CN-116610842-B - Method, application, device, equipment and medium for calculating friction coefficient of casing running

CN116610842BCN 116610842 BCN116610842 BCN 116610842BCN-116610842-B

Abstract

The invention provides a method, application, a device, equipment and a medium for calculating a casing friction coefficient, wherein the method comprises the steps of obtaining data, including borehole track parameters, well bottom drilling tool combination parameters, drilling fluid parameters, well loading data and well depth data, screening data, carrying out data interpolation on a subsection point of a well bottom drilling tool combination structure of a well, confirming well depth, well oblique angle and azimuth angle of any position, calculating dog leg degree and/or curvature of the corresponding subsection of the bottom drilling tool combination structure and a standard drill rod according to the well depth, the well oblique angle and the azimuth angle of any position, confirming axial load and friction coefficient of each section, establishing a hook load model, confirming hook load, measuring actual well hook loading data, carrying out inverse performance on the optimal comprehensive friction coefficient according to the hook load and the actual well hook loading data, and confirming the casing friction coefficient according to the optimal comprehensive friction coefficient. The method has high accuracy of the predicted data, and can improve the safety of drilling operation and quickly make casing running operation.

Inventors

WANG CHUNQUAN
LIU SHIBIN
WU LANG
FENG YUQI
YANG CHUAN
YANG XIANGYU
ZENG FANKUN
XU GUILI

Assignees

中国石油天然气集团有限公司
中国石油集团川庆钻探工程有限公司

Dates

Publication Date: 20260508
Application Date: 20230425

Claims (9)

