WO2023052705A1 - Procédé optimisé d'évaluation de la qualité de raccordement de deux composants tubulaires - Google Patents
Procédé optimisé d'évaluation de la qualité de raccordement de deux composants tubulaires Download PDFInfo
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- WO2023052705A1 WO2023052705A1 PCT/FR2022/051739 FR2022051739W WO2023052705A1 WO 2023052705 A1 WO2023052705 A1 WO 2023052705A1 FR 2022051739 W FR2022051739 W FR 2022051739W WO 2023052705 A1 WO2023052705 A1 WO 2023052705A1
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- connection
- torque
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- tubular components
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- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000007789 sealing Methods 0.000 claims description 40
- 230000006870 function Effects 0.000 claims description 33
- 238000004422 calculation algorithm Methods 0.000 claims description 15
- 238000011156 evaluation Methods 0.000 claims description 11
- 238000010200 validation analysis Methods 0.000 claims description 3
- YBJHBAHKTGYVGT-ZKWXMUAHSA-N (+)-Biotin Chemical compound N1C(=O)N[C@@H]2[C@H](CCCCC(=O)O)SC[C@@H]21 YBJHBAHKTGYVGT-ZKWXMUAHSA-N 0.000 description 7
- FEPMHVLSLDOMQC-UHFFFAOYSA-N virginiamycin-S1 Natural products CC1OC(=O)C(C=2C=CC=CC=2)NC(=O)C2CC(=O)CCN2C(=O)C(CC=2C=CC=CC=2)N(C)C(=O)C2CCCN2C(=O)C(CC)NC(=O)C1NC(=O)C1=NC=CC=C1O FEPMHVLSLDOMQC-UHFFFAOYSA-N 0.000 description 7
- 238000010801 machine learning Methods 0.000 description 5
- 238000003032 molecular docking Methods 0.000 description 4
- 230000000295 complement effect Effects 0.000 description 3
- 230000000875 corresponding effect Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000002596 correlated effect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000013386 optimize process Methods 0.000 description 1
- 230000010355 oscillation Effects 0.000 description 1
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- 238000007637 random forest analysis Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
- G01L5/24—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for determining value of torque or twisting moment for tightening a nut or other member which is similarly stressed
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B17/00—Drilling rods or pipes; Flexible drill strings; Kellies; Drill collars; Sucker rods; Cables; Casings; Tubings
- E21B17/02—Couplings; joints
- E21B17/04—Couplings; joints between rod or the like and bit or between rod and rod or the like
- E21B17/042—Threaded
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16L—PIPES; JOINTS OR FITTINGS FOR PIPES; SUPPORTS FOR PIPES, CABLES OR PROTECTIVE TUBING; MEANS FOR THERMAL INSULATION IN GENERAL
- F16L15/00—Screw-threaded joints; Forms of screw-threads for such joints
- F16L15/001—Screw-threaded joints; Forms of screw-threads for such joints with conical threads
- F16L15/004—Screw-threaded joints; Forms of screw-threads for such joints with conical threads with axial sealings having at least one plastically deformable sealing surface
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16L—PIPES; JOINTS OR FITTINGS FOR PIPES; SUPPORTS FOR PIPES, CABLES OR PROTECTIVE TUBING; MEANS FOR THERMAL INSULATION IN GENERAL
- F16L2201/00—Special arrangements for pipe couplings
- F16L2201/10—Indicators for correct coupling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
Definitions
- TITLE Optimized process for evaluating the connection quality of two tubular components
- the present invention relates generally to threaded tubular components and, more specifically, to a method of connecting a threaded portion of a first tubular component with a threaded portion of a second tubular component.
- the invention relates to a method for evaluating the conformity of the connection of a threaded portion of a first tubular component with a threaded portion of a second tubular component.
- the operations carried out include the connection of tubular components between them and their descent into the wells in order to form drill strings or oil or gas operating well strings.
