as and ; if > , < , then based on the mapping relationship between the tackifier addition amount X and the viscosity , the following formula is used: ; wherein The base viscosity provided for bentonite; by The difference is calculated to supplement the amount of thickening agent.

[0020] Specifically, if > , > , the ratio is calculated with as the numerator and as the denominator, and the integer is subtracted to obtain the pressure ratio;

[0021] Each group of ratio intervals corresponding to the preset pressure ratio is set, and each group of ratio intervals corresponds to an optimization coefficient of thickening agent; the calculated pressure ratio is matched with each group of ratio intervals to determine the optimization coefficient of thickening agent P; the difference is calculated to supplement the amount of thickening agent.

[0022] Specifically, after determining the ratio of the salt-resistant agent and the thickening agent in the S1 step, the following is performed:

[0023] Each group of laboratory cases is extracted from the pre-constructed experimental database, and each group of laboratory cases includes case number, total mass of mud, case performance data, and additive ratio; wherein the case performance data includes seawater salinity, drilling displacement, wellbore diameter, and mud circulating pressure;

[0024] Based on the current total mass of mud M as the reference value, a preset fluctuation reference mass n is constructed to construct the mass range (M-n, M+n); the total mass of mud of each group of laboratory cases is matched with the constructed mass range, and the laboratory cases that match successfully are retained as the base case;

[0025] The similarity of the base case is analyzed, and the difference degree analysis case is selected;

[0026] The total amount of the salt-resistant agent and the total amount of the thickening agent finally determined in the difference degree analysis case are extracted, denoted as e1 and e2, and the total amount of the salt-resistant agent and the total amount of the thickening agent determined after the current trigger adjustment signaling are denoted as e3 and e4, and the salt-resistant agent difference rate and the thickening agent difference rate are calculated by and

[0027] The preset salt-resistant agent difference rate and the thickening agent difference rate respectively correspond to the allowed difference rate, and if there is a certain group of difference rates between the salt-resistant agent difference rate and the thickening agent difference rate higher than the corresponding preset allowed difference rate, the difference signaling is triggered to the technician.

[0028] Specifically, for the current salinity evaluation value, displacement evaluation value, wellbore diameter, and pressure evaluation value, normalization processing is respectively performed, and denoted as G1, G2, G3, and G4; ​​​

[0029] For each group of base similar case performance data in seawater salinity, drilling displacement, borehole diameter and mud circulating pressure, after normalization, R1, R2, R3 and R4 are recorded respectively;

[0030] The formula is used to calculate the similarity of each group of base similar cases hi is the weight coefficient corresponding to seawater salinity, drilling displacement, borehole diameter and mud circulating pressure;

[0031] The preset similarity threshold corresponding to the case similarity is used to filter out the base similar cases less than the similarity threshold, and the base similar case with smaller case similarity is selected from the filtering result as the difference analysis case.

[0032] Specifically, if the salt-resistant agent difference rate and the thickening agent difference rate are both lower than the corresponding preset allowable difference rate, the additive amount ratio in the preparation of seawater-based environmentally friendly mud is adjusted based on the determined salt-resistant agent supplement amount or salt-resistant agent reduction amount, thickening agent supplement amount.

[0033] Specifically, the purification process of the waste mud is dynamically adjusted, specifically:

[0034] The sand content of the waste mud in the current set time zone is extracted, the sand content at each time point in the current set time zone is averaged to obtain the sand content average, and three groups of range intervals corresponding to the sand content average are pre-constructed, including a light sand content interval, a moderate sand content interval and a severe sand content interval.

[0035] The sand content average of the current set time zone is matched with the corresponding range interval, and the light sand content interval, the moderate sand content interval and the severe sand content interval are set to correspond to one sand purification adjustment strategy respectively, and after adjusting the corresponding equipment based on the matched sand purification adjustment strategy, the purification application strategy of the next set time zone is determined.