1. A method for calculating a friction coefficient of a casing running, the method comprising the steps of: S1, acquiring data, wherein the data comprise borehole track parameters, well bottom drilling tool combination parameters, drilling fluid parameters, well dredging load data and well depth data; S2, screening the data, carrying out data interpolation on the subsection points of the bottom hole assembly structure of the open well, and confirming the well depth, the well oblique angle and the azimuth angle of any position; s3, calculating the dogleg degree and/or curvature of the corresponding section of the bottom drilling tool assembly structure and the standard drill rod according to the well depth, the well oblique angle and the azimuth angle of the arbitrary position; S4, confirming the axial load and friction coefficient of each section, establishing a hook load model, and confirming the hook load; s5, measuring actual open well large hook load data, and performing inverse optimal comprehensive friction coefficient according to the large hook load and the actual open well large hook load data; S6, confirming a casing friction coefficient according to the optimal comprehensive friction coefficient; Inverting an optimal comprehensive friction coefficient by using an Euler type optimizing algorithm; the step S5 comprises the steps of dividing the vertical well section, the inclined well section and the horizontal well section into three sections, and respectively inverting to confirm the optimal comprehensive friction coefficient; The step S5 comprises the steps of confirming an initial value and a step length of a comprehensive friction coefficient, taking the absolute value of the difference between the hook load and actual general well hook load data as the hook load error, iterating the comprehensive friction coefficient when the hook load error is larger than 0.5, finishing the iteration when the hook load error is smaller than or equal to 0.5 to obtain an optimal value of the comprehensive friction coefficient, and taking the comprehensive friction coefficient when the hook load error is minimum when the hook load error is within 0-1; The step S6 comprises the steps of establishing a friction coefficient model according to the optimal comprehensive friction coefficient to confirm the friction coefficient of the casing, wherein the friction coefficient model is as follows: ; (9) Wherein, the The friction coefficient of the lower sleeve is set; Is the optimal value of the comprehensive friction coefficient; for the casing centralizer influence coefficient, when 1 rotational flow rigid centralizer is under each casing, s=1.0.
2. A method of calculating a casing friction coefficient according to claim 1, wherein said screening said data comprises: Taking the average value of the hook load data with the well depth smaller than 100m as a reference load, removing the data with the hook load lower than 1.1 times of the reference load, and removing the data with the rotating speed larger than 1RPM or the torque larger than 0.1KN.m or the displacement larger than 1L/S or the pressure larger than 0.5 MPa; when the well depths are the same, only the data with the maximum hook load is reserved; when the well depth trend changes, data consistent with the two well depth data change trends behind the well depth data are reserved.
3. The method for calculating a friction coefficient of casing running according to claim 1, wherein the data interpolation is a linear interpolation, and the well depth, the well inclination angle and the azimuth angle of the arbitrary position are respectively confirmed according to a well depth model, a well inclination angle model and an azimuth angle model, and the models are as follows: Well depth model: ; (1) Well angle model: ; (2) azimuth model: ; (3) Wherein, the The well depth, m, is known for the i measure point in the wellbore trajectory; The length of the distance L i between the positions to be solved is m; , the well inclination angle, azimuth angle and degree of the i measuring point are known in the well track; the well depth distance m between two adjacent measuring points at the position to be solved in the well track; The well inclination angle variation and the degree of two adjacent measuring points at the position to be solved in the well track; the azimuth angle variation and the azimuth angle variation of two adjacent measuring points of the position to be solved in the well track are measured.
4. The method for calculating a friction coefficient of casing running according to claim 1, wherein the dog-leg degree and the curvature are respectively established according to a deformation characteristic of a tubular column in a three-dimensional borehole, and the models are as follows: Dog leg degree model: ; (4) Curvature model: and (5) wherein, Is dog leg degree, degree/30 m; , the well inclination angle, azimuth angle and degree of the i measuring point are known in the well track; Is curvature, °/m; the i-station well depth, m, is known in the wellbore trajectory.
5. The method for calculating a friction coefficient of a running sleeve according to claim 1, wherein the hook load model is: ; (6) Wherein, the , , ; (7) ; (8) Is the axial load at the wellhead, KN; the well depth distance m between two adjacent measuring points at the position to be solved in the well track; i measuring point dogleg degree, degree/30 m; the weight of the tubular column line is KN/m; Average well inclination angle for the section; the well inclination angle is the angle of the point well; Is the comprehensive friction coefficient; The elastic modulus of the pipe column is Pa; m 4 , which is the moment of inertia of the section of pipe column; Is curvature, °/m; And the axial load of the point i is KN.
6. Use of the method for calculating a running friction coefficient according to any one of claims 1 to 5 for running friction prediction and control.
7. A device for calculating the friction coefficient of a running casing is characterized in that the device is used for realizing the method for calculating the friction coefficient of the running casing according to any one of claims 1 to 5 and comprises an acquisition data module, a data processing module, a dog leg degree confirming module, a hook load confirming module, an optimal comprehensive friction coefficient confirming module and a running casing friction coefficient confirming module, The system comprises an acquisition data module, a well logging information processing module and a well depth data processing module, wherein the acquisition data module is configured to acquire borehole track parameters, well bottom drilling tool combination parameters, drilling fluid parameters, well logging load data and well depth data; the data processing module is connected with the data acquisition module and is configured to screen the data and the data interpolation to confirm the well depth, the well inclination angle and the azimuth angle of any position; the dogleg degree confirmation module is connected with the data processing module and is configured to calculate the dogleg degree and/or curvature of the corresponding sections of the bottom hole assembly structure and the standard drill rod according to the well depth, the well oblique angle and the azimuth angle of the arbitrary position; the hook load confirming module is connected with the dogleg degree confirming module and is configured to confirm the axial load and friction coefficient of each section, establish a hook load model and confirm the hook load; The optimal comprehensive friction coefficient confirming module is connected with the hook load confirming module and is configured to measure actual open well hook load data and to reverse the optimal comprehensive friction coefficient according to the hook load and the actual open well hook load data; the casing running friction coefficient confirmation module is connected with the optimal comprehensive friction coefficient confirmation module and is configured to confirm the casing running friction coefficient according to the optimal comprehensive friction coefficient.
8. A computer device, comprising: at least one processor; a memory storing program instructions, wherein the program instructions are configured to be executed by the at least one processor, the program instructions comprising instructions for performing the method of calculating a casing friction coefficient according to any one of claims 1-5.
9. A computer readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the method of calculating a running friction coefficient according to any one of claims 1 to 5.