- a male or female threaded portion disposed at one end of a first tubular component can be directly connected to a complementary threaded portion of a second tubular component.
- first and second tubular components may be indirectly connected by means of an intermediate tubular component, such as a fitting.
- the tubular components are assembled under defined constraints in order to meet the tightening and sealing requirements imposed by the conditions of use, in order to guarantee the integrity of the assembly during its use over its entire lifespan.
- connection is not correctly made, which can cause leaks in the pipe, or even damage the tubular components or lead to their premature separation.
- the tools intended for connecting tubular components comprise sensors configured to determine the torque applied during screwing as well as the number of turns of the first tubular component relative to the second tubular component.
- These tools make it possible to draw a curve representing the evolution of the torque value as a function of the number of turns made during assembly, which is generally called a "screwing curve".
- Solutions for evaluating the quality of connection of two tubular components consist of the study of the screwing curve by a competent person.
- connection status of the tubular components representative of the state, conforming or not conforming is associated with the tightening curve which makes it possible to define whether the connection is, respectively, conforming or not conforming to the expected specifications.
- the object of the invention is therefore to overcome these drawbacks and relates to a method for connecting threaded tubular components leading to an accurate and reliable assessment of the quality of the connection.
- connection method comprising: engaging the first threaded portion on the second threaded portion; the rotation of the first tubular component with respect to the second tubular component for the screwing of the threaded portions; obtaining a screwing curve representing the torque applied when screwing the first threaded portion onto the second threaded portion until the final position as a function of a relative amount of rotation between the first and second tubular components, by example depending on the number of turns made by the first tubular component relative to the second tubular component.
- the method comprises the evaluation of the quality of connection of the first and second tubular components, from a first model and a second model, by validation or rejection of the screwing curve obtained and allocation of a connection status representative, respectively, of the conforming or non-conforming state of the connection of the first and second tubular components; the first model being configured to reject the tightening curve when at least one primary digital variable of the tightening curve obtained is outside a range of reference values associated with said at least one primary digital value, said range of values of reference being representative of a conforming state of the connection of the first and second tubular components; and the second model being based on an algorithm trained by automatic learning from elementary variables of reference tightening curves, said reference tightening curves being by example stored in a database, said second model being configured to evaluate the connection quality of the first and second tubular components as a function of said elementary variables when the tightening curve obtained has been previously validated by the first model.
- the first model based on numerical primary variables allows the rejection of curves in a completely interpretable way, the causes of the rejection being able to be identified precisely.
- the second model based on an algorithm trained by machine learning, offers a summary of the history of tightening curves deemed compliant or non-compliant by expertise.
- the second model can be a decision algorithm based on a numerical model defined by learning.
- the tightening curve and the tightening parameters need to be reduced to a list of numerical variables, called elementary variables, correlated with the acceptance or rejection of the connection.
- elementary variables which each represent a characteristic of the curve (for example an area under the curve, a torque difference between two points, a slope, etc.).
- the combination of the first model and the second model thus offers a good performance in evaluating the conformity of the connection obtained.
- the learning is carried out by dividing up a population of initial reference curves, the conformity of which is for example determined by human expertise.
- a first part of this population being used for the learning itself by an algorithm, for example of the “random forest” type.
- Another part of this population is used to measure the relevance of the predictions of the algorithm thus trained. This cutting can be repeated to validate the performance of the model statistically.
- This second model thus makes it possible to detect with very good precision almost all of the curves historically rejected by the experts in a complementary way to the first model. Indeed, the second model detects significantly more historical rejections because it explicitly tries to replicate historical labeling and not just apply rules like those applied by the first model.
- the decisions of the second model are difficult to interpret, so that it is hardly possible to know why a curve is rejected by the second model.
- the tightening curve is preferably evaluated by the first model initially and, if the tightening curve obtained by the first model is qualified as compliant by the first model, the second model then evaluates said tightening curve obtained. This strategy empirically allows a good balance between detection performance, interpretability of the decision and robustness of the model.