[0036] The technical effects and advantages of the present application are:

[0037] ​​​(1) By real-time acquisition of seawater salinity, drilling displacement, borehole diameter, mud circulating pressure and other parameters, a dynamic monitoring data package is constructed, and a preset algorithm is used to realize precise dynamic adjustment of the additive ratio, and after comprehensive processing of the monitoring data package according to the preset algorithm, the additive ratio in the preparation of seawater-based environmentally friendly mud and the purification process of waste mud are dynamically adjusted; wherein the adjustment of the ratio of the salt-resistant agent is determined by the preset algorithm for seawater salinity analysis; the adjustment of the ratio of the tackifier is determined by the preset algorithm for drilling displacement, borehole diameter and mud circulating pressure analysis, solving the problem that the existing technology relies on manual setting of fixed ratio according to past experience, which cannot adapt to the dynamic changes of seawater quality and drilling conditions in real time, often leading to substandard mud performance;

[0038] (2) By constructing an experimental database, laboratory cases containing mud total mass, seawater salinity, drilling condition parameters and corresponding additive ratio are stored; after ratio adjustment, similar cases are selected and normalized to calculate the similarity, and the process of extracting difference analysis cases to calculate the difference rate is used to compare the field ratio with the laboratory data; if the difference rate of the salt-resistant agent or the tackifier exceeds the allowable threshold, the difference signaling notifies the technician to review, ensuring that the ratio is scientific and compliant, and avoiding performance risks caused by blind adjustment;

[0039] (3) By determining the sand content in the current set time zone, three range intervals corresponding to the sand content are pre-constructed, the sand content in the current set time zone is matched with the corresponding range interval, the sand purification adjustment strategy is determined, and after adjusting the corresponding equipment based on the matching determined sand purification adjustment strategy, it is used as the purification application strategy of the next set time zone, realizing the dynamic adjustment of the purification process. BRIEF DESCRIPTION OF DRAWINGS

[0040] Figure 1 The intelligent ratio and dynamic purification circulation system of seawater-based environmentally friendly mud. DETAILED DESCRIPTION

[0041] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor belong to the scope of protection of the present application.

[0042] EMBODIMENT

[0043] As shown in Figure 1 , the intelligent ratio and dynamic purification circulation system of seawater-based environmentally friendly mud includes an intelligent ratio module, a mud circulation module, a dynamic purification module, a data monitoring module and an intelligent control module.

[0044] The intelligent proportioning module mixes and stirs the pretreated seawater and the mud additive according to a preset proportion to prepare the seawater-based environmentally-friendly mud;

[0045] The components used in the proportioning process include an additive storage tank, a metering pump, a mixing and stirring tank, and a heating and insulation device. The additive storage tank is used to store bentonite, a filtration-reducing agent, a viscosity-increasing agent, a salt-resistant agent, and an environmentally-friendly lubricant. The metering pump is used to accurately control the delivery amount of the pretreated seawater and each additive. The mixing and stirring tank is provided with a stirrer and a temperature sensor. The heating and insulation device is used to maintain the temperature in the mixing and stirring tank stable.

[0046] It is to be further stated that the specific process of pretreatment is as follows:

[0047] The seawater is filtered, impurities are removed, and the pH value is adjusted by using the sequentially connected coarse filter device, fine filter device, algae removal device, and pH adjustment device to remove solid impurities, plankton, and part of harmful ions in the seawater. The seawater first enters the coarse filter device to remove solid impurities with a particle size greater than 100-200 μm. Then, the seawater enters the fine filter device to remove fine impurities with a particle size of 10-50 μm. Next, the seawater enters the algae removal device to remove plankton and algae in the seawater by using ultraviolet sterilization and algae removal technology. Finally, the seawater enters the pH adjustment device to adjust the pH value of the seawater to 7.5-8.5 by adding sodium hydroxide or hydrochloric acid solution to obtain pretreated seawater.

