Research Papers: Materials and Fabrication

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

[+] Author and Article Information
Zhanghua Lian

State Key Lab of Oil and Gas Reservoir Geology
and Exploitation,
Southwest Petroleum University,
Chengdu, Sichuan 610500, China
e-mail: milsu1964@163.com

Qiang Zhang, Tiejun Lin, Kuncheng Li

State Key Lab of Oil and Gas Reservoir Geology
and Exploitation,
Southwest Petroleum University,
Chengdu, Sichuan 610500, China

Yonghui Liu

PetroChina Jidong Oilfield Drilling and
Production Technology Research Institute,
Tangshan, Hebei 063004, China

1Corresponding author.

Contributed by the Pressure Vessel and Piping Division of ASME for publication in the JOURNAL OF PRESSURE VESSEL TECHNOLOGY. Manuscript received June 15, 2015; final manuscript received January 3, 2016; published online February 5, 2016. Assoc. Editor: Haofeng Chen.

J. Pressure Vessel Technol 138(3), 031404 (Feb 05, 2016) (6 pages) Paper No: PVT-15-1124; doi: 10.1115/1.4032473 History: Received June 15, 2015; Revised January 03, 2016

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.

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Fig. 1

Contact state of drill string and casing in dogleg section

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Fig. 2

Force state of drill string in three-dimensional borehole

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Fig. 3

Coordinate system for crescent-shaped casing wear

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Fig. 4

Casing wear (a) experiment setup and (b) schematic diagram

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Fig. 5

Morphology of worn area on casing specimen at different time: (a) 2 hrs of wear, (b) 4 hrs of wear, (c) 10 hrs of wear, and (d) 20 hrs of wear

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Fig. 6

Weight loss at different contact force and revolving speed: (a) P110 casing and (b) N80 casing

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Fig. 7

Wear coefficient between tool joint and P110 casing

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Fig. 8

Wear coefficient between tool joint and N80 casing

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Fig. 9

Three-dimensional well trajectory of X-86

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Fig. 10

(a) Contact force and (b) contact position (drilling footage of 4000 m)

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Fig. 11

Predicted casing wear depth and dangerous position



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