Improving Casing Wear Prediction and Mitigation Using a Statistically Based Model

2012 ◽  
Author(s):  
Sarah Brianne Mitchell ◽  
Yanghua Lily Xiang
Keyword(s):  
Wear Prediction ◽  
Casing Wear

Experimental Study and Prediction Model of Casing Wear in Oil and Gas Wells

2016 ◽  
Vol 138 (3) ◽  
Author(s):  
Zhanghua Lian ◽  
Qiang Zhang ◽  
Tiejun Lin ◽  
Kuncheng Li ◽  
Yonghui Liu
Keyword(s):  
Prediction Model ◽  
Contact Force ◽  
Oil And Gas ◽  
Economic Losses ◽  
Wear Depth ◽  
Gas Wells ◽  
Wear Prediction ◽  
Oil And Gas Wells ◽  
Casing Wear ◽  
Force Calculation

With the development of drilling technology and reinforced exploration and exploitation of unconventional reservoirs, there has been a great increase of complex wells. Meanwhile, however, consequent casing wear is and will continue to be a serious problem that causes enormous economic losses and many safety issues. The purpose of this paper is to find out the mechanism of casing wear and establish casing wear prediction model. Casing wear experiment was carried out to study the effect of contact force, rotation speed, and casing grade on wear depth. Meanwhile, wear coefficients under different working conditions were obtained through the normalizing of data. With the extensive research of downhole drag and torque calculation method, a contact force calculation model was established. Through the combination of crescent-shaped model and wear-efficiency model, the past complicated casing wear prediction models and confusing empirical formulae were greatly simplified. Therefore, the wear volume and depth of the casing string can be accurately predicted. Finally, a prediction software was developed to predict downhole casing wear of oil and gas wells. Comparison with the field data confirmed that the established model and software had enough accuracy to help predict and analyze casing wear at field.

scholarly journals Prediction of casing wear depth and residual strength in highly-deviated wells based on modeling and simulation

2020 ◽  
Vol 103 (4) ◽  
pp. 003685042096957
Author(s):  
Liangliang Ding ◽  
Miao Xian ◽  
Qiang Zhang
Keyword(s):  
Friction Coefficient ◽  
Contact Force ◽  
Residual Strength ◽  
Strength Degradation ◽  
Force Model ◽  
Wear Depth ◽  
Wear Prediction ◽  
Strength Evaluation ◽  
Casing Wear ◽  
Deviated Wells

Casing wear is a serious problem in highly-deviated wells because serious wear will lead to casing deformation, drilling tool sticking and failure of subsequent operations. The purpose of this paper is to predict casing wear depth and evaluate its effect on casing strength degradation in highly-deviated well drilling operation. Special attention has been given to the algorithm to achieve the prediction and evaluation. The effect of tool joint on contact force distribution is considered in contact force model. Then a wear depth prediction model and its solution method are proposed based on crescent-shaped wear morphology and wear-efficiency model. Besides, strength degradation of worn casing is analyzed in bipolar coordinate system and the model is verified by finite element method. Therefore, the technology of casing wear prediction and residual strength evaluation is completed systematically. Then, to apply casing wear prediction and residual strength evaluation technologies to an actual highly-deviated well, casing wear experiment and friction coefficient experiment are carried out to obtain wear coefficient and friction coefficient. Finally, based on the established models as well as experimental results, the distribution of casing wear is predicted and residual strength is evaluated. The method presented in this paper will contribute greatly to casing wear prediction and evaluation in highly-deviated wells.

Casing Wear Prediction Model Based on Drill String Whirling Motion in Extended-Reach Drilling

2018 ◽  
Vol 43 (11) ◽  
pp. 6325-6332 ◽  
Author(s):  
Leichuan Tan ◽  
Deli Gao ◽  
Jinhui Zhou ◽  
Yongsheng Liu ◽  
Zhengxu Wang
Keyword(s):  
Prediction Model ◽  
Drill String ◽  
Wear Prediction ◽  
Model Based ◽  
Whirling Motion ◽  
Casing Wear ◽  
Extended Reach Drilling

A Practical Approach to Casing Wear Prediction, Modeling and Mitigation on Challenging ERD Wells

2018 ◽  
Author(s):  
Weifeng Dai ◽  
Brian Noel ◽  
Chip Alvord ◽  
Johnson Njoku ◽  
Joey Hopper ◽  
...  
Keyword(s):  
Practical Approach ◽  
Prediction Modeling ◽  
Wear Prediction ◽  
Casing Wear

Casing Wear Prediction with Considering Initial Internal Casing Eccentricity

2017 ◽  
Vol 43 (5) ◽  
pp. 2593-2603 ◽  
Author(s):  
Leichuan Tan ◽  
Deli Gao ◽  
Jinhui Zhou
Keyword(s):  
Wear Prediction ◽  
Casing Wear