[0048] The mud circulation module delivers the prepared seawater-based environmentally-friendly mud to the drilling operation site and recycles the waste mud after drilling operation.

[0049] The components used in the delivery and recycling process include a mud delivery pump, a mud pipeline, a drilling fluid pool, and a backflow pipeline. The mud pipeline is provided with a flow control valve. The drilling fluid pool is used to temporarily store part of the seawater-based environmentally-friendly mud.

[0050] The dynamic purification module performs graded purification treatment on the recycled waste mud to remove cuttings, sand particles, colloidal particles, and part of harmful pollutants in the waste mud to obtain renewable mud.

[0051] The components used in the purification process include a vibrating screen, a sand remover, a mud remover, a centrifuge, and a membrane separation device connected in sequence. The vibrating screen is used to remove large-diameter cuttings in the waste mud. The sand remover is used to remove sand particles with a particle size of 2-74 μm. The mud remover is used to remove argillaceous particles with a particle size of 1-2 μm. The centrifuge is used to separate colloidal particles and part of free water in the waste mud. The membrane separation device uses salt-resistant ultrafiltration membranes to remove small particles, colloids, and part of organic pollutants in the mud.

[0052] Data monitoring module: real-time acquisition of seawater salinity and drilling operation parameters during the preparation of seawater-based environmentally friendly mud, and the sand content parameters of the waste mud during the purification process, so as to build a monitoring data package; the drilling operation parameters include drilling displacement, wellbore diameter and mud circulating pressure;

[0053] Intelligent control module: after comprehensive processing of the monitoring data package according to the preset algorithm, the additive ratio during the preparation of seawater-based environmentally friendly mud and the purification process of waste mud are dynamically adjusted;

[0054] The specific steps of dynamically adjusting the additive ratio during the preparation of seawater-based environmentally friendly mud are as follows:

[0055] S1: the additives include tackifiers and salt-resistant agents, wherein the ratio adjustment of the salt-resistant agents is determined by analyzing the seawater salinity through the preset algorithm; the ratio adjustment of the tackifiers is determined by analyzing the drilling displacement, wellbore diameter and mud circulating pressure through the preset algorithm;

[0056] S1-1: mixing and stirring according to the preset ratio, triggering adjustment signaling after a certain time, monitoring the real-time salinity of seawater in the window after the triggering time point, and taking the average value of the real-time salinity of seawater in the window as the salinity evaluation value;

[0057] Each group of salinity intervals corresponding to the seawater salinity is preset, and each group of salinity intervals corresponds to a required salt-resistant agent effective concentration; the salinity evaluation value is matched with the corresponding salinity interval to determine the required salt-resistant agent effective concentration, which is denoted as the correction concentration; the higher the salinity evaluation value, the higher the required salt-resistant agent concentration determined by matching;

[0058] The recorded seawater salinity during mixing and stirring according to the preset ratio is taken as the initial salinity, and the required salt-resistant agent determined by the initial salinity is converted into the required salt-resistant agent effective concentration by matching with the corresponding salinity interval, which is denoted as the initial concentration;

[0059] Based on the comparison result of the correction concentration and the initial concentration, the salt-resistant agent supplement or reduction amount is determined, that is, through the formula ; wherein M represents the total mass of the current mud, respectively represent the salt-resistant agent supplement and the salt-resistant agent reduction; respectively represent the correction concentration and the initial concentration;

[0060] The fluctuation of seawater salinity (such as tides and different sea areas) will directly weaken the colloidal stability of bentonite, resulting in the decrease of mud viscosity and suspension, so the concentration of salt-resistant agent (such as polyhydric alcohol) needs to be adjusted to inhibit the effect of salt ions, and the amount of bentonite is adjusted to make up for the loss of viscosity;

[0061] For example, the preset mixing ratio is: seawater 980 kg + basic mud 20 kg, and the current total mass of mud M = 1000 kg;

[0062] The preset stirring duration is 30 minutes, and the salinity monitoring signaling is triggered after stirring is completed.