- the primary digital variables include one or more of the following variables: the torque at the end position, the torque at a shoulder position in which respective shoulders of the first and second tubular components come into contact, the amount of relative rotation between the first and second tubular components between the shoulder position and the end position, for example the number of turns between the shoulder position and the end position, the slope of the curve between the shoulder position and the end position, the torque at a sealing position in which respective sealing lands of the first and second tubular components contact, and/or the amount of relative rotation between the first and second tubular components between the sealing position and the step, for example the number of turns between the sealing position and the step position.
- part of the reference tightening curves for example the reference curves of the database prior to any learning of the second model, are associated with a compliant or non-compliant state of the connection by human expertise.
- part of the reference tightening curves for example the reference curves of the database obtained by learning using the second model, are associated with a compliant or non-compliant state of the connection by learning without recourse to human expertise.
- the elementary variables comprise one or more secondary digital variables, the second model evaluating the connection quality of the first and second tubular components as a function of one or more of said secondary digital variables, said one or more secondary digital variables being calculated from a respective primary digital variable and minimum and maximum reference values, said minimum and maximum reference values limiting the range of reference values associated with said primary digital variable, said one or more secondary digital variables being calculated according to the following equation: where: B is said secondary numeric variable; A is a primary numeric variable; Amin is the minimum reference value equal to the lower limit of the reference value range associated with said primary digital variable; and Amax is the maximum reference value equal to the upper limit of the range of reference values associated with said primary digital variable.
- the elementary variables comprise one or more normalized variables.
- the second model evaluates the connection quality of the first and second tubular components from one or more normalized variables calculated as a function of a respective primary digital variable, said primary digital variable being representative of a couple, said one or more normalized variables being equal to the ratio of the corresponding primary numerical variable to the optimal torque.
- the elementary variables include a sum of the torque losses between two successive points of the curve.
- the second model can evaluate the connection quality of the first and second tubular components according to a value normalized value of the sum of the torque losses between two successive points of the tightening curve obtained, said normalized value being equal to the ratio of said sum of the calculated torque losses to the optimum torque.
- the elementary variables include a derivative on the curve between the shoulder position and the final position.
- the second model can evaluate the connection quality of the first and second tubular components according to the variation of the derivative on curve between the shoulder position and the final position of the screwing curve obtained.
- the elementary variables comprise a maximum torque loss value between two successive points of the curve, said two successive points being located between the sealing position and the shoulder position and/or between the shoulder position and the final position.
- the second model can evaluate the connection quality of the first and second tubular components as a function of a normalized value of the maximum torque loss value between said two successive points of the tightening curve obtained, the normalized value being equal to the ratio of said maximum value to the optimum torque.
- the primary digital variables comprise a screwing speed.
- the first model can evaluate the connection quality of the first and second tubular components as a function of the screwing speed when connecting the first and second tubular components.
- the primary numerical variables include a loss of linearity of the curve between the shoulder position and the end position.
- the first model can evaluate the connection quality of the first and second tubular components according to the loss of linearity obtained between the shoulder position and the final position for the screwing curve obtained.
- the primary digital variables include a maximum torque loss value between two successive points of the curve, said two successive points being located between the position shoulder and final position.
- the first model can evaluate the connection quality of the first and second tubular components as a function of a maximum torque loss value between two successive points of the tightening curve obtained, said two successive points being located between the position d ' shoulder and final position.
- the primary numeric variables include a relative amount of rotation between the first and second tubular components, for example in number of turns, during a torque loss occurring between the shoulder position and the end position.
- the first model can assess the quality of connection of the first and second tubular components based on the amount of relative rotation between the first tubular component and the second tubular component during a torque loss occurring between the position of shoulder and final position.