Description

Method, application, device, equipment and medium for calculating friction coefficient of casing running Technical Field The present invention relates to the field of petroleum drilling engineering, and in particular, to a method for calculating a friction coefficient of casing, application of the method, a device for calculating a friction coefficient of casing, and apparatus and computer-readable storage medium for implementing the method. Background With the development of unconventional oil and gas wells, horizontal wells and large-displacement wells are increased, and the horizontal sections are longer and longer, so that the well track is complex, and the casing cannot be lowered to the designed depth. Whether the casing can be lowered to the design depth is related to the rigidity of the casing, the friction of the lowered casing not only affects whether the casing can be lowered to the design depth, but also affects whether the casing is buckled and the service life of the casing afterwards, so that the prediction and control of the lowered casing friction are the key for successfully implementing a large-displacement well and a horizontal well, and the value of the friction coefficient can also be directly related to the applicability of the prediction result. Because the casing friction coefficient is more affected by drilling fluid performance, stratum lithology, borehole track, rock debris and the like and is not easy to directly calculate, the casing friction coefficient is usually obtained by back calculation of an empirical borehole value and an on-site actual measurement value. Currently, the friction coefficient can be back calculated by the following three methods. Firstly, utilizing the actual measurement torque of drilling and the suspension weight of a drill string to fit and perform inverse calculation, secondly, utilizing the normal lifting and lowering suspension weight inverse calculation actually measured in an open hole section and an upper casing pipe of the drill string, and thirdly, utilizing the normal lifting and lowering suspension weight inverse calculation actually measured in the open hole section and the upper casing pipe of the casing string. The calculation of the friction coefficient after casing running is performed in an inversion way, and although the calculation has a certain reference for the later casing running, the casing running operation of each well cannot be accurately guided due to the differences of drilling fluid performance, borehole track, stratum lithology, rock debris and the like of each well. The invention patent with publication number CN109869132A discloses a method for calculating the friction coefficient of a casing, which is characterized in that the friction coefficient of different centralizer types is obtained, the friction coefficient is calculated through the real-time monitored hook load data, and only the friction coefficient of the actual casing can be calculated. The patent publication No. CN114254499A discloses a method for monitoring drilling operation based on friction coefficient, which monitors borehole conditions and operation conditions in the drilling operation process based on target friction coefficient. The target friction coefficient is the friction coefficient during drilling, the relation between the target friction coefficient and the friction coefficient of the casing running is not clear, and the prediction and control of the friction coefficient of the casing running cannot be directly guided. Disclosure of Invention The present invention aims to address at least one of the above-mentioned deficiencies of the prior art. For example, one of the purposes of the invention is to provide a method for calculating the friction coefficient of casing running, which can calculate the friction coefficient of casing running based on the friction of the drift, improve the accuracy of the friction coefficient of casing running, and provide technical support for the prediction and control of the friction coefficient of casing running in horizontal wells and large-displacement wells. In order to achieve the above object, according to an aspect of the present invention, there is provided a method for calculating a friction coefficient of a casing, the method comprising the steps of: S1, acquiring data, wherein the data can comprise borehole track parameters, well bottom hole assembly parameters, drilling fluid parameters, well loading data and well depth data. S2, screening the data, and carrying out data interpolation on the segmentation points of the bottom hole assembly structure of the open well to confirm the well depth, the well oblique angle and the azimuth angle of any position. S3, calculating the dogleg degree and/or curvature of the corresponding section of the bottom drilling tool assembly structure and the standard drill rod according to the well depth, the well inclination angle and the azimuth angle of the arbitrary p