[0063] The salinity interval and the corresponding concentration of the salt-resistant agent (pre-set) are as follows:

[0064] Interval 1: 0-20 corresponds to an effective concentration of 1.0;

[0065] Interval 2: 21-30 corresponds to an effective concentration of 1.5;

[0066] Interval 3: 31-40 corresponds to an effective concentration of 2.0;

[0067] Interval 4: 41 or more corresponds to an effective concentration of 2.5;

[0068] Before mixing according to the preset ratio of “seawater 980 kg + basic mud 20 kg”, the salinity of seawater at this time is read as the initial salinity.

[0069] Suppose the initial salinity detection value is 25 ‰, and the above corresponding table is matched to the “21-30 ‰” interval. The effective concentration of the salt-resistant agent corresponding to this interval is 1.5%, so the initial concentration is 1.5%.

[0070] According to the preset ratio of mixing seawater and basic mud, after 30 minutes of continuous stirring, the adjustment signaling is triggered, and the salinity is monitored.

[0071] The monitoring window is set to 0-5 minutes (a total of 5 minutes) after stirring is completed.

[0072] The real-time salinity records are 28 ‰, 29 ‰, 27 ‰, 29 ‰, and 30 ‰ within 5 minutes.

[0073] The salinity evaluation value is calculated by taking the average of the five real-time salinities, that is, (28+29+27+29+30) ÷ 5 = 28.6 ‰.

[0074] The calculated salinity evaluation value 28.6 ‰ is matched with the preset salinity interval.

[0075] 28.6 ‰ belongs to the “21-30 ‰” interval, and the effective concentration of the salt-resistant agent corresponding to the interval is 1.5%, so the revised concentration is 1.5%.

[0076] According to the above formula, the adjustment amount is determined in combination with the difference between the initial concentration and the revised concentration.

[0077] S1-2: mixing and stirring according to the preset proportion, triggering the adjustment signaling after a set time, monitoring the drilling discharge and mud circulation pressure in the set window after the triggering time point, and calculating the average of the drilling discharge and mud circulation pressure in the set window as the discharge evaluation value and the pressure evaluation value respectively;

[0078] The discharge evaluation value and the borehole diameter are marked as a1 and a2 respectively, and the formula is used to calculate the required target viscosity ; wherein is a preset correction coefficient, taking a value of 4.5-8.5, determined according to the drilling scene; the larger the cuttings particle size and the higher the density, the stronger the "tendency" of the cuttings to settle in the mud, and the "suspension and carrying rock resistance" of the mud needs to be enhanced by increasing the mud viscosity (i.e. increasing the correction coefficient) to avoid cuttings from settling and accumulating in the borehole; for example, in the clay and fine silt scene, the cuttings particle size is small, and the correction coefficient is 4.5; in the solution cavity filling layer drilling and thick gravel layer, the cuttings particle size is large, and the correction coefficient is 8.5;

[0079] The pressure evaluation value is marked as , the current real-time viscosity and the preset pressure threshold are read, and are marked as and ; if > , < , based on the mapping relationship between the amount of viscosity enhancer X and the viscosity : ; 10 is a preset coefficient, which is set according to the type of viscosity enhancer, for example, carboxymethyl cellulose, which takes a value of 10; wherein is the basic viscosity provided by bentonite; the amount of viscosity enhancer supplement is calculated by the difference

[0080] If > , > , the pressure ratio is calculated by taking as the numerator and as the denominator, and subtracting the integer one;

[0081] The preset pressure ratio corresponds to each group of ratio intervals, and each group of ratio intervals corresponds to an optimization coefficient of the viscosity enhancer; the range is set to 0.727-0.936, and the higher the pressure ratio value, the higher the possibility of matching 0.727; the calculated pressure ratio is matched with each group of ratio intervals to determine the optimization coefficient P of the viscosity enhancer; the amount of viscosity enhancer supplement is calculated by the difference .​​​

[0082] Required target viscosity Greater than real-time viscosity If the pressure evaluation value is greater than the pressure threshold value, it indicates that the pressure is out of limit, and the thickening agent input needs to be reduced;

[0083] For example, the preset mixing ratio is: seawater 900 kg + bentonite 50 kg + basic additives 50 kg, and the current total mass of the mud has no additional requirements.