- the primary digital variables include a relative amount of rotation, for example in number of turns, between the first and second tubular components between an engagement position and the final position, said engagement position being prior to the relative rotation between the first tubular component and the second tubular component.
- the first model evaluates the connection quality of the first and second tubular components based on the amount of relative rotation between the first tubular component and the second tubular component between the engagement position and the final position.
- the primary digital variables include a maximum torque before the seal position.
- the first model can evaluate the connection quality of the first and second tubular components as a function of the value of a maximum torque of the screwing curve obtained before the sealing position, the screwing curve obtained being rejected by the first model when said value of the maximum torque is greater than 10% of the optimum torque.
- the second model includes one or more of the rejection criteria of the first model.
- the variables elements include one or more of the primary numeric variables.
- FIG I C are cross-sectional views of a first and a second tubular component to be connected, respectively, in a screwing position, in a sealing position and in a shoulder position;
- FIG 2 illustrates a screwing curve reflecting the torque applied when connecting a first and a second tubular component as a function of the number of turns made by the first tubular component relative to the second tubular component.
- Figures IA, I B and I C illustrate different stages of the connection of a first tubular component 1 with a second tubular component 2.
- the tubular component 1 is a sleeve-type coupling, configured to allow the connection of the second tubular component 2 with a third tubular component, not shown.
- the first and second tubular components 1 and 2 comprise a threaded portion, respectively 3 and 4, advantageously arranged at one of their ends.
- the thread 5 of the threaded portion 3 and the thread 6 of the threaded portion 4 are configured to cooperate.
- first tubular component 1 comprises a first sealing surface 7
- second tubular component 2 comprises a second sealing surface 8.
- the sealing surfaces are formed by a surface intended to ensure the sealing of the assembly of the tubular components 1 and 2 when they are connected.
- the first tubular component 1 further comprises a first shoulder 9, and the second tubular component 2 comprises a second shoulder 10.
- the shoulders 9 and 10 form a stopper to stop screwing.
- the sealing surfaces 7 and 8 as well as the shoulders 9 and 10 are configured to cooperate respectively.
- tubular components that do not include a stopper There are also tubular components that do not include sealing surfaces. There are also tubular components that do not include abutment or sealing surface.
- the invention is intended to be able to be applied in part to the connection of these types of components, for the portions of curve between the start of connection and the contact of the sealing surfaces, for the portion of curve between the contact of the sealing surfaces sealing and the end of the connection, or else between the start of the connection and the end of the connection without there being any contact between the sealing surfaces or stops during the connection.
- connection method first of all comprises the engagement of the first tubular component 1 on the second tubular component 2. More particularly, the connection method comprises the engagement of the first threaded portion 3 in the second threaded portion 4.
- the tool used to make the connection is a wrench.
- This screwing key is equipped with grippers and motors for rotating the first and second tubular components 1 and 2 relative to each other.
- the screwing key is also equipped with sensors for measuring the number of turns applied and the tightening torque applied. These sensors are connected to electronics making it possible to store during the operation the torque and rotation data applied and relating to the assembly.
- This electronics is connected to a processing unit comprising a processing algorithm.
- the processing unit is also equipped with a user interface for displaying an evaluation result and/or a tightening curve obtained during a connection.
- the method further comprises obtaining a set of points constituting a screwing curve representing the torque applied when screwing the first tubular component 1 to a final position as a function of the number of turns made by the first component tubular 1 relative to the second tubular component 2.
- the general profile of the curve obtained is illustrated in FIG. 2. It can be seen that the curve obtained comprises three distinct portions with different slopes.
- the first portion 11 corresponds to the engagement of the first tubular component 1 on the second tubular component 2 then to the screwing of the threaded portions 3 and 4, as shown in Figure IA.
- the threads 5 and 6 gradually come into contact, resulting in an increasingly high applied torque.
- the first sealing surface 7 of the first tubular component 1 comes into contact with the second sealing surface 8 of the second tubular component 2.