Casing Wear: Prediction, Monitoring, Analysis and Management in the Culzean Field

2021 ◽  
Author(s):  
Florian Aichinger ◽  
Loic Brillaud ◽  
Ben Nobbs ◽  
Florent Couliou ◽  
Joy Oyovwevotu ◽  
...  
Keyword(s):  
Field Measurements ◽  
String Model ◽  
Maximum Error ◽  
Groove Depth ◽  
Average Error ◽  
Bias Error ◽  
Wear Factor ◽  
Wear Prediction ◽  
Casing Wear ◽  
Well Data

Abstract Objectives/Scope This paper will present predicted vs. measured wear for six wells that were analysed in the Culzean field, which is a high-pressure, high-temperature (HPHT) gas condensate field located in the central North Sea. The focus rests on the casing wear prediction, monitoring and analysing process and within that, especially on how to make use of offset data to improve the accuracy of casing wear predictions. Methods The three major inputs to successfully predict casing wear are: Trajectory & Tortuosity, Wear Factor and required rotating operations. All those were calibrated based on field measurements (High-resolution gyro, MFCL (Multi-Finger-Caliper-Log) and automatically recorded rig mechanics data), to improve the prediction quality for the next section and/or well. The simulations were done using an advanced stiff-string model featuring a 3D mesh that distinguishes the influence of different contact type and geometry on the wear groove shape. The "single MFCL interpretation method", in which the wear is measured against the most probable elliptical casing shape and herby allowing wear interpretation with only one MFCL log and avoiding bias error, was applied. (Aichinger, 2016) Results, Observations, Conclusions For the six wells that were analysed the prediction of the largest wear peak per well section was compared to the measurement. In the planning phase (before any survey data was available) the mean error on the wear groove depth was +/− 0.025 [in] (+/− 0.6 [mm]), the maximum error was +/− 0.045 [in] (1.1 [mm]). The average error of the results is summarized in Figure 10 and laid out in detail in Figure 9. Generally, the predictions are accurate enough to be able to manage casing wear effectively. In this particular case, the maximum allowable wear on the intermediate casing was extremely limited to ensure proper well integrity in case of a well full of gas event while drilling an HTHP reservoir. Novel/Additive Information This paper should provide help to Engineers who seek to improve the accuracy of casing wear prediction and hence improve casing wear management. It presents a new way of anticipating tortuosity based on offset well data and it offers a suggestion on how to deal with MFCL measurement error during Wear Factor calibration and Wear prediction.

Casing Wear Prediction and Management in Deepwater Wells

2010 ◽  
Author(s):  
William Malcolm Calhoun ◽  
Sheldon Perry Langdon ◽  
Jiang Wu ◽  
Gerald Phillip Hogan ◽  
Kory Rutledge
Keyword(s):  
Wear Prediction ◽  
Casing Wear

Casing Wear Prediction Model Based on Casing Ellipticity in Oil & Gas Well-Drilling With Complex Structures

2018 ◽  
Vol 85 (10) ◽  
Author(s):  
Leichuan Tan ◽  
Deli Gao
Keyword(s):  
Prediction Model ◽  
Oil And Gas ◽  
Drill Pipe ◽  
Inversion Method ◽  
Complex Structures ◽  
Oil And Gas Development ◽  
Gas Well ◽  
Wear Prediction ◽  
Well Drilling ◽  
Casing Wear

Any casing with perfect integrity within a complex oil and gas development scenario is subject to formation extrusion resulting in ellipticity. This paper proposes a novel casing wear prediction model, which encompasses ellipticity, geometric structural relationships, and the energy dissipation law at work in the casing. Composite structural wear models are also utilized to determine the influence of different drill pipe combinations on casing wear predictions. The casing wear position is predicted based on casing ellipticity. The proposed model yields more accurate casing wear predictions than previous models which do not properly account for casing ellipticity; to this effect, it may more effectively minimize the cost of drilling engineering and safeguard against accidents. The proposed method also outperformed other methods in a case study on a shale gas development project in Fuling, China. The inversion method is applicable to wells with similar structure to the drilled well, where casing wear position can be evaluated very accurately according to caliper logging system measurements. The proposed method facilitates sound decision-making while guaranteeing secure and reliable oil and gas well-drilling with complex structures.

DEVELOPMENT OF A METHODOLOGY FOR SMALL SCALE CASING WEAR TESTING

2019 ◽  
Author(s):  
Edja Iandeyara Freitas Moura ◽  
Juliano Oséias de Moraes ◽  
João Pedro Costa Cardoso ◽  
Joseir Percy ◽  
Sinésio Franco
Keyword(s):  
Wear Testing ◽  
Small Scale ◽  
Casing Wear
Sign in / Sign up

Export Citation Format

Share Document