[0084] The preset stirring time is 40 minutes, and the adjustment signal is triggered after stirring is completed.

[0085] Key preset parameters:

[0086] Borehole diameter = 20 cm (determined before drilling)

[0087] Correction coefficient = 8.5 (cavity filling layer rock particle size is large, and the upper limit is taken according to the rule)

[0088] Preset pressure threshold = 3.5 MPa

[0089] Current real-time viscosity = 30 mPa·s

[0090] Basic viscosity provided by bentonite = 20 mPa·s

[0091] Thickening agent coefficient (carboxymethyl cellulose) = 10

[0092] Pressure ratio and thickening agent optimization coefficient corresponding table (pre-set):

[0093] If the pressure ratio is 0.1-0.2, the thickening agent optimization coefficient is 0.936;

[0094] If the pressure ratio is 0.2-0.3, the thickening agent optimization coefficient is 0.850;

[0095] If the pressure ratio is above 0.3, the thickening agent optimization coefficient is 0.726;

[0096] After stirring for 40 minutes, the signal is triggered, and the drilling displacement and mud circulation pressure in the "set window (0-6 minutes)" are monitored, and the required target viscosity is calculated by using the formula after mean value calculation;

[0097] The required target viscosity is calculated based on the comparison result of the pressure evaluation value and the required target viscosity.

[0098] S2: Extract each group of laboratory cases from the pre-constructed experimental database, each group of laboratory cases including case number, total mud mass, case performance data, and additive proportion; wherein the case performance data includes seawater salinity, drilling displacement, wellbore diameter, and mud circulating pressure;

[0099] Based on the current total mud mass M as the reference value, a preset fluctuation reference mass n is constructed, and a mass range (M-n, M+n) is constructed; the total mud mass of each group of laboratory cases is matched with the constructed mass range, and the laboratory cases that match successfully are retained as base cases;

[0100] With "current total mud mass (M)" as the reference to construct the mass range (M-n, M+n), laboratory cases of the same order of magnitude are preferentially selected as "base cases" to eliminate the reference deviation of additive amount caused by the difference in total mud mass (such as the additive proportion of 50t mud and 100t mud needs to be differentiated and adapted);

[0101] For the current salinity evaluation value, displacement evaluation value, wellbore diameter, and pressure evaluation value, normalization processing is performed respectively, and is recorded as G1, G2, G3, and G4;

[0102] For the seawater salinity, drilling displacement, wellbore diameter, and mud circulating pressure in the performance data of each group of base cases, they are marked as R1, R2, R3, and R4, respectively;

[0103] The formula is used to calculate the case similarity of each group of base cases ; hi is the weight coefficient corresponding to seawater salinity, drilling displacement, wellbore diameter, and mud circulating pressure;

[0104] A preset case similarity corresponding to the similarity threshold value, the base cases less than the similarity threshold value are selected, and the base cases with smaller case similarity are selected from the selection results as the difference degree analysis cases;

[0105] The total amount of salt-resistant agent and the total amount of tackifier finally determined in the difference degree analysis cases are extracted, recorded as e1 and e2, and the total amount of salt-resistant agent and the total amount of tackifier determined after the current trigger adjustment signaling is recorded as e3 and e4, and the salt-resistant agent difference rate and the tackifier difference rate are calculated by and

[0106] ​The preset salt-resistant agent difference rate and the preset tackifier difference rate correspond to an allowable difference rate. If there is a certain group of difference rates between the salt-resistant agent difference rate and the tackifier difference rate that is higher than the corresponding preset allowable difference rate, a difference signaling is triggered to the technician. If the salt-resistant agent difference rate and the tackifier difference rate are both lower than the corresponding preset allowable difference rate, step S3 is performed.