- the tubular components 1 and 2 are then in a position called position d sealing, illustrated in figure IB.
- the rotation of the first tubular component 1 relative to the second tubular component 2 then leads to a shoulder point Rs.
- the tubular components 1 and 2 are then in a position called shoulder position , illustrated in Figure IC, in which the first shoulder 9 of the first tubular component 1 comes into contact with the second shoulder 10 of the second tubular component 2.
- the increased friction between the surfaces of the respective shoulders 9 and 10 adds to the friction resulting from the contact between the threads 5 and 6 and the friction between the sealing surfaces 7 and 8, which results in a new change in slope and a consequent increase in the torque applied, defining a third portion 13 of the curve obtained extending to a final point Rf where the tubular components have reached the final position.
- final position in the present invention a position of the first and second tubular components 1 and 2 in which a maximum screwing torque is applied and the connection is completed.
- the docking point RI, the shoulder point Rs, the end point Rf, and a slope factor S between the shoulder point Rs and the end point Rf of the tightening curve are parameters of the tightening curve which can be considered to determine the conformity of the connection of the first second tubular components 1, 2.
- the value of each of these parameters depends on the type of the tubular components to be connected.
- the slope factor S can be calculated from the torque Ts at the shoulder point Rs, from the torque Tf at the end point Rf and from an optimum torque T*.
- the slope factor S is defined by the slope between the shoulder position and the end position, divided by the optimum torque T* , as expressed by the following equation:
- optimum torque T* is meant a predetermined torque to be reached in the final position, which is specific to the model of tubular components and connections to be connected.
- connection method comprises the evaluation of the connection quality of the first and second tubular components 1, 2 from a first and a second screwing curve rejection models.
- the first and second models validate or reject the tightening curve obtained according to rejection criteria.
- a connection status representative of the compliant condition of the connection of the first and second tubular components 1 and 2 is assigned to the screwing curve and, when the screwing curve obtained is rejected, a status representative of the non-compliant state of the connection of the first and second tubular components 1 and 2 is attributed to the screwing curve.
- the first model is configured to reject the tightening curve when the value of at least one primary digital variable A of the tightening curve obtained deviates from a range of reference values characteristic of a compliant state of the connection of the first and second tubular components 1, 2.
- the first model can be based on an algorithm.
- the second model is based on an algorithm driven by machine learning or “artificial intelligence”.
- the algorithm is trained from elementary variables of reference tightening curves stored in a database.
- the elementary variables considered by the algorithm of the second model each represent a characteristic of the tightening curve.
- the second model evaluates the quality of connection of the first and second tubular components 1 and 2 in order to confirm or invalidate the validation of the screwing curve by the first model.
- connection quality of the first and second tubular components 1, 2 is conducted, in a first step, by the first rejection model, then, in a second step, by the second model, if the tightening curve is previously validated by the first model.
- Primary digital variables A can be determined on the tightening curve from the following parameters: the docking point RI, the shoulder point Rs, the end point Rf, and/or the slope factor S between the point of shoulder Rs and end point Rf of the tightening curve.
- the primary numerical variables A considered by the first model include: the torque Tf at the position final position, the torque Ts at the shoulder position, the number of revolutions AR s -f between the shoulder position and the final position, and the slope factor S .
- other primary digital variables A can be considered such as the torque T1 at a sealing position and the number of turns ARi- s between the sealing position and the shoulder position.
- a range of reference values is determined, bounded by a minimum reference value Amin and a maximum reference value Amax.
- the range of reference values is representative of a compliant state of the connection of the first and second tubular components 1, 2.
- the minimum reference value Amin and the maximum reference value Amax can be determined, for each type of tubular component and connection model to be connected, from reference curves, stored in a database, and associated to a connection status representative of a state, compliant or non-compliant, of the connection of first and second reference tubular components.