[0107] It is further explained that, based on the difference rate calculation of the difference between the salt-resistant agent / tackifier addition amount (e1, e2) and the field adjustment amount (e3, e4), the phenomenon of the additive with a larger difference degree is determined in time, and the technician is notified to intervene, so as to avoid problems such as well wall collapse and rock debris settlement caused by improper proportioning;

[0108] S3: Based on the determined salt-resistant agent supplement amount or salt-resistant agent reduction amount and tackifier supplement amount, the additive amount proportioning in the preparation process of the seawater-based environmentally friendly mud is adjusted.

[0109] The purification process of the waste mud is dynamically adjusted, specifically as follows:

[0110] The sand content of the waste mud in the current set time zone is extracted; wherein the sand content is collected through a collection node pre-arranged at the inlet of the waste mud recovery pipeline;

[0111] The sand content at each time point in the current set time zone is averaged to obtain the sand content average; three groups of range intervals corresponding to the sand content average are pre-constructed, including a light sand content interval, a medium sand content interval and a severe sand content interval;

[0112] The sand content average of the current set time zone is matched with the corresponding range interval, and the light sand content interval, the medium sand content interval and the severe sand content interval are respectively set to correspond to a sand purification adjustment strategy, and the sand purification adjustment strategy includes specific adjustment schemes for the purification equipment; the purification equipment includes a mud remover, a sand remover and a vibrating screen;

[0113] For example, the three groups of range intervals can be set as 0.5%-2%, 2%-5% and 5% or more, and the corresponding sand purification strategy can be formulated as follows:

[0114] Severe sand content interval (total sand content > 5%):

[0115] Target: vibrating screen.

[0116] Adjustment measure: reduce the mesh size of the vibrating screen (120 mesh→80 mesh), and enlarge the screen hole diameter to accelerate the separation of >74μm coarse rock debris;

[0117] Increase the vibration amplitude (1.5mm→2.2mm) and increase the vibration frequency (2800r / min→3200r / min) to enhance the stripping of the adhered rock debris by the screen;

[0118] If the sand content at the outlet of the vibrating screen is still > 3%, a "pre-deposition tank" (residence time 10 minutes) is added after the vibrating screen to remove > 100 μm coarse particles by gravity deposition, and then enter the desander.

[0119] Moderate sand content interval (total sand content 2%-5%):

[0120] Target: desander.

[0121] Adjustment measures: increase the pressure difference between the inlet and outlet of the desander (0.2 MPa→0.3 MPa), enhance the centrifugal force of the cyclone, and improve the separation efficiency of 2-74 μm sand particles;

[0122] Reduce the mud passing speed (flow rate from 15 m³ / h to 12 m³ / h), and prolong the residence time of sand particles in the cyclone;

[0123] If the sand particles have strong adhesion (such as containing clay wrapping), add a small amount of dispersant (sodium tripolyphosphate, 0.1 kg / m³) at the inlet of the desander to break the sand particle agglomeration and avoid clogging the cyclone.

[0124] Mild sand content interval (total sand content 0.5%-2%):

[0125] Target unit: desilter.

[0126] Adjustment measures:

[0127] Replace the desilter cyclone (inner diameter 80 mm→60 mm) to improve the capture ability of 1-2 μm muddy particles;

[0128] Increase the desilter mud discharge frequency (2 times / min→3 times / min) to avoid fine particles from accumulating in the cyclone;

[0129] Detect the sand content at the outlet of the desilter, if <0.5%, then enter the centrifuge to treat the colloid, otherwise repeat the desilting process;

[0130] After adjusting the corresponding equipment based on the determined sand content purification adjustment strategy, the purification application strategy of the next setting time zone is determined;

[0131] The above formulas are dimensionless values calculated, and specific dimensionless methods such as standardization can be used, which will not be described here. The formula is obtained by software simulation of a large amount of data to obtain the most real situation, and the preset parameters in the formula are set by the person skilled in the art according to the actual situation.

[0132] The above-described embodiments can be implemented in part or in whole through software, hardware, firmware or any combination thereof. When implemented in software, the above-described embodiments can be implemented using one or more computer programs written in any suitable programming language. Such programs can be stored in one or more storage media or memory devices (e.g., a computer readable medium) associated with the computer or other suitable devices. The memory devices can include, but are not limited to, RAM, ROM, EEPROM, flash memory or other suitable memory devices. The computer programs can be loaded and / or executed on the computer or other suitable devices to produce a computer implemented process, such that the actions specified in the computer programs are performed. The computer programs can be executed on a single computer or on multiple computers.

[0133] It should be understood that the sequence of the above processes is not intended to mean the execution order of the processes, and the execution order of the processes should be determined according to the functions and inherent logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0134] Those skilled in the art can understand that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0135] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the above-described device embodiments are merely illustrative, for example, the division of units is merely a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed units can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0136] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, which may be located in one place or distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0137] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present alone, or two or more units can be integrated in one unit.

[0138] The functions, if realized in the form of software functional units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or the part of the present application that essentially contributes to the prior art or the part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: a U disk, a mobile ATA hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various program code storage media.

[0139] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A smart proportioning and dynamic purification and circulation system for seawater-based environmentally friendly mud, characterized in that, include: Data monitoring module: Real-time acquisition of seawater salinity and drilling condition parameters during the preparation of seawater-based environmentally friendly mud, as well as sand content parameters of waste mud during purification treatment, thereby constructing a monitoring data package; Drilling condition parameters include drilling flow rate, wellbore diameter, and mud circulation pressure; Intelligent control module: After comprehensively processing the monitoring data packets according to the preset algorithm, it dynamically adjusts the additive ratio and the purification process of waste mud in the preparation of seawater-based environmentally friendly mud. S1: Additives include thickeners and salt-resistant agents. The ratio of salt-resistant agents is determined by analyzing seawater salinity using a preset algorithm. The ratio of thickeners is determined by analyzing drilling flow rate, wellbore diameter, and mud circulation pressure using a preset algorithm. The process for determining the proportion of the salt-resistant agent is as follows: The average salinity of seawater within the set window is calculated as the salinity assessment value; the salinity ranges corresponding to each group of seawater salinity are pre-defined, and each group of salinity ranges corresponds to a required effective concentration of salt-resistant agent; the salinity assessment value is matched with the corresponding salinity range to determine the required effective concentration of salt-resistant agent, which is recorded as the correction concentration. Read the seawater salinity recorded during mixing and stirring according to the preset ratio, and use it as the initial salinity. Then, convert the required salt-resistant agent determined by the initial salinity into the required effective concentration of the salt-resistant agent by matching it with the corresponding salinity range, and record it as the initial concentration. Based on the comparison between the corrected concentration and the initial concentration, the amount of salt-resistant agent to be added or reduced is determined, i.e., by using the formula... Where M represents the current total mass of mud, These represent the amount of salt-resistant agent added and the amount of salt-resistant agent reduced, respectively. These represent the corrected concentration and the initial concentration, respectively. The process for determining the proportion of the tackifier is as follows: The average values ​​of drilling displacement and mud circulation pressure within the set window are calculated and used as displacement evaluation values ​​and pressure evaluation values, respectively. The displacement assessment value and the wellbore diameter are labeled as a1 and a2, respectively, and the formula is used... Calculate the required target viscosity ;in The preset correction factor is used; the pressure assessment value is marked as... Read the current real-time viscosity and the preset pressure threshold, and record them as follows: and ;like > , < Then, based on the amount of thickener added X and the viscosity Mapping relationship: ;in Provides basic viscosity for bentonite; through The difference is used to calculate the amount of thickener to be added.