- the reference curves for which the connection has been made successfully are associated with a conforming state and, conversely, the reference curves for which the connection has failed are associated with a non-conforming state.
- the reference tightening curves are stored in a database.
- These reference curves from the database are associated with a compliant or non-compliant state of the connection, preferably by human expertise.
- An expert or any other competent person can validate the connection of the reference tubular components by associating the “compliant” status with the reference curve obtained, if he finds that the connection has been made successfully.
- the expert invalidates the connection of the reference tubular components by associating the “non-compliant” status with the reference curve obtained, if the latter finds that the connection has failed. It is thus possible to obtain a reliable extended database.
- the first model is configured to reject the screwing curves when the torque Tf at the end position, the torque Ts at the shoulder position, the number of turns AR s -f between the shoulder position and the final position, and the slope factor S are lower than the minimum reference value Amin with which they are respectively associated, or higher than the maximum reference value Amax with which they are respectively associated.
- the first model can evaluate the connection quality of the first and second tubular components 1, 2 as a function of the screwing speed. Too high a speed, especially at the shoulder position, may indicate a connection fault.
- the tightening curve is preferably rejected when the tightening speed is greater than a predetermined threshold value, for example equal to 5 revolutions per minute.
- a rejection criterion of the first model can be based on the determination of a loss of linearity between the shoulder position and the final position.
- a loss of linearity can in particular reflect plastic deformation and skids.
- a linear interpolation can be performed, by drawing a straight line passing through the 25% index and the 75% index between the shoulder point Rs and the end point Rf. The maximum distance between the tightening curve obtained during the joining process and the straight line is then calculated.
- the loss of linearity can be calculated by dividing the average deviation of the curve from the linear interpolation by the optimum torque T*.
- An absolute value of the mean deviation will preferably be calculated by the algorithm trained by machine learning so that the oscillations from linear interpolation result in a high coefficient and are more easily determined.
- the first model can evaluate the quality of connection of the first and second tubular components 1, 2 as a function of a maximum value of loss of torque between two successive points of the screwing curve obtained between the shoulder position and the position final.
- Determining a maximum torque loss value is particularly advantageous for detecting connection faults linked to skidding or slipping, and can also reflect the appearance of noise in the power cable.
- maximum torque loss value is meant the largest torque loss determined on the tightening curve.
- a criterion of rejection and the first model can be based on the number of turns made during a loss of torque arising between the shoulder position and the end position.
- the first model can also evaluate the quality of connection of the first and second tubular components 1, 2 as a function of the number of Rf turns carried out in the final position in order to reject curves that are too short reflecting a non-compliant state of the connection.
- the tightening curve is, for example, rejected when the number of turns Rf performed at the final position is less than a predetermined threshold value, for example equal to one turn.
- the first model evaluates the connection quality of the first and second tubular components as a function of the value of a maximum torque before the sealing position, the screwing curve obtained being rejected by the first model when said value of the maximum torque is greater than 10% of the optimum torque T* .
- the first model is a combination of numerical criteria representing unambiguous patterns of rej and screwing curves. Each of the rejection criteria is calculated from a numerical criterion and a minimum or maximum threshold on this numerical criterion.
- This first model is adaptable and makes it possible to identify the cases of rejections corresponding to the most frequent problems occurring during a connection of two tubular components 1, 2. It is also completely interpretable, the cause(s) of rejection and the rate of exceeding the threshold being identifiable.
- an explicit reason is notified to the operator by indicating the rejection criterion on which the assignment of a status representing a non-compliant state is based.
- the second model can preferably evaluate the connection quality of the first and second tubular components as a function of one or more secondary digital variables B each calculated from a primary digital variable A, and of the minimum and reference value Amin, Amax limiting the range of reference values according to the following equation:
- Amax (Amax — A min ) where: B is a secondary numeric variable; A is a primary numeric variable; Amin is the minimum reference value of the primary numeric variable; and Amax is the maximum reference value of the primary numeric variable.