2. The intelligent proportioning and dynamic purification circulation system for seawater-based environmentally friendly mud according to claim 1, characterized in that: like > , > Then As molecules, Calculate the ratio for the denominator and subtract the integer one to obtain the pressure ratio; Preset pressure ratios for each group of ratio ranges, and assign a viscosity modifier optimization coefficient to each group of ratio ranges; match the calculated pressure ratios with each group of ratio ranges to determine the viscosity modifier optimization coefficient P; through... The difference is used to calculate the amount of thickener to be added.

3. The intelligent proportioning and dynamic purification circulation system for seawater-based environmentally friendly mud according to claim 1, characterized in that: Execute the procedure after determining the ratio of anti-salt agent and thickener; Each set of laboratory cases was extracted from a pre-built experimental database. Each set of laboratory cases included a case number, total mud mass, case performance data, and additive ratio. The case performance data included seawater salinity, drilling displacement, wellbore diameter, and mud circulation pressure. Based on the current total mud mass M as the baseline value, a fluctuation reference mass n is preset, and a mass range (Mn, M+n) is constructed. The total mud mass of each group of laboratory cases is matched with the constructed mass range, and the laboratory cases that are successfully matched are retained as similar cases. Similarity of cases Conduct the analysis and select cases for difference analysis; Extract the total amount of anti-salt agent and total amount of thickener finally determined in the difference analysis case, and record them as e1 and e2. Record the total amount of anti-salt agent and total amount of thickener determined after the current trigger adjustment signal as e3 and e4. and Calculate the difference rate of salt-resistant agent and the difference rate of thickener; The preset allowable difference rates for salt resistance agent difference rate and tackifier difference rate are set. If one of the difference rates between the salt resistance agent difference rate and the tackifier difference rate is higher than the corresponding preset allowable difference rate, a difference signal will be triggered to the technical personnel.

4. The intelligent proportioning and dynamic purification circulation system for seawater-based environmentally friendly mud according to claim 3, characterized in that: The current salinity assessment value, displacement assessment value, well diameter and pressure assessment value are normalized and then denoted as G1, G2, G3 and G4 respectively. The seawater salinity, drilling flow rate, wellbore diameter, and mud circulation pressure in the data of each group of similar cases were normalized and denoted as R1, R2, R3, and R4. Using formula Calculate the similarity of cases in each group. ;hi is the weighting coefficient corresponding to seawater salinity, drilling displacement, wellbore diameter, and mud circulation pressure; Preset similarity The corresponding similarity threshold is used to filter out similar cases that are less than the similarity threshold, and then the case similarity is selected from the filtering results. Smaller similarity cases are used as cases for difference analysis.

5. The intelligent proportioning and dynamic purification circulation system for seawater-based environmentally friendly mud according to claim 3, characterized in that: If the difference rate of anti-salt agent and the difference rate of thickener are both lower than the corresponding preset allowable difference rate, the dosage ratio of additives in the preparation of seawater-based environmentally friendly mud will be adjusted based on the determined amount of anti-salt agent added or reduced, and the amount of thickener added.

6. The intelligent proportioning and dynamic purification circulation system for seawater-based environmentally friendly mud according to claim 1, characterized in that: The purification process of waste sludge is dynamically adjusted; Extract the sand content of waste mud within the current set time zone; calculate the average sand content at each time point within the current set time zone to obtain the average sand content; pre-construct three range intervals corresponding to the average sand content, including light sand content interval, moderate sand content interval, and severe sand content interval; The average sand content of the current set time zone is matched with the corresponding range. A sand content purification adjustment strategy is set for each of the light sand content range, moderate sand content range, and severe sand content range. After adjusting the corresponding equipment based on the matched sand content purification adjustment strategy, it is used as the purification application strategy for the next set time zone.

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