- the secondary digital variables B calculated make it possible to measure more easily and with better sensitivity a deviation of the primary digital variable A from the reference value range bounded by the minimum reference value Amin and by the maximum reference value Amax
- the secondary numerical variable B calculated is less than 0 or greater than 1 , this indicates that the primary variable A is not included in the reference value range and the p algorithm rejects the tightening curve which is then associated with an incorrect state of the connection. This results in a finer and more reliable discrimination on the quality of screwing, and this for a variety of connection models.
- the secondary variables B are calculated from the torque Tf at the end position, the torque Ts at the shoulder position, the number of turns AR s -f between the shoulder position and the end position , and the slope factor S .
- the secondary variable Bf linked to the final torque is calculated according to the following equation: where: Bf is a secondary variable related to the final torque; Tf is the final pair; T fmin is the minimum reference value of the final torque; and T fmax is the maximum reference value of the final torque.
- the second model can also evaluate the connection quality of the first and second tubular components 1 and 2 from one or more standardized variables C .
- a normalized variable C is calculated as a function of a primary digital variable A representative of a couple, the normalized variable being equal to the ratio of the primary digital variable A to the optimal couple T* as defined by the following equation: where: C is a normalized variable; A is a primary variable; and T* is the optimum torque.
- the normalized variable linked to the final torque is calculated according to the following equation: where: Cf is the normalized variable linked to the final torque; Tf is the final couple; and T* is the optimum torque.
- the normalized variables C are calculated from the torque Tf at the final position, from the torque Ts at the shoulder position, from the torque Tl at the sealing position, from the delta torque ATn s between the position sealing and the shoulder position, and of the delta torque ATs-f between the shoulder position and the final position.
- the delta torque ATi- s between the sealing position and the shoulder position corresponds to the difference in value of the torque measured between the sealing position and the shoulder position.
- the second model can reject the tightening curve as a function of the sum of the torque losses between two successive points of the tightening curve obtained. This makes it possible, in particular, to detect interferences at the level of the threads.
- a normalized value will preferably be calculated and defined by said sum of the calculated torque losses divided by the predetermined optimum torque T*.
- the second model can evaluate the connection quality of the first and second tubular components 1, 2 according to the variation of the derivative on the curve after the shoulder position on the screwing curve obtained.
- the variation of the derivative on curve is equal to the deviation from the list defined by the slopes between the shoulder position and the final position on the tightening curve obtained divided by the optimum torque T* .
- the second model can evaluate the quality of connection of the first and second tubular components 1, 2 as a function of a maximum value of loss of torque between two successive points of the screwing curve obtained between the sealing position and the position shoulder position and/or between the shoulder position and the end position.
- the rejection criterion based on the maximum torque loss can be evaluated from a normalized value equal to the ratio of said maximum torque loss value to the optimum torque T*.
- the rejection criterion based on the maximum loss of torque can also be evaluated from a normalized value equal to the ratio of said maximum value of torque loss to the torque at the shoulder Ts.
- the second model can evaluate the connection quality of the first and second tubular components 1, 2 as a function of the value of a maximum torque before the sealing position and/or between the sealing position and the d 'shoulder, the tightening curve being rejected by the second model when said value of the maximum torque is greater than 10% of the optimum torque T*.
- a normalized value is defined by said maximum torque divided by the shoulder torque Ts.
- a high value may indicate a connection problem.
- a criterion for rejecting the second model can be based on the value of the area defined between the curve and the abscissa axis, i.e. the number of turns, for the last two turns divided by the optimum torque T* . This makes it possible in particular to reject tightening curves that do not have a docking point RI or a shoulder point Rs.
- the second model is based on a learning-trained algorithm.
- the tightening curve and the tightening parameters are reduced to a list of elementary variables correlated with the acceptance or rejection of the tightening.
- the elementary variables each represent a characteristic of the tightening curve.
- the second model includes one or more of the rejection criteria of the first model.
- the increase in the number of descriptive variables of the curve helps the algorithm to classify the curves.
- the learning is then carried out on the database of reference tightening curves.
- the process for connecting the first and second tubular components 1, 2 may comprise the establishment of a score by the second model after evaluation of the quality of connection according to the rejection criteria which are specific to it.
- the first and second models are complementary and make it possible to detect, respectively, around 70% and 99% of the rejection cases.
- This strategy for evaluating the connection quality of two tubular components empirically provides the best balance between detection performance, interpretability of the decision and robustness of the overall model. Their articulation thus makes it possible to detect almost all non-compliant connections, in an automated way, without human intervention.
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Non-Disconnectible Joints And Screw-Threaded Joints (AREA)
- Details Of Spanners, Wrenches, And Screw Drivers And Accessories (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
- Mutual Connection Of Rods And Tubes (AREA)
Abstract
Description
Claims
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
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MX2024004007A MX2024004007A (es) | 2021-09-28 | 2022-09-15 | Metodo optimizado para evaluar la calidad de conexion de dos componentes tubulares. |
EP22789638.8A EP4409251A1 (fr) | 2021-09-28 | 2022-09-15 | Procédé optimisé d'évaluation de la qualité de raccordement de deux composants tubulaires |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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FR2110213A FR3127567B1 (fr) | 2021-09-28 | 2021-09-28 | Procédé optimisé d’évaluation de la qualité de raccordement de deux composants tubulaires |
FRFR2110213 | 2021-09-28 |
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Publication Number | Publication Date |
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WO2023052705A1 true WO2023052705A1 (fr) | 2023-04-06 |
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PCT/FR2022/051739 WO2023052705A1 (fr) | 2021-09-28 | 2022-09-15 | Procédé optimisé d'évaluation de la qualité de raccordement de deux composants tubulaires |
Country Status (4)
Country | Link |
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EP (1) | EP4409251A1 (fr) |
FR (1) | FR3127567B1 (fr) |
MX (1) | MX2024004007A (fr) |
WO (1) | WO2023052705A1 (fr) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180224029A1 (en) * | 2017-02-03 | 2018-08-09 | Weatherford Technology Holdings, Llc | Autonomous connection evaluation and automated shoulder detection for tubular makeup |
FR3079905A1 (fr) * | 2018-04-10 | 2019-10-11 | Vallourec Oil And Gas France | Procede d evaluation de la qualite de raccordement de deux composants tubulaires |
US20200047336A1 (en) * | 2018-08-07 | 2020-02-13 | Frank's International, Llc | Connection analyzed make-up systems and methods |
-
2021
- 2021-09-28 FR FR2110213A patent/FR3127567B1/fr active Active
-
2022
- 2022-09-15 MX MX2024004007A patent/MX2024004007A/es unknown
- 2022-09-15 EP EP22789638.8A patent/EP4409251A1/fr active Pending
- 2022-09-15 WO PCT/FR2022/051739 patent/WO2023052705A1/fr active Application Filing
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180224029A1 (en) * | 2017-02-03 | 2018-08-09 | Weatherford Technology Holdings, Llc | Autonomous connection evaluation and automated shoulder detection for tubular makeup |
FR3079905A1 (fr) * | 2018-04-10 | 2019-10-11 | Vallourec Oil And Gas France | Procede d evaluation de la qualite de raccordement de deux composants tubulaires |
US20200047336A1 (en) * | 2018-08-07 | 2020-02-13 | Frank's International, Llc | Connection analyzed make-up systems and methods |
Also Published As
Publication number | Publication date |
---|---|
MX2024004007A (es) | 2024-04-22 |
EP4409251A1 (fr) | 2024-08-07 |
FR3127567B1 (fr) | 2023-08-25 |
FR3127567A1 (fr) | 2023-03-31 |
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